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Sinta Prastiana Dewi
Kualitas hidup pasien anak dengan tumor otak pasca Radioterapi Berdasarkan Pediatric Quality of Life inventory ™ (PedsQL™ = Quality of life in pediatric with brain tumor post radiotherapy based on pediatric quality of life inventory™ (PedsQL™)
"Tujuan: Mengetahui kualitas hidup pasien anak dengan tumor otak yang telah
menjalani radioterapi di Rumah Sakit Umum Pusat Nasional (RSUPN) Dr. Cipto
Mangunkusumo berdasarkan PedsQL™ 4.0 skala generik serta mengetahui
kesintasannya serta faktor risiko yang berpengaruh terhadap mortalitas. Metode:
Dilakukan studi dengan desain potong lintang yang melibatkan 88 pasien dan sebanyak
26 diantaranya turut serta dalam penilaian kualitas hidup dengan menggunakan
instrumen Pediatric Quality of Life Infentory (PedsQL™) 4.0 skala generik. Hasil: Dari
88 pasien yang terlibat dalam penelitian ini, sebanyak 31 pasien loss to follow up, 28
pasien terkonfirmasi meninggal, dan 29 pasien terkonfirmasi hidup. Kesintasan (OS) 1
tahun, 3 tahun, dan 5 tahun beturut-turut sebesar 71,6 %, 43,2%, dan 5,7%. Lokasi
tumor infratentorial dan usia yang lebih muda pada saat diagnosis merupakan faktor
risiko yang dapat meningkatkan mortalitas pada pasien anak dengan tumor otak pasca
radioterapi dengan nilai p 0,044 dan 0,036. Nilai rerata kualitas berdasarkan laporan
anak dan laporan orang tua PedsQL™ 4.0 skala generik adalah sebesar 70,686 dan
70,152. Penghasilan keluarga ≥ Rp 4.200.000,00 merupakan faktor yang meningkatkan
kualitas hidup anak dengan tumor otak pasca radioterapi (p=0,008). Kesimpulan:
Kualitas hidup pada pasien anak dengan tumor otak pasca radioterapi dapat dipengaruhi
oleh faktor sosioekonomi yaitu penghasilan keluarga. Lokasi tumor dan usia yang lebih
muda saat didiagnosis dapat meningkatkan risiko mortalitas.
Aims: This study was aimed to show the quality of life in children with brain tumor
after radiotherapy in Dr. Cipto Mangunkusumo National General Hospital based on
PedsQL™ 4.0 generic core scale. This study was also aimed to show the overall
survival and mortality risk factors. Methods: This cross-sectional study consisted of 88
children with brain tumor after radiotherapy. There were 26 of 88 children assessed by
PedsQL™ 4.0 generic core scale. Results: Of the 88 patients involved in this study, 31
patients lost to follow-up, 28 patients were confirmed dead, and 29 patients were
confirmed alive. One year, 3 years, and 5 years overall survival were respectively
71.6%, 43.2%, and 5.7%. Infratentorial tumor location and younger age at diagnosis
were risk factors that can increase the incidence of mortality (p= 0.044 and 0.036).
Children’s quality of life were 70.686 and 70.152 based on PedsQL ™ children and
parents' reports. Family income ≥ IDR 4,200,000.00 was a factor that improved the
quality of life in children with brain tumors after radiotherapy (p = 0.008). Conclusion:
Quality of life in pediatric patients with brain tumor after radiotherapy could be
influenced by family income. The location of the tumor and the younger age at diagnosis could increase the risk of mortality."
Depok: Fakultas Kedokteran Universitas Indonesia, 2021
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Nurul Asyrifah
Studi Teknik Penyinaran Radioterapi Adaptif: Evaluasi Dosimetri pada Pasien Tumor Otak = Study on Adaptive Radiotherapy Beam Delivery Technique: Dosimetry Evaluation in Brain Tumor Patients
"Penelitian ini bertujuan untuk mengevaluasi perhitungan dosis berdasarkan citra Cone Beam Computed Tomography (CBCT) pada pasien dengan diagnosa tumor otak. Perencanaan dan perhitungan dosis berdasarkan citra CBCT fraksinasi ke-16 yang dilakukan terhadap 13 pasien yang disinari menggunakan pesawat linac Elekta Versa HD dan 7 pasien yang disinari menggunakan pesawat linac Halcyon 2.0. Perencanaan dan perhitungan dosis dilakukan pada Treatment Planning System (TPS) Eclipse dan TPS Monaco. Hasil perhitungan dosis berdasarkan citra CBCT dibandingkan dengan citra Computed Tomography (CT) simulator. Penelitian ini memiliki beberapa tahapan, (1) kalibrasi Hounsfield Unit (HU) citra CBCT menggunakan fantom CIRS CT electron density 062M untuk melakukan perhitungan dosis di TPS dengan nilai HU yang sesuai, (2) proses pengumpulan data citra pasien yang memenuhi kriteria penelitian dan dilanjutkan dengan proses registrasi dan perencanaan citra CBCT, (3) analisis Dose Volume Histogram (DVH) untuk mengevaluasi kualitas perencanaan dengan parameter dosis yaitu Conformity Index (CI) dan Homogeneity Index (HI), (4) analisis dosis Organ at Risk (OAR) terhadap dose-constraint (batas dosis) untuk OAR batang otak, kiasma, sumsum tulang belakang, saraf optik, mata dan lensa. Nilai CI pada perencanaan berdasarkan CT tidak berbeda secara signifikan, Berdasarkan CBCT dari pesawat linac Elekta Versa HD diperoleh CI sebesar 0,05±0,21 (p=0,08) dan -0,01 ± 0,06 (p=0,02) berdasarkan CBCT dari pesawat linac Halcyon 2.0. Sementara itu, nilai HI pada perencanaan berdasarkan CBCT diamati berbeda secara signifikan terhadap CT, Berdasarkan CBCT dari pesawat linac Elekta Versa HD diperoleh HI sebesar 0,25 ± 0,43 (p=0,01) dan 0,08 ± 0,04 (p=0,01) berdasarkan CBCT dari pesawat linac Halcyon 2.0.
This research aims to evaluate dose calculations based on Cone Beam Computed Tomography (CBCT) images in patients diagnosed with brain tumors. Planning and dose calculations based on the 16th fraction of CBCT images were performed on 13 patients irradiated using Elekta Versa HD linear accelerator and 7 patients irradiated using Halcyon 2.0 linear accelerator. The planning and dose calculations were conducted using the Treatment Planning System (TPS) Eclipse and TPS Monaco. The results of the dose calculations based on CBCT images were compared with the Computed Tomography (CT) simulator images. The research comprised several stages: (1) calibration of Hounsfield Unit (HU) of CBCT images using CIRS CT electron density 062M phantom to perform dose calculations in TPS with appropriate HU values, (2) data collection of patient images meeting the research criteria followed by image registration and CBCT planning, (3) analysis of Dose Volume Histogram (DVH) to evaluate planning quality using dose parameters such as Conformity Index (CI) and Homogeneity Index (HI), (4) analysis of dose to Organs at Risk (OAR) against dose constraints for OARs such as brainstem, chiasm, spinal cord, optic nerves, eyes, and lenses. The CI values for the planning based on CT were not significantly different. Based on CBCT from Elekta Versa HD linear accelerator, the CI obtained was 0.05 ± 0.21 (p=0.08), and based on CBCT from Halcyon 2.0 linear accelerator, the CI obtained was -0.01 ± 0.06 (p=0.02). However, the HI values for planning based on CBCT significantly differed from CT. Based on CBCT from Elekta Versa HD linear accelerator, the HI obtained was 0.25 ± 0.43 (p=0.01), and based on CBCT from Halcyon 2.0 linear accelerator, the HI obtained was 0.08 ± 0.04 (p=0.01)."
Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2023
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Siregar, Marsintauli Hasudungan
Gambaran klinis radiologis histopatologis dan faktor prognostik tumor otak pada anak = Clinical radiology histopathology features and prognostic factor of child brain tumor
"[ABSTRAK
Tumor otak (TO) merupakan penyebab kematian kedua dari
semua kanker yang terjadi pada anak. TO memiliki gambaran klinis, radiologis
dan histopatologis yang sangat bervariasi karena proses pengembangan sel-sel
jaringan otak masih berlanjut sampai usia 3 tahun. Data penelitian mengenai TO
pada anak masih sedikit.
Tujuan: Untuk mengetahui gambaran klinis, radiologis, histopatologis dan faktor
prognostik TO di Departemen Ilmu Kesehatan Anak FKUI/ RS. Dr.
Ciptomangunkusumo Jakarta periode tahun 2010 - 2015.
Metode Penelitian: Kohort retrospektif dilakukan pada semua anak dengan TO
primer yang berobat/dirawat di Departemen Ilmu Kesehahatan Anak FKUI/RS
Dr. Ciptomangunkusumo Jakarta.
Hasil: Didapatkan 88 pasien TO primer, terdiri dari 16 pasien berusia kurang dari
3 tahun dan 72 pasien berusia lebih dari 3 tahun, laki-laki 53% dan perempuan
47%. Anak usia kurang dari 3 tahun mengalami gejala sakit kepala (63%) dan
kejang (56%), berdasarkan radiologis letak TO yang terbanyak adalah di cerebral
ventrikel (25%) dan cerebellum (24%), berdasarkan histopatologis jenis TO yang
terbanyak adalah Astrositoma (31%) dan Medulloblastoma (25%). Anak usia
lebih dari 3 tahun mengalami gejala sakit kepala (81%) dan gangguan penglihatan
(65%), berdasarkan radiologis letak TO yang terbanyak adalah di cerebellum
(24%) dan suprasellar (10 %), berdasarkan histopatologis jenis TO yang
terbanyak adalah Medulloblastoma (21%), Astrositoma (18%) dan Glioma (17%).
Angka kehidupan TO adalah 37 %. Tidak didapatkan faktor prognostik TO yang
bermakna.
Kesimpulan: Gejala TO tersering adalah sakit kepala, berdasarkan radiologis
letak tumor terbanyak adalah di cerebellum serta berdasarkan histopatologis jenis
tumor terbanyak adalah Medulloblastoma dan Astrositoma. Tidak didapatkan
faktor prognostik TO pada anak.
ABSTRACT
Primary brain tumors rank second as the most frequent neoplasm in
children. The lesions occurring in neonates or infants have been reported to differ
from those in older children in terms of their clinical presentation, radiology and
histopathology features.
Objective To clarify the clinical presentation, radiology, histopathology features.
and prognostic factor of primary brain tumors in Child Department
Ciptomangunkusumo Hospital Jakarta in 2010 - 2015.
Method: Retrospective cohort using medical records and neuroradiological dan
histopathological studies, we analyzed each patient?s clinical presentation, tumor
location, histopathological diagnosis and treatment then we compared between
under 3 years of age and more 3 years of age . The patients were followed until
their death or until the end of October 2015.
Result: 88 patient of primer brain tumor that consist of 16 patients with under 3
years of age and 72 patients with more 3 years of age. Boys are 53% and girls
are 47% . The most symptoms of children under 3 years of age is headache (63%)
and seizure (56%), based on radiology the most location tumor is cerebral
ventrikel (25%) and cerebellum (24%), based on histopathology the predominant
tumor is Astrositoma (31%) and Medulloblastoma (25%). The most symptoms
of children more 3 years of age is headache (81%) and visual difficulties (65%),
based on radiology the most tumor location is cerebellum (24%) and suprasellar
(10 %), based on histopathology the predominat tumor is Medulloblastoma
(21%), Astrositoma (18%) and Glioma (17%). The life expectancy rate is 37 %.
There is no prognostic factor of brain tumor.
Conclusion: The most symptom of brain tumor is headache, based on radiology
the most tumor location is cerebellum, and based on histopathology the
predominant tumor is Medulloblastoma and Astrositoma. There is no prognostic
factor of brain tumor.;Background: Primary brain tumors rank second as the most frequent neoplasm in
children. The lesions occurring in neonates or infants have been reported to differ
from those in older children in terms of their clinical presentation, radiology and
histopathology features.
Objective To clarify the clinical presentation, radiology, histopathology features.
and prognostic factor of primary brain tumors in Child Department
Ciptomangunkusumo Hospital Jakarta in 2010 - 2015.
Method: Retrospective cohort using medical records and neuroradiological dan
histopathological studies, we analyzed each patient?s clinical presentation, tumor
location, histopathological diagnosis and treatment then we compared between
under 3 years of age and more 3 years of age . The patients were followed until
their death or until the end of October 2015.
Result: 88 patient of primer brain tumor that consist of 16 patients with under 3
years of age and 72 patients with more 3 years of age. Boys are 53% and girls
are 47% . The most symptoms of children under 3 years of age is headache (63%)
and seizure (56%), based on radiology the most location tumor is cerebral
ventrikel (25%) and cerebellum (24%), based on histopathology the predominant
tumor is Astrositoma (31%) and Medulloblastoma (25%). The most symptoms
of children more 3 years of age is headache (81%) and visual difficulties (65%),
based on radiology the most tumor location is cerebellum (24%) and suprasellar
(10 %), based on histopathology the predominat tumor is Medulloblastoma
(21%), Astrositoma (18%) and Glioma (17%). The life expectancy rate is 37 %.
There is no prognostic factor of brain tumor.
Conclusion: The most symptom of brain tumor is headache, based on radiology
the most tumor location is cerebellum, and based on histopathology the
predominant tumor is Medulloblastoma and Astrositoma. There is no prognostic
factor of brain tumor.;Background: Primary brain tumors rank second as the most frequent neoplasm in
children. The lesions occurring in neonates or infants have been reported to differ
from those in older children in terms of their clinical presentation, radiology and
histopathology features.
Objective To clarify the clinical presentation, radiology, histopathology features.
and prognostic factor of primary brain tumors in Child Department
Ciptomangunkusumo Hospital Jakarta in 2010 - 2015.
Method: Retrospective cohort using medical records and neuroradiological dan
histopathological studies, we analyzed each patient?s clinical presentation, tumor
location, histopathological diagnosis and treatment then we compared between
under 3 years of age and more 3 years of age . The patients were followed until
their death or until the end of October 2015.
Result: 88 patient of primer brain tumor that consist of 16 patients with under 3
years of age and 72 patients with more 3 years of age. Boys are 53% and girls
are 47% . The most symptoms of children under 3 years of age is headache (63%)
and seizure (56%), based on radiology the most location tumor is cerebral
ventrikel (25%) and cerebellum (24%), based on histopathology the predominant
tumor is Astrositoma (31%) and Medulloblastoma (25%). The most symptoms
of children more 3 years of age is headache (81%) and visual difficulties (65%),
based on radiology the most tumor location is cerebellum (24%) and suprasellar
(10 %), based on histopathology the predominat tumor is Medulloblastoma
(21%), Astrositoma (18%) and Glioma (17%). The life expectancy rate is 37 %.
There is no prognostic factor of brain tumor.
Conclusion: The most symptom of brain tumor is headache, based on radiology
the most tumor location is cerebellum, and based on histopathology the
predominant tumor is Medulloblastoma and Astrositoma. There is no prognostic
factor of brain tumor.;Background: Primary brain tumors rank second as the most frequent neoplasm in
children. The lesions occurring in neonates or infants have been reported to differ
from those in older children in terms of their clinical presentation, radiology and
histopathology features.
Objective To clarify the clinical presentation, radiology, histopathology features.
and prognostic factor of primary brain tumors in Child Department
Ciptomangunkusumo Hospital Jakarta in 2010 - 2015.
Method: Retrospective cohort using medical records and neuroradiological dan
histopathological studies, we analyzed each patient?s clinical presentation, tumor
location, histopathological diagnosis and treatment then we compared between
under 3 years of age and more 3 years of age . The patients were followed until
their death or until the end of October 2015.
Result: 88 patient of primer brain tumor that consist of 16 patients with under 3
years of age and 72 patients with more 3 years of age. Boys are 53% and girls
are 47% . The most symptoms of children under 3 years of age is headache (63%)
and seizure (56%), based on radiology the most location tumor is cerebral
ventrikel (25%) and cerebellum (24%), based on histopathology the predominant
tumor is Astrositoma (31%) and Medulloblastoma (25%). The most symptoms
of children more 3 years of age is headache (81%) and visual difficulties (65%),
based on radiology the most tumor location is cerebellum (24%) and suprasellar
(10 %), based on histopathology the predominat tumor is Medulloblastoma
(21%), Astrositoma (18%) and Glioma (17%). The life expectancy rate is 37 %.
There is no prognostic factor of brain tumor.
Conclusion: The most symptom of brain tumor is headache, based on radiology
the most tumor location is cerebellum, and based on histopathology the
predominant tumor is Medulloblastoma and Astrositoma. There is no prognostic
factor of brain tumor.;Background: Primary brain tumors rank second as the most frequent neoplasm in
children. The lesions occurring in neonates or infants have been reported to differ
from those in older children in terms of their clinical presentation, radiology and
histopathology features.
Objective To clarify the clinical presentation, radiology, histopathology features.
and prognostic factor of primary brain tumors in Child Department
Ciptomangunkusumo Hospital Jakarta in 2010 - 2015.
Method: Retrospective cohort using medical records and neuroradiological dan
histopathological studies, we analyzed each patient?s clinical presentation, tumor
location, histopathological diagnosis and treatment then we compared between
under 3 years of age and more 3 years of age . The patients were followed until
their death or until the end of October 2015.
Result: 88 patient of primer brain tumor that consist of 16 patients with under 3
years of age and 72 patients with more 3 years of age. Boys are 53% and girls
are 47% . The most symptoms of children under 3 years of age is headache (63%)
and seizure (56%), based on radiology the most location tumor is cerebral
ventrikel (25%) and cerebellum (24%), based on histopathology the predominant
tumor is Astrositoma (31%) and Medulloblastoma (25%). The most symptoms
of children more 3 years of age is headache (81%) and visual difficulties (65%),
based on radiology the most tumor location is cerebellum (24%) and suprasellar
(10 %), based on histopathology the predominat tumor is Medulloblastoma
(21%), Astrositoma (18%) and Glioma (17%). The life expectancy rate is 37 %.
There is no prognostic factor of brain tumor.
Conclusion: The most symptom of brain tumor is headache, based on radiology
the most tumor location is cerebellum, and based on histopathology the
predominant tumor is Medulloblastoma and Astrositoma. There is no prognostic
factor of brain tumor.;Background: Primary brain tumors rank second as the most frequent neoplasm in
children. The lesions occurring in neonates or infants have been reported to differ
from those in older children in terms of their clinical presentation, radiology and
histopathology features.
Objective To clarify the clinical presentation, radiology, histopathology features.
and prognostic factor of primary brain tumors in Child Department
Ciptomangunkusumo Hospital Jakarta in 2010 - 2015.
Method: Retrospective cohort using medical records and neuroradiological dan
histopathological studies, we analyzed each patient?s clinical presentation, tumor
location, histopathological diagnosis and treatment then we compared between
under 3 years of age and more 3 years of age . The patients were followed until
their death or until the end of October 2015.
Result: 88 patient of primer brain tumor that consist of 16 patients with under 3
years of age and 72 patients with more 3 years of age. Boys are 53% and girls
are 47% . The most symptoms of children under 3 years of age is headache (63%)
and seizure (56%), based on radiology the most location tumor is cerebral
ventrikel (25%) and cerebellum (24%), based on histopathology the predominant
tumor is Astrositoma (31%) and Medulloblastoma (25%). The most symptoms
of children more 3 years of age is headache (81%) and visual difficulties (65%),
based on radiology the most tumor location is cerebellum (24%) and suprasellar
(10 %), based on histopathology the predominat tumor is Medulloblastoma
(21%), Astrositoma (18%) and Glioma (17%). The life expectancy rate is 37 %.
There is no prognostic factor of brain tumor.
Conclusion: The most symptom of brain tumor is headache, based on radiology
the most tumor location is cerebellum, and based on histopathology the
predominant tumor is Medulloblastoma and Astrositoma. There is no prognostic
factor of brain tumor.;Background: Primary brain tumors rank second as the most frequent neoplasm in
children. The lesions occurring in neonates or infants have been reported to differ
from those in older children in terms of their clinical presentation, radiology and
histopathology features.
Objective To clarify the clinical presentation, radiology, histopathology features.
and prognostic factor of primary brain tumors in Child Department
Ciptomangunkusumo Hospital Jakarta in 2010 - 2015.
Method: Retrospective cohort using medical records and neuroradiological dan
histopathological studies, we analyzed each patient?s clinical presentation, tumor
location, histopathological diagnosis and treatment then we compared between
under 3 years of age and more 3 years of age . The patients were followed until
their death or until the end of October 2015.
Result: 88 patient of primer brain tumor that consist of 16 patients with under 3
years of age and 72 patients with more 3 years of age. Boys are 53% and girls
are 47% . The most symptoms of children under 3 years of age is headache (63%)
and seizure (56%), based on radiology the most location tumor is cerebral
ventrikel (25%) and cerebellum (24%), based on histopathology the predominant
tumor is Astrositoma (31%) and Medulloblastoma (25%). The most symptoms
of children more 3 years of age is headache (81%) and visual difficulties (65%),
based on radiology the most tumor location is cerebellum (24%) and suprasellar
(10 %), based on histopathology the predominat tumor is Medulloblastoma
(21%), Astrositoma (18%) and Glioma (17%). The life expectancy rate is 37 %.
There is no prognostic factor of brain tumor.
Conclusion: The most symptom of brain tumor is headache, based on radiology
the most tumor location is cerebellum, and based on histopathology the
predominant tumor is Medulloblastoma and Astrositoma. There is no prognostic
factor of brain tumor.;Background: Primary brain tumors rank second as the most frequent neoplasm in
children. The lesions occurring in neonates or infants have been reported to differ
from those in older children in terms of their clinical presentation, radiology and
histopathology features.
Objective To clarify the clinical presentation, radiology, histopathology features.
and prognostic factor of primary brain tumors in Child Department
Ciptomangunkusumo Hospital Jakarta in 2010 - 2015.
Method: Retrospective cohort using medical records and neuroradiological dan
histopathological studies, we analyzed each patient?s clinical presentation, tumor
location, histopathological diagnosis and treatment then we compared between
under 3 years of age and more 3 years of age . The patients were followed until
their death or until the end of October 2015.
Result: 88 patient of primer brain tumor that consist of 16 patients with under 3
years of age and 72 patients with more 3 years of age. Boys are 53% and girls
are 47% . The most symptoms of children under 3 years of age is headache (63%)
and seizure (56%), based on radiology the most location tumor is cerebral
ventrikel (25%) and cerebellum (24%), based on histopathology the predominant
tumor is Astrositoma (31%) and Medulloblastoma (25%). The most symptoms
of children more 3 years of age is headache (81%) and visual difficulties (65%),
based on radiology the most tumor location is cerebellum (24%) and suprasellar
(10 %), based on histopathology the predominat tumor is Medulloblastoma
(21%), Astrositoma (18%) and Glioma (17%). The life expectancy rate is 37 %.
There is no prognostic factor of brain tumor.
Conclusion: The most symptom of brain tumor is headache, based on radiology
the most tumor location is cerebellum, and based on histopathology the
predominant tumor is Medulloblastoma and Astrositoma. There is no prognostic
factor of brain tumor.;Background: Primary brain tumors rank second as the most frequent neoplasm in
children. The lesions occurring in neonates or infants have been reported to differ
from those in older children in terms of their clinical presentation, radiology and
histopathology features.
Objective To clarify the clinical presentation, radiology, histopathology features.
and prognostic factor of primary brain tumors in Child Department
Ciptomangunkusumo Hospital Jakarta in 2010 - 2015.
Method: Retrospective cohort using medical records and neuroradiological dan
histopathological studies, we analyzed each patient?s clinical presentation, tumor
location, histopathological diagnosis and treatment then we compared between
under 3 years of age and more 3 years of age . The patients were followed until
their death or until the end of October 2015.
Result: 88 patient of primer brain tumor that consist of 16 patients with under 3
years of age and 72 patients with more 3 years of age. Boys are 53% and girls
are 47% . The most symptoms of children under 3 years of age is headache (63%)
and seizure (56%), based on radiology the most location tumor is cerebral
ventrikel (25%) and cerebellum (24%), based on histopathology the predominant
tumor is Astrositoma (31%) and Medulloblastoma (25%). The most symptoms
of children more 3 years of age is headache (81%) and visual difficulties (65%),
based on radiology the most tumor location is cerebellum (24%) and suprasellar
(10 %), based on histopathology the predominat tumor is Medulloblastoma
(21%), Astrositoma (18%) and Glioma (17%). The life expectancy rate is 37 %.
There is no prognostic factor of brain tumor.
Conclusion: The most symptom of brain tumor is headache, based on radiology
the most tumor location is cerebellum, and based on histopathology the
predominant tumor is Medulloblastoma and Astrositoma. There is no prognostic
factor of brain tumor.;Background: Primary brain tumors rank second as the most frequent neoplasm in
children. The lesions occurring in neonates or infants have been reported to differ
from those in older children in terms of their clinical presentation, radiology and
histopathology features.
Objective To clarify the clinical presentation, radiology, histopathology features.
and prognostic factor of primary brain tumors in Child Department
Ciptomangunkusumo Hospital Jakarta in 2010 - 2015.
Method: Retrospective cohort using medical records and neuroradiological dan
histopathological studies, we analyzed each patient?s clinical presentation, tumor
location, histopathological diagnosis and treatment then we compared between
under 3 years of age and more 3 years of age . The patients were followed until
their death or until the end of October 2015.
Result: 88 patient of primer brain tumor that consist of 16 patients with under 3
years of age and 72 patients with more 3 years of age. Boys are 53% and girls
are 47% . The most symptoms of children under 3 years of age is headache (63%)
and seizure (56%), based on radiology the most location tumor is cerebral
ventrikel (25%) and cerebellum (24%), based on histopathology the predominant
tumor is Astrositoma (31%) and Medulloblastoma (25%). The most symptoms
of children more 3 years of age is headache (81%) and visual difficulties (65%),
based on radiology the most tumor location is cerebellum (24%) and suprasellar
(10 %), based on histopathology the predominat tumor is Medulloblastoma
(21%), Astrositoma (18%) and Glioma (17%). The life expectancy rate is 37 %.
There is no prognostic factor of brain tumor.
Conclusion: The most symptom of brain tumor is headache, based on radiology
the most tumor location is cerebellum, and based on histopathology the
predominant tumor is Medulloblastoma and Astrositoma. There is no prognostic
factor of brain tumor., Background: Primary brain tumors rank second as the most frequent neoplasm in
children. The lesions occurring in neonates or infants have been reported to differ
from those in older children in terms of their clinical presentation, radiology and
histopathology features.
Objective To clarify the clinical presentation, radiology, histopathology features.
and prognostic factor of primary brain tumors in Child Department
Ciptomangunkusumo Hospital Jakarta in 2010 - 2015.
Method: Retrospective cohort using medical records and neuroradiological dan
histopathological studies, we analyzed each patient?s clinical presentation, tumor
location, histopathological diagnosis and treatment then we compared between
under 3 years of age and more 3 years of age . The patients were followed until
their death or until the end of October 2015.
Result: 88 patient of primer brain tumor that consist of 16 patients with under 3
years of age and 72 patients with more 3 years of age. Boys are 53% and girls
are 47% . The most symptoms of children under 3 years of age is headache (63%)
and seizure (56%), based on radiology the most location tumor is cerebral
ventrikel (25%) and cerebellum (24%), based on histopathology the predominant
tumor is Astrositoma (31%) and Medulloblastoma (25%). The most symptoms
of children more 3 years of age is headache (81%) and visual difficulties (65%),
based on radiology the most tumor location is cerebellum (24%) and suprasellar
(10 %), based on histopathology the predominat tumor is Medulloblastoma
(21%), Astrositoma (18%) and Glioma (17%). The life expectancy rate is 37 %.
There is no prognostic factor of brain tumor.
Conclusion: The most symptom of brain tumor is headache, based on radiology
the most tumor location is cerebellum, and based on histopathology the
predominant tumor is Medulloblastoma and Astrositoma. There is no prognostic
factor of brain tumor.]"
2016
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UI - Tesis Membership  Universitas Indonesia Library
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Seno Dwi Aribowo
Analisis praktik klinik keperawatan kesehatan masalah perkotaan pada anak dengan tumor mediastinum di ruang perawatan anak gedung A lantai 1 RSUPN Dr. Cipto Mangunkusumo = Analysis of urban nursing practice in patient with mediastinal tumor at pediatric ward 1st floor gedung A RSUPN Dr. Cipto Mangunkusumo
"ABSTRAK
Nama : Seno Dwi AribowoProgram Studi : Profesi Ilmu KeperawatanJudul Karya Ilmiah Akhir : Analisis Praktik Klinik Keperawatan Kesehatan Masalah Perkotaan Pada Anak Dengan Tumor Mediastinum Di Ruang Perawatan Anak Gedung A Lantai 1 Rsupn Dr. Cipto Mangunkusumo Pasien dengan penyakit tumor mediastinum ,memungkinkan terjadi peningkatan produksi sputum yang menyumbat saluran pernapasan. Salah satu tindakan yang aman dan direkomendasikan untuk mengeluarkan sputum yang menyumbat saluran napas pada pasien dengan tumor paru adalah menggunakan teknik Active Cycle of Breathing Technique ACBT . Teknik ini dilakukan terhadap salah satu pasien anak berusia 12 tahun yang mengalami tumor mediastinum dengan masalah ketidakefektifan bersihan jalan napas akibat penumpukan sputum di ruang rawat anak lantai 1 gedung A RSUPN Cipto Mangunkusumo Jakarta. Setelah dilakukan tindakan selama 11 hari didapatkan hasil, pasien dapat mengeluarkan sputum yang menyumbat sehingga produksi sputum berkurang. Berdasarkan hasil tersebut, teknik ACBT terbukti efektif membantu pasien untuk mengeluarkan sputum yang menyumbat pada pasien dengan tumor paru.Kata kunci: ACBT, Penumpukan Sputum, Tumor Mediastinum.
ABSTRACT
Name Seno Dwi AribowoStudy Program Faculty of NursingTittle Analysis of Urban Nursing Practice in Patient With Mediastinal Tumor at Pediatric Ward 1st floor gedung A RSUPN Dr. Cipto Mangunkusumo Patients with a mediastinal tumor may have an increased sputum production that clogs the respiratory tract. One of the safest and recommended actions to remove sputum that obstructs the airway in patients with lung tumors is using Active Cycle of Breathing Technique ACBT technique. This technique was performed on the 12 year old pediatric patients who had a mediastinal tumor with inefective airway clearence problems due to sputum accumulation in first floor child unit Gedung A of Cipto Mangunkusumo Jakarta Hospital. After an 8 day action, the result showed patient can remove the clogged sputum so that sputum production is reduced. Based on these results, the ACBT technique proved to be effective in helping patients to remove clogged sputum in patients with lung tumors.Keywords ACBT, Sputum Accumulation, Mediastinal Tumor."
Depok: Fakultas Ilmu Keperawatan Universitas Indonesia, 2017
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Luqyana Adha Azwat
Prediksi Distribusi Dosis Radioterapi dengan Model Algoritma Random forest untuk Teknik Perencanaan Volumetric Modulated Arc Therapy (VMAT) pada Kasus Kanker Otak = Prediction of Radiotherapy Dose Distribution using a Random forest Algorithm Model for Volumetric Modulated Arc Therapy (VMAT) Planning in Brain Cancer Cases
"Optimasi dosis radiasi pada perencanaan klinis menggunakan Treatment Planning System (TPS) untuk pasien radioterapi sangat penting untuk mencapai keseimbangan antara efektivitas terapi dan keselamatan pasien. Namun, proses ini memakan waktu dan sangat bergantung pada keahlian fisikawan medis. Pada penelitian ini dilakukan prediksi dosis menggunakan machine learning pada Planning Target Volume (PTV) dan Organ at Risk (OAR) untuk kasus kanker otak dengan teknik perencanaan Volumetric Modulated Arc Therapy (VMAT). Data DICOM perencanaan di ekstraksi menggunakan 3D slicer untuk mendapatkan nilai radiomic dan dosiomic yang akan digunakan pada penelitian ini dengan menggunakan model algoritma random forest. Hasil evaluasi model menunjukkan bahwa peforma model random forest dalam memprediksi dosis memiliki nilai Mean Square Error (MSE) sebesar 0,018. Nilai Homogeneity Index (HI) dan Conformity Index (CI) untuk data klinis adalah 0,136±0,134 dan 0,939±0,131 secara berturut-turut, sementara hasil prediksinya adalah 0,136±0,039 dan 0,949±0,006, dengan nilai p-value untuk fitur PTV dan OAR > 0,05. Dengan demikian, dapat disimpulkan bahwa model random forest efektif dalam memprediksi dosis untuk PTV kanker otak dan OAR, dan dapat digunakan sebagai referensi dalam proses perencanaan.
Optimizing radiation doses in clinical planning using a Treatment Planning System (TPS) for radiotherapy patients is crucial to achieving a balance between therapeutic effectiveness and patient safety. However, this process is timeconsuming and highly dependent on the expertise of medical physicists. In this study, dose prediction using machine learning for the Planning Target Volume (PTV) and Organ at Risk (OAR) in brain cancer cases was performed using the Volumetric Modulated Arc Therapy (VMAT) planning technique. DICOM planning data was extracted using 3D Slicer to obtain radiomic and dosiomic values, which were then used in this study with a random forest algorithm model. Model evaluation results showed that the random forest model's performance in predicting doses had a Mean Square Error (MSE) of 0.018. The Homogeneity Index (HI) and Conformity Index (CI) values for clinical data were 0.136±0.134 and 0.939±0.131, respectively, while the predicted results were 0.136±0.039 and 0.949±0.006, with p-values for PTV and OAR features > 0.05. Therefore, it can be concluded that the random forest model is effective in predicting doses for brain cancer PTV and OAR and can be used as a reference in the planning process."
Depok: Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Indonesia, 2024
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Nafisa Imtiyaziffati Rasoma Muliarso
Implementasi Model Backpropagation Neural Network dalam Prediksi Dosis Terapi Kanker Otak dengan Teknik Volumetric Modulated Arc Therapy (VMAT) = Implementation of Backpropagation Neural Network Model for Dose Prediction in Volumetric Modulated Arc Therapy (VMAT) Brain Cancer
"Kualitas perencanaan terapi radiasi sangat bervariasi untuk setiap Fisikawan Medik, bergantung pada pengalaman yang dimilikinya. Proses optimasi dan iterasi yang melibatkan trial-and-error diperlukan untuk mencapai tujuan perencanaan terapi yaitu pemberian dosis optimal ke planning target volume (PTV) dan pemberian dosis serendah mungkin ke organ at risk (OAR), sehingga cukup memakan waktu dan tidak efektif. Penggunaan kecerdasan buatan (AI) dapat mengurangi subjektifitas kualitas perencanaan terapi dan meningkatkan efisiensi waktu yang dibutuhkan. Pada penelitian ini, digunakan model Backpropagation Neural Network dengan 5-fold cross validation untuk melakukan prediksi dosis pada kasus kanker otak dengan menggunakan teknik terapi VMAT. Data perencanaan terapi yang digunakan berupa DICOM CT yang berisi citra CT pasien, DICOM RTStructure yang berisi struktur organ yang telah didelineasi, dan DICOM RTDose yang memiliki informasi terkait sebaran dosis yang diterima oleh organ. Evaluasi dilakukan dengan menggunakan parameter statistik Mean Squared Error (MSE) dan uji-T berpasangan untuk mendapatkan nilai p sehingga dapat diketahui signifikansi perbedaan dosis klinis dan prediksi untuk parameter kualitas perencanaan terapi, yaitu Homogeneity Index (HI) dan Conformity Index (CI). Data hasil yang diperoleh menunjukkan tidak ada perbedaan nilai dosis yang signifikan, dimana nilai p untuk fitur radiomic prediksi yang diperoleh besar dari 0.005. rerata nilai HI dan CI prediksi secara berurutan adalah 0.084±0.036 dan 0.938±0.107. Dapat disimpulkan bahwa model Backpropagation Neural Network memiliki kemampuan untuk melakukan prediksi dosis terapi VMAT untuk kanker otak yang cukup baik jika dibandingkan dengan perencanaan klinis.
The quality of radiation treatment planning varies significantly among medical physicist, depending on their experience. The optimization and iteration process, which involves trial and error, is required to achieve the treatment planning obejctives of delivering optimal dose to the planning target volume (PTV) and the lowest dose possible to the organ at risk (OAR). This process is time-consuming and inefficient. The use of artificial intelligence (AI) can reduce the subjectivity in therapy planning quality and increase the efficinency of the process. In this study, a Backpropagation Neural Network (BPNN) model with 5-fold cross validation was used to predict doses in brain cancer using VMAT therapy technique. The therapy planning data included DICOM CT, which contains patient CT images, DICOM RTStructure, which contains delineated organ structures, and DICOM RTDose, which contains information about the dose distribution received by the organs. Evaluation was performed usign the statistical parameter Mean Squared Error (MSE) and paired t-test to obtain the p-value, thus determining the significance of the differences between clinical and predicted doses for treatment planning qualiry parameteres, namely Homogeneity Index (HI) and Conformity Index (CI). The results showed no significant difference in dose values, with the p-value for the predicted radiomic features being greater thatn 0.005. the mean predicted HI and CI values were 0.084±0.036 and 0.938±0.107, respectively. It can be concluded that the BPNN model has the capability to predict VMAT therapy doses for brain cancer with good accuracy compared to clinical planning. "
Depok: Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Indonesia, 2024
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Farid Prasaja Putera
Pendeteksian tumor otak secara 3d pada citra mri menggunakan k-means clustering, non-local means, thresholding dan marching cube = 3d human brain tumor detection from mri image using k means clustering non local means thresholding and marching cube
"ABSTRAK
Peningkatan kualitas citra medis khususnya untuk bagian kepala manusia terus dikembangkan, termasuk dengan pemodelan 3D. Hal ini dilakukan untuk mengurangi kesalahan dalam proses diagnosa dan memfasilitasi pendeteksian tumor otak dengan pendekatan 3D. Dalam prosesnya, citra MRI otak dianalisa secara 3D sehingga diperoleh bagian tumor otak. Citra MRI dikonversi dari citra berformat MINC. Citra diklasifikasi untuk mendeteksi objek menggunakan K-Means Clustering yang akan memisahkan bagian tumor dan otak. Proses filter dilakukan menggunakan Non-Local Means sehingga noise hasil pengolahan dapat berkurang dari proses sebelumnya. Hasil citra pengolahan disegmentasi untuk meningkatkan dan mendukung proses rekonstruksi menggunakan Thresholding. Terakhir adalah merekonstruksi citra dalam bentuk 3D menggunakan metode Marching Cube. Evaluasi akurasi sistem meliputi pengurangan resolusi, pengujian citra normal, uji perbandingan, penggantian format citra dan penambahan noise. Hasil akurasi pendeteksian tumor otak mencapai 100% untuk format PNG dan resolusi 512x512, 97,7% untuk resolusi 256x256, 96,9% untuk citra normal tanpa tumor dan 97,96% berdasarkan perbandingan data olah dengan data referensi. Format PNG memiliki akurasi dibandingkan format JPEG dengan perbedaan sebesar 4%. Pengujian dengan menambahkan noise menghasilkan akurasi 87,6% untuk densitas 0,01, 83,6% untuk 0,05 dan 74,5% untuk 0,09.
ABSTRACT
Medical image enhancement especially for human brain imageries is rapidly developed, including 3D modeling. This research is aimed to reduce the error of diagnosis process and facilitate brain tumor detection using 3D approach. In the process, 3D brain from MRI imageries is analyzed to detect brain tumors. MRI image is converted from MINC format. Then, the image is classified to detect objects using K-Means Clustering to divide each part of brain. Filtering is performed using Non-Local Means to remove noise from previous processes. The result of imageries are segmented to enhance and support reconstruction process using Thresholding. Finally, 3D image reconstruction is performed using Marching Cube method. The accuracy of brain tumor detection is evaluated of resolution reduction, non tumor image testing, comparison testing, modifying image format, and adding noise. The accuracy rate of brain tumor detection is 100% for PNG format and 512x512 resolution, 97,7% for 256x256 resolution, 96,9% for non tumor image and 97,96% for comparison between ideal image and reference data. PNG format has better accuracy with JPEG by 4% improvement. The accuracy of adding noise is 87,6% for 0,01 density, 83,6% for 0,05 and 74,5% for 0,09."
2016
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UI - Skripsi Membership  Universitas Indonesia Library
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Hamida Fatimah Zahra
Hubungan Diabetes Melitus dengan Tumor Otak: Suatu Systematic Review = The Correlation of Diabetes Mellitus with Brain Tumor: a Systematic Review
"Diabetes melitus dikaitkan dengan peningkatan risiko kejadian berbagai jenis kanker pada banyak studi. Namun demikian, hubungan nya dengan risiko tumor otak masih kontroversial. Beberapa studi menunjukkan adanya korelasi positif, negatif, atau bahkan tidak sama sekali antara keduanya. Tumor otak tidak menyumbang pada sebagian besar kasus kanker, tetapi memiliki tingkat mortalitas yang tinggi dengan rata-rata kelangsungan hidup yang rendah, sementara terapi masih sangat terbatas. Penulisan review ini bertujuan untuk menilai hubungan antara diabetes melitus dengan risiko tumor otak dan kaitannya dengan kelangsungan hidup pasien, serta melihat potensi terapi antidiabetes terhadap tumor otak. Review bersifat sistematik berdasarkan acuan Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) tahun 2009 dan menggunakan pendekatan kualitatif. Pencarian literatur dilakukan pada Oxford Journals, ProQuest, PubMed, ScienceDirect, Scopus, SpringerLink, dan Wiley, serta melalui daftar referensi pada artikel terkait. Hasil pencarian didapatkan delapan artikel yang sesuai dengan kriteria yang ditetapkan. Berdasarkan analisis pada artikel tersebut, perbedaan hubungan antara diabetes melitus dengan tumor otak dapat terjadi akibat sub kelompok yang berbeda, yaitu jenis kelamin, ras, serta jenis studi. Tingginya nilai HbA1c dapat dijadikan prediktor bagi kelangsungan hidup yang lebih rendah. Meskipun hasil ini tidak bersifat independen, kontrol glikemik merupakan salah satu faktor yang perlu diperhatikan pada pasien tumor otak. Terkait hubungannya dengan terapi antidiabetes, metformin menunjukkan adanya potensi sebagai terapi adjuvan bagi pasien tumor otak dikarenakan meningkatkan kelangsungan hidup yang lebih lama pada pasien glioma stadium III dibandingkan dengan insulin dan sulfonilurea, adanya potensi efek antiproliferatif pada sel glioma, dan tidak menyebabkan hipoglikemia."
Depok: Fakultas Farmasi Universitas Indonesia, 2020
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Mutiatul Husni
Prediksi Distribusi Dosis Radiasi Teknik VMAT pada Kanker Otak Menggunakan Model Support Vector Regression (SVR) = Prediction Of Radiation Dose Distribution with VMAT Technique in Brain Cancer Using Support Vector Regression Model (SVR)
"Penelitian ini bertujuan untuk memprediksi dosis radiasi pada kanker otak menggunakan model Support Vector Regression (SVR) dan membandingkan hasilnya dengan dosis radiasi klinis, kemudian menghitung perbedaan dari kedua nilai tersebut. Data yang digunakan merupakan 178 data perencanaan radioterapi yang meliputi file DICOM yang berisi citra CT simulator dan citra kontur CT simulator. Data diekstraksi menggunakan 3D Slicer yang memberikan informasi mengenai data radiomik dan dosiomik pada setiap OAR (mata, saraf optik, lensa mata, dan batang otak) dan PTV. Data dosiomik dinormalisasi terhadap volume PTV dan dosis preskripsi dari masing-masing pasien. Data radiomik dan dosiomik yang telah dinormalisasi akan menjadi input data untuk model SVR. Pada model SVR digunakan kernel radial basis function (RBF) dengan 2 parameter yaitu epsilon dan C. Dalam penelitian ini didapatkan nilai parameter yang optimal dengan menggunakan gridsearch yaitu epsilon = 0,01 dan C = 1, dengan k-fold validasi bernilai 5. Hasil yang didapatkan pada PTV D98% dan HI menunjukkan nilai p value < 0,05 yang artinya terdapat perbedaan yang signifikan antara nilai klinis dengan nilai prediksi SVR. Sedangkan pada nilai CI, OAR, PTV D2%, dan PTV D50% didapatkan nilai p value > 0,05 yang artinya tidak terdapat perbedaan nilai yang signifikan.
This study aims to predict the radiation dose for brain cancer using the SVR model and compare it with the clinical radiation dose, then calculate the difference between the two values. The data used consists of 178 radiotherapy planning datasets, including DICOM files containing CT simulator images and CT simulator contour images. The data is extracted using 3D Slicer, which provides information on radiomic and dosiomic data for each OAR (eyes, optic nerves, lenses, and brainstem) and PTV. The dosiomic data is normalized against the PTV volume and each patient's prescription dose. The normalized radiomic and dosiomic data will serve as input data for the SVR model. The SVR model uses a radial basis function (RBF) kernel with two parameters, epsilon and C. The study found the optimal parameter values using gridsearch, which are epsilon = 0.01 and C = 1, with a k-fold validation value of 5. The results for PTV D98% and HI showed a p value < 0.05, indicating a significant difference between the clinical values and the SVR model predictions. For CI, OAR, PTV D2%, and PTV D50%, the p value was > 0.05, indicating no significant difference between the values."
Depok: Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Indonesia, 2024
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Entin Prakartini
Pengalaman Psikososial dan Spiritual Orang Tua yang Memiliki Anak dengan Tumor Otak = Psychosocial and Spiritual Experiences Parents who have Children with Brain Tumor
"Anak yang terdiagnosis tumor otak menyebabkan orang tua mengalami reaksi psikologi, sosial dan spiritual akibat pengobatan dan perawatan yang panjang dan lama. Penelitian ini bertujuan untuk menggali pengalaman psikososial dan spiritual pada orang tua yang memiliki anak dengan tumor otak. Penelitian kualitatif deskriptif dilakukan terhadap 11 orang tua dari anak-anak penderita tumor otak di sebuah rumah sakit pusat kanker di Jakarta, Indonesia dan dilakukan secara purposive sampling. Data dikumpulkan melalui wawancara semi terstruktur dan dianalisis menggunakan metode Colaizzi dan menghasilkan lima tema yakni 1) beragam respon orang tua saat awal-awal diagnosis; 2) tantangan besar dalam menjalani pengobatan dan perawatan anak; 3) kedekatan dengan Yang Maha Kuasa dan dukungan spiritual; 4) munculnya harapan dan dukungan dari berbagai pihak; 5) keihklasan dan terus berupaya untuk kesembuhan anak. Peran tenaga kesehatan dan khususnya perawat dibutuhkan untuk mengidentifikasikan kebutuhan psikologi, sosial dan spiritual yang dibutuhkan orang tua selama menjalani pengobatan dan perawatan anak dan langkah selanjutnya berkolaborasi dengan semua pihak yang terkait dalam upaya pemenuhan kebutuhan tersebut.  
Children diagnosed with brain tumors causes parents to experience psychological and spiritual reactions due to long and lengthy treatment and care. This research aims to explore the psychosocial and spiritual experiences of parents who hava children with brain tumors. Qualitative descriptive research was conducted on 11 parents of children with brain tumor at a cancer center hospital in Jakarta, Indonesia and carried out purposive sampling. Data was collected through semi-structured interviews and analyzed using Colaizzi method and produced five themes, namely 1) various parental responses at the beginning of the diagnosis; 2) big challenges in undergoing treatment and caring for children; 3) closeness to the Almighty and spiritual support; 4) the emergence of hope and support from various parties; 5) sincerity and continuing efforts for the child’s recovery. The role of health workers and especially nurses is needed to identify the  psychological, social and spiritual needs that parents need while undergoing treatment and child care and the next step is to collaborate with all related parties in effort to meet these needs."
Depok: Fakultas Ilmu Keperawatan Universitas Indonesia, 2024
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