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"Analisis praktik residensi keperawatan medikal bedah merupakan karya ilmiah akhir Ners Spesialis. Bertujuan untuk memberikan gambaran secara umum proses pelaksanaan praktik residensi keperawatan medikal bedah yang dilaksanakan dalam dua semester. Analisis ini terdiri dari kasus kelolaan utama pada gangguan sistem neurologi dengan kasus astrositoma dan 30 kasus resum menggunakan pendekatan model adaptasi Roy, penerapan evidence based nursing (EBN) dan proyek inovasi. pada kasus kelolaan masalah masalah ketidakefektifan perfusi cerebral teratasi dan pada 30 kasus resum diagnosa terbanyak yaitu risiko jatuh dan ketidakefektifan perfusi cerebral. untuk peneraan evidence based nursing tentang Tongue stretching exercises (TSE) pada pasien stroke dengan gangguan menelan dan terbukti dapat meningkatan gerakan lidah dalam proses menelan. Untuk proyek inovasi melakukan tatalaksana perawatan pasca stroke terkini. Banyak manfaat yang didapatkan selama proses praktik residensi diantaranya melatihan berpikir kritis dalam mengelola kasus sulit, melatih keterampilan praktik, dan menerapkan intervensi berdasarkan bukti ilmiah. Diharapkan bagi bagi perawat untuk memberikan intervensi keperawatan berdasarkan bukti ilmiah dan selalu berlatih dalam berpikir kritis agar memiliki tingkat sensitifitas dalam melihat fenomena masalah pada pasien.

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Analysis of practice medical surgical nursing residency is the final scientific work of Specialist Nursing. The aim is to provide an overview of the process of implementing medical surgical nursing residency practices that got in two semesters. This analysis consists of cases of major management in neurological system disorders with astrocytoma cases and 30 cases of rums using Roy's adaptation model approach, application of evidence based nursing (EBN) and innovation projects. The case of managed cerebral perfusion problems the problem is managed and in 30 cases the most common diagnoses are the risk of falls and the ineffectiveness of cerebral perfusion. For evidence based nursing information about Tongue stretching exercises (TSE) in stroke patients with swallowing disorders and is proven to increase tongue movement in the swallowing process. Innovation projects carry out the latest post-stroke care management. Many benefits got during the residency practice process include training critical thinking in managing difficult cases, practicing practical skills, and implementing interventions based on scientific evidence. Hope is expected for nurses to provide nursing interventions based on scientific evidence and always practice critical thinking in order to have a sensitivity level in seeing the phenomenon of problems in patients."

"The most recent developments in diagnostic and therapeutic aspects of gliomas (glioblastoma) in the brain are presented. The importance of personalized medicine and clinical validation for targeted therapy are discussed. The identification of various types of biomarkers (determined by molecular genetics) is included, along with their advantages and limitations as markers in tumor detection and diagnosis. The identification and validation of brain cancer (glioblastoma) genes are discussed. The role of cancer stem cells in the initiation and persistence of malignant gliomas is explained, response of glioblastoma cancer stem cells to various growth factors, such as epidermal growth factor receptor kinase inhibitor, is explained. The use of surgical resection, chemotherapy (e.g., temozolomide), immunotherapy, and radiation therapy for glioblastoma patients is included. Biological impediments for chemotherapy and radiotherapy for malignant glioblastoma are pointed out. Standard (established) as well as newer imaging modalities (proton magnetic resonance spectroscopy) are discussed. Also included are proton magnetic resonance spectroscopy in intracranial gliomas, and the use of proton magnetic spectroscopic imaging in determining the infiltration zone in gliomas. The role of molecular signaling in the CNS cancer development is explained, including cell death signaling in glioblastoma multiforme."

"Magnetic Resonance Spectroscopy (MRS) membantu ahli radiologi untuk mengetahui tingkat keganasan dari kanker otak (astrocytoma). Dalam tugas akhir ini akan dibahas proses klasifikasi terhadap data hasil MRS untuk mengetahui tingkat keganasan dari astrocytoma yang terdiri dari Tingkat rendah (Low Grade), Tingkat tinggi (High Grade), dan Normal. Data yang digunakan dalam tugas akhir ini berasal dari RSU Pusat Nasional Dr. Cipto Mangunkusumo, Jakarta. Metode yang digunakan untuk klasifikasi adalah metode Independent Component Analysis dan metode Possibilistic C-Means. Hasil percobaan yang dilakukan menunjukkan bahwa metode Independent Component Analysis mempunyai nilai akurasi 96,67% sementara nilai akurasi dari metode Possibilistic C-Means mencapai 90,91%. Dalam tugas akhir ini, akan dibuat sebuah perangkat lunak untuk pendukung keputusan yang membantu memberikan informasi mengenai tingkat keganasan dari astrocytoma.......Magnetic Resonance Spectroscopy (MRS) helps radiologists to determine the level of malignancy of brain cancer (astrocytoma). In this final project, we will discuss the classification process of MRS data to determine the level of malignancy of astrocytoma consisting of low grade, high grade, and normal. The data used in this final project comes from the National Central Hospital Dr. Cipto Mangunkusumo, Jakarta. The methods used for classification are the Independent Component Analysis method and the Possibilistic C-Means method. The experimental results show that the Independent Component Analysis method has an accuracy value of 96.67% while the accuracy value of the Possibilistic C-Means method reaches 90.91%. In this final project, a decision support software will be made to help provide information about the level of malignancy of astrocytoma."

"Dari pemeriksaan MRI, diperoleh gambar jaringan otak, yang akan digunakan oleh proton MRS untuk menentukan konsentrasi metabolit otak pada jaringan yang didiagnosa astrocytoma, seperti metabolit NAA, choline, creatine, Lipid, Lactate, Myoinositol, dan Glutamine-glutamate. Dari hasil MRS ini, astrocytoma dapat diklasifikasi berdasarkan derajat keganasannya (grade), yaitu high grade dan low grade. Proses klasifikasi astrocytoma, biasa dilakukan secara manual oleh ahli patologi atau secara statistik. Dalam skripsi ini, akan dibahas proses klasifikasi astrocytoma menjadi tiga kelas derajat keganasan dengan menggunakan metode Principal Component Analysis (PCA) dan Spherical K-Means terhadap data MRS. Algoritma Spherical K-Means merupakan algoritma K- Means dengan cosine similarity. Sedangkan PCA merupakan teknik yang digunakan untuk mencari vektor-vektor basis subruang tiap kelas (grade). Vektor-vektor basis ini akan membangun Principal Component yang akan digunakan dalam pengidentifikasian grade suatu data MRS. Data yang digunakan dalam skripsi ini adalah data yang berasal dari laboratorium radiologi Rumah Sakit Cipto Mangunkusumo (RSCM), Jakarta. Hasil penelitian yang dilakukan pada skripsi ini, diketahui bahwa PCA dapat mengklasifikasi astrocytoma dengan akurasi tertinggi, yaitu 85%. Selain itu, dari penelitian ini dihasilkan perangkat lunak yang dapat digunakan untuk membantu pengambilan keputusan yang terkait dengan klasifikasi astrocytoma menjadi high grade, low grade, dan normal.......MRI gives information in form of brain tissue image, which will be used by MRS proton to determine the concentration of brain metabolites on the astrocytoma diagnosed tissue, such as NAA, choline (Cho), creatine (Cr), Lipid (Lip), Lactate (Lac), Myoinositol (MI), and Glutamine-glutamate (Glx). From that result, astrocytoma could be classified to high grade and low grade. This classifying could be processed manually by pathologist, or be processed statistically. On this essay, astrocytoma would be classified into three class of astrocytoma grades with the Principal Component Analysis (PCA) and Spherical K-Means of the MRS data. Spherical K-Means algorithm is a K-Means algorithm with cosine similarity. At the same time, PCA is a technique which used to find the basis vectors of each class (grade) subspace. These basis vectors would build Principal Component which would be used in identifying a grade of a MRS data. The data used in this essay is resourced from radiology laboratory of Rumah Sakit Cipto Mangunkusumo (RSCM), Jakarta. From this research, note that PCA can classify astrocytoma with the highest accuracy, ie 85%. In addition, this research produce software that can be used to assist decision making related to the classification of astrocytoma to high grade, low grade, and normal"

"Now, the eighth in the set returns to the topic of brain tumors, dealing with seven distinct types, astrocytoma, medulloblastoma, retinoblastoma, chordoma, craniopharyngioma, oligodendroglioma, and ependymoma. After updating the classification of medulloblastoma the volume provides an overview of ependymoma as well as describing the delineation of prognosis based on the genetic aberrations of the latter patients. The material offers key insights into the molecular pathways involved in tumor biology, such as the role of E-cadherin gene instability, carbonic anhydrase II, urokinase plasminogen activator, and Wnt signaling in meningioma. Contributors explain the genetic and clinical features associated with recurring meningioma, including the role played by erythropoietin receptor, and examine the way in which OTX2 transcription factor functions as an oncogene in medulloblastoma."