Hasil Pencarian  ::  Simpan CSV :: Kembali

"[ABSTRAKRontgen dada atau Chest X-Ray (CXR) merupakan salah satu aplikasi pencitraan medis yang paling sering digunakan dalam pendeteksian kelainan khususnya tumor pada paru – paru. Untuk menentukan diagnosis kelainan tersebut, seorang dokter masih mengandalkan pengamatan visual dalam pembacaan hasil citra CXR sehingga penilaian bersifat subyektif tergantung pada masing – masing dokter. Oleh karena itu, pada penelitian ini dilakukan perancangan sistem pengolahan citra sebagai alat bantu identifikasi kelainan paru – paru. Kategori citra CXR yang digunakan adalah citra pada keadaan normal, tumor, dan kelainan bukan tumor. Tahapan pengolahan yang dilakukan berupa pre-processing menggunakan median filtering dan ekualisasi histogram serta proses segmentasi menggunakan otsu’s thresholding dan active contour : snake. Uji hasil pengolahan citra dengan hasil diagnosis dokter menggunakan jaringan syaraf tiruan backpropagation menghasilkan akurasi sebesar 92,85 %.

---

ABSTRACTChest X-Ray (CXR) is a medical imaging applications that most commonly used for detects of abnormalities, especially tumors of the lung. To determine the abnormality diagnosis, doctors still rely on visual observations to read a CXR image, so that the assessments are subjective depending on each doctor. This study purposes to design an image processing system as a tool for identification of lung’s abnormalities. It used three classification of CXR image, which are lungs image in normal circumstances, tumors, and abnormalities besides tumor. Stages of image processing are done in the form of pre-processing using a median filtering and histogram equalization and also the process of segmentation using Otsu's thresholding and active contour: snake. Test the image processing results with the results of the doctor's diagnosis using artificial neural network backpropagation produces an accuracy of 92,85 %., Chest X-Ray (CXR) is a medical imaging applications that most commonly used for detects of abnormalities, especially tumors of the lung. To determine the abnormality diagnosis, doctors still rely on visual observations to read a CXR image, so that the assessments are subjective depending on each doctor. This study purposes to design an image processing system as a tool for identification of lung’s abnormalities. It used three classification of CXR image, which are lungs image in normal circumstances, tumors, and abnormalities besides tumor. Stages of image processing are done in the form of pre-processing using a median filtering and histogram equalization and also the process of segmentation using Otsu's thresholding and active contour: snake. Test the image processing results with the results of the doctor's diagnosis using artificial neural network backpropagation produces an accuracy of 92,85 %.]"

"Praktek Kerja Profesi Apoteker (PKPA) di rumah sakit bertujuan untuk memahami peran dan tanggung jawab Apoteker di rumah sakit, baik dalam hal pelayanan farmasi klinis maupun pengelolaan sediaan farmasi. Pemantauan terapi obat (PTO) adalah salah satu kegiatan farmasi klinik oleh Apoteker di rumah sakit untuk mengetahui keberhasilan ataupun kegagalan terapi obat. Berdasarkan hal tersebut, PTO dipilih sebagai tugas khusus PKPA di RSUP Fatmawati. Kegiatan ini dilakukan degan tujuan calon Apoteker dapat mengkaji pemilihan obat, dosis dan cara pemberian obat, respons terapi, reaksi obat yang tidak dikehendaki (ROTD), memantau efektivitas dan efek samping obat, dan memberikan rekomendasi penyelesaian masalah terkait obat atau DRP. Pemantauan obat dilakukan pada pasien dyspnea et causa suspek tumor paru dengan riwayat tuberkulosis di unit rawat inap gedung Teratai RSUP Fatmawati. PTO dilaksanakan dengan menganalisis DRP sesuai pedoman PCNE V9.0 dengan metode SOAP. Pada kasus ini, ditemukan beberapa DRP yang perlu dievaluasi kembali.

---

Pharmacist Professional Work Practice (PKPA) in hospitals aims to understand the roles and responsibilities of pharmacists in hospitals, both in terms of clinical pharmacy services and management of pharmaceutical preparations. Therapy drug monitoring (TDM) is one of the clinical pharmacy activities by pharmacists in hospitals to determine the success or failure of drug therapy. Based on this, TDM was chosen as a PKPA special assignment at Fatmawati Hospital. This activity is carried out with the aim that prospective pharmacists can review drug selection, dosage and method of drug administration, therapeutic response, unwanted drug reactions, monitor drug effectiveness and side effects, and provide recommendations for solving drug-related problems or DRP. Drug monitoring was carried out in patients with dyspnea et causa suspected lung tumors with a history of tuberculosis in the inpatient unit of the Teratai building at Fatmawati General Hospital. TDM is carried out by analyzing the DRP according to PCNE V9.0 guidelines using the SOAP method. In this case, several DRPs were found that needed to be re-evaluated."

"Penelitian ini bertujuan memeriksa efek dosimetris dari pergerakan tumor untuk beberapa variasi besar ampiltudo pergerakan. Penelitian ini menggunakan fantom dinamik toraks yang dibangun berdasarkan CIRS Dynamic Thorax Phantom model 008A. Fantom ini mensimulasikan pergerakan secara translasi pada arah Superior dan Inferior (SI) serta rotasi pada bidang Lateral kanan-kiri (RL) dan Anterior Posterior (AP) untuk menirukan pergerakan akibat pernafasan manusia. Fantom ini didesain dan dikontrol menggunakan  linear actuator, servo motor, Adafruit motor shield L293D dan Arduino UNO R3. Fantom ini digunaan untuk mengevaluasi dosis titik menggunakan teknik 3D-CRT, IMRT, VMAT dan amplitudo translasi 5 mm; 10 mm; 15 mm  dengan amplitudo rotasi 90°. Pengukuran dosis titik menggunakan dosimeter film GafChromic EBT 3 dan thermoluminescence TLD LiF-100. Fantom toraks dinamik yang dibuat dapat meniru pergerakan translasi dengan amplitudo 5±0,2 mm; 10±0,5 mm; 15±0,4 mm dan pergerakan rotasi dengan amplitudo 89°±2°. Dari penelitian ini didapatkan penggunaan Internal Margin sebesar 5 mm mampu memberikan kompensasi deviasi dosis berkisar antara 0,6% sampai dengan 1%, penurunan dosis terbesar adalah pada arah Superior dan Inferior, gerak rotasi target tumor berpengaruh pada peningkatan deviasi dosis pada lateral kanan dan kiri akibat pebedaan kedalaman serta Teknik VMAT tidak disarankan untuk target bergerak karena memberikan deviasi terbesar yaitu berkisar pada -5% sampai dengan 9% akibat dari derajat kebebasan pergerakan antara gantry dan target semakin tinggi.

---

This study aimed to investigate dosimetric effect of target movement for several translational amplitude. This work used in-house dynamic thorax phantom based on CIRS Dynamic Thorax Phantom model 008A. This phantom simulated translation in superior-inferior direction, rotational in the anterior-posterior and left-right lateral plane to mimic human respiratory motion. It was designed and controlled by linear actuator motor, servo motor, Adafruit motor shield L293D and Arduino UNO R3. It was implemented to evaluate point dose of 3D-CRT, IMRT, VMAT technique and for 5 mm; 10 mm; 15 mm translational motion amplitude 90° rotational target motion amplitude. The point dose measurement used GafChromic EBT 3 film and TLD LiF-100 as dosimeter. This in-house dynamic thorax phantom can mimicking NSCLC target movement for translational amplitude 5±0,2 mm; 10±0,5 mm; 15±0,4 mm and rotational amplitude 89°±2° From this study it found that the use of Internal Margin of 5 mm was able to compensate dose deviation about 0.6% to 1%, the largest decrease in dosage was in the Superior and Inferior direction, the rotational motion of the target tumor had an effect on increasing dose deviation on the right and left lateral due to the difference in depth and VMAT Technique it is not recommended for moving targets because it provides the largest deviation which ranges from -5% to 9% due to the higher degree of freedom of movement between the gantry and the target."