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All Journal Journal of Medical Physics and Biophysics Indonesian Journal of Physics and Nuclear Applications
Alexander Agung
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Environmental Science Medicine & Pharmacology Physics

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Calculation of Absorbed Dose Distribution for Breast Brachytherapy Simulation By CS-1 131Cs Seed and ADVANTAGETM 103Pd Seed Using Monte Carlo N Particle Extended Simulator Faisal Reza Rahmat; Mondjo Mondjo; Alexander Agung
Indonesian Journal of Physics and Nuclear Applications Vol 2 No 2 (2017)
Publisher : Fakultas Sains dan Matematika Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (545.152 KB) | DOI: 10.24246/ijpna.v2i2.65-74

Abstract

Simulation using Monte Carlo code has been conducted to determine the distribution of absorbed dose to the breast brachytherapy with 131Cs and 103Pd radionuclide sources. Simulations performed on stage I breast cancer with cancer diameter is 2 cm. Sources of radionuclides simulated in the form of seed is modeled with CS-1 which is made by IsoRay 131Cs and seed ADVANTAGETM103Pd which is made by IsoAID, LLC. Seed was planted in breast cancer cells. Calculation of absorbed dose distribution was performed by varying the distance from the seed. Variations of the distance started from a radius of 0.3 cm to 2 cm with a range of 0.1 cm respectively. In this simulation will also be reviewed the value of absorbed dose for healthy cell like breast, sternum, and lung. The relation between the absorbed dose and the distance from the seed can be described in the form of power law. The results of the calculation show that the maximum absorbed dose is in the target site of the cancer cells (5.791 ± 0.002) Gy per 5 MBq of 131Cs and (2.755 ± 0.009) Gy per 5 MBq for 103Pd. The absorbed dose at sternum (1.514 ± 0.011) x 10-4 Gy per 5 MBq of 131Cs and (7.515 ± 0.633) x 10-7 Gy per 5 MBq for 103Pd. While the absorbed dose in the lungs is and (3.615 ± 0.082) x 10-5 Gy per 5 MBq for 131Cs and (3.972 ± 0.591) x 10-8 Gy per 5 MBq for 103Pd.
Designing an analysis system for imaging process from bone scintigraphy as a potential predictor for validation of bone metastases Herlina Zainal; Hanif Afkari; Alexander Agung; Gani Gunawan
Journal of Medical Physics and Biophysics Vol 8, No 1 (2021)
Publisher : Indonesian Association of Physicists in Medicine (AIPM/AFISMI)

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Abstract

Cancer is a disease that is the leading cause of death worldwide. In 2012, there were 8.2 million deaths caused by cancer. Cancer suffered by patients can metastasize to other body parts, such as the lungs, liver, brain, and bones. The risk of bone metastases becomes higher after cancer has spread to other body tissues, so it is necessary to do more specific bone examinations. Bone scintigraphy is one of the applications from nuclear medicine that utilizes 99mTc radioactive material as a radio-pharmaceutical for bone scanning examinations. Bone scintigraphy is done to determine the presence of metastases in the bone caused by cancer. This bone scan is an image capture method with high sensitivity but has the disadvantage of not clearly distinguishing the presence of hotspots that appear due to metastases, trauma, or other abnormalities in the bones. This research aims to create an analysis system design based on image processing scripts using MATLAB. Medical physicists and nuclear medicine technicians can later use this system to conduct quantitative analysis as a reliable predictor system that validates visual analysis of hotspots suspected of being metastasis of cancer. Based on the result, prediction of the presence of bone metastasis by quantitative analysis using digital image processing techniques can be made. With a significance level of 5%, a prediction results using the analysis system design are compatible with the results of the diagnosis obtained from the medical record data of the patient of (85.67% ± 12.71%).
Co-Authors Faisal Reza Rahmat Gani Gunawan Hanif Afkari Herlina Zainal Mondjo Mondjo