Analisis Perencanaan Radioterapi Kanker Nasofaring Menggunakan PRIMO

Murfid, Khoolish Eldinar (2023) Analisis Perencanaan Radioterapi Kanker Nasofaring Menggunakan PRIMO. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini mempunyai tujuan memodelkan LINAC Varian 2100 pada perangkat lunak PRIMO serta analisis nilai Homogenity Index (HI) dan Conformity Index (CI) dari simulasi Treatment Planning System (TPS). Selain itu, analisis gamma juga dievaluasi untuk membandingkan hasil simulasi antara TPS dari PRIMO dengan TPS referensi. Pada penelitian ini phase-space files (PSF) ditetapkan dengan parameter nominal energy, initial energy, FWHM energy, FWHM focal spot, dan beam divergence secara berturut-turut bernilai 6 MV, 5.9 MeV, 0.03 MeV, 0.1 cm, dan 00. Selain itu, digunakan variasi lapangan dalam melihat kualitas sinar, antara lain: 6×6 cm2, 10×10 cm2, 15×15 cm2, dan 20×202 cm. Pemodelan LINAC Varian 2100 dilanjutkan dengan simulasi TPS dengan kasus kanker nasofaring dari TCIA. Permodelan LINAC pada PRIMO memiliki kesesuaian yang baik, terlihat dari nilai flatness berada dibawah 3% pada luas lapangan 10 × 10 cm2 setiap kedalaman 1,6, 5, dan 10 cm secara berurutan 1,63%, 2,20%, dan 2,80%. Serta nilai symmetry dibawah 2% dengan nilai -0,02%, -0,08%, dan -0,08%. Nilai HI dan CI secara berurutan sebesar 0,2 dan 0,95. Nilai HI mendekati nol yang berarti distribusi dosis yang diterima target memiliki keseragaman. Sedangkan nilai CI yang mendekati satu yang diartikan bahwa distribusi dosis seragam dengan volume target. Hasil analisis gamma antara simulasi TPS PRIMO dengan TPS referensi, mengeluarkan nilai Gamma Passing Rate (GPR) diatas 95% mayoritas untuk setiap volume. Sehingga dapat dinyatakan TPS PRIMO memiliki kesesuaian dengan referensi. Serta mendapatkan nilai Percentage Agreement (PA) belum mencapai ketentuan 99%, paling tinggi nilai PA senilai 98,75%.
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This study aims to model the LINAC Variant 2100 in PRIMO software and to analyze the Homogeneity Index (HI) and Conformity Index (CI) values from the Treatment Planning System (TPS) simulation. In addition, gamma analysis was also evaluated to compare the simulation results between TPS from PRIMO and TPS references. In this study, phase-space files (PSF) were determined with the parameters nominal energy, initial energy, FWHM energy, FWHM focal spot, and beam divergence values of 6 MV, 5.9 MeV, 0.03 MeV, 0.1 cm, and 0, respectively. In addition, field variations were used to see the quality of the light, including 6×6 cm2, 10×10 cm2, 15×15 cm2, and 20×20 cm2. The LINAC Varian 2100 modeling was continued with TPS simulations with cases of nasopharyngeal cancer from TCIA. The LINAC modeling on PRIMO has a good fit, as seen from the flatness value, which is below 3% in a field area of 10 × 10 cm2 at a depth of 1.6, 5, and 10 cm, with values of 1.63%, 2.20%, and 2.80%, respectively. As well as the symmetry value below 2% with values of -0.02%, -0.08%, and -0.08%, respectively. The HI and CI values were respectively 0.2 and 0.95. The HI value is close to zero, meaning the distribution of doses the target receives is uniform. At the same time, the CI value is close to one, which means that the dose distribution is uniform with the target volume. The gamma analysis results between the PRIMO TPS simulation and the reference TPS produce gamma passing rate (GPR) values above 95% for each volume. So, it can be stated that TPS PRIMO conforms with the reference. As well as obtaining a Percentage Agreement (PA) value that has not reached the 99% requirement, the highest PA value is 98.75%.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Nasofaring, Permodelan LINAC, PRIMO, LINAC Modeling, Nasopharinx
Subjects:	Q Science > QC Physics > QC795.5 Radioactivity and radioactive Instruments and apparatus (General) Q Science > QR Microbiology > QR 201.T84 Tumors. Cancer R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis
Depositing User:	Khoolish Eldinar Murfid
Date Deposited:	24 Aug 2023 08:08
Last Modified:	24 Aug 2023 08:08
URI:	http://repository.its.ac.id/id/eprint/102036

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