Radiation dose is the basis used to optimize lung cancer treatment, requiring the right and accurate amount. One of the steps used in optimizing treatment is radiotherapy treatment planning, which aims to maximize the dose targeted at tumor cells and minimize the dose to healthy organs. This study aims to evaluate the fulfillment of total dose standards for healthy organs and the homogeneity of dose distribution using the 3D slicer-Slicer RT software. The method used in this study used two CT data and RT-Structures of NSCLC-Radiomics with a diagnosis of stage IIIB squamous cell carcinoma from The Cancer Imaging Archive (TCIA), the exact location of cancer, and only one nodule. Network density values are calculated using segment statistics on 3D Slicer based on CT-DICOM information. Meanwhile, the treatment plan was built using 3D Slicer-SlicerRT with a 60 Gy/30 fraction dose. The treatment design uses four planes, and optimization combines the gantry angle and beams weight. The results showed that the treatment planning system using 3D Slicer-SlicerRT met the total dose standard for healthy organs and had a homogeneity index for the first and second patient was 0.004 and 0.009, respectively.
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16 August 2023
THE 11TH INTERNATIONAL CONFERENCE ON THEORETICAL AND APPLIED PHYSICS: The Spirit of Research and Collaboration Facing the COVID-19 Pandemic
27–28 October 2021
Surabaya, Indonesia
Research Article|
August 16 2023
Homogeneity index analysis in patients with lung cancer squamous cell carcinoma IIIB using SlicerRT Available to Purchase
Ajeng Hefdea;
Ajeng Hefdea
Laboratory of Medical Physics and Biophysics, Department of Physics, Institut Teknologi Sepuluh Nopember
, Kampus ITS Sukolilo – Surabaya 60111, East Java, Indonesia
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Fithrotun Nisa’;
Fithrotun Nisa’
Laboratory of Medical Physics and Biophysics, Department of Physics, Institut Teknologi Sepuluh Nopember
, Kampus ITS Sukolilo – Surabaya 60111, East Java, Indonesia
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Retno Kurniya;
Retno Kurniya
Laboratory of Medical Physics and Biophysics, Department of Physics, Institut Teknologi Sepuluh Nopember
, Kampus ITS Sukolilo – Surabaya 60111, East Java, Indonesia
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Rizki Amaliya;
Rizki Amaliya
Laboratory of Medical Physics and Biophysics, Department of Physics, Institut Teknologi Sepuluh Nopember
, Kampus ITS Sukolilo – Surabaya 60111, East Java, Indonesia
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Fathul Jannah;
Fathul Jannah
Laboratory of Medical Physics and Biophysics, Department of Physics, Institut Teknologi Sepuluh Nopember
, Kampus ITS Sukolilo – Surabaya 60111, East Java, Indonesia
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Isfina Uniatunada;
Isfina Uniatunada
Laboratory of Medical Physics and Biophysics, Department of Physics, Institut Teknologi Sepuluh Nopember
, Kampus ITS Sukolilo – Surabaya 60111, East Java, Indonesia
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Fakhrusy Rizqy Ramadhan;
Fakhrusy Rizqy Ramadhan
Laboratory of Medical Physics and Biophysics, Department of Physics, Institut Teknologi Sepuluh Nopember
, Kampus ITS Sukolilo – Surabaya 60111, East Java, Indonesia
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Aditya Prayugo Hariyanto;
Aditya Prayugo Hariyanto
Laboratory of Medical Physics and Biophysics, Department of Physics, Institut Teknologi Sepuluh Nopember
, Kampus ITS Sukolilo – Surabaya 60111, East Java, Indonesia
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Endarko
Endarko
a)
Laboratory of Medical Physics and Biophysics, Department of Physics, Institut Teknologi Sepuluh Nopember
, Kampus ITS Sukolilo – Surabaya 60111, East Java, Indonesia
a)Corresponding author: [email protected]
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Ajeng Hefdea
Fithrotun Nisa’
Retno Kurniya
Rizki Amaliya
Fathul Jannah
Isfina Uniatunada
Fakhrusy Rizqy Ramadhan
Aditya Prayugo Hariyanto
Endarko
a)
Laboratory of Medical Physics and Biophysics, Department of Physics, Institut Teknologi Sepuluh Nopember
, Kampus ITS Sukolilo – Surabaya 60111, East Java, Indonesia
a)Corresponding author: [email protected]
AIP Conf. Proc. 2858, 070001 (2023)
Citation
Ajeng Hefdea, Fithrotun Nisa’, Retno Kurniya, Rizki Amaliya, Fathul Jannah, Isfina Uniatunada, Fakhrusy Rizqy Ramadhan, Aditya Prayugo Hariyanto, Endarko; Homogeneity index analysis in patients with lung cancer squamous cell carcinoma IIIB using SlicerRT. AIP Conf. Proc. 16 August 2023; 2858 (1): 070001. https://doi.org/10.1063/5.0162467
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