Impact of Dose Calculation Algorithms and Radiobiological Parameters on Prediction of Cardiopulmonary Complications in Left Breast Radiation Therapy
Background: Breast cancer requires evaluating treatment plans using dosimetric and biological parameters. Considering radiation dose distribution and tissue response, healthcare professionals can optimize treatment plans for better outcomes. Objective: This study aimed to evaluate the effects of the...
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| Format: | Article |
| Language: | English |
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Shiraz University of Medical Sciences
2024-04-01
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| Series: | Journal of Biomedical Physics and Engineering |
| Subjects: | |
| Online Access: | https://jbpe.sums.ac.ir/article_49859_5048e2f7aee5585b1e12bc64a960c29f.pdf |
| _version_ | 1797209498864058368 |
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| author | Niloofar Kargar Ahad Zeinali Mikaeil Molazadeh |
| author_facet | Niloofar Kargar Ahad Zeinali Mikaeil Molazadeh |
| author_sort | Niloofar Kargar |
| collection | DOAJ |
| description | Background: Breast cancer requires evaluating treatment plans using dosimetric and biological parameters. Considering radiation dose distribution and tissue response, healthcare professionals can optimize treatment plans for better outcomes.
Objective: This study aimed to evaluate the effects of the different Dose Calculation Algorithms (DCAs) and Biologically Model-Related Parameters (BMRPs) on the prediction of cardiopulmonary complications due to left breast radiotherapy.
Material and Methods: In this practical study, the treatment plans of 21 female patients were simulated in the Monaco Treatment Planning System (TPS) with a prescribed dose of 50 Gy in 25 fractions. Dose distribution was extracted using the three DCAs [Pencil Beam (PB), Collapsed Cone (CC), and Monte Carlo (MC)]. Cardiopulmonary complications were predicted by Normal Tissue Complication Probability (NTCP) calculations using different dosimetric and biological parameters. The Lyman-Kutcher-Burman (LKB) and Relative-Seriality (RS) models were used to calculate NTCP. The endpoint for NTCP calculation was pneumonitis, pericarditis, and late cardiac mortality. The ANOVA test was used for statistical analysis.
Results: In calculating Tumor Control Probability (TCP), a statistically significant difference was observed between the results of DCAs in the Poisson model. The PB algorithm estimated NTCP as less than others for all Pneumonia BMRPs.
Conclusion: The impact of DCAs and BMRPs differs in the estimation of TCP and NTCP. DCAs have a stronger influence on TCP calculation, providing more effective results. On the other hand, BMRPs are more effective in estimating NTCP. Consequently, parameters for radiobiological indices should be cautiously used s to ensure the appropriate consideration of both DCAs and BMRPs. |
| first_indexed | 2024-04-24T09:55:40Z |
| format | Article |
| id | doaj.art-b89a489a1c434bd3b403cac25baad0fe |
| institution | Directory Open Access Journal |
| issn | 2251-7200 |
| language | English |
| last_indexed | 2024-04-24T09:55:40Z |
| publishDate | 2024-04-01 |
| publisher | Shiraz University of Medical Sciences |
| record_format | Article |
| series | Journal of Biomedical Physics and Engineering |
| spelling | doaj.art-b89a489a1c434bd3b403cac25baad0fe2024-04-14T11:11:41ZengShiraz University of Medical SciencesJournal of Biomedical Physics and Engineering2251-72002024-04-0114212914010.31661/jbpe.v0i0.2305-161649859Impact of Dose Calculation Algorithms and Radiobiological Parameters on Prediction of Cardiopulmonary Complications in Left Breast Radiation TherapyNiloofar Kargar0Ahad Zeinali1Mikaeil Molazadeh2Department of Medical Physics, Faculty of Medicine, Urmia University of Medical Sciences, Urmia, IranDepartment of Medical Physics, Faculty of Medicine, Urmia University of Medical Sciences, Urmia, IranDepartment of Medical Physics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, IranBackground: Breast cancer requires evaluating treatment plans using dosimetric and biological parameters. Considering radiation dose distribution and tissue response, healthcare professionals can optimize treatment plans for better outcomes. Objective: This study aimed to evaluate the effects of the different Dose Calculation Algorithms (DCAs) and Biologically Model-Related Parameters (BMRPs) on the prediction of cardiopulmonary complications due to left breast radiotherapy. Material and Methods: In this practical study, the treatment plans of 21 female patients were simulated in the Monaco Treatment Planning System (TPS) with a prescribed dose of 50 Gy in 25 fractions. Dose distribution was extracted using the three DCAs [Pencil Beam (PB), Collapsed Cone (CC), and Monte Carlo (MC)]. Cardiopulmonary complications were predicted by Normal Tissue Complication Probability (NTCP) calculations using different dosimetric and biological parameters. The Lyman-Kutcher-Burman (LKB) and Relative-Seriality (RS) models were used to calculate NTCP. The endpoint for NTCP calculation was pneumonitis, pericarditis, and late cardiac mortality. The ANOVA test was used for statistical analysis. Results: In calculating Tumor Control Probability (TCP), a statistically significant difference was observed between the results of DCAs in the Poisson model. The PB algorithm estimated NTCP as less than others for all Pneumonia BMRPs. Conclusion: The impact of DCAs and BMRPs differs in the estimation of TCP and NTCP. DCAs have a stronger influence on TCP calculation, providing more effective results. On the other hand, BMRPs are more effective in estimating NTCP. Consequently, parameters for radiobiological indices should be cautiously used s to ensure the appropriate consideration of both DCAs and BMRPs.https://jbpe.sums.ac.ir/article_49859_5048e2f7aee5585b1e12bc64a960c29f.pdfbreast neoplasmsradiotherapytumor control probabilitynormal tissue complications probabilitydose calculation algorithmmodels, biological |
| spellingShingle | Niloofar Kargar Ahad Zeinali Mikaeil Molazadeh Impact of Dose Calculation Algorithms and Radiobiological Parameters on Prediction of Cardiopulmonary Complications in Left Breast Radiation Therapy Journal of Biomedical Physics and Engineering breast neoplasms radiotherapy tumor control probability normal tissue complications probability dose calculation algorithm models, biological |
| title | Impact of Dose Calculation Algorithms and Radiobiological Parameters on Prediction of Cardiopulmonary Complications in Left Breast Radiation Therapy |
| title_full | Impact of Dose Calculation Algorithms and Radiobiological Parameters on Prediction of Cardiopulmonary Complications in Left Breast Radiation Therapy |
| title_fullStr | Impact of Dose Calculation Algorithms and Radiobiological Parameters on Prediction of Cardiopulmonary Complications in Left Breast Radiation Therapy |
| title_full_unstemmed | Impact of Dose Calculation Algorithms and Radiobiological Parameters on Prediction of Cardiopulmonary Complications in Left Breast Radiation Therapy |
| title_short | Impact of Dose Calculation Algorithms and Radiobiological Parameters on Prediction of Cardiopulmonary Complications in Left Breast Radiation Therapy |
| title_sort | impact of dose calculation algorithms and radiobiological parameters on prediction of cardiopulmonary complications in left breast radiation therapy |
| topic | breast neoplasms radiotherapy tumor control probability normal tissue complications probability dose calculation algorithm models, biological |
| url | https://jbpe.sums.ac.ir/article_49859_5048e2f7aee5585b1e12bc64a960c29f.pdf |
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