{"title":"基于孔径的复杂性指标分析及其对调强放疗计划中患者特异性质量保证的影响。","authors":"Dinesh Kumar Saroj, Suresh Yadav, Neetu Paliwal, Ravindra Bhagwat Shende, Gaurav Gupta","doi":"10.4103/jmp.jmp_195_24","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Identifying plans at risk of patient-specific quality assurance (PSQA) failure through complexity metrics can reduce the workload while maintaining quality. This study evaluates complexity metrics as predictors of PSQA outcomes.</p><p><strong>Materials and methods: </strong>A retrospective analysis was conducted on 192 IMRT plans for head-and-neck cancer. Complexity metrics were calculated using an in-house Python program. PSQA was performed with 3%/2-mm gamma passing rate (GPR) criteria, with plans classified as \"Pass\" (GPR ≥95%) or \"Fail.\" Statistical analyses, including Spearman's correlation and receiver operating characteristic analysis, assessed the metrics' predictive value.</p><p><strong>Results: </strong>Passing plans had an average GPR of 98.64 ± 1.33%, compared to 92.17 ± 2.35% for failing plans. The mean small area segment (MSAS) 5mm metric, with a threshold of 0.085, achieved a true positive rate of 38.17% and a false positive rate of 3.1%. Beam modulation and beam area indices also significantly differed between passing and failing plans.</p><p><strong>Conclusion: </strong>MSAS5 and edge metrics showed strong potential for identifying high-risk plans. These metrics can guide targeted PSQA, improving workflow efficiency without compromising treatment safety.</p>","PeriodicalId":51719,"journal":{"name":"Journal of Medical Physics","volume":"50 1","pages":"46-54"},"PeriodicalIF":0.7000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12005648/pdf/","citationCount":"0","resultStr":"{\"title\":\"Analysis of Aperture-based Complexity Metrics and Their Effect on Patient-specific Quality Assurance in Intensity-modulated Radiation Therapy Planning.\",\"authors\":\"Dinesh Kumar Saroj, Suresh Yadav, Neetu Paliwal, Ravindra Bhagwat Shende, Gaurav Gupta\",\"doi\":\"10.4103/jmp.jmp_195_24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Identifying plans at risk of patient-specific quality assurance (PSQA) failure through complexity metrics can reduce the workload while maintaining quality. This study evaluates complexity metrics as predictors of PSQA outcomes.</p><p><strong>Materials and methods: </strong>A retrospective analysis was conducted on 192 IMRT plans for head-and-neck cancer. Complexity metrics were calculated using an in-house Python program. PSQA was performed with 3%/2-mm gamma passing rate (GPR) criteria, with plans classified as \\\"Pass\\\" (GPR ≥95%) or \\\"Fail.\\\" Statistical analyses, including Spearman's correlation and receiver operating characteristic analysis, assessed the metrics' predictive value.</p><p><strong>Results: </strong>Passing plans had an average GPR of 98.64 ± 1.33%, compared to 92.17 ± 2.35% for failing plans. The mean small area segment (MSAS) 5mm metric, with a threshold of 0.085, achieved a true positive rate of 38.17% and a false positive rate of 3.1%. Beam modulation and beam area indices also significantly differed between passing and failing plans.</p><p><strong>Conclusion: </strong>MSAS5 and edge metrics showed strong potential for identifying high-risk plans. These metrics can guide targeted PSQA, improving workflow efficiency without compromising treatment safety.</p>\",\"PeriodicalId\":51719,\"journal\":{\"name\":\"Journal of Medical Physics\",\"volume\":\"50 1\",\"pages\":\"46-54\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12005648/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Medical Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/jmp.jmp_195_24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/24 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/jmp.jmp_195_24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/24 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Analysis of Aperture-based Complexity Metrics and Their Effect on Patient-specific Quality Assurance in Intensity-modulated Radiation Therapy Planning.
Background: Identifying plans at risk of patient-specific quality assurance (PSQA) failure through complexity metrics can reduce the workload while maintaining quality. This study evaluates complexity metrics as predictors of PSQA outcomes.
Materials and methods: A retrospective analysis was conducted on 192 IMRT plans for head-and-neck cancer. Complexity metrics were calculated using an in-house Python program. PSQA was performed with 3%/2-mm gamma passing rate (GPR) criteria, with plans classified as "Pass" (GPR ≥95%) or "Fail." Statistical analyses, including Spearman's correlation and receiver operating characteristic analysis, assessed the metrics' predictive value.
Results: Passing plans had an average GPR of 98.64 ± 1.33%, compared to 92.17 ± 2.35% for failing plans. The mean small area segment (MSAS) 5mm metric, with a threshold of 0.085, achieved a true positive rate of 38.17% and a false positive rate of 3.1%. Beam modulation and beam area indices also significantly differed between passing and failing plans.
Conclusion: MSAS5 and edge metrics showed strong potential for identifying high-risk plans. These metrics can guide targeted PSQA, improving workflow efficiency without compromising treatment safety.
期刊介绍:
JOURNAL OF MEDICAL PHYSICS is the official journal of Association of Medical Physicists of India (AMPI). The association has been bringing out a quarterly publication since 1976. Till the end of 1993, it was known as Medical Physics Bulletin, which then became Journal of Medical Physics. The main objective of the Journal is to serve as a vehicle of communication to highlight all aspects of the practice of medical radiation physics. The areas covered include all aspects of the application of radiation physics to biological sciences, radiotherapy, radiodiagnosis, nuclear medicine, dosimetry and radiation protection. Papers / manuscripts dealing with the aspects of physics related to cancer therapy / radiobiology also fall within the scope of the journal.