Developing a web‐based dashboard for adaptive radiotherapy workflows
Year: 2026
Type: article
Abstract: Purpose Adaptive radiotherapy (ART) is limited by the absence of reliable thresholds to trigger necessary plan adaptation. This work develops and verifies a web‐based, database‐backed dashboard that unifies geometric, dosimetric, and radiobiological metrics to support day‐to‐day ART decisions. Methods Ten retrospectively selected patients were analyzed (Head and Neck (H&N), n = 5, 30–35 fx; prostate MR‐linac, n = 5, 5 fx). Daily dose was recalculated on CBCT‐derived pseudo‐CTs (pCT) (H&N) or on daily MR images (prostate). A Python/Dash dashboard with a PostgreSQL backend takes in RTStruct/RTDose, then performs structure name harmonization, computes per‐fraction DVHs, and derives five radar‐chart metrics: organ central point displacement, interfraction Dice (reported as 1–Dice), intrafraction Dice (OAR–PTV overlap vs reference), objective score (deviation from plan objectives), and a radiobiology score using TCP/NTCP to calculate PI, PB , and P +. Residuals, defined as the difference between the reference metric (MIM) and the corresponding dashboard calculated value (MIM—Dashboard), were calculated to assess agreement. Calculations were verified against MIM Maestro using residual plots, paired t ‐tests ( α = 0.05), and effect sizes. Results Central point residuals were negligible (mean < 0.05 mm on all axes; max 0.45 mm). Interfraction Dice mean absolute difference was 0.08 (max 0.83); intrafraction Dice differences were smaller (overall mean residual −0.01). For score card dose endpoints, the largest mean difference was at D99.9% (1.31 Gy; 2.08%—below TG‐114′s 5% action level). Percent‐volume endpoints showed small residuals (overall mean +0.32%); absolute‐volume endpoints were near zero (overall mean +0.05 cm 3 ). Radiobiology residuals were modest (mean: PI +1.78%, P + −1.11%, PB +0.86%) with occasional outliers (max PI 8.69%). Three metrics reached statistical significance (central point, intra‐/inter‐fraction Dice), but effect sizes were negligible to small. Conclusions The dashboard reproduces geometric, DVH, objective, and radiobiology metrics within acceptable limits relative to MIM, providing a credible foundation for ART decision support. Limitations include the projected DVH being a visualization (not dose accumulation) and radiobiology sensitivity to DVH sampling in steep gradients.
DOI: 10.1002/acm2.70546
Language: English
Subfield: Radiation
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $900
Funders: Simons Foundation, American Lung Association, Water Research Foundation, National Geographic Society, Triangle Community Foundation, Natural Science Foundation of Shanghai, Takeda Science Foundation, Helsingin Yliopisto, Uehara Memorial Foundation, Japan Agency for Medical Research and Development, Wellcome Trust, Minnesota Environment and Natural Resources Trust Fund, Ministerio de Ciencia, Innovación y Universidades, Nature Conservancy, GHR Foundation, Chongqing Municipal Health Commission, Health Service Executive, Türkiye Sağlık Enstitüleri Başkanlığı, Academy of Medical Sciences, National Research Foundation, South African Medical Research Council, Ministry of Education, Culture, Sports, Science and Technology, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Fundação de Amparo à Pesquisa do Estado de São Paulo, National Natural Science Foundation of China, Public Health England, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Academy of Finland, Cancerfonden, Ministry of Science and Technology of the People's Republic of China, China Postdoctoral Science Foundation, Ministry of Health, Labour and Welfare, Conselho Nacional de Desenvolvimento Científico e Tecnológico, National Evidence-based Healthcare Collaborating Agency, Korea Health Industry Development Institute, National Research Foundation of Korea, Svenska Sällskapet för Medicinsk Forskning, Natural Science Foundation of Hubei Province, Karolinska Institutet, Kato Memorial Bioscience Foundation, Seoul National University Hospital, Natural Science Foundation of Jiangsu Province, Natural Science Foundation of Chongqing, Koneen Säätiö, Forskningsrådet om Hälsa, Arbetsliv och Välfärd, Kempestiftelserna, Reumatikerförbundet, National Institute of Environmental Research, Department of Science and Technology of Jilin Province, University of Fort Hare, Prince Sultan University, Jiangsu Provincial Key Research and Development Program, Ministry of Science and ICT, South Korea, Stiftelsen Mary von Sydows, född Wijk, donationsfond, Korean College of Helicobacter and Upper Gastrointestinal Research, National Institutes of Health, Directorate for Mathematical and Physical Sciences, National Institute of Food and Agriculture, U.S. Forest Service, College of Natural Science, Michigan State University, Department of Psychology, University of Alabama at Birmingham, HORIZON EUROPE Framework Programme, Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, Fisheries and Oceans Canada, Biotechnology and Biological Sciences Research Council, National Health and Medical Research Council, National Medical Research Council, Japan Society for the Promotion of Science, Fundação para a Ciência e a Tecnologia, Japan Science and Technology Agency, Fundação de Apoio ao Ensino, Pesquisa e Assistência do Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo, National Key Research and Development Program of China, Bilimsel Araştırma Projeleri Birimi, İstanbul Teknik Üniversitesi, National Institute on Aging, National Institute of Neurological Disorders and Stroke, Division of Integrative Organismal Systems, Division of Environmental Biology, National Center for Advancing Translational Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Institute of Population and Public Health, NHLBI Division of Intramural Research, National Science Foundation Graduate Research Fellowship Program, Canadian Statistical Sciences Institute
OpenAlex ID: W7150862662