ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2016
Conformity analysis to demonstrate reproducibility of target volumes for Margin-Intense Stereotactic Radiotherapy for borderline-resectable pancreatic cancer.
Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Elective nodal irradiation with simultaneous integrated boost stereotactic body radiotherapy for pancreatic cancer: Analyses of planning feasibility and geometrically driven DVH prediction model.Journal of applied clinical medical physics · 2019Trial
- Optimization of temporal phase in multi-phase contrast-enhanced MRI for gross tumor volume determination in pancreatic cancer radiotherapy.Translational cancer research · 2026Article
- Article
- Daily breathing inconsistency in pancreas SBRT: a 4DCT study.Journal of gastrointestinal oncology · 2018Article
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Authors and funding
10 authors at 6 institutions in 1 country.
Funding
Abstract
background and purposeMargin-directed neoadjuvant radiotherapy for borderline-resectable pancreatic cancer (BRPC) aims to facilitate clear surgical margins. A systematic method was developed for definition of a boost target volume prior to a formal phase-I study. MATERIAL AND
methodsReference structures were defined by two oncologists and one radiologist, target structures were submitted by eight oncologist investigators and compared using conformity indices. Resultant risk of duodenal bleed (NTCP) was modelled.
resultsFor GTV, reference volume was 2.1cm
conclusionsBetter conformity with reference was shown for boost volume compared with GTV. Investigator GTV volumes were larger than reference, had higher DI scores and modelled toxicity risk. A consistent method of target structure definition for margin-directed pancreatic radiotherapy is demonstrated.
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