{"doi":"10.1016/j.adro.2022.101015","title":"Validation and Comparison of Radiograph-Based Organ Dose Reconstruction Approaches for Wilms Tumor Radiation Treatment Plans","abstract":"Purpose: Our purpose was to validate and compare the performance of 4 organ dose reconstruction approaches for historical radiation treatment planning based on 2-dimensional radiographs. Methods and Materials: ) were computed as the reference baseline for comparison. Dosimetry for the 20 plans was then independently reconstructed using 4 different approaches. Three approaches involved surrogate anatomy, among which 2 used demographic-matching criteria for phantom selection/building, and 1 used machine learning. The fourth approach was also machine learning-based, but used no surrogate anatomies. Absolute differences in organ dose-volume metrics between the reconstructed and the reference values were calculated. Results: (maximum point dose), the absolute differences were much higher, that is, exceeding 14% (2 Gy), with the poorest agreement observed for near-beam and out-of-beam organs for all approaches. Conclusions: The studied approaches give comparable dose reconstruction results, and the choice of approach for cohort dosimetry for late effects studies should still be largely driven by the available resources (data, time, expertise, and funding).","journal":"Advances in Radiation Oncology","year":2022,"id":290181,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.7274,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":972193,"name":"Marco Virgolin","orcid":"0000-0001-8905-9313","position":1,"is_corresponding":false},{"id":972194,"name":"Brian V. Balgobind","orcid":"0009-0009-0326-7345","position":2,"is_corresponding":false},{"id":972195,"name":"Irma W.E.M. van Dijk","orcid":"0000-0003-2330-8086","position":3,"is_corresponding":false},{"id":310247,"name":"Susan A. Smith","orcid":"0000-0002-6367-3080","position":4,"is_corresponding":false},{"id":310246,"name":"Rebecca M. Howell","orcid":"0000-0002-0803-071X","position":5,"is_corresponding":false},{"id":497923,"name":"Matthew M. Mille","orcid":"0000-0003-2529-1409","position":6,"is_corresponding":false},{"id":108806,"name":"Choonsik Lee","orcid":"0000-0002-6219-6622","position":7,"is_corresponding":false},{"id":513701,"name":"Choonik Lee","orcid":"0000-0002-5769-5945","position":8,"is_corresponding":false},{"id":647524,"name":"Cécile M. Ronckers","orcid":"0000-0003-3524-4657","position":9,"is_corresponding":false},{"id":972196,"name":"Peter A. N. Bosman","orcid":"0000-0002-4186-6666","position":10,"is_corresponding":false},{"id":972197,"name":"Arjan Bel","orcid":"0000-0003-1576-6220","position":11,"is_corresponding":false},{"id":972198,"name":"Tanja Alderliesten","orcid":"0000-0003-4261-7511","position":12,"is_corresponding":false},{"id":972192,"name":"Ziyuan Wang","orcid":"0000-0001-6336-0300","position":0,"is_corresponding":true}],"reference_count":51,"raw_metadata":null,"created_at":"2026-07-19T00:30:26.667578Z","pmid":"36060631","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}