{"doi":"10.1016/j.adro.2023.101417","title":"Prospective Evaluation of Automated Contouring for CT-Based Brachytherapy for Gynecologic Malignancies","abstract":"PurposeThe use of deep learning to auto-contour organs-at-risk (OARs) in gynecologic radiation treatment is well-established. Yet, there is limited data investigating the prospective use of auto-contouring in clinical practice. In this study, we assess the accuracy and efficiency of auto-contouring OARs for CT-based brachytherapy treatment planning of gynecologic malignancies.Materials and MethodsAn in-house contouring tool automatically delineated five OARs in gynecologic radiation treatment planning: the bladder, small bowel, sigmoid, rectum, and urethra. Accuracy of each auto-contour was evaluated using a 5-point Likert scale: a score of five indicated the contour could be used without edits, while a score of one indicated the contour was unusable. During scoring, automated contours were edited and subsequently used for treatment planning. Dice similarity coefficient (DSC), mean surface distance (MSD), 95% Hausdorff Distance (95HD), Hausdorff Distance (HD), and dosimetric changes between original and edited contours were calculated. Contour approval time and total planning time of a prospective auto-contoured (AC) cohort were compared to times from a retrospective manually contoured (MC) cohort.ResultsThirty AC cases from January 2022 to July 2022 and thirty-one MC cases from July 2021 to January 2022 were included. The mean (±SD) Likert score for each OAR was the following: bladder 4.77 (±0.58), small bowel 3.96 (±0.91), sigmoid colon 3.92 (±0.81), rectum 4.6 (±0.71), and urethra 4.27 (±0.78). No auto-contours required major edits. All OARs had a mean DSC > 0.86, MSD < 0.48mm, 95HD < 3.2mm, and HD < 10.32mm between original and edited contours. There was no significant difference in DVH metrics (D2.0cc/D0.1cc) between original and edited contours (p-values > 0.05). The average time to plan approval in the AC cohort was 19% less than the MC cohort. (AC vs. MC, 117.0 + 18.0 minutes versus 144.9 ± 64.5 minutes, p=0.045).ConclusionsAutomated contouring is useful and accurate in clinical practice. Auto-contouring OARs streamlines radiation treatment workflows and decreases time required to design and approve gynecologic brachytherapy plans.","journal":"Advances in Radiation Oncology","year":2023,"id":348859,"datarank":0.37273599746820013,"base_score":2.4849066497880004,"endowment":2.4849066497880004,"self_citation_contribution":0.37273599746820013,"citation_network_contribution":0.0,"self_endowment_contribution":0.37273599746820013,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":11,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9252,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":981497,"name":"Zohaib Iqbal","orcid":"0000-0002-5024-7509","position":1,"is_corresponding":false},{"id":671230,"name":"R Cardan","orcid":"0000-0001-9483-1398","position":2,"is_corresponding":false},{"id":671228,"name":"Richard A. Popple","orcid":"0000-0003-1252-738X","position":3,"is_corresponding":false},{"id":1091588,"name":"Dennis N. Stanley","orcid":"0000-0003-4792-748X","position":4,"is_corresponding":false},{"id":465299,"name":"Sui Shen","orcid":"0000-0003-2708-6580","position":5,"is_corresponding":false},{"id":1091589,"name":"Joel A. Pogue","orcid":"0000-0003-4450-6698","position":6,"is_corresponding":false},{"id":1092096,"name":"Xingen Wu","orcid":null,"position":7,"is_corresponding":false},{"id":1091590,"name":"Kevin Lee","orcid":"0000-0001-8951-1189","position":8,"is_corresponding":false},{"id":443383,"name":"Samuel Marcrom","orcid":"0000-0002-4014-3781","position":9,"is_corresponding":false},{"id":299192,"name":"Carlos Cárdenas","orcid":"0000-0003-1414-3849","position":10,"is_corresponding":false},{"id":921216,"name":"Abigayle Kraus","orcid":null,"position":0,"is_corresponding":true}],"reference_count":28,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T01:12:10.335697Z","pmid":"38435965","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":[]}