{"doi":"10.1016/j.adro.2025.101899","title":"Radiation Dose Overlay Improves Radiologists' Interpretation of Post-therapy Computed Tomography Imaging for Thoracic Malignancies","abstract":"Purpose Radiation therapy dose visualizations created by radiation oncologists are not accessible to diagnostic radiologists; however, access may improve interpretation accuracy and confidence when applied to surveillance imaging of patients with radiation therapy-treated thoracic malignancies. Methods and Materials In a prospective analysis of retrospectively acquired data, 32 imaging series of patients treated with radiation therapy for thoracic malignancies (14 men, 18 women; mean age, 71 years ± SD 10.35 years) were interpreted. One cardiothoracic radiology attending and 1 radiology resident interpreted pretreatment, treatment planning, and posttreatment computed tomography (CT) images in anonymized software sessions first without, then—after a 1 month \"washout period\"—with access to radiation therapy dose overlays. Readers then labeled treated lesion(s) and treatment effect(s) and recorded their confidence using a Likert scale (1-5) and agreement with yes/no statements. Binary data were analyzed with McNemar's and Fisher's tests, whereas Likert scale data were analyzed with paired 2-sided t tests. Results With the addition of radiation dose visualization, the identification of all treated lesions increased from 61% to 81% of CT series ( P < .001). This was most pronounced in CT series with multiple treated lesions (15%-54% of CT series, P = .004). Confidence in identification ability also increased from a rating of 4.1 to 4.8 on a scale of 1 to 5 ( P < .001), and the desire to access the chart for additional patient information decreased from 3.63 to 3.28 ( P = .005). Conclusions Access to radiation dose visualization was associated with increased correct identification rate of irradiated lesions and treatment effects, as well as radiologists' confidence in said identifications.","journal":"Advances in Radiation Oncology","year":2025,"id":584142,"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":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.7943,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1497425,"name":"Zoe O Ferguson-Steele","orcid":null,"position":1,"is_corresponding":false},{"id":522323,"name":"David S. Shin","orcid":"0000-0002-9237-7299","position":2,"is_corresponding":false},{"id":1497426,"name":"Min Gyu Noh","orcid":null,"position":3,"is_corresponding":false},{"id":684997,"name":"Sudhakar Pipavath","orcid":"0000-0001-6948-2376","position":4,"is_corresponding":false},{"id":479415,"name":"Joseph C. Tsai","orcid":"0000-0002-0727-2020","position":5,"is_corresponding":false},{"id":1497037,"name":"K Hendrickson","orcid":"0000-0002-6426-1395","position":6,"is_corresponding":false},{"id":1497427,"name":"Tyler Gutschenritter","orcid":null,"position":7,"is_corresponding":false},{"id":498954,"name":"John Kang","orcid":"0000-0003-3915-8350","position":8,"is_corresponding":false},{"id":473680,"name":"Kathy L. Newell","orcid":"0009-0002-9854-2512","position":0,"is_corresponding":true}],"reference_count":15,"raw_metadata":null,"created_at":"2026-07-19T02:59:11.978098Z","pmid":"41333183","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":[]}