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Effectiveness of radiologist training in improving reader agreement for Lung-RADS 4X categorization

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dc.contributor.authorKim, Hyungjin-
dc.contributor.authorGoo, Jin Mo-
dc.contributor.authorKim, Tae Jung-
dc.contributor.authorKim, Hyae Young-
dc.contributor.authorGu, Guanmin-
dc.contributor.authorGil, Bomi-
dc.contributor.authorKim, Wooil-
dc.contributor.authorPark, Seon Young-
dc.contributor.authorPark, Junghoan-
dc.contributor.authorPark, Juil-
dc.contributor.authorPark, Harkhoon-
dc.contributor.authorSong, Wonkyu-
dc.contributor.authorShin, Kyung Eun-
dc.contributor.authorOh, Jiseon-
dc.contributor.authorYoon, Sung Hyun-
dc.contributor.authorLee, Sanghyup-
dc.contributor.authorLee, Youkyung-
dc.contributor.authorLim, Woo Hyeon-
dc.contributor.authorJeong, Won Gi-
dc.contributor.authorJung, Jung Im-
dc.contributor.authorCha, Min Jae-
dc.contributor.authorChoi, Sinae-
dc.contributor.authorChoi, Hyoung In-
dc.contributor.authorHam, Soo-Youn-
dc.contributor.authorKim, Yeol-
dc.date.accessioned2021-09-10T06:44:42Z-
dc.date.available2021-09-10T06:44:42Z-
dc.date.issued2021-11-
dc.identifier.issn0938-7994-
dc.identifier.issn1432-1084-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/19301-
dc.description.abstractObjectives To identify the agreement on Lung CT Screening Reporting and Data System 4X categorization between radiologists and an expert-adjudicated reference standard and to investigate whether training led to improvement of the agreement measures and diagnostic potential for lung cancer. Methods Category 4 nodules in the Korean Lung Cancer Screening Project were identified retrospectively, and each 4X nodule was matched with one 4A or 4B nodule. An expert panel re-evaluated the categories and determined the reference standard. Nineteen radiologists were asked to determine the presence of CT features of malignancy and 4X categorization for each nodule. A review was performed in two sessions, and training material was given after session 1. Agreement on 4X categorization between radiologists and the expert-adjudicated reference standard and agreement between radiologist-assessed 4X categorization and lung cancer diagnosis were evaluated. Results The 48 expert-adjudicated 4X nodules and 64 non-4X nodules were evenly distributed in each session. The proportion of category 4X decreased after training (56.4% +/- 16.9% vs. 33.4% +/- 8.0%; p < 0.001). Cohen's kappa indicated poor agreement (0.39 +/- 0.16) in session 1, but agreement improved in session 2 (0.47 +/- 0.09; p = 0.03). The increase in agreement in session 2 was observed among inexperienced radiologists (p < 0.05), and experienced and inexperienced reviewers exhibited comparable agreement performance in session 2 (p > 0.05). All agreement measures between radiologist-assessed 4X categorization and lung cancer diagnosis increased in session 2 (p < 0.05). Conclusion Radiologist training can improve reader agreement on 4X categorization, leading to enhanced diagnostic performance for lung cancer.-
dc.format.extent13-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Verlag-
dc.titleEffectiveness of radiologist training in improving reader agreement for Lung-RADS 4X categorization-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1007/s00330-021-07990-y-
dc.identifier.scopusid2-s2.0-85105009532-
dc.identifier.wosid000642056700010-
dc.identifier.bibliographicCitationEuropean Radiology, v.9, no.9, pp 1 - 13-
dc.citation.titleEuropean Radiology-
dc.citation.volume9-
dc.citation.number9-
dc.citation.startPage1-
dc.citation.endPage13-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.subject.keywordPlusSOLITARY PULMONARY NODULES-
dc.subject.keywordPlusCANCER-
dc.subject.keywordPlusCT-
dc.subject.keywordPlusMORTALITY-
dc.subject.keywordPlusTRIAL-
dc.subject.keywordAuthorEarly detection of cancer-
dc.subject.keywordAuthorDiagnostic screening programs-
dc.subject.keywordAuthorLung neoplasms-
dc.subject.keywordAuthorMultidetector computed tomography-
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