Cited 2 times in
Unenhanced Breast MRI With Diffusion-Weighted Imaging for Breast Cancer Detection: Effects of Training on Performance and Agreement of Subspecialty Radiologists
DC Field | Value | Language |
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dc.contributor.author | 박영진 | - |
dc.contributor.author | 윤정현 | - |
dc.date.accessioned | 2024-10-04T02:13:28Z | - |
dc.date.available | 2024-10-04T02:13:28Z | - |
dc.date.issued | 2024-01 | - |
dc.identifier.issn | 1229-6929 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/200442 | - |
dc.description.abstract | Objective: To investigate whether reader training improves the performance and agreement of radiologists in interpreting unenhanced breast magnetic resonance imaging (MRI) scans using diffusion -weighted imaging (DWI). Materials and Methods: A study of 96 breasts (35 cancers, 24 benign, and 37 negative) in 48 asymptomatic women was performed between June 2019 and October 2020. High -resolution DWI with b -values of 0, 800, and 1200 sec/mm 2 was performed using a 3.0-T system. Sixteen breast radiologists independently reviewed the DWI, apparent diffusion coefficient maps, and T1 -weighted MRI scans and recorded the Breast Imaging Reporting and Data System (BI-RADS) category for each breast. After a 2-h training session and a 5 -month washout period, they re-evaluated the BI-RADS categories. A BI-RADS category of 4 (lesions with at least two suspicious criteria) or 5 (more than two suspicious criteria) was considered positive. The per -breast diagnostic performance of each reader was compared between the first and second reviews. Inter -reader agreement was evaluated using a multi -rater kappa analysis and intraclass correlation coefficient (ICC). Results: Before training, the mean sensitivity, specificity, and accuracy of the 16 readers were 70.7% (95% confidence interval [CI]: 59.4-79.9), 90.8% (95% CI: 85.6-94.2), and 83.5% (95% CI: 78.6-87.4), respectively. After training, significant improvements in specificity (95.2%; 95% CI: 90.8-97.5; P = 0.001) and accuracy (85.9%; 95% CI: 80.9-89.8; P = 0.01) were observed, but no difference in sensitivity (69.8%; 95% CI: 58.1-79.4; P = 0.58) was observed. Regarding inter reader agreement, the kappa values were 0.57 (95% CI: 0.52-0.63) before training and 0.68 (95% CI: 0.62-0.74) after training, with a difference of 0.11 (95% CI: 0.02-0.18; P = 0.01). The ICC was 0.73 (95% CI: 0.69-0.74) before training and 0.79 (95% CI: 0.76-0.80) after training ( P = 0.002). Conclusion: Brief reader training improved the performance and agreement of interpretations by breast radiologists using unenhanced MRI with DWI. | - |
dc.description.statementOfResponsibility | open | - |
dc.format | application/pdf | - |
dc.language | English | - |
dc.publisher | Korean Society of Radiology | - |
dc.relation.isPartOf | KOREAN JOURNAL OF RADIOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Breast / diagnostic imaging | - |
dc.subject.MESH | Breast Neoplasms* / diagnostic imaging | - |
dc.subject.MESH | Diffusion Magnetic Resonance Imaging | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Magnetic Resonance Imaging | - |
dc.subject.MESH | Radiologists | - |
dc.title | Unenhanced Breast MRI With Diffusion-Weighted Imaging for Breast Cancer Detection: Effects of Training on Performance and Agreement of Subspecialty Radiologists | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Radiology (영상의학교실) | - |
dc.contributor.googleauthor | Yeon Soo Kim | - |
dc.contributor.googleauthor | Su Hyun Lee | - |
dc.contributor.googleauthor | Soo-Yeon Kim | - |
dc.contributor.googleauthor | Eun Sil Kim | - |
dc.contributor.googleauthor | Ah Reum Park | - |
dc.contributor.googleauthor | Jung Min Chang | - |
dc.contributor.googleauthor | Vivian Youngjean Park | - |
dc.contributor.googleauthor | Jung Hyun Yoon | - |
dc.contributor.googleauthor | Bong Joo Kang | - |
dc.contributor.googleauthor | Bo La Yun | - |
dc.contributor.googleauthor | Tae Hee Kim | - |
dc.contributor.googleauthor | Eun Sook Ko | - |
dc.contributor.googleauthor | A Jung Chu | - |
dc.contributor.googleauthor | Jin You Kim | - |
dc.contributor.googleauthor | Inyoung Youn | - |
dc.contributor.googleauthor | Eun Young Chae | - |
dc.contributor.googleauthor | Woo Jung Choi | - |
dc.contributor.googleauthor | Hee Jeong Kim | - |
dc.contributor.googleauthor | Soo Hee Kang | - |
dc.contributor.googleauthor | Su Min Ha | - |
dc.contributor.googleauthor | Woo Kyung Moon | - |
dc.identifier.doi | 10.3348/kjr.2023.0528 | - |
dc.contributor.localId | A01572 | - |
dc.contributor.localId | A02595 | - |
dc.relation.journalcode | J02884 | - |
dc.identifier.eissn | 2005-8330 | - |
dc.identifier.pmid | 38184765 | - |
dc.subject.keyword | Breast | - |
dc.subject.keyword | Diagnosis, Differential | - |
dc.subject.keyword | Diffusion-weighted imaging | - |
dc.subject.keyword | Magnetic resonance imaging | - |
dc.subject.keyword | Training. | - |
dc.contributor.alternativeName | Park, Vivian Youngjean | - |
dc.contributor.affiliatedAuthor | 박영진 | - |
dc.contributor.affiliatedAuthor | 윤정현 | - |
dc.citation.volume | 25 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 11 | - |
dc.citation.endPage | 23 | - |
dc.identifier.bibliographicCitation | KOREAN JOURNAL OF RADIOLOGY, Vol.25(1) : 11-23, 2024-01 | - |
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