Unenhanced Breast MRI With Diffusion-Weighted Imaging for Breast Cancer Detection: Effects of Training on Performance and Agreement of Subspecialty Radiologists
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 negati...
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Veröffentlicht in: | Korean journal of radiology 2024, Vol.25 (1), p.11-23 |
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creator | Yeon Soo Kim Su Hyun Lee Soo-Yeon Kim Eun Sil Kim Ah Reum Park Jung Min Chang Vivian Youngjean Park Jung Hyun Yoon Bong Joo Kang Bo La Yun Tae Hee Kim Eun Sook Ko A Jung Chu Jin You Kim Inyoung Youn Eun Young Chae Woo Jung Choi Hee Jeong Kim Soo Hee Kang Su Min Ha Woo Kyung Moon |
description | 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/mm2 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 κ 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 κ 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. |
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fullrecord | <record><control><sourceid>kisti</sourceid><recordid>TN_cdi_kisti_ndsl_JAKO202418443208150</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>JAKO202418443208150</sourcerecordid><originalsourceid>FETCH-kisti_ndsl_JAKO2024184432081503</originalsourceid><addsrcrecordid>eNqNy8FKw0AQxvFFFIzVd5iLx8Bmk0rirbYVWxFLrfRY1mQ2GU12ZWd78G18VDegd0_zwfz-JyJRUk7TMs_lqUgypar0plLVubhgfpdSVbIsEvH9atF22tbYwJ1HzQGetivYU-hgQcYcmZxN90htFyJZDbol24Jx_o_Px9jDAgPWIeJbWBoTJ4MzsPOa7Bg4Cxv0MRtGDto2MGs94oA2jPDl-MafWJPuwxdsdUOudy1x4EtxZnTPePV7J-L6frmbP6Qf8UsH23B_WM8en5VURVYWRa5kmU1l_l_3A5MWWy8</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Unenhanced Breast MRI With Diffusion-Weighted Imaging for Breast Cancer Detection: Effects of Training on Performance and Agreement of Subspecialty Radiologists</title><source>KoreaMed Synapse(OpenAccess)</source><source>KoreaMed Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><source>PubMed Central Open Access</source><creator>Yeon Soo Kim ; Su Hyun Lee ; Soo-Yeon Kim ; Eun Sil Kim ; Ah Reum Park ; Jung Min Chang ; Vivian Youngjean Park ; Jung Hyun Yoon ; Bong Joo Kang ; Bo La Yun ; Tae Hee Kim ; Eun Sook Ko ; A Jung Chu ; Jin You Kim ; Inyoung Youn ; Eun Young Chae ; Woo Jung Choi ; Hee Jeong Kim ; Soo Hee Kang ; Su Min Ha ; Woo Kyung Moon</creator><creatorcontrib>Yeon Soo Kim ; Su Hyun Lee ; Soo-Yeon Kim ; Eun Sil Kim ; Ah Reum Park ; Jung Min Chang ; Vivian Youngjean Park ; Jung Hyun Yoon ; Bong Joo Kang ; Bo La Yun ; Tae Hee Kim ; Eun Sook Ko ; A Jung Chu ; Jin You Kim ; Inyoung Youn ; Eun Young Chae ; Woo Jung Choi ; Hee Jeong Kim ; Soo Hee Kang ; Su Min Ha ; Woo Kyung Moon</creatorcontrib><description>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/mm2 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 κ 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 κ 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.</description><identifier>ISSN: 1229-6929</identifier><identifier>EISSN: 2005-8330</identifier><language>kor</language><ispartof>Korean journal of radiology, 2024, Vol.25 (1), p.11-23</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,4010</link.rule.ids></links><search><creatorcontrib>Yeon Soo Kim</creatorcontrib><creatorcontrib>Su Hyun Lee</creatorcontrib><creatorcontrib>Soo-Yeon Kim</creatorcontrib><creatorcontrib>Eun Sil Kim</creatorcontrib><creatorcontrib>Ah Reum Park</creatorcontrib><creatorcontrib>Jung Min Chang</creatorcontrib><creatorcontrib>Vivian Youngjean Park</creatorcontrib><creatorcontrib>Jung Hyun Yoon</creatorcontrib><creatorcontrib>Bong Joo Kang</creatorcontrib><creatorcontrib>Bo La Yun</creatorcontrib><creatorcontrib>Tae Hee Kim</creatorcontrib><creatorcontrib>Eun Sook Ko</creatorcontrib><creatorcontrib>A Jung Chu</creatorcontrib><creatorcontrib>Jin You Kim</creatorcontrib><creatorcontrib>Inyoung Youn</creatorcontrib><creatorcontrib>Eun Young Chae</creatorcontrib><creatorcontrib>Woo Jung Choi</creatorcontrib><creatorcontrib>Hee Jeong Kim</creatorcontrib><creatorcontrib>Soo Hee Kang</creatorcontrib><creatorcontrib>Su Min Ha</creatorcontrib><creatorcontrib>Woo Kyung Moon</creatorcontrib><title>Unenhanced Breast MRI With Diffusion-Weighted Imaging for Breast Cancer Detection: Effects of Training on Performance and Agreement of Subspecialty Radiologists</title><title>Korean journal of radiology</title><addtitle>Korean journal of radiology : official journal of the Korean Radiological Society</addtitle><description>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/mm2 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 κ 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 κ 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.</description><issn>1229-6929</issn><issn>2005-8330</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>JDI</sourceid><recordid>eNqNy8FKw0AQxvFFFIzVd5iLx8Bmk0rirbYVWxFLrfRY1mQ2GU12ZWd78G18VDegd0_zwfz-JyJRUk7TMs_lqUgypar0plLVubhgfpdSVbIsEvH9atF22tbYwJ1HzQGetivYU-hgQcYcmZxN90htFyJZDbol24Jx_o_Px9jDAgPWIeJbWBoTJ4MzsPOa7Bg4Cxv0MRtGDto2MGs94oA2jPDl-MafWJPuwxdsdUOudy1x4EtxZnTPePV7J-L6frmbP6Qf8UsH23B_WM8en5VURVYWRa5kmU1l_l_3A5MWWy8</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Yeon Soo Kim</creator><creator>Su Hyun Lee</creator><creator>Soo-Yeon Kim</creator><creator>Eun Sil Kim</creator><creator>Ah Reum Park</creator><creator>Jung Min Chang</creator><creator>Vivian Youngjean Park</creator><creator>Jung Hyun Yoon</creator><creator>Bong Joo Kang</creator><creator>Bo La Yun</creator><creator>Tae Hee Kim</creator><creator>Eun Sook Ko</creator><creator>A Jung Chu</creator><creator>Jin You Kim</creator><creator>Inyoung Youn</creator><creator>Eun Young Chae</creator><creator>Woo Jung Choi</creator><creator>Hee Jeong Kim</creator><creator>Soo Hee Kang</creator><creator>Su Min Ha</creator><creator>Woo Kyung Moon</creator><scope>JDI</scope></search><sort><creationdate>2024</creationdate><title>Unenhanced Breast MRI With Diffusion-Weighted Imaging for Breast Cancer Detection: Effects of Training on Performance and Agreement of Subspecialty Radiologists</title><author>Yeon Soo Kim ; Su Hyun Lee ; Soo-Yeon Kim ; Eun Sil Kim ; Ah Reum Park ; Jung Min Chang ; Vivian Youngjean Park ; Jung Hyun Yoon ; Bong Joo Kang ; Bo La Yun ; Tae Hee Kim ; Eun Sook Ko ; A Jung Chu ; Jin You Kim ; Inyoung Youn ; Eun Young Chae ; Woo Jung Choi ; Hee Jeong Kim ; Soo Hee Kang ; Su Min Ha ; Woo Kyung Moon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-kisti_ndsl_JAKO2024184432081503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>kor</language><creationdate>2024</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Yeon Soo Kim</creatorcontrib><creatorcontrib>Su Hyun Lee</creatorcontrib><creatorcontrib>Soo-Yeon Kim</creatorcontrib><creatorcontrib>Eun Sil Kim</creatorcontrib><creatorcontrib>Ah Reum Park</creatorcontrib><creatorcontrib>Jung Min Chang</creatorcontrib><creatorcontrib>Vivian Youngjean Park</creatorcontrib><creatorcontrib>Jung Hyun Yoon</creatorcontrib><creatorcontrib>Bong Joo Kang</creatorcontrib><creatorcontrib>Bo La Yun</creatorcontrib><creatorcontrib>Tae Hee Kim</creatorcontrib><creatorcontrib>Eun Sook Ko</creatorcontrib><creatorcontrib>A Jung Chu</creatorcontrib><creatorcontrib>Jin You Kim</creatorcontrib><creatorcontrib>Inyoung Youn</creatorcontrib><creatorcontrib>Eun Young Chae</creatorcontrib><creatorcontrib>Woo Jung Choi</creatorcontrib><creatorcontrib>Hee Jeong Kim</creatorcontrib><creatorcontrib>Soo Hee Kang</creatorcontrib><creatorcontrib>Su Min Ha</creatorcontrib><creatorcontrib>Woo Kyung Moon</creatorcontrib><collection>KoreaScience</collection><jtitle>Korean journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yeon Soo Kim</au><au>Su Hyun Lee</au><au>Soo-Yeon Kim</au><au>Eun Sil Kim</au><au>Ah Reum Park</au><au>Jung Min Chang</au><au>Vivian Youngjean Park</au><au>Jung Hyun Yoon</au><au>Bong Joo Kang</au><au>Bo La Yun</au><au>Tae Hee Kim</au><au>Eun Sook Ko</au><au>A Jung Chu</au><au>Jin You Kim</au><au>Inyoung Youn</au><au>Eun Young Chae</au><au>Woo Jung Choi</au><au>Hee Jeong Kim</au><au>Soo Hee Kang</au><au>Su Min Ha</au><au>Woo Kyung Moon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Unenhanced Breast MRI With Diffusion-Weighted Imaging for Breast Cancer Detection: Effects of Training on Performance and Agreement of Subspecialty Radiologists</atitle><jtitle>Korean journal of radiology</jtitle><addtitle>Korean journal of radiology : official journal of the Korean Radiological Society</addtitle><date>2024</date><risdate>2024</risdate><volume>25</volume><issue>1</issue><spage>11</spage><epage>23</epage><pages>11-23</pages><issn>1229-6929</issn><eissn>2005-8330</eissn><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/mm2 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 κ 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 κ 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.</abstract><oa>free_for_read</oa></addata></record> |
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title | Unenhanced Breast MRI With Diffusion-Weighted Imaging for Breast Cancer Detection: Effects of Training on Performance and Agreement of Subspecialty Radiologists |
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