Unenhanced Breast MRI With Diffusion-Weighted Imaging for Breast Cancer Detection : Effects of Training on Performance and Agreement of Subspecialty Radiologists
Copyright © 2023 The Korean Society of Radiology..
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.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2024 |
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Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:25 |
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Enthalten in: |
Korean journal of radiology - 25(2024), 1 vom: 06. Jan., Seite 11-23 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Kim, Yeon Soo [VerfasserIn] |
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Links: |
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Themen: |
Breast |
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Anmerkungen: |
Date Completed 08.01.2024 Date Revised 17.01.2024 published: Print Citation Status MEDLINE |
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doi: |
10.3348/kjr.2023.0528 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM366753827 |
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100 | 1 | |a Kim, Yeon Soo |e verfasserin |4 aut | |
245 | 1 | 0 | |a Unenhanced Breast MRI With Diffusion-Weighted Imaging for Breast Cancer Detection |b Effects of Training on Performance and Agreement of Subspecialty Radiologists |
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500 | |a Date Revised 17.01.2024 | ||
500 | |a published: Print | ||
500 | |a Citation Status MEDLINE | ||
520 | |a Copyright © 2023 The Korean Society of Radiology. | ||
520 | |a 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) | ||
520 | |a 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) | ||
520 | |a 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) | ||
520 | |a CONCLUSION: Brief reader training improved the performance and agreement of interpretations by breast radiologists using unenhanced MRI with DWI | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Breast | |
650 | 4 | |a Diagnosis, Differential | |
650 | 4 | |a Diffusion-weighted imaging | |
650 | 4 | |a Magnetic resonance imaging | |
650 | 4 | |a Training | |
700 | 1 | |a Lee, Su Hyun |e verfasserin |4 aut | |
700 | 1 | |a Kim, Soo-Yeon |e verfasserin |4 aut | |
700 | 1 | |a Kim, Eun Sil |e verfasserin |4 aut | |
700 | 1 | |a Park, Ah Reum |e verfasserin |4 aut | |
700 | 1 | |a Chang, Jung Min |e verfasserin |4 aut | |
700 | 1 | |a Park, Vivian Youngjean |e verfasserin |4 aut | |
700 | 1 | |a Yoon, Jung Hyun |e verfasserin |4 aut | |
700 | 1 | |a Kang, Bong Joo |e verfasserin |4 aut | |
700 | 1 | |a Yun, Bo La |e verfasserin |4 aut | |
700 | 1 | |a Kim, Tae Hee |e verfasserin |4 aut | |
700 | 1 | |a Ko, Eun Sook |e verfasserin |4 aut | |
700 | 1 | |a Chu, A Jung |e verfasserin |4 aut | |
700 | 1 | |a Kim, Jin You |e verfasserin |4 aut | |
700 | 1 | |a Youn, Inyoung |e verfasserin |4 aut | |
700 | 1 | |a Chae, Eun Young |e verfasserin |4 aut | |
700 | 1 | |a Choi, Woo Jung |e verfasserin |4 aut | |
700 | 1 | |a Kim, Hee Jeong |e verfasserin |4 aut | |
700 | 1 | |a Kang, Soo Hee |e verfasserin |4 aut | |
700 | 1 | |a Ha, Su Min |e verfasserin |4 aut | |
700 | 1 | |a Moon, Woo Kyung |e verfasserin |4 aut | |
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