Ultrasound Viscosity Imaging in Breast Lesions : A Multicenter Prospective Study
Copyright © 2024 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved..
RATIONALE AND OBJECTIVES: To explore and validate the clinical value of ultrasound (US) viscosity imaging in differentiating breast lesions by combining with BI-RADS, and then comparing the diagnostic performances with BI-RADS alone.
MATERIALS AND METHODS: This multicenter, prospective study enrolled participants with breast lesions from June 2021 to November 2022. A development cohort (DC) and validation cohort (VC) were established. Using histological results as reference standard, the viscosity-related parameter with the highest area under the receiver operating curve (AUC) was selected as the optimal one. Then the original BI-RADS would upgrade or not based on the value of this parameter. Finally, the results were validated in the VC and total cohorts. In the DC, VC and total cohorts, all breast lesions were divided into the large lesion, small lesion and overall groups respectively.
RESULTS: A total of 639 participants (mean age, 46 years ± 14) with 639 breast lesions (372 benign and 267 malignant lesions) were finally enrolled in this study including 392 participants in the DC and 247 in the VC. In the DC, the optimal viscosity-related parameter in differentiating breast lesions was calculated to be A'-S2-Vmax, with the AUC of 0.88 (95% CI: 0.84, 0.91). Using > 9.97 Pa.s as the cutoff value, the BI-RADS was then modified. The AUC of modified BI-RADS significantly increased from 0.85 (95% CI: 0.81, 0.88) to 0.91 (95% CI: 0.87, 0.93), 0.85 (95% CI: 0.80, 0.89) to 0.90 (95% CI: 0.85, 0.93) and 0.85 (95% CI: 0.82, 0.87) to 0.90 (95% CI: 0.88, 0.92) in the DC, VC and total cohorts respectively (P < .05 for all).
CONCLUSION: The quantitative viscous parameters evaluated by US viscosity imaging contribute to breast cancer diagnosis when combined with BI-RADS.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2024 |
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| Enthalten in: |
Academic radiology - (2024) vom: 05. Apr. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Jia, WanRu [VerfasserIn] |
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| Links: |
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| Themen: |
Breast neoplasms |
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| Anmerkungen: |
Date Revised 06.04.2024 published: Print-Electronic Citation Status Publisher |
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| doi: |
10.1016/j.acra.2024.03.017 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM370720946 |
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| 100 | 1 | |a Jia, WanRu |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Ultrasound Viscosity Imaging in Breast Lesions |b A Multicenter Prospective Study |
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| 500 | |a Date Revised 06.04.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status Publisher | ||
| 520 | |a Copyright © 2024 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved. | ||
| 520 | |a RATIONALE AND OBJECTIVES: To explore and validate the clinical value of ultrasound (US) viscosity imaging in differentiating breast lesions by combining with BI-RADS, and then comparing the diagnostic performances with BI-RADS alone | ||
| 520 | |a MATERIALS AND METHODS: This multicenter, prospective study enrolled participants with breast lesions from June 2021 to November 2022. A development cohort (DC) and validation cohort (VC) were established. Using histological results as reference standard, the viscosity-related parameter with the highest area under the receiver operating curve (AUC) was selected as the optimal one. Then the original BI-RADS would upgrade or not based on the value of this parameter. Finally, the results were validated in the VC and total cohorts. In the DC, VC and total cohorts, all breast lesions were divided into the large lesion, small lesion and overall groups respectively | ||
| 520 | |a RESULTS: A total of 639 participants (mean age, 46 years ± 14) with 639 breast lesions (372 benign and 267 malignant lesions) were finally enrolled in this study including 392 participants in the DC and 247 in the VC. In the DC, the optimal viscosity-related parameter in differentiating breast lesions was calculated to be A'-S2-Vmax, with the AUC of 0.88 (95% CI: 0.84, 0.91). Using > 9.97 Pa.s as the cutoff value, the BI-RADS was then modified. The AUC of modified BI-RADS significantly increased from 0.85 (95% CI: 0.81, 0.88) to 0.91 (95% CI: 0.87, 0.93), 0.85 (95% CI: 0.80, 0.89) to 0.90 (95% CI: 0.85, 0.93) and 0.85 (95% CI: 0.82, 0.87) to 0.90 (95% CI: 0.88, 0.92) in the DC, VC and total cohorts respectively (P < .05 for all) | ||
| 520 | |a CONCLUSION: The quantitative viscous parameters evaluated by US viscosity imaging contribute to breast cancer diagnosis when combined with BI-RADS | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Breast neoplasms | |
| 650 | 4 | |a Elasticity | |
| 650 | 4 | |a Ultrasonogrphy | |
| 650 | 4 | |a Viscosity | |
| 700 | 1 | |a Xia, ShuJun |e verfasserin |4 aut | |
| 700 | 1 | |a Jia, XiaoHong |e verfasserin |4 aut | |
| 700 | 1 | |a Tang, BingHui |e verfasserin |4 aut | |
| 700 | 1 | |a Cheng, ShuZhen |e verfasserin |4 aut | |
| 700 | 1 | |a Nie, MeiYuan |e verfasserin |4 aut | |
| 700 | 1 | |a Guan, Ling |e verfasserin |4 aut | |
| 700 | 1 | |a Duan, Ying |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, MengYan |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Xia |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Hui |e verfasserin |4 aut | |
| 700 | 1 | |a Bai, BaoYan |e verfasserin |4 aut | |
| 700 | 1 | |a Jia, HaiYun |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Ning |e verfasserin |4 aut | |
| 700 | 1 | |a Yuan, CongCong |e verfasserin |4 aut | |
| 700 | 1 | |a Cai, EnHeng |e verfasserin |4 aut | |
| 700 | 1 | |a Dong, YiJie |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, JingWen |e verfasserin |4 aut | |
| 700 | 1 | |a Jia, Yi |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Juan |e verfasserin |4 aut | |
| 700 | 1 | |a Tang, ZhenYun |e verfasserin |4 aut | |
| 700 | 1 | |a Luo, Ting |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, XiaoXiao |e verfasserin |4 aut | |
| 700 | 1 | |a Zhan, WeiWei |e verfasserin |4 aut | |
| 700 | 1 | |a Zhu, Ying |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, JianQiao |e verfasserin |4 aut | |
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