Literature DB >> 27503826

Inter- and Intra-Observer Agreement in Ultrasound BI-RADS Classification and Real-Time Elastography Tsukuba Score Assessment of Breast Lesions.

Fabienne Schwab1, Katharina Redling1, Matthias Siebert1, Andy Schötzau2, Cora-Ann Schoenenberger3, Rosanna Zanetti-Dällenbach4.   

Abstract

Our aim was to prospectively evaluate inter- and intra-observer agreement between Breast Imaging Reporting and Data System (BI-RADS) classifications and Tsukuba elasticity scores (TSs) of breast lesions. The study included 164 breast lesions (63 malignant, 101 benign). The BI-RADS classification and TS of each breast lesion was assessed by the examiner and twice by three reviewers at an interval of 2 months. Weighted κ values for inter-observer agreement ranged from moderate to substantial for BI-RADS classification (κ = 0.585-0.738) and was substantial for TS (κ = 0.608-0.779). Intra-observer agreement was almost perfect for ultrasound (US) BI-RADS (κ = 0.847-0.872) and TS (κ = 0.879-0.914). Overall, individual reviewers are highly self-consistent (almost perfect intra-observer agreement) with respect to BI-RADS classification and TS, whereas inter-observer agreement was moderate to substantial. Comprehensive training is essential for achieving high agreement and minimizing the impact of subjectivity. Our results indicate that breast US and real-time elastography can achieve high diagnostic performance.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  BI-RADS; Breast Imaging Reporting and Data System; Breast elastography; Breast ultrasound; Inter-observer agreement; Intra-observer agreement; Tsukuba score

Mesh:

Year:  2016        PMID: 27503826     DOI: 10.1016/j.ultrasmedbio.2016.06.017

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  7 in total

1.  Effect of training on ultrasonography (US) BI-RADS features for radiology residents: a multicenter study comparing performances after training.

Authors:  Jung Hyun Yoon; Hye Sun Lee; You Me Kim; Ji Hyun Youk; Sung Hun Kim; Sun Hye Jeong; Ji Young Hwang; Jin Hee Moon; Young Mi Park; Min Jung Kim
Journal:  Eur Radiol       Date:  2019-01-07       Impact factor: 5.315

2.  Comparing deep learning-based automatic segmentation of breast masses to expert interobserver variability in ultrasound imaging.

Authors:  Jeremy M Webb; Shaheeda A Adusei; Yinong Wang; Naziya Samreen; Kalie Adler; Duane D Meixner; Robert T Fazzio; Mostafa Fatemi; Azra Alizad
Journal:  Comput Biol Med       Date:  2021-10-21       Impact factor: 4.589

3.  Comprehensive Risk System Based on Shear Wave Elastography and BI-RADS Categories in Assessing Axillary Lymph Node Metastasis of Invasive Breast Cancer-A Multicenter Study.

Authors:  Huiting Zhang; Yijie Dong; Xiaohong Jia; Jingwen Zhang; Zhiyao Li; Zhirui Chuan; Yanjun Xu; Bin Hu; Yunxia Huang; Cai Chang; Jinfeng Xu; Fajin Dong; Xiaona Xia; Chengrong Wu; Wenjia Hu; Gang Wu; Qiaoying Li; Qin Chen; Wanyue Deng; Qiongchao Jiang; Yonglin Mou; Huannan Yan; Xiaojing Xu; Hongju Yan; Ping Zhou; Yang Shao; Ligang Cui; Ping He; Linxue Qian; Jinping Liu; Liying Shi; Yanan Zhao; Yongyuan Xu; Yanyan Song; Weiwei Zhan; Jianqiao Zhou
Journal:  Front Oncol       Date:  2022-03-10       Impact factor: 6.244

4.  A National Chinese Survey on Ultrasound Feature Interpretation and Risk Assessment of Breast Masses Under ACR BI-RADS.

Authors:  Wen Wen; Jingyan Liu; Junren Wang; Heng Jiang; Yulan Peng
Journal:  Cancer Manag Res       Date:  2021-12-11       Impact factor: 3.989

5.  Differing benefits of artificial intelligence-based computer-aided diagnosis for breast US according to workflow and experience level.

Authors:  Si Eun Lee; Kyunghwa Han; Ji Hyun Youk; Jee Eun Lee; Ji-Young Hwang; Miribi Rho; Jiyoung Yoon; Eun-Kyung Kim; Jung Hyun Yoon
Journal:  Ultrasonography       Date:  2022-03-30

6.  Agreement in breast lesion assessment and final BI-RADS classification between radial and meander-like breast ultrasound.

Authors:  Pascale Brasier-Lutz; Claudia Jäggi-Wickes; Sabine Schaedelin; Rosemarie Burian; Cora-Ann Schoenenberger; Rosanna Zanetti-Dällenbach
Journal:  BMC Med Imaging       Date:  2021-06-22       Impact factor: 1.930

7.  Interobserver and intermethod variability in data interpretation of breast strain elastography in suspicious breast lesions

Authors:  Hale Turnaoğlu; Kemal Murat Haberal; Serdar Arslan; Meriç Yavuz Çolak; Funda Ulu Öztürk; Nihal Uslu
Journal:  Turk J Med Sci       Date:  2021-04-30       Impact factor: 0.973

  7 in total

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