Literature DB >> 29980324

Identification of pathological complete response after neoadjuvant chemotherapy for breast cancer: comparison of greyscale ultrasound, shear wave elastography, and MRI.

A Evans1, P Whelehan2, A Thompson3, C Purdie4, L Jordan4, J Macaskill5, S Henderson6, S Vinnicombe2.   

Abstract

AIM: To assess the value of post-treatment shear-wave elastography (SWE) parameters (maximum stiffness [Emax], mean stiffness [Emean], and standard deviation [SD]) compared to greyscale ultrasonography (US) and magnetic resonance imaging (MRI) in identifying pathological complete response (pCR) to neoadjuvant chemotherapy (NACT) in breast cancer.
MATERIALS AND METHODS: In a prospective cohort study, 80 patients receiving NACT for breast cancer underwent baseline and post-treatment US, SWE, and MRI examinations. Four SWE images in two orthogonal planes were obtained. Maximum greyscale US diameter and maximum diameter of lesion enhancement on MRI were measured. Percentage reductions between baseline and post-treatment scans were calculated for MRI and greyscale US diameter, and Emean, Emax, and SD. The percentage reduction in Emean and US diameter were also analysed as a combination. Analysis was undertaken using receiver operating characteristic (ROC) curves and the chi-squared test.
RESULTS: pCR occurred in 21 of 80 (26%) women. The area under the ROC curve (AUC) for pCR of percentage reductions in Emean, Emax, SD, and greyscale US diameter were 0.89, 0.85, 0.75, and 0.86, respectively. The combination of percentage reductions in Emean and greyscale ultrasound diameter yielded an AUC of 0.92, which is similar to the AUC for MRI of 0.96 (p=0.28).
CONCLUSIONS: SWE combined with greyscale US shows promise for end-of-treatment identification of response to NACT in women with breast cancer, with accuracies similar to breast MRI. This technique could be used to inform surgical decision-making after NACT.
Copyright © 2018 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 29980324     DOI: 10.1016/j.crad.2018.05.030

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  9 in total

1.  Evaluation of the Property of Axillary Lymph Nodes and Analysis of Lymph Node Metastasis Factors in Breast Cancer by Ultrasound Elastography.

Authors:  Jia Zhou; Qingyu Zhang; Qi Zhang; Lei Yan; Qing Gao
Journal:  Comput Math Methods Med       Date:  2022-06-03       Impact factor: 2.809

Review 2.  Advances in Imaging in Evaluating the Efficacy of Neoadjuvant Chemotherapy for Breast Cancer.

Authors:  Xianshu Kong; Qian Zhang; Xuemei Wu; Tianning Zou; Jiajun Duan; Shujie Song; Jianyun Nie; Chu Tao; Mi Tang; Maohua Wang; Jieya Zou; Yu Xie; Zhenhui Li; Zhen Li
Journal:  Front Oncol       Date:  2022-05-20       Impact factor: 5.738

3.  Accuracy of ultrasound elastography for predicting breast cancer response to neoadjuvant chemotherapy: A systematic review and meta-analysis.

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Journal:  World J Clin Cases       Date:  2022-04-16       Impact factor: 1.534

4.  Contrast enhanced ultrasound quantitative parameters for assessing neoadjuvant chemotherapy response in patients with locally advanced breast cancer.

Authors:  Anant Sharma; Shabnam Bhandari Grover; Chinta Mani; Charanjeet Ahluwalia
Journal:  Br J Radiol       Date:  2021-04-16       Impact factor: 3.039

5.  Machine learning-based diagnostic evaluation of shear-wave elastography in BI-RADS category 4 breast cancer screening: a multicenter, retrospective study.

Authors:  Yi Tang; Minjie Liang; Li Tao; Minjun Deng; Tianfu Li
Journal:  Quant Imaging Med Surg       Date:  2022-02

6.  Early assessment of shear wave elastography parameters foresees the response to neoadjuvant chemotherapy in patients with invasive breast cancer.

Authors:  Juanjuan Gu; Eric C Polley; Max Denis; Jodi M Carter; Sandhya Pruthi; Adriana V Gregory; Judy C Boughey; Robert T Fazzio; Mostafa Fatemi; Azra Alizad
Journal:  Breast Cancer Res       Date:  2021-04-29       Impact factor: 8.408

Review 7.  A Narrative Review of Ultrasound Technologies for the Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer.

Authors:  Jing Wang; Yanhua Chu; Baohua Wang; Tianan Jiang
Journal:  Cancer Manag Res       Date:  2021-10-14       Impact factor: 3.989

8.  Texture Analysis of Dynamic Contrast-Enhanced MRI in Evaluating Pathologic Complete Response (pCR) of Mass-Like Breast Cancer after Neoadjuvant Therapy.

Authors:  Kun Cao; Bo Zhao; Xiao-Ting Li; Yan-Ling Li; Ying-Shi Sun
Journal:  J Oncol       Date:  2019-12-26       Impact factor: 4.375

9.  Study on association between shear wave elastography parameters and clinicopathological characteristics in breast cancer: A protocol for systematic review.

Authors:  Hong-Hong Xue; Yuan-Yuan Wang
Journal:  Medicine (Baltimore)       Date:  2020-11-20       Impact factor: 1.817

  9 in total

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