Literature DB >> 33510306

Multiparametric ultrasound examination for response assessment in breast cancer patients undergoing neoadjuvant therapy.

K Dobruch-Sobczak1,2, H Piotrzkowska-Wróblewska3, Z Klimonda3, P Karwat3, K Roszkowska-Purska4, P Clauser5, P A T Baltzer5, J Litniewski3.   

Abstract

To investigate the performance of multiparametric ultrasound for the evaluation of treatment response in breast cancer patients undergoing neoadjuvant chemotherapy (NAC). The IRB approved this prospective study. Breast cancer patients who were scheduled to undergo NAC were invited to participate in this study. Changes in tumour echogenicity, stiffness, maximum diameter, vascularity and integrated backscatter coefficient (IBC) were assessed prior to treatment and 7 days after four consecutive NAC cycles. Residual malignant cell (RMC) measurement at surgery was considered as standard of reference. RMC < 30% was considered a good response and > 70% a poor response. The correlation coefficients of these parameters were compared with RMC from post-operative histology. Linear Discriminant Analysis (LDA), cross-validation and Receiver Operating Characteristic curve (ROC) analysis were performed. Thirty patients (mean age 56.4 year) with 42 lesions were included. There was a significant correlation between RMC and echogenicity and tumour diameter after the 3rd course of NAC and average stiffness after the 2nd course. The correlation coefficient for IBC and echogenicity calculated after the first four doses of NAC were 0.27, 0.35, 0.41 and 0.30, respectively. Multivariate analysis of the echogenicity and stiffness after the third NAC revealed a sensitivity of 82%, specificity of 90%, PPV = 75%, NPV = 93%, accuracy = 88% and AUC of 0.88 for non-responding tumours (RMC > 70%). High tumour stiffness and persistent hypoechogenicity after the third NAC course allowed to accurately predict a group of non-responding tumours. A correlation between echogenicity and IBC was demonstrated as well.

Entities:  

Year:  2021        PMID: 33510306     DOI: 10.1038/s41598-021-82141-3

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  11 in total

Review 1.  Role of imaging in neoadjuvant therapy for breast cancer.

Authors:  Vandana Dialani; Tamuna Chadashvili; Priscilla J Slanetz
Journal:  Ann Surg Oncol       Date:  2015-03-02       Impact factor: 5.344

Review 2.  WFUMB guidelines and recommendations for clinical use of ultrasound elastography: Part 2: breast.

Authors:  Richard G Barr; Kazutaka Nakashima; Dominique Amy; David Cosgrove; Andre Farrokh; Fritz Schafer; Jeffrey C Bamber; Laurent Castera; Byung Ihn Choi; Yi-Hong Chou; Christoph F Dietrich; Hong Ding; Giovanna Ferraioli; Carlo Filice; Mireen Friedrich-Rust; Timothy J Hall; Kathryn R Nightingale; Mark L Palmeri; Tsuyoshi Shiina; Shinichi Suzuki; Ioan Sporea; Stephanie Wilson; Masatoshi Kudo
Journal:  Ultrasound Med Biol       Date:  2015-03-18       Impact factor: 2.998

Review 3.  Meta-analysis of magnetic resonance imaging in detecting residual breast cancer after neoadjuvant therapy.

Authors:  Michael L Marinovich; Nehmat Houssami; Petra Macaskill; Francesco Sardanelli; Les Irwig; Eleftherios P Mamounas; Gunter von Minckwitz; Meagan E Brennan; Stefano Ciatto
Journal:  J Natl Cancer Inst       Date:  2013-01-07       Impact factor: 13.506

4.  Ultrasound-based prediction of pathologic response to neoadjuvant chemotherapy in breast cancer patients.

Authors:  Annina Baumgartner; Christoph Tausch; Stefanie Hosch; Bärbel Papassotiropoulos; Zsuzsanna Varga; Christoph Rageth; Astrid Baege
Journal:  Breast       Date:  2018-03-07       Impact factor: 4.380

5.  Change in sonographic brightness can predict pathological response of triple-negative breast cancer to neoadjuvant chemotherapy.

Authors:  Naoko Matsuda; Kumiko Kida; Sachiko Ohde; Koyu Suzuki; Hideko Yamauchi; Seigo Nakamura; Hiroko Tsunoda
Journal:  Breast Cancer       Date:  2017-05-23       Impact factor: 4.239

6.  Non-invasive evaluation of breast cancer response to chemotherapy using quantitative ultrasonic backscatter parameters.

Authors:  Lakshmanan Sannachi; Hadi Tadayyon; Ali Sadeghi-Naini; William Tran; Sonal Gandhi; Frances Wright; Michael Oelze; Gregory Czarnota
Journal:  Med Image Anal       Date:  2014-11-25       Impact factor: 8.545

7.  Small-window parametric imaging based on information entropy for ultrasound tissue characterization.

Authors:  Po-Hsiang Tsui; Chin-Kuo Chen; Wen-Hung Kuo; King-Jen Chang; Jui Fang; Hsiang-Yang Ma; Dean Chou
Journal:  Sci Rep       Date:  2017-01-20       Impact factor: 4.379

8.  Monitoring Breast Cancer Response to Neoadjuvant Chemotherapy Using Ultrasound Strain Elastography.

Authors:  Jason Fernandes; Lakshmanan Sannachi; William T Tran; Alexander Koven; Elyse Watkins; Farnoosh Hadizad; Sonal Gandhi; Frances Wright; Belinda Curpen; Ahmed El Kaffas; Joanna Faltyn; Ali Sadeghi-Naini; Gregory Czarnota
Journal:  Transl Oncol       Date:  2019-06-18       Impact factor: 4.243

9.  Monitoring breast cancer response to neoadjuvant chemotherapy with ultrasound signal statistics and integrated backscatter.

Authors:  Hanna Piotrzkowska-Wróblewska; Katarzyna Dobruch-Sobczak; Ziemowit Klimonda; Piotr Karwat; Katarzyna Roszkowska-Purska; Magdalena Gumowska; Jerzy Litniewski
Journal:  PLoS One       Date:  2019-03-14       Impact factor: 3.240

10.  Can shear-wave elastography predict response to neoadjuvant chemotherapy in women with invasive breast cancer?

Authors:  A Evans; S Armstrong; P Whelehan; K Thomson; P Rauchhaus; C Purdie; L Jordan; L Jones; A Thompson; S Vinnicombe
Journal:  Br J Cancer       Date:  2013-10-29       Impact factor: 7.640

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  3 in total

1.  CT-ML: Diagnosis of Breast Cancer Based on Ultrasound Images and Time-Dependent Feature Extraction Methods Using Contourlet Transformation and Machine Learning.

Authors:  Behnam Hajipour Khire Masjidi; Soufia Bahmani; Fatemeh Sharifi; Mohammad Peivandi; Mohammad Khosravani; Adil Hussein Mohammed
Journal:  Comput Intell Neurosci       Date:  2022-05-24

2.  Why is endosonography insufficient for residual diagnosis after neoadjuvant therapy for esophageal cancer? Solutions using muscle layer evaluation.

Authors:  Shohei Yonemoto; Masaya Uesato; Akira Nakano; Kentaro Murakami; Takeshi Toyozumi; Tetsuro Maruyama; Hiroshi Suito; Tomohide Tamachi; Manami Kato; Shunsuke Kainuma; Keisuke Matsusaka; Hisahiro Matsubara
Journal:  World J Gastrointest Endosc       Date:  2022-05-16

3.  Unexpected hyperechoic lesions of the breast and their correlations with pathology: a pictorial essay.

Authors:  Seo Young Park; Jee Young Park; Ji Won Park; Won Hwa Kim; Ji Young Park; Hye Jung Kim
Journal:  Ultrasonography       Date:  2022-02-12
  3 in total

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