Literature DB >> 26650831

Ultrasound is at least as good as magnetic resonance imaging in predicting tumour size post-neoadjuvant chemotherapy in breast cancer.

Birgit E P J Vriens1, Bart de Vries2, Marc B I Lobbes3, Saskia M van Gastel4, Franchette W P J van den Berkmortel5, Tineke J Smilde6, Laurence J C van Warmerdam7, Maaike de Boer8, Dick Johan van Spronsen9, Marjolein L Smidt10, Petronella G M Peer11, Maureen J Aarts1, Vivianne C G Tjan-Heijnen12.   

Abstract

BACKGROUND: The aim of this study was to evaluate the accuracy of clinical imaging of the primary breast tumour post-neoadjuvant chemotherapy (NAC) related to the post-neoadjuvant histological tumour size (gold standard) and whether this varies with breast cancer subtype. In this study, results of both magnetic resonance imaging (MRI) and ultrasound (US) were reported.
METHODS: Patients with invasive breast cancer were enrolled in the INTENS study between 2006 and 2009. We included 182 patients, of whom data were available for post-NAC MRI (n=155), US (n=123), and histopathological tumour size.
RESULTS: MRI estimated residual tumour size with <10-mm discordance in 54% of patients, overestimated size in 28% and underestimated size in 18% of patients. With US, this was 63%, 20% and 17%, respectively. The negative predictive value in hormone receptor-positive tumours for both MRI and US was low, 26% and 33%, respectively. The median deviation in clinical tumour size as percentage of pathological tumour was 63% (P25=26, P75=100) and 49% (P25=22, P75=100) for MRI and US, respectively (P=0.06).
CONCLUSIONS: In this study, US was at least as good as breast MRI in providing information on residual tumour size post-neoadjuvant chemotherapy. However, both modalities suffered from a substantial percentage of over- and underestimation of tumour size and in addition both showed a low negative predictive value of pathologic complete remission (Gov nr: NCT00314977).
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast cancer; Magnetic resonance imaging (MRI); Neoadjuvant chemotherapy; Ultrasound (US)

Mesh:

Year:  2015        PMID: 26650831     DOI: 10.1016/j.ejca.2015.10.010

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  19 in total

1.  ASO Author Reflections: The Role of Imaging Modalities in Omitting Surgery in Breast Cancer Patients Receiving Neoadjuvant Chemotherapy.

Authors:  Frederik K Palshof; Niels Kroman; Tove Filtenborg Tvedskov
Journal:  Ann Surg Oncol       Date:  2021-05-22       Impact factor: 5.344

Review 2.  MRI Performance in Detecting pCR After Neoadjuvant Chemotherapy by Molecular Subtype of Breast Cancer.

Authors:  Nancy Yu; Vivian W Y Leung; Sarkis Meterissian
Journal:  World J Surg       Date:  2019-09       Impact factor: 3.352

3.  Radiomic signatures derived from multiparametric MRI for the pretreatment prediction of response to neoadjuvant chemotherapy in breast cancer.

Authors:  Tiantian Bian; Zengjie Wu; Qing Lin; Haibo Wang; Yaqiong Ge; Shaofeng Duan; Guangming Fu; Chunxiao Cui; Xiaohui Su
Journal:  Br J Radiol       Date:  2020-09-02       Impact factor: 3.039

4.  Quantitative Ultrasonography as a Tool for the Evaluation of Breast Tumor Response to Neoadjuvant Chemotherapy.

Authors:  Hanna Piotrzkowska-Wróblewska; Katarzyna Dobruch-Sobczak; Jerzy Litniewski
Journal:  J Ultrason       Date:  2022-04-27

5.  Comparison of strain and shear-wave ultrasounic elastography in predicting the pathological response to neoadjuvant chemotherapy in breast cancers.

Authors:  Yan Ma; Shuo Zhang; Jing Li; Jianyi Li; Ye Kang; Weidong Ren
Journal:  Eur Radiol       Date:  2016-10-17       Impact factor: 5.315

6.  Prediction of Pathologic Complete Response in Breast Cancer Patients Comparing Magnetic Resonance Imaging with Ultrasound in Neoadjuvant Setting.

Authors:  Frederik Knude Palshof; Charlotte Lanng; Niels Kroman; Cemil Benian; Ilse Vejborg; Anne Bak; Maj-Lis Talman; Eva Balslev; Tove Filtenborg Tvedskov
Journal:  Ann Surg Oncol       Date:  2021-05-27       Impact factor: 5.344

7.  Role of Magnetic Resonance Imaging in the Evaluation of Breast Cancer Response to Neoadjuvant Chemotherapy.

Authors:  Giorgia Pasquero; Alessandra Surace; Antonio Ponti; Massimiliano Bortolini; Donatella Tota; Maria Piera Mano; Riccardo Arisio; Chiara Benedetto; Maria Grazia Baù
Journal:  In Vivo       Date:  2020 Mar-Apr       Impact factor: 2.155

8.  A New Model Incorporating Axillary Ultrasound After Neoadjuvant Chemotherapy to Predict Non-Sentinel Lymph Node Metastasis in Invasive Breast Cancer.

Authors:  Kai Zhang; Qian Zhu; Danli Sheng; Jiawei Li; Cai Chang
Journal:  Cancer Manag Res       Date:  2020-02-10       Impact factor: 3.989

9.  The diagnostic performance of CESM and CE-MRI in evaluating the pathological response to neoadjuvant therapy in breast cancer: a systematic review and meta-analysis.

Authors:  Sudan Tang; Chunhong Xiang; Quan Yang
Journal:  Br J Radiol       Date:  2020-07-02       Impact factor: 3.039

10.  Morphological and pathological response in primary systemic therapy of patients with breast cancer and the prediction of disease free survival: a single center observational study.

Authors:  Gyongyver Szentmartoni; Anna-Maria Tokes; Timea Tokes; Krisztian Somlai; Attila Marcell Szasz; Laszlo Torgyík; Janina Kulka; Magdolna Dank
Journal:  Croat Med J       Date:  2016-04-23       Impact factor: 1.351

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