Literature DB >> 28536943

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

Naoko Matsuda1, Kumiko Kida2, Sachiko Ohde3, Koyu Suzuki4, Hideko Yamauchi2, Seigo Nakamura5, Hiroko Tsunoda6.   

Abstract

INTRODUCTION: Ultrasound (US) is conventionally performed to determine effects of neoadjuvant chemotherapy (NAC) on breast cancer. In patients with triple-negative breast cancer (TNBC), higher pathological complete response (pCR) predicts the most favorable survival outcome. We aimed to predict pCR to NAC using echogenicity changes in US region of interest (ROI) in patients with TNBC. METHODS AND MATERIALS: We retrospectively determined clinicopathological characteristics of 52 patients with primary TNBC who underwent NAC. Changes in echogenicity for pCR and non-pCR patients were calculated from ratios of tumor to fat (T/F) in their ROIs, before and after NAC, as [T/F After/T/F Before] and [T/F After - T/F Before].
RESULTS: Of the 52 patients (median age: 52 years; range 26-77 years), 20 (38.5%) achieved pCR, which was significantly associated with change in ROI ratio (P < 0.01). The cut-off values for ROI ratio and ROI difference were 0.8 and 0.3. Sensitivity and specificity were 73.7 and 81.8% for ROI ratio, and 70.0 and 81.3% for ROI difference. Area under the curves (AUCs) for ROI ratio and ROI difference were 0.80 [95% confidence interval (CI) 0.67-0.92] and 0.78 (95% CI 0.64-0.92), respectively.
CONCLUSION: Quantification of echogenic changes by converting absolute values of tumor and fat regions can predict pCR and individual differences between tumors after NAC in patients with TNBC.

Entities:  

Keywords:  Echogenicity; Neoadjuvant chemotherapy; Pathological complete response; Triple-negative breast cancer; Ultrasound

Mesh:

Year:  2017        PMID: 28536943     DOI: 10.1007/s12282-017-0782-z

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  5 in total

1.  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

2.  Prediction of treatment responses to neoadjuvant chemotherapy in breast cancer using contrast-enhanced ultrasound.

Authors:  Yunxia Huang; Jian Le; Aiyu Miao; Wenxiang Zhi; Fen Wang; Yaling Chen; Shichong Zhou; Cai Chang
Journal:  Gland Surg       Date:  2021-04

3.  Early Assessment Window for Predicting Breast Cancer Neoadjuvant Therapy using Biomarkers, Ultrasound, and Diffuse Optical Tomography.

Authors:  Quing Zhu; Foluso O Ademuyiwa; Catherine Young; Catherine Appleton; Matthew F Covington; Cynthia Ma; Souzan Sanati; Ian S Hagemann; Atahar Mostafa; K M Shihab Uddin; Isabella Grigsby; Ashley E Frith; Leonel F Hernandez-Aya; Steven S Poplack
Journal:  Breast Cancer Res Treat       Date:  2021-05-10       Impact factor: 4.872

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

Authors:  K Dobruch-Sobczak; H Piotrzkowska-Wróblewska; Z Klimonda; P Karwat; K Roszkowska-Purska; P Clauser; P A T Baltzer; J Litniewski
Journal:  Sci Rep       Date:  2021-01-28       Impact factor: 4.379

Review 5.  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

  5 in total

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