Literature DB >> 20071116

Role of color Doppler indices in predicting disease-free survival of breast cancer patients during neoadjuvant chemotherapy.

Gurpreet Singh1, Pratik Kumar, Rajinder Parshad, Ashu Seith, Sanjay Thulkar, Norbert Hosten.   

Abstract

The aim of our study was to evaluate whether blood flow in locally advanced and inflammatory breast cancer before and after neoadjuvant chemotherapy using color Doppler ultrasonography can be used to monitor the response to therapy and identify possible correlations between survival and various Doppler indices. Fifty patients with breast cancer underwent Doppler evaluation of the tumor with determination of Doppler indices such as pulsatility index (PI), resistive index (RI), and peak systolic velocity (PSV). RI and PI decreased in 27 (54%) and 20 (40%) patients, respectively, and increased in 23 (46%) and 30 (60%) patients, respectively. Thirty (60%) patients showed a decrease in PSV and 20 (40%) patients an increase. Patients with an intratumoral blood flow velocity increase after chemotherapy had a greater likelihood of local recurrence and metastasis compared with patients in whom flow velocity decreased after chemotherapy. The study also confirmed a greater correlation between Doppler PSV and clinical assessment. Tumor flow velocity measured by Doppler ultrasound can be used as an independent marker of disease-free survival in patients with breast cancer. Copyright (c) 2009 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20071116     DOI: 10.1016/j.ejrad.2009.12.027

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  4 in total

Review 1.  Advances in molecular imaging for breast cancer detection and characterization.

Authors:  Jennifer M Specht; David A Mankoff
Journal:  Breast Cancer Res       Date:  2012-03-16       Impact factor: 6.466

2.  Assessment of early tumor response to cytotoxic chemotherapy with dynamic contrast-enhanced ultrasound in human breast cancer xenografts.

Authors:  Jian-Wei Wang; Wei Zheng; Ji-Bin Liu; Yao Chen; Long-Hui Cao; Rong-Zhen Luo; An-Hua Li; Jian-Hua Zhou
Journal:  PLoS One       Date:  2013-03-01       Impact factor: 3.240

3.  Association of sonographic features and molecular subtypes in predicting breast cancer disease outcomes.

Authors:  Haoyu Wang; Jiejie Yao; Ying Zhu; Weiwei Zhan; Xiaosong Chen; Kunwei Shen
Journal:  Cancer Med       Date:  2020-07-13       Impact factor: 4.452

4.  A Scoping Review of Non-invasive Imaging Modalities in Dermatological Disease: Potential Novel Biomarkers in Hidradenitis Suppurativa.

Authors:  David Grand; Kristina Navrazhina; John W Frew
Journal:  Front Med (Lausanne)       Date:  2019-11-06
  4 in total

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