Literature DB >> 25534283

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

Lakshmanan Sannachi1, Hadi Tadayyon1, Ali Sadeghi-Naini1, William Tran2, Sonal Gandhi3, Frances Wright4, Michael Oelze5, Gregory Czarnota6.   

Abstract

Tumor response to neoadjuvant chemotherapy in patients (n=30) with locally advanced breast cancer (LABC) was examined using quantitative ultrasound. Three ultrasound backscatter parameters, the integrated backscatter coefficient (IBC), average scatterer diameter (ASD), and average acoustic concentration (AAC), were estimated from tumors prior to treatment and at four times during neoadjuvant chemotherapy treatment (weeks 0, 1, 4, 8, and prior to surgery) and compared to ultimate clinical and pathological tumor responses. Results demonstrated that among all parameters, AAC was the best indicator of tumor response early after starting treatment. The AAC parameter increased substantially in treatment-responding patients as early as one week after treatment initiation, further increased at week 4, and attained a maximum at week 8. In contrast, the backscatter parameters from non-responders did not show any changes after treatment initiation. The two patient populations exhibited a statistically significant difference in changes of AAC (p<0.001) and ASD (p=0.023) over all treatment times examined. The best prediction of treatment response was achieved with the combination of AAC and ASD at week 4 (82% sensitivity, 100% specificity, and 86% accuracy) of 12-18 weeks of treatment. The survival of patients with responsive ultrasound parameters was higher than patients with non-responsive ultrasound parameters (35 ± 11 versus 27 ± 11 months, respectively, p=0.043). This study demonstrates that ultrasound parameters derived from the ultrasound backscattered power spectrum can potentially serve as non-invasive early measures of clinical tumor response to chemotherapy treatments. Crown
Copyright © 2014. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast cancer; Chemotherapy; Clinical response; Quantitative ultrasound; Scattering property

Mesh:

Year:  2014        PMID: 25534283     DOI: 10.1016/j.media.2014.11.009

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  37 in total

1.  Effects of acoustic nonlinearities on the ultrasonic backscatter coefficient estimation.

Authors:  Andres Coila; Michael L Oelze
Journal:  J Acoust Soc Am       Date:  2019-07       Impact factor: 1.840

2.  Estimation of Backscatter Coefficients Using an In Situ Calibration Source.

Authors:  Trong N Nguyen; Alex J Tam; Minh N Do; Michael L Oelze
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2019-09-27       Impact factor: 2.725

3.  Response monitoring of breast cancer patients receiving neoadjuvant chemotherapy using quantitative ultrasound, texture, and molecular features.

Authors:  Lakshmanan Sannachi; Mehrdad Gangeh; Hadi Tadayyon; Ali Sadeghi-Naini; Sonal Gandhi; Frances C Wright; Elzbieta Slodkowska; Belinda Curpen; William Tran; Gregory J Czarnota
Journal:  PLoS One       Date:  2018-01-03       Impact factor: 3.240

4.  A Quantitative Ultrasound-Based Multi-Parameter Classifier for Breast Masses.

Authors:  Haidy G Nasief; Ivan M Rosado-Mendez; James A Zagzebski; Timothy J Hall
Journal:  Ultrasound Med Biol       Date:  2019-04-26       Impact factor: 2.998

5.  Quantitative ultrasound and apoptotic death in the neonatal primate brain.

Authors:  Ivan M Rosado-Mendez; Kevin K Noguchi; Laura Castañeda-Martinez; George Kirvassilis; Sophie H Wang; Francesca Manzella; Brant S Swiney; Kobe Masuoka; Saverio Capuano; Kevin G Brunner; Kristin Crosno; Quinton W Guerrero; Hayley Whitson; Ansgar Brambrink; Heather S Simmons; Andres F Mejia; James A Zagzebski; Timothy J Hall; Chrysanthy Ikonomidou
Journal:  Neurobiol Dis       Date:  2019-04-02       Impact factor: 5.996

6.  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

Review 7.  Review of quantitative multiscale imaging of breast cancer.

Authors:  Michael A Pinkert; Lonie R Salkowski; Patricia J Keely; Timothy J Hall; Walter F Block; Kevin W Eliceiri
Journal:  J Med Imaging (Bellingham)       Date:  2018-01-22

8.  Quantitative ultrasound characterization of therapy response in prostate cancer in vivo.

Authors:  Deepa Sharma; Laurentius Oscar Osapoetra; Mateusz Faltyn; Natalie Ngoc Anh Do; Anoja Giles; Martin Stanisz; Lakshmanan Sannachi; Gregory J Czarnota
Journal:  Am J Transl Res       Date:  2021-05-15       Impact factor: 4.060

Review 9.  Review of Quantitative Ultrasound: Envelope Statistics and Backscatter Coefficient Imaging and Contributions to Diagnostic Ultrasound.

Authors:  Michael L Oelze; Jonathan Mamou
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2016-01-08       Impact factor: 2.725

10.  Characterizing intra-tumor regions on quantitative ultrasound parametric images to predict breast cancer response to chemotherapy at pre-treatment.

Authors:  Hamidreza Taleghamar; Hadi Moghadas-Dastjerdi; Gregory J Czarnota; Ali Sadeghi-Naini
Journal:  Sci Rep       Date:  2021-07-21       Impact factor: 4.379

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