Literature DB >> 23426278

Quantitative ultrasound evaluation of tumor cell death response in locally advanced breast cancer patients receiving chemotherapy.

Ali Sadeghi-Naini1, Naum Papanicolau, Omar Falou, Judit Zubovits, Rebecca Dent, Sunil Verma, Maureen Trudeau, Jean Francois Boileau, Jacqueline Spayne, Sara Iradji, Ervis Sofroni, Justin Lee, Sharon Lemon-Wong, Martin Yaffe, Michael C Kolios, Gregory J Czarnota.   

Abstract

PURPOSE: Quantitative ultrasound techniques have been recently shown to be capable of detecting cell death through studies conducted on in vitro and in vivo models. This study investigates for the first time the potential of early detection of tumor cell death in response to clinical cancer therapy administration in patients using quantitative ultrasound spectroscopic methods. EXPERIMENTAL
DESIGN: Patients (n = 24) with locally advanced breast cancer received neoadjuvant chemotherapy treatments. Ultrasound data were collected before treatment onset and at 4 times during treatment (weeks 1, 4, and 8, and preoperatively). Quantitative ultrasound parameters were evaluated for clinically responsive and nonresponding patients.
RESULTS: Results indicated that quantitative ultrasound parameters showed significant changes for patients who responded to treatment, and no similar alteration was observed in treatment-refractory patients. Such differences between clinically and pathologically determined responding and nonresponding patients were statistically significant (P < 0.05) after 4 weeks of chemotherapy. Responding patients showed changes in parameters related to cell death with, on average, an increase in mid-band fit and 0-MHz intercept of 9.1 ± 1.2 dBr and 8.9 ± 1.9 dBr, respectively, whereas spectral slope was invariant. Linear discriminant analysis revealed a sensitivity of 100% and a specificity of 83.3% for distinguishing nonresponding patients by the fourth week into a course of chemotherapy lasting several months.
CONCLUSION: This study reports for the first time that quantitative ultrasound spectroscopic methods can be applied clinically to evaluate cancer treatment responses noninvasively. The results form a basis for monitoring chemotherapy effects and facilitating the personalization of cancer treatment.

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Year:  2013        PMID: 23426278     DOI: 10.1158/1078-0432.CCR-12-2965

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  42 in total

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Authors:  Aiguo Han
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2018-06       Impact factor: 2.725

2.  Analysis of Two Quantitative Ultrasound Approaches.

Authors:  Pauline Muleki-Seya; Aiguo Han; Michael P Andre; John W Erdman; William D O'Brien
Journal:  Ultrason Imaging       Date:  2017-09-25       Impact factor: 1.578

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.  Tissue classification in intercostal and paravertebral ultrasound using spectral analysis of radiofrequency backscatter.

Authors:  Jon D Klingensmith; Asher L Haggard; Jack T Ralston; Beidi Qiang; Russell J Fedewa; Hesham Elsharkawy; David Geoffrey Vince
Journal:  J Med Imaging (Bellingham)       Date:  2019-11-07

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6.  Repeatability and Reproducibility of the Ultrasonic Attenuation Coefficient and Backscatter Coefficient Measured in the Right Lobe of the Liver in Adults With Known or Suspected Nonalcoholic Fatty Liver Disease.

Authors:  Aiguo Han; Michael P Andre; Lisa Deiranieh; Elise Housman; John W Erdman; Rohit Loomba; Claude B Sirlin; William D O'Brien
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Journal:  J Biophotonics       Date:  2019-08-05       Impact factor: 3.207

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

9.  Quantitative correlational study of microbubble-enhanced ultrasound imaging and magnetic resonance imaging of glioma and early response to radiotherapy in a rat model.

Authors:  Chen Yang; Dong-Hoon Lee; Antonella Mangraviti; Lin Su; Kai Zhang; Yin Zhang; Bin Zhang; Wenxiao Li; Betty Tyler; John Wong; Ken Kang-Hsin Wang; Esteban Velarde; Jinyuan Zhou; Kai Ding
Journal:  Med Phys       Date:  2015-08       Impact factor: 4.071

Review 10.  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

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