Literature DB >> 34150025

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

Deepa Sharma1,2,3, Laurentius Oscar Osapoetra1,2,3, Mateusz Faltyn1, Natalie Ngoc Anh Do1, Anoja Giles1, Martin Stanisz1, Lakshmanan Sannachi1,2,3, Gregory J Czarnota1,2,3.   

Abstract

Quantitative ultrasound (QUS) is a non-invasive imaging modality that permits the detection of tumor response following various cancer therapies. Based on ultrasound signal scattering from the biological system, scatterer size, and concentration of microscopic scatterers, QUS enables the rapid characterization of tumor cell death. In this study, tumor response to ultrasound-stimulated microbubbles (USMB) and hyperthermia (HT) in tumor-bearing mice, with prostate cancer xenografts (PC3), was examined using QUS. Treatment conditions included 1% (v/v) Definity microbubbles stimulated at ultrasound pressures (0, 246, and 570 kPa) and HT treatment (0, 10, 40, and 50 minutes). Three ultrasound backscatter parameters, mid-band fit (MBF), 0-MHz spectral intercept (SI), and spectral slope (SS) were estimated prior to, and 24 hours after treatment. Additionally, histological assessment of tumor cell death and tissue microstructural changes was used to complement the results obtained from ultrasound data. Results demonstrated a significant increase in QUS parameters (MBF and SI) followed combined USMB and HT treatment (P<0.05). In contrast, the backscatter parameters from the control (untreated) group, and USMB only group showed minimal changes (P>0.05). Furthermore, histological data demonstrated increased cell death and prominent changes in cellular and tissue structure, nucleus size, and subcellular constituent orientation followed combined treatments. The findings suggested that QUS parameters derived from the ultrasound backscattered power spectrum may be used to detect HT treatment effects in prostate cancer tumors in vivo. AJTR
Copyright © 2021.

Entities:  

Keywords:  Cell death; and ultrasound-stimulated microbubbles; hyperthermia; quantitative ultrasound

Year:  2021        PMID: 34150025      PMCID: PMC8205668     

Source DB:  PubMed          Journal:  Am J Transl Res        ISSN: 1943-8141            Impact factor:   4.060


  32 in total

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Journal:  Oncogene       Date:  2004-04-12       Impact factor: 9.867

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Journal:  Ultrason Imaging       Date:  1990-10       Impact factor: 1.578

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Authors:  Priya Weerasinghe; L Maximilian Buja
Journal:  Exp Mol Pathol       Date:  2012-10-01       Impact factor: 3.362

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

Authors:  Lakshmanan Sannachi; Hadi Tadayyon; Ali Sadeghi-Naini; William Tran; Sonal Gandhi; Frances Wright; Michael Oelze; Gregory Czarnota
Journal:  Med Image Anal       Date:  2014-11-25       Impact factor: 8.545

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Journal:  Neurosci Lett       Date:  1998-01-16       Impact factor: 3.046

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

Authors:  Ali Sadeghi-Naini; 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
Journal:  Clin Cancer Res       Date:  2013-02-20       Impact factor: 12.531

7.  Quantitative ultrasound characterization of responses to radiotherapy in cancer mouse models.

Authors:  Roxana M Vlad; Sebastian Brand; Anoja Giles; Michael C Kolios; Gregory J Czarnota
Journal:  Clin Cancer Res       Date:  2009-03-10       Impact factor: 12.531

8.  High-frequency ultrasound detection of cell death: Spectral differentiation of different forms of cell death in vitro.

Authors:  Maurice M Pasternak; Ali Sadeghi-Naini; Shawn M Ranieri; Anoja Giles; Michael L Oelze; Michael C Kolios; Gregory J Czarnota
Journal:  Oncoscience       Date:  2016-09-12

9.  Quantitative ultrasound imaging of therapy response in bladder cancer in vivo.

Authors:  William T Tran; Lakshmanan Sannachi; Naum Papanicolau; Hadi Tadayyon; Azza Al Mahrouki; Ahmed El Kaffas; Alborz Gorjizadeh; Justin Lee; Gregory J Czarnota
Journal:  Oncoscience       Date:  2016-04-18

10.  Breast-Lesion Characterization using Textural Features of Quantitative Ultrasound Parametric Maps.

Authors:  Ali Sadeghi-Naini; Harini Suraweera; William Tyler Tran; Farnoosh Hadizad; Giancarlo Bruni; Rashin Fallah Rastegar; Belinda Curpen; Gregory J Czarnota
Journal:  Sci Rep       Date:  2017-10-20       Impact factor: 4.379

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  1 in total

Review 1.  Ultrasound and Nanomedicine for Cancer-Targeted Drug Delivery: Screening, Cellular Mechanisms and Therapeutic Opportunities.

Authors:  Chien-Hsiu Li; Yu-Chan Chang; Michael Hsiao; Ming-Hsien Chan
Journal:  Pharmaceutics       Date:  2022-06-16       Impact factor: 6.525

  1 in total

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