Literature DB >> 23366475

Quantitative ultrasound spectral parametric maps: early surrogates of cancer treatment response.

Ali Sadeghi-Naini1, Omar Falou, Gregory J Czarnota.   

Abstract

Textural characteristics of quantitative ultrasound spectral parametric maps have been proposed for the first time to predict cancer therapy response, early following treatment initiation. Such an early prediction can facilitate personalized medicine in cancer treatment procedures. Patients (n=10) with locally advanced breast cancer received neo-adjuvant chemotherapy, as "up-front" treatment, followed by mastectomy with axillary nodal clearance. Data collection consisted of acquiring tumor ultrasound radio-frequency data prior to neo-adjuvant treatment onset and at 4 times during treatment, in addition to pathological examinations of resected specimens after mastectomy. Several textural features were extracted from parametric maps of mid-band fit and 0-MHz intercept. The relative changes of these features were calculated one week after the treatment commenced, compared to the pre-treatment scan. Statistical analysis performed suggested that five of the applied textural features exhibit statistically significant differences between clinically/pathologically responding and non-responding patients. The promising results obtained represent a substantial step forward towards customizing cancer therapies by using this quantitative imaging modality. This can facilitate the switch of an ineffective treatment for a specific patient to a salvage therapy within weeks, instead of having patient endures months of the ineffective treatment.

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Year:  2012        PMID: 23366475     DOI: 10.1109/EMBC.2012.6346514

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  Conventional frequency ultrasonic biomarkers of cancer treatment response in vivo.

Authors:  Ali Sadeghi-Naini; Omar Falou; Hadi Tadayyon; Azza Al-Mahrouki; William Tran; Naum Papanicolau; Michael C Kolios; Gregory J Czarnota
Journal:  Transl Oncol       Date:  2013-06-01       Impact factor: 4.243

2.  Ultrasonic spectrum analysis for in vivo characterization of tumor microstructural changes in the evaluation of tumor response to chemotherapy using diagnostic ultrasound.

Authors:  Chun-yi Lin; Long-hui Cao; Jian-wei Wang; Wei Zheng; Yao Chen; Zi-zhen Feng; An-hua Li; Jian-hua Zhou
Journal:  BMC Cancer       Date:  2013-06-21       Impact factor: 4.430

3.  Quantitative ultrasound spectroscopic imaging for characterization of disease extent in prostate cancer patients.

Authors:  Ali Sadeghi-Naini; Ervis Sofroni; Naum Papanicolau; Omar Falou; Linda Sugar; Gerard Morton; Martin J Yaffe; Robert Nam; Alireza Sadeghian; Michael C Kolios; Hans T Chung; Gregory J Czarnota
Journal:  Transl Oncol       Date:  2015-02       Impact factor: 4.243

4.  Chemotherapy-Response Monitoring of Breast Cancer Patients Using Quantitative Ultrasound-Based Intra-Tumour Heterogeneities.

Authors:  Ali Sadeghi-Naini; Lakshmanan Sannachi; Hadi Tadayyon; William T Tran; Elzbieta Slodkowska; Maureen Trudeau; Sonal Gandhi; Kathleen Pritchard; Michael C Kolios; Gregory J Czarnota
Journal:  Sci Rep       Date:  2017-09-04       Impact factor: 4.379

5.  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

  5 in total

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