eClinical Technology and Industy News

National Cancer Institute Prostate Cancer Screening Study Indicates QTscan® Has Equal or Better Sensitivity Than MRI

Excerpt from the Press Release:

NOVATO, Calif., July 28, 2022 /PRNewswire/ — QT Imaging, Inc., a medical device company focused on the development and clinical adoption of novel products for body imaging, today announced results of a National Cancer Institute study comparing the QTscan with 7-Tesla MRI for prostate cancer screening. In an initial series of 10 patients, blinded QT Imaging interpretation demonstrated equal or better sensitivity for detection of cancer compared with multi-parametric 7-Tesla MRI. The study was done in collaboration with the Urologic Oncology Branch, Center for Interventional Oncology National Cancer Institute, Bethesda, MD and the Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD.

On blinded sector-based analysis, QT’s low frequency transmitted ultrasound volography™ had a sensitivity of 85.7% and specificity of 93.9%, while mpMRI had a sensitivity of 65.3% and specificity of 96.6%. These results demonstrate that QT’s imaging technology has significant potential as a low-cost, high resolution imaging modality for prostate cancer.

From the Abstract: While multiparametric MRI (mpMRI) and targeted biopsy have improved detection of high-risk prostate cancer (PCa) over traditional B-mode gray scale ultrasound, use of mpMRI in the diagnostic pathway for PCa remains limited due to variability in image acquisition and interpretation, accessibility, and cost. Low frequency transmitted ultrasound volography, previously shown to have high sensitivity for the diagnosis of breast cancer, provides 360-degree submillimeter-resolution imaging for tissue characterization and cancer detection even in the presence of bone and air, and with limited view tomographic data. In this study, we sought to validate this technique for detection of prostate cancer by imaging ex vivo whole prostate specimens after radical prostatectomy, comparing lesion detection and visualization with low frequency transmitted ultrasound volography with mpMRI, and correlating imaging findings with wholemount histopathology.

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