Newswire (Published: Tuesday, August 18, 2020, Received: Tuesday, August 18, 2020, 4:18:31 PM CDT)

Word Count: 592

2020 AUG 18 (NewsRx) -- By a News Reporter-Staff News Editor at Cancer Daily -- Data detailed on Oncology - Prostate Cancer have been presented. According to news reporting originating in Los Angeles, California, by NewsRx journalists, research stated, “Microstructural MRI has the potential to improve diagnosis and characterization of prostate cancer (PCa), but validation with histopathology is lacking. To validate ex vivo diffusion-relaxation correlation spectrum imaging (DR-CSI) in the characterization of microstructural tissue compartments in prostate specimens from men with PCa by using registered whole-mount digital histopathology (WMHP) as the reference standard.”

Funders for this research include Integrated Diagnostics Program, Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Integrated Diagnostics Program, Department of Pathology, David Geffen School of Medicine, University of California, Los Angeles.

The news reporters obtained a quote from the research from the University of California Los Angeles (UCLA), “Men with PCa who underwent 3-T MRI and robotic-assisted radical prostatectomy between June 2018 and January 2019 were prospectively studied. After prostatectomy, the fresh whole prostate specimens were imaged in patient-specific three dimensionally printed molds by using 3-T MRI with DR-CSI and were then sliced to create coregistered WMHP slides. The DR-CSI spectral signal component fractions (f(A), f(B), f(C)) were compared with epithelial, stromal, and luminal area fractions (f(epithelium), f(stroma), f(lumen))quantified in PCa and benign tissue regions. A linear mixed-effects model assessed the correlations between (f(A), f(B), f(C)) and (f(epithelium),f(stroma), f(lumen)), and the strength of correlations was evaluated by using Spearman correlation coefficients. Differences between PCa andbenign tissues in terms of DR-CSI signal components and microscopic tissue compartments were assessed using two-sided t tests. Prostate specimens from nine men (mean age, 65 years +/- 7 [ standard deviation]) were evaluated; 20 regions from 17 PCas, along with 20 benign tissue regions of interest, were analyzed. Three DR-CSI spectral signal components (spectral peaks) were consistently identified. The f(A), f(B), and f(C )were correlated with f(epithelium), f(stroma), and f(lumen) (all P< .001), with Spearman correlation coefficients of 0.74 (95% confidence interval [CI]: 0.62, 0.83), 0.80 (95% CI: 0.66, 0.89), and 0.67 (95% CI: 0.51, 0.81),respectively.”

According to the news reporters, the research concluded: “PCa exhibited differences compared with benign tissues in terms of increased f(A) (PCa vs benign, 0.37 +/- 6 0.05 vs 0.27 +/- 0.06; P<.0.”

For more information on this research see: Prostate Microstructure In Prostate Cancer Using 3-t Mri With Diffusion-relaxation Correlation Spectrum Imaging: Validation With Whole-mount Digital Histopathology. Radiology, 2020;296(2):348-355. Radiology can be contacted at: Radiological Soc North America, 820 Jorie Blvd, Oak Brook, IL 60523, USA.

Our news correspondents report that additional information may be obtained by contacting Holden H. Wu, University of California Los Angeles (UCLA), Dept. of Radiological Sciences, David Geffen School of Medicine University of California Los Angeles (UCLA), 300 Ucla Med Plaza, Suite B119, Los Angeles, CA 90095, United States. Additional authors for this research include Zhaohuan Zhang, Sohrab Afshari Mirak, Sepideh Shakeri, Amirhossein Mohammadian Bajgiran, Melina Hosseiny, Afshin Azadikhah, Kyunghyun Sung, Steven Raman, Dieter R. Enzmann, Alan Priester, Robert E. Reiter, Clara Magyar and Anthony E. Sisk.

The direct object identifier (DOI) for that additional information is: This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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