Comparison of synthesized and acquired high b-value diffusion-weighted MRI for detection of prostate cancer.

Autor: Kallis K; Department of Radiation Medicine and Applied Sciences, University of California San Diego Health, La Jolla, CA, USA., Conlin CC; Department of Radiology, University of California San Diego Health, La Jolla, San Diego, CA, USA., Zhong AY; Department of Radiation Medicine and Applied Sciences, University of California San Diego Health, La Jolla, CA, USA., Hussain TS; Department of Radiation Medicine and Applied Sciences, University of California San Diego Health, La Jolla, CA, USA., Chatterjee A; Department of Radiology, University of Chicago, Chicago, IL, USA.; Sanford J. Grossmann Center of Excellence in Prostate Imaging and Image Guided Therapy, University of Chicago, Chicago, IL, USA., Karczmar GS; Department of Radiology, University of Chicago, Chicago, IL, USA.; Sanford J. Grossmann Center of Excellence in Prostate Imaging and Image Guided Therapy, University of Chicago, Chicago, IL, USA., Rakow-Penner R; Department of Radiology, University of California San Diego Health, La Jolla, San Diego, CA, USA., Dale AM; Department of Radiology, University of California San Diego Health, La Jolla, San Diego, CA, USA.; Department of Neurosciences, University of California San Diego Health, La Jolla, San Diego, CA, USA.; Halıcıoğlu Data Science Institute, University of California San Diego, La Jolla, San Diego, CA, USA., Seibert TM; Department of Radiology, University of California San Diego Health, La Jolla, San Diego, CA, USA. tseibert@health.ucsd.edu.; Department of Radiation Medicine and Applied Sciences, University of California San Diego Health, La Jolla, CA, USA. tseibert@health.ucsd.edu.; Department of Bioengineering, University of California San Diego Jacobs School of Engineering, La Jolla, San Diego, CA, USA. tseibert@health.ucsd.edu.
Jazyk: angličtina
Zdroj: Cancer imaging : the official publication of the International Cancer Imaging Society [Cancer Imaging] 2024 Jul 08; Vol. 24 (1), pp. 89. Date of Electronic Publication: 2024 Jul 08.
DOI: 10.1186/s40644-024-00723-6
Abstrakt: Background: High b-value diffusion-weighted images (DWI) are used for detection of clinically significant prostate cancer (csPCa). This study qualitatively and quantitatively compares synthesized DWI (sDWI) to acquired (aDWI) for detection of csPCa.
Methods: One hundred fifty-one consecutive patients who underwent prostate MRI and biopsy were included in the study. Axial DWI with b = 0, 500, 1000, and 2000 s/mm 2 using a 3T clinical scanner using a 32-channel phased-array body coil were acquired. We retrospectively synthesized DWI for b = 2000 s/mm 2 via extrapolation based on mono-exponential decay, using b = 0 and b = 500 s/mm 2 (sDWI 500 ) and b = 0, b = 500 s/mm 2 , and b = 1000 s/mm 2 (sDWI 1000 ). Differences in signal intensity between sDWI and aDWI were evaluated within different regions of interest (prostate alone, prostate plus 5 mm, 30 mm and 70 mm margin and full field of view). The maximum DWI value within each ROI was evaluated for prediction of csPCa. Classification accuracy was compared to Restriction Spectrum Imaging restriction score (RSIrs), a previously validated biomarker based on multi-exponential DWI. Discrimination of csPCa was evaluated via area under the receiver operating characteristic curve (AUC).
Results: Within the prostate, mean ± standard deviation of percent mean differences between sDWI and aDWI signal were -46 ± 35% for sDWI 1000 and -67 ± 24% for sDWI 500 . AUC for aDWI, sDWI 500, sDWI 1000 , and RSIrs within the prostate 0.62[95% confidence interval: 0.53, 0.71], 0.63[0.54, 0.72], 0.65[0.56, 0.73] and 0.78[0.71, 0.86], respectively.
Conclusion: sDWI is qualitatively comparable to aDWI within the prostate. However, hyperintense artifacts are introduced with sDWI in the surrounding pelvic tissue that interfere with quantitative cancer detection and might mask metastases. In the prostate, RSIrs yields superior quantitative csPCa detection than sDWI or aDWI.
(© 2024. The Author(s).)
Databáze: MEDLINE
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