RATIONALE AND OBJECTIVES: To assess the prostate T2 value as a predictor of malignancy on two different 3T scanners.
PATIENTS AND METHODS: Eighty-three pre-prostatectomy multiparametric MRIs were retrospectively evaluated [67 obtained on a General Electric MRI (scanner 1) and 16 on a Philips MRI (scanner 2)]. After correlation with prostatectomy specimens, readers measured the T2 value of regions-of-interest categorized as "cancers", "false positive lesions", or "normal tissue".
RESULTS: On scanner 1, in PZ, cancers had significantly lower T2 values than false positive lesions (P=0.02) and normal tissue (P=2×10-9). Gleason≥6 cancers had similar T2 values than false positive lesions and significantly higher T2 values than Gleason ≥7 cancers (P=0.009). T2 values corresponding to a 25% and 75% risk of Gleason ≥7 malignancy were respectively 132ms (95% CI: 129-135ms) and 77ms (95% CI: 74-81ms). In TZ, cancers had significantly lower T2 values than normal tissue (P=0.008), but not than false positive findings. Mean T2 values measured on scanner 2 were not significantly different than those measured on scanner 1 for all tissue classes.
CONCLUSION: All tested tissue classes had similar mean T2 values on both scanners. In PZ, the T2 value was a significant predictor of Gleason ≥7 cancers.
Hoang Dinh A, Souchon R, Melodelima C, Bratan F, Mège-Lechevallier F, Colombel M, Rouvière O. Are you the author?
Inserm, U1032, LabTau, Lyon 69003, France; Université Joseph-Fourier, laboratoire d'écologie Alpine, BP 53, Grenoble 38041, France; CNRS, UMR 5553, BP 53, Grenoble 38041, France; Hospices civils de Lyon, department of urinary and vascular radiology, hôpital Édouard-Herriot, Lyon 69437, France; Université de Lyon, Lyon 69003, France; Université Lyon 1, faculté de médecine Lyon Est, Lyon 69003, France; Hospices civils de Lyon, department of pathology, hôpital Édouard-Herriot, Lyon, 69437, France; Université de Lyon, Lyon 69003, France; Hospices civils de Lyon, department of urology, hôpital Édouard-Herriot, Lyon, 69437, France; Université de Lyon, Lyon 69003, France.
Reference: Diagn Interv Imaging. 2014 Dec 23. pii: S2211-5684(14)00316-7.