OBJECTIVE: The purpose of our study was to investigate whether fast and slow components of the apparent diffusion coefficient (ADC) from diffusion-weighted MR images could predict prostate cancer progression in patients managed by active surveillance. SUBJECTS AND METHODS: Eighty-one patients managed by active surveillance underwent diffusion-weighted MRI in addition to T2-weighted MRI using an endorectal technique. ADCs from tumor regions of interest were calculated using all b values (ADC(all)), b = 0-300 s/mm(2) (ADC(fast)), and b = 300-800 s/mm(2) (ADC(slow)). These parameters and tumor volumes were compared in those upgraded at subsequent biopsy (n = 14) versus those histologically stable (n = 41) and in evaluable patients who progressed to radical treatment (n = 16) versus those who did not (n = 64). Cox's regression was used to analyze the effect of parameter mean on time to treatment. RESULTS: ADC(all), ADC(fast), and ADC(slow) in patients upgraded on repeat biopsy were significantly lower than those who were stable (1,070 ± 110 vs 1,356 ± 357 × 10(-6)mm(2)/s, p < 0.001; 1,283 ± 188 vs 1,526 ± 397 × 10(-6)mm(2)/s, p = 0.004; 843 ± 74 vs 1,105 ± 285 × 10(-6) mm(2)/s, p < 0.001, respectively). Tumor volume was significantly higher in the upgraded group (0.86 ± 0.9 vs 0.26 ± 0.25 cm(3), p = 0.02). The lower ADC(slow) in patients who subsequently progressed to radical treatment approached significance (922 ± 256 vs 1,054 ± 235 × 10(-6) mm(2)/s, p = 0.053; hazard ratio, 0.991 for time to treatment). Tumor volume was significantly higher in the treated group (0.86 ± 0.85 cm(3) vs 0.32 ± 0.33 cm(3), p = 0.02). ADC(slow) and tumor volume were significant but independent predictors of upgrade on biopsy (p = 0.01 and 0.002, respectively). CONCLUSION: Both fast and slow diffusion components were significantly lower in tumors that were subsequently upgraded on histology. Both tumor volume and the true diffusion ADC(slow) were significant but independent predictors of histologic progression.
OBJECTIVE: The purpose of our study was to investigate whether fast and slow components of the apparent diffusion coefficient (ADC) from diffusion-weighted MR images could predict prostate cancer progression in patients managed by active surveillance. SUBJECTS AND METHODS: Eighty-one patients managed by active surveillance underwent diffusion-weighted MRI in addition to T2-weighted MRI using an endorectal technique. ADCs from tumor regions of interest were calculated using all b values (ADC(all)), b = 0-300 s/mm(2) (ADC(fast)), and b = 300-800 s/mm(2) (ADC(slow)). These parameters and tumor volumes were compared in those upgraded at subsequent biopsy (n = 14) versus those histologically stable (n = 41) and in evaluable patients who progressed to radical treatment (n = 16) versus those who did not (n = 64). Cox's regression was used to analyze the effect of parameter mean on time to treatment. RESULTS: ADC(all), ADC(fast), and ADC(slow) in patients upgraded on repeat biopsy were significantly lower than those who were stable (1,070 ± 110 vs 1,356 ± 357 × 10(-6)mm(2)/s, p < 0.001; 1,283 ± 188 vs 1,526 ± 397 × 10(-6)mm(2)/s, p = 0.004; 843 ± 74 vs 1,105 ± 285 × 10(-6) mm(2)/s, p < 0.001, respectively). Tumor volume was significantly higher in the upgraded group (0.86 ± 0.9 vs 0.26 ± 0.25 cm(3), p = 0.02). The lower ADC(slow) in patients who subsequently progressed to radical treatment approached significance (922 ± 256 vs 1,054 ± 235 × 10(-6) mm(2)/s, p = 0.053; hazard ratio, 0.991 for time to treatment). Tumor volume was significantly higher in the treated group (0.86 ± 0.85 cm(3) vs 0.32 ± 0.33 cm(3), p = 0.02). ADC(slow) and tumor volume were significant but independent predictors of upgrade on biopsy (p = 0.01 and 0.002, respectively). CONCLUSION: Both fast and slow diffusion components were significantly lower in tumors that were subsequently upgraded on histology. Both tumor volume and the true diffusion ADC(slow) were significant but independent predictors of histologic progression.
Authors: Kolja M Thierfelder; Michael K Scherr; Mike Notohamiprodjo; Jakob Weiß; Olaf Dietrich; Ullrich G Mueller-Lisse; Josef Pfeuffer; Konstantin Nikolaou; Daniel Theisen Journal: Eur Radiol Date: 2014-08-27 Impact factor: 5.315
Authors: Robert R Flavell; Antonio C Westphalen; Carmin Liang; Christopher C Sotto; Susan M Noworolski; Daniel B Vigneron; Zhen J Wang; John Kurhanewicz Journal: Abdom Imaging Date: 2014-10