Prostate cancer: correlation of intravoxel incoherent motion MR parameters with Gleason score

Yang, Dal Mo; Kim, Hyun Cheol; Kim, Sang Won; Jahng, Geon‐Ho; Won, Kyu Yeoun; Lim, Sung Jig; Oh, Jeong-Ik

doi:10.1016/j.clinimag.2016.01.001

Cited by 23 publications

(27 citation statements)

References 35 publications

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“…One previous study demonstrated that the ADC and ADC slow were higher in low‐grade gliomas than high‐grade gliomas, as the tumor cellularity was associated with the tumor grade; high cellularity often correlated with high‐grade gliomas. Our results are consistent with findings from previous studies in tumors elsewhere in the body . Furthermore, the numerical values of ADC were greater than ADC slow in each group; this was because the ADC slow was derived from the biexponential model and can eliminate the interference of perfusion and maintain the true diffusion.…”

Section: Discussionsupporting

confidence: 92%

“…Our results are consistent with findings from previous studies in tumors elsewhere in the body. 32,33 Furthermore, the numerical values of ADC were greater than ADC slow in each group; this was because the ADC slow was derived from the biexponential model and can eliminate the interference of perfusion and maintain the true diffusion. Furthermore, the AUC value of the ADC slow obtained by two radiologists were higher than ADC in distinguishing PD from WM differentiating esophageal carcinoma and a stronger correlation was also found in ADC slow .…”

Section: Discussionmentioning

confidence: 99%

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Esophageal carcinoma: Intravoxel incoherent motion diffusion‐weighted MRI parameters and histopathological correlations

Zhu

Gao

et al. 2018

Magnetic Resonance Imaging

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Esophageal carcinoma: Intravoxel incoherent motion diffusion‐weighted MRI parameters and histopathological correlations

Zhu

Gao

et al. 2018

Magnetic Resonance Imaging

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“…Sungmin Woo et al[ 16 ] demonstrated that ADC and D values are both significantly lower in high-grade HCC than in low-grade HCC, which is consistent with the current findings. Previous studies in tumors elsewhere in the body also showed similar results[ 31 , 32 ]. The other IVIM-derived parameters, including the D* and f values, were not statistically significant in differentiating the G1, G2, and G3 groups.…”

Section: Discussionsupporting

confidence: 80%

Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging for predicting histological grade of hepatocellular carcinoma: Comparison with conventional diffusion-weighted imaging

Zhu

Liu

et al. 2018

WJG

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AIMTo compare intravoxel incoherent motion (IVIM)-derived parameters with conventional diffusion-weighted imaging (DWI) parameters in predicting the histological grade of hepatocellular carcinoma (HCC) and to evaluate the correlation between the parameters and the histological grades.METHODSA retrospective study was performed. Sixty-two patients with surgically confirmed HCCs underwent diffusion-weighted magnetic resonance imaging with twelve b values (10-1200 s/mm2). The apparent diffusion coefficient (ADC), pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f) were calculated by two radiologists. The IVIM and conventional DWI parameters were compared among the different grades by using analysis of variance (ANOVA) and the Kruskal-Wallis test. Receiver operating characteristic (ROC) analysis was performed to evaluate the diagnostic efficiency of distinguishing between low-grade (grade 1, G1) and high-grade (grades 2 and 3, G2 and G3) HCC. The correlation between the parameters and the histological grades was assessed by using the Spearman correlation test. Bland-Altman analysis was used to evaluate the reproducibility of the two radiologists’ measurements.RESULTSThe differences in the ADC and D values among the groups with G1, G2, and G3 histological grades of HCCs were statistically significant (P < 0.001). The D* and f values had no significant differences among the different histological grades of HCC (P > 0.05). The ROC analyses demonstrated that the D and ADC values had better diagnostic performance in differentiating the low-grade HCC from the high-grade HCC, with areas under the curve (AUCs) of 0.909 and 0.843, respectively, measured by radiologist 1 and of 0.911 and 0.852, respectively, measured by radiologist 2. The following significant correlations were obtained between the ADC, D, and D* values and the histological grades: r = -0.619 (P < 0.001), r = -0.628 (P < 0.001), and r = -0.299 (P = 0.018), respectively, as measured by radiologist 1; r = -0.622 (P < 0.001), r = -0.633 (P < 0.001), and r = -0.303 (P = 0.017), respectively, as measured by radiologist 2. The intra-class correlation coefficient (ICC) values between the two observers were 0.996 for ADC, 0.997 for D, 0.996 for D*, and 0.992 for f values, which indicated excellent inter-observer agreement in the measurements between the two observers.CONCLUSIONThe IVIM-derived D and ADC values show better diagnostic performance in differentiating high-grade HCC from low-grade HCC, and there is a moderate to good correlation between the ADC and D values and the histological grades.

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“…However, the histogram D* and f had no statistic significance difference, which means pseudo-perfusion may contribute little to the diffusivity for detecting PCa in TZ. Conversely, in our results, spearman coefficient analysis revealed significant negative correlations between Gleason score and mean ADC and mean D, the statistic difference is significant, in the similar finding Yang [20] reported that Gleason score was also negative correlations with ADC and D. However, some studies [21], [12] found that decreased perfusion fraction may be involved in reducing ADC in prostate cancer. Thus, the relationship between diffusion parameters and Gleason remains controversial.…”

Section: Discussionsupporting

confidence: 67%

Differentiation of prostate cancer lesions in the Transition Zone by diffusion-weighted MRI

Bao

Wang

et al. 2017

European Journal of Radiology Open

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ObjectiveTo differentiate prostate cancer lesions in transition zone by diffusion-weighted-MRI (DW-MRI).MethodsData from a total of 63 patients who underwent preoperative DWI (b of 0–1000 s/mm2) were prospectively collected and processed by a monoexponential (DWI) model and compared with a biexponential (IVIM) model for quantitation of apparent diffusion coefficients (ADCs), perfusion fraction f, diffusivity D and pseudo-diffusivity D*. Histogram analyses were performed by outlining entire-tumor regions of interest (ROIs). These parameters (separately and combined in a logistic regression model) were used to differentiate lesions depending on histopathological analysis of Magnetic Resonance/transrectal Ultrasound (MR/TRUS) fusion-guided biopsy. The diagnostic ability of differentiate the PCa from BHP in TZ was analyzed by ROC regression. Histogram analysis of quantitative parameters and Gleason score were assessed with Spearman correlation.ResultsThirty (30 foci) cases of PCa in PZ and 33 (36 foci) cases of BPH were confirmed by pathology. Mean ADC, median ADC, 10th percentile ADC, 90th percentile ADC, kurtosis and skewness of ADC and mean D values, median D and 90th percentile D differed significantly between PCa and BHP in TZ. The highest classification accuracy was achieved by the mean ADC (0.841) and mean D (0.809). A logistic regression model based on mean ADC and mean D led to an AUC of 0.873, however, the difference is not significant. There were 7 Gleason 6 areas, 9 Gleason 7 areas, 8 Gleason 8 areas, 5 Gleason 9 areas and 2 Gleason 10 areas detected from the 31 prostate cancer areas, the mean Gleason value was(7.5 ± 1.2). The mean ADC and mean D had correlation with Gleason score(r = −0.522 and r = −0.407 respectively, P < 0.05).ConclusionThe diagnosis efficiency of IVIM parameters was not superior to ADC in the diagnosis of PCa in TZ. Moreover, the combination of mean ADC and mean D did not perform better than the parameters alone significantly; It is feasible to stratify the pathological grade of prostate cancer by mean ADC.

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Prostate cancer: correlation of intravoxel incoherent motion MR parameters with Gleason score

Cited by 23 publications

References 35 publications

Esophageal carcinoma: Intravoxel incoherent motion diffusion‐weighted MRI parameters and histopathological correlations

Esophageal carcinoma: Intravoxel incoherent motion diffusion‐weighted MRI parameters and histopathological correlations

Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging for predicting histological grade of hepatocellular carcinoma: Comparison with conventional diffusion-weighted imaging

Differentiation of prostate cancer lesions in the Transition Zone by diffusion-weighted MRI

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