MR Imaging of Prostate Cancer: Diffusion Weighted Imaging and (3D) Hydrogen 1 (1H) MR Spectroscopy in Comparison with Histology
Author(s) -
Jin Yamamura,
Georg Salomon,
Ralph Buchert,
Arne Hohenstein,
Joachim Graessner,
Hartwig Huland,
Markus Graefen,
Gerhard Adam,
U. Wedegaetner
Publication year - 2010
Publication title -
radiology research and practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.125
H-Index - 5
eISSN - 2090-1941
pISSN - 2090-195X
DOI - 10.1155/2011/616852
Subject(s) - medicine , receiver operating characteristic , effective diffusion coefficient , prostate cancer , nuclear medicine , diffusion mri , prostate , confidence interval , magnetic resonance imaging , cancer , radiology
Purpose. To evaluate retrospectively the impact of diffusion weighted imaging (DWI) and (3D) hydrogen 1 ( 1 H) MR-spectroscopy (MRS) on the detection of prostatic cancer in comparison to histological examinations. Materials and Methods: 50 patients with suspicion of prostate cancer underwent a MRI examination at a 1.5T scanner. The prostate was divided into sextants. Regions of interest were placed in each sextant to evaluate the apparent diffusion coefficient (ADC)-values. The results of the DWI as well as MRS were compared retrospectively with the findings of the histological examination. Sensitivity and specificity of ADC and metabolic ratio (MET)—both separately and in combination—for identification of tumor tissue was computed for variable discrimination thresholds to evaluate its receiver operator characteristic (ROC). An association between ADC, MET and Gleason score was tested by the non-parametric Spearman ρ -test. Results. The average ADC-value was 1.65 ± 0.32mm 2 /s × 10 −3 in normal tissue and 0.96±0.24 mm 2 /s × 10 −3 in tumor tissue (mean ± 1 SD). MET was 0.418 ± 0.431 in normal tissue and 2.010 ± 1.649 in tumor tissue. The area under the ROC curve was 0.966 (95%-confidence interval 0.941–0.991) and 0.943 (0.918–0.968) for DWI and MRS, respectively. There was a highly significant negative correlation between ADC-value and the Gleason score in the tumor-positive tissue probes ( n = 62, ρ = −0.405, P = .001). MRS did not show a significant correlation with the Gleason score ( ρ = 0.117, P = .366). By using both the DWI and MRS, the regression model provided sensitivity and specificity for detection of tumor of 91.9% and 98.3%, respectively. Conclusion. The results of our study showed that both DWI and MRS should be considered as an additional and complementary tool to the T2-weighted MRI for detecting prostate cancer.
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