Peripheral zone prostate cancer: accuracy of different interpretative approaches with MR and MR spectroscopic imaging.

PURPOSE To retrospectively compare relative accuracy of different interpretative approaches to magnetic resonance (MR) and MR spectroscopic imaging of peripheral zone prostate cancer, by using histologic examination results as the reference standard. MATERIALS AND METHODS This HIPAA-compliant study had institutional Committee on Human Research approval, with waiver of written consent requirement. Spectroscopic voxels of unequivocally benign (n = 66) or malignant (n = 77) peripheral zone tissue were identified by using step-section histopathologic tumor maps created for 28 men (mean age, 60 years; range, 46-71 years) who underwent endorectal MR and MR spectroscopic imaging before radical prostatectomy. Two readers (9 and 8 years of experience) independently scored the selected voxels on a scale from 1 (likely benign) to 5 (likely malignant) at randomized review of the corresponding tissue outlined on a transverse T2-weighted MR image (T2 approach), the MR spectrum from the selected voxel only (single-voxel approach), the MR spectra from all voxels at the same axial level (multivoxel approach), and both the corresponding tissue outlined on a transverse T2-weighted image and the MR spectra from all voxels at the same axial level (integrated approach). Readers were aware that spectra were derived in patients with biopsy-proved diagnoses of prostate cancer and represented either benign or malignant tissue but were unaware of which voxels had been labeled benign or malignant and of all other clinical, histopathologic, and MR imaging findings. Receiver operating characteristic (ROC) curve analysis was performed. Generalized estimating equation method was used to estimate sensitivity and specificity for specific cutoff values. RESULTS Mean areas under the ROC curve (AUCs) for the T2, single-voxel, multivoxel, and integrated approaches were 0.69, 0.72, 0.72, and 0.76, respectively. AUC of the integrated approach was significantly higher than those of the other three approaches (P < .001). kappa Values for assessment of interobserver variability for the T2, single-voxel, multivoxel, and integrated approaches were 0.39, 0.39, 0.34, and 0.48, respectively. CONCLUSION Addition of MR spectroscopic imaging to MR imaging significantly improves characterization of peripheral zone prostate tissue as benign or malignant; improved performance is obtained when both data sets are interpreted in an integrated fashion.

[1]  J Kurhanewicz,et al.  Localized prostate cancer: effect of hormone deprivation therapy measured by using combined three-dimensional 1H MR spectroscopy and MR imaging: clinicopathologic case-controlled study. , 2001, Radiology.

[2]  H. Hricak,et al.  Magnetic resonance imaging and magnetic resonance spectroscopic imaging of prostate cancer , 2005, Nature Clinical Practice Urology.

[3]  J Kurhanewicz,et al.  Three-dimensional magnetic resonance spectroscopic imaging of brain and prostate cancer. , 2000, Neoplasia.

[4]  J. Kurhanewicz,et al.  Endorectal MR imaging and MR spectroscopic imaging for locally recurrent prostate cancer after external beam radiation therapy: preliminary experience. , 2004, Radiology.

[5]  J Kurhanewicz,et al.  Prostate cancer: prediction of extracapsular extension with endorectal MR imaging and three-dimensional proton MR spectroscopic imaging. , 1999, Radiology.

[6]  Xavier Buy,et al.  Contrast enhanced color Doppler endorectal sonography of prostate: efficiency for detecting peripheral zone tumors and role for biopsy procedure. , 2003, The Journal of urology.

[7]  J. Pauly,et al.  Dualband spectral‐spatial RF pulses for prostate MR spectroscopic imaging , 2001, Magnetic resonance in medicine.

[8]  Chinyere N. Onyebuchi,et al.  The role of preoperative endorectal magnetic resonance imaging in the decision regarding whether to preserve or resect neurovascular bundles during radical retropubic prostatectomy , 2004, Cancer.

[9]  J. Kurhanewicz,et al.  Very selective suppression pulses for clinical MRSI studies of brain and prostate cancer , 2000, Magnetic resonance in medicine.

[10]  M. Kattan,et al.  Correlation of proton MR spectroscopic imaging with gleason score based on step-section pathologic analysis after radical prostatectomy. , 2005, Radiology.

[11]  P. Carroll,et al.  Three-dimensional H-1 MR spectroscopic imaging of the in situ human prostate with high (0.24-0.7-cm3) spatial resolution. , 1996, Radiology.

[12]  J. Pauly,et al.  Improved solvent suppression and increased spatial excitation bandwidths for three‐dimensional press CSI using phase‐compensating spectral/spatial spin‐echo pulses , 1997, Journal of magnetic resonance imaging : JMRI.

[13]  A K Manatunga,et al.  Modeling kappa for measuring dependent categorical agreement data. , 2000, Biostatistics.

[14]  P. Carroll,et al.  Prostate depiction at endorectal MR spectroscopic imaging: investigation of a standardized evaluation system. , 2004, Radiology.

[15]  K. Berbaum,et al.  Receiver operating characteristic rating analysis. Generalization to the population of readers and patients with the jackknife method. , 1992, Investigative radiology.

[16]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[17]  Silvia D. Chang,et al.  Prostate cancer tumor volume: measurement with endorectal MR and MR spectroscopic imaging. , 2002, Radiology.

[18]  M. Sheridan,et al.  The role of endorectal coil MRI in patient selection and treatment planning for prostate seed implants , 2000 .

[19]  P. Carroll,et al.  Prostate cancer: localization with three-dimensional proton MR spectroscopic imaging--clinicopathologic study. , 1999, Radiology.

[20]  R L Somorjai,et al.  Magnetic resonance spectroscopy of the malignant prostate gland after radiotherapy: a histopathologic study of diagnostic validity. , 2001, International journal of radiation oncology, biology, physics.

[21]  Michael W Kattan,et al.  Prostate cancer: incremental value of endorectal MR imaging findings for prediction of extracapsular extension. , 2004, Radiology.