Multi-parametric MRI and PI-RADS (V1) scoring system: New inception in cancer prostate diagnosis to evaluate diagnostic performance of different score combinations

Hoeks, 2011, Prostate cancer: multiparametric MR imaging for detection, localization, and staging, Radiology, 261, 46, 10.1148/radiol.11091822 McMahon, 2009, Dynamic contrast-enhanced MR imaging in the evaluation of patients with prostate cancer, Magn Reson Imag Clin N Am, 17, 363, 10.1016/j.mric.2009.01.013 Shimofusa, 2005, Diffusion-weighted imaging of prostate cancer, J Comput Assist Tomogr, 29, 149, 10.1097/01.rct.0000156396.13522.f2 Rosenkrantz, 2011, Prostate cancer: comparison of tumor visibility on trace diffusion-weighted images and the apparent diffusion coefficient map, AJR Am J Roentgenol, 196, 123, 10.2214/AJR.10.4738 Afnan, 2010, Update on prostate imaging, Urol Clin N Am, 37, 23, 10.1016/j.ucl.2009.11.009 Villeirs, 2010, A qualitative approach to combined magnetic resonance imaging and spectroscopy in the diagnosis of prostate cancer, Eur J Radiol, 73, 352, 10.1016/j.ejrad.2008.10.034 Rais-Bahrami, 2014, Role of multiparametric magnetic resonance imaging in the diagnosis of prostate cancer, Curr Urol Rep, 15, 387, 10.1007/s11934-013-0387-9 Haider, 2007, Combined T2-weighted and diffusion-weighted MRI for localization of prostate cancer, AJR Am J Roentgenol, 189, 323, 10.2214/AJR.07.2211 Kim, 2007, Value of diffusion-weighted imaging for the prediction of prostate cancer location at 3T using a phased-array coil: preliminary results, Invest Radiol, 42, 842, 10.1097/RLI.0b013e3181461d21 De Rooij, 2014, Accuracy of multiparametric MRI for prostate cancer detection: a meta-analysis, AJR Am J Roentgenol, 202, 343, 10.2214/AJR.13.11046 Haghighi, 2013, Prostate cancer: diffusion-weighted imaging versus dynamic-contrast enhanced imaging for tumor localization – a meta-analysis, J Comput Assist Tomogr, 37, 980, 10.1097/RCT.0b013e3182a3f9c7 Wu, 2012, The clinical value of diffusion-weighted imaging in combination with T2-weighted imaging in diagnosing prostate carcinoma: a systematic review and meta-analysis, AJR Am J Roentgenol, 199, 103, 10.2214/AJR.11.7634 Barentsz, 2012, ESUR prostate MR guidelines 2012, Eur Radiol, 22, 746, 10.1007/s00330-011-2377-y Obenauer, 2005, Applications and literature review of the BI-RADS classification, Eur Radiol, 15, 1027, 10.1007/s00330-004-2593-9 Roethke, 2013, PI-RADS classification: structured reporting for MRI of the prostate, Rofo, 185, 253 Portalez, 2012, Validation of the European Society of Urogenital Radiology scoring system for prostate cancer diagnosis on multiparametric magnetic resonance imaging in a cohort of repeat biopsy patients, Eur Urol, 62, 986, 10.1016/j.eururo.2012.06.044 Schimmoller, 2013, Inter-reader agreement of the ESUR score for prostate MRI using in-bore MRI-guided biopsies as the reference standard, Eur Radiol, 23, 3185, 10.1007/s00330-013-2922-y Rosenkrantz, 2013, Prostate cancer localization using multiparametric MR imaging: comparison of Prostate Imaging Reporting and Data System (PI-RADS) and Likert scales, Radiology, 269, 482, 10.1148/radiol.13122233 Chesnais, 2013, Differentiation of transitional zone prostate cancer from benign hyperplasia nodules: evaluation of discriminant criteria at multiparametric MRI, Clin Radiol, 68, 323, 10.1016/j.crad.2013.01.018 Oto, 2010, Prostate cancer: differentiation of central gland cancer from benign prostatic hyperplasia by using diffusion-weighted and dynamic contrast-enhanced MR imaging, Radiology, 257, 715, 10.1148/radiol.10100021 Kim, 2008, Apparent diffusion coefficient: prostate cancer versus noncancerous tissue according to anatomical region, J Magn Reson Imag, 28, 1173, 10.1002/jmri.21513 Baur, 2014, Evaluation of the prostate imaging reporting and data system for the detection of prostate cancer by the results of targeted biopsy of the prostate, Invest Radiol, 49, 411, 10.1097/RLI.0000000000000030 Schimmöller, 2014, MR-sequences for prostate cancer diagnostics: validation based on the PI-RADS scoring system and targeted MR-guided in-bore biopsy, Eur Radiol, 24, 2582, 10.1007/s00330-014-3276-9 Kuru, 2013, Histology core-specific evaluation of the European Society of Urogenital Radiology (ESUR) standardised scoring system of multiparametric magnetic resonance imaging (mpMRI) of the prostate, BJU Int, 112, 1080, 10.1111/bju.12259 Delongchamps, 2011, Multiparametric magnetic resonance imaging for the detection and localization of prostate cancer: combination of T2-weighted, dynamic contrast-enhanced and diffusion-weighted imaging, BJU Int, 107, 1411, 10.1111/j.1464-410X.2010.09808.x Kozlowski, 2006, Combined diffusion-weighted and dynamic contrast-enhanced MRI for prostate cancer diagnosis: correlation with biopsy and histopathology, J Magn Reson Imag, 24, 108, 10.1002/jmri.20626 Junker, 2014, Evaluation of the PI-RADS scoring system for mpMRI of the prostate: a whole-mount step-section analysis, World J Urol Boesen, 2014, Early experience with multiparametric magnetic resonance imaging-targeted biopsies under visual transrectal ultrasound guidance in patients suspicious for prostate cancer undergoing repeated biopsy, Scand J Urol, 49, 1 Hoeks, 2013, Transition zone prostate cancer: detection and localization with 3-T multiparametric MR imaging, Radiology, 266, 207, 10.1148/radiol.12120281 Hamoen, 2015, Use of the Prostate Imaging Reporting and Data System (PI-RADS) for prostate cancer detection with multiparametric magnetic resonance imaging: a diagnostic meta-analysis, Eur Urol, 67, 1112, 10.1016/j.eururo.2014.10.033