Cancer of the Prostate - Cancer Stat Facts. In: SEER. https://seer.cancer.gov/statfacts/html/prost.html. Accessed 7 Jul 2023
Financial Burden of Cancer Care | Cancer Trends Progress Report. https://progressreport.cancer.gov/after/economic_burden. Accessed 7 Jul 2023
Sadinski M, Karczmar G, Peng Y, et al (2016) Pilot Study of the Use of Hybrid Multidimensional T2-Weighted Imaging-DWI for the Diagnosis of Prostate Cancer and Evaluation of Gleason Score. AJR Am J Roentgenol 207:592–598. https://doi.org/10.2214/AJR.15.15626
Article PubMed PubMed Central Google Scholar
Chatterjee A, Mercado C, Bourne RM, et al (2022) Validation of Prostate Tissue Composition by Using Hybrid Multidimensional MRI: Correlation with Histologic Findings. Radiology 302:368–377. https://doi.org/10.1148/radiol.2021204459
Lee G, Chatterjee A, Harmath C, et al (2023) Improving reader accuracy and specificity with the addition of hybrid multidimensional-MRI to multiparametric-MRI in diagnosing clinically significant prostate cancers. Abdom Radiol N Y 48:3216–3228. https://doi.org/10.1007/s00261-023-03969-z
Lee GH, Chatterjee A, Karademir I, et al (2022) Comparing Radiologist Performance in Diagnosing Clinically Significant Prostate Cancer with Multiparametric versus Hybrid Multidimensional MRI. Radiology 305:399–407. https://doi.org/10.1148/radiol.211895
Chatterjee A, Lee G, Dietz D, Oto A, Karczmar G. Cross vendor validation of Hybrid Multidimensional MRI in the non-invasive measurement of prostate tissue composition. Proc. Intl. Soc. Mag. Reson. Med. 28 (2020). Available from: https://cds.ismrm.org/protected/20MProceedings/PDFfiles/3778.html. Accessed 2024 May 10.
Chatterjee A, Engelmann R, Harmath C, Yousuf A, Reynold L, Karczmar G, Oto A. Prospective validation of an automated hybrid multidimensional MRI-based tool to identify areas for prostate cancer biopsy. 2023 ARRS Annual Meeting. Available from: https://apps.arrs.org/AbstractsAM23Open/Main/Abstract/1127. Accessed 10 May 2024
Sabouri S, Fazli L, Chang SD, et al (2017) MR measurement of luminal water in prostate gland: Quantitative correlation between MRI and histology. J Magn Reson Imaging JMRI 46:861–869. https://doi.org/10.1002/jmri.25624
Gilani N, Rosenkrantz AB, Malcolm P, Johnson G (2015) Minimization of errors in biexponential T2 measurements of the prostate. J Magn Reson Imaging JMRI 42:1072–1077. https://doi.org/10.1002/jmri.24870
Sabouri S, Chang SD, Savdie R, et al (2017) Luminal Water Imaging: A New MR Imaging T2 Mapping Technique for Prostate Cancer Diagnosis. Radiology 284:451–459. https://doi.org/10.1148/radiol.2017161687
Hectors SJ, Said D, Gnerre J, et al (2020) Luminal Water Imaging: Comparison With Diffusion-Weighted Imaging (DWI) and PI-RADS for Characterization of Prostate Cancer Aggressiveness. J Magn Reson Imaging JMRI 52:271–279. https://doi.org/10.1002/jmri.27050
Carlin D, Orton MR, Collins D, deSouza NM (2019) Probing structure of normal and malignant prostate tissue before and after radiation therapy with luminal water fraction and diffusion-weighted MRI. J Magn Reson Imaging JMRI 50:619–627. https://doi.org/10.1002/jmri.26597
Chan RW, Lau AZ, Detzler G, et al (2019) Evaluating the accuracy of multicomponent T2 parameters for luminal water imaging of the prostate with acceleration using inner-volume 3D GRASE. Magn Reson Med 81:466–476. https://doi.org/10.1002/mrm.27372
Devine W, Giganti F, Johnston EW, et al (2019) Simplified Luminal Water Imaging for the Detection of Prostate Cancer From Multiecho T2 MR Images. J Magn Reson Imaging JMRI 50:910–917. https://doi.org/10.1002/jmri.26608
Ma D, Gulani V, Seiberlich N, et al (2013) Magnetic Resonance Fingerprinting. Nature 495:187–192. https://doi.org/10.1038/nature11971
Article CAS PubMed PubMed Central Google Scholar
Yu AC, Badve C, Ponsky LE, et al (2017) Development of a Combined MR Fingerprinting and Diffusion Examination for Prostate Cancer. Radiology 283:729–738. https://doi.org/10.1148/radiol.2017161599
Panda A, Obmann VC, Lo W-C, et al (2019) MR Fingerprinting and ADC Mapping for Characterization of Lesions in the Transition Zone of the Prostate Gland. Radiology 292:685–694. https://doi.org/10.1148/radiol.2019181705
Lo W-C, Bittencourt LK, Panda A, et al (2022) Multicenter Repeatability and Reproducibility of MR Fingerprinting in Phantoms and in Prostatic Tissue. Magn Reson Med 88:1818–1827. https://doi.org/10.1002/mrm.29264
Article CAS PubMed PubMed Central Google Scholar
de Oliveira Correia ET, Qiao PL, Griswold MA, et al (2023) Magnetic resonance fingerprinting based comprehensive quantification of T1 and T2 values of the background prostatic peripheral zone: Correlation with clinical and demographic features. Eur J Radiol 164:110883. https://doi.org/10.1016/j.ejrad.2023.110883
Turkbey B, Rosenkrantz AB, Haider MA, et al (2019) Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2. Eur Urol 76:340–351. https://doi.org/10.1016/j.eururo.2019.02.033
Brunsing RL, Schenker-Ahmed NM, White NS, et al (2017) Restriction spectrum imaging: An evolving imaging biomarker in prostate MRI. J Magn Reson Imaging JMRI 45:323–336. https://doi.org/10.1002/jmri.25419
Conlin CC, Feng CH, Rodriguez-Soto AE, et al (2021) Improved Characterization of Diffusion in Normal and Cancerous Prostate Tissue Through Optimization of Multicompartmental Signal Models. J Magn Reson Imaging JMRI 53:628–639. https://doi.org/10.1002/jmri.27393
Feng CH, Conlin CC, Batra K, et al (2021) Voxel-level Classification of Prostate Cancer on Magnetic Resonance Imaging: Improving Accuracy Using Four-Compartment Restriction Spectrum Imaging. J Magn Reson Imaging JMRI 54:975–984. https://doi.org/10.1002/jmri.27623
Zhong AY, Digma LA, Hussain T, et al (2023) Automated Patient-level Prostate Cancer Detection with Quantitative Diffusion Magnetic Resonance Imaging. Eur Urol Open Sci 47:20–28. https://doi.org/10.1016/j.euros.2022.11.009
Panagiotaki E, Walker-Samuel S, Siow B, et al (2014) Noninvasive quantification of solid tumor microstructure using VERDICT MRI. Cancer Res 74:1902–1912. https://doi.org/10.1158/0008-5472.CAN-13-2511
Article CAS PubMed Google Scholar
Panagiotaki E, Chan RW, Dikaios N, et al (2015) Microstructural characterization of normal and malignant human prostate tissue with vascular, extracellular, and restricted diffusion for cytometry in tumours magnetic resonance imaging. Invest Radiol 50:218–227. https://doi.org/10.1097/RLI.0000000000000115
Article CAS PubMed Google Scholar
Johnston EW, Bonet-Carne E, Ferizi U, et al (2019) VERDICT MRI for Prostate Cancer: Intracellular Volume Fraction versus Apparent Diffusion Coefficient. Radiology 291:391–397. https://doi.org/10.1148/radiol.2019181749
Singh S, Rogers H, Kanber B, et al (2022) Avoiding Unnecessary Biopsy after Multiparametric Prostate MRI with VERDICT Analysis: The INNOVATE Study. Radiology 305:623–630. https://doi.org/10.1148/radiol.212536
Hopstaken JS, Bomers JGR, Sedelaar MJP, et al (2022) An Updated Systematic Review on Focal Therapy in Localized Prostate Cancer: What Has Changed over the Past 5 Years? Eur Urol 81:5–33. https://doi.org/10.1016/j.eururo.2021.08.005
Raz O, Haider MA, Davidson SRH, et al (2010) Real-time magnetic resonance imaging-guided focal laser therapy in patients with low-risk prostate cancer. Eur Urol 58:173–177. https://doi.org/10.1016/j.eururo.2010.03.006
Lindner U, Lawrentschuk N, Weersink RA, et al (2010) Focal laser ablation for prostate cancer followed by radical prostatectomy: validation of focal therapy and imaging accuracy. Eur Urol 57:1111–1114. https://doi.org/10.1016/j.eururo.2010.03.008
Mehralivand S, George AK, Hoang AN, et al (2021) MRI-guided focal laser ablation of prostate cancer: a prospective single-arm, single-center trial with 3 years of follow-up. Diagn Interv Radiol 27:394–400. https://doi.org/10.5152/dir.2021.20095
Comments (0)