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Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings.
Algohary A, Viswanath S, Shiradkar R, Ghose S, Pahwa S, Moses D, Jambor I, Shnier R, Böhm M, Haynes AM, Brenner P, Delprado W, Thompson J, Pulbrock M, Purysko AS, Verma S, Ponsky L, Stricker P, Madabhushi A. Algohary A, et al. Among authors: pahwa s. J Magn Reson Imaging. 2018 Feb 22:10.1002/jmri.25983. doi: 10.1002/jmri.25983. Online ahead of print. J Magn Reson Imaging. 2018. PMID: 29469937 Free PMC article.
Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study.
Ginsburg SB, Algohary A, Pahwa S, Gulani V, Ponsky L, Aronen HJ, Boström PJ, Böhm M, Haynes AM, Brenner P, Delprado W, Thompson J, Pulbrock M, Taimen P, Villani R, Stricker P, Rastinehad AR, Jambor I, Madabhushi A. Ginsburg SB, et al. Among authors: pahwa s. J Magn Reson Imaging. 2017 Jul;46(1):184-193. doi: 10.1002/jmri.25562. Epub 2016 Dec 19. J Magn Reson Imaging. 2017. PMID: 27990722 Free PMC article. Clinical Trial.
Combination of Peri-Tumoral and Intra-Tumoral Radiomic Features on Bi-Parametric MRI Accurately Stratifies Prostate Cancer Risk: A Multi-Site Study.
Algohary A, Shiradkar R, Pahwa S, Purysko A, Verma S, Moses D, Shnier R, Haynes AM, Delprado W, Thompson J, Tirumani S, Mahran A, Rastinehad AR, Ponsky L, Stricker PD, Madabhushi A. Algohary A, et al. Among authors: pahwa s. Cancers (Basel). 2020 Aug 6;12(8):2200. doi: 10.3390/cancers12082200. Cancers (Basel). 2020. PMID: 32781640 Free PMC article.
T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.
Shiradkar R, Panda A, Leo P, Janowczyk A, Farre X, Janaki N, Li L, Pahwa S, Mahran A, Buzzy C, Fu P, Elliott R, MacLennan G, Ponsky L, Gulani V, Madabhushi A. Shiradkar R, et al. Among authors: pahwa s. Eur Radiol. 2021 Mar;31(3):1336-1346. doi: 10.1007/s00330-020-07214-9. Epub 2020 Sep 2. Eur Radiol. 2021. PMID: 32876839 Free PMC article.
Correction to: T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.
Shiradkar R, Panda A, Leo P, Janowczyk A, Farre X, Janaki N, Li L, Pahwa S, Mahran A, Buzzy C, Fu P, Elliott R, MacLennan G, Ponsky L, Gulani V, Madabhushi A. Shiradkar R, et al. Among authors: pahwa s. Eur Radiol. 2021 Apr;31(4):2644. doi: 10.1007/s00330-020-07285-8. Eur Radiol. 2021. PMID: 32945970 No abstract available.
Development of a Combined MR Fingerprinting and Diffusion Examination for Prostate Cancer.
Yu AC, Badve C, Ponsky LE, Pahwa S, Dastmalchian S, Rogers M, Jiang Y, Margevicius S, Schluchter M, Tabayoyong W, Abouassaly R, McGivney D, Griswold MA, Gulani V. Yu AC, et al. Among authors: pahwa s. Radiology. 2017 Jun;283(3):729-738. doi: 10.1148/radiol.2017161599. Epub 2017 Feb 10. Radiology. 2017. PMID: 28187264 Free PMC article.
480 results