Výsledky vyhledávání - "A S, Purysko"

Akademický článek

Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study

Autor: Thomas DeSilvio, Jacob T. Antunes, Kaustav Bera, Prathyush Chirra, Hoa Le, David Liska, Sharon L. Stein, Eric Marderstein, William Hall, Rajmohan Paspulati, Jayakrishna Gollamudi, Andrei S. Purysko, Satish E. Viswanath

Publikováno v: Frontiers in Medicine, Vol 10 (2023)

IntroductionFor locally advanced rectal cancers, in vivo radiological evaluation of tumor extent and regression after neoadjuvant therapy involves implicit visual identification of rectal structures on magnetic resonance imaging (MRI). Additionally,

Externí odkaz: https://doaj.org/article/78436127ef9643deb305d3ab4dd284b3

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Akademický článek

Novel radiomic analysis on bi-parametric MRI for characterizing differences between MR non-visible and visible clinically significant prostate cancer

Autor: Lin Li, Rakesh Shiradkar, Sree Harsha Tirumani, Leonardo Kayat Bittencourt, Pingfu Fu, Amr Mahran, Christina Buzzy, Phillip D. Stricker, Ardeshir R. Rastinehad, Cristina Magi-Galluzzi, Lee Ponsky, Eric Klein, Andrei S. Purysko, Anant Madabhushi

Publikováno v: European Journal of Radiology Open, Vol 10, Iss , Pp 100496- (2023)

Background: around one third of clinically significant prostate cancer (CsPCa) foci are reported to be MRI non-visible (MRI─). Objective: To quantify the differences between MR visible (MRI+) and MRI─ CsPCa using intra- and peri-lesional radiomic

Externí odkaz: https://doaj.org/article/488c1693e1a546b3b48d8938907995ed

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Akademický článek

Pseudocirrhosis in Breast Cancer – Experience From an Academic Cancer Center

Autor: Dharmesh Gopalakrishnan, Ain Shajihan, Andrei S. Purysko, Jame Abraham

Publikováno v: Frontiers in Oncology, Vol 11 (2021)

BackgroundPseudocirrhosis is characterized by radiological changes in the liver that resemble cirrhosis, but with more rapid onset and progression. Though reported most frequently in patients with metastatic breast cancer, little is known about its p

Externí odkaz: https://doaj.org/article/d8ff0208c45f4ba88337bf497e2a88ac

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Akademický článek

Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study

Autor: Satish E. Viswanath, Prathyush V. Chirra, Michael C. Yim, Neil M. Rofsky, Andrei S. Purysko, Mark A. Rosen, B Nicolas Bloch, Anant Madabhushi

Publikováno v: BMC Medical Imaging, Vol 19, Iss 1, Pp 1-12 (2019)

Abstract Background For most computer-aided diagnosis (CAD) problems involving prostate cancer detection via medical imaging data, the choice of classifier has been largely ad hoc, or been motivated by classifier comparison studies that have involved

Externí odkaz: https://doaj.org/article/1e20388c52fc442ba644ea1e3ffbd80b

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Akademický článek

A novel imaging based Nomogram for predicting post-surgical biochemical recurrence and adverse pathology of prostate cancer from pre-operative bi-parametric MRI

Publikováno v: EBioMedicine, Vol 63, Iss , Pp 103163- (2021)

Background: We developed and validated an integrated radiomic-clinicopathologic nomogram (RadClip) for post-surgical biochemical recurrence free survival (bRFS) and adverse pathology (AP) prediction in men with prostate cancer (PCa). RadClip was furt

Externí odkaz: https://doaj.org/article/16f2d48814ce47b5950cc438e51e9b26

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