Results 111 to 120 of about 38,995 (207)

Deep Learning Improves Robustness of Voxelwise Kinetic Modeling for Hyperpolarized Carbon‐13 MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To evaluate whether deep learning improves the robustness of voxelwise kinetic parameter estimation from hyperpolarized (HP) 13C MRI compared with nonlinear least‐squares (NLLS) fitting. Methods A hybrid neural network (NN) was trained on synthetic pyruvate/lactate time courses generated from an open‐system two‐compartment HP 13C ...
Kofi Deh, Yeona Kang, Tsang‐Wei Tu, Rania Jones, Curtiland Deville, Rao Khan   +5 more
wiley   +1 more source

Pain control according to the periprostatic nerve block site in magnetic resonance imaging/transrectal targeted prostate biopsy. [PDF]

Sci Rep, 2022
Yoo JW, Koo KC, Chung BH, Lee KS.
europepmc   +1 more source

A transition zone enriched WIF1+ basal cell subtype is associated with benign prostatic hyperplasia

The Journal of Pathology, EarlyView.
Abstract The cellular composition and disease susceptibilities of the distinct zones of the human prostate remain incompletely understood. Benign prostatic hyperplasia (BPH) is a common condition that causes widespread morbidity and is nearly exclusively localized to the transition zone (TZ).
Rulin Wang, Qizhi Zheng, Mindy K Graham, Ajay Vaghasia, Jianyong Liu, Jordan Gregg, Tracy Jones, Anuj Gupta, Nicole Castagna, Yan Zhang, Kornel Schuebel, Jennifer Meyers, Alyza Skaist, Dixie Hoyle, Jasmine Kung, Jessica Hicks, Alok Mishra, Yuhan Yang, William G Nelson, Angelo M De Marzo, Srinivasan Yegnasubramanian   +20 more
wiley   +1 more source

Natural History of PI‐RADS 3 Lesions on Serial Prostate mpMRI

The Prostate, EarlyView.
ABSTRACT Objective PI‐RADS 3 lesions on prostate multiparametric MRI (mpMRI) are indeterminate findings with debated management. We evaluated their radiologic evolution on follow‐up mpMRI and correlated imaging changes with biopsy outcomes. Methods We retrospectively identified 166 men with at least one PI‐RADS 3 lesion on initial mpMRI and at least ...
Tomer Bashi, Yanai Rubinstein, Adi Kidron, Ron Marom, Yuval Rand, Meitar Atias, Sophie Barnes, Ibrahim Fahoum, Gal Keren‐Paz, Mario Sofer, Ofer Yossepowitch, Snir Dekalo, Avi Beri, Roy Mano   +13 more
wiley   +1 more source

Prognostic Value of MRI‐Derived Apparent Diffusion Coefficient in Intermediate‐Risk Prostate Cancer Treated With Definitive Radiotherapy

The Prostate, EarlyView.
ABSTRACT Background Intermediate‐risk prostate cancer (IR‐PCa) is a heterogeneous disease with variable clinical outcomes despite established risk classification. We evaluated whether pretreatment tumor apparent diffusion coefficient (ADC) derived from multiparametric MRI was associated with long‐term outcomes and provided additional prognostic ...
Cem Onal, Gurcan Erbay, Aysenur Elmali, Birhan Demirhan, Ozan Cem Guler   +4 more
wiley   +1 more source

A sample size analysis of a mathematical model of longitudinal tumor volume and progression‐free survival for Bayesian individual dynamic predictions in recurrent high‐grade glioma

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 495-509, March 2025.
Abstract Patients with recurrent high‐grade glioma (rHGG) have a poor prognosis with median progression‐free survival (PFS) of <7 months. Responses to treatment are heterogenous, suggesting a clinical need for prognostic models. Bayesian data analysis can exploit individual patient follow‐up imaging studies to adaptively predict the risk of progression.
Daniel J. Glazar, Solmaz Sahebjam, Hsiang‐Husan M. Yu, Dung‐Tsa Chen, Menal Bhandari, Heiko Enderling   +5 more
wiley   +1 more source

Advances in new ultrasound technologies in targeted prostate biopsy (Review). [PDF]

Exp Ther Med
Jin T, Wang L, Zheng S.
europepmc   +1 more source

Transperineal versus transrectal multi-parametric magnetic resonance imaging fusion targeted prostate biopsy. [PDF]

Saudi Med J, 2021
Rabah D, Al-Taweel W, Khan F, Arafa M, Mehmood S, Mokhtar A, Farhat K.   +6 more
europepmc   +1 more source

Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 540-550, March 2025.
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou, Anne Auperin, Jôel Guigay, Sébastien Salas, Sebastien Benzekry   +4 more
wiley   +1 more source

Clinical significance of quantification of perineural cancer invasion on MRI-targeted prostate biopsy. [PDF]

Diagn Pathol
Ramineni M, Wang Y, Miyamoto H.
europepmc   +1 more source