Results 181 to 190 of about 76,947 (266)

MRI Predictors of Outcome in Primary Central Nervous System Lymphoma Patients Before and After Autologous Stem Cell Transplant

open access: yeseJHaem, Volume 7, Issue 4, August 2026.
ABSTRACT Introduction Primary CNS lymphoma (PCNSL) is treated with intensive chemotherapy and autologous stem cell transplant (HDT‐ASCT), yet up to one‐third of patients relapse. Standard MRI response criteria may not reliably distinguish residual tumour from post‐treatment change; additional MRI sequences, such as apparent diffusion coefficient (ADC),
Dewen Meng   +4 more
wiley   +1 more source

Assessment of Robustness of MRI Radiomic Features in Four Abdominal Organs: Impact of Deep Learning Reconstruction and Segmentation

open access: yesJournal of Magnetic Resonance Imaging, Volume 64, Issue 2, Page 468-479, August 2026.
ABSTRACT Background The impact of deep learning (DL) reconstruction and segmentation on MRI radiomics stability has not been fully assessed. Purpose To investigate the effects of acquisition, reconstruction, and segmentation on the reproducibility and variability of radiomic features in abdominal MRI. Study Type Prospective.
Jingyu Zhong   +14 more
wiley   +1 more source

Accurate estimation of intravoxel incoherent motion parameters based on implicit neural representation

open access: yesMedical Physics, Volume 53, Issue 8, August 2026.
Abstract BackgroundIntravoxel incoherent motion (IVIM) diffusion‐weighted imaging has important value in treatment response monitoring. However, traditional voxel‐wise independent fitting methods are highly sensitive to noise and do not utilize spatial correlation, resulting in unstable parameter estimation. Although existing deep learning methods have
Yunxiang Li   +4 more
wiley   +1 more source

Real‐world assessment of a deep learning neural network algorithm for prostate cancer detection in MRI using true de novo data

open access: yesMedical Physics, Volume 53, Issue 8, August 2026.
Abstract Background Deep‐learning neural network algorithms for detecting prostate cancer in MRI have proliferated in the literature. However, out of 30+ studies published since the PROSTATEx challenge, no studies tested the performance of their algorithm against using true external image data sets (studies came from an outside institution that did not
Steven M. Shea   +9 more
wiley   +1 more source

Navigator‐Based Slice Tracking for Multiband Accelerated Liver DWI

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 2, Page 852-861, August 2026.
ABSTRACT Purpose Clinical liver diffusion‐weighted imaging (DWI) suffers from long measurement time and respiratory motion. In this study, we employ a navigator‐based slice tracking technique (NAV) to prospectively compensate for respiratory motion in multiband (MB) accelerated liver DWI.
Ke Zhang   +8 more
wiley   +1 more source

Preclinical 1H MRS Study of a Porcine Model Shows Evidence and Mechanisms for Acute Neuronal Injury in Neonatal Cardiopulmonary Bypass (CPB) Surgery

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 2, Page 557-567, August 2026.
ABSTRACT Purpose Congenital heart disease affects 1% of US births, with some infants requiring cardiothoracic surgery under cardiopulmonary bypass (CPB). Optimal surgical parameters to minimize neuronal injury are unknown. We used serial 1H MRS in a neonatal CPB porcine model to assess acute neuronal damage and associated injury mechanisms.
Aaron Omon   +5 more
wiley   +1 more source

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