Evaluating the Role of Leakage Correction of Hemodynamic Parameters derived from Dynamic Contrast Enhanced MRI for Glioma Grading

IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Magnetic Resonance Imaging Pub Date : 2024-12-13 DOI:10.1002/jmri.29681
Dinil Sasi Sankaralayam PhD, Anandh K. Ramaniharan PhD, Rakesh Kumar Gupta MD, Rana Patir MCh, Sunita Ahlawat MD, Sandeep Vaishya MCh, Anup Singh PhD
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Abstract

SHOWS STRUCTURAL IMAGES AND VARIOUS PARAMETER MAPS COMPUTED USING FIRST-PASS ANALYSIS, CTUM AND PATLAK-MODEL (B–J) IN A PATIENT WITH IDH WILD TYPE GLIOBLASTOMA. (A) POSTCONTRAST T1-W, (B) RCBF, (C) RCBV, (D) FLAIR, (E) RCBF_CORR, (F) RCBV_CORR, (G) RVP (PATLAK-MODEL), AND (H) RFP. CTUM= COMPARTMENTAL TISSUE UPTAKE MODEL; CBV = CEREBRAL BLOOD VOLUME; CBF = CEREBRAL BLOOD FLOW (CBF); CBV_CORR = LEAKAGE CORRECTED CBV; CBF_CORR = LEAKAGE CORRECTED CBF (R REPRESENTS NORMALIZED WITH RESPECT TO NORMAL-APPEARING WM). BY SANKARALAYAM ET AL. (509-511)

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CiteScore
9.70
自引率
6.80%
发文量
494
审稿时长
2 months
期刊介绍: The Journal of Magnetic Resonance Imaging (JMRI) is an international journal devoted to the timely publication of basic and clinical research, educational and review articles, and other information related to the diagnostic applications of magnetic resonance.
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Editorial for "Assessing the Performance of Artificial Intelligence Assistance for Prostate MRI: A Two-Center Study Involving Radiologists With Different Experience Levels". A Review of MRI Acoustic Noise Outputs and Hearing Protection Device Performance. Incorporating Radiologist Knowledge Into MRI Quality Metrics for Machine Learning Using Rank-Based Ratings. Issue Information Evaluation of Neurovascular Coupling in Early-Onset and Late-Onset Epilepsy of Unknown Etiology.
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