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Purpose: To develop and validate a model based on MRI radiomics modals for predicting surgical high FIGO(IB3 and ≥ IIA2) and low FIGO(IB1, IB2, and IIA1) stages in patients with cervical carcinoma (CC)., Methods: A total of 296 early-stage patients with CC (preoperative FIGO stages IB-IIA) confirmed by surgery and pathology were included in this retrospective study from two institutions For each patient,we extracted radiomics features from spectral attenuated inversion-recovery T2-weighted (SPAIR-T2W) and contrast-enhanced T1-weighted (CE-T1W) images.Manual segmentation was performed using the 3D Slicer software, while radiomics features were extracted, screened using the R software. A 2-stage feature extraction strategy involving univariate analysis and the Least Absolute Shrinkage Selection Operator technique was performed. A support vector machine-based model was eventually constructed. Predictive accuracy of the training and validation datasets was assessed in terms of area under the ROC curve (AUC)., Results: A total of 1130 features were extracted from SPAIR-T2WI and CET1WI images respectively, in which 8 and 7 features significantly were associated with FIGO staging. AUCs of the SPAIR-T2W and CE-T1W models were were 0.803 and 0.790, respectively, in the internal validation group. In the external validation group, the AUCs were 0.767 and 0.749, respectively, which increased to 0.771 in the combined model., Conclusion: Our study demonstrated the feasibility of radiomics features from SPAIR-T2W and CE-T1W images for the prediction of surgical FIGO stage in CC. Our proposed model thereby carries the potential as a non-invasive tool for the staging and treatment planning of this disease., Advances in Knowledge: A radiomics model provide a non-invasive and objective method for the detection of FIGO staging in patients with cervical cancer before surgery, thus providing a reference for the selection of treatment options for patients., (Copyright © 2023. Published by Elsevier Inc.)

Purpose: To investigate basilar artery atherosclerotic plaque distribution characteristics in symptomatic patients using 3.0T high-resolution MRI., Materials and Methods: Thirty-eight patients with recent ischemic strokes or transient ischemic attacks were included. Conventional angiographic luminal imaging of these patients showed at least 30% basilar artery stenosis. Patients then underwent basilar artery high-resolution MRI examinations (T2WI, T1WI and post-contrast enhanced T1WI in short axial and long axial views). The narrowest lumen plaque distribution was evaluated by cross-section division into four equal arcs (right, ventral, left and dorsal arcs) on the short axial T2-weighted images. The percent plaque fraction was calculated as arc plaque area/luminal area×100, with each compared by analysis., Results: The basilar artery lumens and walls were clearly shown in all 38 patients. The median plaque area sizes were 2.73mm(2) (range: 1.04-5.29mm(2)) on the ventral wall, 0.59mm(2) (range: 0-1.50mm(2)) on the left wall, 0.87mm(2) (range: 0-2.68mm(2)) on the dorsal wall, and 0.36mm(2) (range: 0-1.80mm(2)) on the right wall. The mean plaque fraction percentages were 21.6% (range: 7.9-34.0%) on the ventral wall, 4.6% (range: 0-10.0%) on the left wall, 6.3% (range: 0-16.3%) on the dorsal wall, and 2.6% (range: 0-12.9%) on the right wall. On the ventral wall, the plaque fraction percentage was significantly greater than the remaining three arcs (P=.000)., Conclusions: Basilar artery atherosclerotic plaques were mainly distributed at the ventral site of the artery. High-resolution MR examination may provide helpful information to minimize endovascular therapy risk complications in basilar artery atherosclerotic disease., (Crown Copyright © 2012. Published by Elsevier Ireland Ltd. All rights reserved.)

Abstract: Purpose: To assess the reproducibility of HR-MRI for the identification of MCA atherosclerotic plaque components and quantification of stenosis. Materials and methods: Seventy-three consecutive subjects who initially had ischemic stroke or asymptomatic MCA stenosis (>50%) were enrolled in the study. All subjects were scanned using 3.0T MRI. Two independent readers reviewed all images and one reader reevaluated all images four weeks later. The tissue components of plaques were analyzed qualitatively and the vessels were quantitative measured. Results: HR-MRI displayed the artery wall and lumen clearly. The intra-observer reproducibility was excellent for the identification of plaques (kappa [κ]=0.96; 95% CI: 0.83–1.04) and contrast enhancement (κ =0.89; 0.78–0.95); it was substantial for intra-plaque hemorrhage (κ =0.79; 0.57–0.96) and the fibrous cap (κ =0.65; 0.42–0.86). The inter-observer reproducibility was excellent for plaques (κ =0.92; 0.73–1.06), substantial for contrast enhancement (κ =0.80; 0.65–0.93), intra-plaque hemorrhage (κ =0.68; 0.47–0.92) and moderate for the fibrous cap (κ =0.58; 0.44–0.79). Both intra-observer and inter-observer reproducibility were excellent for quantitative vessel, lumen and wall measurements with intraclass correlation coefficients ranging from 0.91 to 0.97 and 0.87 to 0.96, respectively. However, vessel and wall areas and the intervals defined by the Bland–Altman plots were wide in comparison to the mean. Conclusions: The identification of MCA atherosclerotic plaque components and the quantification of vessel and lumen measurements are reproducible. The reproducibility is overall acceptable. HR-MRI may provide a useful tool for clinical risk evaluation in MCA atherosclerosis. [Copyright &y& Elsevier]