Predicting periprocedural complications risk in intracranial angioplasty and stenting from integrated high-resolution vessel wall imaging radiomics and clinical characteristics.
Purpose: To develop and validate an integrated model based on MR high-resolution vessel wall imaging (HR-VWI) radiomics and clinical features to preoperatively assess periprocedural complications (PC) risk in patients with intracranial atherosclerotic disease (ICAD) undergoing percutaneous translumi...
| Publicado en: | Neuroradiology Vol. 67; no. 9; pp. 2459 - 2470 |
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| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Sep2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188799175&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188799175 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00283940 NYZ jtl: Neuroradiology issn: 00283940 maglogo: N pubinfo: dt: Sep2025 vid: 67 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 188799175 187807035 188799175 188799175 10.1007/s00234-025-03757-0 188799175 ppf: 2459 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Predicting periprocedural complications risk in intracranial angioplasty and stenting from integrated high-resolution vessel wall imaging radiomics and clinical characteristics. aug: au: Guo, Yu Yuan, Chengxiu Su, Yuwen Wang, Zhe Li, Songchuan Wang, Bao Hu, Chunhong affil: https://ror.org/051jg5p78 Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China sug: subj: Intracranial Arteriosclerosis Radiography Intracranial Arteriosclerosis Surgery Intracranial Arteriosclerosis Diagnosis Angioplasty, Transluminal, Percutaneous Coronary Adverse Effects Stents Adverse Effects Radiomics Magnetic Resonance Imaging Postoperative Complications Risk Factors Risk Assessment Human Male Female Middle Age Multicenter Studies Retrospective Design Record Review Multivariate Analysis Multiple Logistic Regression Odds Ratio Confidence Intervals Image Interpretation, Computer Assisted Decision Support Techniques Predictive Value of Tests ROC Curve Validation Studies One-Way Analysis of Variance Kruskal-Wallis Test Chi Square Test Fisher's Exact Test Univariate Statistics Statistical Significance Data Analysis Software Descriptive Statistics Middle Aged: 45-64 years Male Female ab: Purpose: To develop and validate an integrated model based on MR high-resolution vessel wall imaging (HR-VWI) radiomics and clinical features to preoperatively assess periprocedural complications (PC) risk in patients with intracranial atherosclerotic disease (ICAD) undergoing percutaneous transluminal angioplasty and stenting (PTAS). Methods: This multicenter retrospective study enrolled 601 PTAS patients (PC+, n = 84; PC −, n = 517) from three centers. Patients were divided into training (n = 336), validation (n = 144), and test (n = 121) cohorts. All patients underwent preoperative HR-VWI (precontrast T1-weighted [T1] and postcontrast T1-weighted [T1CE] sequences). We extracted 2,396 radiomic features and selected clinical variables via multivariate logistic regression. Radiomics, clinical and integrated model were developed. Model performance was evaluated using areas under the curve (AUC) and DeLong test. Decision Curve Analysis (DCA) was used to evaluate the net benefit of each model. Results: Age was the sole independent clinical predictor (OR = 1.06, p = 0.001). The integrated model demonstrated favorable predictive performance in the training cohort (AUC: 0.93, 95% CI [0.88, 0.96]), validation cohort (AUC: 0.87, 95% CI [0.74, 0.99]), and test cohort (AUC: 0.87, 95% CI [0.78, 0.95]). It significantly outperformed all clinical models (AUC range: 0.59–0.73; all p < 0.05) and showed performance comparable to the optimal radiomics model (T1-T1CE model; AUC range: 0.80–0.91; all p > 0.05).Notably, the DCA curve indicated that the integrated model achieved the optimal clinical net benefit across the 0–90% threshold range in the test cohort. Conclusion: The integrated model demonstrates clinical utility for preoperative PC risk stratification in PTAS patients. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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