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 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.

Prediction model for growth trends of subpleural subsolid nodules using CT radiomics and radiological features.

Subpleural subsolid nodules (SSNs) pose challenges in early malignant transformation risk stratification, leading to over-surveillance or delayed treatment. To develop a radiological-radiomics combined model for predicting growth of subpleural SSNs and optimizing individualized follow-up strategies. This retrospective study included 494 subpleural SSNs (training set: 345; test set: 149) with ≥ 3 years follow-up CT.