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FFR-Negative Nonculprit High-Risk Plaques and Clinical Outcomes in High-Risk Populations: An Individual Patient-Data Pooled Analysis From COMBINE (OCT-FFR) and PECTUS-obs.
Circ Cardiovasc Interv
January 2025
Department of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands (R.H.J.A.V., J.-Q.M., N.v.R.).
Background: Despite fractional flow reserve (FFR)-guided deferral of revascularization, recurrent events in patients with diabetes or after myocardial infarction remain common. This study aimed to assess the association between FFR-negative but high-risk nonculprit lesions and clinical outcomes.
Methods: This is a patient-level pooled analysis of the prospective natural-history COMBINE (OCT-FFR) study (Optical Coherence Tomography Morphologic and Fractional Flow Reserve Assessment in Diabetes Mellitus Patients) and PECTUS-obs study (Identification of Risk Factors for Acute Coronary Events by OCT After STEMI and NSTEMI Patients With Residual Non- Flow Limiting Lesions).
Masticatory muscle changes on magnetic resonance imaging of dogs with compared to meningoencephalitis of unknown origin.
Front Vet Sci
January 2025
Anderson Moores Veterinary Specialists, Linnaeus Veterinary Limited, Winchester, United Kingdom.
Infectious meningoencephalitides represent an important differential diagnosis for meningoencephalitis of unknown origin (MUO) in dogs. Treatment of the latter requires immunosuppression, but laboratory test results for infectious agents may take several days to return. This study investigated whether the presence of masticatory muscle changes on magnetic resonance imaging (MRI) of the head can be used to distinguish dogs with neosporosis from those with MUO at the time of diagnosis.
View Article and Find Full Text PDFEfficiency and safety of HAIC combined with lenvatinib and tislelizumab for advanced hepatocellular carcinoma with high tumor burden: a multicenter propensity score matching analysis.
Front Pharmacol
January 2025
Department of Oncology, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Purpose: The present work focused on assessing whether hepatic arterial infusion chemotherapy (HAIC) combined with lenvatinib and tislelizumab was safe and effective on advanced hepatocellular carcinoma (HCC) showing high tumor burden.
Methods: In the present multicenter retrospective study, treatment-naive advanced HCC patients (BCLC stage C) showing high tumor burden (maximum diameter of intrahepatic lesion beyond 7 cm) treated with lenvatinib and tislelizumab with or without HAIC were reviewed for eligibility from June 2020 to June 2023. Baseline differences between groups were mitigated by propensity score matching (PSM).
Clinical Outcomes of Isolated ACL Reconstruction Versus Combined ACL and ALL Reconstruction With Indication Guided by Intraoperative Ultrasound: A Propensity Score-Matched Study of 260 Patients With a Minimum 2-Year Follow-up.
Orthop J Sports Med
January 2025
Department of Orthopaedic Surgery, Hôpital Pierre Paul Riquet, CHU de Toulouse, Toulouse, France.
Background: Additional anterolateral ligament (ALL) reconstruction has been associated with improved clinical outcomes and reduced failure rates in anterior cruciate ligament (ACL) reconstruction. Despite the excellent clinical results reported, there is still a heated debate about its indications. Currently, the indications are mainly based on the patient's clinical criteria and not the imaging diagnosis of the injury of this ligament.
View Article and Find Full Text PDFInverse Gini indexed averaging: A multi-leveled ensemble approach for skin lesion classification using attention-integrated customized ResNet variants.
Digit Health
January 2025
Civil Engineering Department, Daffodil International University, Dhaka, Bangladesh.
Objective: To improve the accuracy and explainability of skin lesion detection and classification, particularly for several types of skin cancers, through a novel approach based on the convolutional neural networks with attention-integrated customized ResNet variants (CRVs) and an optimized ensemble learning (EL) strategy.
Methods: Our approach utilizes all ResNet variants combined with three attention mechanisms: channel attention, soft attention, and squeeze-excitation attention. These attention-integrated ResNet variants are aggregated through a unique multi-level EL strategy.
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