BACKGROUND: Determination of isocitrate dehydrogenase (IDH) status and, if IDH-mutant, assessing 1p19q codeletion are an important component of diagnosis of World Health Organization grades II/III or lower-grade gliomas. This has led to research into noninvasively correlating imaging features ("radiomics") with genetic status. PURPOSE: Our aim was to perform a diagnostic test accuracy systematic review for classifying IDH and 1p19q status using MR imaging radiomics, to provide future directions for integration into clinical radiology. DATA SOURCES: Ovid (MEDLINE), Scopus, and the Web of Science were searched in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Diagnostic Test Accuracy guidelines. STUDY SELECTION: Fourteen journal articles were selected that included 1655 lower-grade gliomas classified by their IDH and/or 1p19q status from MR imaging radiomic features. DATA ANALYSIS: For each article, the classification of IDH and/or 1p19q status using MR imaging radiomics was evaluated using the area under curve or descriptive statistics. Quality assessment was performed with the Quality Assessment of Diagnostic Accuracy Studies 2 tool and the radiomics quality score. DATA SYNTHESIS: The best classifier of IDH status was with conventional radiomics in combination with convolutional neural network-derived features (area under the curve ¼ 0.95, 94.4% sensitivity, 86.7% specificity). Optimal classification of 1p19q status occurred with texture-based radiomics (area under the curve ¼ 0.96, 90% sensitivity, 89% specificity). LIMITATIONS: A meta-analysis showed high heterogeneity due to the uniqueness of radiomic pipelines. CONCLUSIONS: Radiogenomics is a potential alternative to standard invasive biopsy techniques for determination of IDH and 1p19q status in lower-grade gliomas but requires translational research for clinical uptake. ABBREVIATIONS: AI ¼ artificial intelligence; AUC ¼ area under the curve; CNN ¼ convolutional neural network; IDH ¼ isocitrate dehydrogenase; IDH-mut ¼ IDH-mutant; LGG ¼ lower-grade gliomas; ML ¼ machine learning; PRISMA-DTA ¼ Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Diagnostic Test Accuracy; QUADAS-2 ¼ Quality Assessment of Diagnostic Accuracy Studies 2; RQS ¼ radiomics quality score; SVM ¼ support vector machine; VASARI ¼ Visually Accessible Rembrandt Images; WHO ¼ World Health Organization

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Introduction: Venous thromboembolism (VTE) affects approximately 17,000 Australians annually. While anticoagulation is the mainstay of treatment, inferior vena cava filters (IVCFs) are used in patients where this is contraindicated. The primary aim was to identify risk factors for complex retrievals and IVCF-related complications following the establishment of a database at a single tertiary centre. The secondary aim was to evaluate the IVCF retrieval rate and patients lost to follow-up. Methods: A retrospective study at a single tertiary centre was conducted on IVCFs inserted from 2012 to 2018. Logistic regression models were used to evaluate potential risk factors for filter-related complications and complex retrievals. Results: In total, 402 patients had an IVCF inserted. Of these, 308 patients (77%) had a retrieval attempted, 10 (3%) of which required more than one retrieval attempt (complex retrieval). Factors associated with filter-related complications included dwell time (OR 1.02, 95% CI: 1.01-1.04) and select indications for insertion, namely VTE requiring thrombolysis/thrombectomy (OR 2.29, 95% CI: 1.02-5.16) and iliocaval/free-floating iliofemoral DVT without thrombectomy/thrombolysis (OR 5.89, 95% CI: 1.53-22.71). After mutual adjustment for all variables, only dwell time remained a significant factor for filter-related complications (adjusted OR 1.03, 95% CI: 1.01-1.05) and complex retrieval (AOR 1.05, 95% CI: 1.02-1.08). The annual retrieval rate increased from 73% (2012) to 83% (2018), with an overall retrieval rate of 75%. Conclusion: Dwell time is a potential risk factor for filter-related complications and complex retrievals. The annual IVCF retrieval rate was 75% since an Interventional Radiology-led database was established.

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