Inferior vena cava filter thromboprophylaxis in surgical cancer patients.

BACKGROUND AND OBJECTIVES: This study evaluated the utilization and outcomes of inferior vena cava (IVC) filters as thromboprophylaxis in cancer patients undergoing surgery. METHODS: This single-center retrospective study analyzed baseline patient characteristics and clinical outcomes of surgical cancer patients who received perioperative prophylactic IVC filters. Primary clinical endpoints included venous thromboembolism (VTE) incidence and filter complications. A statistical correlative analysis was conducted to identify risk factors related to pulmonary embolism (PE), deep vein thrombosis (DVT), and filter thrombi, as well as advanced technique filter removal and mortality at 6 months. RESULTS: A total of 252 surgical oncology patients (median age, 59; female 51%) received IVC filters for the perioperative prevention of PE. Primary surgical sites included spine (n = 91, 36%), orthopedic extremity/joint (n = 49, 19%), genitourinary (n = 47, 19%), brain/cranial (n = 40, 16%), abdominal (n = 18, 7%), multisite (n = 4, 2%), and chest (n = 3, 1%). Moreover, 15% of patients experienced DVTs in the postplacement preretrieval period, while 2% (n = 6) of patients experienced definitive PEs. A total of 36% of IVC filters were ultimately retrieved, with an average filter dwell time of 7.4 months. Complications occurred in one retrieval. CONCLUSION: Prophylactic perioperative IVC filters in surgical cancer patients resulted in minimal complications while ultimately resulting in a low incidence of PE.

Utility and Clinical Outcomes of Perioperative Inferior Vena Cava Filter Prophylaxis in Spine Surgery Patients.

STUDY DESIGN: Single-center retrospective chart review study. OBJECTIVE: This study aimed to assess the clinical outcomes of prophylactic inferior vena cava (IVC) filter use for pulmonary embolism (PE) prevention in spine surgery patients. SUMMARY OF BACKGROUND DATA: IVC filters can serve an important prophylactic role in preventing PE, though research involving spine surgery patients is sparse. MATERIALS AND METHODS: This Institutional Review Board-approved single-center retrospective study assessed the characteristics and outcomes of patients who underwent spine surgery and received perioperative IVC filters for PE prophylaxis from January 2007 until December 2021. Clinical outcomes centered primarily on the occurrence of venous thromboembolism (VTE) as well as complications related to filter placement and retrieval. Thrombi that may have been entrapped by the filters were recorded incidentally on computed tomography or during the filter retrieval procedure. RESULTS: This cohort included 380 spine surgery patients (female 51%/male 49%; median age, 61) who had received perioperative prophylactic IVC filters. The mean dwell time was 6.7 months (1-39 mo), with an overall 62% retrieval rate. Retrievals were further categorized by retrieval complexity, with 92% classified as routine and 8% as involving advanced removal techniques, while complications involved 1% (four retrievals) and were all minor. Regarding VTE event occurrence, deep vein thrombi (DVT) were experienced by 11% of patients in the postplacement period, with 1% (n=4) experiencing a PE. There were 11 incidences of thrombi that were found within or near the filters (2.9%). A multivariate analysis further assessed patient characteristics that correlated with the occurrence of PE, DVT, entrapped filter thrombi, advanced technique filter removal, and removal complications. CONCLUSIONS: IVC filters in this high-risk spine surgery cohort achieved a relatively low rate of DVT and PE as well as a low complication rate, whereas several patient characteristics were identified that correlated with VTE events and filter retrieval outcomes.

Artificial Intelligence in Neuroradiology: A Review of Current Topics and Competition Challenges.

There is an expanding body of literature that describes the application of deep learning and other machine learning and artificial intelligence methods with potential relevance to neuroradiology practice. In this article, we performed a literature review to identify recent developments on the topics of artificial intelligence in neuroradiology, with particular emphasis on large datasets and large-scale algorithm assessments, such as those used in imaging AI competition challenges. Numerous applications relevant to ischemic stroke, intracranial hemorrhage, brain tumors, demyelinating disease, and neurodegenerative/neurocognitive disorders were discussed. The potential applications of these methods to spinal fractures, scoliosis grading, head and neck oncology, and vascular imaging were also reviewed. The AI applications examined perform a variety of tasks, including localization, segmentation, longitudinal monitoring, diagnostic classification, and prognostication. While research on this topic is ongoing, several applications have been cleared for clinical use and have the potential to augment the accuracy or efficiency of neuroradiologists.