Xiaoxu Yang1,2, Fang Wu2, Yuehong Liu1, Jiangang Duan3, Marc Fisher4, Xunming Ji5, Ran Meng6, Huibo Zhang1, Zhaoyang Fan7, Qi Yang8,9,10. 1. Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, No. 8 Gongti Nanlu, Chaoyang District, Beijing, 100020, China. 2. Department of Radiology, Xuanwu Hospital, Beijing, China. 3. Department of Emergency, Xuanwu Hospital, Beijing, China. 4. Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA. 5. Department of Neurosurgery, Xuanwu Hospital, Beijing, China. 6. Department of Neurology, Xuanwu Hospital, Beijing, China. 7. Radiology and Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA. zhaoyang.fan@med.usc.edu. 8. Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, No. 8 Gongti Nanlu, Chaoyang District, Beijing, 100020, China. yangyangqiqi@gmail.com. 9. Beijing Laboratory for Cardiovascular Precision Medicine, Beijing, China. yangyangqiqi@gmail.com. 10. Key Laboratory of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China. yangyangqiqi@gmail.com.
Abstract
OBJECTIVES: MR black-blood thrombus imaging (BTI) has been developed for the detection of cerebral venous thrombosis (CVT). Yet, there is a lack of real-world data to verifying its clinical performance. This study aims to evaluate the performance of BTI in diagnosing and staging CVT in a 5-year period. METHODS: Patients suspected of CVT were enrolled between 2014 and 2019. Patients with or without BTI scans were classified into group A and group B, respectively. The prevalence of correct diagnosis of CVT and patients with evaluable clot age were compared. The diagnostic performance of BTI including sensitivity, specificity, and specific staging information was further analyzed. RESULTS: Two hundred and twenty-one of the 308 patients suspected of CVT were eligible in the current study (114 in group A and 97 in group B), with 125 diagnosed by multidisciplinary teams to have CVTs (56 in group A, 69 in group B). The rate of correct diagnosis of CVT was higher in group A than that in group B (94.7% vs 60.8%, p < 0.001, x2 = 36.517) after adding BTI images. The percent of patients with evaluable staged segments between the two groups were 96.4% and 33.9%, respectively (x2 = 48.191, p < 0.001). BTI showed a sensitivity of 96.4% and 87.9% in the detection of CVT on per-patient and per-segment level, respectively. Up to 98.1% of all thrombosed segments could be staged by BTI and 59.6% of them were matched with clinical staging. CONCLUSIONS: In the actual clinical practice, BTI improves diagnostic confidence and has an excellent performance in confirming and staging CVT. KEY POINTS: • Black-blood thrombus imaging has good diagnostic performance in detecting cerebral venous thrombosis compared to traditional imaging methods with strong evidence in the actual clinical setting. • BTI helps clinicians to diagnose CVT with more accuracy and confidence, which can be served as a promising imaging examination. • BTI can also provide additional information of different thrombus ages objectively, the valuable reference for clinical strategy.
OBJECTIVES: MR black-blood thrombus imaging (BTI) has been developed for the detection of cerebral venous thrombosis (CVT). Yet, there is a lack of real-world data to verifying its clinical performance. This study aims to evaluate the performance of BTI in diagnosing and staging CVT in a 5-year period. METHODS: Patients suspected of CVT were enrolled between 2014 and 2019. Patients with or without BTI scans were classified into group A and group B, respectively. The prevalence of correct diagnosis of CVT and patients with evaluable clot age were compared. The diagnostic performance of BTI including sensitivity, specificity, and specific staging information was further analyzed. RESULTS: Two hundred and twenty-one of the 308 patients suspected of CVT were eligible in the current study (114 in group A and 97 in group B), with 125 diagnosed by multidisciplinary teams to have CVTs (56 in group A, 69 in group B). The rate of correct diagnosis of CVT was higher in group A than that in group B (94.7% vs 60.8%, p < 0.001, x2 = 36.517) after adding BTI images. The percent of patients with evaluable staged segments between the two groups were 96.4% and 33.9%, respectively (x2 = 48.191, p < 0.001). BTI showed a sensitivity of 96.4% and 87.9% in the detection of CVT on per-patient and per-segment level, respectively. Up to 98.1% of all thrombosed segments could be staged by BTI and 59.6% of them were matched with clinical staging. CONCLUSIONS: In the actual clinical practice, BTI improves diagnostic confidence and has an excellent performance in confirming and staging CVT. KEY POINTS: • Black-blood thrombus imaging has good diagnostic performance in detecting cerebral venous thrombosis compared to traditional imaging methods with strong evidence in the actual clinical setting. • BTI helps clinicians to diagnose CVT with more accuracy and confidence, which can be served as a promising imaging examination. • BTI can also provide additional information of different thrombus ages objectively, the valuable reference for clinical strategy.
Authors: G Wang; X Yang; J Duan; N Zhang; M M Maya; Y Xie; X Bi; X Ji; D Li; Q Yang; Z Fan Journal: AJNR Am J Neuroradiol Date: 2019-09-26 Impact factor: 3.825