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272 related items for PubMed ID: 29665763
1. Neuroimaging Radiological Interpretation System for Acute Traumatic Brain Injury. Wintermark M, Li Y, Ding VY, Xu Y, Jiang B, Ball RL, Zeineh M, Gean A, Sanelli P. J Neurotrauma; 2018 Nov 15; 35(22):2665-2672. PubMed ID: 29665763 [Abstract] [Full Text] [Related]
2. Validation of the NeuroImaging Radiological Interpretation System for Acute Traumatic Brain Injury. Zhou B, Ding VY, Li Y, Ball RL, Jiang B, Zhu G, Boothroyd D, Zeineh M, Gean A, Wintermark M. J Comput Assist Tomogr; 2019 Nov 15; 43(5):690-696. PubMed ID: 31490891 [Abstract] [Full Text] [Related]
3. Demographics and clinical characteristics of acute traumatic brain injury patients in the different Neuroimaging Radiological Interpretation System (NIRIS) categories. Chen H, Li Y, Jiang B, Zhu G, Rezaii PG, Lu G, Wintermark M. J Neuroradiol; 2021 Mar 15; 48(2):104-111. PubMed ID: 31323305 [Abstract] [Full Text] [Related]
4. Interobserver Agreement for the Computed Tomography Severity Grading Scales for Acute Traumatic Brain Injury. Creeden S, Ding VY, Parker JJ, Jiang B, Li Y, Lanzman B, Trinh A, Khalaf A, Wolman D, Halpern CH, Boothroyd D, Wintermark M. J Neurotrauma; 2020 Jun 15; 37(12):1445-1451. PubMed ID: 31996087 [Abstract] [Full Text] [Related]
5. Prediction of In-Hospital Outcomes in Patients with Traumatic Brain Injury Using Computed Tomographic Scoring Systems: A Comparison Between Marshall, Rotterdam, and Neuroimaging Radiological Interpretation Systems. Sadighi N, Talari H, Zafarmandi S, Ahmadianfard S, Baigi V, Fakharian E, Moussavi N, Sharif-Alhoseini M. World Neurosurg; 2023 Jul 15; 175():e271-e277. PubMed ID: 36958718 [Abstract] [Full Text] [Related]
6. External validation of the NeuroImaging Radiological Interpretation System and Helsinki computed tomography score for mortality prediction in patients with traumatic brain injury treated in the intensive care unit: a Finnish intensive care consortium study. Vehviläinen J, Skrifvars M, Reinikainen M, Bendel S, Laitio R, Hoppu S, Ala-Kokko T, Siironen J, Raj R. Acta Neurochir (Wien); 2022 Oct 15; 164(10):2709-2717. PubMed ID: 36050580 [Abstract] [Full Text] [Related]
7. Validation of a deep learning model for traumatic brain injury detection and NIRIS grading on non-contrast CT: a multi-reader study with promising results and opportunities for improvement. Jiang B, Ozkara BB, Creeden S, Zhu G, Ding VY, Chen H, Lanzman B, Wolman D, Shams S, Trinh A, Li Y, Khalaf A, Parker JJ, Halpern CH, Wintermark M. Neuroradiology; 2023 Nov 15; 65(11):1605-1617. PubMed ID: 37269414 [Abstract] [Full Text] [Related]
8. Sequential changes in Rotterdam CT scores related to outcomes for patients with traumatic brain injury who undergo decompressive craniectomy. Fujimoto K, Miura M, Otsuka T, Kuratsu J. J Neurosurg; 2016 Jun 15; 124(6):1640-5. PubMed ID: 26495949 [Abstract] [Full Text] [Related]
11. Accuracy of head computed tomography scoring systems in predicting outcomes for patients with moderate to severe traumatic brain injury: A ProTECT III ancillary study. Wu H, Wright DW, Allen JW, Ding V, Boothroyd D, Glushakova OY, Hayes R, Jiang B, Wintermark M. Neuroradiol J; 2023 Feb 15; 36(1):38-48. PubMed ID: 35533263 [Abstract] [Full Text] [Related]
17. Evaluation of novel computerized tomography scoring systems in human traumatic brain injury: An observational, multicenter study. Thelin EP, Nelson DW, Vehviläinen J, Nyström H, Kivisaari R, Siironen J, Svensson M, Skrifvars MB, Bellander BM, Raj R. PLoS Med; 2017 Aug 29; 14(8):e1002368. PubMed ID: 28771476 [Abstract] [Full Text] [Related]
18. A comparative study between Marshall and Rotterdam CT scores in predicting early deaths in patients with traumatic brain injury in a major tertiary care hospital in Nepal. Munakomi S. Chin J Traumatol; 2016 Aug 29; 19(1):25-7. PubMed ID: 27033268 [Abstract] [Full Text] [Related]