Evaluating the state of non-invasive imaging biomarkers for traumatic brain injury.
Autor: | Pugazenthi S; Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO, 63110, USA., Hernandez-Rovira MA; Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO, 63110, USA., Mitha R; Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA., Rogers JL; Vanderbilt University School of Medicine, Nashville, TN, 37235, USA., Lavadi RS; Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA., Kann MR; Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO, 63110, USA., Cardozo MR; Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO, 63110, USA., Hardi A; Becker Medical Library, Washington University School of Medicine, St. Louis, MO, 63110, USA., Elsayed GA; Och Spine, Weill Cornell Medicine, New-York Presbyterian Hospital, New York City, NY, USA., Joseph J; Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, 48109, USA., Housley SN; School of Applied Physiology, Georgia Institute of Technology, Atlanta, GA, 30332, USA.; Integrated Cancer Research Center, Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, 30332, USA., Agarwal N; Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA. nitin.agarwal@upmc.edu.; Department of Neurological Surgery, University of Pittsburgh Medical Center, 200 Lothrop Street, Pittsburgh, PA, 15213, USA. nitin.agarwal@upmc.edu. |
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Jazyk: | angličtina |
Zdroj: | Neurosurgical review [Neurosurg Rev] 2023 Sep 08; Vol. 46 (1), pp. 232. Date of Electronic Publication: 2023 Sep 08. |
DOI: | 10.1007/s10143-023-02085-2 |
Abstrakt: | Non-invasive imaging biomarkers are useful for prognostication in patients with traumatic brain injury (TBI) at high risk for morbidity with invasive procedures. The authors present findings from a scoping review discussing the pertinent biomarkers. Embase, Ovid-MEDLINE, and Scopus were queried for original research on imaging biomarkers for prognostication of TBI in adult patients. Two reviewers independently screened articles, extracted data, and evaluated risk of bias. Data was synthesized and confidence evaluated with the linked evidence according to the Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) approach. Our search yielded 3104 unique citations, 44 of which were included in this review. Study populations varied in TBI severity, as defined by Glasgow Coma Scale (GCS), including: mild (n=9), mild and moderate (n=3), moderate and severe (n=7), severe (n=6), and all GCS scores (n=17). Diverse imaging modalities were used for prognostication, predominantly computed tomography (CT) only (n=11), magnetic resonance imaging (MRI) only (n=9), and diffusion tensor imaging (DTI) (N=9). The biomarkers included diffusion coefficient mapping, metabolic characteristics, optic nerve sheath diameter, T1-weighted signal changes, cortical cerebral blood flow, axial versus extra-axial lesions, T2-weighted gradient versus spin echo, translocator protein levels, and trauma imaging of brainstem areas. The majority (93%) of studies identified that the imaging biomarker of interest had a statistically significant prognostic value; however, these are based on a very low to low level of quality of evidence. No study directly compared the effects on specific TBI treatments on the temporal course of imaging biomarkers. The current literature is insufficient to make a strong recommendation about a preferred imaging biomarker for TBI, especially considering GRADE criteria revealing low quality of evidence. Rigorous prospective research of imaging biomarkers of TBI is warranted to improve the understanding of TBI severity. (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.) |
Databáze: | MEDLINE |
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