Brainstem glioma: Prediction of histopathologic grade based on conventional MR imaging. Issue 1 (February 2018)
- Record Type:
- Journal Article
- Title:
- Brainstem glioma: Prediction of histopathologic grade based on conventional MR imaging. Issue 1 (February 2018)
- Main Title:
- Brainstem glioma: Prediction of histopathologic grade based on conventional MR imaging
- Authors:
- Moharamzad, Yashar
Sanei Taheri, Morteza
Niaghi, Farhad
Shobeiri, Elham - Abstract:
- Objective: The objective of this article is to investigate the association between specific MR imaging findings and histopathologic grading (low-grade vs. high-grade) of brainstem gliomas (BSGs). Methods: Sixty-two males and 34 females (mean (standard deviation, SD) age of 24.61 (17.20) years, range = 3 to 70 years) with histologically diagnosed BSG underwent conventional 1.5 T MR imaging, which included T1-weighted (T1W), T2W, and post-contrast T1W sequences. There were 39 children (mean age of 9.38 years) and 57 adults (mean age of 35 years). A binary logistic regression analysis was used to explore associations between MRI features and histopathological grade of the BSG. Results: Binary logistic regression revealed that necrosis (adjusted odds ratio (OR) = 16.07; 95% confidence interval (CI) = 3.20 to 80.52; p = 0.001) and inhomogeneous contrast enhancement (adjusted OR = 8.04; 95% CI = 1.73 to 37.41; p = 0.008) as significant predictors of high-grade BSG. The equation (Nagelkerke R 2 = 0.575) is Logit ( p high-grade BSG) = (2.77 × necrosis) + (2.08 × heterogeneous contrast enhancement) – 3.13. Sensitivity and specificity values were respectively 66.7% and 96.0% for necrosis and 85.7% and 65.9% for inhomogeneous contrast-enhancing lesions. In the pediatric age group, only inhomogeneous contrast enhancement (adjusted OR = 40; 95% CI = 3.95 to 445.73; p = 0.002) was a significant predictor for high-grade BSG. Conclusion: Conventional MR imaging features such as necrosisObjective: The objective of this article is to investigate the association between specific MR imaging findings and histopathologic grading (low-grade vs. high-grade) of brainstem gliomas (BSGs). Methods: Sixty-two males and 34 females (mean (standard deviation, SD) age of 24.61 (17.20) years, range = 3 to 70 years) with histologically diagnosed BSG underwent conventional 1.5 T MR imaging, which included T1-weighted (T1W), T2W, and post-contrast T1W sequences. There were 39 children (mean age of 9.38 years) and 57 adults (mean age of 35 years). A binary logistic regression analysis was used to explore associations between MRI features and histopathological grade of the BSG. Results: Binary logistic regression revealed that necrosis (adjusted odds ratio (OR) = 16.07; 95% confidence interval (CI) = 3.20 to 80.52; p = 0.001) and inhomogeneous contrast enhancement (adjusted OR = 8.04; 95% CI = 1.73 to 37.41; p = 0.008) as significant predictors of high-grade BSG. The equation (Nagelkerke R 2 = 0.575) is Logit ( p high-grade BSG) = (2.77 × necrosis) + (2.08 × heterogeneous contrast enhancement) – 3.13. Sensitivity and specificity values were respectively 66.7% and 96.0% for necrosis and 85.7% and 65.9% for inhomogeneous contrast-enhancing lesions. In the pediatric age group, only inhomogeneous contrast enhancement (adjusted OR = 40; 95% CI = 3.95 to 445.73; p = 0.002) was a significant predictor for high-grade BSG. Conclusion: Conventional MR imaging features such as necrosis and inhomogeneous contrast enhancement in adults and heterogeneous contrast enhancement in children suggest high-grade BSG. … (more)
- Is Part Of:
- Neuroradiology journal. Volume 31:Issue 1(2018:Feb.)
- Journal:
- Neuroradiology journal
- Issue:
- Volume 31:Issue 1(2018:Feb.)
- Issue Display:
- Volume 31, Issue 1 (2018)
- Year:
- 2018
- Volume:
- 31
- Issue:
- 1
- Issue Sort Value:
- 2018-0031-0001-0000
- Page Start:
- 10
- Page End:
- 17
- Publication Date:
- 2018-02
- Subjects:
- Glioma -- tumor -- brainstem -- central nervous system -- magnetic resonance imaging -- pathology -- adult -- pediatrics
Nervous system -- Radiography -- Periodicals
Neuroradiography -- Periodicals
Electronic journals
616.804757 - Journal URLs:
- http://neu.sagepub.com/ ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/2437/ ↗
http://www.theneuroradiologyjournal.it/ ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/1971400917743099 ↗
- Languages:
- English
- ISSNs:
- 1971-4009
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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