Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 7-Day Trial for You or Your Team.

Learn More →

Radiogenomics correlation between MR imaging features and major genetic profiles in glioblastoma

Radiogenomics correlation between MR imaging features and major genetic profiles in glioblastoma Objectives To assess the association between MR imaging features and major genomic profiles in glioblastoma. Methods Qualitative and quantitative imaging features such as volumetrics and histogram analysis from normalised CBV (nCBV) and ADC (nADC) were evaluated based on both T2WI and CET1WI. The imaging parameters of different genetic profile groups were compared and regression analyses were used for identifying imaging-molecular associations. Progression- free survival (PFS) was analysed by a Kaplan-Meier test and Cox proportional hazards model. Results An IDH mutation was observed in 18/176 patients, and ATRX loss was positive in 17/158 of the IDH-wt cases. The IDH-mut group showed a larger volume on T2WI and a higher volume ratio between T2WI and CET1WI than the IDH-wt group (p < 0.05). In the IDH-mut group, higher mean nADC values were observed compared with the IDH-wt tumours (p < 0.05). Among the IDH-wt tumours, IDH-wt, ATRX-loss tumours revealed higher 5th percentile nADC values than the IDH-wt, ATRX-noloss tumours (p= 0.03). PFS was the longest in the IDH-mut group, followed by the IDH-wt, ATRX-loss groups and the IDH-wt, ATRX-noloss groups, consecutively (p < 0.05). We found significant associations of PFS with the genetic profiles and imaging parameters. Conclusion Major genetic profiles http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png European Radiology Springer Journals

Radiogenomics correlation between MR imaging features and major genetic profiles in glioblastoma

Loading next page...
 
/lp/springer-journals/radiogenomics-correlation-between-mr-imaging-features-and-major-R89N0e0not

References (44)

Publisher
Springer Journals
Copyright
Copyright © 2018 by European Society of Radiology
Subject
Medicine & Public Health; Imaging / Radiology; Diagnostic Radiology; Interventional Radiology; Neuroradiology; Ultrasound; Internal Medicine
ISSN
0938-7994
eISSN
1432-1084
DOI
10.1007/s00330-018-5400-8
pmid
29721688
Publisher site
See Article on Publisher Site

Abstract

Objectives To assess the association between MR imaging features and major genomic profiles in glioblastoma. Methods Qualitative and quantitative imaging features such as volumetrics and histogram analysis from normalised CBV (nCBV) and ADC (nADC) were evaluated based on both T2WI and CET1WI. The imaging parameters of different genetic profile groups were compared and regression analyses were used for identifying imaging-molecular associations. Progression- free survival (PFS) was analysed by a Kaplan-Meier test and Cox proportional hazards model. Results An IDH mutation was observed in 18/176 patients, and ATRX loss was positive in 17/158 of the IDH-wt cases. The IDH-mut group showed a larger volume on T2WI and a higher volume ratio between T2WI and CET1WI than the IDH-wt group (p < 0.05). In the IDH-mut group, higher mean nADC values were observed compared with the IDH-wt tumours (p < 0.05). Among the IDH-wt tumours, IDH-wt, ATRX-loss tumours revealed higher 5th percentile nADC values than the IDH-wt, ATRX-noloss tumours (p= 0.03). PFS was the longest in the IDH-mut group, followed by the IDH-wt, ATRX-loss groups and the IDH-wt, ATRX-noloss groups, consecutively (p < 0.05). We found significant associations of PFS with the genetic profiles and imaging parameters. Conclusion Major genetic profiles

Journal

European RadiologySpringer Journals

Published: May 2, 2018

There are no references for this article.