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Incremental Prognostic Value of ADC Histogram Analysis over MGMT Promoter Methylation Status in Patients with Glioblastoma

Authors
 Yoon Seong Choi  ;  Sung Soo Ahn  ;  Dong Wook Kim  ;  Jong Hee Chang  ;  Seok-Gu Kang  ;  Eui Hyun Kim  ;  Se Hoon Kim  ;  Tyler Hyungtaek Rim  ;  Seung-Koo Lee 
Citation
 Radiology, Vol.281(1) : 175-184, 2016 
Journal Title
 Radiology 
ISSN
 0033-8419 
Issue Date
2016
MeSH
Brain Neoplasms/diagnostic imaging* ; Brain Neoplasms/genetics* ; Brain Neoplasms/therapy ; DNA Methylation* ; DNA Modification Methylases/genetics* ; DNA Repair Enzymes/genetics* ; Diffusion Magnetic Resonance Imaging/methods* ; Female ; Glioblastoma/diagnostic imaging* ; Glioblastoma/genetics* ; Glioblastoma/therapy ; Humans ; Image Interpretation, Computer-Assisted ; Male ; Middle Aged ; Promoter Regions, Genetic ; Retrospective Studies ; Survival Rate ; Tumor Suppressor Proteins/genetics*
Abstract
Purpose To investigate the incremental prognostic value of apparent diffusion coefficient (ADC) histogram analysis over oxygen 6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status in patients with glioblastoma and the correlation between ADC parameters and MGMT status. Materials and Methods This retrospective study was approved by institutional review board, and informed consent was waived. A total of 112 patients with glioblastoma were divided into training (74 patients) and test (38 patients) sets. Overall survival (OS) and progression-free survival (PFS) was analyzed with ADC parameters, MGMT status, and other clinical factors. Multivariate Cox regression models with and without ADC parameters were constructed. Model performance was assessed with c index and receiver operating characteristic curve analyses for 12- and 16-month OS and 12-month PFS in the training set and validated in the test set. ADC parameters were compared according to MGMT status for the entire cohort. Results By using ADC parameters, the c indices and diagnostic accuracies for 12- and 16-month OS and 12-month PFS in the models showed significant improvement, with the exception of c indices in the models for PFS (P < .05 for all) in the training set. In the test set, the diagnostic accuracy was improved by using ADC parameters and was significant, with the 25th and 50th percentiles of ADC for 16-month OS (P = .040 and P = .047) and the 25th percentile of ADC for 12-month PFS (P = .026). No significant correlation was found between ADC parameters and MGMT status. Conclusion ADC histogram analysis had incremental prognostic value over MGMT promoter methylation status in patients with glioblastoma. (?) RSNA, 2016 Online supplemental material is available for this article.
Full Text
http://pubs.rsna.org/doi/10.1148/radiol.2016151913
DOI
10.1148/radiol.2016151913
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurosurgery (신경외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Ophthalmology (안과학교실) > 1. Journal Papers
Yonsei Authors
강석구(Kang, Seok Gu) ORCID logo https://orcid.org/0000-0001-5676-2037
김세훈(Kim, Se Hoon) ORCID logo https://orcid.org/0000-0001-7516-7372
김의현(Kim, Eui Hyun) ORCID logo https://orcid.org/0000-0002-2523-7122
안성수(Ahn, Sung Soo) ORCID logo https://orcid.org/0000-0002-0503-5558
이승구(Lee, Seung Koo) ORCID logo https://orcid.org/0000-0001-5646-4072
임형택(Rim, Tyler Hyungtaek)
장종희(Chang, Jong Hee)
최윤성(Choi, Yoon Seong)
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URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/152139
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