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Differentiation between primary cerebral lymphoma and glioblastoma using the apparent diffusion coefficient: comparison of three different ROI methods.

Authors
 Sung Jun Ahn  ;  Hyun Joo Shin  ;  Jong Hee Chang  ;  Seung Koo Lee 
Citation
 PLoS One, Vol.9(11) : e112948, 2014 
Journal Title
 PLoS One 
ISSN
 1932-6203 
Issue Date
2014
Abstract
OBJECTIVE: Apparent diffusion coefficients (ADC) can help differentiate between central nervous system (CNS) lymphoma and Glioblastoma (GBM). However, overlap between ADCs for GBM and lymphoma have been reported because of various region of interest (ROI) methods. Our aim is to explore ROI method to provide the most reproducible results for differentiation. MATERIALS AND METHODS: We studied 25 CNS lymphomas and 62 GBMs with three ROI methods: (1) ROI1, whole tumor volume; (2) ROI2, multiple ROIs; and (3) ROI3, a single ROI. Interobserver variability of two readers for each method was analyzed by intraclass correlation(ICC). ADCs were compared between GBM and lymphoma, using two-sample t-test. The discriminative ability was determined by ROC analysis. RESULTS: ADCs from ROI1 showed most reproducible results (ICC >0.9). For ROI1, ADCmean for lymphoma showed significantly lower values than GBM (p = 0.03). The optimal cut-off value was 0.98×10(-3) mm2/s with 85% sensitivity and 90% specificity. For ROI2, ADCmin for lymphoma was significantly lower than GBM (p = 0.02). The cut-off value was 0.69×10(-3) mm2/s with 87% sensitivity and 88% specificity. CONCLUSION: ADC values were significantly dependent on ROI method. ADCs from the whole tumor volume had the most reproducible results. ADCmean from the whole tumor volume may aid in differentiating between lymphoma and GBM. However, multi-modal imaging approaches are recommended than ADC alone for differentiation.
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DOI
10.1371/journal.pone.0112948
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Neurosurgery (신경외과학교실) > 1. Journal Papers
Yonsei Authors
신현주(Shin, Hyun Joo) ORCID logo https://orcid.org/0000-0002-7462-2609
안성준(Ahn, Sung Jun) ORCID logo https://orcid.org/0000-0003-0075-2432
이승구(Lee, Seung Koo) ORCID logo https://orcid.org/0000-0001-5646-4072
장종희(Chang, Jong Hee)
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URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/138241
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