RSNA 2009 

Abstract Archives of the RSNA, 2009


SSA15-05

Differentiating among Glioblastoma Multiforme, Solitary Metastatic Tumor, and Lymphoma Using Whole-Tumor Histogram Analysis of the Normalized Cerebral Blood Volume in Enhancing and Peri-enhancing Lesions

Scientific Papers

Presented on November 29, 2009
Presented as part of SSA15: ISP: Neuroradiology (Brain Tumors: Secondary)

Participants

Jee Hyun Ma MD, Abstract Co-Author: Nothing to Disclose
Ho Sung Kim, Abstract Co-Author: Nothing to Disclose
Nae-Jung Rim, Presenter: Nothing to Disclose
Sun Yong Kim MD, Abstract Co-Author: Nothing to Disclose

PURPOSE

To determine whether whole-tumor histogram analysis of the normalized relative cerebral blood volume (nCBV) in enhancing and peri-enhancing lesions can differentiate among glioblastoma multiforme (GBM), solitary metastatic tumor (SMT), and lymphoma.

METHOD AND MATERIALS

The institutional review board approved this study. Sixty-two patients with histopathologically confirmed GBMs (n=28), SMTs (n=22), or lymphomas (n=12) underwent conventional MR imaging and dynamic susceptibility contrast perfusion MR imaging preoperatively. The histogram distribution of the nCBV was obtained from the whole-tumor voxels in contrast-enhancing lesions (CELs) and peri-enhancing T2 lesions (PELs). Histogram width (HW), peak height position (PHP), and maximum value (MV) were determined from the histograms in CELs and PELs. Initially, one-way analysis of variance (ANOVA) was used to test for the overall equality of mean values in each data group. Posttest multiple comparisons were performed.

RESULTS

The interobserver agreement was excellent for the histogram method (intraclass correlation coefficient = 0.89–0.94). In the whole-tumor histogram analyses for CELs, only PHP could differentiate among GBMs (4.79±1.31), SMTs (3.32±1.10), and lymphomas (2.08±0.54). For CEL, HW and MV were not significantly different between GBMs and SMTs, whereas these two histogram parameters were significantly higher in GBMs and SMTs than in lymphomas. In the PEL analyses, only MV could differentiate among GBMs (1.90±0.26), SMTs (0.80±0.21), and lymphomas (1.01±0.14). For the PEL, HW and PHP were not significantly different between SMTs and lymphomas.

CONCLUSION

Our whole-tumor histogram analysis of nCBV suggests that PHP in CEL and MV in PEL can differentiate among GBMs, SMTs, and lymphomas.

CLINICAL RELEVANCE/APPLICATION

Whole-tumor histogram analysis of normalized cerebral blood volume has the potential value for noninvasively differentiating solitary enhancing brain masses.

Cite This Abstract

Ma, J, Kim, H, Rim, N, Kim, S, Differentiating among Glioblastoma Multiforme, Solitary Metastatic Tumor, and Lymphoma Using Whole-Tumor Histogram Analysis of the Normalized Cerebral Blood Volume in Enhancing and Peri-enhancing Lesions.  Radiological Society of North America 2009 Scientific Assembly and Annual Meeting, November 29 - December 4, 2009 ,Chicago IL. http://archive.rsna.org/2009/8008730.html