Abstract:
PURPOSE:Previously, some reports mentioned that magnetic resonance imaging (MRI) can predict histopathological features in primary CNS lymphoma (PCNSL). The reported data analyzed diffusion-weighted imaging findings. The aim of this study was to investigate possible associations between histopathological findings, such as tumor cellularity, nucleic areas and proliferation index Ki-67, and signal intensity on T1-weighted and T2-weighted images in PCNSL. PROCEDURES:For this study, 18 patients with PCNSL were retrospectively investigated by histogram analysis on precontrast and postcontrast T1-weighted and fluid-attenuated inversion recovery (FLAIR) images. For every patient, histopathology parameters, nucleic count, total nucleic area, and average nucleic area, as well as Ki-67 index, were estimated. RESULTS:Correlation analysis identified several statistically significant associations. Skewness derived from precontrast T1-weighted images correlated with Ki-67 index (p = - 0.55, P = 0.028). Furthermore, entropy derived from precontrast T1-weighted images correlated with average nucleic area (p = 0.53, P = 0.04). Several parameters from postcontrast T1-weighted images correlated with nucleic count: maximum signal intensity (p = 0.59, P = 0.017), P75 (p = 0.56, P = 0.02), and P90 (p = 0.52, P = 0.04) as well as SD (p = 0.58, P = 0.02). Maximum signal intensity derived from FLAIR sequence correlated with nucleic count (p = 0.50, P = 0.03). CONCLUSION:Histogram-derived parameters of conventional MRI sequences can reflect different histopathological features in PSNCL.
journal_name
Mol Imaging Bioljournal_title
Molecular imaging and biologyauthors
Meyer HJ,Schob S,Münch B,Frydrychowicz C,Garnov N,Quäschling U,Hoffmann KT,Surov Adoi
10.1007/s11307-017-1115-5subject
Has Abstractpub_date
2018-04-01 00:00:00pages
318-323issue
2eissn
1536-1632issn
1860-2002pii
10.1007/s11307-017-1115-5journal_volume
20pub_type
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