Diffusion-tensor MR imaging of intracranial neoplasia and associated peritumoral edema: Introduction of the tumor infiltration index

Stanley Lu, Daniel Ahn, Glyn Johnson, Meng Law, David Zagzag, Robert I. Grossman

Research output: Contribution to journalArticle

243 Citations (Scopus)

Abstract

PURPOSE: To determine whether diffusion-tensor magnetic resonance (MR) imaging metrics of peritumoral edema can be used to differentiate intra- from extraaxial lesions, metastatic lesions from gliomas, and high- from low-grade gliomas. MATERIALS AND METHODS: In this study, diffusion-tensor MR imaging was performed preoperatively in 40 patients with intracranial neoplasms, including meningiomas, metastatic lesions, glioblastomas multiforme, and low-grade gliomas. Histograms of mean diffusivity (MD) and fractional anisotropy (FA) were used to analyze both the tumor and the associated T2 signal intensity abnormality. An additional metric, the tumor infiltration index (TII), was evaluated. The TII is a measure of the change in FA presumably caused by tumor cells infiltrating the peritumoral edema. Student t test and least-squares linear regression analyses were performed. RESULTS: Peritumoral MD and FA values indicated no statistically significant difference between intra- and extraaxial lesions or between high- and low-grade gliomas. Regarding intraaxial tumors, the measured mean peritumoral MD of metastatic lesions, 0.733 × 10 -3 mm2/sec ± 0.061 (SD), was significantly higher than that of gliomas, 0.587 ± 0.093 × 10-3 mm 2/sec (P < .05). There was also a statistically significant difference between the TIIs of the edema surrounding meningiomas and metastases (mean, 0 ± 35) and the TIIs of the edema surrounding gliomas (mean, 64 ± 59) (P < .05). CONCLUSION: Peritumoral diffusion-tensor MR imaging metrics enable the differentiation of solitary intraaxial metastatic brain tumors from gliomas. In addition, the TII enables one to distinguish presumed tumor-infiltrated edema from purely vasogenic edema.

Original languageEnglish (US)
Pages (from-to)221-228
Number of pages8
JournalRadiology
Volume232
Issue number1
DOIs
StatePublished - Jul 1 2004

Fingerprint

Diffusion Magnetic Resonance Imaging
Glioma
Edema
Anisotropy
Neoplasms
Meningioma
Brain Neoplasms
Glioblastoma
Least-Squares Analysis
Linear Models
Regression Analysis
Students
Neoplasm Metastasis

Keywords

  • Brain neoplasms, diagnosis
  • Brain neoplasms, MR
  • Brain, diffusion
  • Magnetic resonance (MR), diffusion tensor

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Diffusion-tensor MR imaging of intracranial neoplasia and associated peritumoral edema : Introduction of the tumor infiltration index. / Lu, Stanley; Ahn, Daniel; Johnson, Glyn; Law, Meng; Zagzag, David; Grossman, Robert I.

In: Radiology, Vol. 232, No. 1, 01.07.2004, p. 221-228.

Research output: Contribution to journalArticle

Lu, Stanley ; Ahn, Daniel ; Johnson, Glyn ; Law, Meng ; Zagzag, David ; Grossman, Robert I. / Diffusion-tensor MR imaging of intracranial neoplasia and associated peritumoral edema : Introduction of the tumor infiltration index. In: Radiology. 2004 ; Vol. 232, No. 1. pp. 221-228.
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AU - Grossman, Robert I.

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N2 - PURPOSE: To determine whether diffusion-tensor magnetic resonance (MR) imaging metrics of peritumoral edema can be used to differentiate intra- from extraaxial lesions, metastatic lesions from gliomas, and high- from low-grade gliomas. MATERIALS AND METHODS: In this study, diffusion-tensor MR imaging was performed preoperatively in 40 patients with intracranial neoplasms, including meningiomas, metastatic lesions, glioblastomas multiforme, and low-grade gliomas. Histograms of mean diffusivity (MD) and fractional anisotropy (FA) were used to analyze both the tumor and the associated T2 signal intensity abnormality. An additional metric, the tumor infiltration index (TII), was evaluated. The TII is a measure of the change in FA presumably caused by tumor cells infiltrating the peritumoral edema. Student t test and least-squares linear regression analyses were performed. RESULTS: Peritumoral MD and FA values indicated no statistically significant difference between intra- and extraaxial lesions or between high- and low-grade gliomas. Regarding intraaxial tumors, the measured mean peritumoral MD of metastatic lesions, 0.733 × 10 -3 mm2/sec ± 0.061 (SD), was significantly higher than that of gliomas, 0.587 ± 0.093 × 10-3 mm 2/sec (P < .05). There was also a statistically significant difference between the TIIs of the edema surrounding meningiomas and metastases (mean, 0 ± 35) and the TIIs of the edema surrounding gliomas (mean, 64 ± 59) (P < .05). CONCLUSION: Peritumoral diffusion-tensor MR imaging metrics enable the differentiation of solitary intraaxial metastatic brain tumors from gliomas. In addition, the TII enables one to distinguish presumed tumor-infiltrated edema from purely vasogenic edema.

AB - PURPOSE: To determine whether diffusion-tensor magnetic resonance (MR) imaging metrics of peritumoral edema can be used to differentiate intra- from extraaxial lesions, metastatic lesions from gliomas, and high- from low-grade gliomas. MATERIALS AND METHODS: In this study, diffusion-tensor MR imaging was performed preoperatively in 40 patients with intracranial neoplasms, including meningiomas, metastatic lesions, glioblastomas multiforme, and low-grade gliomas. Histograms of mean diffusivity (MD) and fractional anisotropy (FA) were used to analyze both the tumor and the associated T2 signal intensity abnormality. An additional metric, the tumor infiltration index (TII), was evaluated. The TII is a measure of the change in FA presumably caused by tumor cells infiltrating the peritumoral edema. Student t test and least-squares linear regression analyses were performed. RESULTS: Peritumoral MD and FA values indicated no statistically significant difference between intra- and extraaxial lesions or between high- and low-grade gliomas. Regarding intraaxial tumors, the measured mean peritumoral MD of metastatic lesions, 0.733 × 10 -3 mm2/sec ± 0.061 (SD), was significantly higher than that of gliomas, 0.587 ± 0.093 × 10-3 mm 2/sec (P < .05). There was also a statistically significant difference between the TIIs of the edema surrounding meningiomas and metastases (mean, 0 ± 35) and the TIIs of the edema surrounding gliomas (mean, 64 ± 59) (P < .05). CONCLUSION: Peritumoral diffusion-tensor MR imaging metrics enable the differentiation of solitary intraaxial metastatic brain tumors from gliomas. In addition, the TII enables one to distinguish presumed tumor-infiltrated edema from purely vasogenic edema.

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