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Dynamic contrast-enhanced MRI perfusion for differentiating between melanoma and lung cancer brain metastases.
- Source :
-
Cancer medicine [Cancer Med] 2017 Apr; Vol. 6 (4), pp. 761-767. Date of Electronic Publication: 2017 Mar 17. - Publication Year :
- 2017
-
Abstract
- Brain metastases originating from different primary sites overlap in appearance and are difficult to differentiate with conventional MRI. Dynamic contrast-enhanced (DCE)-MRI can assess tumor microvasculature and has demonstrated utility in characterizing primary brain tumors. Our aim was to evaluate the performance of plasma volume (Vp) and volume transfer coefficient (K <superscript>trans</superscript> ) derived from DCE-MRI in distinguishing between melanoma and nonsmall cell lung cancer (NSCLC) brain metastases. Forty-seven NSCLC and 23 melanoma brain metastases were retrospectively assessed with DCE-MRI. Regions of interest were manually drawn around the metastases to calculate Vp <subscript>mean</subscript> and Kmeantrans. The Mann-Whitney U test and receiver operating characteristic analysis (ROC) were performed to compare perfusion parameters between the two groups. The Vp <subscript>mean</subscript> of melanoma brain metastases (4.35, standard deviation [SD] = 1.31) was significantly higher (P = 0.03) than Vp <subscript>mean</subscript> of NSCLC brain metastases (2.27, SD = 0.96). The Kmeantrans values were higher in melanoma brain metastases, but the difference between the two groups was not significant (P = 0.12). Based on ROC analysis, a cut-off value of 3.02 for Vp <subscript>mean</subscript> (area under curve = 0.659 with SD = 0.074) distinguished between melanoma brain metastases and NSCLC brain metastases (P < 0.01) with 72% specificity. Our data show the DCE-MRI parameter Vp <subscript>mean</subscript> can differentiate between melanoma and NSCLC brain metastases. The ability to noninvasively predict tumor histology of brain metastases in patients with multiple malignancies can have important clinical implications.<br /> (© 2017 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)
- Subjects :
- Adult
Aged
Aged, 80 and over
Area Under Curve
Brain Neoplasms metabolism
Brain Neoplasms secondary
Carcinoma, Non-Small-Cell Lung metabolism
Diagnosis, Differential
Female
Humans
Lung Neoplasms metabolism
Magnetic Resonance Imaging
Male
Melanoma metabolism
Middle Aged
ROC Curve
Brain Neoplasms diagnostic imaging
Carcinoma, Non-Small-Cell Lung diagnostic imaging
Contrast Media pharmacokinetics
Lung Neoplasms diagnostic imaging
Melanoma diagnostic imaging
Subjects
Details
- Language :
- English
- ISSN :
- 2045-7634
- Volume :
- 6
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Cancer medicine
- Publication Type :
- Academic Journal
- Accession number :
- 28303695
- Full Text :
- https://doi.org/10.1002/cam4.1046