Added Value of Spectroscopy to Perfusion MRI in the Differential Diagnostic Performance of Common Malignant Brain Tumors

Fellows’ Journal Club

From January 2013 to January 2016, fifty-five consecutive patients with histopathologically proved lymphomas, glioblastomas, and metastases were included in this study after undergoing MR imaging. The perfusion parameters (maximum relative CBV, maximum percentage of signal intensity recovery) and spectroscopic concentration ratios (lactate/Cr, Cho/NAA, Cho/Cr, and lipids/Cr) were analyzed individually and in optimal combinations. The highest differential diagnostic performance was obtained with the following combined classifiers: 1) maximum percentage of signal intensity recovery-Cho/NAA to discriminate lymphomas from glioblastomas and metastases; 2) relative CBV-Cho/NAA to discriminate glioblastomas from lymphomas and metastases; and 3) maximum percentage of signal intensity recovery-lactate/Cr and maximum percentage of signal intensity recovery-Cho/Cr to discriminate metastases from lymphomas and glioblastomas. The authors conclude that spectroscopy yielded an added performance value to perfusion using optimal combined classifiers of these modalities.

Abstract

BACKGROUND AND PURPOSE

Differential Diagnostic Performance of Common Malignant Brain Tumors
Cerebral MR imaging with postprocessing using syngo.via software shows the following: A, A 77-year-old man with histologically proved left insula metastasis from lung cancer who has extensive peritumoral edema on the T2-weighted FLAIR image (a), a heterogeneous contrast enhancement with necrosis on the postcontrast T1-weighted image (b), PSRmax at 65% with rCBVmax at 2.5 on PWI γ function (c), and the Cho/Cr ratio at 1.8 with the resonance of free lipids still visible at TE = 135ms on 1H-MR PRESS spectra (d). B, A 56-year-old man with histologically proved PCNSL within the pons who has a homogeneous hyperintense lesion on postcontrast T1-weighted image (a), PSRmax at 125% with no increase in rCBVmax on PWI γ function (b), and a strong resonance of free lipids at a short TE= 35ms, as well as at a long TE = 135 ms on 1H-MR PRESS spectra. Note also a strong increase of Cho/NAA and Cho/Cr at TE = 135 ms (c). C, A 52-year-old woman with histologically proved right occipital glioblastoma who has a heterogeneous necrotic lesion on the postcontrast T1-weighted image (a), with a ring of hyperperfusion (b), PSRmax at 80% with rCBVmax at 4.1 on the PWI γ function (c), and a strong resonance of free lipids at TE = 35 ms and lactate with ratios of Cho/Cr at 3.1 and Cho/NAA at 3.5 on 1H-MR PRESS spectra (d).

Perfusion and spectroscopic MR imaging provide noninvasive physiologic and metabolic characterization of tissues, which can help in differentiating brain tumors. We investigated the diagnostic role of perfusion and spectroscopic MR imaging using individual and combined classifiers of these modalities and assessed the added performance value that spectroscopy can provide to perfusion using optimal combined classifiers that have the highest differential diagnostic performance to discriminate lymphomas, glioblastomas, and metastases.

MATERIALS AND METHODS

From January 2013 to January 2016, fifty-five consecutive patients with histopathologically proved lymphomas, glioblastomas, and metastases were included after undergoing MR imaging. The perfusion parameters (maximum relative CBV, maximum percentage of signal intensity recovery) and spectroscopic concentration ratios (lactate/Cr, Cho/NAA, Cho/Cr, and lipids/Cr) were analyzed individually and in optimal combinations. Differences among tumor groups, differential diagnostic performance, and differences in discriminatory performance of models with quantification of the added performance value of spectroscopy to perfusion were tested using 1-way ANOVA models, receiver operating characteristic analysis, and comparisons between receiver operating characteristic analysis curves using a bivariate χ2, respectively.

RESULTS

The highest differential diagnostic performance was obtained with the following combined classifiers: maximum percentage of signal intensity recovery–Cho/NAA to discriminate lymphomas from glioblastomas and metastases, significantly increasing the sensitivity from 82.1% to 95.7%; relative CBV–Cho/NAA to discriminate glioblastomas from lymphomas and metastases, significantly increasing the specificity from 92.7% to 100%; and maximum percentage of signal intensity recovery–lactate/Cr and maximum percentage of signal intensity recovery–Cho/Cr to discriminate metastases from lymphomas and glioblastomas, significantly increasing the specificity from 83.3% to 97.0% and 100%, respectively.

CONCLUSIONS

Spectroscopy yielded an added performance value to perfusion using optimal combined classifiers of these modalities, significantly increasing the differential diagnostic performances for these common brain tumors.

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Added Value of Spectroscopy to Perfusion MRI in the Differential Diagnostic Performance of Common Malignant Brain Tumors
Jeffrey Ross
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