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Research ArticleBRAIN TUMOR IMAGING

Diagnostic Confidence of Contrast-Enhanced T1-Weighted MRI for the Detection of Brain Metastases: 3D FSE versus 3D GRE–Based Sequences

Maria Gule-Monroe, Nathan Chasen, James P. Long, Vinodh A. Kumar, Komal Shah, Melissa Chen, Jason Stafford, Caroline Chung, Max Wintermark, Ping Hou, Ekta Sura, Chenyang Wang, Jeffrey Weinberg and Ho-Ling Liu
American Journal of Neuroradiology May 2025, DOI: https://doi.org/10.3174/ajnr.A8590
Maria Gule-Monroe
aFrom the Department of Neuroradiology (M.G.-M., N.C., V.A.K., K.S., M.C., M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Nathan Chasen
aFrom the Department of Neuroradiology (M.G.-M., N.C., V.A.K., K.S., M.C., M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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James P. Long
bDepartment of Biostatistics (J.P.L.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Vinodh A. Kumar
aFrom the Department of Neuroradiology (M.G.-M., N.C., V.A.K., K.S., M.C., M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Komal Shah
aFrom the Department of Neuroradiology (M.G.-M., N.C., V.A.K., K.S., M.C., M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Melissa Chen
aFrom the Department of Neuroradiology (M.G.-M., N.C., V.A.K., K.S., M.C., M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Jason Stafford
cDepartment of Imaging Physics (J.S., P.H., H.-L.L.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Caroline Chung
dDepartment of Radiation Oncology (C.C., C.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Max Wintermark
aFrom the Department of Neuroradiology (M.G.-M., N.C., V.A.K., K.S., M.C., M.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Ping Hou
cDepartment of Imaging Physics (J.S., P.H., H.-L.L.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Ekta Sura
eDivision of Diagnostic Imaging (E.S.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Chenyang Wang
dDepartment of Radiation Oncology (C.C., C.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Jeffrey Weinberg
fDepartment of Neurosurgery (J.W.), The University of Texas MD Anderson Cancer Center, Houston, Texas.
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Ho-Ling Liu
cDepartment of Imaging Physics (J.S., P.H., H.-L.L.), The University of Texas MD Anderson Cancer Center, Houston, Texas
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Abstract

BACKGROUND AND PURPOSE: This retrospective study evaluated the utility of contrast-enhanced T1-weighted 3D fast spin-echo–based sampling perfection with application-optimized contrasts by using different flip angle evolutions (SPACE) sequences for brain metastasis detection on 3T MRI compared with a gradient-recalled echo–based 3D FLASH sequence.

MATERIALS AND METHODS: We identified all patients at a single institution who underwent SPACE and 3D FLASH sequences as part of a practice quality-improvement project. Their medical records were retrospectively reviewed. Five certified neuroradiologists reviewed the images, with at least 2 weeks’ separation between scoring sequences for the same patient. We evaluated the following parameters: number of metastatic lesions, number of indeterminate lesions, lesion margin, contrast-to-noise ratio (CNR), extent of image artifacts, and overall image quality. The CNR was also quantified for solidly enhancing lesions of >1 cm.

RESULTS: We identified 220 patients who underwent SPACE and 3D FLASH sequences (the order of the sequences was equally distributed). Of these, 79 had brain metastases on imaging, and 7 were excluded; thus, 72 patients were included in the study. Twenty patients were scored by 2 radiologists. Of the 92 evaluations, SPACE detected more lesions than 3D FLASH in 35, while 3D FLASH detected more lesions in 10. More indeterminate lesions were seen on 3D FLASH (n = 27) than on SPACE (n = 9). For the lesion margin, CNR, and overall image quality on a Likert scale, SPACE performed significantly better than 3D FLASH, with fewer image artifacts (P < .00001). Higher quantitative CNRs were found on SPACE than on 3D FLASH images, though this result was not statistically significant (median = 22.9 versus 15.5, respectively, P = .134). There was a high interreader lesion detection concordance with the Krippendorf α ordinals at 0.962 for SPACE, 0.870 for 3D FLASH, and 0.918 for the 2 sequences combined.

CONCLUSIONS: Compared with 3D FLASH, the SPACE sequence detected more metastatic lesions and was rated higher for image quality, lesion margin, and CNR, with fewer artifacts. Importantly, the SPACE sequence resulted in increased reader confidence, with fewer indeterminate lesions detected.

ABBREVIATIONS:

CE
contrast-enhanced
CNR
contrast-to-noise ratio
GRAPPA
generalized autocalibrating partially parallel acquisition
IR
inversion recovery
SE
spin-echo
SPACE
sampling perfection with application-optimized contrasts by using different flip angle evolution
VIBE
volumetric interpolated breath-hold examination

Footnotes

  • This work was conducted with support from Siemens Medical Solutions. J.P.L. received support from the National Cancer Institute and the National Center for Advancing Translational Sciences of the National Institutes of Health (P30 CA016672 and CCTS UL1TR003167).

  • Disclosure forms provided by the authors are available with the full text and PDF of this article at www.ajnr.org.

  • © 2025 by American Journal of Neuroradiology
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Cite this article
Maria Gule-Monroe, Nathan Chasen, James P. Long, Vinodh A. Kumar, Komal Shah, Melissa Chen, Jason Stafford, Caroline Chung, Max Wintermark, Ping Hou, Ekta Sura, Chenyang Wang, Jeffrey Weinberg, Ho-Ling Liu
Diagnostic Confidence of Contrast-Enhanced T1-Weighted MRI for the Detection of Brain Metastases: 3D FSE versus 3D GRE–Based Sequences
American Journal of Neuroradiology May 2025, DOI: 10.3174/ajnr.A8590

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CE MRI for Brain Metastasis Detection
Maria Gule-Monroe, Nathan Chasen, James P. Long, Vinodh A. Kumar, Komal Shah, Melissa Chen, Jason Stafford, Caroline Chung, Max Wintermark, Ping Hou, Ekta Sura, Chenyang Wang, Jeffrey Weinberg, Ho-Ling Liu
American Journal of Neuroradiology May 2025, DOI: 10.3174/ajnr.A8590
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