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. 2022 Sep;12(9):4474–4487. doi: 10.21037/qims-22-189

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2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

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ROC curves of different parameters. (A) ROC curves of D, f, MTRasym (3.5 ppm), and the combination of independent predictors. (B) ROC curves of SUVmax, MTV, TLG, and the combination of independent predictors. D, diffusion coefficient; f, perfusion fraction; MTRasym (3.5 ppm), magnetization transfer ratio asymmetry at 3.5 ppm; AUC, the area under the ROC curve; ROC, receiver operating characteristic; SUVmax, maximum standardized uptake value; MTV, metabolic tumor volume; TLG, total lesion glycolysis.