Shape Features of the Lesion Habitat to Differentiate Brain Tumor Progression from Pseudoprogression on Routine Multiparametric MRI: A Multisite Study

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Fig 1.
Color maps visualizing the significant local features on an enhancing lesion region for a TP case (upper row) and a PsP case (lower row). The K_T measure is shown in A, whereas the S measure is shown in B. C, Surface-rendering for the 2 cases shows the compactness global feature that was discriminative by the classifier. The PsP mass is more elliptic, whereas the tumor appears to be more compact.
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Fig 2.
A, Color maps visualizing a significant local feature (shape index) on a peritumoral region for a tumor progression case (upper row) and a PsP case (lower row). B, Surface-rendering for 2 other cases that visualize the elongation shape factor feature as a discriminative feature between tumor progression and PsP. The higher elongation shown in the lower row for the PsP case is aligned with the previous findings reporting a rather elongated and elliptic shape of benign masses.³¹

Table 3:

Experiments conducted on the training and testing cohorts and the corresponding classifier performance

Compartment	Features	Training	Testing
Enhancing lesion	Mean of K_T, SD of S, roundness, eccentricity, compactness	38 TP, 21 PsP: Accuracy = 84.75%	29 TP, 12 PsP: Accuracy = 83%
T2WI/FLAIR hyperintense perilesion	Median of C, median of S, median of SI, minor axis length, elongation shape factor	38 TP, 21 PsP: Accuracy = 88.14%	33 TP, 13 PsP: Accuracy = 82.6%
Lesion habitat	Lesion: Mean of K_T roundness, eccentricity T2WI/FLAIR hyperintense Perilesion: median of C, elongation shape factor	38 TP, 21 PsP: Accuracy = 91.5%	29 TP, 12 PsP: Accuracy = 90.2%