Abstract
Purpose
To explore if texture analysis of Muscle Invasive Bladder Cancer (MIBC) can aid in
better patient selection for bladder preservation.
Methods
Pretreatment noncontrast CT images of 41 patients of MIBC treated with bladder preservation
were included. The visible tumor was contoured on all slices by a single observer.
The primary endpoint was to identify texture parameters associated with disease recurrence
posttreatment. The secondary endpoints included intra and interobserver variability,
single and multislice analysis, and differentiating the texture features of normal
bladder and tumor. For interobserver variability of bladder tumor texture features,
3 observers contoured the visible tumor on all slices independently. Observer 1 contoured
again at an interval of 1 month for intraobserver variability.
Results
The median follow-up was 30 months with 12 patients having a recurrence. In the primary
endpoint analysis, the mean of the pixels at Spatial Scaling Filter (SSF) 2 for the
no recurrence group and recurrence group was 6.44 v 13.73 respectively (P = .031) and the same at SSF-3 was 11.95 and 22.32 respectively (P = .034). The texture features that could significantly differentiate tumor and normal
bladder were mean, standard deviation and kurtosis of the pixels at SSF-2 and entropy
and kurtosis of the pixels at SSF-3. Overall, there was an excellent intra and interobserver
concordance in texture features. Only multislice analysis and not single-slice could
differentiate recurrence and no recurrence posttreatment.
Conclusions
Texture analysis can be explored as a modality for patient selection for bladder preservation
along with the established clinical parameters to improve outcomes.
Keywords
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Article info
Publication history
Published online: November 17, 2022
Accepted:
November 14,
2022
Received in revised form:
November 8,
2022
Received:
December 26,
2021
Publication stage
In Press Journal Pre-ProofIdentification
Copyright
© 2022 Published by Elsevier Inc.
