Prognostic assessment in high-grade soft-tissue sarcoma patients: A comparison of semantic image analysis and radiomics

Peeken JC, Neumann J, Asadpour R, Leonhardt Y, Moreira JR, Hippe DS, Klymenko O, Foreman SC, Von Schacky CE, Spraker MB, Schaub SK, Dapper H, Knebel C, Mayr NA, Woodruff HC, Lambin P, Nyflot MJ, Gersing AS, Combs SE (2021)


Publication Type: Journal article

Publication year: 2021

Journal

Book Volume: 13

Article Number: 1929

Journal Issue: 8

DOI: 10.3390/cancers13081929

Abstract

Background: In patients with soft-tissue sarcomas of the extremities, the treatment decision is currently regularly based on tumor grading and size. The imaging-based analysis may pose an alternative way to stratify patients’ risk. In this work, we compared the value of MRI-based radiomics with expert-derived semantic imaging features for the prediction of overall survival (OS). Methods: Fat-saturated T2-weighted sequences (T2FS) and contrast-enhanced T1-weighted fatsaturated (T1FSGd) sequences were collected from two independent retrospective cohorts (training: 108 patients; testing: 71 patients). After preprocessing, 105 radiomic features were extracted. Semantic imaging features were determined by three independent radiologists. Three machine learning techniques (elastic net regression (ENR), least absolute shrinkage and selection operator, and random survival forest) were compared to predict OS. Results: ENR models achieved the best predictive performance. Histologies and clinical staging differed significantly between both cohorts. The semantic prognostic model achieved a predictive performance with a C-index of 0.58 within the test set. This was worse compared to a clinical staging system (C-index: 0.61) and the radiomic models (C-indices: T1FSGd: 0.64, T2FS: 0.63). Both radiomic models achieved significant patient stratification. Conclusions: T2FS and T1FSGd-based radiomic models outperformed semantic imaging features for prognostic assessment.

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How to cite

APA:

Peeken, J.C., Neumann, J., Asadpour, R., Leonhardt, Y., Moreira, J.R., Hippe, D.S.,... Combs, S.E. (2021). Prognostic assessment in high-grade soft-tissue sarcoma patients: A comparison of semantic image analysis and radiomics. Cancers, 13(8). https://doi.org/10.3390/cancers13081929

MLA:

Peeken, Jan C., et al. "Prognostic assessment in high-grade soft-tissue sarcoma patients: A comparison of semantic image analysis and radiomics." Cancers 13.8 (2021).

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