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European Radiology
Published in: European Radiology 11/2022

24-05-2022 | Hypopharyngeal Cancer | Head and Neck

CT-based radiomics signature analysis for evaluation of response to induction chemotherapy and progression-free survival in locally advanced hypopharyngeal carcinoma

Authors: Xiaobin Liu, Miaomiao Long, Chuanqi Sun, Yining Yang, Peng Lin, Zhiwei Shen, Shuang Xia, Wen Shen

Published in: European Radiology | Issue 11/2022

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Abstract

Objectives

To establish and validate a CT radiomics model for prediction of induction chemotherapy (IC) response and progression-free survival (PFS) among patients with locally advanced hypopharyngeal carcinoma (LAHC).

Methods

One hundred twelve patients with LAHC (78 in training cohort and 34 in validation cohort) who underwent contrast-enhanced CT (CECT) scans prior to IC were enrolled. Least absolute shrinkage and selection operator (LASSO) was used to select the crucial radiomic features in the training cohort. Radiomics signature and clinical data were used to build a radiomics nomogram to predict individual response to IC. Kaplan–Meier analysis and log-rank test were used to evaluate ability of radiomics signature in progression-free survival risk stratification.

Results

The radiomics signature consisted of 6 selected features from the arterial and venous phases of CECT images and demonstrated good performance in predicting the IC response in both two cohorts. The radiomics nomogram showed good discriminative performance, and the C-index of nomogram was 0.899 (95% confidence interval (CI), 0.831–0.967) and 0.775 (95% CI, 0.591–0.959) in the training and validation cohorts, respectively. Survival analysis indicated that low-risk and high-risk groups defined by the value of radiomics signature had significant difference in PFS (3-year PFS 66.4% vs 29.7%, p < 0.001).

Conclusions

Multiparametric CT-based radiomics model could be useful for predicting treatment response and PFS in patients with LAHC who underwent IC.

Key Points

• CT radiomics can predict IC response and progression-free survival in hypopharyngeal carcinoma.
• We combined significant radiomics signature with clinical predictors to establish a nomogram to predict individual response to IC.
• Radiomics signature could divide patients into the high-risk and low-risk groups based on the PFS.
Appendix
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Metadata
Title
CT-based radiomics signature analysis for evaluation of response to induction chemotherapy and progression-free survival in locally advanced hypopharyngeal carcinoma
Authors
Xiaobin Liu
Miaomiao Long
Chuanqi Sun
Yining Yang
Peng Lin
Zhiwei Shen
Shuang Xia
Wen Shen
Publication date
24-05-2022
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 11/2022
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-022-08859-4

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