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

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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.

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Abbreviations

CCRT:

Concurrent chemoradiotherapy

CECT:

Contrast-enhanced computed tomography

IC:

Induction chemotherapy

LAHC:

Locally advanced hypopharyngeal carcinoma

LASSO:

Least absolute shrinkage and selection operator

LR:

Logistic regression

PFS:

Progression-free survival

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Acknowledgments

This work is supported by the National Natural Science Fund of China 81871342 and the National Key Research and Development 2019YFC0120903.

Funding

This study has received funding by the National Natural Science Fund of China 81871342 and the National Key Research and Development 2019YFC0120903. This work is founded by Tianjin Key Medical Discipline (Specialty) Construction Project and Tianjin Institute of imaging medicine. This study is funded by Tianjin Health Commission Science and Technology Talent Cultivation Project (RC20184).

Author information

Author notes

  1. Shuang Xia and Wen Shen contributed equally to this work as co-corresponding authors.

Authors and Affiliations

  1. Department of Radiology, Tianjin Medical Imaging Institute, Tianjin First Central Hospital, School of Medicine, Nankai University, Fukang Road No. 24, Nankai District, 300192, Tianjin, China

    Xiaobin Liu, Miaomiao Long, Shuang Xia & Wen Shen

  2. Department of Biomedical Engineering, Guangzhou Medical University, Xinzao Road No. 1, Panyu District, Guangzhou, 511436, China

    Chuanqi Sun

  3. Department of Radiotherapy, Tianjin First Central Hospital, School of Medicine, Nankai University, Fukang Road No. 24, Nankai District, Tianjin, 300192, China

    Yining Yang

  4. Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, School of Medicine, Nankai University, Fukang Road No. 24, Nankai District, Tianjin, 300192, China

    Peng Lin

  5. Philips Healthcare, World Profit Centre, 100125, Tianze Road No. 16, Chaoyang District, Beijing, China

    Zhiwei Shen

Authors
  1. Xiaobin Liu
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Corresponding authors

Correspondence to Shuang Xia or Wen Shen.

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Guarantor

The scientific guarantor of this publication is Dr. Wen Shen from the Department of Radiology, Tianjin First Central Hospital.

Conflict of interest

One of the authors (Zhiwei Shen) is an employee of Philips Healthcare. The remaining authors declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was not required for this study because of the retrospective nature of the study.

Ethical approval

Institutional Review Board approval was obtained from the ethics committee of the First Central Hospital of Tianjin (2019N186KY).

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• retrospective

• diagnostic or prognostic study

• performed at one institution

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Liu, X., Long, M., Sun, C. et al. CT-based radiomics signature analysis for evaluation of response to induction chemotherapy and progression-free survival in locally advanced hypopharyngeal carcinoma. Eur Radiol 32, 7755–7766 (2022). https://doi.org/10.1007/s00330-022-08859-4

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  • DOI: https://doi.org/10.1007/s00330-022-08859-4

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