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Radiomics analysis for the prediction of locoregional recurrence of locally advanced oropharyngeal cancer and hypopharyngeal cancer

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Abstract

Purpose

By radiomic analysis of the postcontrast CT images, this study aimed to predict locoregional recurrence (LR) of locally advanced oropharyngeal cancer (OPC) and hypopharyngeal cancer (HPC).

Methods

A total of 192 patients with stage III–IV OPC or HPC from two independent cohort were randomly split into a training cohort with 153 cases and a testing cohort with 39 cases. Only primary tumor mass was manually segmented. Radiomic features were extracted using PyRadiomics, and then the support vector machine was used to build the radiomic model with fivefold cross-validation process in the training data set. For each case, a radiomics score was generated to indicate the probability of LR.

Results

There were 94 patients with LR assigned in the progression group and 98 patients without LR assigned in the stable group. There was no significant difference of TNM staging, treatment strategies and common risk factors between these two groups. For the training data set, the radiomics model to predict LR showed 83.7% accuracy and 0.832 (95% CI 0.72, 0.87) area under the ROC curve (AUC). For the test data set, the accuracy and AUC slightly declined to 79.5% and 0.770 (95% CI 0.64, 0.80), respectively. The sensitivity/specificity of training and test data set for LR prediction were 77.6%/89.6%, and 66.7%/90.5%, respectively.

Conclusions

The image-based radiomic approach could provide a reliable LR prediction model in locally advanced OPC and HPC. Early identification of those prone to post-treatment recurrence would be helpful for appropriate adjustments to treatment strategies and post-treatment surveillance.

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Availability of data and materials

The data that support the findings of this study are available upon request from the corresponding author. The data are not publicly available due to privacy and ethical restrictions.

Abbreviations

AJCC:

American Joint Committee on Cancer

AUC:

Areas under curve

CCRT:

Concurrent chemoradiotherapy

CT:

Computed tomography

FN:

False negative

FP:

False positive

HN:

Head and neck

HPC:

Hypopharyngeal cancer

LR:

Locoregional recurrence

MRI:

Magnetic resonance imaging

NPC:

Nasopharyngeal cancer

OPC:

Oropharyngeal cancer

OS:

Overall survival

PET:

Positron emission tomography

ROC:

Receiver operating characteristic

S + Adj:

Surgery with adjuvant therapy after tumor resection

TN:

True negative

TP:

True positive

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Funding

No funding was received.

Author information

Authors and Affiliations

  1. Department of Medical Imaging, Chi-Mei Medical Center, Tainan, Taiwan

    Te-Chang Wu, Tai-Yuan Chen & Ching-Chung Ko

  2. Department of Medical Sciences Industry, Chang Jung Christian University, Tainan, Taiwan

    Te-Chang Wu

  3. Department of Radiological Sciences, University of California, Irvine, Irvine, CA, USA

    Yan-Lin Liu, Jeon-Hor Chen & Min-Ying Su

  4. Department of Medical Imaging, E-DA Hospital, Kaohsiung, Taiwan

    Jeon-Hor Chen, Chiao-Yun Lin & Lee-Ren Yeh

  5. Graduate Institute of Medical Sciences, Chang Jung Christian University, Tainan, Taiwan

    Tai-Yuan Chen

  6. Center of General Education, Chia Nan University of Pharmacy and Science, Tainan, Taiwan

    Ching-Chung Ko

  7. College of Medicine, I-Shou University, Kaohsiung, Taiwan

    Chiao-Yun Lin & Cheng-Yi Kao

  8. Division of Medical Radiology, E-DA Cancer Hospital, Kaohsiung, Taiwan

    Cheng-Yi Kao

  9. Department of Medical Imaging and Radiological Sciences, College of Medicine, I-Shou University, No. 1 Yida Road, Jiaosu Village, Yanchao District, Kaohsiung, 824, Taiwan

    Lee-Ren Yeh

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  1. Te-Chang Wu
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Contributions

T-CW: conceptualization, data curation, methodology and writing—original draft. Y-LL: investigation, software, visualization and writing—original draft. J-HC: conceptualization, methodology and writing—review and editing. T-YC: data curation and formal analysis. C-YL: data curation and formal analysis. C-YK: data curation and formal analysis. C-CK: data curation and formal analysis. L-RY: conceptualization, methodology and writing—review and editing. M-YS: methodology and writing—review and editing.

Corresponding author

Correspondence to Lee-Ren Yeh.

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Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval and consent to participate

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This retrospective study was approved by the Institutional Review Board of our hospital, Chi-Mei Medical Center (Date 2022-08-24/No 11107-016). The requirement to obtain informed consent was waived due to its retrospective nature.

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Wu, TC., Liu, YL., Chen, JH. et al. Radiomics analysis for the prediction of locoregional recurrence of locally advanced oropharyngeal cancer and hypopharyngeal cancer. Eur Arch Otorhinolaryngol 281, 1473–1481 (2024). https://doi.org/10.1007/s00405-023-08380-4

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