Abdollahi, H. and Mostafaei, S. and Cheraghi, S. and Shiri, I. and Rabi Mahdavi, S. and Kazemnejad, A. (2018) Cochlea CT radiomics predicts chemoradiotherapy induced sensorineural hearing loss in head and neck cancer patients: A machine learning and multi-variable modelling study. Physica Medica, 45. pp. 198-204.
Full text not available from this repository.Abstract
Objectives: Immediately or after head-and-neck (H&N) cancer chemoradiotherapy (CRT), patients may undergone significant sensorineural hearing loss (SNHL) which could affect their quality of life. Radiomic feature analysis is proposed to predict SNHL induced by CRT. Material and methods: 490 image features of 94 cochlea from 47 patients treated with three dimensional conformal RT (3DCRT) for different H&N cancers were extracted from CT images. Different machine learning (ML) algorithms and also least absolute shrinkage and selection operator (LASSO) penalized logistic regression were implemented on radiomic features for feature selection, classification and prediction. Also, LASSO penalized logistic model was used for outcome modelling. Results: The predictive power of ten ML methods was more than 70 (in accuracy, precision and area under the curve of receiver operating characteristic curve (AUC)). According to the LASSO penalized logistic modelling, 10 of the 490 radiomic features selected as the associated features with SNHL status. All of the 10 features were statistically associated with SNHL (all of adjusted P-values <.001). Conclusion: CT radiomic analysis proposed in this study, could help in the prediction of hearing loss induced by chemoradiation. Our study also, demonstrates that combination of radiomic features with clinical and dosimetric variables can model radiotherapy outcome such as SNHL. © 2017 Associazione Italiana di Fisica Medica
| Item Type: | Article |
|---|---|
| Additional Information: | cited By 2 |
| Uncontrolled Keywords: | cisplatin; antineoplastic agent; cisplatin, adult; aged; algorithm; Article; cancer patient; chemoradiotherapy; clinical article; cochlea; computer assisted tomography; conformal radiotherapy; female; head and neck cancer; human; imaging; machine learning; male; multiple cycle treatment; perception deafness; prediction; quality of life; radiomics; biological model; cochlea; complication; diagnostic imaging; drug effect; head and neck tumor; injuries; middle aged; multivariate analysis; perception deafness; procedures; prognosis; prospective study; radiation injury; radiation response; statistical model; x-ray computed tomography, Adult; Aged; Antineoplastic Agents; Chemoradiotherapy; Cisplatin; Cochlea; Female; Head and Neck Neoplasms; Hearing Loss, Sensorineural; Humans; Logistic Models; Machine Learning; Male; Middle Aged; Models, Biological; Multivariate Analysis; Prognosis; Prospective Studies; Radiation Injuries; Radiotherapy, Conformal; Tomography, X-Ray Computed |
| Subjects: | WN Radiology. Diagnostic Imaging WE Musculoskeletal System WV Otolaryngology |
| Depositing User: | eprints admin |
| Date Deposited: | 01 Jan 2019 09:35 |
| Last Modified: | 24 Aug 2019 06:46 |
| URI: | http://eprints.iums.ac.ir/id/eprint/5971 |
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