Binary Logistic Regression Modeling of Voice Impairment and Voice Assessment in Iranian Patients With Nonlaryngeal Head-And-Neck Cancers After Chemoradiation Therapy: Objective and Subjective Voice Evaluation

Binary Logistic Regression Modeling of Voice Impairment and Voice Assessment in Iranian Patients With Nonlaryngeal Head-And-Neck Cancers After Chemoradiation Therapy: Objective and Subjective Voice Evaluation Publisher

Bagherzadeh S¹ ; Shahbazigahrouei D¹ ; Torabinezhad F² ; Mahdavi SRM³ ; Fadavi P⁴ ; Salmanian S⁴

Show Affiliations

1. Department of Medical Physics, School of Medicine, Isfahan University of Medical Science, Isfahan, Iran
2. Department of Speech and Language Pathology, School of Rehabilitation Sciences, Iran University of Medical Sciences, Iran
3. Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
4. Departments of Radiotherapy, School of Medicine, Iran University of Medical Sciences, Tehran, Iran

Source: Journal of Medical Signals and Sensors Published:2023

Abstract

Background: Laryngeal damages after chemoradiation therapy (RT) in nonlaryngeal head‑and‑neck cancers (HNCs) can cause voice disorders and finally reduce the patient’s quality of life (QOL). The aim of this study was to evaluate voice and predict laryngeal damages using statistical binary logistic regression (BLR) models in patients with nonlaryngeal HNCs. Methods: This cross‑section experimental study was performed on seventy patients (46 males, 24 females) with an average age of 50.43 ± 16.54 years, with nonlaryngeal HNCs and eighty individuals with assumed normal voices. Subjective and objective voice assessment was carried out in three stages including before, at the end, and 6 months after treatment. Eventually, the Enter method of the BLR was used to measure the odds ratio of independent variables. Results: In objective evaluation, the acoustic parameters except for F0 increased significantly (P < 0.001) at the end treatment stage and decreased 6 months after treatment. The same trend can be seen in the subjective evaluations, whereas none of the values returned to pretreatment levels. Statistical models of BLR showed that chemotherapy (P < 0.05), mean laryngeal dose (P < 0.05), V50 Gy (P = 0.002), and gender (P = 0.008) had the greatest effect on incidence laryngeal damages. The model based on acoustic analysis had the highest percentage accuracy of 84.3%, sensitivity of 87.2%, and the area under the curve of 0.927. Conclusions: Voice evaluation and the use of BLR models to determine important factors were the optimum methods to reduce laryngeal damages and maintain the patient’s QOL. © 2023 Journal of Medical Signals & Sensors.

2. The Effects of (Chemo) Radiation Therapy on the Voice and Quality of Life in Patients With Non-Laryngeal Head and Neck Cancers: A Subjective and Objective Assessment, International Journal of Radiation Research (2022)

3. Assessing the Impact of Radiation Therapy-Induced Voice Problems on Quality of Life in Non-Laryngeal Head and Neck Cancer Patients; [ارزیابی کيفيت زندگ ی مرتبط با مشکلات صوت ی ناشی از پرتودرمانی در بيمارا ن با سرطانهای سروگردن غي ر حنجرها ی], Journal of Isfahan Medical School (2025)

4. Assessment of the Quality of Life of the Patients With Treated Oral Cancer in Iran, Oral and Maxillofacial Surgery (2017)

5. A Comparison of the Ratio of Patient's Height to Thyromental Distance With the Modified Mallampati and the Upper Lip Bite Test in Predicting Difficult Laryngoscopy, Saudi Journal of Anaesthesia (2011)

6. Prediction of Prolonged Laryngoscopy, Anaesthesia (2001)

7. Computerized Analysis of Acoustic Characteristics of Patients With Internal Nasal Valve Collapse Before and After Functional Rhinoplasty, Journal of Medical Signals and Sensors (2015)

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Style	Citing Format
MLA	Bagherzadeh S, et al.. "Binary Logistic Regression Modeling of Voice Impairment and Voice Assessment in Iranian Patients With Nonlaryngeal Head-And-Neck Cancers After Chemoradiation Therapy: Objective and Subjective Voice Evaluation." Journal of Medical Signals and Sensors, vol. 13, no. 1, 2023, pp. 40-48.
APA	Bagherzadeh S, Shahbazigahrouei D, Torabinezhad F, Mahdavi SRM, Fadavi P, Salmanian S (2023). Binary Logistic Regression Modeling of Voice Impairment and Voice Assessment in Iranian Patients With Nonlaryngeal Head-And-Neck Cancers After Chemoradiation Therapy: Objective and Subjective Voice Evaluation. Journal of Medical Signals and Sensors, 13(1), 40-48.
Chicago	Bagherzadeh S, Shahbazigahrouei D, Torabinezhad F, Mahdavi SRM, Fadavi P, Salmanian S. "Binary Logistic Regression Modeling of Voice Impairment and Voice Assessment in Iranian Patients With Nonlaryngeal Head-And-Neck Cancers After Chemoradiation Therapy: Objective and Subjective Voice Evaluation." Journal of Medical Signals and Sensors 13, no. 1 (2023): 40-48.
Harvard	Bagherzadeh S et al. (2023) 'Binary Logistic Regression Modeling of Voice Impairment and Voice Assessment in Iranian Patients With Nonlaryngeal Head-And-Neck Cancers After Chemoradiation Therapy: Objective and Subjective Voice Evaluation', Journal of Medical Signals and Sensors, 13(1), pp. 40-48.
Vancouver	Bagherzadeh S, Shahbazigahrouei D, Torabinezhad F, Mahdavi SRM, Fadavi P, Salmanian S. Binary Logistic Regression Modeling of Voice Impairment and Voice Assessment in Iranian Patients With Nonlaryngeal Head-And-Neck Cancers After Chemoradiation Therapy: Objective and Subjective Voice Evaluation. Journal of Medical Signals and Sensors. 2023;13(1):40-48.
BibTex	@article{ author = {Bagherzadeh S and Shahbazigahrouei D and Torabinezhad F and Mahdavi SRM and Fadavi P and Salmanian S}, title = {Binary Logistic Regression Modeling of Voice Impairment and Voice Assessment in Iranian Patients With Nonlaryngeal Head-And-Neck Cancers After Chemoradiation Therapy: Objective and Subjective Voice Evaluation}, journal = {Journal of Medical Signals and Sensors}, volume = {13}, number = {1}, pages = {40-48}, year = {2023} }
RIS	TY - JOUR AU - Bagherzadeh S AU - Shahbazigahrouei D AU - Torabinezhad F AU - Mahdavi SRM AU - Fadavi P AU - Salmanian S TI - Binary Logistic Regression Modeling of Voice Impairment and Voice Assessment in Iranian Patients With Nonlaryngeal Head-And-Neck Cancers After Chemoradiation Therapy: Objective and Subjective Voice Evaluation JO - Journal of Medical Signals and Sensors VL - 13 IS - 1 SP - 40 EP - 48 PY - 2023 ER -

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