Nomogram for prediction of hearing rehabilitation outcome in children with congenital sensorineural hearing loss after cochlear implantation

Xi Deng; Xueqing Yang; Meiru Bu; Anzhou Tang; Huiting Zhang; Liling Long; Zisan Zeng; Yifeng Wang; Ping Chen; Muliang Jiang; Bihong T Chen

doi:10.1016/j.heliyon.2024.e29529

Nomogram for prediction of hearing rehabilitation outcome in children with congenital sensorineural hearing loss after cochlear implantation

Heliyon. 2024 Apr 16;10(8):e29529. doi: 10.1016/j.heliyon.2024.e29529. eCollection 2024 Apr 30.

Authors

Xi Deng¹, Xueqing Yang¹, Meiru Bu¹, Anzhou Tang², Huiting Zhang³, Liling Long¹, Zisan Zeng¹, Yifeng Wang⁴, Ping Chen², Muliang Jiang¹, Bihong T Chen⁵

Affiliations

¹ Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, PR China.
² Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Guangxi Medical University, No.6 Shuangyong Road, Nanning, 530021, Guangxi, PR China.
³ MR Research Collaboration, Siemens Healthineers Ltd., 430000, Wuhan, PR China.
⁴ Institute of Brain and Psychological Sciences, Sichuan Normal University, No. 5, Jing'an Road, Chengdu, 610066, Sichuan, PR China.
⁵ Department of Diagnostic Radiology, City of Hope National Medical Center, 1500 E, Duarte, CA, 91010, USA.

Abstract

Background: Reliable predictors for rehabilitation outcomes in patients with congenital sensorineural hearing loss (CSNHL) after cochlear implantation (CI) are lacking. The purchase of this study was to develop a nomogram based on clinical characteristics and neuroimaging features to predict the outcome in children with CSNHL after CI.

Methods: Children with CSNHL prior to CI surgery and children with normal hearing were enrolled into the study. Clinical data, high resolution computed tomography (HRCT) for ototemporal bone, conventional brain MRI for structural analysis and brain resting-state fMRI (rs-fMRI) for the power spectrum assessment were assessed. A nomogram combining both clinical and imaging data was constructed using multivariate logistic regression analysis. Model performance was evaluated and validated using bootstrap resampling.

Results: The final cohort consisted of 72 children with CSNHL (41 children with poor outcome and 31 children with good outcome) and 32 healthy controls. The white matter lesion from structural assessment and six power spectrum parameters from rs-fMRI, including Power4, Power13, Power14, Power19, Power23 and Power25 were used to build the nomogram. The area under the receiver operating characteristic (ROC) curve of the nomogram obtained using the bootstrapping method was 0.812 (95 % CI = 0.772-0.836). The calibration curve showed no statistical difference between the predicted value and the actual value, indicating a robust performance of the nomogram. The clinical decision analysis curve showed a high clinical value of this model.

Conclusions: The nomogram constructed with clinical data, and neuroimaging features encompassing ototemporal bone measurements, white matter lesion values from structural brain MRI and power spectrum data from rs-fMRI showed a robust performance in predicting outcome of hearing rehabilitation in children with CSNHL after CI.

Keywords: Brain magnetic resonance imaging (MRI); Cochlear implantation; Congenital sensorineural hearing loss; Nomogram; Power spectrum analysis; Rehabilitation outcome; Resting-state functional MRI.