Accuracy Analysis of the Multiparametric Acoustic Voice Indices, the VWI, AVQI, ABI, and DSI Measures, in Differentiating between Normal and Dysphonic Voices.

Accuracy Analysis of the Multiparametric Acoustic Voice Indices, the VWI, AVQI, ABI, and DSI Measures, in Differentiating between Normal and Dysphonic Voices.
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DOI:
10.3390/jcm13010099
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发表时间:
2023-12-23
影响因子:
3.9
通讯作者:
Maskeliūnas R
Maskeliūnas R
中科院分区:
医学2区
文献类型:
--
作者:
Uloza V;Pribuišis K;Ulozaite-Staniene N;Petrauskas T;Damaševičius R;Maskeliūnas R

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该研究旨在调查和比较多参数声学语音指数(MAVI)的准确性和鲁棒性,即发音困难严重程度指数(DSI),声学语音质量指数(AVQI),声学呼吸指数(ABI)和语音健康指数(VWI)措施区分正常和发音困难的声音。研究组包括129名成年人,其中49名正常嗓音患者和80名病理性嗓音患者。使用受试者工作特征(ROC)评估所研究的MAVI在区分正常和病理声音方面的诊断准确性。在不同MAVI之间观察到中度至强的正线性相关。ROC统计分析显示,所有使用的测量表现出高水平的准确性(曲线下面积(AUC)为0.80或更大)和可接受的灵敏度和特异性水平,在正常和病理声音之间的区分。然而,当AUC 0.99时,VWI表现出最高的诊断准确性。最高Youden指数等于0.93,表明VWI截止值为4.45对应于高度可接受的灵敏度(97.50%)和特异性(95.92%)。总之,发现VWI在描述语音质量状态的差异和基于临床诊断区分正常和发音困难的声音方面是有益的,即,发音困难类型,这意味着VWI的可靠的语音筛选潜力。
The study aimed to investigate and compare the accuracy and robustness of the multiparametric acoustic voice indices (MAVIs), namely the Dysphonia Severity Index (DSI), Acoustic Voice Quality Index (AVQI), Acoustic Breathiness Index (ABI), and Voice Wellness Index (VWI) measures in differentiating normal and dysphonic voices. The study group consisted of 129 adult individuals including 49 with normal voices and 80 patients with pathological voices. The diagnostic accuracy of the investigated MAVI in differentiating between normal and pathological voices was assessed using receiver operating characteristics (ROC). Moderate to strong positive linear correlations were observed between different MAVIs. The ROC statistical analysis revealed that all used measurements manifested in a high level of accuracy (area under the curve (AUC) of 0.80 and greater) and an acceptable level of sensitivity and specificity in discriminating between normal and pathological voices. However, with AUC 0.99, the VWI demonstrated the highest diagnostic accuracy. The highest Youden index equaled 0.93, revealing that a VWI cut-off of 4.45 corresponds with highly acceptable sensitivity (97.50%) and specificity (95.92%). In conclusion, the VWI was found to be beneficial in describing differences in voice quality status and discriminating between normal and dysphonic voices based on clinical diagnosis, i.e., dysphonia type, implying the VWI’s reliable voice screening potential.
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