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RESEARCH PAPER
Algorithm to predict reduction in hypernasality of speech after prosthetic rehabilitation of maxillectomy patients
 
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1
Prosthodontics, Saraswati Dental College, Lucknow, India
 
2
Prosthodontics, Saraswati Dental College
 
 
Submission date: 2021-11-26
 
 
Final revision date: 2022-02-09
 
 
Acceptance date: 2022-03-19
 
 
Publication date: 2022-03-19
 
 
Corresponding author
Ashutosh Gupta   

Prosthodontics, Saraswati Dental College, Lucknow, 5/62, vikas khand, gomti nagar, 226010, Lucknow, India
 
 
Prosthodontics 2022;72(1):5-13
 
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ABSTRACT
Introduction:
Rehabilitation after resection of hard or soft palate is best accomplished prosthodontically through obturator. However, restoring normal phonation, particularly a reduction in nasalence of speech is indeed, a daunting task, since the defect configuration may render complete obturation impossible.

Aim of the study:
To create an algorithm to predetermine the effectiveness of obturator prosthesis in reducing hypernasality in maxillectomy patients.

Material and methods:
57 patients (39 male, 18 female) with healed maxillary defects were included in the study. All the patients were wearing definitive obturator for at least 3 months. The volume of the maxillary defect was obtained using CBCT. The percentage nasality and resonating frequency were calculated with the help of PRAAT software. Both the parameters were assessed with and without obturator.

Results:
There was a decrease in resonating frequency with obturator use (r= -0.443). On evaluating the correlation between percentage resonance with obturator and diameter of defect opening and internal diameter of the defect using regression analysis, following equation was generated: % resonance with obturator = 15.635 -0.667 X Diameter of defect opening +0.499 X maximum internal diameter of the defect.

Conclusions:
With the present algorithm, one can predetermine the value of hypernasality depending upon the defect size prior to obturator fabrication enabling surgeons and prosthodontics better diagnosis and treatment planning.

eISSN:2391-601X
ISSN:0033-1783
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