PRACA ORYGINALNA
Algorithm to predict reduction in hypernasality of speech
after prosthetic rehabilitation of maxillectomy patients
Więcej
Ukryj
1
Prosthodontics, Saraswati Dental College, Lucknow, India
2
Prosthodontics, Saraswati Dental College
Data nadesłania: 26-11-2021
Data ostatniej rewizji: 09-02-2022
Data akceptacji: 19-03-2022
Data publikacji: 19-03-2022
Autor do korespondencji
Ashutosh Gupta
Prosthodontics, Saraswati Dental College, Lucknow, 5/62, vikas khand, gomti nagar, 226010, Lucknow, India
Prosthodontics 2022;72(1):5-13
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
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.