Quantitate evaluation of photogrammetry with CT scanning for orbital defect

Abstract Facial deformities can be caused by cancer, tumours, trauma, infections, congenital or acquired defects and may lead to alteration in basic functions such as communication, breathing, and mastication and aesthetic thereby affecting quality of life. Traditional processes for manufacturing ma...

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Main Authors: Arushi Beri, Sweta Kale Pisulkar, Balaji Paikrao, Ashutosh Bagde, Akansha Bansod, Akshay Shrivastava, Ritul Jain
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-53826-2
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author Arushi Beri
Sweta Kale Pisulkar
Balaji Paikrao
Ashutosh Bagde
Akansha Bansod
Akshay Shrivastava
Ritul Jain
author_facet Arushi Beri
Sweta Kale Pisulkar
Balaji Paikrao
Ashutosh Bagde
Akansha Bansod
Akshay Shrivastava
Ritul Jain
author_sort Arushi Beri
collection DOAJ
description Abstract Facial deformities can be caused by cancer, tumours, trauma, infections, congenital or acquired defects and may lead to alteration in basic functions such as communication, breathing, and mastication and aesthetic thereby affecting quality of life. Traditional processes for manufacturing maxillofacial prostheses involve complicated, time-consuming and tedious processes for the patient and the operator. Impression of the defect area, which is the one of the crucial step in fabrication of prosthesis, is the longest and most difficult process as it requires a long contact with the patient. The digital revolution is now changing the landscape of prosthetic production and making the impression making procedure simpler. Digital technology reduces patient chair side time by providing more accurate display data in less time (3–5 min) than traditional methods. Digital impressions eliminate the need for bulky impression materials and provide a more comfortable patient experience.
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spelling doaj.art-71d05b9c38624ce7b64dfdd497b7108b2024-03-05T18:57:10ZengNature PortfolioScientific Reports2045-23222024-02-011411810.1038/s41598-024-53826-2Quantitate evaluation of photogrammetry with CT scanning for orbital defectArushi Beri0Sweta Kale Pisulkar1Balaji Paikrao2Ashutosh Bagde3Akansha Bansod4Akshay Shrivastava5Ritul Jain6Department of Prosthodontics, Crown and Bridge, Sharad Pawar Dental College and Hospital, Datta Meghe Institute of Higher Education and ResearchDepartment of Prosthodontics, Crown and Bridge, Sharad Pawar Dental College and Hospital, Datta Meghe Institute of Higher Education and ResearchJawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and ResearchJawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and ResearchDepartment of Prosthodontics, Crown and Bridge, Sharad Pawar Dental College and Hospital, Datta Meghe Institute of Higher Education and ResearchDepartment of Orthodontics, Kalinga Institute of Dental Sciences (DU)Department of Prosthodontics, Crown and Bridge, Sharad Pawar Dental College and Hospital, Datta Meghe Institute of Higher Education and ResearchAbstract Facial deformities can be caused by cancer, tumours, trauma, infections, congenital or acquired defects and may lead to alteration in basic functions such as communication, breathing, and mastication and aesthetic thereby affecting quality of life. Traditional processes for manufacturing maxillofacial prostheses involve complicated, time-consuming and tedious processes for the patient and the operator. Impression of the defect area, which is the one of the crucial step in fabrication of prosthesis, is the longest and most difficult process as it requires a long contact with the patient. The digital revolution is now changing the landscape of prosthetic production and making the impression making procedure simpler. Digital technology reduces patient chair side time by providing more accurate display data in less time (3–5 min) than traditional methods. Digital impressions eliminate the need for bulky impression materials and provide a more comfortable patient experience.https://doi.org/10.1038/s41598-024-53826-2PhotogrammetryCT scanningOrbital defectsDigitalization
spellingShingle Arushi Beri
Sweta Kale Pisulkar
Balaji Paikrao
Ashutosh Bagde
Akansha Bansod
Akshay Shrivastava
Ritul Jain
Quantitate evaluation of photogrammetry with CT scanning for orbital defect
Scientific Reports
Photogrammetry
CT scanning
Orbital defects
Digitalization
title Quantitate evaluation of photogrammetry with CT scanning for orbital defect
title_full Quantitate evaluation of photogrammetry with CT scanning for orbital defect
title_fullStr Quantitate evaluation of photogrammetry with CT scanning for orbital defect
title_full_unstemmed Quantitate evaluation of photogrammetry with CT scanning for orbital defect
title_short Quantitate evaluation of photogrammetry with CT scanning for orbital defect
title_sort quantitate evaluation of photogrammetry with ct scanning for orbital defect
topic Photogrammetry
CT scanning
Orbital defects
Digitalization
url https://doi.org/10.1038/s41598-024-53826-2
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