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Cone beam computed tomography – extending its arm to explore new possibilities
PURPOSE: To determine whether the greyscale value depicted in cone beam computed tomography (CBCT) differentiates different benign osseous lesions of jaws and to measure the greyscale value of various osseous lesions of jaws and to find the correlation (if any) of these greyscale values to that of h...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Termedia Publishing House
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425220/ https://www.ncbi.nlm.nih.gov/pubmed/32817767 http://dx.doi.org/10.5114/pjr.2020.97656 |
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author | Chaudhari, Prajakta P. Bhadage, Chetan Bhoosreddy, Ajay Bramhe, Pragati Rathod, Prutha Dange, Shreya |
author_facet | Chaudhari, Prajakta P. Bhadage, Chetan Bhoosreddy, Ajay Bramhe, Pragati Rathod, Prutha Dange, Shreya |
author_sort | Chaudhari, Prajakta P. |
collection | PubMed |
description | PURPOSE: To determine whether the greyscale value depicted in cone beam computed tomography (CBCT) differentiates different benign osseous lesions of jaws and to measure the greyscale value of various osseous lesions of jaws and to find the correlation (if any) of these greyscale values to that of histopathological diagnosis. MATERIAL AND METHODS: This study was conducted in the Department of Oral Medicine and Radiology of the Dental Institute after obtaining approval from the Ethical Committee. CBCT scans of osseous lesions of jaws confirmed with histopathological reports depicting cystic or tumour-like lesions were included in the study. Greyscale values depicted in CBCT scans of osseous lesions were measured. The greyscale values were grouped as per the histopathological diagnosis, and these ranges were then tabulated and statistically evaluated. RESULTS: The mean value with standard deviation of greyscale values for cystic lesions was 1208.375 ± 93 and for that of the tumour group was 1603 ± 425.5. CONCLUSIONS: The greyscale value is a useful tool in differentiating between different groups of osseous lesions of jaws. |
format | Online Article Text |
id | pubmed-7425220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Termedia Publishing House |
record_format | MEDLINE/PubMed |
spelling | pubmed-74252202020-08-16 Cone beam computed tomography – extending its arm to explore new possibilities Chaudhari, Prajakta P. Bhadage, Chetan Bhoosreddy, Ajay Bramhe, Pragati Rathod, Prutha Dange, Shreya Pol J Radiol Original Paper PURPOSE: To determine whether the greyscale value depicted in cone beam computed tomography (CBCT) differentiates different benign osseous lesions of jaws and to measure the greyscale value of various osseous lesions of jaws and to find the correlation (if any) of these greyscale values to that of histopathological diagnosis. MATERIAL AND METHODS: This study was conducted in the Department of Oral Medicine and Radiology of the Dental Institute after obtaining approval from the Ethical Committee. CBCT scans of osseous lesions of jaws confirmed with histopathological reports depicting cystic or tumour-like lesions were included in the study. Greyscale values depicted in CBCT scans of osseous lesions were measured. The greyscale values were grouped as per the histopathological diagnosis, and these ranges were then tabulated and statistically evaluated. RESULTS: The mean value with standard deviation of greyscale values for cystic lesions was 1208.375 ± 93 and for that of the tumour group was 1603 ± 425.5. CONCLUSIONS: The greyscale value is a useful tool in differentiating between different groups of osseous lesions of jaws. Termedia Publishing House 2020-07-10 /pmc/articles/PMC7425220/ /pubmed/32817767 http://dx.doi.org/10.5114/pjr.2020.97656 Text en Copyright © Polish Medical Society of Radiology 2020 https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0). License (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Original Paper Chaudhari, Prajakta P. Bhadage, Chetan Bhoosreddy, Ajay Bramhe, Pragati Rathod, Prutha Dange, Shreya Cone beam computed tomography – extending its arm to explore new possibilities |
title | Cone beam computed tomography – extending its arm to explore new possibilities |
title_full | Cone beam computed tomography – extending its arm to explore new possibilities |
title_fullStr | Cone beam computed tomography – extending its arm to explore new possibilities |
title_full_unstemmed | Cone beam computed tomography – extending its arm to explore new possibilities |
title_short | Cone beam computed tomography – extending its arm to explore new possibilities |
title_sort | cone beam computed tomography – extending its arm to explore new possibilities |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425220/ https://www.ncbi.nlm.nih.gov/pubmed/32817767 http://dx.doi.org/10.5114/pjr.2020.97656 |
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