Three-Dimensional versus two- dimensional Radiographic Analysis of Alveolar Bone Dimensions and Maxillofacial Landmarks: A Comparative Evaluation for Precision Treatment Planning Article Swipe
Preeti Upadhyay
,
Manpreet Kaur
,
Manika Jindal Mittel
,
Sandeep Kumar
,
Deepanshu Panwar
,
Aniruddha B. Pandit
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.63682/jns.v14i32s.7549
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.63682/jns.v14i32s.7549
Background: Dental radiography is essential for diagnosing oral and maxillofacial conditions. Panoramic radiography (OPG) offers a cost-effective two-dimensional view suitable for routine assessments, while cone-beam computed tomography (CBCT) provides three-dimensional imaging, ideal for complex cases like implant planning and surgical precision. Although OPG is quick and low in radiation, it has spatial inaccuracies, making CBCT preferable for advanced diagnostics. Evaluating OPG's magnification factor is vital for accurate diagnoses. Methods: Seventy-five patients at Inderprastha Dental College and Hospital with clear OPG and CBCT images of maxillary and mandibular landmarks were included. Only patients without jaw pathologies and with healthy periodontal conditions were selected. Vertical and horizontal distances from key anatomical sites were measured, with CBCT used as the reference. Statistical analyses validated the results. Results: OPG measurements of alveolar bone dimensions were comparable to CBCT, showing a strong positive correlation (r = 0.924 to 0.994; p < 0.001). Minor accuracy discrepancies were noted in complex regions, although statistically insignificant. These variations may be relevant in high-precision cases like implant placement. CBCT’s three-dimensional imaging provides superior insights into critical spatial relationships. Conclusion: OPG is reliable for routine alveolar bone measurements, but slight variations in complex areas can affect precision. While OPG is effective for preliminary assessments, CBCT offers enhanced accuracy for intricate cases, such as surgical procedures.
Related Topics
Concepts
Medicine
Radiography
Cone beam computed tomography
Dental alveolus
Magnification
Radiation treatment planning
Dental radiography
Orthodontics
Dentistry
Conventional radiography
Dental implant
Implant
Computed tomography
Radiology
Nuclear medicine
Radiation therapy
Surgery
Artificial intelligence
Computer science
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.63682/jns.v14i32s.7549
- https://www.jneonatalsurg.com/index.php/jns/article/download/7549/6572/24422
- OA Status
- diamond
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411497239
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4411497239Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.63682/jns.v14i32s.7549Digital Object Identifier
- Title
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Three-Dimensional versus two- dimensional Radiographic Analysis of Alveolar Bone Dimensions and Maxillofacial Landmarks: A Comparative Evaluation for Precision Treatment PlanningWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-06-20Full publication date if available
- Authors
-
Preeti Upadhyay, Manpreet Kaur, Manika Jindal Mittel, Sandeep Kumar, Deepanshu Panwar, Aniruddha B. PanditList of authors in order
- Landing page
-
https://doi.org/10.63682/jns.v14i32s.7549Publisher landing page
- PDF URL
-
https://www.jneonatalsurg.com/index.php/jns/article/download/7549/6572/24422Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
- OA URL
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https://www.jneonatalsurg.com/index.php/jns/article/download/7549/6572/24422Direct OA link when available
- Concepts
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Medicine, Radiography, Cone beam computed tomography, Dental alveolus, Magnification, Radiation treatment planning, Dental radiography, Orthodontics, Dentistry, Conventional radiography, Dental implant, Implant, Computed tomography, Radiology, Nuclear medicine, Radiation therapy, Surgery, Artificial intelligence, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.While | 197 |
| abstract_inverted_index.areas | 193 |
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| abstract_inverted_index.sites | 109 |
| abstract_inverted_index.vital | 64 |
| abstract_inverted_index.while | 23 |
| abstract_inverted_index.(CBCT) | 27 |
| abstract_inverted_index.0.994; | 143 |
| abstract_inverted_index.Dental | 1, 73 |
| abstract_inverted_index.affect | 195 |
| abstract_inverted_index.cases, | 210 |
| abstract_inverted_index.factor | 62 |
| abstract_inverted_index.images | 82 |
| abstract_inverted_index.making | 53 |
| abstract_inverted_index.offers | 14, 205 |
| abstract_inverted_index.slight | 189 |
| abstract_inverted_index.strong | 136 |
| abstract_inverted_index.0.001). | 146 |
| abstract_inverted_index.College | 74 |
| abstract_inverted_index.complex | 33, 153, 192 |
| abstract_inverted_index.healthy | 97 |
| abstract_inverted_index.imaging | 171 |
| abstract_inverted_index.implant | 36, 167 |
| abstract_inverted_index.routine | 21, 184 |
| abstract_inverted_index.showing | 134 |
| abstract_inverted_index.spatial | 51, 177 |
| abstract_inverted_index.without | 92 |
| abstract_inverted_index.Although | 41 |
| abstract_inverted_index.CBCT’s | 169 |
| abstract_inverted_index.Hospital | 76 |
| abstract_inverted_index.Methods: | 68 |
| abstract_inverted_index.Results: | 123 |
| abstract_inverted_index.Vertical | 102 |
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| abstract_inverted_index.accurate | 66 |
| abstract_inverted_index.advanced | 57 |
| abstract_inverted_index.although | 155 |
| abstract_inverted_index.alveolar | 127, 185 |
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| abstract_inverted_index.computed | 25 |
| abstract_inverted_index.critical | 176 |
| abstract_inverted_index.enhanced | 206 |
| abstract_inverted_index.imaging, | 30 |
| abstract_inverted_index.insights | 174 |
| abstract_inverted_index.patients | 70, 91 |
| abstract_inverted_index.planning | 37 |
| abstract_inverted_index.positive | 137 |
| abstract_inverted_index.provides | 28, 172 |
| abstract_inverted_index.regions, | 154 |
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| abstract_inverted_index.reliable | 182 |
| abstract_inverted_index.results. | 122 |
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| abstract_inverted_index.superior | 173 |
| abstract_inverted_index.surgical | 39, 213 |
| abstract_inverted_index.Panoramic | 11 |
| abstract_inverted_index.cone-beam | 24 |
| abstract_inverted_index.distances | 105 |
| abstract_inverted_index.effective | 200 |
| abstract_inverted_index.essential | 4 |
| abstract_inverted_index.included. | 89 |
| abstract_inverted_index.intricate | 209 |
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| abstract_inverted_index.maxillary | 84 |
| abstract_inverted_index.measured, | 111 |
| abstract_inverted_index.selected. | 101 |
| abstract_inverted_index.validated | 120 |
| abstract_inverted_index.Evaluating | 59 |
| abstract_inverted_index.anatomical | 108 |
| abstract_inverted_index.comparable | 131 |
| abstract_inverted_index.conditions | 99 |
| abstract_inverted_index.diagnoses. | 67 |
| abstract_inverted_index.diagnosing | 6 |
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| abstract_inverted_index.mandibular | 86 |
| abstract_inverted_index.placement. | 168 |
| abstract_inverted_index.precision. | 40, 196 |
| abstract_inverted_index.preferable | 55 |
| abstract_inverted_index.radiation, | 48 |
| abstract_inverted_index.reference. | 117 |
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| abstract_inverted_index.Conclusion: | 179 |
| abstract_inverted_index.Statistical | 118 |
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| abstract_inverted_index.correlation | 138 |
| abstract_inverted_index.pathologies | 94 |
| abstract_inverted_index.periodontal | 98 |
| abstract_inverted_index.preliminary | 202 |
| abstract_inverted_index.procedures. | 214 |
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| abstract_inverted_index.relationships. | 178 |
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| abstract_inverted_index.three-dimensional | 29, 170 |
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| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
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