Cone Beam Computerized Tomography Preoperative Guidance under Feature Point Extraction Algorithm Combined with Autologous Concentrated Growth Factors in Maxillary Dental Implantation with Insufficient Bone Mass
Objective It was to assess the efficacy of preoperative guidance using cone beam computed tomography (CBCT) and the application of autologous concentrated growth factors (CGF) for implantation in maxillary teeth with inadequate bone mass.Methods An eigenvector-based multimodal elasticity algorithm w...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2024.2335415 |
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| author | Fang Liu Wenjing Cui Tingting Wang Cheng Qian Ren Yang Rongxiu Zhang Li Xu Jie Hu Liang Liu Kai Zhang |
| author_facet | Fang Liu Wenjing Cui Tingting Wang Cheng Qian Ren Yang Rongxiu Zhang Li Xu Jie Hu Liang Liu Kai Zhang |
| author_sort | Fang Liu |
| collection | DOAJ |
| description | Objective It was to assess the efficacy of preoperative guidance using cone beam computed tomography (CBCT) and the application of autologous concentrated growth factors (CGF) for implantation in maxillary teeth with inadequate bone mass.Methods An eigenvector-based multimodal elasticity algorithm was developed. Eighty patients with insufficient bone mass in the maxillary dental region were rolled into control group (n = 40, Bio-Oss bone powder treatment) and observation group (n = 40, autologous CGF and Bio-Oss bone powder treatment). The scale-invariant feature transform (SIFT) algorithm and the hierarchical attribute matching mechanism for elastic registration (HAMMER) were introduced, whose registration time and mutual information value were compared. Therapeutic outcomes of patients were also compared.Results The eigenvector-based multimodal elastic algorithm exhibited a significantly shorter registration time versus SIFT and HAMMER algorithms, and superior accuracy, sensitivity, and specificity (p < .05). Observation group demonstrated greater alveolar ridge elevation and bone augmentation versus control group, implying superior healing outcomes.Conclusion The feature point extraction algorithm is applicable for CBCT image processing in patients with insufficient maxillary bone mass. Autologous CGF exhibited superior therapeutic efficacy. |
| format | Article |
| id | doaj-art-b9080fe91b8c43bfbac515592008aff3 |
| institution | Kabale University |
| issn | 0883-9514 1087-6545 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Applied Artificial Intelligence |
| spelling | doaj-art-b9080fe91b8c43bfbac515592008aff32024-12-16T16:13:01ZengTaylor & Francis GroupApplied Artificial Intelligence0883-95141087-65452024-12-0138110.1080/08839514.2024.2335415Cone Beam Computerized Tomography Preoperative Guidance under Feature Point Extraction Algorithm Combined with Autologous Concentrated Growth Factors in Maxillary Dental Implantation with Insufficient Bone MassFang Liu0Wenjing Cui1Tingting Wang2Cheng Qian3Ren Yang4Rongxiu Zhang5Li Xu6Jie Hu7Liang Liu8Kai Zhang9Department of Stomatology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui Province, ChinaDepartment of Stomatology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui Province, ChinaDepartment of Stomatology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui Province, ChinaDepartment of Gynecology and Obstetrics, The Third People’s Hospital of Bengbu, Bengbu, Anhui Province, ChinaDepartment of Stomatology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui Province, ChinaDepartment of Stomatology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui Province, ChinaDepartment of Stomatology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui Province, ChinaDepartment of Stomatology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui Province, ChinaDepartment of Stomatology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui Province, ChinaDepartment of Stomatology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui Province, ChinaObjective It was to assess the efficacy of preoperative guidance using cone beam computed tomography (CBCT) and the application of autologous concentrated growth factors (CGF) for implantation in maxillary teeth with inadequate bone mass.Methods An eigenvector-based multimodal elasticity algorithm was developed. Eighty patients with insufficient bone mass in the maxillary dental region were rolled into control group (n = 40, Bio-Oss bone powder treatment) and observation group (n = 40, autologous CGF and Bio-Oss bone powder treatment). The scale-invariant feature transform (SIFT) algorithm and the hierarchical attribute matching mechanism for elastic registration (HAMMER) were introduced, whose registration time and mutual information value were compared. Therapeutic outcomes of patients were also compared.Results The eigenvector-based multimodal elastic algorithm exhibited a significantly shorter registration time versus SIFT and HAMMER algorithms, and superior accuracy, sensitivity, and specificity (p < .05). Observation group demonstrated greater alveolar ridge elevation and bone augmentation versus control group, implying superior healing outcomes.Conclusion The feature point extraction algorithm is applicable for CBCT image processing in patients with insufficient maxillary bone mass. Autologous CGF exhibited superior therapeutic efficacy.https://www.tandfonline.com/doi/10.1080/08839514.2024.2335415 |
| spellingShingle | Fang Liu Wenjing Cui Tingting Wang Cheng Qian Ren Yang Rongxiu Zhang Li Xu Jie Hu Liang Liu Kai Zhang Cone Beam Computerized Tomography Preoperative Guidance under Feature Point Extraction Algorithm Combined with Autologous Concentrated Growth Factors in Maxillary Dental Implantation with Insufficient Bone Mass Applied Artificial Intelligence |
| title | Cone Beam Computerized Tomography Preoperative Guidance under Feature Point Extraction Algorithm Combined with Autologous Concentrated Growth Factors in Maxillary Dental Implantation with Insufficient Bone Mass |
| title_full | Cone Beam Computerized Tomography Preoperative Guidance under Feature Point Extraction Algorithm Combined with Autologous Concentrated Growth Factors in Maxillary Dental Implantation with Insufficient Bone Mass |
| title_fullStr | Cone Beam Computerized Tomography Preoperative Guidance under Feature Point Extraction Algorithm Combined with Autologous Concentrated Growth Factors in Maxillary Dental Implantation with Insufficient Bone Mass |
| title_full_unstemmed | Cone Beam Computerized Tomography Preoperative Guidance under Feature Point Extraction Algorithm Combined with Autologous Concentrated Growth Factors in Maxillary Dental Implantation with Insufficient Bone Mass |
| title_short | Cone Beam Computerized Tomography Preoperative Guidance under Feature Point Extraction Algorithm Combined with Autologous Concentrated Growth Factors in Maxillary Dental Implantation with Insufficient Bone Mass |
| title_sort | cone beam computerized tomography preoperative guidance under feature point extraction algorithm combined with autologous concentrated growth factors in maxillary dental implantation with insufficient bone mass |
| url | https://www.tandfonline.com/doi/10.1080/08839514.2024.2335415 |
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