For: | Acar B, Kamburoğlu K. Use of cone beam computed tomography in periodontology. World J Radiol 2014; 6(5): 139-147 [PMID: 24876918 DOI: 10.4329/wjr.v6.i5.139] |
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URL: | https://www.wjgnet.com/1949-8470/full/v6/i5/139.htm |
Number | Citing Articles |
1 |
Tuğba Yiğit, Halil Tolga Yüksel, Şehrazat Evirgen, Işıl Kaçmaz, Ayşegül Türkmenoğlu. Evaluation of use of cone beam computed tomography in paediatric patients: A cross‐sectional study. International Journal of Paediatric Dentistry 2023; 33(5): 468 doi: 10.1111/ipd.13046
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2 |
David M. Kim, Seyed Hossein Bassir. When Is Cone‐Beam Computed Tomography Imaging Appropriate for Diagnostic Inquiry in the Management of Inflammatory Periodontitis? An American Academy of Periodontology Best Evidence Review. Journal of Periodontology 2017; 88(10): 978 doi: 10.1902/jop.2017.160505
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3 |
Raghavendra Vamsi Anegundi, Santhosh B. Shenoy, Anahita Punj. Gingival biotype as an indicator for the buccal bone thickness - a systematic review of the literature. Evidence-Based Dentistry 2021; doi: 10.1038/s41432-021-0206-y
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4 |
Wei-Chih Chen, Lisa Alice Hwang, Wei-Che Lin, Ching-Nung Wu, Wei-Chia Su, Kuan-Chung Fang, Sheng-Dean Luo. Curved Planar Reformation: A Useful Method for Screening Dental Pathologies in Chronic Rhinosinusitis via Paranasal Sinus Computed Tomography. Tomography 2022; 8(5): 2330 doi: 10.3390/tomography8050194
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5 |
Wanghong He, Minli You, Wanting Wan, Feng Xu, Fei Li, Ang Li. Point-of-Care Periodontitis Testing: Biomarkers, Current Technologies, and Perspectives. Trends in Biotechnology 2018; 36(11): 1127 doi: 10.1016/j.tibtech.2018.05.013
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6 |
ZahraDalili Kajan, SeyedEbrahim Seyed Monir, Negar Khosravifard, Delara Jahri. Fenestration and dehiscence in the alveolar bone of anterior maxillary and mandibular teeth in cone-beam computed tomography of an Iranian population. Dental Research Journal 2020; 17(5): 380 doi: 10.4103/1735-3327.294327
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7 |
Kıvanç Kamburoğlu, Gülden Ereş, Ceren Akgün. Qualitative and Quantitative Assessment of Alveolar Bone Destruction in Adult Rats Using CBCT. Journal of Veterinary Dentistry 2019; 36(4): 245 doi: 10.1177/0898756420911108
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8 |
Marcus Middendorp, Konstantinos Kollias, Hanns Ackermann, Annina Splettstößer, Thomas J Vogl, M Fawad Khan, Adel Maataoui. Does therapist’s attitude affect clinical outcome of lumbar facet joint injections?. World Journal of Radiology 2016; 8(6): 628-634 doi: 10.4329/wjr.v8.i6.628
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9 |
Abdo Ismail, Firas Al Yafi. The Role of Radiographic Imaging in the Diagnosis and Management of Periodontal and Peri-Implant Diseases. Dental Clinics of North America 2024; 68(2): 247 doi: 10.1016/j.cden.2023.09.002
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10 |
Mayara Fidelis Bastos, Maria Augusta Visconti, Rafael Rocha Pinto, Rafael Binato Junqueira, Francielle Silvestre Verner. Assessing the Impact of the Metal Artifact Reduction Tool on Detecting Furcation Lesions in Maxillary Molars with Different Intracanal Posts: An Ex Vivo Cone-beam Computed Tomography Study. Journal of Endodontics 2024; 50(6): 835 doi: 10.1016/j.joen.2024.02.009
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11 |
F Çağlayan, S Dağistan, M Keleş. The osseous and dental changes of patients with chronic renal failure by CBCT. Dentomaxillofacial Radiology 2015; 44(5): 20140398 doi: 10.1259/dmfr.20140398
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12 |
Wenjian Zhang, Keagan Foss, Bing-Yan Wang. A retrospective study on molar furcation assessment via clinical detection, intraoral radiography and cone beam computed tomography. BMC Oral Health 2018; 18(1) doi: 10.1186/s12903-018-0544-0
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13 |
Kıvanç Kamburoğlu, Gülden Ereş, Ceren Akgün, Elif Naz Yeta, Orhan Gülen, Fatma Karacaoĝlu. Effect of voxel size on accuracy of cone beam computed tomography–aided assessment of periodontal furcation involvement. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 2015; 120(5): 644 doi: 10.1016/j.oooo.2015.07.030
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14 |
Mamta Juneja, Naveen Aggarwal, Sumindar Kaur Saini, Sahil Pathak, Maninder Kaur, Manojkumar Jaiswal. A comprehensive review on artificial intelligence-driven preprocessing, segmentation, and classification techniques for precision furcation analysis in radiographic images. Multimedia Tools and Applications 2024; doi: 10.1007/s11042-024-19920-3
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15 |
Selin ERGÜN, Pelin GÜNERİ. DENTAL DİJİTAL GÖRÜNTÜLEMEDE ÜÇÜNCÜ BOYUT. Atatürk Üniversitesi Diş Hekimliği Fakültesi Dergisi 2019; : 133 doi: 10.17567/ataunidfd.523071
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16 |
Mehrdad Abdinian, Mohammad Mahdi Salehi, Mojgan Mortazavi, Hassan Salehi, Maryam Kazemi Naeini. Comparison of dental and skeletal indices between patients under haemodialysis and peritoneal dialysis with healthy individuals in digital panoramic radiography. Dentomaxillofacial Radiology 2020; : 20200108 doi: 10.1259/dmfr.20200108
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17 |
Prameetha George Ittycheria, Thomas George Veliyaveetil, Annie Kitty George, Saumya John, Nebu George Thomas, Sunu Alice Cherian. Effectiveness of Platelet-Rich Fibrin with Decalcified Freeze-Dried Bone Allograft Compared to Decalcified Freeze-Dried Bone Allograft Alone in Mandibular Grade-II Furcation Defects: A Quasi-Experimental Study. Pesquisa Brasileira em Odontopediatria e Clínica Integrada 2023; 23 doi: 10.1590/pboci.2023.049
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18 |
Fatemeh Soheili, Niloufar Delfan, Negin Masoudifar, Shahin Ebrahimni, Behzad Moshiri, Michael Glogauer, Ebrahim Ghafar-Zadeh. Toward Digital Periodontal Health: Recent Advances and Future Perspectives. Bioengineering 2024; 11(9): 937 doi: 10.3390/bioengineering11090937
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19 |
Juncen Zhou, Carmine Wang See, Sai Sreenivasamurthy, Donghui Zhu. Customized Additive Manufacturing in Bone Scaffolds—The Gateway to Precise Bone Defect Treatment. Research 2023; 6 doi: 10.34133/research.0239
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20 |
Hayriye Cetmili, Melek Tassoker, Sevgi Sener. Comparison of cone-beam computed tomography with bitewing radiography for detection of periodontal bone loss and assessment of effects of different voxel resolutions: an in vitro study. Oral Radiology 2019; 35(2): 177 doi: 10.1007/s11282-018-0336-x
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21 |
Jayasheela Mallappa, Leena Patil, Adi Deepika Mani, Triveni M. Gowda. Novel biomaterial advanced platelet‐rich fibrin plus block for multiple gingival recession. Clinical Advances in Periodontics 2024; 14(1): 63 doi: 10.1002/cap.10257
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22 |
Jonathan Fleiner, Johan Wölber. Dentale Volumentomographie in der Parodontologie. Der Freie Zahnarzt 2020; 64(11): 80 doi: 10.1007/s12614-020-9430-7
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23 |
D. Figueiredo, Tiago Marques, A. Correia. VipIMAGE 2019. Lecture Notes in Computational Vision and Biomechanics 2019; 34: 639 doi: 10.1007/978-3-030-32040-9_66
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24 |
Leszek Dobrzański, Lech Dobrzański, Anna Dobrzańska-Danikiewicz, Joanna Dobrzańska. The Concept of Sustainable Development of Modern Dentistry. Processes 2020; 8(12): 1605 doi: 10.3390/pr8121605
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25 |
S. Lata, S. K. Mohanty, S. Vinay, Abhaya Chandra Das, Sanjib Das, Priyadarshini Choudhury. “Is Cone Beam Computed Tomography (CBCT) a Potential Imaging Tool in ENT Practice?: A Cross-Sectional Survey Among ENT Surgeons in the State of Odisha, India. Indian Journal of Otolaryngology and Head & Neck Surgery 2018; 70(1): 130 doi: 10.1007/s12070-017-1168-4
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26 |
Zeba Zareen, Sanjay Gupta, Gurpreet Dhinsa, Anjusha Sharda. A Role of Cone-beam Computed Tomography in Periodontics: A Review. Journal of Research and Advancement in Dentistry 2021; 12(5): 119 doi: 10.53064/jrad.2021.12.5.49
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27 |
Ufuk Tatli, Burcu Evlice. Computed Tomography - Advanced Applications. 2017; doi: 10.5772/intechopen.69282
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28 |
Eda Didem YALÇIN, Aslıhan ARTAŞ. Konik ışınlı bilgisayarlı tomografi istek nedenlerinin incelenmesi. Selcuk Dental Journal 2019; 6(3): 309 doi: 10.15311/selcukdentj.521096
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29 |
Bianca C. Gonçalves, Elaine C. de Araújo, Amanda D. Nussi, Naira Bechara, Dmitry Sarmento, Marcia S. Oliveira, Mauro P. Santamaria, Andre Luiz F. Costa, Sérgio Lopes. Texture analysis of cone‐beam computed tomography images assists the detection of furcal lesion. Journal of Periodontology 2020; 91(9): 1159 doi: 10.1002/JPER.19-0477
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30 |
Jonathan Korostoff, Ali Aratsu, Brian Kasten, Mel Mupparapu. Radiologic Assessment of the Periodontal Patient. Dental Clinics of North America 2016; 60(1): 91 doi: 10.1016/j.cden.2015.08.003
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31 |
Bianca Costa Gonçalves, Andre Luiz Ferreira Costa, Raquel Correa, Naira Maria Rebelatto Bechara Andere, Celso Massahiro Ogawa, Mauro Pedrine Santamaria, Sérgio Lucio Pereira de Castro Lopes. Analysis of geometrical tomographic parameters of furcation lesions in periodontitis patients. Heliyon 2021; 7(1): e06119 doi: 10.1016/j.heliyon.2021.e06119
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32 |
Eugen Bud, Mariana Păcurar, Alexandru Vlasa, Cristina Bica, Krisztina Martha, Daniela Eșian, Csilla Bukhari, Luminita Lazăr, Anamaria Bud. Cone Beam Computed Tomography Study on the Incidence of Endodontic Filling Biomaterials Resorption in Patients With/Without Orthodontic Treatment. Journal of Interdisciplinary Medicine 2021; 6(2): 103 doi: 10.2478/jim-2021-0023
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33 |
M. Elashiry, M. M. Meghil, R. M. Arce, C. W. Cutler. From manual periodontal probing to digital 3‐D imaging to endoscopic capillaroscopy: Recent advances in periodontal disease diagnosis. Journal of Periodontal Research 2019; 54(1): 1 doi: 10.1111/jre.12585
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34 |
Samaneh Bayat, Ahmad Reza Talaeipour, Fatemeh Sarlati. Detection of simulated periodontal defects using cone-beam CT and digital intraoral radiography. Dentomaxillofacial Radiology 2016; 45(6): 20160030 doi: 10.1259/dmfr.20160030
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35 |
Natasa Nikolic‐Jakoba, Rubens Spin‐Neto, Ann Wenzel. Cone‐Beam Computed Tomography for Detection of Intrabony and Furcation Defects: A Systematic Review Based on a Hierarchical Model for Diagnostic Efficacy. Journal of Periodontology 2016; 87(6): 630 doi: 10.1902/jop.2016.150636
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36 |
M. Ayşe Tayman, Kıvanç Kamburoğlu, Özlem Küçük, Funda S. Ö. Ateş, Meral Günhan. Comparison of linear and volumetric measurements obtained from periodontal defects by using cone beam-CT and micro-CT: an in vitro study. Clinical Oral Investigations 2019; 23(5): 2235 doi: 10.1007/s00784-018-2665-x
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37 |
Natasa Nikolic‐Jakoba, Milena Barac, Sasa Jankovic, Zoran Aleksic, Rubens Spin‐Neto, Ann Wenzel. Effect of section thickness on cone beam computed tomography‐based measurements of intrabony defects compared with clinical measurements. Journal of Periodontology 2021; 92(5): 670 doi: 10.1002/JPER.20-0338
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