These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
43. External validation of cone-beam computed tomography- and panoramic radiography-featured prediction models for inferior alveolar nerve injury after lower third molar removal: proposal of a risk calculator. Kubota S; Imai T; Nishimoto A; Amekawa S; Uzawa N Odontology; 2023 Jan; 111(1):178-191. PubMed ID: 35604499 [TBL] [Abstract][Full Text] [Related]
44. [Relationship between the impacted mandibular third molar and the mandibular canal on panoramic radiograph and cone beam computed tomography]. Chen Q; Liu DG; Zhang G; Ma XC Zhonghua Kou Qiang Yi Xue Za Zhi; 2009 Apr; 44(4):217-21. PubMed ID: 19576002 [TBL] [Abstract][Full Text] [Related]
45. Difficulty of impacted mandibular third molar tooth removal: predictive ability of senior surgeons and residents. Komerik N; Muglali M; Tas B; Selcuk U J Oral Maxillofac Surg; 2014 Jun; 72(6):1062.e1-6. PubMed ID: 24656427 [TBL] [Abstract][Full Text] [Related]
46. An Analysis of Dentigerous Cysts Developed around a Mandibular Third Molar by Panoramic Radiographs. Terauchi M; Akiya S; Kumagai J; Ohyama Y; Yamaguchi S Dent J (Basel); 2019 Feb; 7(1):. PubMed ID: 30720707 [TBL] [Abstract][Full Text] [Related]
47. Comparison of orthopantomography and computed tomography image for assessing the relationship between impacted mandibular third molar and mandibular canal. Katakam SK; Shankar U; Thakur D; Reddy TP; Hari KR; Janga D J Contemp Dent Pract; 2012 Nov; 13(6):819-23. PubMed ID: 23404009 [TBL] [Abstract][Full Text] [Related]
48. Quantitative level determination of fixed restorations on panoramic radiographs using deep learning. Top AE; Özdoğan MS; Yeniad M Int J Comput Dent; 2023 Nov; 26(4):285-299. PubMed ID: 36705319 [TBL] [Abstract][Full Text] [Related]
49. Evaluation of difficulty index of impacted mandibular third molar extractions. Jeyashree T; Kumar MPS J Adv Pharm Technol Res; 2022 Nov; 13(Suppl 1):S98-S101. PubMed ID: 36643150 [TBL] [Abstract][Full Text] [Related]
50. Classification of presence of missing teeth in each quadrant using deep learning artificial intelligence on panoramic radiographs of pediatric patients. Kim E; Hwang JJ; Cho BH; Lee E; Shin J J Clin Pediatr Dent; 2024 May; 48(3):76-85. PubMed ID: 38755985 [TBL] [Abstract][Full Text] [Related]
51. Accuracy of digital and film panoramic radiographs for assessment of position and morphology of mandibular third molars and prevalence of dental anomalies and pathologies. Benediktsdottir IS; Hintze H; Petersen JK; Wenzel A Dentomaxillofac Radiol; 2003 Mar; 32(2):109-15. PubMed ID: 12775665 [TBL] [Abstract][Full Text] [Related]
52. Assessment of factors associated with surgical difficulty during removal of impacted maxillary third molars. de Carvalho RW; de Araújo Filho RC; do Egito Vasconcelos BC J Oral Maxillofac Surg; 2013 May; 71(5):839-45. PubMed ID: 23598549 [TBL] [Abstract][Full Text] [Related]
53. Effect of removing an impacted mandibular third molar on the periodontal status of the mandibular second molar. Montero J; Mazzaglia G J Oral Maxillofac Surg; 2011 Nov; 69(11):2691-7. PubMed ID: 21864969 [TBL] [Abstract][Full Text] [Related]
54. Assessment of factors associated with surgical difficulty during removal of impacted lower third molars. Carvalho RW; do Egito Vasconcelos BC J Oral Maxillofac Surg; 2011 Nov; 69(11):2714-21. PubMed ID: 21752507 [TBL] [Abstract][Full Text] [Related]
55. Diagnostic accuracy of cone-beam CT compared with panoramic images in predicting retromolar canal during extraction of impacted mandibular third molars. Sisman Y; Ercan-Sekerci A; Payveren-Arikan M; Sahman H Med Oral Patol Oral Cir Bucal; 2015 Jan; 20(1):e74-81. PubMed ID: 25475767 [TBL] [Abstract][Full Text] [Related]
56. Transformer-Based Deep Learning Network for Tooth Segmentation on Panoramic Radiographs. Sheng C; Wang L; Huang Z; Wang T; Guo Y; Hou W; Xu L; Wang J; Yan X J Syst Sci Complex; 2023; 36(1):257-272. PubMed ID: 36258771 [TBL] [Abstract][Full Text] [Related]
57. Radiographic Evaluation of Impacted Third Mandibular Molar According to the Classification of Winter, Pell and Gregory in a Sample of Cameroonian Population. Jacques E; Ebogo M; Eng YC; Donald N; Odile Z Ethiop J Health Sci; 2023 Sep; 33(5):851-858. PubMed ID: 38784512 [TBL] [Abstract][Full Text] [Related]
58. Use of panoramic radiography to predict postsurgical sensory impairment following extraction of impacted mandibular third molars. Huang CK; Lui MT; Cheng DH J Chin Med Assoc; 2015 Oct; 78(10):617-22. PubMed ID: 26041067 [TBL] [Abstract][Full Text] [Related]
59. A comprehensive classification for impacted cuspids and bicuspids with a proposal for Difficulty Index Categorization: a single center evaluation of 4165 cases. Pendem S; Bharadwaj S; Selvarasu K; Sridharan G; Krishnan M; Mr M Minerva Dent Oral Sci; 2024 Apr; 73(2):81-87. PubMed ID: 36786682 [TBL] [Abstract][Full Text] [Related]
60. A comparative study of cone-beam computed tomography and conventional panoramic radiography in assessing the topographic relationship between the mandibular canal and impacted third molars. Tantanapornkul W; Okouchi K; Fujiwara Y; Yamashiro M; Maruoka Y; Ohbayashi N; Kurabayashi T Oral Surg Oral Med Oral Pathol Oral Radiol Endod; 2007 Feb; 103(2):253-9. PubMed ID: 17234544 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]