[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"mandible\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:mandible":27},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,3,0,[8,41,80],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":4,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":30,"lastUpdatePostDateStruct":31,"startDateStruct":34,"completionDateStruct":36,"leadSponsor":38,"locationsCount":4},"100650812","radiographic-predictors-of-the-mandibular-lateral-lingual-canal-100650812",false,"NCT07752914","Radiographic Predictors of the Mandibular Lateral Lingual Canal","Mandibular Canal Dimensions and Sublingual Fossa Morphology as Predictors of the Mandibular Lateral Lingual Canal","Inclusion Criteria\n\n* Individuals aged 18 to 75 years.\n* Availability of previously acquired cone-beam computed tomography (CBCT) images obtained for diagnostic purposes.\n* Presence of a unilateral mandibular lateral lingual canal (MLLC) on CBCT images.\n* CBCT images of sufficient diagnostic quality to evaluate the location, diameter, and course of the MLLC.\n* Both mandibular sides included in the same CBCT examination, allowing comparison between the side with the MLLC and the contralateral side.\n* Absence of significant motion artifacts, metal artifacts, or reconstruction errors in the regions to be measured.\n\nExclusion Criteria\n\n* CBCT images of insufficient quality for morphometric measurement or anatomical assessment.\n* Inability to clearly identify the mandibular canal, mental foramen, MLLC, or sublingual fossa boundaries.\n* Presence of bilateral mandibular lateral lingual canals.\n* History of surgery, trauma, fracture, resection, bone grafting, or implant placement in the mandibular region under evaluation.\n* Motion or metal artifacts that prevent reliable visualization or measurement of the anatomical structures.\n* History of systemic disease or syndrome affecting craniofacial or mandibular development.\n* Presence of cystic or tumoral lesions, exostoses, or other pathological changes affecting the region of interest.\n* History of orthodontic treatment affecting the region evaluated.",true,"ALL","18 Years","75 Years",{"count":21,"type":22},210,"ESTIMATED","OBSERVATIONAL","The purpose of this retrospective observational study is to investigate whether mandibular canal dimensions and sublingual fossa morphology can serve as radiographic predictors of the mandibular lateral lingual canal (MLLC) using cone-beam computed tomography (CBCT). CBCT images of adults with unilateral MLLC will be retrospectively evaluated. Mandibular canal diameter, mental foramen diameter, and sublingual fossa depth will be compared between the side with the MLLC and the contralateral side. In addition, the location, diameter, and course of the MLLC will be analyzed to identify radiographic features associated with its presence and to improve preoperative assessment for mandibular surgical procedures.",[26,27,28],"Mandibular Canal Visibility","MANDIBLE","CBCT Segmentation","NOT_YET_RECRUITING","2026-08-02",{"date":32,"type":33},"2026-08-07","ACTUAL",{"date":35,"type":22},"2026-08-04",{"date":37,"type":22},"2026-09-30",{"name":39,"class":40},"Recep Tayyip Erdogan University Training and Research Hospital","OTHER",{"id":42,"slug":43,"hasResults":11,"nctId":44,"briefTitle":45,"officialTitle":45,"acronym":46,"eligibilityCriteria":47,"healthyVolunteers":11,"sex":17,"minAge":48,"maxAge":19,"enrollmentInfo":49,"targetDuration":4,"studyType":51,"phases":52,"briefSummary":54,"conditions":55,"keywords":63,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":70,"lastUpdatePostDateStruct":71,"startDateStruct":73,"completionDateStruct":75,"leadSponsor":77,"locationsCount":79},"100648842","tissue-preservation-in-immediate-1c-implants-using-an-anatomical-prefabricated-healing-abutment-100648842","NCT07727980","Tissue Preservation in Immediate 1C Implants Using an Anatomical Prefabricated Healing Abutment","Aharct","Inclusion Criteria:\n\n* Willing to sign an IRB-approved informed consent and HIPAA authorization form prior to participation.\n* Between the ages of 20 and 75 years old.\n* ASA Classification I and II.\n* Hopeless maxillary or mandibular posterior teeth, eligible for immediate implantation, and with intact\u002Fsuccessfully restored adjacent teeth.\n* Willing to perform tasks associated with the study and to attend all study visits.\n\nExclusion Criteria:\n\n* HbA1c \\>6.5%) as per a chairside test (Siemens Bayer DCA 2000+);\n* smoker (any status);\n* immunodeficiency;\n* history of head and neck radiotherapy;\n* intake of bone anti-resorptive drugs;\n* cysts or tumors in the area;\n* self-reported pregnancy;\n* poor oral hygiene;\n* active periodontal disease;\n* acute endodontic infection and pus discharge on the site itself and adjacent areas;\n* lack of mutually protected occlusion;\n* insufficient inter-occlusal clearance (\\\u003C15 mm);\n* sites with an existing midfacial mucogingival recession\u002Fdeficiency (scar tissue);\n* sites with a high-scalloped, thin biotype.\n\nThose who appear to qualify will have a CBCT scan taken with an open bite and proper retractions of the cheek, lips, and tongue (standard of care), and the following inclusion criteria, based on the CBCT results, must be present in order for the subject to be fully enrolled in the study:\n\n* Sites with an intact or minimally damaged facial bone plate measuring greater than 1 mm in thickness;\n* Sites with at least 5 mm of healthy bone between the socket apex and the relevant anatomical structure (e.g., the maxillary sinus floor in the maxilla or the inferior alveolar nerve, submandibular\u002Fsublingual fossa, mental foramen, or anterior loop of the inferior alveolar nerve in the mandible);\n* In multirooted molar sockets, the presence of a short root trunk and an interradicular septum with a minimum height of 5 mm and a thickness of 3 mm.","20 Years",{"count":50,"type":22},30,"INTERVENTIONAL",[53],"NA","The goal of this clinical trial is to evaluate whether an anatomical prefabricated healing abutment (AHA) improves tissue preservation and clinical outcomes following immediate implant placement after tooth extraction in adults. Although immediate implant placement is a well-established treatment for replacing missing teeth, healing can result in changes to the surrounding bone and soft tissues that may affect the esthetic appearance, function, and long-term stability of the implant-supported restoration. This study will compare an anatomical healing abutment, designed to mimic the natural tooth emergence profile and support peri-implant tissues during healing, with a conventional healing abutment. The primary objectives are to determine whether the AHA better preserves soft tissue contours and alveolar bone, improves implant positioning accuracy and tissue stability during healing, and differs from a conventional healing abutment in complications or adverse events. Eligible participants will be adults requiring extraction of a hopeless tooth in the posterior maxilla or mandible who are suitable candidates for immediate implant placement. Following tooth extraction and implant placement, participants will receive either an anatomical prefabricated healing abutment or a conventional healing abutment and will return for scheduled follow-up visits over approximately 12 months to assess healing, implant stability, and changes in the surrounding hard and soft tissues. Researchers will collect clinical measurements, digital intraoral scans, photographs, and radiographic images throughout the study. Additional research imaging will be used to generate three-dimensional models to measure tissue volume changes and implant position accuracy. Specialized software will compare changes between the two groups over time. Safety will be evaluated by monitoring participants for complications, discomfort, inflammation, implant-related problems, and other adverse events throughout follow-up. All procedures will be performed by trained dental professionals using established clinical protocols. The results may improve understanding of how healing abutment design influences tissue preservation after immediate implant placement and help optimize future implant therapy by supporting better functional, esthetic, and long-term outcomes.",[56,57,58,59,60,61,62,27],"Tooth Loss","Dental Implant","Clinical Trials","Randomized Controlled Trial","Immediate Dental Implant Placement","Molar Extraction Socket","Maxilla",[64,65,66,67,68,69],"3-dimensional imaging","wound healing","healing abutments","immediate implant placement","soft tissue dimensional alterations","implant position accuracy","2026-07-24",{"date":72,"type":33},"2026-07-27",{"date":74,"type":22},"2026-09",{"date":76,"type":22},"2028-09",{"name":78,"class":40},"University of Illinois at Chicago",2,{"id":81,"slug":82,"hasResults":11,"nctId":83,"briefTitle":84,"officialTitle":85,"acronym":4,"eligibilityCriteria":86,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":87,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":89,"conditions":90,"keywords":96,"overallStatus":104,"whyStopped":4,"lastUpdateSubmitDate":105,"lastUpdatePostDateStruct":106,"startDateStruct":107,"completionDateStruct":109,"leadSponsor":111,"locationsCount":113},"100648663","validating-ai-for-gender-prediction-using-morphometric-analysis-of-the-mandible-100648663","NCT07726290","Validating AI for Gender Prediction Using Morphometric Analysis of the Mandible","The Accuracy of Artificial Intelligence in Gender Prediction Using Morphometric Analysis of the Mandible - a Validity Study","Inclusion Criteria:\n\n* Scans belonging to patients above or at the age of 18 years (≥ 18 years)\n* Scans that image the area of interest clearly (mandible) with a craniofacial or maxillomandibular field of view.\n* Good quality of the scan with no artefacts\n\nExclusion Criteria:\n\n* CBCT scans with significant artifacts (e.g. metal artefact) affecting visualization of the mandible\n* Congenital craniofacial anomalies affecting the mandibular anatomy\n* Large pathologies that affect the mandible's dimensions and cause significant bone loss.\n* Trauma to the mandible",{"count":88,"type":22},385,"This retrospective validity study evaluates the accuracy of artificial intelligence (AI) in determining gender from mandibular morphometric linear measurements. The study utilizes pre-existing Cone Beam Computed Tomography (CBCT) scans of adult Egyptian dental patients. After automatic segmentation of the mandible from these scans, a radiologist will manually perform measurements from certain anatomical points. These measurements will be the reference standard for the AI models.\n\nA three-dimensional deep learning model will be developed to perform two tasks:\n\n1. To identify the anatomical points and make the specified linear measurements from these points on the segmented mandibles\n2. To accurately predict gender based on these measurements. (Main Objective) The primary objective of this study is to evaluate the accuracy of machine learning algorithms in gender identification from linear morphometric measurements of the mandible. The known gender from patient records will serve as the reference standard.\n\nThis study will assess the reliability of AI as an objective tool for gender determination for forensic purposes.",[91,27,92,93,94,95],"Gender","Forensic Dentistry","Morphometric Analysis","Artifical Intelligence","Gender Prediction",[97,98,99,100,101,102,103],"gender prediction","gender determination","morphometric analysis of the mandible","mandible dimorphism","artifical intelligence","machine learning","linear measurements of the mandible","RECRUITING","2026-07-22",{"date":70,"type":33},{"date":108,"type":33},"2026-06-01",{"date":110,"type":22},"2027-05-01",{"name":112,"class":40},"Cairo University",1]