[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"endodontic-retreatment\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:endodontic-retreatment":29},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,51],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":24,"briefSummary":26,"conditions":27,"keywords":31,"overallStatus":38,"whyStopped":4,"lastUpdateSubmitDate":39,"lastUpdatePostDateStruct":40,"startDateStruct":43,"completionDateStruct":45,"leadSponsor":47,"locationsCount":50},"100649456","cryotherapy-pge2-ngf-levels-and-pain-after-endodontic-retreatment-100649456",false,"NCT07733700","Cryotherapy, PGE2, NGF Levels and Pain After Endodontic Retreatment","Evaluation of the Relationship Between PGE2, NGF, and Postoperative Pain in Patients With and Without Intracanal Cryotherapy in Single-visit Endodontic Retreatment","ICE-PAIN","Inclusion Criteria:\n\n* Age 18-65 years, systemically healthy individuals (ASA I-II)\n* Single-rooted mandibular premolar teeth with a previous root canal treatment, requiring non-surgical retreatment due to asymptomatic apical periodontitis\n* Presence of periapical radiolucency (Periapical Index \\[PAI\\] ≥ 3)\n* No antibiotic use within the past 1 month\n* Willing to participate and has signed the informed consent form\n\nExclusion Criteria:\n\n* Pregnancy or lactation\n* Uncontrolled diabetes mellitus (HbA1c \\> 7%), diagnosed autoimmune disease, or receiving immunosuppressive therapy\n* Systemic corticosteroid use within the past 3 months\n* Body mass index (BMI) greater than 35 kg\u002Fm²\n* Presence of acute infection (e.g., acute apical abscess or cellulitis)\n* Conditions precluding retreatment, including advanced periodontal breakdown (clinical attachment loss \\> 5 mm), root resorption, perforation, or advanced canal calcification\n* Absence of an opposing (antagonist) tooth resulting in lack of functional occlusal contact\n* Diagnosed chronic pain syndrome or currently receiving active psychiatric treatment\n* Smoking more than 10 cigarettes per day\n* Use of analgesics or NSAIDs within the past 24 hours\n* Antibiotic use within the past 1 month","ALL","18 Years","65 Years",{"count":21,"type":22},100,"ESTIMATED","INTERVENTIONAL",[25],"NA","This prospective, randomized, controlled, single-blind, parallel-group clinical trial evaluates whether intracanal cryotherapy reduces postoperative pain and inflammatory biomarker levels following single-visit endodontic retreatment of teeth with asymptomatic apical periodontitis. A total of 100 patients (18-65 years, systemically healthy, ASA I-II) requiring non-surgical retreatment of a single-rooted mandibular premolar tooth will be randomly assigned via computer-generated randomization to one of two equal groups (n=50 each): a cryotherapy group, receiving intracanal final irrigation with sterile saline cooled to 2.5°C for 5 minutes, and a control group, receiving the same irrigation protocol with saline at room temperature (20-22°C). Salivary nerve growth factor (NGF) and gingival crevicular fluid (GCF) prostaglandin E2 (PGE2) levels will be measured by ELISA at baseline (T0), 24 hours (T1), and 72 hours (T2). Postoperative pain will be assessed using a visual analog scale (VAS, 0-100 mm) at 6, 12, 24, 48, and 72 hours and on day 7, with the 24-hour VAS score as the primary comparison point. Rescue analgesic (paracetamol) consumption will also be recorded and compared between groups. The study aims to determine whether intracanal cryotherapy lowers postoperative pain and biomarker levels compared to standard-temperature irrigation, and to evaluate the correlation between PGE2\u002FNGF levels and pain intensity.",[28,29,30],"Asymptomatic Apical Periodontitis","Endodontic Retreatment","Cryotherapy",[32,33,34,35,29,36,37],"Intracanal Cryotherapy","Postoperative Pain","Prostaglandin E2","Nerve Growth Factor","Gingival Crevicular Fluid","Saliva Biomarkers","NOT_YET_RECRUITING","2026-07-28",{"date":41,"type":42},"2026-07-29","ACTUAL",{"date":44,"type":22},"2026-08-01",{"date":46,"type":22},"2027-09-01",{"name":48,"class":49},"Alanya Alaaddin Keykubat University","OTHER",1,{"id":52,"slug":53,"hasResults":11,"nctId":54,"briefTitle":55,"officialTitle":55,"acronym":56,"eligibilityCriteria":57,"healthyVolunteers":11,"sex":17,"minAge":4,"maxAge":4,"enrollmentInfo":58,"targetDuration":4,"studyType":23,"phases":60,"briefSummary":61,"conditions":62,"keywords":73,"overallStatus":38,"whyStopped":4,"lastUpdateSubmitDate":80,"lastUpdatePostDateStruct":81,"startDateStruct":83,"completionDateStruct":85,"leadSponsor":87,"locationsCount":4},"100640138","development-and-validation-of-a-deep-learning-model-to-predict-endodontic-retreatment-difficulty-from-periapical-radiographs-100640138","NCT07611279","Development and Validation of a Deep Learning Model to Predict Endodontic Retreatment Difficulty From Periapical Radiographs","Ai Retreatment","Inclusion Criteria:\n\nPeriapical radiographs of maxillary and mandibular molars requiring non-surgical endodontic retreatment will be included. Radiographs should exhibit satisfactory image quality, characterized by adequate sharpness, contrast, and minimal distortion or noise to allow accurate assessment of relevant anatomical and treatment-related features. Images should clearly display the tooth of interest, surrounding periapical structures, and any existing root canal filling materials or restorations.\n\nExclusion Criteria:\n\nDeciduous teeth, non-restorable, non-treated teeth",{"count":59,"type":22},123,[25],"The aim of this study is to develop and evaluate an artificial intelligence-based model capable of analyzing periapical radiographs of maxillary and mandibular molars to predict the difficulty level of non-surgical root canal retreatment. By integrating deep learning techniques with routinely acquired periapical radiographs, this study aims to enhance diagnostic support, improve clinical decision-making, and facilitate appropriate case selection or referral in endodontic practice.",[29,63,64,65,66,67,68,69,70,71,72],"Non-surgical Retreatment","Endodontics","AI (Artificial Intelligence)","Deep Learning Model","DIFFICULTY ASSESSMENT","SEPARATED INSTRUMENT","Perforation","Missed Canals","Poor Obturation","Obturation Quality",[74,75,76,77,78,79],"endodontic retreatment","difficulty assessment","endodontics","ai","artificial intelligence","deep learning model","2026-05-20",{"date":82,"type":42},"2026-05-28",{"date":84,"type":22},"2026-07",{"date":86,"type":22},"2027-01",{"name":88,"class":49},"Cairo University"]