Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

In proton therapy,prompt gamma-ray imaging is considered as one of the most promising methods for assessing proton beam range.Prompt gamma-ray imaging detector evaluates the proton beam range based on the prompt gamma-ray distribution obtained by the prompt gamma-ray imaging system,which enables high-precision measurement of the proton beam range.Herein a proton beam range verification algorithm is designed for the newly developed prototype of the range verification detector(pixelated prompt gamma-ray imaging detector),which verifies the range estimation accuracy of the prototype for different phantoms and different energies of homogeneous media through Monte Carlo simulation.The results show that the accuracy of the proton beam range verification algorithm is within 0.5 mm of the safety margin error of the Bragg peak,and the measurement accuracy is significantly improved with the increase of the number of protons,indicating that the prototype algorithm is feasible for proton beam range verification.

Objective:To investigate the early clinical efficacy of arthroscopic suture half-tie combined with Versalok anchor fixation in the treatment of avulsion fracture of the tibial insertion of anterior cruciate ligament (ACL) in adults.Methods:A retrospective study was conducted to analyze the clinical data of the 26 adult patients with avulsion fracture of the ACL tibial insertion who had been treated by arthroscopic suture half-tie combined with Versalok anchor fixation between June 2020 and December 2022 at Sports Medicine Center, Honghui Hospital, Xi'an Jiaotong University. This cohort consisted of 12 males and 14 females with an age of (26.6±7.5) years. According to the Meyers-McKeever classification, there were 9 cases of type Ⅱ, 12 cases of type Ⅲ, and 3 cases of type Ⅳ. The time from injury to surgery was (9.3±6.8) days. Follow-up evaluations were conducted at postoperative 3 days, 3 months, and 12 months, including imaging assessments for fracture healing, clinical examinations of knee flexion and extension, anterior drawer and Lachman tests to assess the ACL tension. At the last follow-up, KT-2000 test was performed to quantify ACL laxity, and visual analogue scale (VAS) and Lysholm knee score were used to assess postoperative pain and functional recovery.Results:Primary wound healing was achieved in all the 26 patients. One patient required ACL reconstruction due to laxity and mild extension limitation at postoperative 6 months. The other 25 patients were followed for (15.4±3.2) months. At postoperative 12 months, X-rays showed good bone healing at the fracture site of the tibial intercondylar eminence, and both the Lachman and anterior drawer tests were negative. At postoperative 3 months and the last follow-up, the active knee extension and flexion were 128.8° (121.2°, 138.3°) and 52.7° (38.2°, 63.2°), respectively, significantly better than the preoperative value [52.7° (38.2°, 63.2°)] ( P<0.05), and the KT-2000 test showed that the disparity between the affected and healthy sides were 2.5 (1.2, 4.2) mm and 1.2 (0.8, 3.4) mm, respectively, significantly smaller than the preoperative value [7.1 (5.2, 11.2) mm] ( P<0.05). At postoperative 3 and 12 months, the VAS pain scores were significantly decreased and the knee Lysholm scores were significantly improved compared with the preoperative values ( P<0.05). Conclusion:In the treatment of avulsion fracture of the ACL tibial insertion in adults, arthroscopic suture half-tie combined with Versalok anchor fixation is a minimally invasive, reliable, and straightforward technique, leading to excellent early clinical outcomes.

Objective:To summarize the experience of designing hair transplantation for post-cleft lip repair moustache defects based on the morphological and tissue characteristics of the upper lip.Methods:A retrospective analysis was conducted on the clinical data of male patients treated at the Hair Transplantation Center of Plastic Surgery Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College from January 2011 to July 2024. Based on the morphology and tissue texture of the upper lip after cleft lip repair, the position and shape of the moustache were designed. Hair follicles were harvested from the mid-occipital region and/or the jaw shadow area using either the strip harvesting method or the follicular unit excision (FUE) technique. Needles of 21 or 22 gauge were used to create incisions in the recipient sites down to the superficial subcutaneous layer. The hair shafts were clamped with micro-forceps and then transplanted into the recipient sites to restore the moustache shape. Postoperatively, the density, shape, direction of the moustache, and the condition of the donor site scars were observed and followed up.Results:A total of 47 male patients, aged 23-43 years (mean 28.7 years), were included. Among them, 29 had undergone lower triangular flap repair, 13 received the Millard technique, and 5 were treated with other surgical methods for cleft lip repair. For hair follicle extraction, the strip method was used in 7 cases, and FUE in 40 cases. The donor sites included the jaw shadow area (9 cases), mid-occipital region (23 cases), and a combination of both (15 cases). The number of transplanted follicular units ranged from 33 to 500 (mean 217). Follow-up duration ranged from 9 months to 10 years (mean 3.5 years). Postoperative complications included folliculitis in 6 cases, and 4 cases required additional transplantation due to insufficient density after one year. The remaining patients exhibited satisfactory hair growth, with natural mustache shape and direction. The graft survival rate was approximately 80%, and donor site scarring was minimal.Conclusion:When performing hair transplantation to treat post-cleft lip repair moustache defects, the design should prioritize the morphological and tissue characteristics of the upper lip, followed by consideration of overall position and bilateral symmetry of the moustache. Only by fully considering the characteristics of the recipient area can optimally repair outcomes be achieved.

Objective:To construct a frailty prediction model for elderly diabetic inpatients based on machine learning algorithms and evaluate the predictive performance of the model, providing a basis for the early identification and prevention of frailty in elderly diabetic patients.Methods:A convenience sampling method was used to select 380 elderly diabetic inpatients from the Endocrinology Department and Geriatrics Department of two ClassⅢ Grade A hospitals in Jingzhou, admitted from March to October 2023. Binary Logistic regression analysis was used to identify the factors influencing frailty in elderly diabetic patients. The prediction models, including random forest, support vector machine, and K-nearest neighbors algorithms, were constructed using Python 3.8.2 and sklearn library functions. The accuracy, precision, recall, F1 score, and area under the receiver operating characteristic curve ( AUC) for each model were evaluated. Results:Factors such as comorbidity, polypharmacy, self-management ability of diabetes, nutritional status, 25-hydroxyvitamin D 3, duration of diabetes, and activities of daily living were identified as risk factors for frailty in elderly diabetic patients ( P<0.05). The AUC for the random forest, support vector machine, and K-nearest neighbors prediction models were 0.85, 0.83, and 0.79, respectively. Conclusions:The constructed random forest model is the optimal model, capable of effectively predicting the risk of frailty in elderly diabetic inpatients, which is beneficial for healthcare professionals to early screen high-risk populations for frailty.

Objective:To summarize the best available evidence for exercise interventions in patients with systemic lupus erythematosus (SLE) .Methods:The PIPOST model from the Joanna Briggs Institute (JBI) Centre for Evidence-Based Healthcare in Australia was used to construct the evidence-based nursing question. A top-down approach based on the "6S" evidence pyramid model was employed to search for relevant evidence, including clinical guidelines, consensus statements, systematic reviews, best practices, and evidence summaries. The search was conducted across BMJ Best Practice, UpToDate, guideline repositories, professional association websites, and Chinese and international databases. Eligible literature was screened for quality assessment, and high-quality evidence was extracted. The search timeframe covered publications from database inception to June 15, 2024.Results:A total of 15 studies were included, comprising 1 clinical decision-making article, 3 guidelines, 6 systematic reviews, and 5 randomized controlled trials. A total of 25 evidence statements were synthesized across 6 key aspects: exercise principles, exercise assessment, exercise modalities, exercise intensity, exercise frequency and duration, and exercise monitoring.Conclusions:The best evidence summarized in this study provides a valuable reference for clinical healthcare professionals implementing exercise interventions for patients with systemic lupus erythematosus.

Objective:To construct a frailty prediction model for elderly diabetic inpatients based on machine learning algorithms and evaluate the predictive performance of the model, providing a basis for the early identification and prevention of frailty in elderly diabetic patients.Methods:A convenience sampling method was used to select 380 elderly diabetic inpatients from the Endocrinology Department and Geriatrics Department of two ClassⅢ Grade A hospitals in Jingzhou, admitted from March to October 2023. Binary Logistic regression analysis was used to identify the factors influencing frailty in elderly diabetic patients. The prediction models, including random forest, support vector machine, and K-nearest neighbors algorithms, were constructed using Python 3.8.2 and sklearn library functions. The accuracy, precision, recall, F1 score, and area under the receiver operating characteristic curve ( AUC) for each model were evaluated. Results:Factors such as comorbidity, polypharmacy, self-management ability of diabetes, nutritional status, 25-hydroxyvitamin D 3, duration of diabetes, and activities of daily living were identified as risk factors for frailty in elderly diabetic patients ( P<0.05). The AUC for the random forest, support vector machine, and K-nearest neighbors prediction models were 0.85, 0.83, and 0.79, respectively. Conclusions:The constructed random forest model is the optimal model, capable of effectively predicting the risk of frailty in elderly diabetic inpatients, which is beneficial for healthcare professionals to early screen high-risk populations for frailty.

Objective:To summarize the best available evidence for exercise interventions in patients with systemic lupus erythematosus (SLE) .Methods:The PIPOST model from the Joanna Briggs Institute (JBI) Centre for Evidence-Based Healthcare in Australia was used to construct the evidence-based nursing question. A top-down approach based on the "6S" evidence pyramid model was employed to search for relevant evidence, including clinical guidelines, consensus statements, systematic reviews, best practices, and evidence summaries. The search was conducted across BMJ Best Practice, UpToDate, guideline repositories, professional association websites, and Chinese and international databases. Eligible literature was screened for quality assessment, and high-quality evidence was extracted. The search timeframe covered publications from database inception to June 15, 2024.Results:A total of 15 studies were included, comprising 1 clinical decision-making article, 3 guidelines, 6 systematic reviews, and 5 randomized controlled trials. A total of 25 evidence statements were synthesized across 6 key aspects: exercise principles, exercise assessment, exercise modalities, exercise intensity, exercise frequency and duration, and exercise monitoring.Conclusions:The best evidence summarized in this study provides a valuable reference for clinical healthcare professionals implementing exercise interventions for patients with systemic lupus erythematosus.

Objective:To investigate the early clinical efficacy of arthroscopic suture half-tie combined with Versalok anchor fixation in the treatment of avulsion fracture of the tibial insertion of anterior cruciate ligament (ACL) in adults.Methods:A retrospective study was conducted to analyze the clinical data of the 26 adult patients with avulsion fracture of the ACL tibial insertion who had been treated by arthroscopic suture half-tie combined with Versalok anchor fixation between June 2020 and December 2022 at Sports Medicine Center, Honghui Hospital, Xi'an Jiaotong University. This cohort consisted of 12 males and 14 females with an age of (26.6±7.5) years. According to the Meyers-McKeever classification, there were 9 cases of type Ⅱ, 12 cases of type Ⅲ, and 3 cases of type Ⅳ. The time from injury to surgery was (9.3±6.8) days. Follow-up evaluations were conducted at postoperative 3 days, 3 months, and 12 months, including imaging assessments for fracture healing, clinical examinations of knee flexion and extension, anterior drawer and Lachman tests to assess the ACL tension. At the last follow-up, KT-2000 test was performed to quantify ACL laxity, and visual analogue scale (VAS) and Lysholm knee score were used to assess postoperative pain and functional recovery.Results:Primary wound healing was achieved in all the 26 patients. One patient required ACL reconstruction due to laxity and mild extension limitation at postoperative 6 months. The other 25 patients were followed for (15.4±3.2) months. At postoperative 12 months, X-rays showed good bone healing at the fracture site of the tibial intercondylar eminence, and both the Lachman and anterior drawer tests were negative. At postoperative 3 months and the last follow-up, the active knee extension and flexion were 128.8° (121.2°, 138.3°) and 52.7° (38.2°, 63.2°), respectively, significantly better than the preoperative value [52.7° (38.2°, 63.2°)] ( P<0.05), and the KT-2000 test showed that the disparity between the affected and healthy sides were 2.5 (1.2, 4.2) mm and 1.2 (0.8, 3.4) mm, respectively, significantly smaller than the preoperative value [7.1 (5.2, 11.2) mm] ( P<0.05). At postoperative 3 and 12 months, the VAS pain scores were significantly decreased and the knee Lysholm scores were significantly improved compared with the preoperative values ( P<0.05). Conclusion:In the treatment of avulsion fracture of the ACL tibial insertion in adults, arthroscopic suture half-tie combined with Versalok anchor fixation is a minimally invasive, reliable, and straightforward technique, leading to excellent early clinical outcomes.

In proton therapy,prompt gamma-ray imaging is considered as one of the most promising methods for assessing proton beam range.Prompt gamma-ray imaging detector evaluates the proton beam range based on the prompt gamma-ray distribution obtained by the prompt gamma-ray imaging system,which enables high-precision measurement of the proton beam range.Herein a proton beam range verification algorithm is designed for the newly developed prototype of the range verification detector(pixelated prompt gamma-ray imaging detector),which verifies the range estimation accuracy of the prototype for different phantoms and different energies of homogeneous media through Monte Carlo simulation.The results show that the accuracy of the proton beam range verification algorithm is within 0.5 mm of the safety margin error of the Bragg peak,and the measurement accuracy is significantly improved with the increase of the number of protons,indicating that the prototype algorithm is feasible for proton beam range verification.