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Correlation between autoimmune thyroid disease and vitiligo: An analytical study. 自身免疫性甲状腺疾病与白癜风的相关性分析研究
IF 1.9 Pub Date : 2025-10-31 eCollection Date: 2025-01-01 DOI: 10.6026/973206300213800
Sahitya Bandari, Mohammed Zakiullah Shareef, E Emi Goldy, Naresh Vishwanath Iyer Murali, R Keerthi Vardhini, Shanmukha Koppolu

The association between autoimmune thyroid disease (AITD) and vitiligo in adults is of interest. Anti TPO and anti TG antibody levels were measured in vitiligo patients and matched controls. Vitiligo subjects had significantly higher thyroid autoantibody prevalence than controls. Thus, we show routine thyroid screening in vitiligo. Further longitudinal studies are warranted.

自身免疫性甲状腺疾病(AITD)与成人白癜风之间的关系引起了人们的兴趣。测定白癜风患者和匹配对照组的抗TPO和抗TG抗体水平。白癜风患者的甲状腺自身抗体患病率明显高于对照组。因此,我们对白癜风患者进行常规甲状腺筛查。进一步的纵向研究是必要的。
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引用次数: 0
Evaluation of hard and soft tissue changes around dental implants with osseodentification in contrast with conventional osteotomy technique: An in vivo study. 与传统截骨技术相比,骨鉴定评估种植体周围硬软组织的变化:一项体内研究。
IF 1.9 Pub Date : 2025-10-31 eCollection Date: 2025-01-01 DOI: 10.6026/973206300213640
Amit Siwach, Anil Sharma, Ramesh Kumar, Omar Mukhtar, Shruti Singh, Krati Singh

The effects of osseodensification and conventional osteotomy techniques on dental implants is of interest. The in vivo research focused on hard and soft tissue changes around dental implants placed in partially edentulous patients. Data shows that osseodensification improved probing depth, bleeding index and bone density, with significant differences observed at 3 and 6 months. Thus, we show that osseodensification enhances both soft tissue health and bone preservation, supporting its use in cases with compromised bone quality. Future research is needed to explore long-term outcomes and optimize protocols.

骨致密化和常规截骨技术对牙种植体的影响令人感兴趣。体内研究主要集中在局部无牙患者种植体周围软组织和硬组织的变化。数据显示,骨密度增加可改善探探深度、出血指数和骨密度,在3个月和6个月时观察到显著差异。因此,我们表明,骨密度增强软组织健康和骨保存,支持其使用与骨质量受损的情况下。未来的研究需要探索长期结果和优化方案。
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引用次数: 0
Clinical and tomographical evaluation of periodontal phenotype among undergraduate dental students in India. 临床和断层扫描评估牙周表型在印度的本科牙科学生。
IF 1.9 Pub Date : 2025-10-31 eCollection Date: 2025-01-01 DOI: 10.6026/973206300213536
Kavita Lohiya, Hiroj Bagde, Meenakshi Boddun, Aishwarya Duble, Neha Sahu, Sonal Kumbare

Periodontal biotypes in 53 healthy dental students were evaluated using cone-beam computed tomography (CBCT). Gingival thickness (GT), bone thickness (BT) and width of keratinized tissue (WKT) were measured in the upper and lower anterior teeth. The thick scalloped biotype was most prevalent (60%), followed by the thin scalloped (30%) and thick flat scalloped (10%) types. Bone thickness was consistently greater than gingival thickness, with the thick-flat biotype showing the highest WKT. Thus, the mean biological width was 2.02 mm, indicating predominantly thick biotypes with thinner overlying gingiva.

采用锥形束计算机断层扫描(CBCT)对53名健康牙科学生的牙周生物型进行了评价。测量上、下前牙牙龈厚度(GT)、骨厚度(BT)和角化组织宽度(WKT)。厚扇贝型最常见(60%),其次是薄扇贝型(30%)和厚扁平扇贝型(10%)。骨厚度始终大于牙龈厚度,厚平型WKT最高。因此,平均生物宽度为2.02 mm,表明生物型以厚型为主,上覆牙龈较薄。
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引用次数: 0
AI-assisted diagnosis of anemia through peripheral smear image analysis: A cross-validation study. 通过外周涂片图像分析人工智能辅助诊断贫血:一项交叉验证研究。
IF 1.9 Pub Date : 2025-10-31 eCollection Date: 2025-01-01 DOI: 10.6026/973206300213668
Ashita Nain, Sangeeta Gupta, Sylvester Noeldoss Lazarus, Kawalinder Kaur Girgla, Parth Jani, Amrit Podder, Sreemoyee Dutta, Ravi Babu Surisetti

A deep semi-supervised learning model for automating anemia detection and classification from peripheral blood smear images is of interest. A convolutional neural network was trained on 3,200 images, with only 25% annotated by expert hematologists. The model achieved a classification accuracy of 93.4% and F1-scores above 90% for key anemia subtypes, demonstrating strong agreement with expert diagnoses (κ = 0.89). It significantly reduced diagnostic time and performed well in detecting microcytic and sickle cell anemia. This AI-based framework shows great potential for accurate anemia diagnosis, especially in resource-limited settings.

一种深度半监督学习模型用于从外周血涂片图像中自动检测和分类贫血。一个卷积神经网络在3200张图像上进行了训练,其中只有25%由血液学专家进行了注释。该模型对关键贫血亚型的分类准确率达到93.4%,f1评分高于90%,与专家诊断结果非常吻合(κ = 0.89)。它显著缩短了诊断时间,在检测小细胞和镰状细胞性贫血方面表现良好。这种基于人工智能的框架显示出准确诊断贫血的巨大潜力,特别是在资源有限的情况下。
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引用次数: 0
Impact of training on waste management practices among healthcare workers. 对保健工作者进行废物管理做法培训的影响。
IF 1.9 Pub Date : 2025-10-31 eCollection Date: 2025-01-01 DOI: 10.6026/973206300213766
Mayank Das, Sanchit Pradhan, Jyoti Adwani, Avnica Agarwal, Arunendra Singh Chauhan, Omveer Singh

mproper biomedical waste management poses a major risk to infection control and public health. This quasi-experimental study among 100 healthcare workers from two institutes in Meerut assessed the effectiveness of training on waste management and infection control. Group A received structured lectures, while Group B received educational materials, with assessments at 1, 3 and 6 months. Significant improvements were observed in knowledge, attitude and practice scores over time (p<0.05). The training program effectively enhanced awareness and practices of healthcare workers toward infection control and waste management.

不适当的生物医学废物管理对感染控制和公共卫生构成重大风险。这项准实验性研究对来自密鲁特两个研究所的100名卫生保健工作者进行了评估,评估了废物管理和感染控制培训的有效性。A组接受结构化讲座,B组接受教材,分别在1、3、6个月进行评估。随着时间的推移,在知识、态度和练习得分上观察到显著的改善(p
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引用次数: 0
A case of bony injury and osteomyelitis during the Covid-19 lockdown. 新冠肺炎封锁期间骨损伤和骨髓炎1例。
IF 1.9 Pub Date : 2025-10-31 eCollection Date: 2025-01-01 DOI: 10.6026/973206300213956
Sobiya Farook, Alina Sanda Gilligan

Social isolation has been linked with psychological and cognitive decline and this has become more pertinent during the Covid19 pandemic. Here we report a case of self-inflicted tibial bony defect with associated osteomyelitis due to leg ulcers, self-neglect, and lack of support during self-isolation relating to Covid-19 restrictions. The soft tissue and bony defect created was extensive and it is likely caused by a support stocking acting as a tourniquet over a long time. The patient developed osteomyelitis and septicaemia and was treated with IV antibiotics. She was found to have mild cognitive impairment and was referred to community memory services. Thus, successive lockdowns with subsequent self-elected isolation have serious consequences for physical and mental well-being.

社会孤立与心理和认知能力下降有关,在2019冠状病毒病大流行期间,这一点变得更加重要。在这里,我们报告了一例由于腿部溃疡、自我忽视和在与Covid-19限制相关的自我隔离期间缺乏支持而导致的自我造成的胫骨骨缺损伴骨髓炎的病例。造成的软组织和骨缺损是广泛的,很可能是由于长时间的支撑袜作为止血带造成的。患者出现骨髓炎和败血症,并给予静脉注射抗生素治疗。她被发现有轻度认知障碍,并被转介到社区记忆服务机构。因此,连续的封锁和随后的自我选择隔离会对身心健康造成严重后果。
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引用次数: 0
A comparative analysis of peri-implant sulcular microflora in delayed versus immediately placed dental implants. 延迟和立即放置牙种植体的种植体周围沟状菌群的比较分析。
IF 1.9 Pub Date : 2025-10-31 eCollection Date: 2025-01-01 DOI: 10.6026/973206300213720
Nikunj Harikrushn Prajapati, Malav Sunilbhai Sheth, Abhishek Singh Payak, Arun Mohan, Ankita Sahal, Mimansha Patel

The timing of dental implant placement may influence early microbial colonization and long-term peri-implant health. This prospective cohort study compared sulcular microflora in immediate (n=30) versus delayed (n=30) single-tooth implants over 12 months using 16S rRNA sequencing. Immediate implants showed higher levels of commensal genera at 3 months, whereas delayed implants exhibited increased colonization by Porphyromonas gingivalis and Tannerella forsythia at 6 months (p<0.05). By 12 months, microbial differences diminished, with convergence of pathogenic species between groups. Delayed placement appears more prone to early dysbiosis, underscoring the need for rigorous plaque control and monitoring.

牙种植体放置的时间可能影响早期微生物定植和长期种植体周围的健康。这项前瞻性队列研究使用16S rRNA测序比较了即时(n=30)和延迟(n=30)单牙种植体在12个月内的沟状菌群。即刻种植在3个月时显示出较高水平的共生属,而延迟种植在6个月时显示出牙龈卟啉单胞菌和连翘Tannerella的定植增加(p
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引用次数: 0
In vitrostudy on the stability of mini-implants under simulated orthodontic loading conditions. 模拟正畸载荷条件下微型种植体稳定性的体外研究。
IF 1.9 Pub Date : 2025-10-31 eCollection Date: 2025-01-01 DOI: 10.6026/973206300213839
Kartikaya Verma, Divya Babuji Pandiyath, Ashok Panika, Shaina Goyal, Sovesh Das, Disha Pitroda

Orthodontic mini-implants provide essential skeletal anchorage but their clinical success varies due to differences in mechanical stability under functional loading. Therefore, it is of interest to compare the stability of three commercially available designs-dual- thread, single-thread and tapered-using synthetic bone blocks. Primary stability was assessed by insertion torque and resonance frequency analysis, followed by cyclic loading to evaluate secondary stability, displacement and failure rates. Dual-thread implants demonstrated superior performance with higher stability, lower displacement and fewer failures compared to the other designs. Thus, we show that implant design plays a critical role, with dual-thread configurations offering clear clinical advantages for anchorage-dependent orthodontic treatments.

正畸微型种植体提供必要的骨骼锚定,但其临床成功因功能负荷下机械稳定性的差异而有所不同。因此,比较三种商用设计——双螺纹、单螺纹和锥形合成骨块的稳定性是很有意义的。通过插入扭矩和共振频率分析评估初级稳定性,然后通过循环加载评估次级稳定性、位移和故障率。与其他设计相比,双螺纹植入物具有更高的稳定性、更低的位移和更少的故障。因此,我们发现种植体设计起着至关重要的作用,双螺纹配置为依赖支抗的正畸治疗提供了明显的临床优势。
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引用次数: 0
A comprehensive software solution for Steiner's cephalometric analysis: Integrating machine learning for enhanced accuracy. 一个全面的斯坦纳头测量分析软件解决方案:集成机器学习以提高准确性。
IF 1.9 Pub Date : 2025-10-31 eCollection Date: 2025-01-01 DOI: 10.6026/973206300213885
Vinay V Bedre, Sushil Mahajan, Trilok Shrivastav

Cephalometric analysis is one of the most essential tools in orthodontic diagnosis and treatment planning, with Steiner's analysis being a gold standard for evaluating skeletal and dental relationships. However, manual landmark identification is time-consuming and prone to variability. This study introduces a Python-based software tool that automates Steiner's analysis using Tkinter for GUI, Pillow for image processing, and machine learning (ML) for landmark refinement. The software improves efficiency while maintaining clinical reliability, demonstrating potential for AI-assisted orthodontic diagnostics. Machine learning component makes it fail safe, software can be corrected with mistakes retrained.

头颅测量分析是正畸诊断和治疗计划中最重要的工具之一,斯坦纳分析是评估骨骼和牙齿关系的金标准。然而,人工地标识别是费时且容易变化的。本研究介绍了一种基于python的软件工具,该工具使用Tkinter用于GUI, Pillow用于图像处理,机器学习(ML)用于里程碑式细化,使Steiner的分析自动化。该软件在保持临床可靠性的同时提高了效率,展示了人工智能辅助正畸诊断的潜力。机器学习组件使其故障安全,软件可以通过重新训练来纠正错误。
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引用次数: 0
Presentation patterns and management outcomes of uterine fibroids: A retrospective study. 子宫肌瘤的表现模式和治疗结果:一项回顾性研究。
IF 1.9 Pub Date : 2025-10-31 eCollection Date: 2025-01-01 DOI: 10.6026/973206300213986
Neha Kumari, Sadhana Singh, Kamlesh Tiwary

Uterine fibroids are common benign pelvic tumors in reproductive-age women, often presenting with heavy menstrual bleeding and pelvic pain. Therefore, it is of interest to analyze 60 patients undergoing myomectomy (66.7%) or hysterectomy (33.3%) between 2022 and 2024. Intramural fibroids (60.0%) with a mean size of 8.2 cm were the most frequent finding. Symptom resolution at 6 months was higher after hysterectomy (95.0%) compared to myomectomy (82.5%, p=0.048), while complication rates were similar. Surgical management provides effective relief, with hysterectomy offering a definitive cure and myomectomy serving as a fertility-preserving option.

子宫肌瘤是育龄妇女常见的盆腔良性肿瘤,常表现为大量月经出血和盆腔疼痛。因此,对2022年至2024年间进行子宫肌瘤切除术(66.7%)或子宫切除术(33.3%)的60例患者进行分析是有意义的。最常见的是膜内肌瘤(60.0%),平均大小为8.2 cm。子宫切除术后6个月症状缓解率(95.0%)高于子宫肌瘤切除术后(82.5%,p=0.048),并发症发生率相似。手术治疗提供了有效的缓解,子宫切除术提供了明确的治愈和子宫肌瘤切除术作为生育保留的选择。
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引用次数: 0
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