Background And Aims: This study aimed to establish soft tissue cephalometric standards in Iranian adults based on NHP, which can be used in diagnosis of orthodontic and orthognathic patients.
Materials And Methods: A group of 46 individuals (24 males and 22 females) with normal occlusion and proportional facial profile were chosen from a large group of dental students. For the all of the chosen sample, lateral cephalograms were obtained with head oriented in natural position. On the basis of the true horizontal and true vertical lines, the standard values of 19 soft tissue measurements were determined using McNamara, Burstone and Viazis methods.
Results: In this study, the mean value of SN deviation to true horizontal line was 6.6°. Comparison between two genders showed that females have more obtuse nasolabial angle and thinner soft tissue chin than males (P < 0.05). Linear measurements showed that the overall size of males was more than females (P < 0.05).
Conclusion: Cephalometric norms based on NHP were found to be more reliable in orthognathic pa-tients.
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http://dx.doi.org/10.5681/joddd.2008.011 | DOI Listing |
Knee
January 2025
Department of Plastic Surgery, University of Pittsburgh Medical Center, 3550 Terrace Street 6B Scaife Hall, Pittsburgh, PA 15261, USA.
Chin Med J (Engl)
January 2025
Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing 100730, China.
Background: Fibrosis of the connective tissue in the vaginal wall predominates in pelvic organ prolapse (POP), which is characterized by excessive fibroblast-to-myofibroblast differentiation and abnormal deposition of the extracellular matrix (ECM). Our study aimed to investigate the effect of ECM stiffness on vaginal fibroblasts and to explore the role of methyltransferase 3 (METTL3) in the development of POP.
Methods: Polyacrylamide hydrogels were applied to create an ECM microenvironment with variable stiffness to evaluate the effects of ECM stiffness on the proliferation, differentiation, and expression of ECM components in vaginal fibroblasts.
J Med Case Rep
January 2025
Bone and Joint Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Background: Management of the extensive soft tissue injuries remains a significant challenge in orthopedic and plastic reconstructive surgery. Since the thumb is responsible for 40% of the functions of the hand, saving and reconstructing a mangled thumb is essential for the patient's future.
Case Presentation: This case report describes the management of a severe occupational thumb injury in a 25-year-old white Persian male who sustained an occupational injury to his left thumb, resulting in extensive burn, crush injury to the distal and proximal phalanx, and severe soft tissue damage to the first metacarpal, thenar, and palmar areas.
BMC Genomics
January 2025
College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Background: Rex rabbit is famous for its silky and soft fur coat, a characteristic predominantly attributed to its hair follicles. Numerous studies have confirmed the crucial roles of mRNAs and non-coding RNAs (ncRNAs) in regulating key cellular processes such as cell proliferation, differentiation, apoptosis and immunity. However, their involvement in the regulation of the hair cycle in Rex rabbits remains unknown.
View Article and Find Full Text PDFNPJ Digit Med
January 2025
Neurofibromatosis Type 1 Center and Laboratory for Neurofibromatosis Type 1 Research, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
Deep-learning models have shown promise in differentiating between benign and malignant lesions. Previous studies have primarily focused on specific anatomical regions, overlooking tumors occurring throughout the body with highly heterogeneous whole-body backgrounds. Using neurofibromatosis type 1 (NF1) as an example, this study developed highly accurate MRI-based deep-learning models for the early automated screening of malignant peripheral nerve sheath tumors (MPNSTs) against complex whole-body background.
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