Ossifying fibromyxoid tumor is an uncommon neoplasm with uncertain histogenesis. This tumor is usually characterized by a small, painless mass in the subcutaneous tissue or limb muscles. In this case, an ossifying fibromyxoid tumor of the mandible was reported, and relevant literature was reviewed.
Fibroma ; Fibroma, Ossifying ; Humans ; Mandible

Chondrosarcoma is extremely rare in maxillofacial soft tissue. A case diagnosed as well-differentiated chon- drosarcoma in the left parotid region was reported. The clinic pathological features, diagnosis, treatment, and prognosis were discussed with the literature review.
Bone Neoplasms ; Chondrosarcoma ; Humans ; Parotid Neoplasms ; Parotid Region

Tongue osteocartilaginous choristoma is the disease that there are well-developed bone and cartilage in the tongue. This article reported a case of tongue osteocartilaginous choristoma in the oral-cavity,which is rare.
Cartilage ; Choristoma ; Humans ; Tongue Diseases

Objective To investigate the effect of interferon-γ(IFN-γ) on the expression of indoleamine 2,3-dioxygenase(IDO),and tryptophanyl-tRNA-synthetase (TTS) in thyrocytes; and to study the relevant immunopathological significance in Graves' disease.Methods The expressions of IDO and TTS genes in IFN-γ stimulated Nthy-ori3-1 cell line and human thyrocytes,as well as in human thyroid tissues were determined by realtime quantitative PCR.Results IDO and TTS genes were expressed slightly in both Nthy-ori3-1 cell line and human thyrocytes,and were significantly up-regulated after IFN-γ stimulation(P＜0.01).Compared to healthy controls,TTS mRNA level was higher in thyroid tissues of patients with Graves' disease (P =0.018 2),while IDO mRNA level showed no difference,but was notably correlated with IFN-γ mRNA level (R2 =0.716,P =0.002).Conclusion In the early stage of Graves' disease,thyrocytes may decompose local tryptophan by enhancing the expression of IDO and TTS under IFN-γstimulation,thus inhibit auto-reactive function of lymphocytes and balance excessive autoimmune reaction.

Disorders of sex development (DSD) are a group of rare complex clinical syndromes with multiple etiologies. Distinguishing the various causes of DSD is quite difficult in clinical practice, even for senior general physicians because of the similar and atypical clinical manifestations of these conditions. In addition, DSD are difficult to diagnose because most primary doctors receive insufficient training for DSD. Delayed diagnoses and misdiagnoses are common for patients with DSD and lead to poor treatment and prognoses. On the basis of the principles and algorithms of dynamic uncertain causality graph (DUCG), a diagnosis model for DSD was jointly constructed by experts on DSD and engineers of artificial intelligence. "Chaining" inference algorithm and weighted logic operation mechanism were applied to guarantee the accuracy and efficiency of diagnostic reasoning under incomplete situations and uncertain information. Verification was performed using 153 selected clinical cases involving nine common DSD-related diseases and three causes other than DSD as the differential diagnosis. The model had an accuracy of 94.1%, which was significantly higher than that of interns and third-year residents. In conclusion, the DUCG model has broad application prospects as a computer-aided diagnostic tool for DSD-related diseases.