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1.
BMC Oral Health ; 22(1): 164, 2022 05 06.
Artigo em Inglês | MEDLINE | ID: mdl-35524204

RESUMO

BACKGROUND: This study aimed to develop and validate five machine learning models designed to predict actinomycotic osteomyelitis of the jaw. Furthermore, this study determined the relative importance of the predictive variables for actinomycotic osteomyelitis of the jaw, which are crucial for clinical decision-making. METHODS: A total of 222 patients with osteomyelitis of the jaw were analyzed, and Actinomyces were identified in 70 cases (31.5%). Logistic regression, random forest, support vector machine, artificial neural network, and extreme gradient boosting machine learning methods were used to train the models. The models were subsequently validated using testing datasets. These models were compared with each other and also with single predictors, such as age, using area under the receiver operating characteristic (ROC) curve (AUC). RESULTS: The AUC of the machine learning models ranged from 0.81 to 0.88. The performance of the machine learning models, such as random forest, support vector machine and extreme gradient boosting was significantly superior to that of single predictors. Presumed causes, antiresorptive agents, age, malignancy, hypertension, and rheumatoid arthritis were the six features that were identified as relevant predictors. CONCLUSIONS: This prediction model would improve the overall patient care by enhancing prognosis counseling and informing treatment decisions for high-risk groups of actinomycotic osteomyelitis of the jaw.


Assuntos
Aprendizado de Máquina , Osteomielite , Diagnóstico Precoce , Humanos , Modelos Logísticos , Osteomielite/diagnóstico , Curva ROC
2.
Maxillofac Plast Reconstr Surg ; 42(1): 38, 2020 Nov 23.
Artigo em Inglês | MEDLINE | ID: mdl-33296044

RESUMO

BACKGROUND: Lipomas are benign soft tissue neoplasms of mature adipose tissue commonly occurring in the trunk or extremities. But, intraoral lipomas are rare entities which may be only noticed during routine dental examinations. Especially intramuscular lipomas on the tongue have been reported very rarely. In this study, we report a case of intramuscular lipoma on tongue, with a review of the literature from 1978 to 2019, providing data on age, gender, location, presenting symptoms, size, surgical methods, and recurrence. CASE PRESENTATION: A case of intramuscular lipoma occurring in tongue region in a 65-year-old male is reported. Surgical excision is the mainstay of treatment for the lesion. In order to decrease the deformity and discomfort after the excision, we tried to modify surgical technique using enveloped mucosal flap. This technique provided more comfortable healing procedure on the operative site without recurrence. CONCLUSION: This is a rare case of large intramuscular lipoma on tongue. Surgical excision with enveloped mucosal flap design was performed to diminish postoperative raw surface and discomfort and a 24-month follow-up showed excellent healing without any recurrence. A case of intramuscular lipoma on tongue and relevant literature reviews are presented in this study.

3.
Micron ; 40(1): 114-7, 2009 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-18442915

RESUMO

Herein we demonstrate the epitaxial stabilization of single-crystalline (Gd(x)La(1-x))(2)O(3) films on n-GaAs (001) with a controlled lattice match. (Gd(x)La(1-x))(2)O(3) films have an in-plane epitaxial relationship with a twofold rotation on GaAs (001). Spectroscopic characterization by photoemission and absorption confirms that the band gap of (Gd(x)La(1-x))(2)O(3) film is approximately approximately 5.8eV. However, the conduction band offset is increased by the unpinned Fermi level of the n-GaAs in the (Gd(x)La(1-x))(2)O(3) film (x=0.97). The correlation of the crystalline property and the interfacial band offset by the electrical properties, as probed by capacitance and leakage current measurements, is also discussed.

4.
Mycobiology ; 33(1): 30-4, 2005 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-24049471

RESUMO

This study investigated the biochemical changes of abnormal fruiting bodies grown under artificial environmental conditions in P. ostreatus. Abnormal mushroom growth during cultivation damages the production of good quality mushroom. This study showed that different environmental conditions produced morphological changes in the fruiting bodies of P. ostreatus. The fruiting bodies with morphological changes were collected and examined for differences in biochemical properties, enzyme activities, and carbohydrates composition. The enzyme activities assay showed that glucanase and chitinase activities decreased when the temperature was below or above the optimum cultivation temperature for P. ostreatus. The biochemical compositions of the abnormal mushroom were significantly different from the normal fruiting bodies. It was suggested that the changes in the biochemical composition of abnormal mushroom were caused by the unfavorable environmental conditions during mushroom cultivation.

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