The WHO has classified malignant mixed tumours of salivary glands into noninvasive carcinoma in pleomorphic adenoma, invasive carcinoma in pleomorphic adenoma, carcino-sarcoma and metastasizing mixed tumour.~1 Carcino...The WHO has classified malignant mixed tumours of salivary glands into noninvasive carcinoma in pleomorphic adenoma, invasive carcinoma in pleomorphic adenoma, carcino-sarcoma and metastasizing mixed tumour.~1 Carcinosarcoma, or true malignant mixed tumour, is a tumour composed of both carcinomatous and sarcomatous elements. It is an exceedingly rare tumour of the salivary glands and only about 60 cases have been reported.~2 In this report we describe a case of carcinosarcoma of a parotid gland that contained an unusual mesenchymal component (follicular dendritic cell sarcoma, FDCS) in a 55-year-old man with cytological, histological and immunohistochemical findings. To our knowledge, this histological pattern has not been reported previously in the English literature.展开更多
Introduction:Machine learning (ML)‐based facial nerve injury (FNI) forecasting grounded on multicentric data has not been released up to now.Three distinct ML models,random forest (RF),K‐nearest neighbor,and artific...Introduction:Machine learning (ML)‐based facial nerve injury (FNI) forecasting grounded on multicentric data has not been released up to now.Three distinct ML models,random forest (RF),K‐nearest neighbor,and artificial neural network (ANN),for the prediction of FNI were evaluated in this mode.Methods:A retrospective,longitudinal,multicentric study was performed,including patients who went through parotid gland surgery for benign tumors at three different university hospitals.Results:Seven hundred and thirty‐six patients were included.The most compelling aspects related to risk escalation of FNI were as follows:(1) location,in the mid‐portion of the gland,near to or above the main trunk of the facial nerve and at the top part,over the frontal or the orbital branch of the facial nerve;(2) tumor volume in the anteroposterior axis;(3) the necessity to simultaneously dissect more than one level;and (4) the requirement of an extended resection compared to a lesser extended resection.By contrast,in accordance with the ML analysis,the size of the tumor (>3 cm),as well as gender and age did not result in a determining favor in relation to the risk of FNI.Discussion:The findings of this research conclude that ML models such as RF and ANN may serve evidence‐based predictions from multicentric data regarding the risk of FNI.Conclusion:Along with the advent of ML technology,an improvement of the information regarding the potential risks of FNI associated with patients before each procedure may be achieved with the implementation of clinical,radiological,histological,and/or cytological data.展开更多
文摘The WHO has classified malignant mixed tumours of salivary glands into noninvasive carcinoma in pleomorphic adenoma, invasive carcinoma in pleomorphic adenoma, carcino-sarcoma and metastasizing mixed tumour.~1 Carcinosarcoma, or true malignant mixed tumour, is a tumour composed of both carcinomatous and sarcomatous elements. It is an exceedingly rare tumour of the salivary glands and only about 60 cases have been reported.~2 In this report we describe a case of carcinosarcoma of a parotid gland that contained an unusual mesenchymal component (follicular dendritic cell sarcoma, FDCS) in a 55-year-old man with cytological, histological and immunohistochemical findings. To our knowledge, this histological pattern has not been reported previously in the English literature.
文摘Introduction:Machine learning (ML)‐based facial nerve injury (FNI) forecasting grounded on multicentric data has not been released up to now.Three distinct ML models,random forest (RF),K‐nearest neighbor,and artificial neural network (ANN),for the prediction of FNI were evaluated in this mode.Methods:A retrospective,longitudinal,multicentric study was performed,including patients who went through parotid gland surgery for benign tumors at three different university hospitals.Results:Seven hundred and thirty‐six patients were included.The most compelling aspects related to risk escalation of FNI were as follows:(1) location,in the mid‐portion of the gland,near to or above the main trunk of the facial nerve and at the top part,over the frontal or the orbital branch of the facial nerve;(2) tumor volume in the anteroposterior axis;(3) the necessity to simultaneously dissect more than one level;and (4) the requirement of an extended resection compared to a lesser extended resection.By contrast,in accordance with the ML analysis,the size of the tumor (>3 cm),as well as gender and age did not result in a determining favor in relation to the risk of FNI.Discussion:The findings of this research conclude that ML models such as RF and ANN may serve evidence‐based predictions from multicentric data regarding the risk of FNI.Conclusion:Along with the advent of ML technology,an improvement of the information regarding the potential risks of FNI associated with patients before each procedure may be achieved with the implementation of clinical,radiological,histological,and/or cytological data.
