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Primary extraskeletal osteosarcoma of rectal mesentery: a rare case and literature review.
World J Surg Oncol
January 2025
The Department of General Surgery, The Second Hospital of Jilin University, Changchun, 130041, China.
Background: Extraskeletal osteosarcoma (ESOS) is a rare kind of sarcoma with a low preoperative diagnosis and a poor prognosis. ESOS arising from abdominal mesentery is extremely rare. Increasing diagnostic methods and standardizing treatment protocols are crucial issues of ESOS.
View Article and Find Full Text PDFThe effects of the positioning of a bolt in the femoral neck system on the short-term outcomes of middle-aged and young adults with displaced femoral neck fractures.
BMC Musculoskelet Disord
January 2025
Department of Orthopedics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, 215000, China.
Background: To analyze the effects of the positioning of a bolt in the femoral neck system (FNS) on the short-term outcomes of middle-aged and young adults with displaced femoral neck fractures (FNFs).
Methods: This was a retrospective study involving 114 middle-aged and young adults with displaced FNFs who were surgically treated with internal fixation via the FNS in the Department of Orthopedics, Suzhou Municipal Hospital, from December 2019 to January 2023. The degree of deviation of the central axis of the femoral head and neck from the tip of the bolt (W), the tip‒apex distance (TAD) and the length of femoral neck shortening (LFNS) were measured on postoperative X-ray and computed tomography (CT) scan images.
Comparison of NoSAS score with STOP-Bang and Berlin scores in predicting difficult airway.
BMC Anesthesiol
January 2025
Department of Anesthesiology and Reanimation, Faculty of Medicine, Suleyman Demirel University, Operating Room, Floor:1, Cunur, Isparta, 32260, Turkey.
Background: This study aimed to compare the effectiveness of the NoSAS, STOP-Bang, and Berlin scoring systems, which are utilized to predict obstructive sleep apnea syndrome (OSAS), in forecasting difficult airway management. Additionally, the study sought to determine which of these scoring systems is the most practical and effective for this purpose.
Methods: Following the ethics committee approval, preoperative NoSAS, STOP-Bang, and Berlin scores were calculated for 420 patients aged 18 years and older who were scheduled for tracheal intubation.
MRI-based deep learning radiomics to differentiate dual-phenotype hepatocellular carcinoma from HCC and intrahepatic cholangiocarcinoma: a multicenter study.
Insights Imaging
January 2025
Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Objectives: To develop and validate radiomics and deep learning models based on contrast-enhanced MRI (CE-MRI) for differentiating dual-phenotype hepatocellular carcinoma (DPHCC) from HCC and intrahepatic cholangiocarcinoma (ICC).
Methods: Our study consisted of 381 patients from four centers with 138 HCCs, 122 DPHCCs, and 121 ICCs (244 for training and 62 for internal tests, centers 1 and 2; 75 for external tests, centers 3 and 4). Radiomics, deep transfer learning (DTL), and fusion models based on CE-MRI were established for differential diagnosis, respectively, and their diagnostic performances were compared using the confusion matrix and area under the receiver operating characteristic (ROC) curve (AUC).
The value of MRI in differentiating ovarian clear cell carcinoma from other adnexal masses with O-RADS MRI scores of 4-5.
Insights Imaging
January 2025
Department of Radiology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Objective: To assess the utility of clinical and MRI features in distinguishing ovarian clear cell carcinoma (CCC) from adnexal masses with ovarian-adnexal reporting and data system (O-RADS) MRI scores of 4-5.
Methods: This retrospective study included 850 patients with indeterminate adnexal masses on ultrasound. Two radiologists evaluated all preoperative MRIs using the O-RADS MRI risk stratification system.
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