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Predictive role of the prognostic nutritional index for long-term prognosis among patients undergoing pancreatoduodenectomy: a meta-analysis.
BMC Surg
January 2025
Division of Pancreatic Surgery, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Purpose: To identify the predictive role of the preoperative prognostic nutritional index (PNI) for long-term survival in patients undergoing pancreatoduodenectomy.
Methods: The PubMed, EMBASE, Web of Science, Cochrane Library and CNKI databases were searched up to October 28, 2024. The primary outcomes included overall survival (OS) and disease-free survival (DFS).
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).
A radiopathomics model for predicting large-number cervical lymph node metastasis in clinical N0 papillary thyroid carcinoma.
Eur Radiol
January 2025
Department of Ultrasound, Chengdu Second People's Hospital, Chengdu, China.
Objectives: This study aimed to develop a multimodal radiopathomics model utilising preoperative ultrasound (US) and fine-needle aspiration cytology (FNAC) to predict large-number cervical lymph node metastasis (CLNM) in patients with clinically lymph node-negative (cN0) papillary thyroid carcinoma (PTC).
Materials And Methods: This multicentre retrospective study included patients with PTC between October 2017 and June 2024 across seven institutions. Patients were categorised based on the presence or absence of large-number CLNM in training, validation, and external testing cohorts.
SMILE for correction of myopia in patients during the incipient phase of presbyopia.
Int Ophthalmol
January 2025
Department of Ophthalmology, Peking University Third Hospital, No 49 Huayuan North Road, Haidian District, Beijing, 100191, China.
Purpose: To evaluate clinical outcomes and visual quality 12 months after small incision lenticule extraction (SMILE) for correction of myopia with or without astigmatism in patients during the incipient phase of presbyopia.
Setting: Peking University Third Hospital, Beijing, China.
Design: Retrospective observation study.
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