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ASO Visual Abstract: Defining and Predicting Early Recurrence for Optimal Treatment Strategies in Intraductal Papillary Mucinous Neoplasm-Derived Pancreatic Cancer--An International Multicenter Study.
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Department of Surgery, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center and St. Antonius Hospital Nieuwegein, Utrecht, The Netherlands.
The incidence of and risk factors for axillary web syndrome with limited shoulder movement after surgery for breast cancer, and the effect of early physical therapy intervention.
Discov Oncol
January 2025
Department of Physical Medicine and Rehabilitation, Changhua Christian Hospital, 135 Nanxiao Street, Changhua, 50006, Taiwan.
Background: The aims of this cohort study were to identify (1) the incidence and risk factors for axillary web syndrome (AWS) with shoulder movement limitation within 4 weeks after axillary lymph node dissection (ALND) for Asian women with breast cancer (BC), and (2) whether early intervention with physical therapy (PT) could improve AWS, and how many PT sessions would be needed.
Methods: A cohort study of patients with BC receiving ALND was performed at Changhua Christian Hospital, Taiwan, between January 2019 and December 2020. Those patients who were diagnosed with AWS with shoulder movement limitation were referred to receive PT twice weekly at the Department of Physical Medicine and Rehabilitation.
Glycosylation gene expression profiles enable prognosis prediction for colorectal cancer.
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Department of Anus and Intestine Surgery, The Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang City, 550004, Guizhou Province, China.
This study developed a prognostic model for patients with colon adenocarcinoma (COAD) based on glycosylation-associated genes. By analyzing TCGA-COAD data, 110 key genes were identified, and a prognostic model incorporating five glycosylation-related genes was constructed. The model exhibits good predictive performance and is significantly associated with clinical features such as age, N stage, M stage, and lymph node count.
View Article and Find Full Text PDFPrediction of pulmonary embolism by an explainable machine learning approach in the real world.
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Department of Respiratory and Critical Care Medicine, Changhai Hospital, The Second Military Medical University, Shanghai, People's Republic of China.
In recent years, large amounts of researches showed that pulmonary embolism (PE) has become a common disease, and PE remains a clinical challenge because of its high mortality, high disability, high missed and high misdiagnosed rates. To address this, we employed an artificial intelligence-based machine learning algorithm (MLA) to construct a robust predictive model for PE. We retrospectively analyzed 1480 suspected PE patients hospitalized in West China Hospital of Sichuan University between May 2015 and April 2020.
View Article and Find Full Text PDFGastrointestinal lesions of eosinophilic granulomatosis with polyangiitis: a prediction model and clinical patterns.
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Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, the Ministry of Education Key Laboratory, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, China.
Objective: Severe gastrointestinal lesions are associated with a poor prognosis in eosinophilic granulomatosis with polyangiitis (EGPA). The goal of this study was to develop an effective predictive model for gastrointestinal lesions and to examine clinical patterns, associated factors, treatment, and outcomes of gastrointestinal lesions in EGPA.
Methods: We retrospectively enrolled 165 EGPA patients.
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