Results 221 to 230 of about 219,832 (311)
Lung Donation and Transplant Recipient Outcomes at Independent vs Hospital-Based Donor Care Units [PDF]
Emily A. Vail +10 more
openalex +1 more source
GLIM‐defined malnutrition probably worsens overall survival in patients with gastroenterological cancer after surgery. ABSTRACT Background In cancer patients, malnutrition worsens postoperative outcomes, with increased complications and poor prognosis.
Ryota Matsui +4 more
wiley +1 more source
Impact of Intraoperative Albumin Use During Lung Transplantation on Primary Graft Dysfunction. [PDF]
Tatsuoka Y +4 more
europepmc +1 more source
Multivariate analysis identified that up‐to‐7 out (p < 0.001), lymph node metastasis (p < 0.001), and non‐anatomical resection (p = 0.02) were independent predictors of cancer recurrence, while older age (p = 0.01), Child‐Pugh B (p < 0.001), up‐to‐7 out (p = 0.01), macrovascular invasion (p = 0.01), and lymph node metastasis (p < 0.001) were ...
Koichiro Haruki +9 more
wiley +1 more source
Prediction, incidence, and outcomes of massive transfusion during lung transplantation. [PDF]
Gao P +8 more
europepmc +1 more source
Outcomes of lung transplantation from SARS-CoV-2 positive donors during the Omicron wave
Sonya Kothadia +7 more
openalex +1 more source
ABSTRACT Aim To examine the significance of portal vein tumor thrombus (PVTT) as a prognostic factor for patients with pancreatic ductal adenocarcinoma (PDAC) treated with chemoradiotherapy (CRT) followed by surgery. Methods The study retrospectively examined 313 patients with borderline resectable (BR) or locally advanced (LA) PDAC who underwent CRT ...
Aoi Hayasaki +9 more
wiley +1 more source
Seeing is believing: Mouse orthotopic vascularized right lung transplantation
Jin Zhao +3 more
doaj +1 more source
Systemic Vascular Calcification After Lung Transplantation: The Role of Mammographic Breast Arterial Calcifications. [PDF]
Saenger JA +7 more
europepmc +1 more source
AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley +1 more source

