Results 151 to 160 of about 66,589 (267)

The Anatomical Landscape of Living Donor Livers: A 101-Case Retrospective Single-Center Study in Indonesia From 2010 to 2025. [PDF]

open access: yesAnn Transplant
Lalisang ANL   +9 more
europepmc   +1 more source

Anticancer potential of berberine: Molecular pathways and current clinical trial perspectives

open access: yesJSFA reports, EarlyView.
Abstract Cancer is constantly rising mortality rates due to its late prognosis, poor management, and expensive treatment. Multi‐sectoral approaches for cancer management include hygienic practices, synthetic drug exploitation, radiation therapy, and diet modifications.
Muhammad Maaz   +10 more
wiley   +1 more source

Outcomes Following Total Pancreatectomy With and Without Vascular Resection: A NSQIP Analysis Comparing Trends in Patient Selection and Outcomes Over 5 Years

open access: yesJournal of Surgical Oncology, EarlyView.
ABSTRACT Introduction Advances in neoadjuvant therapy and surgical techniques have led to more total pancreatectomies (TP) with vascular resection for pancreatic cancer. This study assesses contemporary outcomes of TP with venous (VR) and arterial (AR) resections compared to non‐vascular resection (NVR).
Zofia Czarnecka   +3 more
wiley   +1 more source

Laparoscopic cholecystectomy for double gallbladder malformation with cystic duct variation: a case report. [PDF]

open access: yesFront Surg
Yang S   +9 more
europepmc   +1 more source

Heterogeneity Analyzed by CT‐Based Habitat Analysis for Clinical Management of Cancers: A Narrative Review

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Tumors are highly heterogeneous, and whole‐lesion radiomics analysis is a popular method for extracting texture features that reflect this heterogeneity, which can be used to build models for cancer diagnosis, staging, therapy response evaluation, and prognosis prediction.
Yang Zhang   +2 more
wiley   +1 more source

Pretreatment Prediction of Tumor Recurrence in Breast Cancer After Neoadjuvant Systemic Therapy Using Machine Learning With Clinical and CT Radiomics Features

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT This study aimed to develop machine learning models for predicting tumor recurrence in breast cancer before neoadjuvant systemic therapy (NST) by integrating clinical and radiomic features derived from pretreatment computed tomography (CT).
Huei‐Yi Tsai   +6 more
wiley   +1 more source

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