№ files_lp_3_process_7_070753
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A retrospective clinical study analyzing preoperative psoas muscle thickness to height ratio (PMTH) as a predictor of survival outcomes in patients undergoing surgical resection for biliary tract cancer.
Year:
2010–2022
Region / City:
Hyogo, Japan
Subject:
Biliary Tract Cancer, Sarcopenia, Surgical Outcomes
Document Type:
Clinical Study
Institution:
Meiwa Hospital, Department of Surgery
Authors:
Shinichi Ikuta, Tsukasa Aihara, Takayoshi Nakajima, Meidai Kasai, Naoki Yamanaka
Target Audience:
Oncologists, Surgeons, Clinical Researchers
Patient Cohort:
211 patients undergoing BTC resection
Primary Tumor Sites:
Intrahepatic bile duct, Extrahepatic bile duct, Gallbladder, Ampulla of Vater
Follow-up Method:
Disease-specific survival (DSS), Relapse-free survival (RFS)
Ethics Approval:
Institutional Ethics Committee of Meiwa Hospital, approval No. 2022-36
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Authors:
Romero-Garcia, R.; Warrier, V.; Bullmore, E.T.; Baron-Cohen, S.; Bethlehem, R.A.I.
Type of document:
Supplementary scientific note
Field:
Neuroimaging and transcriptomics
Research focus:
Cortical thickness differences in autism and ADHD
Data sources:
ABIDE; ADHD-200; Allen Institute for Brain Science gene expression dataset
Study population:
Male children aged 8–12 years
Discovery sample size:
218 subjects
Validation datasets:
ABIDE II (Georgetown University; Kennedy Krieger Institute)
Gene expression source:
Post-mortem adult human brain samples (n=6 donors)
Methods:
Structural MRI (T1-weighted MPRAGE); Freesurfer v5.3 processing; Partial Least Squares Regression; pathway and enrichment analyses
Brain parcellation:
308 cortical regions based on Desikan-Killiany atlas
Comparative groups:
Autism; ADHD; neurotypical controls
Statistical procedures:
Cross-validation; regression analyses; batch correction using ComBat
Associated analyses:
KEGG pathway analysis; gene co-expression modules; rare and common genetic variant enrichment
References included:
Yes
Author:
Sagar Uttamrao Bankar
Co-Author:
Dr. Chetan Choudhary
Department:
Mechanical Department
Institution:
Sandip University, School of Engineering & Technology
Location:
Nashik, India
Document Type:
Academic Research Paper
Subject:
Pressure Vessel Design and Structural Analysis
Keywords:
Pressure vessel design & analysis, CATIA V5 R24, ANSYS Workbench, Welding
Standards Referenced:
ASME Section VIII Division 2
Reference Manual:
Pressure Vessel Design Manual, Third Edition, Dennis Moss
Software Used:
ANSYS Workbench, CATIA V5 R24
Analysis Type:
Finite Element Analysis (Static, Thermal, Dynamic)
Focus:
Effect of Shell Thickness and Nozzle Configuration on Stress Distribution
Application Field:
Mechanical Engineering, Chemical and Food Industry Equipment
Year:
2010-2024
Region / city:
Asia-Pacific
Subject:
Hepatology
Document Type:
Clinical Practice Guidelines
Organization / Institution:
Asian Pacific Association for the Study of the Liver (APASL)
Author:
APASL
Target Audience:
Healthcare professionals
Period of validity:
2010-2024
Date of approval:
2010
Date of revisions:
2024
Context:
Collection of clinical practice guidelines and consensus statements issued by the Asian Pacific Association for the Study of the Liver on various hepatological conditions, including hepatocellular carcinoma, hepatitis B and C, liver transplantation, and metabolic diseases.
Year:
2023
Region / city:
Australia
Subject:
Pharmaceutical treatment for primary biliary cholangitis
Document type:
Authority submission for PBS listing
Organization:
Emerge Health Pty Ltd
Author:
Emerge Health Pty Ltd
Target audience:
Healthcare professionals, gastroenterologists, hepatologists, prescribers
Period of validity:
Ongoing
Approval date:
Not specified
Date of changes:
Not specified
Year:
2021
Region / city:
Manchester, United Kingdom
Topic:
Liquid biopsy in biliary tract cancer
Document type:
Review article
Organization / institution:
The Christie NHS Foundation Trust, University of Manchester
Authors:
Shotton R, Lamarca A, Valle J, McNamara MG
Target audience:
Researchers, medical professionals
Period of action:
Not specified
Date of approval:
August 11, 2021
Date of revisions:
June 14, 2021
Date of publication:
2021
Keywords:
Biliary tract cancer, Liquid biopsy, Circulating tumour DNA, Cell free DNA, Circulating tumour cells, Biomarkers
Clinical trials:
Currently recruiting trials involving liquid biopsy in biliary tract cancer
Abstract:
This article reviews the potential role of liquid biopsies in diagnosing, predicting, and monitoring biliary tract cancers, including circulating tumour DNA, microRNA, and tumour cells, along with current clinical trials.
Year:
2026
Region / City:
N/A
Subject:
Medical Imaging, Biliary Obstruction
Document Type:
Research Article
Institution:
N/A
Author:
Zhou Z, Wu HY
Target Audience:
Medical Professionals
Period of Validity:
N/A
Date of Approval:
N/A
Date of Amendments:
N/A
Year:
2023
Region / City:
Munich, Germany; Gliwice, Poland; Göttingen, Germany
Subject:
Acute pancreatitis, Biliary pancreatitis, Microlithiasis, Sludge, Machine learning
Document type:
Research article
Organization / Institution:
LMU University Hospital, Maria Sklodowska-Curie National Research Institute of Oncology, University Medical Center Göttingen
Author:
Simon Sirtl, Michal Żorniak, Eric Hohmann, Georg Beyer, Miriam Dibos, Annika Wandel, Veit Phillip, Christoph Ammer-Herrmenau, Albrecht Neesse, Christian Schulz, Jörg Schirra, Julia Mayerle, Ujjwal Mukund Mahajan
Target audience:
Medical researchers, healthcare professionals, gastroenterologists
Period of validity:
2015–2020
Approval date:
August 28, 2023
Date of changes:
N/A
Corresponding author:
Julia Mayerle
Supported by:
Deutsche Forschungsgemeinschaft (German Research Foundation), United European Gastroenterology Research Fellowship
Keywords:
Machine learning, Endosonography, Acute pancreatitis, Microlithiasis, Sludge
DOI:
https://dx.doi.org/10.3748/wjg.v29.i35.5138
Context description:
A retrospective study on the development of a machine learning-based model to predict biliary sludge and microlithiasis in patients with idiopathic acute pancreatitis, supporting decision-making for endosonography.