№ files_lp_3_process_9_45519
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International consensus dataset defining core and non-core elements for structured histopathology reporting of gastrointestinal stromal tumour resection specimens within oncological pathology practice.
Year: 2021
Organisation: International Collaboration on Cancer Reporting
Document type: Histopathology reporting guide
Subject: Gastrointestinal stromal tumour (GIST)
Scope: Pathology reporting of resection specimens for GIST
Exclusions: Metastatic GIST specimens
Edition: 1st edition
Applicable staging system: Pathological TNM staging
Evidence framework: NHMRC levels of evidence
Intended users: Pathologists reporting GIST resection specimens
Related publications: Gastrointestinal Stromal Tumour (GIST) Histopathology Reporting Guide – Biopsy Specimens; Soft Tissue Sarcoma Histopathology Reporting Guide – Resection Specimens
Price: 8 / 10 USD
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ICCR Soft Tissue Sarcoma Histopathology Reporting Guide – Biopsy Specimens, 1st edition v1.1
Year: 2021
Region / City: International
Topic: Soft tissue sarcoma histopathology
Document Type: Guide
Organization / Institution: International Collaboration on Cancer Reporting (ICCR)
Author: Not specified
Target Audience: Pathologists, oncologists, medical professionals
Effective Period: Ongoing
Approval Date: Not specified
Amendment Date: Not specified
Gastrointestinal Stromal Tumor (GIST) of the Stomach: Pathologic Examination and Procedure Details
Year: 2005
Region / City: Philadelphia, PA
Topic: Gastrointestinal Stromal Tumor (GIST), Pathology
Document Type: Medical Procedural Guide
Organization / Institution: Elsevier Saunders, Elsevier Churchill Livingstone
Author: Kumar V, Abbas A, Fausto N, Lester SC
Target Audience: Medical professionals, Pathologists
Period of Validity: Not specified
Approval Date: Not specified
Date of Changes: Not specified
Supplementary materialRisk Stratification System of Gastrointestinal Stromal Tumors under Endoscopic Ultrasound Elastography Based on Artificial Intelligence
Year: 2023
Region / city: Wuhan, China
Topic: Medical Imaging, Artificial Intelligence, Gastrointestinal Stromal Tumors
Document Type: Research Article
Organization / Institution: Renmin Hospital of Wuhan University
Authors: Chenxia Zhang, Wei Tan, Xun Li, Xiao Tao, Bing Xiao, Wei Zhou, Honggang Yu
Target Audience: Medical professionals, researchers in gastroenterology and artificial intelligence
Period of Application: Not specified
Date of Approval: Not specified
Date of Changes: Not specified
Keywords: Gastrointestinal Stromal Tumors, Endoscopic Ultrasound, Artificial Intelligence, Risk Stratification, Deep Learning
Methodology: Image Classification, Image Segmentation, Deep Convolutional Neural Network (DCNN), ResNet, Unet++
Evaluation Metrics: Accuracy, Intersection over Union (IoU), Precision, Recall, F1 score
Conclusion: The use of AI-based risk stratification and image analysis improves GIST diagnosis accuracy
References: Li J, Zhu Y, Dong Z, et al., Yao L, Zhang J, Liu J, et al., Zhou Z, Siddiquee MMR, Tajbakhsh N, Liang J
Temporal Phases of Wound Healing and Stromal Gene Signatures in the Ad-VEGF-A164 Mouse Model
Year: 2026
Region / city: Not specified
Subject: Angiogenesis, wound healing, tumor stroma
Document type: Supplemental scientific figures and tables
Institution / organization: Not specified
Author: Not specified
Model organism: Mouse
Experimental intervention: Ad-VEGF-A164 injection, anti-VEGFR2 (DC101) and anti-VEGF (G6) treatment
Sample size: 10 ears per treatment per time point (unless otherwise noted)
Data sources: The Cancer Genome Atlas (TCGA), Lei et al Singapore cohort, ACRG gastric cohort
Analysis methods: Differential gene expression, hypergeometric enrichment, heatmap clustering, RPPA protein profiling, Kaplan-Meier survival analysis
Gene signatures: Signature 1, Signature 2, Signature 3
Key measurements: mRNA expression of VE-Cadherin (CDH5), smooth muscle actin (Acta2), protein analytes
Time points: Day 5, Day 20, Day 60
Histological classification: Lauren, EMT, MSI, P53N, P53P
Relevant pathways: VEGF signaling, vascular and stromal development, inflammatory response, endothelial genes
Gastrointestinal Stromal Tumor (GIST) of the Stomach: Pathologic Examination and Procedure Details
Year: 2005
Region / City: Philadelphia, PA
Topic: Gastrointestinal Stromal Tumor (GIST), Pathology
Document Type: Medical Procedural Guide
Organization / Institution: Elsevier Saunders, Elsevier Churchill Livingstone
Author: Kumar V, Abbas A, Fausto N, Lester SC
Target Audience: Medical professionals, Pathologists
Period of Validity: Not specified
Approval Date: Not specified
Date of Changes: Not specified
GIST successfully completed the 'Buddy Program' for international undergraduate students
Year: 2022
Region / City: Gwangju
Theme: International student support, cultural exchange, education
Document Type: News article
Organization: GIST (Gwangju Institute of Science and Technology)
Author: N/A
Target Audience: International undergraduate students, prospective students, faculty
Period of Activity: Four months (September to December)
Approval Date: December 27, 2022
Date of Changes: N/A
GIST and Korea Air Industry Promotion Association Sign MoU for Air Industry Development on April 26
Year: 2022
Date: April 26
Time: 1:30 pm
Location: GIST (Gwangju Institute of Science and Technology) Administration Building, Gwangju
Organizations: GIST (Gwangju Institute of Science and Technology); Korea Air Industry Promotion Association
Document Type: Memorandum of Understanding (MoU) / Business Agreement
Signatories: Kiseon Kim; Bo-gon Kim
Participants: Young-jip Kim; Chang-Duk Jun; Chang-geum Song; Hwa-shin Lee; In-seong Jang; Kyung-hoon Kwak
Subject: Development of the air industry and nurturing of professional workforce
Purpose: Technological innovation, local industry development, job creation, commercialization of public technologies
Scope of Cooperation: Information exchange; support for local companies; technology guidance and consulting; discovery, analysis, transfer, and education of promising technologies; mutual development and cooperation
Association between DNM3OS Expression and Clinicopathological Characteristics of Gastric GIST Patients
Source section: Table 3
Disease: Gastric gastrointestinal stromal tumor (GIST)
Biomarker: DNM3OS expression
Variables analyzed: Gender; Age; Tumor size; Mitotic count; NIH risk classification; Mutational status; Prior TKI treatment
Sample size: 251 patients
Low expression group: n=143
High expression group: n=108
Mutation analysis subset: n=130
Statistical methods: P value comparison; Fisher exact test
Genetic markers: KIT exon 9/11; PDGFRA exon 18; WT
Clinical parameters: Tumor size (cm); Mitotic count per 50 HPFs; NIH risk classification categories
Therapeutic variable: Prior tyrosine kinase inhibitor (TKI) treatment
Field of study: Oncology; Molecular pathology
Topics: ICCR Stromal GIST