ReviewModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2022
Updates in grading and invasion assessment in lung adenocarcinoma.
Review in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 42 citations in OpenAlex.
- Evaluation of grading systems among pulmonary adenocarcinomas: architectural grade combined with STAS is superior to others - a single centre study.Virchows Archiv : an international journal of pathology · 2026Article
- The Relationship Between Pulmonary Spiculation and Central Fibrosis, Along With Other Clinicopathological Features, in Invasive Lung Adenocarcinoma and Its Prognostic Significance.Thoracic cancer · 2026Article
- Application of SHAP visualization and nomogram based on PET/CT radiomics combined models for risk stratification in high-grade invasive lung adenocarcinoma.Journal of translational medicine · 2026Article
- Nonlinear association between standardized uptake value (SUV) index based onQuantitative imaging in medicine and surgery · 2026Article
- Prognostic biomarkers for lung adenocarcinoma based on Mendelian randomization analysis.The Journal of international medical research · 2026Article
- Multi-Omics reveals SPP1 + malignant and CXCR4Discover oncology · 2026Article
- Microbiota characteristics in different lung tissue sites of female patients with invasive adenocarcinoma.BMC microbiology · 2026Article
- Observational
- Article
- MuCoSA: Multi-contextual similarity assessment for histopathology image search.Journal of pathology informatics · 2026Article
- Predicting Invasiveness of Lung Adenocarcinoma from Chest CT with Few-shot Vision-Language Ternary Classification Model.NPJ digital medicine · 2025Article
- A Lightweight Cross-Gated Dual-Branch Attention Network for Colon and Lung Cancer Diagnosis from Histopathological Images.Medical sciences (Basel, Switzerland) · 2025Article
- Machine learning-based prediction of invasiveness in lung adenocarcinoma presenting as ground-glass nodules using radiomics and clinical CT features.BMC cancer · 2025Article
- Simultaneous classification and delineation of seven types of histological growth patterns in lung adenocarcinomas using self-supervised learning and online hard patch mining.Quantitative imaging in medicine and surgery · 2025Article
- Trichosanthin elicits antitumor activity via MICU3 mediated mitochondria calcium influx.Journal of advanced research · 2025Article
- Comparing Xenium 5K and Visium HD data from identical tissue slide at a pathological perspective.Journal of experimental & clinical cancer research : CR · 2025Article
- Gene expression in tumor and adjacent normal tissues in lung adenocarcinoma subtypes.BMC cancer · 2025Article
- Article
- Application and progress of non-invasive imaging in predicting lung invasive non-mucinous adenocarcinoma under the new IASLC grading guidelines.Insights into imaging · 2025Review
- Building a Risk Scoring Model for ARDS in Lung Adenocarcinoma Patients Using Machine Learning Algorithms.Journal of cellular and molecular medicine · 2024Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The pathologic evaluation of lung adenocarcinoma, because of greater understanding of disease progression and prognosis, has become more complex. It is clear that histologic growth patterns reflect indolent and aggressive disease, resulting in clearer morphologic groups that can be the underpinning of a grading system. In addition, the progression of adenocarcinoma from a tumor that preserves alveolar architecture to one that remodels and effaces lung structure has led to criteria that reflect invasive rather than in-situ growth. While some of these are based on tumor cell growth pattern, aspects of this remodeling from desmoplasia to artifacts of lung collapse and sectioning, can lead to difficult to interpret patterns with lower reproducibility between observers. Such scenarios are examined to provide updates on new histologic concepts and to highlight ongoing problem areas.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.