Because the lung cancer field is now rapidly evolving with new advances occurring on a frequent basis, particularly in the molecular arena, this classification provides a much needed standard for ...
A new pathologic scoring system that accurately assesses how much lung tumor is left after a patient receives presurgical cancer treatments can be used to predict survival, according to new research ...
SINGAPORE — Proposed updates to the tumor-node-metastasis (TNM) classification for lung cancer will affect the way patients are staged, experts say. The updates for the 9th Edition of the TNM ...
Enhanced Detection of Druggable Mutations in Non–Small Cell Lung Cancer Using Targeted Collection of Bronchial Washing Fluid Compared With Plasma and Tumor Tissue Ninety-nine patients with resectable ...
The process of staging lung cancer accurately plays a major role in establishing treatment options and predicting survival. Proper lung cancer staging demands a thorough understanding of TNM-8, which ...
(a) Tumor cells are uniform with round to oval nuclei and inconspicuous nucleoli, arranged in a nested/organoid pattern. Other growth patterns include pseudoglandular, trabecular, and follicular with ...
Small-cell lung cancer is an invasive cancer that usually affects long-term smokers. It has two stages: limited and extensive. Each stage has a different outlook. Small-cell lung cancer (SCLC) is a ...
Artificial intelligence (AI)-aided analysis of pathology slides showed potential as a predictive biomarker for non-small cell lung cancer (NSCLC) response to immune checkpoint inhibitors (ICIs), a ...
In a recent study published in the journal Nature, researchers developed and evaluated the Providence Gigapixel Pathology Model (Prov-GigaPath), a whole-slide pathology foundation model, to achieve ...
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