AIMC Topic: Pleura

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Updated perspectives on visceral pleural invasion in non-small cell lung cancer: A propensity score-matched analysis of the SEER database.

Current problems in cancer Apr 18, 2025
BACKGROUND: Visceral pleural invasion (VPI), including PL1 (the tumor invades beyond the elastic layer) and PL2 (the tumor extends to the surface of the visceral pleura), plays a crucial role in staging Non-Small Cell Lung Cancer (NSCLC). However, th...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Follow-Up Studies Survival Rate Male Middle Aged SEER Program Propensity Score Pleura Neoplasm Invasiveness Neoplasm Staging Pleural Neoplasms Humans Prognosis Retrospective Studies Female Aged
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Preoperative evaluation of visceral pleural invasion in peripheral lung cancer utilizing deep learning technology.

Surgery today May 23, 2024
PURPOSE: This study aimed to assess the efficiency of artificial intelligence (AI) in the detection of visceral pleural invasion (VPI) of lung cancer using high-resolution computed tomography (HRCT) images, which is challenging for experts because of...
Female Aged Aged, 80 and over Adult Sensitivity and Specificity Male Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Humans Pleural Neoplasms Preoperative Period Pleura Carcinoma, Non-Small-Cell Lung Neoplasm Invasiveness Neoplasm Staging Middle Aged Deep Learning Lung Neoplasms
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Prediction of visceral pleural invasion of clinical stage I lung adenocarcinoma using thoracoscopic images and deep learning.

Surgery today Oct 20, 2023
PURPOSE: To develop deep learning models using thoracoscopic images to identify visceral pleural invasion (VPI) in patients with clinical stage I lung adenocarcinoma, and to verify if these models can be applied clinically.
Thoracoscopy Viscera Male Adenocarcinoma of Lung Female Predictive Value of Tests Pleura Humans ROC Curve Middle Aged Aged Neural Networks, Computer Neoplasm Staging Lung Neoplasms Deep Learning Sensitivity and Specificity Neoplasm Invasiveness
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Explainable PET-based intratumoral and peritumoral machine learning model for predicting visceral pleural invasion in clinical-stage IA non-small cell lung cancer: A two-center study.

Clinical radiology Jun 1, 2025
AIM: The aim of this study was to develop a PET-based machine learning model for predicting visceral pleural invasion (VPI) in patients with clinical stage IA non-small cell lung cancer.
Retrospective Studies Female Aged Humans Machine Learning Middle Aged Lung Neoplasms Carcinoma, Non-Small-Cell Lung Aged, 80 and over Adult Male Pleura Neoplasm Invasiveness Radiopharmaceuticals Neoplasm Staging Positron-Emission Tomography Fluorodeoxyglucose F18
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Deep learning radiomics fusion model to predict visceral pleural invasion of clinical stage IA lung adenocarcinoma: a multicenter study.

Journal of cardiothoracic surgery May 28, 2025
AIM: To assess the predictive performance, risk stratification capabilities, and auxiliary diagnostic utility of radiomics, deep learning, and fusion models in identifying visceral pleural invasion (VPI) in lung adenocarcinoma.
Pleura Middle Aged Deep Learning Lung Neoplasms Neoplasm Invasiveness Neoplasm Staging Adenocarcinoma of Lung Aged Radiomics Male Tomography, X-Ray Computed Female Humans Prognosis Retrospective Studies
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Man versus Machine in Pleural Diagnostics: Does Artificial Intelligence Provide the Solution?

Annals of the American Thoracic Society Feb 1, 2024
Machine Learning Diagnosis, Differential Pleural Effusion Humans Pleura Artificial Intelligence
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