AIMC Topic: Pleural Neoplasms

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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...
Retrospective Studies Female Aged Survival Rate Male Humans Prognosis Neoplasm Staging Pleural Neoplasms SEER Program Propensity Score Pleura Middle Aged Lung Neoplasms Carcinoma, Non-Small-Cell Lung Follow-Up Studies Neoplasm Invasiveness
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Rapid On-Site Histology of Lung and Pleural Biopsies Using Higher Harmonic Generation Microscopy and Artificial Intelligence Analysis.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Oct 16, 2024
Lung cancer is one of the most prevalent and lethal cancers. To improve health outcomes while reducing health care burden, it becomes crucial to move toward early detection and cost-effective workflows. Currently, there is no method for the on-site r...
Pleural Neoplasms Image Interpretation, Computer-Assisted Aged, 80 and over Adult Male Middle Aged Lung Lung Neoplasms Biopsy Feasibility Studies Microscopy Humans Artificial Intelligence Female Aged
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Convolutional Neural Networks for Segmentation of Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance).

Journal of imaging informatics in medicine Sep 12, 2024
The purpose of this study was to evaluate the impact of probability map threshold on pleural mesothelioma (PM) tumor delineations generated using a convolutional neural network (CNN). One hundred eighty-six CT scans from 48 PM patients were segmented...
Female Aged Male Middle Aged Convolutional Neural Networks Humans Neural Networks, Computer Tomography, X-Ray Computed Tumor Burden Radiographic Image Interpretation, Computer-Assisted Mesothelioma Pleural Neoplasms Probability
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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...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Neoplasm Invasiveness Neoplasm Staging Pleural Neoplasms Sensitivity and Specificity Male Middle Aged Deep Learning Preoperative Period Pleura Humans Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult
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Fully automated volumetric measurement of malignant pleural mesothelioma by deep learning AI: validation and comparison with modified RECIST response criteria.

Thorax Feb 2, 2022
BACKGROUND: In malignant pleural mesothelioma (MPM), complex tumour morphology results in inconsistent radiological response assessment. Promising volumetric methods require automation to be practical. We developed a fully automated Convolutional Neu...
Response Evaluation Criteria in Solid Tumors Retrospective Studies Deep Learning Mesothelioma Mesothelioma, Malignant Humans Pleural Neoplasms Artificial Intelligence
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The use of a next-generation sequencing-derived machine-learning risk-prediction model (OncoCast-MPM) for malignant pleural mesothelioma: a retrospective study.

The Lancet. Digital health Jul 28, 2021
BACKGROUND: Current risk stratification for patients with malignant pleural mesothelioma based on disease stage and histology is inadequate. For some individuals with early-stage epithelioid tumours, a good prognosis by current guidelines can progres...
New York Risk Aged Male Middle Aged Neoplasm Staging Cohort Studies Machine Learning Humans Mesothelioma, Malignant Lung Neoplasms Prognosis Pleural Neoplasms Retrospective Studies High-Throughput Nucleotide Sequencing Female Survival Analysis Risk Factors
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Deep-learning based classification distinguishes sarcomatoid malignant mesotheliomas from benign spindle cell mesothelial proliferations.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Jun 10, 2021
Sarcomatoid mesothelioma is an aggressive malignancy that can be challenging to distinguish from benign spindle cell mesothelial proliferations based on biopsy, and this distinction is crucial to patient treatment and prognosis. A novel deep learning...
Neural Networks, Computer Prognosis Sensitivity and Specificity Deep Learning ROC Curve Image Processing, Computer-Assisted Cell Proliferation Diagnosis, Differential Area Under Curve Humans Mesothelioma Mesothelioma, Malignant Pleural Neoplasms
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Pharmacokinetic evaluation of intrapleural perfusion with hyperthermic chemotherapy using cisplatin in patients with malignant pleural effusion.

Lung cancer (Amsterdam, Netherlands) Dec 21, 2016
OBJECTIVES: Malignant pleural effusion (MPE) has a poor prognosis. Most patients are treated with tube thoracostomy and sclerotherapy, although its success rate is around 64%. We have investigated intrapleural perfusion with hyperthermic chemotherapy...
Pleural Neoplasms Humans Thoracic Surgery, Video-Assisted Infusions, Intralesional Aged Perfusion Prospective Studies Platinum Adult Female Pleural Effusion, Malignant Cisplatin Male Pleural Cavity Mesothelioma Middle Aged Hyperthermia, Induced Lung Neoplasms
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Differential diagnosis of pleural mesothelioma using Logic Learning Machine.

BMC bioinformatics Jun 1, 2015
BACKGROUND: Tumour markers are standard tools for the differential diagnosis of cancer. However, the occurrence of nonspecific symptoms and different malignancies involving the same cancer site may lead to a high proportion of misclassifications. Cla...
Mesothelioma, Malignant Pleural Neoplasms Neoplasm Metastasis Logic Lung Neoplasms Decision Trees Diagnosis, Differential Mesothelioma Female Biomarkers, Tumor Male Middle Aged Cohort Studies Humans Neural Networks, Computer Artificial Intelligence
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Predictors of Survival among Male and Female Patients with Malignant Pleural Mesothelioma: A Random Survival Forest Analysis of Data from the 2000-2017 Surveillance, Epidemiology, and End Results Program.

Journal of registry management Jan 1, 2021
BACKGROUND: Malignant pleural mesothelioma (MPM) is a rare and aggressive malignancy with a dismal prognosis. We aimed to identify predictors of survival among male and female MPM patients in the United States.
SEER Program Male Humans Lung Neoplasms Mesothelioma Prognosis Mesothelioma, Malignant Female Pleural Neoplasms Survival Rate
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