Assessment of barriers and challenges to screening, diagnosis, and biomarker testing in early-stage lung cancer

R Zarinshenas, A Amini, I Mambetsariev, T Abuali… - Cancers, 2023 - mdpi.com
Simple Summary Lung cancer management continues to evolve with improvements in
survival across all stages. The review highlights the current data supporting screening and …

[PDF][PDF] Multidisciplinary team approach in cancer care: a review of the latest advancements

B Scott - Oncology, 2021 - emjreviews.com
The management of patients with cancer is complex and requires contribution from a range
of healthcare professionals working alongside specialist oncology consultants to address …

How to aggregate uncertain and incomplete cognitive evaluation information in lung cancer treatment plan selection? A method based on Dempster-Shafer theory

R Fang, H Liao, A Mardani - Information Sciences, 2022 - Elsevier
Multidisciplinary team is beneficial to select an appropriate treatment plan for a patient with
lung cancer, where the collected cognitive evaluation information may be uncertain and …

[HTML][HTML] Diagnosis of lung cancer by flexible fiberoptic bronchoscopy: a descriptive study

V Biciuşcă, IAS Popescu, DM Traşcă… - Romanian Journal of …, 2022 - ncbi.nlm.nih.gov
Flexible fiberoptic bronchoscopy (FFB) remains the most important minimally invasive
method for the diagnosis of lung cancer (LC). We performed a retrospective study to assess …

MicroRNAs: circulating biomarkers for the early detection of imperceptible cancers via biosensor and machine-learning advances

GAD Metcalf - Oncogene, 2024 - nature.com
This review explores the topic of microRNAs (miRNAs) for improved early detection of
imperceptible cancers, with potential to advance precision medicine and improve patient …

The impact of multidisciplinary team meetings on patient management in oncologic thoracic surgery: a single-center experience

F Petrella, D Radice, J Guarize, G Piperno… - Cancers, 2021 - mdpi.com
Simple Summary Although the role of multidisciplinary team meetings (MDT) in thoracic
oncology is well established, its real impact on decisional process is not well known yet. The …

Extreme learning machine algorithm‐based model for lung cancer classification from histopathological real‐time images

M Grace John, S Baskar - Computational Intelligence, 2023 - Wiley Online Library
In the present scenario, developing an automatic and credible diagnostic system to analyze
lung cancer type, stage, and level from computed tomography (CT) images is a very …

The relative survival impact of guideline-concordant clinical staging and stage-appropriate treatment of potentially curable non-small cell lung cancer

MB Meadows-Taylor, NR Faris, MP Smeltzer, MA Ray… - Chest, 2022 - Elsevier
Background Lung cancer management guidelines strive to improve outcomes. Theoretically,
thorough staging promotes optimal treatment selection. We examined the association …

The diagnosis of lung cancer in the era of interventional pulmonology

CK Liam, P Lee, CJ Yu, C Bai… - … International Journal of …, 2021 - ingentaconnect.com
Advances in bronchoscopic and other interventional pulmonology technologies have
expanded the sampling procedures pulmonologist can use to diagnose lung cancer and …

A Review of Endobronchial-Ultrasound-Guided Transbronchial Intranodal Forceps Biopsy and Cryobiopsy

M Chalhoub, B Joseph, S Acharya - Diagnostics, 2024 - mdpi.com
Benign and malignant mediastinal lesions are not infrequently encountered in clinical
practice. Mediastinoscopy has long been considered the gold standard in evaluating …