Artificial intelligence in lung cancer diagnosis and prognosis: Current application and future perspective
Lung cancer is one of the malignant tumors with the highest incidence and mortality in the
world. The overall five-year survival rate of lung cancer is relatively lower than many leading …
world. The overall five-year survival rate of lung cancer is relatively lower than many leading …
[HTML][HTML] Non-small cell lung cancer: current treatment and future advances
C Zappa, SA Mousa - Translational lung cancer research, 2016 - ncbi.nlm.nih.gov
Lung cancer has a poor prognosis; over half of people diagnosed with lung cancer die
within one year of diagnosis and the 5-year survival is less than 18%. Non-small cell lung …
within one year of diagnosis and the 5-year survival is less than 18%. Non-small cell lung …
Radiomics signature: a potential biomarker for the prediction of disease-free survival in early-stage (I or II) non—small cell lung cancer
Purpose To develop a radiomics signature to estimate disease-free survival (DFS) in
patients with early-stage (stage I–II) non–small cell lung cancer (NSCLC) and assess its …
patients with early-stage (stage I–II) non–small cell lung cancer (NSCLC) and assess its …
Surgical treatment of lung cancer
H Hoy, T Lynch, M Beck - Critical Care Nursing Clinics, 2019 - ccnursing.theclinics.com
Lung cancer is the leading cause of cancer-related death and the second most diagnosed
cancer for both men and women in the United States 1, 2 More than 25, 000 surgeries for …
cancer for both men and women in the United States 1, 2 More than 25, 000 surgeries for …
Treatment of stage III non-small cell lung cancer: Diagnosis and management of lung cancer: American College of Chest Physicians evidence-based clinical practice …
Objectives Stage III non-small cell lung cancer (NSCLC) describes a heterogeneous
population with disease presentation ranging from apparently resectable tumors with occult …
population with disease presentation ranging from apparently resectable tumors with occult …
Non–small cell lung cancer
DS Ettinger, W Akerley, G Bepler, MG Blum… - Journal of the national …, 2010 - jnccn.org
Lung cancer is the leading cause of cancer-related death in the United States. An estimated
219,440 new cases (116,090 men; 103,350 women) of lung and bronchus cancer were …
219,440 new cases (116,090 men; 103,350 women) of lung and bronchus cancer were …
Patterns of disease recurrence after stereotactic ablative radiotherapy for early stage non-small-cell lung cancer: a retrospective analysis
S Senthi, FJ Lagerwaard, CJA Haasbeek… - The lancet …, 2012 - thelancet.com
Background Stereotactic ablative radiotherapy (SABR) is increasingly used in the treatment
of medically inoperable early stage non-small-cell lung cancer (NSCLC). Because patterns …
of medically inoperable early stage non-small-cell lung cancer (NSCLC). Because patterns …
Mediastinoscopy vs endosonography for mediastinal nodal staging of lung cancer: a randomized trial
JT Annema, JP Van Meerbeeck, RC Rintoul, C Dooms… - Jama, 2010 - jamanetwork.com
Context Mediastinal nodal staging is recommended for patients with resectable non–small
cell lung cancer (NSCLC). Surgical staging has limitations, which results in the performance …
cell lung cancer (NSCLC). Surgical staging has limitations, which results in the performance …
Molecular imaging for cancer diagnosis and surgery
T Hussain, QT Nguyen - Advanced drug delivery reviews, 2014 - Elsevier
Novel molecular imaging techniques have the potential to significantly enhance the
diagnostic and therapeutic approaches for cancer treatment. For solid tumors in particular …
diagnostic and therapeutic approaches for cancer treatment. For solid tumors in particular …
[HTML][HTML] Constructing lncRNA functional similarity network based on lncRNA-disease associations and disease semantic similarity
X Chen, C Clarence Yan, C Luo, W Ji, Y Zhang… - Scientific reports, 2015 - nature.com
Increasing evidence has indicated that plenty of lncRNAs play important roles in many
critical biological processes. Developing powerful computational models to construct …
critical biological processes. Developing powerful computational models to construct …