Role of FDG PET/CT in the eighth edition of TNM staging of non–small cell lung cancer
A Kandathil, FU Kay, YM Butt, JW Wachsmann… - Radiographics, 2018 - pubs.rsna.org
Lung cancer is the leading cause of cancer-related mortality in the United States, and
accurate staging plays a vital role in determining prognosis and treatment. The recently …
accurate staging plays a vital role in determining prognosis and treatment. The recently …
[HTML][HTML] The new 8th TNM staging system of lung cancer and its potential imaging interpretation pitfalls and limitations with CT image demonstrations
SH Feng, ST Yang - Diagnostic and Interventional Radiology, 2019 - ncbi.nlm.nih.gov
The tumor, node, metastasis (TNM) staging system approved by International Association for
the Study of Lung Cancer (IASLC) and the American Joint Committee on Cancer (AJCC) to …
the Study of Lung Cancer (IASLC) and the American Joint Committee on Cancer (AJCC) to …
[HTML][HTML] Revisions to the Tumor, Node, Metastasis staging of lung cancer: Rationale, radiologic findings and clinical implications
FU Kay, A Kandathil, K Batra, SS Saboo… - World journal of …, 2017 - ncbi.nlm.nih.gov
Abstract The Tumor, Node, Metastasis (TNM) staging system, adopted by the Union for
International Cancer Control (UICC) and the American Joint Committee on Cancer (AJCC) …
International Cancer Control (UICC) and the American Joint Committee on Cancer (AJCC) …
Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and …
X Ma, L Xia, J Chen, W Wan, W Zhou - European Radiology, 2023 - Springer
Objective To develop and validate a deep learning (DL) signature for predicting lymph node
(LN) metastasis in patients with lung adenocarcinoma. Methods A total of 612 patients with …
(LN) metastasis in patients with lung adenocarcinoma. Methods A total of 612 patients with …
[HTML][HTML] Development of a predictive radiomics model for lymph node metastases in pre-surgical CT-based stage IA non-small cell lung cancer
M Cong, H Feng, JL Ren, Q Xu, L Cong, Z Hou… - Lung Cancer, 2020 - Elsevier
Objectives To develop and validate predictive models using clinical parameters, radiomic
features and a combination of both for lymph node metastasis (LNM) in pre-surgical CT …
features and a combination of both for lymph node metastasis (LNM) in pre-surgical CT …
Dual-phase dual-energy CT in patients with lung cancer: assessment of the additional value of iodine quantification in lymph node therapy response
J Baxa, A Vondráková, T Matoušková, O Růžičková… - European …, 2014 - Springer
Objectives To investigate the potential contribution of iodine uptake calculation from dual-
phase dual-energy CT (DE-CT) for lymph node staging and therapy response monitoring in …
phase dual-energy CT (DE-CT) for lymph node staging and therapy response monitoring in …
Prognosticating outcomes in interstitial lung disease by mediastinal lymph node assessment. An observational cohort study with independent validation
Rationale: Mediastinal lymph node (MLN) enlargement on chest computed tomography (CT)
is prevalent in patients with interstitial lung disease (ILD) and may reflect immunologic …
is prevalent in patients with interstitial lung disease (ILD) and may reflect immunologic …
Recent and current advances in FDG-PET imaging within the field of clinical oncology in NSCLC: a review of the literature
K Kaseda - Diagnostics, 2020 - mdpi.com
Lung cancer is the leading cause of cancer-related deaths around the world, the most
common type of which is non-small-cell lung cancer (NSCLC). Computed tomography (CT) …
common type of which is non-small-cell lung cancer (NSCLC). Computed tomography (CT) …
Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks
Background In oncology, the correct determination of nodal metastatic disease is essential
for patient management, as patient treatment and prognosis are closely linked to the stage of …
for patient management, as patient treatment and prognosis are closely linked to the stage of …
Performance improvement of mediastinal lymph node severity detection using GAN and Inception network
Background and objective In lung cancer, the determination of mediastinal lymph node
(MLN) status as benign or malignant influence treatment planning and survival rate. Invasive …
(MLN) status as benign or malignant influence treatment planning and survival rate. Invasive …