[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 …
Management guidelines for stage III non-small cell lung cancer
AR Jazieh, M Zeitouni, M Alghamdi, M Alrujaib… - Critical Reviews in …, 2021 - Elsevier
Management of stage III non-small cell lung cancer (NSCLC) is very challenging due to
being a group of widely heterogeneous diseases that require multidisciplinary approaches …
being a group of widely heterogeneous diseases that require multidisciplinary approaches …
Pleural tags on CT scans to predict visceral pleural invasion of non–small cell lung cancer that does not abut the pleura
JS Hsu, IT Han, TH Tsai, SF Lin, TS Jaw, GC Liu… - Radiology, 2016 - pubs.rsna.org
Purpose To evaluate the association of pleural tags with visceral pleural invasion of non–
small cell lung cancer (NSCLC) that does not abut the pleural surface. Materials and …
small cell lung cancer (NSCLC) that does not abut the pleural surface. Materials and …
CT-defined visceral pleural invasion in T1 lung adenocarcinoma: lack of relationship to disease-free survival
Background Pathologic visceral pleural invasion (pVPI) leads to upstaging from T1 to T2.
However, it is unclear whether the CT features for pVPI can be reliably used as a clinical T2 …
However, it is unclear whether the CT features for pVPI can be reliably used as a clinical T2 …
Prediction of visceral pleural invasion in lung cancer on CT: deep learning model achieves a radiologist-level performance with adaptive sensitivity and specificity to …
Objectives To develop and validate a preoperative CT-based deep learning model for the
prediction of visceral pleural invasion (VPI) in early-stage lung cancer. Methods In this …
prediction of visceral pleural invasion (VPI) in early-stage lung cancer. Methods In this …
Correlation between pleural tags on CT and visceral pleural invasion of peripheral lung cancer that does not appear touching the pleural surface
H Onoda, M Higashi, T Murakami, H Tao… - European …, 2021 - Springer
Objectives To evaluate the association between a sign and visceral pleural invasion (VPI) of
peripheral non–small-cell lung cancer (NSCLC) that does not appear touching the pleural …
peripheral non–small-cell lung cancer (NSCLC) that does not appear touching the pleural …
[HTML][HTML] Semiquantitative computed tomography characteristics for lung adenocarcinoma and their association with lung cancer survival
Background Computed tomography (CT) characteristics derived from noninvasive images
that represent the entire tumor might have diagnostic and prognostic value. The purpose of …
that represent the entire tumor might have diagnostic and prognostic value. The purpose of …
CT diagnosis of pleural and stromal invasion in malignant subpleural pure ground-glass nodules: an exploratory study
Q Zhao, J Wang, L Yang, L Xue, W Lu - European radiology, 2019 - Springer
Objectives To assess the risk of visceral pleural invasion (VPI) and improve the diagnosis of
invasive adenocarcinoma (IA) in pure ground-glass nodules (pGGNs) in contact with pleura …
invasive adenocarcinoma (IA) in pure ground-glass nodules (pGGNs) in contact with pleura …
Visceral pleural invasion in pulmonary adenocarcinoma: differences in CT patterns between solid and subsolid cancers
BH Heidinger, U Schwarz-Nemec… - Radiology …, 2019 - pubs.rsna.org
Purpose To analyze the incidence and CT patterns of visceral pleural invasion (VPI) in
adenocarcinomas on the basis of their CT presentation as solid or subsolid nodules …
adenocarcinomas on the basis of their CT presentation as solid or subsolid nodules …
[HTML][HTML] A deep learning model based on the attention mechanism for automatic segmentation of abdominal muscle and fat for body composition assessment
H Shen, P He, Y Ren, Z Huang, S Li… - … Imaging in Medicine …, 2023 - ncbi.nlm.nih.gov
Background Quantitative muscle and fat data obtained through body composition analysis
are expected to be a new stable biomarker for the early and accurate prediction of treatment …
are expected to be a new stable biomarker for the early and accurate prediction of treatment …