Single-cell analysis of human non-small cell lung cancer lesions refines tumor classification and patient stratification
… of non-small cell lung cancer (NSCLC) management. While tumor mutational burden (TMB) …
the relationship between the baseline immune response and tumor genotype. Using single-…
the relationship between the baseline immune response and tumor genotype. Using single-…
Radiomics for survival risk stratification of clinical and pathologic stage IA pure-solid non–small cell lung cancer
… the optimal signature was selected for patient stratification. … cell lung cancer (NSCLC)
manifests as two radiologic subtypes on thin-section CT images: subsolid and pure-solid lesions (1)…
manifests as two radiologic subtypes on thin-section CT images: subsolid and pure-solid lesions (1)…
[HTML][HTML] Do we need to see to believe?—radiomics for lung nodule classification and lung cancer risk stratification
A Khawaja, BJ Bartholmai, S Rajagopalan… - Journal of Thoracic …, 2020 - ncbi.nlm.nih.gov
… screen or incidentally detected lung cancers represent indolent lesions and overdiagnosed
… , classification and risk-stratification of screen and incidentally detected lung cancers. In this …
… , classification and risk-stratification of screen and incidentally detected lung cancers. In this …
Risk stratification of EGFR+ lung cancer diagnosed with panel-based next-generation sequencing
P Christopoulos, M Kirchner, J Roeper, F Saalfeld… - Lung Cancer, 2020 - Elsevier
… of single important factors, we describe their relationships and interactions in order to
support multiparametric risk assessment and provide a framework for patient stratification. …
support multiparametric risk assessment and provide a framework for patient stratification. …
Deep learning for prediction of N2 metastasis and survival for clinical stage I non–small cell lung cancer
… prognosis stratification in patients with clinical stage I NSCLC. … were included in this study
if they (a) had pulmonary lesions … Patients with multiple lesions and those who underwent …
if they (a) had pulmonary lesions … Patients with multiple lesions and those who underwent …
Lung cancer cytology and small biopsy specimens: diagnosis, predictive biomarker testing, acquisition, triage, and management
S Sung, JJ Heymann, JP Crapanzano… - Journal of the American …, 2020 - Elsevier
… lesion, which can be sampled by TBNA, forceps biopsies, or brushing. The diagnostic yield
in suspicious lung lesions … expression data to risk stratify lung nodules in former smokers with …
in suspicious lung lesions … expression data to risk stratify lung nodules in former smokers with …
[HTML][HTML] Tumor spread through air spaces (STAS): prognostic significance of grading in non-small cell lung cancer
YB Han, H Kim, M Mino-Kenudson, S Cho, HJ Kwon… - Modern Pathology, 2021 - Elsevier
… It is not certain, however, whether the longer distance as the cut-off used in our study better
stratified low- and high-grade STAS. Warth et al. reported that OS and disease-free survival …
stratified low- and high-grade STAS. Warth et al. reported that OS and disease-free survival …
[HTML][HTML] MRI radiomic signature predicts intracranial progression-free survival in patients with brain metastases of ALK-positive non-small cell lung cancer
S Zhao, D Hou, X Zheng, W Song, X Liu… - … Lung Cancer …, 2021 - ncbi.nlm.nih.gov
… 87 brain metastatic lesions in 24 ALK-positive NSCLC patients … sets to estimate Rad-score’s
patient-stratification ability. … radiomic signature for risk stratification in patients with crizotinib-…
patient-stratification ability. … radiomic signature for risk stratification in patients with crizotinib-…
[HTML][HTML] Deep learning classification of lung cancer histology using CT images
TL Chaunzwa, A Hosny, Y Xu, A Shafer, N Diao… - Scientific reports, 2021 - nature.com
… risk stratification. In this study, we propose a radiomics approach to predicting non-small cell
lung cancer (NSCLC) tumor … In addition to the lesion of interest, our model also highlighted …
lung cancer (NSCLC) tumor … In addition to the lesion of interest, our model also highlighted …
[HTML][HTML] Clinicopathologic and genotypic features of lung adenocarcinoma characterized by the international association for the study of lung cancer grading system
R Fujikawa, Y Muraoka, J Kashima, Y Yoshida… - Journal of Thoracic …, 2022 - Elsevier
… In cases of multiple lesions, the one with the highest T factor was evaluated. … The results
of this study confirm that the new grading system is useful for prognostic stratification, similar to …
of this study confirm that the new grading system is useful for prognostic stratification, similar to …
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