[HTML][HTML] A radiomics-based decision support tool improves lung cancer diagnosis in combination with the Herder score in large lung nodules
Background Large lung nodules (≥ 15 mm) have the highest risk of malignancy, and may
exhibit important differences in phenotypic or clinical characteristics to their smaller …
exhibit important differences in phenotypic or clinical characteristics to their smaller …
ACR lung-RADS v2022: assessment categories and management recommendations
The ACR created the Lung CT Screening Reporting and Data System (Lung-RADS) in 2014
to standardize the reporting and management of screen-detected pulmonary nodules. Lung …
to standardize the reporting and management of screen-detected pulmonary nodules. Lung …
Lung Cancer Screening in Clinical Practice: A Five-year Review of Frequency and Predictors of Lung Cancer in the Screened Population
Abstract Objective Evaluate (1) frequency, type, and lung cancer stage in a clinical lung
cancer screening (LCS) population, and (2) association between patient characteristics and …
cancer screening (LCS) population, and (2) association between patient characteristics and …
[HTML][HTML] Potential impact of criteria modifications on race and sex disparities in eligibility for lung cancer screening
MP Smeltzer, W Liao, NR Faris, C Fehnel… - Journal of Thoracic …, 2023 - Elsevier
Introduction Low-dose computed tomography (LDCT) screening reduces lung cancer
mortality, but current eligibility criteria underestimate risk in women and racial minorities. We …
mortality, but current eligibility criteria underestimate risk in women and racial minorities. We …
[HTML][HTML] Cost-Effectiveness Analysis of Risk Factor-Based Lung Cancer Screening Program by Low-Dose Computer Tomography in Current Smokers in China
T Zhang, X Chen, C Li, X Wen, T Lin, J Huang, J He… - Cancers, 2023 - mdpi.com
Simple Summary Low-dose computed tomography (LDCT) has become the standard
approach for lung cancer screening, but the definition of populations at high risk of lung …
approach for lung cancer screening, but the definition of populations at high risk of lung …
Radiomics-based decision support tool assists radiologists in small lung nodule classification and improves lung cancer early diagnosis
Background Methods to improve stratification of small (≤ 15 mm) lung nodules are needed.
We aimed to develop a radiomics model to assist lung cancer diagnosis. Methods Patients …
We aimed to develop a radiomics model to assist lung cancer diagnosis. Methods Patients …
Leveraging Serial Low-Dose CT Scans in Radiomics-based Reinforcement Learning to Improve Early Diagnosis of Lung Cancer at Baseline Screening
Purpose To evaluate the feasibility of leveraging serial low-dose CT (LDCT) scans to
develop a radiomics-based reinforcement learning (RRL) model for improving early …
develop a radiomics-based reinforcement learning (RRL) model for improving early …
Malignant nodules detected on lung cancer screening CT: yield of short-term follow-up CT in showing nodule growth
SC Byrne, MM Hammer - American Journal of …, 2022 - Am Roentgen Ray Soc
Please see the Editorial Comment by Brett M. Elicker discussing this article. To listen to the
podcast associated with this article, please select one of the following: iTunes, Google Play …
podcast associated with this article, please select one of the following: iTunes, Google Play …
An Effective Malignancy Prediction Model for Incidentally Detected Pulmonary Subsolid Nodules Based on Current and Prior CT Scans
S Li, M Chen, Y Wang, X Li, G Gao, X Luo, L Tang… - Clinical Lung Cancer, 2023 - Elsevier
Introduction It is challenging to diagnose and manage incidentally detected pulmonary
subsolid nodules due to their indolent nature and heterogeneity. The objective of this study …
subsolid nodules due to their indolent nature and heterogeneity. The objective of this study …
[HTML][HTML] Quantitative parameters of enhanced dual-energy computed tomography for differentiating lung cancers from benign lesions in solid pulmonary nodules
C He, J Liu, Y Li, L Lin, H Qing, L Guo, S Hu… - Frontiers in …, 2022 - frontiersin.org
Objectives This study aimed to investigate the ability of quantitative parameters of dual-
energy computed tomography (DECT) and nodule size for differentiation between lung …
energy computed tomography (DECT) and nodule size for differentiation between lung …