Research Presentation Sessions: Chest

RPS 2604 - Lung nodules

Lectures

1
Introduction by the moderator

Introduction by the moderator

04:00Martijn F. Boomsma, Nigtevecht / NL

2
An integrated nomogram combined clinical-semantic-radiomic features to predict invasive pulmonary adenocarcinomas in subjects with subsolid nodules

An integrated nomogram combined clinical-semantic-radiomic features to predict invasive pulmonary adenocarcinomas in subjects with subsolid nodules

08:00Fu-Zong Wu, Kaohsiung / TW

3
How can we help improve the identification of lung cancers mimicking unresolved community acquired pneumonias?

How can we help improve the identification of lung cancers mimicking unresolved community acquired pneumonias?

08:00Farah Dadnam, Cardiff / UK

4
Lung nodule morphology: effect of deep learning versus iterative reconstruction at different dose levels

Lung nodule morphology: effect of deep learning versus iterative reconstruction at different dose levels

08:00Caro Franck, Edegem / BE

5
Ultrashort echo time pulmonary MRI: nodule detection and lung-RADS classification versus standard- or low-dose CTs

Ultrashort echo time pulmonary MRI: nodule detection and lung-RADS classification versus standard- or low-dose CTs

08:00Yoshiharu Ohno, Toyoake / JP

6
Contextual lung nodule detection with adjacent slices: raising hope for early detection and reducing false positives per scan

Contextual lung nodule detection with adjacent slices: raising hope for early detection and reducing false positives per scan

08:00Stéphanie Lopez, Nice / FR

7
Diagnostic validation of a deep-learning nodule detection algorithm in low-dose chest CT: determination of optimised dose thresholds in a virtual screening scenario

Diagnostic validation of a deep-learning nodule detection algorithm in low-dose chest CT: determination of optimised dose thresholds in a virtual screening scenario

08:00Alan Peters, Bern / CH