RPS 1104 - Pulmonary nodules and more: oncologic imaging
Lectures
1
Extent and sources of disagreement between expert mesothelioma radiologists reporting therapeutic response using mRECIST 1.1 criteria: a multicentre retrospective cohort study
07:00Gordon Cowell, Glasgow / UK
2
Can we trust AI? A comparison of AI software tools for automated detection, quantification and categorisation of pulmonary nodules in the HANSE LCS trial
07:00Rimma Kondrashova, Hannover / DE
3
Risk assessment of persistent incidental pulmonary subsolid nodules to guide the appropriate surveillance interval and endpoint
07:00Mengwen Liu, Beijing / CN
4
Diagnostic performance of a deep learning-based method in the differential diagnosis of benign and malignant subcentimeter solid pulmonary nodules
07:00Jianing Liu, Beijing / CN
5
Spectral CT for the evaluation of pulmonary subsolid nodules: impact of quantitative reconstruction methods on measurement accuracy and image quality
07:00Li Ding, Guangzhou / CN
6
Volumetric classification of pulmonary nodules in lung cancer screening: the influence of reconstruction parameters
07:00Harriet Louise Lancaster, Groningen / NL
7
Tumour volume doubling time in lung cancer: a systematic review and meta-analysis
07:00Beibei Jiang, Groningen / NL
8
Preoperative risk factors for early recurrence in patients with pathological stage IIIA-N2 non-small cell lung cancer after upfront surgery: prognostic value of new N stage subcategories