Computer aided detection (CAD) and scoring of lung nodules in a Scottish lung cancer screening programme.

Congress:

ECR 2018

Poster Number:

C-1407

Type:

Scientific Exhibit

Keywords:

Cancer, Computer Applications-Detection, diagnosis, CT, CAD, Thorax, Respiratory system

Authors:

M. Hall¹, A. A. A. Setio², S. Sheridan¹, M. Sproule¹, M. Williams³, E. T. Scholten⁴, C. Jacobs⁴, B. Van Ginnekin⁴, G. Roditi¹; ¹Glasgow/UK, ²nijmegen, Gelderland/NL, ³Edinburgh/UK, ⁴Nijmegen/NL

DOI:

10.1594/ecr2018/C-1407

DOI-Link:

https://dx.doi.org/10.1594/ecr2018/C-1407

Fig. 1: ADENOCARCINOMA - Scoring - Radiology 4a, CAD 3

Fig. 2: ADENOCARCINOMA - Scoring - Radiology 4a, CAD 4a

Methods and materials

The initial screening Chest CT scans from Glasgow patients enrolled within the prospective ECLS study⁵ were sent for Lung-RADs analysis by Diagnostic Image Analysis Group Department of Radiology and Nuclear Medicine, Radboud University Medical Center.

Computer aided detection was used to identify nodules and then categorise them into one of four groups (CAD 1 - 4) based upon probability of malignancy taking into account lesion morphology, size, location and texture. Independently and blind to the CAD results the scans were reported by two experienced consultant respiratory radiologists and assigned a similar grading category. The patient were then followed up with interval CT scans as per the ECLS study protocol.