Lung Cancer Metastatic
Conditions
Keywords
computer-aided diagnosis, Web, Cloud computing, lung cancer
Brief summary
To compare the diagnostic performance and time efficiency of Computer-Aided Detection (CAD) assisted reading for the identification of pulmonary nodules in chest Computed Tomography (CT) from oncological patients with that of unassisted reading.
Detailed description
The main aim of this study is to compare the diagnostic performance of CAD assisted interpretation with that of unassisted reading in the detection of lung metastases in consecutive patients staged for extrathoracic malignancies. This study also aims at validating a new Web/Cloud based workflow for the use of CAD systems in clinical practice, not requiring installation of additional software or hardware and potentially representing a cost-effective CAD solution for clinical facilities.
Interventions
CT scans were performed on a 128 detector rows CT scanner (Somatom Definition Flash Siemens Medical Systems, Erlangen, Germany) as in routine clinical practice in the centre
Sponsors
Study design
Eligibility
Inclusion criteria
* Diagnosed extra-thoracic neoplasm
Exclusion criteria
* More than 10 nodules * Severe pulmonary fibrosis * Diffuse bronchiectasis * Extensive inflammatory consolidation * Massive pleural effusion * Pregnancy
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Per-patient detection sensitivity unassisted vs CAD assisted reading | 1 month after collection of data | Comparison of the detection sensitivity between unassisted and CAD assisted reading. Per patient analysis |
| Per-lesion detection sensitivity unassisted vs CAD assisted reading | 1 month after collection of data | Comparison of the detection sensitivity between unassisted and CAD assisted reading. Per-lesion analysis. Sub-analyses per nodule tissue, nodule dimension and nodule localization are included |
Secondary
| Measure | Time frame |
|---|---|
| Comparison of reading time between unassisted vs CAD assisted reading | 1 month after collection of data |
Countries
Italy