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Clinical Validation of the M5L Lung CAD

Clinical Validation of a CAD System for the Automated Identification of Pulmonary Metastases in Oncological Patients - CADM5L

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03179150
Enrollment
237
Registered
2017-06-07
Start date
2015-09-01
Completion date
2017-06-01
Last updated
2017-06-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Lung Cancer Metastatic

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

DIAGNOSTIC_TESTComputed Tomography

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

Candiolo Cancer Institute - IRCCS
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

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

MeasureTime frameDescription
Per-patient detection sensitivity unassisted vs CAD assisted reading1 month after collection of dataComparison of the detection sensitivity between unassisted and CAD assisted reading. Per patient analysis
Per-lesion detection sensitivity unassisted vs CAD assisted reading1 month after collection of dataComparison 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

MeasureTime frame
Comparison of reading time between unassisted vs CAD assisted reading1 month after collection of data

Countries

Italy

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026