Prospective validation of the diagnostic accuracy of an automated asbestosis assessment

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON21830

Enrollment

Registered

2020-11-19

Start date

2020-10-01

Completion date

Unknown

Last updated

2024-02-28

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

Conditions

Asbestosis

Interventions

Observational study

Eligibility

Inclusion criteria

Inclusion criteria: All applications for financial asbestosis compensation at the Intituut Asbest slachtoffer (IAS) which are proceeded to the Sectie Asbest-Gerelateerde Aandoeningen (SAGA) from Oktober 2020 will be included in the consecutive validation cohort. Inclusion will be stopped after 59 patients are diagnosed with asbestosis by the reference test.

Exclusion criteria

Exclusion criteria: All applications presided by the IAS will be taken into account for this model. However, IAS can decide to not proceed an application to the SAGA if: Patients already received compensation for asbestosis or malignant mesothelioma in the past or if the applicant was not a Dutch citizen for more than ten years.

Design outcomes

Primary

Measure	Time frame
The sensitivity of the AI- assessment procedure when assessing cases for financial asbestosis compensation in The Netherlands	—

Secondary

Measure	Time frame
1. The specificity, positive predictive value, negative predictive value and positive- and negative likelihood ratio of the AI- assessment procure when assessing financial cases for compensation for asbestosis in The Netherlands 2. The concordance of the asbestosis probability score between the AI- assessment and the judgment of 3 independent medical specialists 3. The sensitivity, specificity, positive predictive value, negative predictive value and positive- and negative likelihood ratio of the AI- assessment procedure when assessing the clinical diagnosis of asbestosis 4. The number of assessments in which the AI-assessment failed to provide an asbestosis probability score 5. The sensitivity specificity, positive predictive value, negative predictive value and positive- and negative likelihood ratio of the High Resolution AI- assessment procure when assessing financial cases for compensation for asbestosis in The Netherlands.	—

Measure

Time frame

1. The specificity, positive predictive value, negative predictive value and positive- and negative likelihood ratio of the AI- assessment procure when assessing financial cases for compensation for asbestosis in The Netherlands 2. The concordance of the asbestosis probability score between the AI- assessment and the judgment of 3 independent medical specialists 3. The sensitivity, specificity, positive predictive value, negative predictive value and positive- and negative likelihood ratio of the AI- assessment procedure when assessing the clinical diagnosis of asbestosis 4. The number of assessments in which the AI-assessment failed to provide an asbestosis probability score 5. The sensitivity specificity, positive predictive value, negative predictive value and positive- and negative likelihood ratio of the High Resolution AI- assessment procure when assessing financial cases for compensation for asbestosis in The Netherlands.

—

Contacts

Public ContactDianne de Gooijer

Nederland Kanker Instituut

d.d.gooijer@nki.nl020 512 9111

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)