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Completed

NCT Number: NCT03270215

The Added Value of CT Scanning in Patients With an Unilateral Pleural Effusion

To investigate the diagnostic power of computed tomography for discriminating malignant from nonmalignant causes to pleural effusions in consecutive patients with no malignant cells found at a cytological examination and a chest x-ray not suspicious of malignancy. The investigators hypothesised that the combination improves the chance of detecting the cause of the pleural effusion.

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Key information

Age range

16 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Naestved Hospital

Næstved, 4700, Denmark

About this study

Objectives

  • Is CT-scanning better than chest x-ray plus a thoracocentesis for discriminating malignant from benign pleural effusions?
  • What is the added value of a CT-scanning to chest x-ray plus thoracocentesis for discriminating malignant from benign pleural effusions?

The above measured as, true positive, true negative, false positive, false negative, sensitivity, specificity, likelihood ratio+, likelihood ratio -, positive predictive value, negative predictive value and diagnostic accuracy.

Study design A retrospective diagnostic study including consecutive patients with a unilateral pleural effusion. Thoracocentesis, chest x-ray and CT findings are categorised as either normal (i.e. not suggestive of any aetiology of the unilateral pleural effusion), suggestive of other lung pathology or suggestive of malignancy (i.e. representing a possible aetiology of the unilateral pleural effusion). The final diagnosis is extracted from the patients' electronic medical records. When no diagnosis is found, two investigators agree on a consensus diagnosis based on all investigation results. If no reasonable diagnosis can be established based on the findings, the patient case is categorised as having no final diagnosis.

The investigators follow the STARD guideline for reporting diagnostic accuracy studies.

Patients The investigators will include consecutive patients presenting with a unilateral pleural effusion between 01 January 2013 and 31 December 2016. The patients will be identified searching the hospitals administrative patient system for the procedure code thoracocentesis (KTGA30).

Departments of Respiratory Medicine at Zealand University Hospital, Roskilde and Naestved Hospital, Region Zealand, Denmark, participate in this study. Both hospitals are a large tertiary hospital with specialised functions. Patients older than 16 years are included, irrespective of smoking history and comorbidities, if both thoracocentesis, chest x-ray and a CT-scanning are performed. Exclusion criteria are previously diagnosed lung cancer, thoracic malignancy or incomplete data.

Data Relevant data on demographics, descriptive data, symptoms, medical history and diagnostic workup will be extracted from electronic medical records, and registered in the individual patient's case report file (CRF). The CRF is stored using Excel on an encrypted USB-key, the USB-key will be stored behind double lock (room plus cupboard). Background-variables will be utilised to describe the study population and for explorative research. Only study coordinators will have access to data. Computers, as well as a back-up, will be stored and kept in a locked cupboard in a locked room. Only study coordinators possess relevant keys.

Statistics Data will be presented as frequencies and/or mean ± standard deviation (SD). Test characteristics will be compared using McNemar's test with a Bonferroni correction. An alpha level of 0.05 is considered significant. Test characteristics for thoracocentesis, chest x-ray and CT-scanning and the combination of the three will be calculated. Test characteristics are true positive, true negative, false positive, false negative, sensitivity, specificity, likelihood ratio+, likelihood ratio-, positive predictive value, negative predictive value and diagnostic accuracy.

The combined sensitivity of two parallel tests will be calculated using the formula:

The sensitivity of test A + sensitivity of test B - (sensitivity of test A x sensitivity of test B)

The combined specificity for two parallel tests will be calculated using the formula:

The specificity of test A x specificity of test B

The combined sensitivity of three parallel tests will be calculated using the formula:

The sensitivity of test A + sensitivity of test B + sensitivity of test C - (sensitivity of test A x sensitivity of test B x sensitivity of test C)

The combined specificity for three parallel tests will be calculated using the formula:

The specificity of test A x specificity of test B x sensitivity of test C For data analysis, we use STATA (StataCorp LLC, Version 15.0, College Station, Texas, USA).

Ethics The study is retrospective and observational and thus will not affect the included patients. Before any study-related activity, the protocol and study must be approved by the Danish Data Protection Agency and the local Committee on Biomedical Research Ethics. All results will be stored and analysed by computer, and the investigators secure the patients' anonymity according to the national laws. The data are anonymized and stored after completion of the study and data containing personal identification numbers will be kept behind double-lock at the department.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Thoracocentesis
  • Chest X-ray and
  • CT-scanning are performed

Exclusion criteria

  • Lung cancer
  • Other thoracic malignancy

Treatment and study plan

Computed Tomography

Procedure

The diagnostic power to discriminate malignant from nonmalignant causes of e pleural effusion

Primary outcomes

  1. Specificity

    Time frame: 1 year

    TN / (TN+FP)

Secondary outcomes

  1. Diagnostic accuracy

    Time frame: 1 year

    (TP+TN) / (TP+TN+FP+FN)

  2. Likelihood ratio +

    Time frame: 1 year

    LR+ = sensitivity / (1-specificity)

  3. Likelihood ratio -

    Time frame: 1 year

    LR- = (1-sensitivity) / specificity

  4. Positive predictive value

    Time frame: 1 year

    PPV =TP / (TP+ FP)

  5. Negative predictive value

    Time frame: 1 year

    TN/ (TN + FN)

  6. Sensitivity

    Time frame: 1 year

    TP / (TP + FN)

Sponsors and collaborators

Lead sponsor

Naestved Hospital

Other

Registry information

Official study title

The Added Value of CT Scanning for Discriminating Malignant From Non-malignant Causes in Patients With an Unilateral Pleural Effusion

Important dates

Study start
2017
Primary completion
2018
Study completion
2019
First posted
Sep 1, 2017
Registry last updated
Dec 17, 2020

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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