A Clinical Prediction Model for Estimating the Probability of Malignancy of a Solitary Pulmonary Nodule in the Philippine Setting

Ceniza, Shane V.; Balili, Eric R.; Cañete, Maria Teresa A.; Abrigonda, Jose Jay M.; Rafanan, Albert L.

doi:10.1378/chest.10676

Cited by 2 publications

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“…It is important to follow published guidelines on the management of small pulmonary nodules, and, although in-depth discussion of the management of screen-detected nodules is not practical in this review, one must always be aware that the evaluation of nodules starts first and foremost with an estimate of the pretest probability of cancer. 44 Numerous prediction models exist for this purpose, [45][46][47] but I have always relied on an older model developed at a time when most nodules were detected by chest X-ray. 46 This model has been applied widely and successfully and uses six easily identifiable variables: three clinical variables (age, cancer history, and tobacco history) and thee nodule characteristics (diameter, upper/ lower lobe location, and edge characteristics).…”

Section: In What Environment Should Screening Take Place and Test Resmentioning

confidence: 99%

Lung Cancer Screening

Arenberg

2013

Semin Respir Crit Care Med

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The National Lung Screening Trial demonstrated that lung cancer screening with three annual low-dose computed tomographic scans has the potential to reduce lung cancer-specific mortality by 20% in an older population of heavy smokers. This was a great achievement by the National Lung Screening Trial (NLST) investigators, but this should be viewed as an important first step in an unfinished process. Many major questions remain about how to best realize this mortality reduction in a practical real-world context. Screening for lung cancer will be most effective if it is accompanied by continued research into risk modeling, patient communication strategies, and biomarkers. For clinicians establishing a program of lung cancer screening, we encourage this to be done in a responsible fashion, adhering to practices specified in the design of the NLST, and with careful attention given to proper management of screen-detected abnormalities and maintenance of screening registries.

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Section: In What Environment Should Screening Take Place and Test Resmentioning

confidence: 99%

Lung Cancer Screening

Arenberg

2013

Semin Respir Crit Care Med

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“…It is important to follow published guidelines on the management of small pulmonary nodules, and although indepth discussion of the management of screen-detected nodules is not appropriate in this review, one must always be aware that evaluation of nodules starts first and foremost with an estimate of the pre-test probability of cancer [29]. Numerous prediction models exist for this purpose [30][31][32]. One widely used model uses six easily identifiable variables; three clinical variables (age, cancer history, and tobacco history) and thee nodule characteristics (diameter, upper/lower lobe location, and edge characteristics; [31]).…”

Section: In What Environment Should Screening Take Place and Test Resmentioning

confidence: 99%

Implementation of a Lung Cancer-Screening Program

Arenberg

2013

Curr Surg Rep

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The National Lung Screening Trial (NLST) demonstrated that lung cancer screening with three annual low-dose CT scans has the potential to reduce lung cancerspecific mortality by 20 % among a population of older heavy smokers. Many questions should be raised to convert this efficacy into effective clinical practice. Screening for lung cancer will be most effective if it is conducted solely for high-risk individuals that can benefit from cancer treatment. Ongoing screening should be accompanied by continued research into risk modeling, communication strategies, and biomarkers. For clinicians establishing lung cancer screening programs, this should be done responsibly, adhering to practices specified in the design of the NLST, and with careful attention given to proper management of screen-detected abnormalities and maintenance of screening registries.

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A Clinical Prediction Model for Estimating the Probability of Malignancy of a Solitary Pulmonary Nodule in the Philippine Setting

Cited by 2 publications

References 0 publications

Lung Cancer Screening

Lung Cancer Screening

Implementation of a Lung Cancer-Screening Program

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