FEV1/FVC Ratio Calculator
Calculate the FEV1/FVC ratio with percent-predicted context, fixed-ratio obstruction screening, and bronchodilator response framing.
Estimate smoking-related lung cancer risk with a simplified worksheet and check low-dose CT screening eligibility against published screening criteria.
| Factor | Risk Weight | Source |
|---|---|---|
| Age โฅ 55 | Strong | USPSTF, NLST |
| โฅ 20 pack-years | Strong | USPSTF screening criteria |
| Current smoker | Strong | Relative risk 15โ30ร |
| COPD / Emphysema | Moderate | Independent risk factor |
| Family history (1st degree) | Moderate | 1.5โ2ร increased risk |
| Prior cancer history | Moderate | Elevated risk |
| Occupational exposure | Moderate | Asbestos, radon, diesel |
| Low BMI (< 25) | Weak | Association in some models |
| Organization | Eligibility | Test |
|---|---|---|
| USPSTF (2021) | Age 50โ80, โฅ 20 pack-years, currently smoke or quit within 15 years | Annual low-dose CT |
| ACS (2023) | Age 50โ80, โฅ 20 pack-years, current or former smoker | Annual low-dose CT |
Lung cancer is the leading cause of cancer death worldwide, and cigarette smoking remains the dominant risk factor. Risk rises with cumulative smoking exposure, which is why pack-years, ongoing smoking status, and years since quitting are central to screening discussions.
Risk-based screening strategies often use validated models such as the **PLCOm** family to estimate an individual's probability of developing lung cancer over a defined period. Those validated models incorporate more detail than this page does. In parallel, practical screening recommendations such as the current **USPSTF screening guideline** use age and smoking exposure thresholds to decide who should be offered annual low-dose CT (LDCT) screening.
This calculator is a simplified educational worksheet. It combines the major smoking-related risk factors already encoded in the page, generates a rough risk tier, and separately checks screening eligibility against published criteria. It is useful for understanding how the factors interact, but it should not be treated as a validated PLCOm replacement or as a final screening decision by itself.
Smoking history is one of the strongest modifiable predictors of lung cancer risk, but screening eligibility still depends on age, pack-years, quit time, and other clinical factors. This calculator keeps those pieces together so risk can be viewed both as a rough probability estimate and as a screening-eligibility check.
Simplified risk model incorporating age, pack-years, smoking status, years quit, COPD, family history, prior cancer, sex, and BMI. USPSTF Screening Criteria: Age 50โ80 AND โฅ 20 pack-years AND (ongoing smoking OR quit โค 15 years ago). Pack-years = (cigarettes per day / 20) ร years smoked.Result: Moderate Risk (~3.5%), meets USPSTF screening criteria
A 60-year-old smoker with 30 pack-years and COPD scores as moderate risk in this pageโs simplified worksheet. The same input also meets USPSTF screening criteria because age is 50โ80, pack-years are at least 20, and the person still smokes.
Pack-years capture both intensity and duration of smoking exposure, which is why they are more informative than cigarettes per day alone. A long smoking history with fewer cigarettes can still produce substantial risk, especially when COPD or family history is also present.
A calculated risk estimate and LDCT screening eligibility are related but not identical questions. Someone can be above a risk threshold without meeting USPSTF criteria, or meet screening criteria with a risk estimate that still needs clinical context. That makes the calculator useful as a discussion aid, not a replacement for clinician review.
The value of the model is in identifying the group most likely to benefit from annual CT screening while keeping lower-risk smokers from unnecessary follow-up scans. That balance matters because the screening program itself has tradeoffs, including false positives and incidental findings.
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This page uses a simplified internal scoring model built from major smoking-related risk factors such as age, pack-years, smoking status, years since quitting, COPD history, family history, prior cancer, sex, and BMI. The percentage output is a worksheet-style approximation, not a validated PLCOm or LCRAT calculation. Separately, the page checks the entered history against published low-dose CT screening criteria so that risk-factor education and screening eligibility are not conflated.
Pack-years = (packs smoked per day) ร (years of smoking). For example, 1 pack/day for 20 years = 20 pack-years. Two packs/day for 15 years = 30 pack-years.
Per current USPSTF guidance, adults 50โ80 years old with at least a 20 pack-year history who still smoke or quit within 15 years should be considered for annual LDCT screening. The purpose is to find cancers early enough to treat while avoiding unnecessary imaging in lower-risk people.
Yes. Risk begins to decline after quitting, though it never returns to never-smoker levels. Even after long abstinence, risk can remain meaningfully above that of never-smokers.
This is a simplified educational model. For clinical decisions, use validated tools such as PLCOm or LCRAT rather than this worksheet-style estimate.
Yes. About 10โ15% of lung cancers occur in never-smokers, often driven by radon exposure, secondhand smoke, occupational carcinogens, or genetic factors.
Low-dose computed tomography uses reduced radiation (1.5 mSv vs 7 mSv for standard CT) to image the lungs. It can detect small nodules potentially representing early-stage cancer.
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