LOD, LOQ and CV: Reading a Quantitative Test's Real Specs
· By Dr. Tang
TL;DR — A spec sheet’s real value is in three numbers: the LOD (limit of detection — the faintest amount it can see), the LOQ (limit of quantitation — the faintest it can measure accurately), and the CV (coefficient of variation — how repeatable the result is, usually as a percentage). The traps are two: LOD and LOQ are not the same thing (detecting is easier than quantifying), and “sensitivity” is used to mean two different things — analytical sensitivity (≈ LOD) and diagnostic sensitivity (the % of true cases caught). A useful rule of thumb: a good quantitative point-of-care test keeps its CV under about 10% and its LOQ comfortably below the clinical decision range. Check all three together — a low LOD with a poor CV is still an unreliable test.
In Plain Terms
A test’s accuracy is not one number; it is three. “Can it see the thing at all?” (LOD), “Can it measure the thing accurately once it sees it?” (LOQ), and “Will it give the same answer twice?” (CV). A spec sheet that only quotes one of these is selling you a partial story.
The Three Numbers, Defined
| Metric | Question it answers | What you want |
|---|---|---|
| LOD (limit of detection) | Can it detect it? | Low enough to catch the faintest clinically relevant amount |
| LOQ (limit of quantitation) | Can it quantify it accurately? | Comfortably below the clinical decision range |
| CV (coefficient of variation) | Is it reproducible? | Under ~10% for a good POCT |
The LOD is the lower bound of detection; the LOQ is the lower bound of accurate measurement; the CV is the precision across repeats. A test needs all three.
The LOD vs LOQ Trap
Here is the confusion that spec-sheet marketing leans on: LOD and LOQ are not the same number. The LOD is always lower — a test can often detect an analyte faintly long before it can quantify it reliably.
Why this matters clinically: you make decisions on numbers, not on “present vs absent.” A test whose LOQ sits above your decision threshold is worse than useless — it will detect the analyte but cannot give you a number you can act on. When you read a spec sheet, find the LOQ, not just the LOD, and check that it sits below the clinical range you care about.
The CV: Precision Is Not Optional
CV measures reproducibility — run the same sample ten times, and CV tells you how much the answers scatter, as a percentage. A CV of 10% means the result is good to within about 10% of its value.
Why precision matters: a test with a poor CV cannot be used for monitoring, because you cannot tell a real change from random scatter. If your CV is 20% and the patient’s value moved 15%, you do not know whether the disease is progressing or the test is just noisy. The <10% CV bar is what makes a quantitative test a monitoring tool, not a one-off guess.
The Two Meanings of “Sensitivity”
This is the single most common misunderstanding in diagnostic specs:
- Analytical sensitivity — how faint a signal the test can detect. This is essentially the LOD.
- Diagnostic sensitivity — the percentage of true cases the test correctly identifies. This is about accuracy against reality, not about faintness.
A test can have an excellent analytical sensitivity (very low LOD) yet mediocre diagnostic sensitivity if it is cross-reacting or noisy. The two are different concepts, and a spec sheet that uses “sensitivity” without saying which one it means is blurring them — sometimes deliberately.
What to Actually Check
When you evaluate a quantitative test, look for four things:
- LOD and LOQ — both, and confirm the LOQ sits below your clinical decision range.
- CV — under ~10% is the working bar for POCT.
- Linear range — the span of concentrations where the result is proportional to the amount; it must cover the clinical range, not just the middle of it.
- Reference interval — the normal range the test was validated against, so you know what “high” and “low” mean.
The combination is what makes a test usable. No single number on the sheet carries the decision alone.
How the Test Runs
- Check the spec sheet for LOD, LOQ, CV, linear range and reference interval.
- Confirm the LOQ sits below the clinical decision range you need.
- Confirm the CV is under ~10% so the test can be used for serial monitoring.
- Use the reference interval to interpret the numeric result in context.
Related products: FIA680 Analyzer · FIA880 Analyzer
FAQ
What is LOD?
The lowest concentration a test can distinguish from zero — “can it detect it?” A lower LOD means fainter detection, but not accurate quantification (the LOQ, typically 2–3× higher, does that).
What is LOQ?
The lowest concentration measurable with acceptable accuracy — always higher than LOD (typically 2–3× the LOD). It is the LOQ you need for decisions.
What is CV?
Precision as a percentage — reproducibility across repeats. Under ~10% is the working bar for a good POCT.
Why do all three matter?
LOD = detect, LOQ = quantify, CV = repeat — 3 questions. A low LOD with a poor CV (>10%) is still unreliable.
Is “sensitivity” the same as low LOD?
No — analytical sensitivity ≈ LOD, diagnostic sensitivity = % of true cases caught. 2 different concepts.
What to check on a spec sheet?
LOD + LOQ (below clinical range), CV (under ~10%), linear range, and reference interval — the combination, not one number.
Key Takeaways
- 3 numbers, 3 questions — LOD (detect), LOQ (quantify), CV (repeat). A spec sheet quoting only 1 is telling a partial story.
- LOD ≠ LOQ — detecting is easier than quantifying, and you decide on the LOQ, not the LOD (the LOQ typically sits 2–3× higher).
- CV under ~10% is the monitoring bar — a test with poor precision cannot tell a real change from random scatter.
- “Sensitivity” has 2 meanings — analytical (≈ LOD) vs diagnostic (% of true cases). Blurring them is a classic spec-sheet trick.
- Check 4 things together — LOD/LOQ, CV, linear range, and reference interval. No single number carries the decision.
References
- Armbruster DA, Pry T. Limit of blank, limit of detection and limit of quantitation. Clin Biochem Rev. 2008.
- Westgard JO. Basic method validation. Westgard QC.
- Linnet K, Kondratovich M. Defining the limits of quantitation.
This content is for educational and product-selection purposes only. Always confirm a test’s LOD, LOQ, CV, linear range and reference interval with the manufacturer before clinical use. Product specifications are as published by Migibio (Guangzhou Magic Biotech Co., Ltd.) and may change.