Diagnosis

There are multiple lobar and segmental ventilation / perfusion mismatches with a normal chest X-ray.  The lung scan is very positive; the posterior probability of pulmonary embolism is high.

Dilemma

Bayes' Theorem

In this case, nuclear medicine physicians have a natural understanding of the probability of pulmonary embolism before and after the lung scan.  However, a dilemma arises in explaining the probabilities using Bayes' Theorem.  Bayes' Theorem relates prior probability of disease, the test result which can be given as a likelihood ratio, and the posterior probability of disease (see for example: Parker JA: Java Calculators for Radiology Applications: Absorbed Dose and Bayes' Theorem. http://ej.rsna.org/EJ_0_96/0054-97.fin/converters.html). Usually, the posterior probability is calculated from the prior probability and the likelihood ratio, but we can use the same Theorem to calculate the likelihood ratio from the prior and posterior probabilities of disease.

Likelihood Ratio from the PIOPED Study

Determining the likelihood ratio for a positive lung scan from the PIOPED data (JAMA 263:2753, 1990) is complicated by the patients in whom pulmonary angiography was not performed and the patients in whom the results of the pulmonary angiography was uncertain; however, no matter which way it is calculated, the high category had a likelihood ratio less than 20.

Calculate Your Estimate for the Likelihood Ratio from Your Prior and Posterior Probabilities of Pulmonary Embolism

Following are some prior probability, test result likelihood ratios and posterior probability combinations:
 
Prior Probability of
Pulmonary Embolism
Likelihood Ratio
for Test Result
Posterior Probability of
Pulmonary Embolism
2% 20 30%
2% 200 80%
5% 20 51%
5% 200 91%
20% 20 83%
20% 200 98%

You can enter your own prior and posterior probabilities of disease and calculate the test likelihood ratio for the combination using the Bayes' calculator in Parker JA: Java Calculators for Radiology Applications: Absorbed Dose and Bayes' Theorem. http://ej.rsna.org/EJ_0_96/0054-97.fin/converters.html.

Most nuclear medicine physicians will enter a very low prior probability of pulmonary embolism and a high posterior probability of pulmonary embolism resulting in a likelihood ratio for the test which is much larger than 20 - much larger than the data from the PIOPED study would suggest.

Possible Explanations for the Dilemma

  1. If your estimates for the prior and posterior probabilities of disease resulted in a reasonable likelihood ratio, then there is no dilemma for you.
  2. The likelihood ratio in this case is much higher than the average positive V/Q scan. There are different degrees of positivity for a V/Q scan.  This very positive test probably has a much higher likelihood ratio than the average high likelihood ratio scan.
  3. Bayes' Theorem assumes that there is no interaction between the patient history and a test outcome.  A young, previously healthy patient is unlikely to have other pulmonary disease, so a positive test is more likely to indicate pulmonary embolism, e.g. "What else could it be?"
  4. The gold standard in the PIOPED study (pulmonary arteriography) is not perfect.  A non perfect gold standard will reduce the apparent accuracy of the study being tested; however, the likelihood ratio, 20, which we have been using for discussion is higher than that calculated form the data, and may compensate for this effect.
  5. In follow up it turns out that the patient did have a family history of pulmonary embolism (see Follow Up). Since she denied a family history of clotting problems at the time of evaluation, this piece of information cannot be used in assessment of prior probability.
Explanation 2 may be the most important, but explanation 3 is probably also important.

Follow Up

The patient was asked about a family history of clotting disorder at the time of initial evaluation, and she did not know of any history.  During hospitalization, it was discovered that there was a history of a grandfather and a great grandfather who both suffered from massive pulmonary embolism, ultimately leading to both their deaths.

The patient did well on treatment with heparin. There was marked improvement on a lung scan performed one week later.
 
PA Chest X-ray Lateral Chest X-ray
Initial
Perfusion Scintigraphy
Perfusion Scan
Perfusion Scintigraphy
Seven Days Later
Follow up Perfusion Scintigarphy

Follow up perfusion scan seven days after presentation shows good resolution of pulmonary embolism.  The right lower lobe has less activity compared to the right upper lobe on follow up; however, the right lower lobe was abnormal initially, and this change may represent apparent worsening do to a drop in pulmonary artery resistance as opposed to recurrent embolism (Moser KM, Am J Med 55:434, 1972).
 

Another Interesting Image

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J. Anthony Parker, MD PhD, Tony_Parker@bidmc.harvard.edu