Method and system for measuring lung tissue damage and disease risk
This invention relates to a method, system, and devices relating to quantitatively measuring regional lung tissue damage by combining the CT scan measurements of the mineral density deviations and/or mineral composition deviations in airway tissue, with the measurements of airflow lung function measurements.
1. A method of using a computer processor to assess an individual against lung disease risk comprising: receiving data representing lung X-ray images of an individual, using said data to calculate an X-ray attenuation score from one or more measurements of a density deviation at one or more airway bifurcation locations compared to a density value at a region surrounding the bifurcation, combining the X-ray attenuation score with a lung function score of the individual calculated from one or more lung function measurement tests selected from the group consisting of a CT lung function analysis, a spirometry test, a lung ventilation scan, a lung perfusion scan, and a pH value from an exhaled breath condensate test, and assessing of the individual against a lung disease risk index based on said combined X-ray attenuation score and lung function score.
2. The method of claim 1 , further comprising wherein the spirometry test is FEV1/FVC.
3. The method of claim 1 , further comprising wherein the CT lung function analysis includes a CT wall thickness measurement, emphysema measurement, or both.
4. The method of claim 1 , further comprising wherein the X-ray attenuation score is obtained from an imaging modality selected from the group consisting of a CT scan, chest X-ray, digital radiography, X-ray tomosynthesis, and computer aided X-ray radiography.
5. The method of claim 1 , further comprising wherein the density deviation is a measure of calcification, particle deposition, ossification, or combinations thereof.
6. The method of claim 1 , further comprising the steps of measuring over time the lung disease risk index and establishing a disease trajectory for the individual.
7. The method of claim 5 , further comprising the steps of measuring over time the lung disease risk index and establishing a trajectory for the individual.
8. The method of claim 5 , wherein the CT lung function scan includes measurements of a shape change in the one or more bifurcations comprising a thickening of the lung tissue at the bifurcation or surrounding tissue, or a loss of tissue or hole in the lung tissue at the bifurcation or surrounding tissue.
9. The method of claim 1 , further comprising wherein measuring density deviations further comprises measuring the sum of the logs of maximum HU density deviations from nearby low exposure regions along the airway tree in a CT scan.
10. The method of claim 1 , further comprising wherein the lung disease risk index is a lung cancer risk index.
11. The method of claim 1 , further comprising the step of identifying locations that represent high lung cancer risk.
12. The method of claim 1 , further comprising the step of identifying specific lung regions or lobes that represent high lung cancer risk by calculating a region-specific or lobe-specific lung cancer risk index by combining a region-specific X-ray attenuation score with a region-specific lung function score, wherein the region-specific X-ray attenuation score is obtained by applying a lung region-specific classifier to the X-ray attenuation score to identify lung region-specific data subsets of bifurcation locations, and the region-specific lung function score is obtained by modifying the lung function score based upon factors affecting regional airflow.
13. An imaging system for lung disease, comprising: an X-ray imaging modality; and a computer programmed to: receive data representing lung X-ray images of an individual, use said data to calculate an X-ray attenuation score from one or more measurements of a density deviation at one or more airway bifurcation locations compared to a density value at a region surrounding the bifurcation, and combine the X-ray attenuation score with a lung function score of the individual calculated from one or more lung function measurement tests selected from the group consisting of a CT lung function analysis, a spirometry test, a lung ventilation scan, a lung perfusion scan, and a pH value from an exhaled breath condensate test, wherein said combined X-ray attenuation score and lung function score provides an assessment of the individual against a lung disease risk index.
14. A method for preparing a data set that provides an estimation of a patient's lung cancer risk, using the imaging system of claim 13 , comprising:
(i) obtaining a measurement of the pH of the lung using an exhaled breath condensate (EBC) device;
(ii) obtaining results of a pulmonary function test obtained by spirometry;
(iii) obtaining a measurement of the level of X-ray attenuation in the airways and calculating a bifurcation damage index (BDI); and,
(iv) combining the pH, spirometry, and X-ray attenuation into a single lung cancer risk index.
15. The method of claim 14 , further comprising the step of applying a classifier to the distribution of measurements to separate lung cancer risk levels and patient sub-populations, COPD patient populations, individuals at risk and patients having other pulmonary related diseases.
16. The imaging system of claim 13 , further comprising wherein the imaging modality is selected from the group consisting of a CT scan, chest X-ray, digital radiography, X-ray tomosynthesis, and computer aided X-ray radiography.
17. The imaging system of claim 13 , further comprising wherein the density deviation is a measurement of calcification, particle deposition, ossification, or combinations thereof.
18. The system of claim 13 , further comprising wherein the imaging modality is a multiple energy CT scan and provides features to further distinguish individual response to exposure.
19. The system of claim 13 , further comprising wherein the computer is programmed to compare changes between one or more assessments of lung cancer risk index.
20. The system of claim 13 , further comprising wherein combining measurements into a lung cancer risk index further comprises adjusting the metric for additional clinical data such as age, gender, smoking history, comorbidity, and family history.
21. A non-transitory computer readable medium, comprising software code portions for implementing the steps of the method as set forth in claim 1 , when said medium is run on a digital computer.