AI Article Synopsis

  • This study compared two types of medical scans, PET and SPECT, to see how well they measure how well the lungs work in people with serious breathing problems.
  • Five patients were tested using both types of scans to look for differences in how the lung images showed airflow.
  • The researchers found that PET scans showed better results in some patients, and they discovered important details about how these scans relate to lung function.

Article Abstract

The aim of this study was quantitative comparison between Ga-Gallgas positron emission tomography (PET) and Tc-Technegas single photon emission computed tomography (SPECT) for lung ventilation function assessment in patients with moderate-to-severe obstructive pulmonary disease and to identify image-derived texture features correlating to the physiologic parameters. Five patients with moderate-to-severe chronic obstructive pulmonary disease with PET and SPECT lung ventilation scans were selected for this study. Threshold-based segmentations were used to compare ventilated regions between both imaging techniques. Histograms of both scans were compared to reveal main differences in distributions of radiotracers. Volumes of segmentation as well as 50 textural features measured in the pulmonary region were correlated to the forced expiratory volume in 1 s (FEV1) as the relevant physiological variable. A better peripheral distribution of the radiotracer was observed in PET scans for three out of five patients. A segmentation threshold of 27% and 31% for normalized scans, for PET and SPECT respectively, was found optimal for volume correlation with FEV1. A high correlation (Pearson correlation coefficient >0.9) was found between 16 texture features measured from SPECT and 7 features measured from PET and FEV1. Quantitative measurements revealed different tracer distribution in both techniques. These results suggest that tracer distribution patterns may depend on the cause of the pulmonary obstruction. We found several texture features measured from SPECT to correlate to FEV1.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6714146PMC
http://dx.doi.org/10.4103/wjnm.WJNM_45_18DOI Listing

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