Positron Emission Mammography Image Interpretation for Reduced Image Count Levels
| Autor: | Leila C. Bender, James Rogers, Carolyn L. Wang, Elizabeth W. Cotter, Paula S. Hallam, Jay R. Parikh, Daniel S. Hippe, Pooja R. Voria, Lawrence R. MacDonald, J. David Beatty, David Haseley, Mary M. Kelly |
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| Rok vydání: | 2015 |
| Předmět: |
Adult
medicine.medical_specialty Time Factors Standard Activity Breast Neoplasms 030218 nuclear medicine & medical imaging Cohort Studies 03 medical and health sciences 0302 clinical medicine Fluorodeoxyglucose F18 Statistical significance medicine Image Processing Computer-Assisted Mammography Positron emission mammography Humans Radiology Nuclear Medicine and imaging Breast Aged Observer Variation medicine.diagnostic_test Lesion detection business.industry Image (category theory) Significant difference Middle Aged ROC Curve Positron emission tomography 030220 oncology & carcinogenesis Positron-Emission Tomography Female Radiology Radiopharmaceuticals business Nuclear medicine Algorithms |
| Zdroj: | Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 57(3) |
| ISSN: | 1535-5667 |
| Popis: | We studied the effects of reduced (18)F-FDG injection activity on interpretation of positron emission mammography (PEM) images and compared image interpretation between 2 postinjection imaging times.We performed a receiver-operating-characteristic (ROC) study using PEM images reconstructed with different count levels expected from injected activities between 23 and 185 MBq. Thirty patients received 2 PEM scans at postinjection times of 60 and 120 min. Half of the patients were scanned with a standard protocol; the others received one-half of the standard activity. Images were reconstructed using 100%, 50%, and 25% of the total counts acquired. Eight radiologists used a 5-point confidence scale to score 232 PEM images for the presence of up to 3 malignant lesions. Paired images were analyzed with conditional logistic regression and ROC analysis to investigate changes in interpretation.There was a trend for increasing lesion detection sensitivity with increased image counts: odds ratios were 2.2 (P = 0.01) and 1.9 (P = 0.04) per doubling of image counts for 60- and 120-min uptake images, respectively, without significant difference between time points (P = 0.7). The area under the ROC curve (AUC) was highest for the 100%-count, 60-min images (0.83 vs. 0.75 for 50%-counts, P = 0.02). The 120-min images had a similar trend but did not reach statistical significance (AUC = 0.79 vs. 0.73, P = 0.1). Our data did not yield significant trends between specificity and image counts. Lesion-to-background ratios increased between 60- and 120-min scans (P0.001).Reducing the image counts relative to the standard protocol decreased diagnostic accuracy. The increase in lesion-to-background ratio between 60- and 120-min uptake times was not enough to improve detection sensitivity in this study, perhaps in part due to fewer counts in the later scan. |
| Databáze: | OpenAIRE |
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