Abstract
This article contains the data showing illustrative examples of plaque classification on coronary computed tomography angiography (CCTA) and measurement of 18F-sodium fluoride (18F-NaF) uptake in coronary atherosclerotic lesions on positron emission tomography (PET). We divided the lesions into one of three plaque types on CCTA (calcified plaque, non-calcified plaque, partially calcified plaque). Focal 18F-NaF uptake of each lesion was quantified using maximum tissue-to-background ratio. This article also provides a representative case with a non-calcified coronary plaque detected on CCTA and identified on 18F-NaF PET/non-contrast computed tomography based on a location of a vessel branch as a landmark. These complement the data reported by Kitagawa et al. (2017) [1].
Highlights
This article contains the data showing illustrative examples of plaque classification on coronary computed tomography angiography (CCTA) and measurement of 18F-sodium fluoride (18F-NaF) uptake in coronary atherosclerotic lesions on positron emission tomography (PET)
Clinical images Computed tomography scan (Aquilion One; Toshiba Medical Systems, Tokyo, Japan), positron emission tomography scan (Discovery ST Elite-Performance; GE Healthcare, Waukesha, WI, USA) Raw and analyzed data The data for reconstruction of clinical images were acquired with electrocardiogram-gated scan
The data represent the illustrative examples of plaque classification on coronary computed tomography angiography (CCTA)
Summary
This article contains the data showing illustrative examples of plaque classification on coronary computed tomography angiography (CCTA) and measurement of 18F-sodium fluoride (18F-NaF) uptake in coronary atherosclerotic lesions on positron emission tomography (PET). Clinical images (computed tomography, positron emission tomography) Computed tomography scan (Aquilion One; Toshiba Medical Systems, Tokyo, Japan), positron emission tomography scan (Discovery ST Elite-Performance; GE Healthcare, Waukesha, WI, USA) Raw and analyzed data The data for reconstruction of clinical images were acquired with electrocardiogram-gated scan. All reconstructed image data were transferred and analyzed with offline workstations.
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