ArticleEJNMMI physics2021
Data-driven gated PET/CT: implications for lesion segmentation and quantitation.
Article in EJNMMI physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Data-driven gated positron emission tomography/computed tomography for radiotherapy.Physics and imaging in radiation oncology · 2024Review
- New full-counts phase-matched data-driven gated (DDG) PET/CT.Medical physics · 2024Article
- Correcting CT misregistration in data-driven gated (DDG) PET with PET self-gating and deformable image registration.Medical physics · 2024Article
- Reproducibility of the principal component analysis (PCA)-based data-driven respiratory gating on texture features in non-small cell lung cancer patients withJournal of applied clinical medical physics · 2023Article
- Data-driven gated CT: An automated respiratory gating method to enable data-driven gated PET/CT.Medical physics · 2022Article
- Impact of acquisition time and misregistration with CT on data-driven gated PET.Physics in medicine and biology · 2022Article
- Effects of Respiratory Motion on Y-90 PET Dosimetry for SIRT.Diagnostics (Basel, Switzerland) · 2022Article
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2 authors.
Funding
Abstract
backgroundData-driven gating (DDG) can improve PET quantitation and alleviate many issues with patient motion. However, misregistration between DDG-PET and CT may occur due to the distinct temporal resolutions of PET and CT and can be mitigated by DDG-CT. Here, the effects of misregistration and respiratory motion on PET quantitation and lesion segmentation were assessed with a new DDG-PET/CT method.
methodsA low-dose cine-CT was acquired in misregistered regions to enable both average CT (ACT) and DDG-CT. The following were compared: (1) baseline PET/CT, (2) PET/ACT (attenuation correction, AC = ACT), (3) DDG-PET (AC = helical CT), and (4) DDG-PET/CT (AC = DDG-CT). For DDG-PET, end-expiration (EE) data were derived from 50% of the total PET data at 30% from end-inspiration. For DDG-CT, EE phase CT data were extracted from cine-CT data by lung Hounsfield unit (HU) value and body contour. A total of 91 lesions from 16 consecutive patients were assessed for changes in standard uptake value (SUV), lesion glycolysis (LG), lesion volume, centroid-to-centroid distance (CCD), and DICE coefficients.
resultsRelative to baseline PET/CT, median changes in SUV
conclusionAs misregistration becomes more prominent, the impact of motion correction with DDG-PET is diminished. The potential benefits of DDG-PET toward accurate lesion segmentation and quantitation could only be fully realized when combined with DDG-CT. These results impress upon the necessity of ensuring both misregistration and motion correction are accounted for together to optimize the clinical utility of PET/CT.
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