Data-driven gated PET/CT: implications for lesion segmentation and quantitation

Thomas, Matthew A.; Pan, Tinsu

doi:10.1186/s40658-021-00411-5

Cited by 11 publications

(22 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Instead, it can increase or decrease SUV max . For instance, we found that both motion correction and improved AC (either average CT or DDG CT) increased SUV max above any amount expected from noise with 50% reduced counts 20 . Separating the combined effects of motion correction, noise from reduced counts, and improved AC with DDG CT is not straightforward and would be part of other separate work, which is currently taking place.…”

Section: Discussionmentioning

confidence: 91%

“…There was an increase in DDG PET image noise because it only retains 50% of the data used in routine PET. However, the increases in maximum standard uptake value (SUV max ) for tumors that are observed in our DDG PET/CT method originate from both motion correction (DDG PET) and improved registration from DDG CT rather than from the use of 50% of PET data 20 …”

Section: Methodsmentioning

confidence: 96%

“…Compared with EDG PET, DDG PET offers an improved workflow without any setup time and less radiation exposure to the technologist. We recently showed the importance of matching DDG PET with an appropriate CT for accurate attenuation correction (AC) and DDG PET/CT registration, as it impacts nearly all aspects of quantitative tumor metrics used in staging, treatment planning, and response assessment 20 . The recent results associated with the realization of clinical DDG PET have made the use of EDG CT to match PET and CT data come into question: “Can DDG CT replace EDG CT in the same way DDG PET is replacing EDG PET?”…”

Section: Introductionmentioning

confidence: 99%

“…We recently showed the importance of matching DDG PET with an appropriate CT for accurate attenuation correction (AC) and DDG PET/CT registration, as it impacts nearly all aspects of quantitative tumor metrics used in staging, treatment planning, and response assessment. 20 The recent results associated with the realization of clinical DDG PET have made the use of EDG CT to match PET and CT data come into question: "Can DDG CT replace EDG CT in the same way DDG PET is replacing EDG PET?" DDG CT was suggested in an early implementation of 4D CT in the form of tracking the sum of pixels in an ROI.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Data‐driven gated CT: An automated respiratory gating method to enable data‐driven gated PET/CT

2022

Self Cite

View full text Add to dashboard Cite

Background The accuracy of positron emission tomography (PET) quantification and localization can be compromised if a misregistered computed tomography (CT) is used for attenuation correction (AC) in PET/CT. As data‐driven gating (DDG) continues to grow in clinical use, these issues are becoming more relevant with respect to solutions for gated CT. Purpose In this work, a new automated DDG CT method was developed to provide average CT and DDG CT for AC of PET and DDG PET, respectively. Methods An automatic DDG CT was developed to provide the end‐expiratory (EE) and end‐inspiratory (EI) phases of images from low‐dose cine CT images, with all phases being averaged to generate an average CT. The respiratory phases of EE and EI were determined according to lung region Hounsfield unit (HU) values and body outline contours. The average CT was used for AC of baseline PET and DDG CT at EE phase was used for AC of DDG PET at the quiescent or EE phase. The EI and EE phases obtained with DDG CT were used for assessing the magnitude of respiratory motion. The proposed DDG CT was compared to two commercial CT gating methods: (1) 4D CT (external device based) and (2) D4D CT (DDG based) in 38 patient datasets with respect to respiratory phase image selection, lung HU, lung volume, and image artifacts. In a separate set of twenty consecutive PET/CT studies containing a mix of 18F‐FDG, 68Ga‐Dotatate, and 64Cu‐Dotatate scans, the proposed DDG CT was compared with D4D CT for impacts on registration and quantification in DDG PET/CT. Results In the EE phase, the images selected by DDG CT and 4D CT were identical 62.5% ± 21.6% of the time, whereas DDG CT and D4D CT were 6.5% ± 9.7%, and 4D CT and D4D CT were 8.6% ± 12.2%. These differences in EE phase image selection were significant (p < 0.0001). In the EI phase, the images selected by DDG CT and 4D CT were identical 68.2% ± 18.9% of the time, DDG CT and D4D CT were 63.9% ± 18.8%, and 4D CT and D4D CT were 61.2% ± 19.8%. These differences were not significant. The mean lung HU and volumes were not statistically different (p > 0.1) among the three methods. In some studies, DDG CT was better than D4D or 4D CT in the appropriate selection of the EE and EI phases, and D4D CT was found to reverse the EE and EI phases or not select the correct images by visual inspection. A statistically significant improvement of DDG CT over D4D CT for AC of DDG PET was also demonstrated with PET quantification analysis. When irregular breath cycles were present in the cine CT, DDG CT could be used to replace average CT for the improved AC of baseline PET. Conclusion A new automatic DDG CT was developed to tackle the issues of misregistration and tumor motion in PET/CT imaging. DDG CT was significantly more consistent than D4D CT in selecting the EE phase images as the clinical standard of 4D CT. When compared to both commercial gated CT methods of 4D CT and D4D CT, DDG CT appeared to be more robust in the lower lung and upper diaphragm regions where misregistration and tumor motion often occur. ...

show abstract

Section: Discussionmentioning

confidence: 91%

Section: Methodsmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Data‐driven gated CT: An automated respiratory gating method to enable data‐driven gated PET/CT

2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…While data-driven respiratory gating methods for both 90 Y PET and CT are yet to be robustly implemented in clinical practice, it may be appropriate to perform device-based gating of both the PET and the CT components of post-SIRT therapy PET-CT verification imaging. Accurate alignment of CT and PET images within the quiescent phase has been shown to be important for quantification using 18 F and 68 Ga PET-CT [ 28 ], and this is expected to apply equally to 90 Y imaging.…”

Section: Discussionmentioning

confidence: 99%

Effects of Respiratory Motion on Y-90 PET Dosimetry for SIRT

et al. 2022

View full text Add to dashboard Cite

Respiratory motion degrades the quantification accuracy of PET imaging by blurring the radioactivity distribution. In the case of post-SIRT PET-CT verification imaging, respiratory motion can lead to inaccuracies in dosimetric measures. Using an anthropomorphic phantom filled with 90Y at a range of clinically relevant activities, together with a respiratory motion platform performing realistic motions (10–15 mm amplitude), we assessed the impact of respiratory motion on PET-derived post-SIRT dosimetry. Two PET scanners at two sites were included in the assessment. The phantom experiments showed that device-driven quiescent period respiratory motion correction improved the accuracy of the quantification with statistically significant increases in both the mean contrast recovery (+5%, p = 0.003) and the threshold activities corresponding to the dose to 80% of the volume of interest (+6%, p < 0.001). Although quiescent period gating also reduces the number of counts and hence increases the noise in the PET image, its use is encouraged where accurate quantification of the above metrics is desired.

show abstract

Reproducibility of the principal component analysis (PCA)‐based data‐driven respiratory gating on texture features in non‑small cell lung cancer patients with ¹⁸F‑FDG PET/CT

Fukai

Daisaki

Ishiyama

et al. 2023

J Applied Clin Med Phys

View full text Add to dashboard Cite

Objective: Texture analysis is one of the lung cancer countermeasures in the field of radiomics. Even though image quality affects texture features, the reproducibility of principal component analysis (PCA)-based data-driven respiratory gating (DDG) on texture features remains poorly understood. Hence, this study aimed to clarify the reproducibility of PCA-based DDG on texture features in non-small cell lung cancer (NSCLC) patients with 18 F-Fluorodeoxyglucose ( 18 F-FDG) Positron emission tomography/computed tomography (PET/CT). Methods: Twenty patients with NSCLC who underwent 18 F-FDG PET/CT in routine clinical practice were retrospectively analyzed. Each patient's PET data were reconstructed in two PET groups of no gating (NG-PET) and PCAbased DDG gating (DDG-PET). Forty-six image features were analyzed using LIFEx software. Reproducibility was evaluated using Lin's concordance correlation coefficient (𝜌 c ) and percentage difference (%Diff). Non-reproducibility was defined as having unacceptable strength (𝜌 c < 0.8) and a %Diff of >10%. NG-PET and DDG-PET were compared using the Wilcoxon signed-rank test. Results: A total of 3/46 (6.5%) image features had unacceptable strength, and 9/46 (19.6%) image features had a %Diff of >10%. Significant differences between the NG-PET and DDG-PET groups were confirmed in only 4/46 (8.7%) of the high %Diff image features. Conclusion:Although the DDG application affected several texture features, most image features had adequate reproducibility. PCA-based DDG-PET can be routinely used as interchangeable images for texture feature extraction from NSCLC patients. K E Y W O R D S18F-FDG, data-driven respiratory gating, image feature, non-small cell lung cancer, PET/CT, texture analysis, texture featureThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

Data-driven gated PET/CT: implications for lesion segmentation and quantitation

Cited by 11 publications

References 32 publications

Data‐driven gated CT: An automated respiratory gating method to enable data‐driven gated PET/CT

Data‐driven gated CT: An automated respiratory gating method to enable data‐driven gated PET/CT

Effects of Respiratory Motion on Y-90 PET Dosimetry for SIRT

Reproducibility of the principal component analysis (PCA)‐based data‐driven respiratory gating on texture features in non‑small cell lung cancer patients with ¹⁸F‑FDG PET/CT

Contact Info

Product

Resources

About

Data-driven gated PET/CT: implications for lesion segmentation and quantitation

Cited by 11 publications

References 32 publications

Data‐driven gated CT: An automated respiratory gating method to enable data‐driven gated PET/CT

Data‐driven gated CT: An automated respiratory gating method to enable data‐driven gated PET/CT

Effects of Respiratory Motion on Y-90 PET Dosimetry for SIRT

Reproducibility of the principal component analysis (PCA)‐based data‐driven respiratory gating on texture features in non‑small cell lung cancer patients with 18F‑FDG PET/CT

Contact Info

Product

Resources

About

Reproducibility of the principal component analysis (PCA)‐based data‐driven respiratory gating on texture features in non‑small cell lung cancer patients with ¹⁸F‑FDG PET/CT