Determination of the optimal acquisition protocol of breath-hold PET/CT for the diagnosis of thoracic lesions

Mitsumoto, Katsuhiko; Abe, Koichiro; Sakaguchi, Yuichi; Zhang, Tiejiao; Tachiya, Yosuke; Ohya, Nobuyoshi; Baba, Shingo; Sasaki, Masayuki

doi:10.1097/mnm.0b013e32834bbda7

Cited by 11 publications

(8 citation statements)

References 24 publications

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“…Liver profiles and kidney VOIs also identified characteristics of respiratory motion. On the other hand, we did not see significant change in SUV in the kidneys between gated and ungated scans, which may have been expected from analogous studies assessing lung lesions [21,34]. We suspect that kidney motion and uptake were not sufficient to show this effect.…”

Section: Discussionsupporting

confidence: 50%

“…While strategies for optimized data binning have been presented [11,21], the primary efforts for full data utilization use nonlinear deformation maps to map information from different gates to a target gate, essentially recombining the gates back into a single motion-free frame with high resolution and high count statistics [22-24]. Limitations of these techniques are that they can be complex, parameter and distribution dependent, prone to error, difficult to fully characterize, and some require heavy processing [25,26].…”

Section: Introductionmentioning

confidence: 99%

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Gating, enhanced gating, and beyond: information utilization strategies for motion management, applied to preclinical PET

et al. 2013

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BackgroundRespiratory gating and gate optimization strategies present solutions for overcoming image degradation caused by respiratory motion in PET and traditionally utilize hardware systems and/or employ complex processing algorithms. In this work, we aimed to advance recently emerging data-driven gating methods and introduce a new strategy for optimizing the four-dimensional data based on information contained in that data. These algorithms are combined to form an automated motion correction workflow.MethodsSoftware-based gating methods were applied to a nonspecific population of 84 small-animal rat PET scans to create respiratory gated images. The gated PET images were then optimized using an algorithm we introduce as ‘gating+’ to reduce noise and optimize signal; the technique was also tested using simulations. Gating+ is based on a principle of only using gated information if and where it adds a net benefit, as evaluated in temporal frequency space. Motion-corrected images were assessed quantitatively and qualitatively.ResultsOf the small-animal PET scans, 71% exhibited quantifiable motion after software gating. The mean liver displacement was 3.25 mm for gated and 3.04 mm for gating+ images. The (relative) mean percent standard deviations measured in background ROIs were 1.53, 1.05, and 1.00 for the gated, gating+, and ungated values, respectively. Simulations confirmed that gating+ image voxels had a higher probability of being accurate relative to the corresponding ungated values under varying noise and motion scenarios. Additionally, we found motion mapping and phase decoupling models that readily extend from gating+ processing.ConclusionsRaw PET data contain information about motion that is not currently utilized. In our work, we showed that through automated processing of standard (ungated) PET acquisitions, (motion-) information-rich images can be constructed with minimal risk of noise introduction. Such methods have the potential for implementation with current PET technology in a robust and reproducible way.

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Section: Discussionsupporting

confidence: 50%

Section: Introductionmentioning

confidence: 99%

Gating, enhanced gating, and beyond: information utilization strategies for motion management, applied to preclinical PET

et al. 2013

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“…In the histograms, the peaks were broad and unclear because of the smearing of radioactivity due to respiratory motion. The peaks could not be separated from each other and thus the resulting CSH curves of the 3 phantoms showed a similar pattern [12,13,17]. In the fractal analysis, the FDs of the HO and HE1 phantoms did not differ from each other and were smaller than that of the HE2 phantom.…”

Section: Discussionmentioning

confidence: 94%

“…Although these methods have been reported to be useful for the evaluation of malignant tumors in the clinical setting [6,7], it has been suggested that factors such as partial volume effect (PVE) and image noise may influence the results [7]. In lung cancer, respiratory motion causes the deterioration of image quality and reduces FDG uptake due to image blurring [12,13]. It is, therefore, possible that respiratory motion influences the results of analyses for the intratumoral heterogeneity of 18 F-FDG uptake.…”

Section: Introductionmentioning

confidence: 99%

The influence of respiratory motion on the cumulative SUV-volume histogram and fractal analyses of intratumoral heterogeneity in PET/CT imaging

et al. 2016

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“…Several bhPET studies have focused on lung carcinoma, but only a few have addressed abdominal diseases, and—to our knowledge—none has explicitly reported on melanoma lesions. Also, all available studies describe SUV max as quantitative marker, [10,14,15] but only a few mention the metabolic volume [10,16–18] or the SUV mean . [10] In chest lesions, for example, the SUV max at bhPET has proven 32.5% higher than at fbPET.…”

Section: Discussionmentioning

confidence: 99%

Breath-hold and free-breathing F-18-FDG-PET/CT in malignant melanoma—detection of additional tumoral foci and effects on quantitative parameters

Bärwolf

Zirnsak²,

Freesmeyer³

2017

Medicine

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During PET/CT acquisition, respiratory motion generates artifacts in the form of breath-related blurring, which may impair lesion detectability and diagnostic accuracy. This observational study was undertaken to verify whether breath-hold F-18-FDG-PET/CT (bhPET) detects additional foci compared to free-breathing PET/CT (fbPET) in cases of malignant melanoma, and to assess the impact of breath-holding on standard uptake values (SUV) and metabolic isocontoured volume (mVic40).Thirty-four patients with melanoma were examined. BhPET and fbPET findings of 117 lesions were compared and correlated with standard contrast-enhanced (ce) CT and MRI for lesion verification. Quantitative parameters (SUVmax, SUVmean, and mVic40) were assessed for both methods and evaluated by linear regression and Spearman correlation. The impact of lesion size and time interval between investigations was analyzed.In 1 patient, a CT-confirmed liver metastasis was seen only on bhPET but not on fbPET. At bhPET, SUVmax, and SUVmean proved significantly higher and mVic40 significantly lower than at fbPET. The positive effect on SUVmax and SUVmean was more pronounced in smaller lesions, whereas the time interval between bhPET and fbPET did not influence SUV or mVic40.In our patient cohort, bhPET yielded significantly higher SUV and provided improved volumetric lesion definition, particularly of smaller lesions. Also one additional liver lesion was identified. Breath-hold PET/CT is technically feasible, and may become clinically useful when fine quantitative evaluations are needed.

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Determination of the optimal acquisition protocol of breath-hold PET/CT for the diagnosis of thoracic lesions

Abstract: BH-PET/CT improved the misregistration between PET and CT images and increased the SUVmax of thoracic lesions. The recommended number of BH-PET images for summation with 20 s of acquisition time is three or more.

Cited by 11 publications

References 24 publications

Gating, enhanced gating, and beyond: information utilization strategies for motion management, applied to preclinical PET

Gating, enhanced gating, and beyond: information utilization strategies for motion management, applied to preclinical PET

The influence of respiratory motion on the cumulative SUV-volume histogram and fractal analyses of intratumoral heterogeneity in PET/CT imaging

Breath-hold and free-breathing F-18-FDG-PET/CT in malignant melanoma—detection of additional tumoral foci and effects on quantitative parameters

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