Image quality and lesion detectability in low-dose pediatric 18F-FDG scans using total-body PET/CT

Zhao, Yixia; Li, Ying-He; Chen, Tao; Zhang, Weiguang; Wang, Linhao; Feng, Jiatai; Li, Chenwei; Fan, Wei; Hu, Yingying

doi:10.1007/s00259-021-05304-4

Cited by 61 publications

(44 citation statements)

References 36 publications

(34 reference statements)

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“…Paediatric patients are frequently diagnosed with malignant diseases that are characterised by a diffuse pattern of involvement. For example, haematological malignancies, such as lymphomas and leukaemia, which involve both bone marrow and associated organs (e.g., lymph nodes and spleen) [20], account for a large proportion of paediatric cancers. Apart from reducing injected dose, the faster scanning option of a LAFOV PET/CT may also be useful in children, as it can help reduce motion artefacts and it may limit the need for anaesthesia, which is a substantial additional obstacle for performing repeated PET/CT scans during a course of treatment.…”

Section: Paediatric Imagingmentioning

confidence: 99%

Long axial field of view PET scanners: a road map to implementation and new possibilities

Slart

Tsoumpas

Glaudemans

et al. 2021

Eur J Nucl Med Mol Imaging

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In this contribution, several opportunities and challenges for long axial field of view (LAFOV) PET are described. It is an anthology in which the main issues have been highlighted. A consolidated overview of the camera system implementation, business and financial plan, opportunities and challenges is provided. What the nuclear medicine and molecular imaging community can expect from these new PET/CT scanners is the delivery of more comprehensive information to the clinicians for advancing diagnosis, therapy evaluation and clinical research.

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Section: Paediatric Imagingmentioning

confidence: 99%

Long axial field of view PET scanners: a road map to implementation and new possibilities

Slart

Tsoumpas

Glaudemans

et al. 2021

Eur J Nucl Med Mol Imaging

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“…Our results are robust. The optimization acquisition time was determined through objective analysis instead of subjectivity adjustment [8,20] and it was con rmed in another similar validation group. The MyoSUV and SU were signi cantly equivalent between cardiac OAT image duration and 600-s image duration (P < 0.001).…”

Section: Discussionmentioning

confidence: 99%

Intravenous insulin administration preparation for myocardial 18F-fluorodeoxyglucose viability imaging has the potential to reduce radiation exposure dose

Chen

Wang

Huang

et al. 2021

Preprint

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Purpose This study aimed to identify and validate the optimal 18F-FDG activity and acquisition time for cardiac viability imaging with intravenous insulin administration based on a fixed 18F-FDG activity. Methods Cardiac positron emission tomography (PET) images from 30 patients with coronary artery disease (CAD) were retrospectively reconstructed into 900, 360, 180, 90, and 45 s durations. An optimal product of the maximum standardized uptake value (SUV) of the myocardium and segmental uptake (SU) and acquisition time (MSAT) was determined through a receiver operating characteristic curve. The optimal acquisition time (OAT) was equal to MSAT divided by mean SUV of the myocardium (MyoSUV) and validated in another 26 patients with CAD. Results The MyoSUV, mean SUV of the blood, SU, and their biases on reconstructed image durations of 90, 180, and 360 s were equivalent to those on an image duration of 900 s. The optimal MSAT was 848.2. In the validation group, the OAT was 129 ± 76 s (95% confidence interval, 99–160), approximately one-third of the usual acquisition time. The MyoSUV and SU were equivalent for the difference (0.15 ± 0.21, P < 0.001; −0.01 ± 0.03, P < 0.001) between PET image duration of OAT and 600 s (7.71 ± 3.01 vs. 7.56 ± 2.94, 67.1 ± 15.4% vs. 67.7 ± 15.6%). Conclusion Intravenous insulin administration preparation has the potential to reduce radiation exposure and acquisition time of cardiac 18F-FDG viability imaging without losing the accurate measurement of MyoSUV and SU when reaching an OAT.

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“…Previous studies have been performed with half and even 1/10 of the dose on both oncological patients and healthy volunteers, and demonstrated the feasibility of low-dose and ultra-low-dose using the TB PET scanner [24][25][26][27][28]. However, up to now, there are only a limited number of TB or LAFOV PET/CT scanners available worldwide.…”

Section: Discussionmentioning

confidence: 99%

Can a Deep Progressive Learning Method Help to Achieve High Image Quality as Total-body PET Imaging?

Wang

Qiao

Wang

et al. 2021

Preprint

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Purpose To propose and validate a total-body PET (TB-PET) guided deep progressive learning method (DPR) for low-dose clinical imaging of standard axial field-of-view PET/CT scanner (SAFOV-PET).Methods List-mode raw data from a total of 182 scans were collected, including 100 patient scans from a TB-PET, and 15 phantom and 67 patient scans from a SAFOV-PET. Neural networks employed in DPR were trained with the high-quality images obtained from the TB-PET using a progressive learning strategy and evaluated on a SAFOV-PET through three stages of studies. The CTN phantom was firstly used to verify the effectiveness of protocols in DPR and OSEM algorithms. Subsequently, list-mode rawdata from retrospective and prospective PET oncological patients (n=26 and 41, respectively) were rebinned into short duration scans (referred as to DPR_full, DPR_1/2, DPR_1/3, and DPR_1/4), and reconstructed with DPR. Full-duration data were reconstructed with OSEM to generate images as a reference. In the retrospective study, the image quality was evaluated using the metrics of standard uptake value (SUV) and target-to-liver ratio (TLR) in lesions, and coefficient of variation (COV) in the liver, which provided evidence for the subsequent study with real-world low-dose injection. In the prospective study, the quantification accuracy was evaluated with the agreement of SUVs in the liver, the blood pool, and the muscle between the DPR and the OSEM images. Quantitative analysis was also performed with the SUV and the TLR in lesions, furthermore on small lesions with a diameter no more than 10mm. In addition, qualitative analysis was performed using a 5-point Likert scale on the following perspectives: contrast, noise, and diagnostic confidence. Results The protocols used in the study were verified to meet the EANM EARL2 requirements. In the retrospective study, the DPR group with one-third acquisition time can yield a comparable image quality to the reference. In the prospective study, good agreement of the SUVs between DPR and OSEM was found in all the selected background tissues even if the injected dose was reduced to 1/3. Both quantitative and qualitative results demonstrated that the DPR_1/3 group showed no significant difference with the reference regarding the liver COV and subjective scores. The lesion SUVs and TLRs in the DPR_1/3 group were significantly enhanced compared with the reference, even for small lesions. Conclusions The proposed DPR method can reduce the injected dose of SAFOV-PET scan by up to 2/3 in a real-world deployment while maintaining image quality.

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Image quality and lesion detectability in low-dose pediatric 18F-FDG scans using total-body PET/CT

Cited by 61 publications

References 36 publications

Long axial field of view PET scanners: a road map to implementation and new possibilities

Long axial field of view PET scanners: a road map to implementation and new possibilities

Intravenous insulin administration preparation for myocardial 18F-fluorodeoxyglucose viability imaging has the potential to reduce radiation exposure dose

Can a Deep Progressive Learning Method Help to Achieve High Image Quality as Total-body PET Imaging?

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