Evidence map›Paper›PMID 38167538›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2024

The role of dynamic, static, and delayed total-body PET imaging in the detection and differential diagnosis of oncological lesions.

Yaping Wu, Fangfang Fu, Nan Meng, Zhenguo Wang, Xiaochen Li, Yan Bai, Yun Zhou, Dong Liang, Hairong Zheng, Yongfeng Yang and 2 more

Abstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Functional Renal Assessment via Dynamic LAFOVJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  2. Review
  3. Review
  4. Discriminating inflammation from malignancy with short-dynamic patlak parametric 18 F-FDG PET/CT.European journal of nuclear medicine and molecular imaging · 2026
    Article
  5. Next-generation molecular imaging of cardiac fibrosis.The international journal of cardiovascular imaging · 2026
    Review
  6. Article
  7. Review
  8. Article
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  12. Article
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  15. Utilizing temporal information to assess metabolic heterogeneity: a study ofQuantitative imaging in medicine and surgery · 2025
    Article
  16. Review
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yaping WuDepartment of Medical Imaging, Henan Provincial People's Hospital and the People's Hospital of Zhengzhou, University of Zhengzhou, Zhengzhou, Henan, People's Republic of China.
Fangfang FuDepartment of Medical Imaging, Henan Provincial People's Hospital and the People's Hospital of Zhengzhou, University of Zhengzhou, Zhengzhou, Henan, People's Republic of China.
Nan MengDepartment of Medical Imaging, Henan Provincial People's Hospital and the People's Hospital of Zhengzhou, University of Zhengzhou, Zhengzhou, Henan, People's Republic of China.
Zhenguo WangPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, People's Republic of China.
Xiaochen LiDepartment of Medical Imaging, Henan Provincial People's Hospital and the People's Hospital of Zhengzhou, University of Zhengzhou, Zhengzhou, Henan, People's Republic of China.
Yan BaiDepartment of Medical Imaging, Henan Provincial People's Hospital and the People's Hospital of Zhengzhou, University of Zhengzhou, Zhengzhou, Henan, People's Republic of China.
Yun ZhouSchool of Biomedical Engineering, Shanghai Tech University, Shanghai, People's Republic of China.
Dong LiangPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, People's Republic of China.
Hairong ZhengPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, People's Republic of China.
Yongfeng YangPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, People's Republic of China.
Meiyun WangDepartment of Medical Imaging, Henan Provincial People's Hospital and the People's Hospital of Zhengzhou, University of Zhengzhou, Zhengzhou, Henan, People's Republic of China.
Tao SunPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, People's Republic of China. tao.sun@siat.ac.cn.ORCID http://orcid.org/0000-0002-6734-6837

Funding

Chinese Academy of Sciences GJJSTD20180002Guangdong Science and Technology Department 2022A1515110716Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province 2023B1212060052Medical Science and Technology Project of Zhejiang Province 222102310627Medical Science and Technology Research Project of Henan Province SBGJ202101002Shenzhen Science and Technology Innovation Committee 20220531100209020
6 · The paper itself

Abstract

objectivesCommercialized total-body PET scanners can provide high-quality images due to its ultra-high sensitivity. We compared the dynamic, regular static, and delayed 18F-fluorodeoxyglucose (FDG) scans to detect lesions in oncologic patients on a total-body PET/CT scanner. MATERIALS &

methodsIn all, 45 patients were scanned continuously for the first 60 min, followed by a delayed acquisition. FDG metabolic rate was calculated from dynamic data using full compartmental modeling, whereas regular static and delayed SUV images were obtained approximately 60- and 145-min post-injection, respectively. The retention index was computed from static and delayed measures for all lesions. Pearson's correlation and Kruskal-Wallis tests were used to compare parameters.

resultsThe number of lesions was largely identical between the three protocols, except MRFDG and delayed images on total-body PET only detected 4 and 2 more lesions, respectively (85 total). FDG metabolic rate (MRFDG) image-derived contrast-to-noise ratio and target-to-background ratio were significantly higher than those from static standardized uptake value (SUV) images (P < 0.01), but this is not the case for the delayed images (P > 0.05). Dynamic protocol did not significantly differentiate between benign and malignant lesions just like regular SUV, delayed SUV, and retention index.

conclusionThe potential quantitative advantages of dynamic imaging may not improve lesion detection and differential diagnosis significantly on a total-body PET/CT scanner. The same conclusion applied to delayed imaging. This suggested the added benefits of complex imaging protocols must be weighed against the complex implementation in the future. CLINICAL RELEVANCE: Total-body PET/CT was known to significantly improve the PET image quality due to its ultra-high sensitivity. However, whether the dynamic and delay imaging on total-body scanner could show additional clinical benefits is largely unknown. Head-to-head comparison between two protocols is relevant to oncological management.

Indexed as

Fluorodeoxyglucose F18Positron Emission Tomography Computed TomographyDiagnosis, DifferentialHumansPositron-Emission TomographyRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticals18F-fluorodeoxyglucoseCancerPositron emission tomographyTotal-body imaging

Identifiers

PMID38167538
PMCPMC10759379

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.