Evidence map›Paper›PMID 35239037›Full record

ArticleEJNMMI physics2022

Exploration of the total-body PET/CT reconstruction protocol with ultra-low

Xiuli Sui, Hui Tan, Haojun Yu, Jie Xiao, Chi Qi, Yanyan Cao, Shuguang Chen, Yiqiu Zhang, Pengcheng Hu, Hongcheng Shi

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2022. 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
4.2field-weighted citation impact, top 5% of its field
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, 32 citations in OpenAlex.

  1. An artificial intelligence-driven image quality assessment system for whole-body [European journal of nuclear medicine and molecular imaging · 2023
    Trial
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  3. Reducing acquisition time in O-(2-Quantitative imaging in medicine and surgery · 2025
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  7. EnhancingCancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  8. Article
  9. [European journal of nuclear medicine and molecular imaging · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. A proper protocol for routineEJNMMI physics · 2023
    Article
  15. So, you want to get into "total-body" PET/CT scanning? An installation guide for beginners!Cancer imaging : the official publication of the International Cancer Imaging Society · 2023
    Review
  16. Article
  17. Total-body pediatric PET is ready for prime time.European journal of nuclear medicine and molecular imaging · 2022
    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

10 authors at 1 institution in 1 country.

Xiuli Sui *Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Hui Tan *Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Haojun YuDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Jie XiaoDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Chi QiDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Yanyan CaoDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Shuguang ChenDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Yiqiu ZhangDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Pengcheng HuDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Hongcheng ShiDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China. shihongcheng163@163.com.ORCID http://orcid.org/0000-0003-1922-1359
Fudan University · CN

Funding

Clinial Research Plan of Shanghai Hospital Development Center SHDC2020CR3079BNational Natural Science Foundation of China 81901796Science and Technology Commission of Shanghai Municipality 19YF1408300Shanghai Science and Technology Development Foundation (CN) 20DZ2201800
6 · The paper itself

Abstract

purposeThe purpose of this study was to investigate the image quality and diagnostic performance of different reconstructions over a wide range of patient body mass indices (BMIs) obtained by total-body PET/CT with ultra-low

methodsA total of 63 patients who underwent total-body PET/CT with ultra-low activity (0.37 MBq/kg)

resultsIncreased noise was associated with increased BMI in all reconstruction groups. Significant differences occurred in the liver SNR among BMI categories of OSEM reconstructions (P < 0.001) but no difference was seen in the HYPER Iterative reconstructions between any of the BMI categories (P > 0.05). With the increase in BMI, overall image quality and image noise scores decreased significantly in all reconstructions, but there was no statistically significant difference of lesion conspicuity. The overall image quality score of the obese group was not qualified (score = 2.7) in OSEM3, while the others were qualified. The lesion conspicuity scores were significantly higher in HYPER Iterative reconstructions and lower in OSEM2 than in OSEM3 (all P < 0.05). The values of SUV

conclusionConsidering the image quality and lesion analysis in

Indexed as

BMIImage qualityReconstructionTotal-body PET/CTUltra-low activity

Identifiers

PMID35239037
PMCPMC8894532
OpenAlexW4214932195

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.