Evidence map›Paper›PMID 37711783›Full record

ArticleQuantitative imaging in medicine and surgery2023

Quantitative parameters of static imaging and fast kinetics imaging in

Nan Meng, Meng Zhang, Jipeng Ren, Fangfang Fu, Beichen Xie, Yaping Wu, Zhong Li, Bo Dai, Yuxia Li, Tao Feng and 2 more

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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.

Nan Meng *Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.
Meng Zhang *Department of MR, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China.
Jipeng RenDepartment of MR, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China.
Fangfang FuDepartment of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.
Beichen XieDepartment of MR, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China.
Yaping WuDepartment of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.
Zhong LiDepartment of MR, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China.
Bo DaiDepartment of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.
Yuxia LiDepartment of MR, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China.
Tao FengUnited Imaging Healthcare America Inc. TX, USA.
Tianyi XuUnited Imaging Healthcare, Shanghai, China.
Meiyun WangDepartment of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To investigate the value of quantitative parameters related to static imaging and fast kinetics imaging of total-body (TB) 2-[ Methods: A total of 108 patients with pulmonary lesions from July 2021 to May 2022 in the Henan Provincial People's Hospital, China, were consecutively recruited for TB Results: Malignant lesions had higher SUV Conclusions: Quantitative parameters of static imaging and fast kinetics imaging in

Indexed as

fast kinetics parametric imagingPulmonary lesionstotal-body positron emission tomography/computed tomography (TB PET/CT)

Identifiers

PMID37711783
PMCPMC10498229

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.