Evidence map›Paper›PMID 39412599›Full record

ArticleEJNMMI research2024

Comparative benefits of Ki and SUV images in lesion detection during PET/CT imaging.

Danjie Cai, Yibo He, Haojun Yu, Yiqiu Zhang, Hongcheng Shi

Abstract read
In one paragraph

Article in EJNMMI research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

4 citing papers in PubMed.

  1. Applications of artificial intelligence in nuclear medicine.Zeitschrift fur medizinische Physik · 2026
    Review
  2. Discriminating inflammation from malignancy with short-dynamic patlak parametric 18 F-FDG PET/CT.European journal of nuclear medicine and molecular imaging · 2026
    Article
  3. Total Body PET.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  4. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Danjie Cai *Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Yibo He *Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Haojun YuDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Yiqiu ZhangDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Hongcheng ShiDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China. shi.hongcheng@zs-hospital.sh.cn.ORCID http://orcid.org/0000-0001-7457-876X

Funding

Clinical Research Plan of Shanghai Hospital Development Centre SHDC2020CR3079BShanghai Municipal Key Clinical Specialty Project SHSLCZDZK03401
6 · The paper itself

Abstract

backgroundClinical application of the tracer net influx rate (Ki) imaging in PET/CT remains limited, due to a lack of evidence demonstrating the superiority of Ki images in lesion detection, and guidelines on when to utilize Ki images. This study aims to compare the benefits of Ki and standardized uptake value (SUV) images in lesion detection during PET/CT imaging. By analyzing the performance of both techniques in identifying tumor lesions, the study seeks to provide guidance for the clinical application of Ki images.

resultsThis retrospective study included 134 patients with 244 pathologically confirmed lesions (200 malignant and 44 benign). Patients with a histopathological diagnosis received a weight-based

conclusionKi images exhibit benefits in lesion detection compared to SUV images, particularly in organs with high background such as liver. The enhanced contrast provided by Ki imaging is recommended to clinically improve detection rates in such cases.

Indexed as

Dynamic imagingKi imageLesion detection ratePET/CT

Identifiers

PMID39412599
PMCPMC11485003

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