Evidence map›Paper›PMID 39028439›Full record

ArticleEJNMMI physics2024

Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET.

Hao Sun, Yanchao Huang, Debin Hu, Xiaotong Hong, Yazdan Salimi, Wenbing Lv, Hongwen Chen, Habib Zaidi, Hubing Wu, Lijun Lu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EJNMMI physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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.

Hao SunSchool of Biomedical Engineering, Southern Medical University, 1023 Shatai Road, Guangzhou, 510515, China.
Yanchao HuangLaboratory for Quality Control and Evaluation of Radiopharmaceuticals, Department of Nuclear Medicine, Nanfang Hospital Southern Medical University, Guangzhou, 510515, China.
Debin HuDepartment of Medical Engineering, Nanfang Hospital Southern Medical University, Guangzhou, 510515, China.
Xiaotong HongSchool of Biomedical Engineering, Southern Medical University, 1023 Shatai Road, Guangzhou, 510515, China.
Yazdan SalimiDivision of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, 1211, Geneva 4, Switzerland.
Wenbing LvDepartment of Electronic Engineering, Information School, Yunnan University, Kunming, 650091, China.
Hongwen ChenLaboratory for Quality Control and Evaluation of Radiopharmaceuticals, Department of Nuclear Medicine, Nanfang Hospital Southern Medical University, Guangzhou, 510515, China.
Habib ZaidiDivision of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, 1211, Geneva 4, Switzerland.
Hubing WuLaboratory for Quality Control and Evaluation of Radiopharmaceuticals, Department of Nuclear Medicine, Nanfang Hospital Southern Medical University, Guangzhou, 510515, China. wuhbym@163.com.
Lijun LuSchool of Biomedical Engineering, Southern Medical University, 1023 Shatai Road, Guangzhou, 510515, China. ljlubme@gmail.com.ORCID http://orcid.org/0000-0002-7001-4892

Funding

National High-end Foreign Experts Recruitment Plan G2023030025LNational Natural Science Foundation of China 12326616National Natural Science Foundation of China 62201245National Natural Science Foundation of China 62371221Open Project Program of Yunnan Key Laboratory of Intelligent Systems and Computing ISC23Y02Science and Technology Program of Guangdong Province 2022A0505050039Swiss National Science Foundation under grant SNSF 320030_176052Yunnan Fundamental Research Projects 202401AU070215
6 · The paper itself

Abstract

backgroundLow-dose ungated CT is commonly used for total-body PET attenuation and scatter correction (ASC). However, CT-based ASC (CT-ASC) is limited by radiation dose risks of CT examinations, propagation of CT-based artifacts and potential mismatches between PET and CT. We demonstrate the feasibility of direct ASC for multi-tracer total-body PET in the image domain.

methodsClinical uEXPLORER total-body PET/CT datasets of [

resultsCZ-ASC, DL-ASC and FT-ASC showed comparable visual quality with CT-ASC for all tracers. CZ-ASC and DL-ASC resulted in a normalized mean absolute error (NMAE) of 8.51 ± 7.32% versus 7.36 ± 6.77% (p < 0.05), outperforming NASC (p < 0.0001) in [

conclusionsCZ-ASC, DL-ASC and FT-ASC demonstrated the feasibility of providing accurate and robust ASC for multi-tracer total-body PET, thereby reducing the radiation hazards to patients from redundant CT examinations. CZ-ASC and FT-ASC could outperform DL-ASC for cross-tracer total-body PET AC.

Indexed as

Artificial intelligenceAttenuation correctionPET/CTScatter correctionTotal-body

Identifiers

PMID39028439
PMCPMC11264498

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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.