Evidence map›Paper›PMID 41165818›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2026

AI-Quantified ¹¹C-MET PET/CT bone marrow metabolic activity for prognostic assessment in newly diagnosed multiple myeloma.

Zanting Ye, Jieqin Lv, Xuanbin Wu, Hui Li, Xiaolong Niu, Xu Han, Baoyuan Li, Lu Gao, Jiaqi Yang, Fu Ouyang and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Zanting Ye *School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China.
Jieqin Lv *Departments of Nuclear Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.
Xuanbin Wu *School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China.
Hui LiDepartment of Hematology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.
Xiaolong NiuSchool of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China.
Xu HanSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Baoyuan LiDepartments of Nuclear Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.
Lu GaoDepartments of Nuclear Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.
Jiaqi YangDepartments of Nuclear Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.
Fu OuyangDepartments of Nuclear Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.
Lijun LuSchool of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China. ljlubme@gmail.com.ORCID 0000-0002-7001-4892
Pengcheng RanDepartments of Nuclear Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China. cmurpc@163.com.

Funding

the National High-end Foreign Experts Recruitment Plan G2023030025Lthe National Natural Science Foundation of China 12326616the National Natural Science Foundation of China 62371221
6 · The paper itself

Abstract

purposeTo develop and validate an AI method for automated quantification of whole-skeleton bone marrow (BM) metabolic activity using Carbon 11 (

methodsThis prospective study included 49 patients (median age, 68 years; 29 males) with newly diagnosed MM. All patients underwent both

resultsAI-quantified

conclusionAI-quantified

Indexed as

Bone MarrowMethionineMultiple MyelomaPositron Emission Tomography Computed TomographyAdultAgedAged, 80 and overFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedPrognosisRadiopharmaceuticalscarbon-11 methionineFluorodeoxyglucose F18MethionineRadiopharmaceuticals11C-MET PET/CTArtificial intelligenceMetabolic tumor volumeMultiple myelomaPrognostic assessmentTotal lesion methionine uptake

Identifiers

PMID41165818

What OpenQuestion holds

Textmetadata
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.