Evidence map›Paper›PMID 41369863›Full record

ArticleEJNMMI research2025

Jingnan Wang, Xueyang Zhang, Yu Liu, Yangzhong Zhou, Guangjie Yang, Chao Fu, Xiang Li, Qian Wang, Fan Wang, Li Huo

Abstract read
In one paragraph

Article in EJNMMI research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. BMJ open · 2026
    Article
  3. Review
  4. EJNMMI research · 2025
    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.

Jingnan Wang *Department of Nuclear Medicine, State Key Laboratory of Complex, Severe, and Rare Diseases, Center for Rare Diseases Research, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Xueyang Zhang *Department of Rheumatology and Clinical Immunology, State Key Laboratory of Complex, Severe, and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yu LiuDepartment of Nuclear Medicine, State Key Laboratory of Complex, Severe, and Rare Diseases, Center for Rare Diseases Research, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Yangzhong ZhouDepartment of Rheumatology and Clinical Immunology, State Key Laboratory of Complex, Severe, and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Guangjie YangDepartment of Nuclear Medicine, State Key Laboratory of Complex, Severe, and Rare Diseases, Center for Rare Diseases Research, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Chao FuDepartment of Nuclear Medicine, State Key Laboratory of Complex, Severe, and Rare Diseases, Center for Rare Diseases Research, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Xiang LiDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria. xiang.li@meduniwien.ac.at.
Qian WangDepartment of Rheumatology and Clinical Immunology, State Key Laboratory of Complex, Severe, and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. wangqian_pumch@126.com.
Fan WangKey Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Li HuoDepartment of Nuclear Medicine, State Key Laboratory of Complex, Severe, and Rare Diseases, Center for Rare Diseases Research, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China. huoli@pumch.cn.ORCID http://orcid.org/0000-0003-1216-083X

Funding

Beijing Natural Science Foundation L242062CAMS Innovation Fund for Medical Sciences 2023-I2M-2-005, 2021-I2M-1-005National High Level Hospital Clinical Research Funding 2022-PUMCH-D-001, 2022-PUMCH-D-002, 2022-PUMCH-C-020, 2022-PUMCH-A-107National Key R&D Program of China 2024YFC2419400National Natural Science Foundation of China U24A20758
6 · The paper itself

Abstract

backgroundThe pathogenesis of connective tissue disease-associated interstitial lung disease (CTD-ILD) involves complex interactions between inflammatory cell infiltration and fibroblast activation, which are pivotal in driving the disease progression. The aim of the study was to assess the feasibility of 99mTc-HFAPI imaging for visualizing active fibrotic process and 18F-FDG imaging for visualizing inflammatory process in CTD-ILD patients.

resultsA total of 54 CTD-ILD patients were enrolled. Visual analysis revealed that nearly half of the patients exhibited high tracer uptake on 99mTc-HFAPI imaging, whereas most patients showed low or moderate uptake on 18F-FDG imaging. 8 patients showed high uptake in both scans. 15 patients showed low or moderate 18F-FDG uptake but high 99mTc-HFAPI uptake. No patients demonstrated high 18F-FDG uptake coupled with low 99mTc-HFAPI uptake were observed among these 54 patients. Correlation analysis between 99mTc-HFAPI parameters and pulmonary function testing (PFT) results showed 99mTc-HFAPI uptake was significantly negatively correlated with forced vital capacity (FVC) [whole lung (wl) SUVmean: R=-0.45, p < 0.005; metabolic active volume (MAV): R=-0.41, p < 0.005; total lesion (TL): R=-0.45, p < 0.005] and diffusion capacity for carbon monoxide (DLCO) (wlSUVmean: R=-0.58, p < 0.005; MAV: R=-0.62, p < 0.005; TL: R=-0.65, p < 0.005). Significantly positive correlations were observed between 99mTc-HFAPI parameters and disease extent on HRCT (wlSUVmean: R = 0.51, p < 0.005; MAV: R = 0.53, p < 0.005; TL: R = 0.64, p < 0.005). In contrast, 18F-FDG parameters demonstrated weak or mild correlations with both PFT results and disease extent on HRCT.

conclusion99mTc-HFAPI imaging shows promising utility in assessing active fibrosis in CTD-ILD patients, demonstrating superior performance over 18F-FDG. The potential added value of dual-tracer imaging for characterization fibrotic and inflammatory processes might provide more insights of CTD-ILD.

Indexed as

18F-FDG PET/CT99mTc-HFAPI SPECT/CTConnective tissue diseaseInterstitial lung disease

Identifiers

PMID41369863
PMCPMC12799816

What OpenQuestion holds

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Registered trials

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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.