Evidence map›Paper›PMID 42718884›Full record

ArticleEuropean journal of radiology open2026

High performance of low-dose ultrahigh-resolution photon-counting detector CT for sacroiliac joint assessment in axial spondyloarthritis.

Hanqi Wang, Liuping Chen, Gang Wei, Yufei Huang, Zhuochao Zhou, Haipeng Dong, Rui Chang, Zhihan Xu, Jingyi Wu, Anrui Yu and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of radiology open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Hanqi WangDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China.
Liuping ChenDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China.
Gang WeiBrain Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China.
Yufei HuangDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China.
Zhuochao ZhouDepartment of Rheumatology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China.
Haipeng DongDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China.
Rui ChangDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China.
Zhihan XuCT Collaboration, Siemens Healthineers, No.399 West Haiyang Road, Shanghai, China.
Jingyi WuDepartment of Rheumatology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China.
Anrui YuDepartment of Rheumatology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China.
Dan ZengShanghai Institute of Advanced Communication and Data Science, Shanghai University, No.99 Shangda Road, Shanghai, China.
Jia LiNational Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshe East Road, Zhengzhou, China.
Yan WangShanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, No.500 Dongchuan Road, Shanghai, China.
Lianjun DuDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China.
Fuhua YanDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China.
Junna YeDepartment of Rheumatology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China.
Yong LuBrain Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China.
Le QinDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To compare the performance of low-dose (LD) ultrahigh-resolution (UHR) photon-counting detector (PCD) CT with energy-integrating detector (EID) CT for sacroiliac joint assessment in axial spondyloarthritis (axSpA). Materials and Methods: This was a prospective randomized study. AxSpA patients were enrolled and assigned to LD or clinical dose (CD) groups. Patients underwent UHR PCD-CT of the sacroiliac joints at low radiation dose (IQ level, 30), followed by EID-CT scanning using either LD (matched to PCD-CT dose) or CD protocols (108 quality reference mAs). Image noise, signal-to-noise ratio, interobserver reproducibility, subjective image quality, diagnostic confidence, and structural damage scores were evaluated by two radiologists and compared. Results: In total, 40 patients were enrolled (LD group: n = 20, 36.5 ± 9.8 years, 8 females; CD group, n = 20, 35.5 ± 8.8 years, 8 females). Compared with CD EID-CT, PCD-CT delivered lower effective dose (0.63 ± 0.23 mSv vs. 1.79 ± 1.05 mSv, Conclusion: LD UHR PCD-CT reduced radiation dose by 65% compared with CD EID-CT, and improved structural lesion visualization and diagnostic confidence compared with both LD and CD EID-CT.

Indexed as

Energy-integrating detector CTImage qualityPhoton-counting detector CTRadiation DoseSacroiliitis

Identifiers

PMID42718884
PMCPMC13553509

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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.