Evidence map›Paper›PMID 40360644›Full record

ArticleScientific reports2025

Identification of the histologic transformation of follicular lymphoma using super-resolution microcirculation imaging.

Ronghui Wang, Zhenhua Liu, Jipeng Yan, Siqi Hua, Zhiqian Wang, Zixun Yan, Xue Xie, Junnian Hao, Dan Zhou, Jianqiao Zhou and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

14 authors.

Ronghui Wang *Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Zhenhua Liu *Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Jipeng Yan *Ultrasound Lab for Imaging and Sensing, Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Siqi HuaDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Zhiqian WangDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Zixun YanShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Xue XieDepartment of Ultrasound, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Xuhui District, Shanghai, 200233, People's Republic of China.
Junnian HaoDepartment of Ultrasound, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Xuhui District, Shanghai, 200233, People's Republic of China.
Dan ZhouDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Jianqiao ZhouDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China.
Weili ZhaoShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China. zhao.weili@yahoo.com.
Yuanyi ZhengDepartment of Ultrasound, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Xuhui District, Shanghai, 200233, People's Republic of China. zhengyuanyi@163.com.
Mengxing TangUltrasound Lab for Imaging and Sensing, Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Weiwei ZhanDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People's Republic of China. shanghairuijinus@163.com.

Funding

National Key Research and Development Program of China 2022YFC3400100National Natural Science Foundation of China 81801699NSFC Key Project 82030050
6 · The paper itself

Abstract

To investigate the ability of super-resolution microcirculation imaging in identifying high-risk histologic transformation (HT) regions, directing the targeted biopsies, and promising timely chemotherapy escalation and outcome improvement. Initially, a retrospective analysis (January 1, 2018-January 1, 2022) of indolent follicular lymphoma (FL) or aggressive diffuse large B cell lymphoma was conducted to identify imaging-based markers of distinguishing aggressive lymphoma from indolent lymphoma. Subsequently, the prospective research consecutively enrolled histologically confirmed FL patients between February 1, 2022, and May 31, 2024, to validate the diagnostic performance of these investigated indicators in differentiating aggressive transformed FL from FL. Diagnostic performance and the diagnostic consistency associated with time were assessed. A total of 132 participants were enrolled: 52 (age 53 years ± 14 [SD]; 34 males) in the retrospective cohort for development and 80 (age 55 years ± 12 [SD]; 34 males), including 10 initial biopsy-confirmed HT, in the prospective cohort for validation. Super-resolution microcirculation imaging demonstrated excellent sensitivity (100%; 95% CI 69.15-100%) and specificity (97.14%; 95% CI 90.06-99.65%) for HT detection, with minimal risk of missed lesions at initial diagnosis. This technique shows potential in early HT detection, facilitating timely chemotherapy escalation and reducing the need for repeat biopsies.

Indexed as

Lymphoma, FollicularLymphoma, Large B-Cell, DiffuseMicrocirculationAdultAgedBiopsyFemaleHumansMaleMiddle AgedProspective StudiesRetrospective StudiesFollicular lymphomaUltrasoundVascular remodelling

Identifiers

PMID40360644
PMCPMC12075498

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.