Evidence map›Paper›PMID 40134597›Full record

ArticleFrontiers in oncology2025

Histogram analysis of continuous-time random walk and restrictive spectrum imaging for identifying hepatocellular carcinoma and intrahepatic cholangiocarcinoma.

Bo Dai, Yihang Zhou, Lei Shen, Hanhan Li, Ting Fang, Jiayin Pan, Yan Wang, Wei Mao, Xiaopeng Song, Fengshan Yan and 1 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. 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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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

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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

11 authors.

Bo Dai *Department of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.
Yihang Zhou *Department of Radiology, Xinxiang Medical University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, China.
Lei ShenDepartment of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.
Hanhan LiDepartment of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.
Ting FangDepartment of Radiology, West China School of Public Health and West China Fourth Hospital, Chengdu, China.
Jiayin PanDepartment of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.
Yan WangDepartment of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.
Wei MaoCentral Research Institute, United Imaging Healthcare, Shanghai, China.
Xiaopeng SongCentral Research Institute, United Imaging Healthcare, Shanghai, China.
Fengshan YanDepartment of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.
Meiyun WangDepartment of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To compare the ability and potential additional value of various diffusion models, including continuous-time random walk (CTRW), restrictive spectrum imaging (RSI), and diffusion-weighted imaging (DWI), as well as their associated histograms, in distinguishing the pathological subtypes of liver cancer. Methods: 40 patients with liver cancer were included in this study. Histogram metrics were derived from CTRW (D, α, β), RSI (f Results: Patients with hepatocellular carcinoma exhibited higher values in f Conclusion: CTRW, RSI, and their corresponding histogram parameters demonstrated the ability to distinguish between pathological subtypes of liver cancer. Moreover, whole-lesion histogram parameters provided more comprehensive statistical insights compared to mean values alone.

Indexed as

continuous-time random walkhepatocellular carcinomaintrahepatic cholangiocarcinomarestrictive spectrum imagingwhole-lesion histogram

Identifiers

PMID40134597
PMCPMC11933651

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