Evidence mapPaperPMID 42530771Full record

ArticleLa Radiologia medica2026

Super-resolution ultrasound microscopy profiles microvasculomics of pancreatic ductal adenocarcinoma with pathological association and facilitates differential diagnosis.

Zebang Yang, Tongyi Huang, Xin Zheng, Xiaoer Zhang, Jiaping Li, Jingan Zhu, Yuan Lin, Xiaoyan Xie, Ming Xu

Abstract read
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2026. 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

9 authors.

Zebang Yang *Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, Sun Yat-Sen University First Affiliated Hospital, No.58 Zhongshan Er Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Tongyi Huang *Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, Sun Yat-Sen University First Affiliated Hospital, No.58 Zhongshan Er Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Xin ZhengDepartment of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, Sun Yat-Sen University First Affiliated Hospital, No.58 Zhongshan Er Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Xiaoer ZhangDepartment of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, Sun Yat-Sen University First Affiliated Hospital, No.58 Zhongshan Er Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Jiaping LiDepartment of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, Sun Yat-Sen University First Affiliated Hospital, No.58 Zhongshan Er Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Jingan ZhuDepartment of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, Sun Yat-Sen University First Affiliated Hospital, No.58 Zhongshan Er Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Yuan LinDepartment of Pathology, Sun Yat-Sen University First Affiliated Hospital, No.58 Zhongshan Er Road, Guangzhou, 510080, Guangdong, People's Republic of China.
Xiaoyan XieDepartment of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, Sun Yat-Sen University First Affiliated Hospital, No.58 Zhongshan Er Road, Guangzhou, 510080, Guangdong, People's Republic of China. xiexyan@mail.sysu.edu.cn.
Ming XuDepartment of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, Sun Yat-Sen University First Affiliated Hospital, No.58 Zhongshan Er Road, Guangzhou, 510080, Guangdong, People's Republic of China. xuming8@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0003-2151-2980

Funding

National Natural Science Foundation of China 82402297National Natural Science Foundation of China 82572248
6 · The paper itself

Abstract

purposeTo identify the microvasculomic profiles of PDAC through SR-US, study the correlation between SR-US characteristics and pathological microvascular density (pMVD), and preliminarily explore the differential diagnostic value of pancreatic SR-US. MATERIALS AND

methodsWe prospectively performed SR-US examinations for PDAC patients from August 2024 to June 2025. SR-US microvascular maps were reconstructed, and SR-US microvascular parameters were measured. pMVD was calculated, and the correlation between pMVD and SR-US characteristics was validated with Spearman correlation analysis. The differential diagnostic value of SR-US was analyzed by its capacity to differentiate PDAC and pancreatic neuroendocrine tumors (PNET), another common solid tumor of the pancreas, with the area under the curve (AUC) calculated.

resultsSeventy-two PDAC patients (median age: 64.00 years; 40 men) were enrolled for analysis, and 12 PNET patients were enrolled only for differential diagnosis. Thirty-seven (51.39%) PDAC showed a branch-type microvascular morphology. The medians of microvascular ratio, microvascular complexity, and perfusion index were 22.88% (16.74%, 27.13%), 1.60 (1.53, 1.65), and 2.93 (2.05, 3.65). PDAC patients with branch-type or dot-type microvasculature showed significantly lower pMVD than those with diffuse chaotic microvasculature (p = 0.010). pMVD was significantly correlated with microvascular ratio; microvascular complexity; mean, max, and min microvascular velocity; and perfusion index (all p < 0.05). SR-US characteristics achieved effective differential diagnosis between PDAC and PNET with the highest AUC up to 0.976 for microvascular ratio.

conclusionSR-US enables noninvasive evaluation of the microvasculomic profile of PDAC with preliminary evidence of pathological correlation and quantitative diagnostic value to differentiate PDAC from PNET.

Indexed as

DiagnosisMicrovasculomicsPancreatic ductal adenocarcinomaPathologySuper-resolution ultrasound microscopy

Identifiers

PMID42530771

What Socratic 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 Socratic graph.