Evidence map›Paper›PMID 41263034›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Rapid Arbitrary-Shape Microscopy of Unsectioned Tissues for Precise Intraoperative Tumor Margin Assessment.

Zhicheng Shao, Xiangwei Meng, Peifen Fu, Keer Huang, Xibei Chen, Yue Ying, Jun Li, Yuxin Zheng, Xiaolong Li, Hyeon Jeong Lee and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Zhicheng ShaoCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, China.
Xiangwei MengCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, China.
Peifen FuThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China.
Keer HuangCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, China.
Xibei ChenThe Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Yue YingCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, China.
Jun LiThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China.
Yuxin ZhengThe Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Xiaolong LiCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, China.
Hyeon Jeong LeeCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, China.
Jingyi FengThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China.
Yuexin LuThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China.
Runping CaiCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, China.
Xiongling JiangThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China.
Qing ChenThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China.
Hong ZhangCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, China.
Xiaoyong ManThe Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Li LinCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, China.ORCID https://orcid.org/0000-0002-0517-8436

Funding

Fundamental Research Funds for the Central Universities 226-2024-00059National Key R&D Program of China 2022YFC2407700Zhejiang Province "Lingyan" R&D Program 2024C03066
6 · The paper itself

Abstract

Rapid and accurate intraoperative examination of tumor margins is crucial for precise surgical treatment, yet current methods are limited by incomplete tissue sampling and time-consuming sample sectioning. The Rapid Arbitrary-Shape Microscope (RAM) is developed, a bedside imaging system that enables high-speed, 3D microscopy of irregular tissue surfaces without sectioning, providing cellular-resolution images within minutes while preserving tissue morphology post-excision. RAM precisely integrates a 3D scanning module with a robotic platform, seamlessly combining morphological measurements with robotic-driven pathological microscopy. In studies involving metastatic tumors in 39 mouse liver and spleen samples, RAM demonstrated high accuracy in detecting positive margins containing cancer cells, achieving a sensitivity of 99.1% and a specificity of 82.9%. The system's capability is further validated on 12 skin cancer samples from 10 human subjects using nondestructive imaging, highlighting its potential to reduce surgical time and minimize the risk of overlooking residual cancer at surgical margins during intraoperative evaluation.

Indexed as

Imaging, Three-DimensionalMargins of ExcisionMicroscopySkin NeoplasmsAnimalsHumansMicehigh‐speed pathologyrobotic‐driven microscopy, tumor margin examination

Identifiers

PMID41263034
PMCPMC12884736

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.