Evidence map›Paper›PMID 33251109›Full record

ArticlePhotoacoustics2021

Clear cell renal cell carcinoma detection by multimodal photoacoustic tomography.

Lin Li, Hanbo Wu, Shuai Hu, Yanfei Yu, Zhicong Chen, Pu Wang, Liqun Zhou, Rui Li, Lin Yao, Shuhua Yue

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Photoacoustics, 2021. 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, top 88% of its field
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, 3 citations in OpenAlex.

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

10 authors at 3 institutions in 1 country.

Lin LiInstitute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China.
Hanbo WuInstitute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China.
Shuai HuDepartment of Urology, Peking University First Hospital, Beijing 100034, China.
Yanfei YuDepartment of Urology, Peking University First Hospital, Beijing 100034, China.
Zhicong ChenDepartment of Urology, Peking University First Hospital, Beijing 100034, China.
Pu WangInstitute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China.
Liqun ZhouDepartment of Urology, Peking University First Hospital, Beijing 100034, China.
Rui LiVibronix Inc., West Lafayette, IN, USA.
Lin YaoDepartment of Urology, Peking University First Hospital, Beijing 100034, China.
Shuhua YueInstitute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China.
Beihang University · CNPeking University · CNPeking University First Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a need for accurate and rapid detection of renal cancer in clinic. Here, we integrated photoacoustic tomography (PAT) with ultrasound imaging in a single system, which achieved tissue imaging depth about 3 mm and imaging speed about 3.5 cm

Indexed as

Clear cell renal cell carcinomaLipid accumulationPhotoacoustic tomography

Identifiers

PMID33251109
PMCPMC7683266
OpenAlexW3100609276

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.