Evidence map›Paper›PMID 32428058›Full record

ArticleNanoscale2020

An NIR-II/MR dual modal nanoprobe for liver cancer imaging.

Ying Ren, Shuqing He, Lakshmi Huttad, Mei-Sze Chua, Samuel K So, Qiyong Guo, Zhen Cheng

Open access · greenAbstract read
In one paragraph

Article in Nanoscale, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 63 citations in OpenAlex.

  1. Review
  2. GdACS applied materials & interfaces · 2025
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  17. Size-controlled bimodalScience and technology of advanced materials · 2021
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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

7 authors at 4 institutions in 3 countries.

Ying RenDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, 110004, P. R. China. guoqy@vip.sina.com and Molecular Imaging Program at Stanford (MIPS), Bio-X Program, and Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, California 94305-5344, USA. zcheng@stanford.edu.
Shuqing HeMolecular Imaging Program at Stanford (MIPS), Bio-X Program, and Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, California 94305-5344, USA. zcheng@stanford.edu and Academy for Advanced Interdisciplinary Studies and Department of Biomedical Engineering, Southern University of Science and Technology (SUSTech), Shenzhen 518055, China.
Lakshmi HuttadAsian Liver Center, Department of Surgery, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA.
Mei-Sze ChuaAsian Liver Center, Department of Surgery, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA.
Samuel K SoAsian Liver Center, Department of Surgery, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA.
Qiyong GuoDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, 110004, P. R. China. guoqy@vip.sina.com.
Zhen ChengMolecular Imaging Program at Stanford (MIPS), Bio-X Program, and Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, California 94305-5344, USA. zcheng@stanford.edu.ORCID http://orcid.org/0000-0001-8177-9463
Asian University · THStanford Medicine · USChina Medical University · CNSouthern University of Science and Technology · CN

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
NCI NIH HHS P30 CA124435
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a malignancy of the liver worldwide and surgical resection remains the most effective treatment. However, it is still a great challenge to locate small lesions and define the border of diffused HCC even with the help of preoperative imaging examination. Here, we reported a rare-earth-doped nanoparticle NaGdF4:Nd 5%@NaGdF4@Lips (named Gd-REs@Lips), which simultaneously performed powerful functions in both magnetic resonance imaging (MRI) and second near-infrared fluorescence window imaging (NIR-II, 1000-1700 nm). Imaging studies on orthotopic models with xenografts established from HCC patients indicated that Gd-REs@Lips efficiently worked as a T2-weighted imaging contrast agent to increase the signal intensity difference between liver cancer tissues and surrounding normal liver tissues on MRI, and it can also serve as a negative NIR-II imaging contrast enabling the precise detection of liver cancer. More importantly, benefiting from the high sensitivity of NIR-II imaging, Gd-REs@Lips allowed the visualization of tiny metastasis lesions (2 mm) on the liver surface. It is expected that the dual NIR-II/MRI modal nanoprobe developed holds high potential to fill the gap between the preoperative imaging detection of cancer lesions and intra-operative guidance, and it further brings new opportunities to address HCC-related medical challenges.

Indexed as

AnimalsCarcinoma, HepatocellularCell Line, TumorContrast MediaFluoridesGadoliniumHumansLiposomesLiver NeoplasmsMagnetic Resonance ImagingMiceNanoparticlesNIH 3T3 CellsOptical ImagingPhantoms, ImagingContrast MediaFluoridesGadoliniumLiposomesNaGdF4

Identifiers

PMID32428058
PMCPMC7959510
OpenAlexW3018429395

What OpenQuestion holds

Textmetadata
LicenceTDM
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.