Evidence map›Paper›PMID 37385963›Full record

ArticleACS applied materials & interfaces2023

NIR-II Fluorescence Imaging for the Detection and Resection of Cancerous Foci and Lymph Nodes in Early-Stage Orthotopic and Advanced-Stage Metastatic Ovarian Cancer Models.

Tao Pu, Yawei Liu, Yuetian Pei, Jing Peng, Zehua Wang, Ming Du, Qiyu Liu, Fangfang Zhong, Mingxing Zhang, Fuyou Li and 2 more

Open access · hybridAbstract read
In one paragraph

Article in ACS applied materials & interfaces, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  7. Ultrabright NIR-II Nanoprobes forACS nanoscience Au · 2025
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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

12 authors at 3 institutions in 1 country.

Tao PuObstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.ORCID 0009-0002-4632-4695
Yawei LiuObstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.
Yuetian PeiAcademy for Engineering and Technology, Fudan University, Shanghai 200438, China.
Jing PengObstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.
Zehua WangObstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.
Ming DuObstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.
Qiyu LiuObstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.
Fangfang ZhongObstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.
Mingxing ZhangObstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.
Fuyou LiDepartment of Chemistry, Fudan University, Shanghai 200438, China.ORCID 0000-0001-8729-1979
Congjian XuObstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.ORCID 0000-0002-7954-5892
Xiaoyan ZhangObstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.ORCID 0000-0001-9262-7473
Obstetrics and Gynecology Hospital of Fudan University · CNFudan University · CNShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high mortality rate of ovarian cancer can be primarily attributed to late diagnosis and early lymph node (LN) metastasis. The anatomically deep-located ovaries own intricate anatomical structures and lymphatic drainages that compromise the resolution and sensitivity of near-infrared first-window (NIR-I) fluorescence imaging. Reported NIR-II imaging studies of ovarian cancer focused on late-stage metastasis detection via the intraperitoneal xenograft model. However, given the significant improvement in patient survival associated with early-stage cancer detection, locating tumors that are restricted within the ovary is equally crucial. We obtained the polymer nanoparticles with bright near-infrared-II fluorescence (NIR-II NPs) by nanoprecipitation of DSPE-PEG, one of the ingredients of FDA-approved nanoparticle products, and benzobisthiadiazole, an organic NIR-II dye. The one-step synthesis and safe component lay the groundwork for its clinical translation. Benefiting from the NIR-II emission (∼1060 nm), NIR-II NPs enabled a high signal-to-noise (S/N) ratio (13.4) visualization of early-stage orthotopic ovarian tumors with NIR-II fluorescence imaging for the first time. Imaging with orthotopic xenograft allows a more accurate mimic of human ovarian cancer origin, thereby addressing the dilemma of translating existing nanoprobe preclinical research by providing the nano-bio interactions with early local tumor environments. After PEGylation, the desirable-sized probe (∼80 nm) exhibited high lymphophilicity and relatively extended circulation. NIR-II NPs maintained their accurate detection of orthotopic tumors, tumor-regional LNs, and minuscule (<1 mm) disseminated peritoneal metastases simultaneously (with S/N ratios all above 5) in mice with advanced-stage cancer in real time ∼36 h after systematic delivery. With NIR-II fluorescence guidance, we achieved accurate surgical staging in tumor-bearing mice and complete tumor removal comparable to clinical practice, which provides preclinical data for translating NIR-II fluorescence image-guided surgery.

Indexed as

Ovarian NeoplasmsSurgery, Computer-AssistedAnimalsFemaleFluorescent DyesHumansLymphatic MetastasisLymph NodesMiceOptical ImagingFluorescent Dyesfluorescence imaging-guided surgerylymph node imagingorthotopic-tumor imagingovarian cancersecond near-infrared (NIR-II) fluorescence nanoparticles

Identifiers

PMID37385963
PMCPMC10347426
OpenAlexW4382515231

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.