Evidence map›Paper›PMID 35581212›Full record

ArticleNature communications2022

Targeted detection of cancer at the cellular level during biopsy by near-infrared confocal laser endomicroscopy.

Gregory T Kennedy, Feredun S Azari, Elizabeth Bernstein, Bilal Nadeem, Ashley Chang, Alix Segil, Sean Carlin, Neil T Sullivan, Emmanuel Encarnado, Charuhas Desphande and 10 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

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  8. Real-Time In Vivo Cellular-Level Imaging During Puncture.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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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

20 authors at 4 institutions in 2 countries.

Gregory T KennedyDepartment of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.ORCID 0000-0002-5843-3998
Feredun S AzariDepartment of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
Elizabeth BernsteinDepartment of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.ORCID 0000-0003-2343-332X
Bilal NadeemDepartment of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.ORCID 0000-0001-9886-5325
Ashley ChangDepartment of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.ORCID 0000-0002-1180-4800
Alix SegilDepartment of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
Sean CarlinDepartment of Radiology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
Neil T SullivanDepartment of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
Emmanuel EncarnadoDepartment of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
Charuhas DesphandeDepartment of Pathology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
Sumith KularatneOn Target Laboratories, West Lafayette, IN, USA.
Pravin GagareOn Target Laboratories, West Lafayette, IN, USA.
Mini ThomasOn Target Laboratories, West Lafayette, IN, USA.
John C KucharczukDepartment of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
Gaetan ChristienMauna Kea Technologies, Paris, France.
Francois LacombeMauna Kea Technologies, Paris, France.
Kaela LeonardMauna Kea Technologies, Paris, France.
Philip S LowDepartment of Chemistry, Purdue University, West Lafayette, IN, USA.ORCID 0000-0001-9042-5528
Aline CritonMauna Kea Technologies, Paris, France.
Sunil SinghalDepartment of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA. sunil.singhal@pennmedicine.upenn.edu.ORCID 0000-0002-2413-7082
University of Pennsylvania · USMauna Kea Technologies (France) · FROn Target Laboratories (United States) · USPurdue University West Lafayette · US

Funding

Near infrared intraoperative molecular imaging of lung adenocarcinomaR01CA193556 · NCI · UNIVERSITY OF PENNSYLVANIA · PI LOW, PHILIP STEWART, SINGHAL, SUNIL · 2016 to 2020
$3.3M
SURGICAL ONCOLOGY RESEARCH TRAINING PROGRAM AT PENNT32CA251063 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Ronald P. Dematteo · 2020 to 2026
$2.6M
Intraoperative Molecular Imaging of Pulmonary Squamous Cell CarcinomaF32CA254210 · NCI · UNIVERSITY OF PENNSYLVANIA · PI KENNEDY, GREGORY T · 2020 to 2021
$143k
NCI NIH HHS F32 CA254210NCI NIH HHS R01 CA193556NCI NIH HHS T32 CA251063
6 · The paper itself

Abstract

Suspicious nodules detected by radiography are often investigated by biopsy, but the diagnostic yield of biopsies of small nodules is poor. Here we report a method-NIR-nCLE-to detect cancer at the cellular level in real-time during biopsy. This technology integrates a cancer-targeted near-infrared (NIR) tracer with a needle-based confocal laser endomicroscopy (nCLE) system modified to detect NIR signal. We develop and test NIR-nCLE in preclinical models of pulmonary nodule biopsy including human specimens. We find that the technology has the resolution to identify a single cancer cell among normal fibroblast cells when co-cultured at a ratio of 1:1000, and can detect cancer cells in human tumors less than 2 cm in diameter. The NIR-nCLE technology rapidly delivers images that permit accurate discrimination between tumor and normal tissue by non-experts. This proof-of-concept study analyzes pulmonary nodules as a test case, but the results may be generalizable to other malignancies.

Indexed as

Pancreatic NeoplasmsBiopsyEndoscopyHumansLasersMicroscopy, Confocal

Identifiers

PMID35581212
PMCPMC9114105
OpenAlexW4280526238

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.