Evidence map›Paper›PMID 34649941›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2022

Combined PARP1-Targeted Nuclear Contrast and Reflectance Contrast Enhance Confocal Microscopic Detection of Basal Cell Carcinoma.

Aditi Sahu, Jose Cordero, Xiancheng Wu, Susanne Kossatz, Ucalene Harris, Paula Demetrio Desouza Franca, Nicholas R Kurtansky, Niasia Everett, Stephen Dusza, Jilliana Monnier and 16 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Translational Potential of Fluorescent PARP1 Inhibitor as a Molecular Contrast Agent for Diagnosis of Basal Cell Carcinoma.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  3. Article
  4. Pulmonary artery imaging withJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  5. Review
  6. Review
  7. Article
  8. 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

26 authors at 9 institutions in 5 countries.

Aditi SahuDermatology Service, MSKCC, New York, New York.
Jose CorderoDermatology Service, MSKCC, New York, New York.
Xiancheng WuDermatology Service, MSKCC, New York, New York.
Susanne KossatzDepartment of Radiology, MSKCC, New York, New York.
Ucalene HarrisDermatology Service, MSKCC, New York, New York.
Paula Demetrio Desouza FrancaDepartment of Radiology, MSKCC, New York, New York.
Nicholas R KurtanskyDermatology Service, MSKCC, New York, New York.
Niasia EverettDermatology Service, MSKCC, New York, New York.
Stephen DuszaDermatology Service, MSKCC, New York, New York.
Jilliana MonnierDermatology Service, MSKCC, New York, New York.
Piyush KumarDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mt. Sinai, New York, New York.
Christi FoxCaliber Imaging and Diagnostics, Rochester, New York.
Christian BrandSummit Biomedical Imaging, New York, New York.
Sheryl RobertsDepartment of Radiology, MSKCC, New York, New York.
Kivanc KoseDermatology Service, MSKCC, New York, New York.
William PhillipsDermatology Service, MSKCC, New York, New York.
Erica LeeDermatology Service, MSKCC, New York, New York.
Chih-Shan Jason ChenDermatology Service, MSKCC, New York, New York.
Anthony RossiDermatology Service, MSKCC, New York, New York.
Kishwer NehalDermatology Service, MSKCC, New York, New York.
Melissa PulitzerDermatology Service, MSKCC, New York, New York.
Caterina LongoDepartment of Dermatology, University of Modena and Reggio Emilia, Modena, Italy.
Allan HalpernDermatology Service, MSKCC, New York, New York.
Thomas ReinerDepartment of Radiology, MSKCC, New York, New York.
Milind RajadhyakshaDermatology Service, MSKCC, New York, New York.
Manu JainDermatology Service, MSKCC, New York, New York; jainm@mskcc.org.
Memorial Sloan Kettering Cancer Center · USAix-Marseille Université · FRCaliber Imaging and Diagnostics (United States) · USCornell University · USIcahn School of Medicine at Mount Sinai · USSUNY Upstate Medical University · USTechnical University of Munich · DEUniversity of Modena and Reggio Emilia · ITUniversity of Puerto Rico, Medical Sciences Campus · PR

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Peri-operative confocal imaging-guided laser ablation of basal cell carcinomasR01EB020029 · NIBIB · SLOAN-KETTERING INST CAN RESEARCH · PI RAJADHYAKSHA, MILIND · 2015 to 2018
$2.2M
NCI NIH HHS P30 CA008748NIBIB NIH HHS R01 EB020029
6 · The paper itself

Abstract

Reflectance confocal microscopy (RCM) with endogenous backscattered contrast can noninvasively image basal cell carcinomas (BCCs) in skin. However, BCCs present with high nuclear density, and the relatively weak backscattering from nuclei imposes a fundamental limit on contrast, detectability, and diagnostic accuracy. We investigated PARPi-FL, an exogenous nuclear poly(adenosine diphosphate ribose) polymerase (PARP1)-targeted fluorescent contrast agent, and fluorescence confocal microscopy toward improving BCC diagnosis.

Indexed as

Basal Cell CarcinomaSkin NeoplasmsAnimalsCell NucleusImmunohistochemistryMicroscopy, ConfocalSwinebasal cell carcinomacancer diagnosisfluorescence confocal microscopyin vivonuclear contrastreflectance confocal microscopy

Identifiers

PMID34649941
PMCPMC9157717
OpenAlexW3205488143

What OpenQuestion holds

Textmetadata
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.