Evidence map›Paper›PMID 24365954›Full record

ArticleJournal of biomedical optics2013

Contrast enhanced-magnetic resonance imaging as a surrogate to map verteporfin delivery in photodynamic therapy.

Kimberley S Samkoe, Amber Bryant, Jason R Gunn, Stephen P Pereira, Tayyaba Hasan, Brian W Pogue

Abstract readLetter
In one paragraph

Article in Journal of biomedical optics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Kimberley S SamkoeGeisel School of Medicine at Dartmouth College, Department of Surgery, Lebanon, New Hampshire 03756bDartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755.
Amber BryantDartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755.
Jason R GunnDartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755.
Stephen P PereiraUniversity College London, Institute for Liver and Digestive Health, London NW3 2QG, United Kingdom.
Tayyaba HasanMassachusetts General Hospital, Wellman Center for Photomedicine, Boston, Massachusetts 02114.
Brian W PogueGeisel School of Medicine at Dartmouth College, Department of Surgery, Lebanon, New Hampshire 03756bDartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755.

Funding

Small Molecule Enhancers of Photodynamic Therapy for Skin CancerP01CA084203 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Bryan Quilty Spring · 2001 to 2026
$27.9M
NCI NIH HHS P01 CA084203NCI NIH HHS P01CA084203
6 · The paper itself

Abstract

The use of in vivo contrast-enhanced magnetic resonance (MR) imaging as a surrogate for photosensitizer (verteporfin) dosimetry in photodynamic therapy of pancreas cancer is demonstrated by correlating MR contrast uptake to ex vivo fluorescence images on excised tissue. An orthotopic pancreatic xenograft mouse model was used for the study. A strong correlation (r = 0.57) was found for bulk intensity measurements of T1-weighted gadolinium enhancement and verteporfin fluorescence in the tumor region of interest. The use of contrast-enhanced MR imaging shows promise as a method for treatment planning and photosensitizer dosimetry in human photodynamic therapy (PDT) of pancreas cancer.

Indexed as

AnimalsContrast MediaLinear ModelsMagnetic Resonance ImagingMicePancreatic NeoplasmsPhotochemotherapyPhotosensitizing AgentsPorphyrinsRadiometryVerteporfinXenograft Model Antitumor AssaysContrast MediaPhotosensitizing AgentsPorphyrinsVerteporfin

Identifiers

PMID24365954
PMCPMC3870269

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.