Evidence map›Paper›PMID 29675353›Full record

ArticleQuantitative imaging in medicine and surgery2018

Magnetic particle imaging of islet transplantation in the liver and under the kidney capsule in mouse models.

Ping Wang, Patrick W Goodwill, Prachi Pandit, Jeff Gaudet, Alana Ross, Junfeng Wang, Elaine Yu, Daniel W Hensley, Timothy C Doyle, Christopher H Contag and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 66 citations in OpenAlex.

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  17. 3DFrontiers in cell and developmental biology · 2021
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  19. Frontiers in endocrinology · 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

12 authors at 6 institutions in 1 country.

Ping WangMolecular Imaging Laboratory, MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Patrick W GoodwillDepartment of Bioengineering, University of California at Berkeley, Berkeley, CA, USA.
Prachi PanditMagnetic Insight, Inc., Alameda, CA, USA.
Jeff GaudetMagnetic Insight, Inc., Alameda, CA, USA.
Alana RossMolecular Imaging Laboratory, MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Junfeng WangGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Elaine YuDepartment of Bioengineering, University of California at Berkeley, Berkeley, CA, USA.
Daniel W HensleyDepartment of Bioengineering, University of California at Berkeley, Berkeley, CA, USA.
Timothy C DoyleDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Christopher H ContagDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Steven ConollyDepartment of Bioengineering, University of California at Berkeley, Berkeley, CA, USA.
Anna MooreMolecular Imaging Laboratory, MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
University of California, Berkeley · USMassachusetts General Hospital · USGordon Center for Medical Imaging · USHarvard University · USMichigan State University · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIslet transplantation (Tx) represents the most promising therapy to restore normoglycemia in type 1 diabetes (T1D) patients to date. As significant islet loss has been observed after the procedure, there is an urgent need for developing strategies for monitoring transplanted islet grafts. In this report we describe for the first time the application of magnetic particle imaging (MPI) for monitoring transplanted islets in the liver and under the kidney capsule in experimental animals.

methodsPancreatic islets isolated from Papio hamadryas were labeled with superparamagnetic iron oxides (SPIOs) and used for either islet phantoms or Tx in the liver or under the kidney capsule of NOD scid mice. MPI was used to image and quantify islet phantoms and islet transplanted experimental animals post-mortem at 1 and 14 days after Tx. Magnetic resonance imaging (MRI) was used to confirm the presence of labeled islets in the liver and under the kidney capsule 1 day after Tx.

resultsMPI of labeled islet phantoms confirmed linear correlation between the number of islets and the MPI signal (R

conclusionsHere we demonstrate that MPI can be used for quantitative detection of labeled pancreatic islets in the liver and under the kidney capsule of experimental animals. We believe that MPI, a modality with no depth attenuation and zero background tissue signal could be a suitable method for imaging transplanted islet grafts.

Indexed as

Diabetesiron oxide nanoparticleislet transplantation (Tx)magnetic particle imaging (MPI)pancreatic islet

Identifiers

PMID29675353
PMCPMC5891680
OpenAlexW2793550452

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Registered trials

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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.