Evidence map›Paper›PMID 26769345›Full record

ArticleEJNMMI research2016

Imaging heterogeneity of peptide delivery and binding in solid tumors using SPECT imaging and MRI.

J C Haeck, K Bol, C M A de Ridder, L Brunel, J A Fehrentz, J Martinez, W M van Weerden, M R Bernsen, M de Jong, J F Veenland

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Application-specific nuclear medicalPhysics in medicine and biology · 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

10 authors at 4 institutions in 2 countries.

J C HaeckDepartment of Radiology, Erasmus MC, Rotterdam, the Netherlands. j.haeck@erasmusmc.nl.
K BolDepartment of Radiology, Erasmus MC, Rotterdam, the Netherlands.
C M A de RidderDepartment of Urology, Erasmus MC, Rotterdam, the Netherlands.
L BrunelIBMM, UMR 5247, CNRS, ENSCM, Faculté de Pharmacie, Université Montpellier, Montpellier, France.
J A FehrentzIBMM, UMR 5247, CNRS, ENSCM, Faculté de Pharmacie, Université Montpellier, Montpellier, France.
J MartinezIBMM, UMR 5247, CNRS, ENSCM, Faculté de Pharmacie, Université Montpellier, Montpellier, France.
W M van WeerdenDepartment of Urology, Erasmus MC, Rotterdam, the Netherlands.
M R BernsenDepartment of Radiology, Erasmus MC, Rotterdam, the Netherlands.
M de JongDepartment of Radiology, Erasmus MC, Rotterdam, the Netherlands.
J F VeenlandDepartment of Radiology, Erasmus MC, Rotterdam, the Netherlands.
Erasmus MC · NLÉcole Nationale Supérieure de Chimie de Montpellier · FRErasmus University Rotterdam · NLUniversité de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs model system, a solid-tumor patient-derived xenograft (PDX) model characterized by high peptide receptor expression and histological tissue homogeneity was used to study radiopeptide targeting. In this solid-tumor model, high tumor uptake of targeting peptides was expected. However, in vivo SPECT images showed substantial heterogeneous radioactivity accumulation despite homogenous receptor distribution in the tumor xenografts as assessed by in vitro autoradiography. We hypothesized that delivery of peptide to the tumor cells is dictated by adequate local tumor perfusion. To study this relationship, sequential SPECT/CT and MRI were performed to assess the role of vascular functionality in radiopeptide accumulation.

methodsHigh-resolution SPECT and dynamic contrast-enhanced (DCE)-MRI were acquired in six mice bearing PC295 PDX tumors expressing the gastrin-releasing peptide (GRP) receptor. Two hours prior to SPECT imaging, animals received 25 MBq (111)In(DOTA-(βAla)2-JMV594) (25 pmol). Images were acquired using multipinhole SPECT/CT. Directly after SPECT imaging, MR images were acquired on a 7.0-T dedicated animal scanner. DCE-MR images were quantified using semi-quantitative and quantitative models. The DCE-MR and SPECT images were spatially aligned to compute the correlations between radioactivity and DCE-MRI-derived parameters over the tumor.

resultsWhereas histology, in vitro autoradiography, and multiple-weighted MRI scans all showed homogenous tissue characteristics, both SPECT and DCE-MRI showed heterogeneous distribution patterns throughout the tumor. The average Spearman's correlation coefficient between SPECT and DCE-MRI ranged from 0.57 to 0.63 for the "exchange-related" DCE-MRI perfusion parameters.

conclusionsA positive correlation was shown between exchange-related DCE-MRI perfusion parameters and the amount of radioactivity accumulated as measured by SPECT, demonstrating that vascular function was an important aspect of radiopeptide distribution in solid tumors. The combined use of SPECT and MRI added crucial information on the perfusion efficiency versus radiopeptide uptake in solid tumors and showed that functional tumor characteristics varied locally even when the tissue appeared homogenous on current standard assessment techniques.

Indexed as

DCE-MRIPeptide deliveryProstate cancerSPECTTumor targeting

Identifiers

PMID26769345
PMCPMC4713394
OpenAlexW2237905636

What OpenQuestion holds

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LicenceCC BY
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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.