Evidence map›Paper›PMID 37166575›Full record

ArticleMolecular imaging and biology2023

Impact of Arterial Input Function and Pharmacokinetic Models on DCE-MRI Biomarkers for Detection of Vascular Effect Induced by Stroma-Directed Drug in an Orthotopic Mouse Model of Pancreatic Cancer.

Jianbo Cao, Stephen Pickup, Mark Rosen, Rong Zhou

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular imaging and biology, 2023. 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
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  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

4 authors at 3 institutions in 2 countries.

Jianbo CaoDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Stephen PickupDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Mark RosenDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Rong ZhouDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA. rongzhou@pennmedicine.upenn.edu.ORCID 0000-0003-4018-381X
Cancer Research Center · USCancer Research UK · GBUniversity of Pennsylvania · US

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert H. Vonderheide · 1985 to 2026
$222.3M
Penn Quantitative MRI Resource for Pancreatic CancerU24CA231858 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ODWYER, PETER J, ROSEN, MARK ALAN · 2018 to 2022
$3.0M
NCI NIH HHS P30 CA016520NCI NIH HHS U24 CA231858
6 · The paper itself

Abstract

purposeWe demonstrated earlier in mouse models of pancreatic ductal adenocarcinoma (PDA) that K PROCEDURES: Retrospective analyses of the DCE-MRI of the orthotopic PDA model are performed to examine the impact of individual versus group AIF combined with Tofts model (TM), extended-Tofts model (ETM), or shutter-speed model (SSM) on the ability to detect the microvascular changes induced by PEGPH20 treatment.

resultsIndividual AIF exhibit a marked difference in peak gadolinium concentration. However, across all three PK models, k

conclusionOur results suggest that k

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsAnimalsContrast MediaDisease Models, AnimalImage EnhancementMagnetic Resonance ImagingMiceReproducibility of ResultsRetrospective StudiesContrast MediaArterial input functionDCE-MRIGadoliniumHyaluronidaseMicrovascular permeabilityMouseOrthotopic modelPancreatic cancerPharmacokinetic modelStroma

Identifiers

PMID37166575
OpenAlexW4376131322

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.