Evidence map›Paper›PMID 34123770›Full record

ArticleFrontiers in oncology2021

Statistical Evaluation of Different Mathematical Models for Diffusion Weighted Imaging of Prostate Cancer Xenografts in Mice.

Harri Merisaari, Hanne Laakso, Heidi Liljenbäck, Helena Virtanen, Hannu J Aronen, Heikki Minn, Matti Poutanen, Anne Roivainen, Timo Liimatainen, Ivan Jambor

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Harri MerisaariDepartment of Radiology, University of Turku, Turku, Finland.
Hanne LaaksoDepartment of Biotechnology and Molecular Medicine, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland.
Heidi LiljenbäckTurku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.
Helena VirtanenTurku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.
Hannu J AronenDepartment of Radiology, University of Turku, Turku, Finland.
Heikki MinnTurku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.
Matti PoutanenTurku Center for Disease Modeling, University of Turku, Turku, Finland.
Anne RoivainenTurku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.
Timo LiimatainenDepartment of Biotechnology and Molecular Medicine, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland.
Ivan JamborDepartment of Radiology, University of Turku, Turku, Finland.
University of Turku · FITurku University Hospital · FIInstitute for Molecular Medicine Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate fitting quality and repeatability of four mathematical models for diffusion weighted imaging (DWI) during tumor progression in mouse xenograft model of prostate cancer.

methodsHuman prostate cancer cells (PC-3) were implanted subcutaneously in right hind limbs of 11 immunodeficient mice. Tumor growth was followed by weekly DWI examinations using a 7T MR scanner. Additional DWI examination was performed after repositioning following the fourth DWI examination to evaluate short term repeatability. DWI was performed using 15 and 12 b-values in the ranges of 0-500 and 0-2000 s/mm

resultsSignificant changes were observed in DWI data during the tumor growth, indicated by ADC

conclusionStretched exponential and kurtosis models showed better fit to DWI data than the mono-exponential model and presented with good repeatability.

Indexed as

Akaike information criteria (AIC)diffusion weighted imagingF-ratioPC-3 xenograft prostate tumorsprostate cancer mouse modelrepeatability

Identifiers

PMID34123770
PMCPMC8188898
OpenAlexW3165451591

What OpenQuestion holds

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LicenceCC BY
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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.