Evidence map›Paper›PMID 24379636›Full record

ArticleWorld journal of gastroenterology2013

Separate calculation of DW-MRI in assessing therapeutic effect in liver tumors in rats.

Feng Chen, Frederik De Keyzer, Yuan-Bo Feng, Marlein Miranda Cona, Jie Yu, Guy Marchal, Raymond Oyen, Yi-Cheng Ni

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2013. 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
0.5field-weighted citation impact, top 30% 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

8 authors at 1 institution in 1 country.

Feng ChenFeng Chen, Department of Radiology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China.
Frederik De KeyzerFeng Chen, Department of Radiology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China.
Yuan-Bo FengFeng Chen, Department of Radiology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China.
Marlein Miranda ConaFeng Chen, Department of Radiology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China.
Jie YuFeng Chen, Department of Radiology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China.
Guy MarchalFeng Chen, Department of Radiology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China.
Raymond OyenFeng Chen, Department of Radiology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China.
Yi-Cheng NiFeng Chen, Department of Radiology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China.
First Affiliated Hospital Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo explore whether the antitumor effect of a vascular disrupting agent (VDA) would be enhanced by combining with an antiangiogenic agent, and whether such synergistic effects can be effectively evaluated with separate calculation of diffusion weighted magnetic resonance imaging (DW-MRI).

methodsThirty-seven rats with implanted liver tumors were randomized into the following three groups: (1) ZD6126, a kind of VDA; (2) ZDTHA, ZD6126 in combination with an antiangiogenic, thalidomide; and (3) control. Morphological DW-MRI were performed and quantified before, 4 h and 2 d after treatment. The apparent diffusion coefficient (ADC) values were calculated separately for low b values (ADC(low)), high b values (ADC(high)) and all b values (ADC(all)). The tissue perfusion contribution, ADC(perf), was calculated as ADC(low)-ADC(high). Imaging findings were finally verified by histopathology.

resultsThe combination therapy with ZDTHA significantly delayed tumor growth due to synergistic effects by inducing cumulative tumor necrosis. In addition to delaying tumor growth, ZDTHA caused tumor necrosis in an additive manner, which was verified by HE staining. Although both ADC(high) and ADC(all) in the ZD6126 and ZDTHA groups were significantly higher compared to those in the control group on day 2, the entire tumor ADC(high) of ZDTHA was even higher than that of ZD6126, but the significant difference was not observed for ADC(all) between ZDTHA and ZD6126. This indicated that the perfusion insensitive ADC(high) values calculated from high b value images performed significantly better than ADC(all) for the monitoring of tumor necrosis on day 2. The perfusion sensitive ADC(perf) derived from ADC(low) by excluding high b value effects could better reflect the reduction of blood flow due to the vessel shutdown induced by ZD6126, compared to the ADC(low) at 4 h. The ADC(perf) could provide valuable perfusion information from DW-MRI data.

conclusionThe separate calculation of ADC is more useful than conventional averaged ADC in evaluating the efficacy of combination therapy with ZD6126 and thalidomide for solid tumors.

Indexed as

Diffusion Magnetic Resonance ImagingAngiogenesis InhibitorsAnimalsAntineoplastic Combined Chemotherapy ProtocolsLiverLiver Neoplasms, ExperimentalNecrosisOrganophosphorus CompoundsPredictive Value of TestsRatsRhabdomyosarcomaThalidomideTime FactorsTumor BurdenAngiogenesis InhibitorsN-acetylcochinol-O-phosphateOrganophosphorus CompoundsThalidomideAnimal modelAntiangiogenic agentDiffusion weighted imagingLiver tumorMagnetic resonance imagingRatsRodentsTherapeutic assessmentVascular disrupting agent

Identifiers

PMID24379636
PMCPMC3870564
OpenAlexW1996011826

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.