Evidence map›Paper›PMID 33767907›Full record

ArticleJournal of clinical imaging science2021

Useful Parameters in Dynamic Contrast-enhanced Ultrasonography for Identifying Early Response to Chemotherapy in a Rat Liver Tumor Model.

Ryosuke Taiji, Hideyuki Nishiofuku, Toshihiro Tanaka, Kiyoyuki Minamiguchi, Yasushi Fukuoka, Natsuhiko Saito, Hidehiko Taguchi, Takeshi Matsumoto, Nagaaki Marugami, Toshiko Hirai and 1 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical imaging science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

11 authors at 1 institution in 1 country.

Ryosuke TaijiDepartment of Radiology, Nara Medical University, Kashihara, Nara, Japan.
Hideyuki NishiofukuDepartment of Radiology, Nara Medical University, Kashihara, Nara, Japan.
Toshihiro TanakaDepartment of Radiology, Nara Medical University, Kashihara, Nara, Japan.
Kiyoyuki MinamiguchiDepartment of Radiology, Nara Medical University, Kashihara, Nara, Japan.
Yasushi FukuokaDepartment of Radiology, Nara Medical University, Kashihara, Nara, Japan.
Natsuhiko SaitoDepartment of Radiology, Nara Medical University, Kashihara, Nara, Japan.
Hidehiko TaguchiDepartment of Radiology, Nara Medical University, Kashihara, Nara, Japan.
Takeshi MatsumotoDepartment of Radiology, Nara Medical University, Kashihara, Nara, Japan.
Nagaaki MarugamiDepartment of Radiology, Nara Medical University, Kashihara, Nara, Japan.
Toshiko HiraiDepartment of Radiology, Nara Medical University, Kashihara, Nara, Japan.
Kimihiko KichikawaDepartment of Radiology, Nara Medical University, Kashihara, Nara, Japan.
Nara Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objective of the study is to determine a parameter on the time-intensity curve (TIC) of dynamic contrast-enhanced ultrasonography (DCE-US) that best correlates with tumor growth and to evaluate whether the parameter could correlate with the early response to irinotecan in a rat liver tumor model. MATERIAL AND

methodsTwenty rats with tumors were evaluated (control: Saline,

resultsPI, k value, PI × k, and TTP significantly correlated with tumor growth (

conclusionParameters of DCE-US could be a useful parameter for identifying early response to irinotecan.

Indexed as

BiomarkersColon cancerContrast mediaIrinotecanRatsUltrasonography

Identifiers

PMID33767907
PMCPMC7981939
OpenAlexW3137962054

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.