Evidence map›Paper›PMID 22385605›Full record

ArticleThe Kaohsiung journal of medical sciences2012

Comparison of Gd-Bz-TTDA, Gd-EOB-DTPA, and Gd-BOPTA for dynamic MR imaging of the liver in rat models.

Twei-Shiun Jaw, Shih-Hsien Chen, Yun-Ming Wang, Jui-Sheng Hsu, Yu-Ting Kuo, Yen-Yu Chiu, Kun-Bow Tsai, Tsyh-Jyi Hsieh, Gin-Chung Liu

Open access · goldAbstract read
In one paragraph

Article in The Kaohsiung journal of medical sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

9 authors at 2 institutions in 1 country.

Twei-Shiun JawDepartment of Medical Imaging, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan. tsjaw@kmu.edu.tw
Shih-Hsien Chen
Yun-Ming Wang
Jui-Sheng Hsu
Yu-Ting Kuo
Yen-Yu Chiu
Kun-Bow Tsai
Tsyh-Jyi Hsieh
Gin-Chung Liu
Kaohsiung Medical University · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the competitive potential of a new lipophilic paramagnetic complex, Gd-Bz-TTDA [4-benzyl-3,6,10-tri (carboxymethyl)-3,6,10-triazado-decanedioic acid] compared with two other commercially available MR hepatobiliary contrast agents, gadobenate dimeglumine (Gd-BOPTA) and gadoxetic acid (Gd-EOB-DTPA), dynamic MR imaging studies were performed on normal and hepatocellular carcinoma (HCC) rat models using a 1.5-Tesla MR scanner. The results indicate that normal rats that were injected with 0.1 mmol/kg Gd-Bz-TTDA showed significantly more intense and persistent liver enhancement than those that were injected with the same dose of Gd-EOB-DTPA or Gd-BOPTA. All of these agents showed similar enhancement patterns in the implanted HCC. The liver-lesion contrast-to-noise ratios were higher and more persistent in rats that were injected with Gd-Bz-TTDA. These results indicate that Gd-Bz-TTDA is comparable with the commercially available hepatobiliary agents, Gd-EOB-DTPA and Gd-BOPTA, and can result in more intense and prolonged liver enhancement while still providing better liver-lesion discrimination. These results warrant further large-scale studies.

Indexed as

Contrast MediaGadolinium DTPAOrganometallic CompoundsAnimalsLiverMagnetic Resonance ImagingMaleMeglumineRatsRats, WistarContrast Mediagadobenic acidgadolinium 3,6,10-tri(carboxymethyl)-3,6,10-triazadodecanedioic acidGadolinium DTPAgadolinium ethoxybenzyl DTPAMeglumineOrganometallic Compounds

Identifiers

PMID22385605
PMCPMC11915929
OpenAlexW2092149321

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.