Evidence map›Paper›PMID 27837395›Full record

ArticleJournal of medical ultrasonics (2001)2017

Evaluation of sorafenib for advanced hepatocellular carcinoma with low α-fetoprotein in arrival time parametric imaging using contrast-enhanced ultrasonography.

Kazue Shiozawa, Manabu Watanabe, Takashi Ikehara, Ryo Shimizu, Mie Shinohara, Yoshinori Igarashi, Yasukiyo Sumino

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical ultrasonics (2001), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 33% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Enhanced Diagnostic Imaging: Arrival-Time Parametric Imaging in Contrast-Enhanced Ultrasound for Multi-Organ Assessment.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Imaging evaluation of sorafenib for treatment of advanced hepatocellular carcinoma.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2018
    Article
  13. 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

7 authors at 2 institutions in 1 country.

Kazue ShiozawaDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Toho University Medical Center, Omori Hospital, 6-11-1 Omorinishi, Ota-ku, Tokyo, 143-8541, Japan.
Manabu WatanabeDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Toho University Medical Center, Omori Hospital, 6-11-1 Omorinishi, Ota-ku, Tokyo, 143-8541, Japan. manabu62@med.toho-u.ac.jp.
Takashi IkeharaDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Toho University Medical Center, Omori Hospital, 6-11-1 Omorinishi, Ota-ku, Tokyo, 143-8541, Japan.
Ryo ShimizuDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Toho University Medical Center, Omori Hospital, 6-11-1 Omorinishi, Ota-ku, Tokyo, 143-8541, Japan.
Mie ShinoharaDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Toho University Medical Center, Omori Hospital, 6-11-1 Omorinishi, Ota-ku, Tokyo, 143-8541, Japan.
Yoshinori IgarashiDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Toho University Medical Center, Omori Hospital, 6-11-1 Omorinishi, Ota-ku, Tokyo, 143-8541, Japan.
Yasukiyo SuminoDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Toho University Medical Center, Omori Hospital, 6-11-1 Omorinishi, Ota-ku, Tokyo, 143-8541, Japan.
Toho University Omori Medical Center · JPToho University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the usefulness of arrival time parametric imaging (AtPI) using contrast-enhanced ultrasonography (CEUS) with Sonazoid in evaluating early response to sorafenib for hepatocellular carcinoma (HCC).

methodsTwenty-one advanced HCC patients with low α-fetoprotein (AFP) levels (≤35 ng/ml) who received sorafenib for at least 4 weeks were enrolled in this study. CEUS was performed before and 2 weeks after treatment, and the images of the target lesion in the arterial phase were analyzed by AtPI. In the color mapping images obtained by AtPI, the mean arrival time of the contrast agent in the target lesion from the reference point (mean time: MT) was calculated. In each patient, differences between MT before and MT 2 weeks after treatment were compared. MT (+) and MT (-) groups were defined as difference of 0 s or greater and less than 0 s, respectively. Overall survival was evaluated between the two groups.

resultsIn the MT (+) (11 patients) and MT (-) (10 patients) groups, the median survival time was 792 and 403 days, respectively, which was statistically significant.

conclusionsThe results suggested that AtPI was useful for evaluating early response to sorafenib for advanced HCC with low AFP level.

Indexed as

AgedAged, 80 and overalpha-FetoproteinsAntineoplastic AgentsBiomarkersCarcinoma, HepatocellularContrast MediaFemaleHumansMaleMiddle AgedNiacinamidePhenylurea CompoundsPrognosisRetrospective StudiesSorafenibalpha-FetoproteinsAntineoplastic AgentsBiomarkersContrast MediaNiacinamidePhenylurea CompoundsSorafenibArrival time parametric imagingContrast-enhanced ultrasonographyHepatocellular carcinomaSorafenibα-Fetoprotein

Identifiers

PMID27837395
PMCPMC5222904
OpenAlexW2552292577

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.