Evidence map›Paper›PMID 39796729›Full record

ReviewCancers2024

Radiological Assessment and Therapeutic Evaluation in Hepatocellular Carcinoma: Differentiation and Treatment Response with Japanese Guidelines.

Masakatsu Tsurusaki, Keitaro Sofue, Takamichi Murakami, Noboru Tanigawa

Abstract readReview
In one paragraph

Review in Cancers, 2024. 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
–field-weighted citation impact
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.

  1. Review
  2. Article
  3. Review
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

4 authors.

Masakatsu TsurusakiDepartment of Radiology, Kansai Medical University Medical Center, Moriguchi 570-8503, Osaka, Japan.ORCID 0000-0001-9894-4912
Keitaro SofueDepartment of Radiology, Kobe University Graduate School of Medicine, Kobe 650-0017, Hyogo, Japan.ORCID 0000-0001-6132-1623
Takamichi MurakamiDepartment of Radiology, Kobe University Graduate School of Medicine, Kobe 650-0017, Hyogo, Japan.
Noboru TanigawaDepartment of Radiology, Kansai Medical University, Hirakata 573-1010, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The liver is supplied by a dual blood flow system consisting of the portal vein and hepatic artery. Imaging techniques for diagnosing hepatocellular carcinoma (HCC) have been developed along with blood flow imaging, which visualizes the amount of arterial and portal blood flow. The diagnosis of HCC differentiation is important for early-stage liver cancer screening and determination of treatment strategies. Dynamic computed tomography/magnetic resonance imaging (MRI) includes blood flow imaging and MRI with contrast-enhanced ultrasound and liver-specific contrast agents are used in combination. In addition, unlike the Response Evaluation Criteria in Solid Tumors (RECIST) (version 1.1), which is the standard for determining treatment efficacy for solid tumors in general, tumor necrosis is generally considered a treatment effect in HCC, and the modified RECIST and Liver Cancer Direct Effectiveness Criteria (RECICL) are widely used. Familiarity with the definitions, criteria, and potential challenges of the mRECIST and RECICL is essential for their effective application in clinical practice. This review integrates the latest advancements in systemic treatments and imaging techniques, including the role of LI-RADS and updates on molecular-targeted therapies such as regorafenib, supported by some systematic review and meta-analysis.

Indexed as

dynamic CTGd-EOB-DTPA enhanced MRIhepatocellular carcinomamRECISTRECICLRECISTtreatment response criteriaWnt/β-catenin mutation/activation

Identifiers

PMID39796729
PMCPMC11719590

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.