Evidence map›Paper›PMID 40248940›Full record

ReviewCurrent medical imaging2025

Research Progress of Dual-energy CT in Diagnosis and Evaluation of Curative Effect of Liver Cancer: A Review

Mingtai Cao, Yumiao Qiao, Xukun Gao, Xinyi Liu, Airu Yang, Rui Fan, Boqi Zhou, Bin Huang, Yuntai Cao

Abstract readReview
In one paragraph

Review in Current medical imaging, 2025. 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
–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

1 citing paper in PubMed.

  1. Observational
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.

Mingtai CaoDepartment of Radiology, Affiliated Hospital of Qinghai University, Xining, China.
Yumiao QiaoDepartment of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xukun GaoDepartment of Radiology, Affiliated Hospital of Qinghai University, Xining, China.
Xinyi LiuDepartment of Radiology, Affiliated Hospital of Qinghai University, Xining, China.
Airu YangDepartment of Radiology, Affiliated Hospital of Qinghai University, Xining, China.
Rui FanDepartment of Radiology, Affiliated Hospital of Qinghai University, Xining, China.
Boqi ZhouDepartment of Radiology, Affiliated Hospital of Qinghai University, Xining, China.
Bin HuangDepartment of Radiology, Affiliated Hospital of Qinghai University, Xining, China.
Yuntai CaoDepartment of Radiology, Affiliated Hospital of Qinghai University, Xining, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary liver cancer is the sixth most common cancer and the third leading cause of cancer deaths worldwide, with over 900,000 new cases and more than 800,000 deaths annually. Conventional imaging techniques have improved the diagnosis and assessment of treatment response in patients with Hepatocellular Carcinoma (HCC), but they have many limitations. Introducing Dual-Energy Computed Tomography (DECT) into clinical practice offers an opportunity to address these issues. DECT has unique advantages in diagnosing and evaluating the efficacy of HCC treatment. It can provide quantitative information on various substances and, through multi-parameter and quantitative parameter analysis, can be used for early detection of HCC, identification of benign and malignant lesions, and monitoring of lymph node metastasis and Microvascular Invasion (MVI). Additionally, DECT provides valuable information for evaluating therapeutic efficacy. This review covers the imaging principles of DECT, including its basic principles, scanner design modes, and Image Reconstruction (IR) techniques. It then describes the research progress of DECT in diagnosing HCC and evaluating treatment efficacy. Finally, it briefly discusses some limitations of DECT and its future development directions.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsRadiography, Dual-Energy Scanned ProjectionTomography, X-Ray ComputedHumansAccurate diagnosisDual-energy computed tomographyEfficacy assessmentHepatocellular carcinomaImage Reconstruction, Lymph node metastasisMicrovascular Invasion

Identifiers

PMID40248940
PMCPMC12951023

What Socratic 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 Socratic graph.