ArticleOncology letters2019
Comparison of values of CT and MRI imaging in the diagnosis of hepatocellular carcinoma and analysis of prognostic factors.
Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05687747 (Single Centre Prospective Evaluation of 68Gallium-FAPI PET/MRI in Hepatocellular Carcinoma), which is not on this map. Cited by 26 papers, 2 of them syntheses that pooled it.
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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.
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.
Single Centre Prospective Evaluation of 68Gallium-FAPI PET/MRI in Hepatocellular Carcinoma
Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.
- Application value of different imaging methods in the early diagnosis of small hepatocellular carcinoma: a network meta-analysis.Frontiers in oncology · 2024Pooled it
- Computed tomography for the diagnosis of hepatocellular carcinoma in adults with chronic liver disease.The Cochrane database of systematic reviews · 2021Pooled it
- A multi-temporal MRI radiomics model for early post-ablation recurrence risk stratification in hepatocellular carcinoma.Translational oncology · 2026Article
- Intensity-modulated proton therapy for patients with unresectable giant (≥ 10 cm) hepatocellular carcinoma: a retrospective analysis from two high-volume centers.Japanese journal of radiology · 2026Article
- Deep learning techniques for using computed tomography imaging for hepatocellular carcinoma diagnosis, treatment and prognosis.World journal of gastroenterology · 2026Review
- Article
- GCSA-SegFormer: Transformer-Based Segmentation for Liver Tumor Pathological Images.Bioengineering (Basel, Switzerland) · 2025Article
- Identification and evaluation of plasma exosome RNA biomarkers for non-invasive diagnosis of hepatocellular carcinoma using RNA-seq.BMC cancer · 2024Article
- Association of magnetic resonance imaging-derived sarcopenia with outcomes of patients with hepatocellular carcinoma after hepatectomy.Abdominal radiology (New York) · 2024Article
- Chip collection of hepatocellular carcinoma based on ONature communications · 2024Article
- Article
- Deep Learning Framework for Liver Segmentation fromSensors (Basel, Switzerland) · 2023Article
- Article
- What Imaging Modality Is More Effective in Predicting Early Recurrence of Hepatocellular Carcinoma after Hepatectomy Using Radiomics Analysis: CT or MRI or Both?Diagnostics (Basel, Switzerland) · 2023Article
- Hepatocellular carcinoma: State of the art diagnostic imaging.World journal of radiology · 2023Review
- Transcriptome analysis creates a new era of precision medicine for managing recurrent hepatocellular carcinoma.World journal of gastroenterology · 2023Review
- Cellular, Molecular and Proteomic Characteristics of Early Hepatocellular Carcinoma.Current issues in molecular biology · 2022Article
- Chinese expert consensus on conversion therapy for hepatocellular carcinoma (2021 edition).Hepatobiliary surgery and nutrition · 2022Review
- Clinical versus radiographical factors associated with hepatocellular carcinoma diagnosis in high-risk patients: sizes matter.Future science OA · 2022Article
- Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and Theranostics.International journal of molecular sciences · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Value of computed tomography (CT) and magnetic resonance imaging (MRI) in the diagnosis of small hepatocellular carcinoma (HCC), and in analysis of the prognostic factors of primary hepatocellular carcinoma (PHC) were compared. A total of 300 patients with PHC were selected from January 2013 to January 2016. Among them, 170 patients were diagnosed with small HCC. Patients were diagnosed by MRI and CT scans, respectively, and diagnostic efficacy of the methods was compared. A single factor and multivariate analysis of prognostic factors were performed on 300 patients. The sensitivity of MRI screening was 78.82%, specificity was 78.46%, accuracy was 78.67%, positive predictive value was 82.72%, and negative predictive value was 73.91%. CT screening showed a sensitivity of 62.35%, a specificity of 73.85%, an accuracy of 67.33%, a positive predictive value of 75.71%, and a negative predictive value of 60.00%. Differences in sensitivity, accuracy, and negative predictive value between MRI and CT screening were statistically significant (P<0.05). There was no statistically significant difference between two groups in specificity and positive predictive value (P>0.05). Diagnostic efficiency of MRI is better than that of CT diagnosis. Univariate analysis showed that age, hepatitis B cirrhosis background, tumor stage, and portal vein embolization were prognostic factors for PHC. Cox multivariate regression analysis showed that the background of liver cirrhosis, tumor stage, and portal thrombosis were independent risk factors for poor prognosis for PHC patient and the differences were statistically significant (P<0.05). MRI is superior to CT in the sensitivity, specificity and accuracy of the diagnosis of small HCC. Individualized comprehensive treatment plans based on the patient's condition may be effective in prolonging the patient's survival time. Imaging diagnosis can provide survival basis for patients, improve diagnostic accuracy, and help to improve the survival rate.
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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.