ReviewWorld journal of gastroenterology2022
Radiomics for the detection of microvascular invasion in hepatocellular carcinoma.
Review in World journal of gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 4 of them syntheses that pooled it.
What it found
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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.
Who cites it
50 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Diagnostic performance based on MRI for preoperative of vessels encapsulating tumor clusters in hepatocellular carcinoma: a systematic review and meta-analysis.La Radiologia medica · 2025Pooled it
- Diagnostic performance of FDG PET/CT radiomics in predicting microvascular invasion in hepatocellular carcinoma compared to conventional metabolic parameters: a systematic review and meta-analysis.Annals of nuclear medicine · 2025Pooled it
- Preoperative prediction power of radiomics and non-radiomics methods based on MRI for early recurrence in hepatocellular carcinoma: a systemic review and meta-analysis.Abdominal radiology (New York) · 2024Pooled it
- CT radiomics for prediction of microvascular invasion in hepatocellular carcinoma: A systematic review and meta-analysis.Clinics (Sao Paulo, Brazil) · 2023Pooled it
- A Validated, explainable machine learning-based preoperative risk model for microvascular invasion in hepatocellular carcinoma.Langenbeck's archives of surgery · 2026Article
- Characteristics and predictors of survival outcomes of patients with large pathology-defined T1b hepatocellular carcinoma undergoing resection.Updates in surgery · 2026Article
- Deciphering Colorectal Liver Metastasis Perfusion Heterogeneity: Identification of Distinct Vascular Phenotypes through High-Lateral-Resolution Photoacoustic Microscopy.Radiology. Imaging cancer · 2026Article
- Correlation between 18 F-FDG PET/CT, Gd-EOB-DTPA MRI combined with laboratory parameters and microvascular invasion, and the potential of nomogram to predict microvascular invasion of hepatocellular carcinoma before liver transplantation.Nuclear medicine communications · 2026Article
- Perioperative clinicopathologic model for predicting 12-month early recurrence after curative hepatectomy in hepatocellular carcinoma.Journal of gastrointestinal oncology · 2026Article
- Predictors of True Early Recurrence in Patients Undergoing Radiofrequency Ablation for Hepatocellular Carcinoma.JGH open : an open access journal of gastroenterology and hepatology · 2026Article
- Deep learning techniques for using computed tomography imaging for hepatocellular carcinoma diagnosis, treatment and prognosis.World journal of gastroenterology · 2026Review
- Integrating multiphase MRI surrogates to improve microvascular invasion detection and recurrence risk stratification in HCC.JHEP reports : innovation in hepatology · 2026Article
- Comparable Long-Term Survival After Curative Hepatectomy for Solitary Large (5-10 cm) versus Giant (≥10 cm) Hepatocellular Carcinoma: A Retrospective Study.Journal of hepatocellular carcinoma · 2026Article
- Identification of Microvascular Invasion-Related Biomarkers for Personalized Treatment of Hepatocellular Carcinoma.Current medicinal chemistry · 2026Article
- Evaluation of therapeutic efficacy in hepatocellular carcinoma ablation based on CT radiomics and deep learning multimodal models.Frontiers in oncology · 2026Article
- Amide proton transfer-weighted imaging in predicting aggressiveness of hepatocellular carcinoma: comparison with diffusion-weighted imaging.Quantitative imaging in medicine and surgery · 2026Article
- Development and validation of a nomogram based on tumor margin irregularity and alpha-fetoprotein for predicting microvascular invasion in hepatocellular carcinoma.Frontiers in oncology · 2026Article
- A generative vision-language model for holistic pathological assessment using preoperative imaging in hepatocellular carcinoma.EBioMedicine · 2025Article
- The Potential of Artificial Intelligence to Improve Selection Criteria for Liver Transplantation in HCC.Cancers · 2025Review
- Circadian rhythms as a modulator of gut microbiota-tumor microenvironment crosstalk.Cellular and molecular life sciences : CMLS · 2025Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) is the most common primary liver cancer, accounting for about 90% of liver cancer cases. It is currently the fifth most common cancer in the world and the third leading cause of cancer-related mortality. Moreover, recurrence of HCC is common. Microvascular invasion (MVI) is a major factor associated with recurrence in postoperative HCC. It is difficult to evaluate MVI using traditional imaging modalities. Currently, MVI is assessed primarily through pathological and immunohistochemical analyses of postoperative tissue samples. Needle biopsy is the primary method used to confirm MVI diagnosis before surgery. As the puncture specimens represent just a small part of the tumor, and given the heterogeneity of HCC, biopsy samples may yield false-negative results. Radiomics, an emerging, powerful, and non-invasive tool based on various imaging modalities, such as computed tomography, magnetic resonance imaging, ultrasound, and positron emission tomography, can predict the HCC-MVI status preoperatively by delineating the tumor and/or the regions at a certain distance from the surface of the tumor to extract the image features. Although positive results have been reported for radiomics, its drawbacks have limited its clinical translation. This article reviews the application of radiomics, based on various imaging modalities, in preoperative evaluation of HCC-MVI and explores future research directions that facilitate its clinical translation.
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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.