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Preoperative prediction of microvascular invasion: new insights into personalized therapy for early-stage hepatocellular carcinoma.

Authors :
Wang F
Liao HZ
Chen XL
Lei H
Luo GH
Chen GD
Zhao H
Source :
Quantitative imaging in medicine and surgery [Quant Imaging Med Surg] 2024 Jul 01; Vol. 14 (7), pp. 5205-5223. Date of Electronic Publication: 2024 Jun 27.
Publication Year :
2024

Abstract

Owing to advances in diagnosis and treatment methods over past decades, a growing number of early-stage hepatocellular carcinoma (HCC) diagnoses has enabled a greater of proportion of patients to receive curative treatment. However, a high risk of early recurrence and poor prognosis remain major challenges in HCC therapy. Microvascular invasion (MVI) has been demonstrated to be an essential independent predictor of early recurrence after curative therapy. Currently, biopsy is not generally recommended before treatment to evaluate MVI in HCC according clinical guidelines due to sampling error and the high risk of tumor cell seeding following biopsy. Therefore, the postoperative histopathological examination is recognized as the gold standard of MVI diagnosis, but this lagging indicator greatly impedes clinicians in selecting the optimal effective treatment for prognosis. As imaging can now noninvasively and completely assess the whole tumor and host situation, it is playing an increasingly important role in the preoperative assessment of MVI. Therefore, imaging criteria for MVI diagnosis would be highly desirable for optimizing individualized therapeutic decision-making and achieving a better prognosis. In this review, we summarize the emerging image characteristics of different imaging modalities for predicting MVI. We also discuss whether advances in imaging technique have generated evidence that could be practice-changing and whether advanced imaging techniques will revolutionize therapeutic decision-making of early-stage HCC.<br />Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-24-44/coif). The authors have no conflicts of interest to declare.<br /> (2024 Quantitative Imaging in Medicine and Surgery. All rights reserved.)

Details

Language :
English
ISSN :
2223-4292
Volume :
14
Issue :
7
Database :
MEDLINE
Journal :
Quantitative imaging in medicine and surgery
Publication Type :
Academic Journal
Accession number :
39022260
Full Text :
https://doi.org/10.21037/qims-24-44