# Assessment of the prevalence and consistency of microvascular flow imaging patterns in focal nodular hyperplasia

**Authors:** Boglárka Zsély, Aladár Dávid Rónaszéki, Marco Himsel, Zita Zsombor, Gabriella Győri, Anikó Folhoffer, Dorottya Mühl, Viktor Bérczi, Byung-So Park, Damján Pekli, Oszkár Hahn, András Kiss, Pál Maurovich-Horvat, Pál Novák Kaposi

PMC · DOI: 10.3389/pore.2026.1612253 · Pathology and Oncology Research · 2026-01-23

## TL;DR

This study examines how microvascular flow imaging helps distinguish focal nodular hyperplasia from other liver lesions using vascular patterns.

## Contribution

The study identifies specific vascular patterns on MVFI that are strongly associated with focal nodular hyperplasia.

## Key findings

- The spoke-wheel pattern and central artery on MVFI are strongly linked to FNH.
- MVFI-based models outperform B-mode ultrasound in diagnosing FNH.
- MVFI accuracy is higher for lesions ≥3 cm, with an AUC of 0.944.

## Abstract

To identify characteristic vascular features of focal nodular hyperplasia (FNH) on microvascular flow imaging (MVFI) and assess the utility of MVFI in FNH diagnosis.

This retrospective study included B-mode ultrasound (US) and MVFI scans of 41 FNHs, 21 hepatocellular carcinomas (HCCs), 20 metastases (METs), 10 hepatocellular adenomas (HCAs), and eight hemangiomas (HEMs) from 80 patients. Diagnoses were confirmed by contrast-enhanced imaging or histology. Two independent observers evaluated vascular patterns on MVFI. Interobserver agreement was calculated, and logistic regression models using either B-mode or MVFI features were developed to differentiate FNH from other focal liver lesions (FLLs).

Interobserver agreement for MVFI patterns was substantial (κ = 0.641, p < 0.001). The spoke-wheel pattern (OR = 51.53 and 35.28) and central artery (OR = 4.96 and 1.95) were strongly associated with FNH. However, the spoke-wheel pattern also appeared in subsets of HCAs (20%–30%), HCCs (14%–19%), and METs (5%–15%). Rim vascularity was common but nonspecific. The MVFI-based model (AUC = 0.891, p < 0.001) outperformed the B-mode model (AUC = 0.814) in distinguishing FNH. For lesions ≥3 cm, MVFI accuracy was even higher (AUC = 0.944, p < 0.001).

MVFI enhances the diagnostic confidence of US for FNH, particularly in asymptomatic patients at low risk for malignancy. However, given the potential overlap with certain malignant FLLs, MVFI findings should be interpreted with caution.

## Linked entities

- **Diseases:** focal nodular hyperplasia (MONDO:0100549), hepatocellular carcinoma (MONDO:0007256), hepatocellular adenoma (MONDO:0018902), hemangioma (MONDO:0006500)

## Full-text entities

- **Diseases:** malignancy (MESH:D009369), HCCs (MESH:D006528), FNH (MESH:D020518), HCAs (MESH:D018248), HEMs (MESH:D006391), METs (MESH:D009362), FLLs (MESH:D008107)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12875999/full.md

## References

32 references — full list in the complete paper: https://tomesphere.com/paper/PMC12875999/full.md

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Source: https://tomesphere.com/paper/PMC12875999