Prospective Study of Non-Contrast, Abbreviated MRI for Hepatocellular Carcinoma Surveillance in Patients with Suboptimal Hepatic Visualisation on Ultrasound.

hepatocellular carcinoma magnetic resonance imaging obesity surveillance

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
30 Jul 2024
Historique:
received: 10 07 2024
accepted: 26 07 2024
medline: 10 8 2024
pubmed: 10 8 2024
entrez: 10 8 2024
Statut: epublish

Résumé

Biannual ultrasound (US) is recommended for hepatocellular carcinoma (HCC) surveillance in patients with cirrhosis. However, US has limited sensitivity for early-stage HCC, particularly in overweight cohorts, where hepatic visualisation is often inadequate. Currently there are no robust imaging surveillance strategies in patients with inadequate US visualisation. We investigated the ability of non-contrast, abbreviated magnetic resonance imaging (aMRI) to adequately visualise the liver for HCC surveillance in patients with previously inadequate US. Patients undergoing US surveillance, where liver visualisation was inadequate (LI-RADS VIS-B and VIS-C), were prospectively recruited. Patients underwent non-contrast T2-weighted and diffusion-weighted aMRI. The images were reviewed and reported by an expert liver radiologist. Three independent, blinded radiologists assessed the aMRI visualisation quality using a binary score assessing five parameters (parenchymal definition, vascular definition, coverage of the liver, uniformity of liver appearance and signal-to-noise ratio). Thirty patients completed the aMRI protocol. The majority (90%) had underlying cirrhosis and were overweight (93.3%), with 50% obese and 20% severely obese. A total of 93.3% of the aMRI scans were of satisfactory quality. Six patients (20%) had hepatic abnormalities detected with aMRI that were not seen on their US: one HCC, one haemangioma and three clinically insignificant lesions. For the aMRI visualisation quality assessment, the coverage of the liver, vascular definition and parenchymal definition were consistently rated to be of sufficient quality by all three radiologists. Non-contrast aMRI provided good visualisation of the liver and detection of abnormalities in patients with inadequate US. aMRI should be further explored in a larger, prospective study as an alternative surveillance strategy in patients with inadequate US.

Sections du résumé

BACKGROUND BACKGROUND
Biannual ultrasound (US) is recommended for hepatocellular carcinoma (HCC) surveillance in patients with cirrhosis. However, US has limited sensitivity for early-stage HCC, particularly in overweight cohorts, where hepatic visualisation is often inadequate. Currently there are no robust imaging surveillance strategies in patients with inadequate US visualisation. We investigated the ability of non-contrast, abbreviated magnetic resonance imaging (aMRI) to adequately visualise the liver for HCC surveillance in patients with previously inadequate US.
METHODS METHODS
Patients undergoing US surveillance, where liver visualisation was inadequate (LI-RADS VIS-B and VIS-C), were prospectively recruited. Patients underwent non-contrast T2-weighted and diffusion-weighted aMRI. The images were reviewed and reported by an expert liver radiologist. Three independent, blinded radiologists assessed the aMRI visualisation quality using a binary score assessing five parameters (parenchymal definition, vascular definition, coverage of the liver, uniformity of liver appearance and signal-to-noise ratio).
RESULTS RESULTS
Thirty patients completed the aMRI protocol. The majority (90%) had underlying cirrhosis and were overweight (93.3%), with 50% obese and 20% severely obese. A total of 93.3% of the aMRI scans were of satisfactory quality. Six patients (20%) had hepatic abnormalities detected with aMRI that were not seen on their US: one HCC, one haemangioma and three clinically insignificant lesions. For the aMRI visualisation quality assessment, the coverage of the liver, vascular definition and parenchymal definition were consistently rated to be of sufficient quality by all three radiologists.
CONCLUSIONS CONCLUSIONS
Non-contrast aMRI provided good visualisation of the liver and detection of abnormalities in patients with inadequate US. aMRI should be further explored in a larger, prospective study as an alternative surveillance strategy in patients with inadequate US.

Identifiants

pubmed: 39123437
pii: cancers16152709
doi: 10.3390/cancers16152709
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : North West London Cancer Alliance
ID : N/A
Organisme : NIHR Imperial Biomedical Research Centre
ID : N/A
Organisme : Cancer Research UK Convergence Science Centre
ID : N/A

Auteurs

Mathew Vithayathil (M)

Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK.

Maria Qurashi (M)

Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK.

Pedro Rente Vicente (PR)

Department of Brain Sciences, Imperial College London, London W12 0NN, UK.

Ali Alsafi (A)

Department of Interventional Radiology, Imperial College Healthcare NHS Trust, London W12 0HS, UK.

Mitesh Naik (M)

Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London W12 0HS, UK.

Alison Graham (A)

Department of Interventional Radiology, Imperial College Healthcare NHS Trust, London W12 0HS, UK.

Shahid Khan (S)

Department of Hepatology, Imperial College Healthcare NHS Trust, London W12 0HS, UK.

Heather Lewis (H)

Department of Hepatology, Imperial College Healthcare NHS Trust, London W12 0HS, UK.

Ameet Dhar (A)

Department of Hepatology, Imperial College Healthcare NHS Trust, London W12 0HS, UK.

Belinda Smith (B)

Department of Hepatology, Imperial College Healthcare NHS Trust, London W12 0HS, UK.

Nowlan Selvapatt (N)

Department of Hepatology, Imperial College Healthcare NHS Trust, London W12 0HS, UK.

Pinelopi Manousou (P)

Department of Hepatology, Imperial College Healthcare NHS Trust, London W12 0HS, UK.

Lucia Possamai (L)

Department of Hepatology, Imperial College Healthcare NHS Trust, London W12 0HS, UK.

Hooshang Izadi (H)

School of Engineering, Computing and Mathematics, Oxford Brookes University, Oxford OX3 0BP, UK.

Adrian Lim (A)

Department of Radiology, Imperial College Healthcare NHS Trust, London W12 0HS, UK.

Paul Tait (P)

Department of Interventional Radiology, Imperial College Healthcare NHS Trust, London W12 0HS, UK.

Rohini Sharma (R)

Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK.

Classifications MeSH