Dataset Information

The combination of non-contrast abbreviated MRI and alpha foetoprotein has high performance for hepatocellular carcinoma screening.

ABSTRACT:

Objectives

This study aimed to compare two abbreviated MRI (AMRI) protocols to complete MRI for HCC detection: non-contrast (NC)-AMRI without/with alpha foetoprotein (AFP) and dynamic contrast-enhanced (Dyn)-AMRI.

Methods

This retrospective single-center study included 351 patients (M/F: 264/87, mean age: 57y) with chronic liver disease, who underwent MRI for HCC surveillance between 2014 and 2020. Two reconstructed AMRI sets were obtained based on complete MRI: NC-AMRI (T2-weighted imaging (WI) + diffusion-WI) and Dyn-AMRI (T2-WI + dynamic T1-WI) and were assessed by 2 radiologists who reported all suspicious lesions, using LI-RADS/adapted LI-RADS classification. The reference standard was based on all available patient data. Inter-reader agreement was assessed and MRI diagnostic performance was compared to the reference standard.

Results

The reference standard demonstrated 83/351 HCC-positive patients (prevalence: 23.6%, median size: 22 mm, and positive MRIs: 83/631). Inter-reader agreement was substantial for all sets. Sensitivities of Dyn-AMRI and complete MRI (both 92.8%) were similar, higher than NC-AMRI (72.3%, p < 0.001). Specificities were not different between sets. NC-AMRI + AFP (92.8%) had similar sensitivity to Dyn-AMRI and complete MRI. In patients with small size HCCs (≤ 2 cm), sensitivities of Dyn-AMRI (85.3%) and complete MRI (88.2%) remained similar (p = 0.564), also outperforming NC-AMRI (52.9%, p < 0.05). NC-AMRI + AFP had similar sensitivity (88.2%) to Dyn-AMRI and complete MRI (p = 0.706 and p = 1, respectively).

Conclusions

Dyn-AMRI has similar diagnostic performance to complete MRI for HCC detection, while both outperform NC-AMRI, especially for small size HCCs. NC-AMRI + AFP demonstrates similar sensitivity to Dyn-AMRI and complete MRI.

Clinical relevance statement

Due to the low sensitivity of ultrasound for hepatocellular screening, new screening methods are needed. Abbreviated MRI (AMRI) is a candidate, especially non-contrast AMRI with serum alpha foetoprotein as the acquisition time is low, without the need for contrast medium injection.

Key points

• Dynamic contrast-enhanced abbreviated MRI using extracellular gadolinium-based contrast agent and complete MRI have similar diagnostic performance for hepatocellular carcinoma detection in an at-risk population. • Non-contrast abbreviated MRI with alpha foetoprotein has similar diagnostic performance to dynamic contrast-enhanced abbreviated MRI and complete MRI, including when considering small size hepatocellular carcinoma ≤ 2 cm. • Non-contrast abbreviated MRI and dynamic contrast-enhanced abbreviated MRI can be performed in 7 and 10 min, excluding patient setup time.

SUBMITTER: Girardet R

PROVIDER: S-EPMC10511584 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature

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Publications

The combination of non-contrast abbreviated MRI and alpha foetoprotein has high performance for hepatocellular carcinoma screening.

Girardet Raphaël R Dubois Margaux M Manasseh Gibran G Jreige Mario M Du Pasquier Céline C Canniff Emma E Gulizia Marianna M Bonvin Melissa M Aleman Yasser Y Taouli Bachir B Fraga Montserrat M Dromain Clarisse C Vietti Violi Naik N

European radiology 20230718 10

<h4>Objectives</h4>This study aimed to compare two abbreviated MRI (AMRI) protocols to complete MRI for HCC detection: non-contrast (NC)-AMRI without/with alpha foetoprotein (AFP) and dynamic contrast-enhanced (Dyn)-AMRI.<h4>Methods</h4>This retrospective single-center study included 351 patients (M/F: 264/87, mean age: 57y) with chronic liver disease, who underwent MRI for HCC surveillance between 2014 and 2020. Two reconstructed AMRI sets were obtained based on complete MRI: NC-AMRI (T2-weight ...[more]

PMID: 37464111

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Project description:BackgroundGiven the limited capacity and suboptimal sensitivity of ultrasonography (US), gadoxetic acid disodium (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI) demonstrates good diagnostic performance for hepatocellular carcinoma (HCC). Some researchers have proposed that the abbreviated MRI (AMRI) protocols have potential as a surveillance tool. However, few studies have compared multiple AMRI protocols with complete Gd-EOB-DTPA contrast-enhanced MRI for HCC surveillance. We aimed to explore and compare the diagnostic performance of 3 AMRI protocols as HCC surveillance in high-risk patients.MethodsThis multi-center, retrospective, blinded reader study conducted in China consecutively enrolled 339 patients with hepatitis and/or cirrhosis who underwent complete Gd-EOB-DTPA contrast-enhanced MRI for HCC surveillance from 2020 to 2023. We extracted 3 additional AMRI protocols: noncontrast-AMRI [NC-AMRI: T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI)]; dynamic-AMRI (Dyn-AMRI: early and late arterial phases, portal venous phase, and DWI); and hepatobiliary phase-AMRI (HBP-AMRI: T2WI, DWI, and HBP). Then, 2 independent radiologists assessed the AMRI and complete Gd-EOB-DTPA contrast-enhanced MRI protocols. Patients were classified as HCC positive/HCC negative based on the reference standard. Agreement was assessed using Kappa statistics. The acquisition time differences of the 4 MRI protocols were analyzed by analysis of variance (ANOVA). Per-lesion HCC diagnostic performances were compared by Cochran's Q test. Receiver operating characteristic (ROC) curves for the 3 AMRI protocols were evaluated, and the area under the ROC curve (AUROC) was calculated and compared by DeLong's test.ResultsA total of 353 lesions were detected in the 339 included patients, and 21/339 patients were diagnosed with HCC (prevalence, 6.2%). The inter-observer agreement was good for all 4 MRI protocols (k>0.75). Acquisition times differed significantly (P<0.001), from the shortest to the longest: NC-AMRI (263.44±5.05 s) < HBP-AMRI (269.18±4.93 s) < Dyn-AMRI (307.71±4.93 s) < complete Gd-EOB-DTPA contrast-enhanced MRI (582.03±3.59 s). The sensitivity (Cochran's Q=14.667, P=0.002) and specificity (Cochran's Q=59.682, P<0.001) of 4 MRI protocols were statistically significant. HBP-AMRI showed the highest sensitivity (84.00%), whereas Dyn-AMRI exhibited the highest specificity (99.39%) among 3 AMRI protocols. The per-lesion positive predictive value (PPV) for the NC-AMRI, Dyn-AMRI, and HBP-AMRI was 41.66%, 88.89%, and 47.72%, the corresponding negative predictive value (NPV) was 96.21%, 97.31%, and 98.70%, and the number needed to diagnose (NND) for the NC-AMRI, Dyn-AMRI, HBP-AMRI, and complete Gd-EOB-DTPA contrast-enhanced MRI was: 1.865, 1.577, 1.234, and 1.569, respectively. DeLong's test showed the AUROC value of either Dyn-AMRI or HBP-AMRI was significantly higher than that of NC-AMRI (Z=2.330, P=0.019; Z=2.680, P=0.007, respectively), but no significant difference between HBP-AMRI and Dyn-AMRI (Z=1.643, P=0.100).ConclusionsAMRI protocols can be implemented in clinical practice as a patient-centered and tailored regimen for HCC surveillance in China. NC-AMRI might become an optional tool due to its minimal scanning time, lower cost, and exemption from contrast agents. Dyn-AMRI, achieving the highest specificity, is a reliable surveillance strategy. HBP-AMRI as a favorable alternative showed a high sensitivity and NPV while maintaining considerable specificity and NND.

Project description:BackgroundHepatocellular carcinoma (HCC) is often diagnosed using gadoxetate disodium-enhanced magnetic resonance imaging (EOB-MRI). Standardized reporting according to the Liver Imaging Reporting and Data System (LI-RADS) can improve Gd-MRI interpretation but is rather complex and time-consuming. These limitations could potentially be alleviated using recent deep learning-based segmentation and classification methods such as nnU-Net. The study aims to create and evaluate an automatic segmentation model for HCC risk assessment, according to LI-RADS v2018 using nnU-Net.MethodsFor this single-center retrospective study, 602 patients at risk for HCC were included, who had dynamic EOB-MRI examinations between 05/2005 and 09/2022, containing ≥ LR-3 lesion(s). Manual lesion segmentations in semantic segmentation masks as LR-3, LR-4, LR-5 or LR-M served as ground truth. A set of U-Net models with 14 input channels was trained using the nnU-Net framework for automatic segmentation. Lesion detection, LI-RADS classification, and instance segmentation metrics were calculated by post-processing the semantic segmentation outputs of the final model ensemble. For the external evaluation, a modified version of the LiverHccSeg dataset was used.ResultsThe final training/internal test/external test cohorts included 383/219/16 patients. In the three cohorts, LI-RADS lesions (≥ LR-3 and LR-M) ≥ 10 mm were detected with sensitivities of 0.41-0.85/0.40-0.90/0.83 (LR-5: 0.85/0.90/0.83) and positive predictive values of 0.70-0.94/0.67-0.88/0.90 (LR-5: 0.94/0.88/0.90). F1 scores for LI-RADS classification of detected lesions ranged between 0.48-0.69/0.47-0.74/0.84 (LR-5: 0.69/0.74/0.84). Median per lesion Sørensen-Dice coefficients were between 0.61-0.74/0.52-0.77/0.84 (LR-5: 0.74/0.77/0.84).ConclusionDeep learning-based HCC risk assessment according to LI-RADS can be implemented as automatically generated tumor risk maps using out-of-the-box image segmentation tools with high detection performance for LR-5 lesions. Before translation into clinical practice, further improvements in automatic LI-RADS classification, for example through large multi-center studies, would be desirable.

Dataset Information

The combination of non-contrast abbreviated MRI and alpha foetoprotein has high performance for hepatocellular carcinoma screening.

Objectives

Methods

Results

Conclusions

Clinical relevance statement

Key points

Publications

The combination of non-contrast abbreviated MRI and alpha foetoprotein has high performance for hepatocellular carcinoma screening.

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