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Original article
New hallmark of hepatocellular carcinoma, early hepatocellular carcinoma and high-grade dysplastic nodules on Gd-EOB-DTPA MRI in patients with cirrhosis: a new diagnostic algorithm
  1. Matteo Renzulli1,
  2. Maurizio Biselli2,
  3. Stefano Brocchi1,
  4. Alessandro Granito3,
  5. Francesco Vasuri4,
  6. Francesco Tovoli3,
  7. Elisa Sessagesimi1,
  8. Fabio Piscaglia3,
  9. Antonietta D’Errico4,
  10. Luigi Bolondi3,
  11. Rita Golfieri1
  1. 1 Radiology Unit, Department of Diagnostic Medicine and Prevention, Sant’Orsola Hospital, University of Bologna, Bologna, Italy
  2. 2 Department of Medical and Surgical Sciences, Sant’Orsola Hospital, University of Bologna, Bologna, Italy
  3. 3 Unit of Internal Medicine, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
  4. 4 ‘F Addarii’ Institute of Oncology and Transplantation Pathology, Sant’Orsola Hospital, University of Bologna, Bologna, Italy
  1. Correspondence to Dr Matteo Renzulli, Department of Medical and Surgical Sciences, Sant’Orsola Hospital, University of Bologna, Bologna 40126, Italy; matteo.renzulli{at}aosp.bo.it

Abstract

Objective Many improvements have been made in diagnosing hepatocellular carcinoma (HCC), but the radiological hallmarks of HCC have remained the same for many years. We prospectively evaluated the imaging criteria of HCC, early HCC and high-grade dysplastic nodules (HGDNs) in patients under surveillance for chronic liver disease, using gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) MRI and diffusion-weighted imaging.

Design Our study population included 420 nodules >1 cm in 228 patients. The MRI findings of each nodule were collected in all sequences/phases. The diagnosis of HCC was made according to the American Association for the Study of Liver Diseases (AASLD) criteria; all atypical nodules were diagnosed using histology.

Results A classification and regression tree was developed using three MRI findings which were independently significant correlated variables for early HCC/HCC, and the best sequence of their application in a new diagnostic algorithm (hepatobiliary hypointensity, arterial hyperintensity and diffusion restriction) was suggested. This algorithm demonstrated, both in the entire study population and for nodules ≤2 cm, higher sensitivity (96% [95% CI 93.5% to 97.6%] and 96.6% [95% CI 93.9% to 98.5%], P<0.001, respectively) and slightly lower specificity (91.8% [95% CI 88.6% to 94.1%], P=0.063, and 92.7% [95% CI 88.9% to 95.4%], P=0.125, respectively) than those of the AASLD criteria. Our new diagnostic algorithm also showed a very high sensitivity (94.7%; 95% CI 92% to 96.6%) and specificity (99.3%; 95% CI 97.7% to 99.8%) in classifying HGDN.

Conclusion Our new diagnostic algorithm demonstrated significantly higher sensitivity and comparable specificity than those of the AASLD imaging criteria for HCC in patients with cirrhosis evaluated using Gd-EOB-DTPA MRI, even for lesions ≤2 cm. Moreover, this diagnostic algorithm allowed evaluating other lesions which could arise in a cirrhotic liver, such as early HCC and HGDN.

  • hepatocellular carcinoma
  • dysplasia
  • MRI
  • hepatobiliary radiology

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Footnotes

  • MR and MB contributed equally.

  • Contributors MR: study design, data collection, analysis and management, paper drafting. MB: study design, data analysis and management, paper drafting. SB, ES: data collection and management. AG, FP, LB: patients management and critical revision. FT: data management and critical revision. FV, AD: histological data and critical revision. RG: data analysis and management and paper drafting.

  • Funding This work has been supported by the Programma di Ricerca Regione-Università 2013–2017 Regione Emilia-Romagna, bando ‘Ricerca Innovativa’ (Professor LB), project title ‘Innovative approaches to the diagnosis and pharmacogenetic-based therapies of primary hepatic tumours, peripheral B and T-cell lymphomas and lymphoblastic leukaemias’.

  • Disclaimer The funding agencies had no role in design, in the collection, analysis, and interpretation of data, in the writing of the manuscript or in the decision to submit the manuscript for publication.

  • Competing interests None declared.

  • Patient consent Obtained.

  • Ethics approval This study was approved by the institutional review board of Sant’Orsola Hospital.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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