Dynamic Contrast Enhanced-MRI and Apparent Diffusion Coefficient Quantitation for Differentiate Hepatocellular Carcinoma from Hepatocellular Adenoma

Overview

Journal Asian Pac J Cancer Prev

Specialty Oncology

Date 2024 Mar 28

PMID 38546075

Authors

Hayder Suhail Najm Alareer

Hayder Jasim Taher

Ayoob Dinar Abdullah

Affiliations

Soon will be listed here.

Abstract

Background: Due to their overlapping radiological characteristics, hepatic lesions, such as hepatocellular carcinoma (HCC) and hepatocellular adenoma (HCA), present a substantial diagnostic challenge. Accurate differentiation between HCC and HCA is essential for the best clinical treatment and therapeutic decision-making. This study aims to assess the potential role of DCE-MRI and Apparent Diffusion Coefficient (ADC) quantitation in the diagnosis of hepatocellular carcinoma (HCC) from hepatocellular adenoma (HCA).

Methods: 103 patients (56 HCC, 47 HCA) with histopathologically proven hepatocellular lesions were the subjects of a cross-sectional investigation. A standardized imaging technique was used for DCE-MRI on all patients. Diffusion-weighted imaging (DWI) provided the ADC values. The diagnostic efficacy of DCE-MRI and ADC in differentiation was evaluated using statistical analyses, such as t-tests and receiver operating characteristic (ROC) curve analysis. SPSS VER 16 was used for the analysis of the collected data.

Results: A total of 103 patients (female: male= 52:51, 57.14±3.09 years) were included in the study. The study revealed significant differences in DCE-MRI parameters and ADC values between HCC and HCA lesions. ADC value was significantly lower in HCC than in HCA (p < 0.001). The area under the curve (AUC) was 0.78 (95% CI: 0.69-0.87) for ADC, 0.84 (95% CI: 0.76-0.91) for Ktrans, and 0.72 (95% CI: 0.62-0.82) for Ve. Sensitivity and specificity for ADC were 76.59% and 71.42%, respectively. Also, PPV and NPV of ADC were 69.23% and 78.43%, respectively. Sensitivity and specificity for Ktrans were 82.14% and 76.59%, respectively. Also, PPV and NPV of Ktrans were 80.7% and 78.26%, respectively.

Conclusion: In conclusion, DCE-MRI-derived parameters, along with ADC values, exhibit promise as non-invasive tools for differentiating HCC from HCA.

Citing Articles

The value of multiparameter MRI of early cervical cancer combined with SCC-Ag in predicting its pelvic lymph node metastasis.

Xu X, Liu F, Zhao X, Wang C, Li D, Kang L Front Oncol. 2024; 14:1417933.

PMID: 39323994 PMC: 11422008. DOI: 10.3389/fonc.2024.1417933.

References

Garcia-Figueiras R, Padhani A, Beer A, Baleato-Gonzalez S, Vilanova J, Luna A . Imaging of Tumor Angiogenesis for Radiologists--Part 1: Biological and Technical Basis. Curr Probl Diagn Radiol. 2015; 44(5):407-24. DOI: 10.1067/j.cpradiol.2015.02.010. View

Kim Y, Kim M, Choi S, You S, Yoo R, Kang K . Altered Vascular Permeability in Migraine-associated Brain Regions: Evaluation with Dynamic Contrast-enhanced MRI. Radiology. 2019; 292(3):713-720. DOI: 10.1148/radiol.2019182566. View

Kwon H, Byun J, Kim J, Hong G, Won H, Shin Y . Differentiation of small (≤2 cm) hepatocellular carcinomas from small benign nodules in cirrhotic liver on gadoxetic acid-enhanced and diffusion-weighted magnetic resonance images. Abdom Imaging. 2014; 40(1):64-75. DOI: 10.1007/s00261-014-0188-8. View

Cuenod C, Balvay D . Perfusion and vascular permeability: basic concepts and measurement in DCE-CT and DCE-MRI. Diagn Interv Imaging. 2013; 94(12):1187-204. DOI: 10.1016/j.diii.2013.10.010. View

Abdullah A, Amanpour-Gharaei B, Toosi M, Delazar S, Saligheh Rad H, Arian A . Comparing Texture Analysis of Apparent Diffusion Coefficient MRI in Hepatocellular Adenoma and Hepatocellular Carcinoma. Cureus. 2024; 16(1):e51443. PMC: 10829059. DOI: 10.7759/cureus.51443. View

Li J, Xue F, Xu X, Wang Q, Zhang X . Dynamic contrast-enhanced MRI differentiates hepatocellular carcinoma from hepatic metastasis of rectal cancer by extracting pharmacokinetic parameters and radiomic features. Exp Ther Med. 2020; 20(4):3643-3652. PMC: 7444351. DOI: 10.3892/etm.2020.9115. View

Ng S, Liao C, Lin C, Chan S, Lin Y, Yen T . Dynamic contrast-enhanced MRI, diffusion-weighted MRI and F-FDG PET/CT for the prediction of survival in oropharyngeal or hypopharyngeal squamous cell carcinoma treated with chemoradiation. Eur Radiol. 2016; 26(11):4162-4172. DOI: 10.1007/s00330-016-4276-8. View

Meyers N, Jadoul A, Bernard C, Delwaide J, Lamproye A, Detry O . Inter-observer variability of Y PET/CT dosimetry in hepatocellular carcinoma after glass microspheres transarterial radioembolization. EJNMMI Phys. 2020; 7(1):29. PMC: 7218042. DOI: 10.1186/s40658-020-00302-1. View

Bale R, Schullian P, Eberle G, Putzer D, Zoller H, Schneeberger S . Stereotactic Radiofrequency Ablation of Hepatocellular Carcinoma: a Histopathological Study in Explanted Livers. Hepatology. 2018; 70(3):840-850. PMC: 6766867. DOI: 10.1002/hep.30406. View

10.

Aronhime S, Calcagno C, Jajamovich G, Dyvorne H, Robson P, Dieterich D . DCE-MRI of the liver: effect of linear and nonlinear conversions on hepatic perfusion quantification and reproducibility. J Magn Reson Imaging. 2014; 40(1):90-8. PMC: 4058642. DOI: 10.1002/jmri.24341. View

11.

Chandrasekhar P, Rangasami R, Andrew C, Paarthipan N . Establishing and Comparing the Normal apparent Diffusion Coefficient Values of Fetal Organs and Placenta Using 1.5 Tesla and 3.0 T MRI at Various Gestational Age. Ethiop J Health Sci. 2024; 33(4):621-630. PMC: 11111180. DOI: 10.4314/ejhs.v33i4.8. View

12.

Zhang Y, Yang C, Sheng R, Dai Y, Zeng M . Preoperatively Identify the Microvascular Invasion of Hepatocellular Carcinoma with the Restricted Spectrum Imaging. Acad Radiol. 2023; 30 Suppl 1:S30-S39. DOI: 10.1016/j.acra.2023.06.010. View

13.

Motosugi U, Ichikawa T, Sou H, Sano K, Tominaga L, Muhi A . Distinguishing hypervascular pseudolesions of the liver from hypervascular hepatocellular carcinomas with gadoxetic acid-enhanced MR imaging. Radiology. 2010; 256(1):151-8. DOI: 10.1148/radiol.10091885. View

14.

Klompenhouwer A, de Man R, Dioguardi Burgio M, Vilgrain V, Zucman-Rossi J, IJzermans J . New insights in the management of Hepatocellular Adenoma. Liver Int. 2020; 40(7):1529-1537. PMC: 7383747. DOI: 10.1111/liv.14547. View

15.

Zheng R, Wang Q, Lv S, Li C, Wang C, Chen W . Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM. IEEE Trans Med Imaging. 2022; 41(10):2965-2976. DOI: 10.1109/TMI.2022.3175461. View

16.

Garcovich M, Faccia M, Meloni F, Bertolini E, de Sio I, Calabria G . Contrast-enhanced ultrasound patterns of hepatocellular adenoma: an Italian multicenter experience. J Ultrasound. 2018; 22(2):157-165. PMC: 6531526. DOI: 10.1007/s40477-018-0322-5. View

17.

Zhou Y, Zhou G, Zhang J, Xu C, Zhu F, Xu P . DCE-MRI based radiomics nomogram for preoperatively differentiating combined hepatocellular-cholangiocarcinoma from mass-forming intrahepatic cholangiocarcinoma. Eur Radiol. 2022; 32(7):5004-5015. DOI: 10.1007/s00330-022-08548-2. View

18.

Roytman M, Kim S, Glynn S, Thomas C, Lin E, Feltus W . PET/MR Imaging of Somatostatin Receptor Expression and Tumor Vascularity in Meningioma: Implications for Pathophysiology and Tumor Outcomes. Front Oncol. 2022; 11:820287. PMC: 8832502. DOI: 10.3389/fonc.2021.820287. View

19.

Preuss K, Thach N, Liang X, Baine M, Chen J, Zhang C . Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Applications. Cancers (Basel). 2022; 14(7). PMC: 8997008. DOI: 10.3390/cancers14071654. View

20.

Lewin M, Fartoux L, Vignaud A, Arrive L, Menu Y, Rosmorduc O . The diffusion-weighted imaging perfusion fraction f is a potential marker of sorafenib treatment in advanced hepatocellular carcinoma: a pilot study. Eur Radiol. 2010; 21(2):281-90. DOI: 10.1007/s00330-010-1914-4. View