Diagnostic Efficacy of Diffusion Weighted MRI in Discriminating Between Benign and Malignant Hepatic Focal Lesions: A Comparative Study with Conventional Imaging Modalities
Abstract views: 389
/
PDF downloads: 76
DOI:
https://doi.org/10.61705/08n6bq58Keywords:
Hepatic focal lesions, diffusion weighted MRI, benign lesions, malignant lesions, diagnostic accuracyAbstract
Context: Making informed decisions about treatment and prognosis depends critically on the precise identification and description of hepatic localized lesions. Distinguishing between benign and malignant liver lesions has demonstrated potential with diffusion-weighted magnetic resonance imaging (DW-MRI).
Goal: to evaluate the effectiveness of DW-MRI in comparison to other imaging modalities and to determine its diagnostic accuracy in separating benign from malignant hepatic focal lesions.
Techniques: 150 individuals with hepatic focal lesions who had DW-MRIs between January 2019 and December 2022 were the subjects of a retrospective investigation. The reference standard for evaluating the diagnostic performance of DW-MRI was histological examination. The following metrics were computed: accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Conventional imaging modalities such as computed tomography (CT), conventional magnetic resonance imaging (MRI), and ultrasonography (US) were compared.
Findings: DW-MRI showed 92% sensitivity, 88% specificity, and 92% accuracy in separating benign from malignant liver lesions. 0.94 was the area under the ROC curve (AUC). A comparative study showed that DW-MRI performed better in terms of diagnosis than US, CT, and traditional MRI. For the purpose of distinguishing between benign and malignant lesions, the ideal apparent diffusion coefficient (ADC) cutoff values were 1.2 x10^-3 mm³/s for highest specificity and 1.1 x10^-3 mm²/s for maximum sensitivity.
Conclusion: When it comes to the diagnostic algorithm for hepatic focal lesions, DW-MRI is a useful tool since it performs better than traditional imaging modalities and has great diagnostic accuracy in differentiating between benign and malignant lesions.
Downloads
References
Li J, Yang Y. Clinical Study of Diffusion-Weighted Imaging in the Diagnosis of Liver Focal Lesion. J Med Syst. 2019 Jan 16;43(3):43. doi: 10.1007/s10916-019-1164-1. PMID: 30649629.
Donati F, Boraschi P, Pacciardi F, Cervelli R, Castagna M, Urbani L, Falaschi F, Caramella D. 3T diffusion-weighted MRI in the response assessment of colorectal liver metastases after chemotherapy: Correlation between ADC value and histological tumour regression grading. Eur J Radiol. 2017 Jun;91:57-65. doi: 10.1016/j.ejrad.2017.03.020. Epub 2017 Mar 29. PMID: 28629572.
Barral M, Taouli B, Guiu B, Koh DM, Luciani A, Manfredi R, Vilgrain V, Hoeffel C, Kanematsu M, Soyer P. Diffusion-weighted MR imaging of the pancreas: current status and recommendations. Radiology. 2015 Jan;274(1):45-63. doi: 10.1148/radiol.14130778. PMID: 25531479.
Lewis S, Kamath A, Chatterji M, Patel A, Shyknevsky I, Dyvorne HA, Kuehn B, Taouli B. Diffusion-weighted imaging of the liver in patients with chronic liver disease: comparison of monopolar and bipolar diffusion gradients for image quality and lesion detection. AJR Am J Roentgenol. 2015 Jan;204(1):59-68. doi: 10.2214/AJR.13.11695. PMID: 25539238.
Takayama Y, Nishie A, Asayama Y, Ishigami K, Kakihara D, Ushijima Y, Fujita N, Yoshiura T, Takemura A, Obara M, Takahara T, Honda H. Optimization and Clinical Feasibility of Free-breathing Diffusion-weighted Imaging of the Liver: Comparison with Respiratory-Triggered Diffusion-weighted Imaging. Magn Reson Med Sci. 2015;14(2):123-32. doi: 10.2463/mrms.2014-0032. Epub 2015 Feb 12. PMID: 25740235.
Parente DB, Paiva FF, Oliveira Neto JA, Machado-Silva L, Figueiredo FA, Lanzoni V, Campos CF, do Brasil PE, Gomes Mde B, Perez Rde M, Rodrigues RS. Intravoxel Incoherent Motion Diffusion Weighted MR Imaging at 3.0 T: Assessment of Steatohepatitis and Fibrosis Compared with Liver Biopsy in Type 2 Diabetic Patients. PLoS One. 2015 May 11;10(5):e0125653. doi: 10.1371/journal.pone.0125653. PMID: 25961735; PMCID: PMC4427182.
Rosenkrantz AB, Geppert C, Kiritsy M, Feiweier T, Mossa DJ, Chandarana H. Diffusion-weighted imaging of the liver: comparison of image quality between monopolar and bipolar acquisition schemes at 3T. Abdom Imaging. 2015 Feb;40(2):289-98. doi: 10.1007/s00261-014-0215-9. PMID: 25117562.
Hwang J, Kim YK, Jeong WK, Choi D, Rhim H, Lee WJ. Nonhypervascular Hypointense Nodules at Gadoxetic Acid-enhanced MR Imaging in Chronic Liver Disease: Diffusion-weighted Imaging for Characterization. Radiology. 2015 Jul;276(1):137-46. doi: 10.1148/radiol.15141350. Epub 2015 Feb 27. Erratum in: Radiology. 2015 Oct;277(1):309. PMID: 25734551.
Shan Y, Zeng MS, Liu K, Miao XY, Lin J, Fu Cx, Xu PJ. Comparison of Free-Breathing With Navigator-Triggered Technique in Diffusion Weighted Imaging for Evaluation of Small Hepatocellular Carcinoma: Effect on Image Quality and Intravoxel Incoherent Motion Parameters. J Comput Assist Tomogr. 2015 Sep-Oct;39(5):709-15. doi: 10.1097/RCT.0000000000000278. PMID: 26196345.
Farchione A, Rufini V, Brizi MG, Iacovazzo D, Larghi A, Massara RM, Petrone G, Poscia A, Treglia G, De Marinis L, Giordano A, Rindi G, Bonomo L. Evaluation of the Added Value of Diffusion-Weighted Imaging to Conventional Magnetic Resonance Imaging in Pancreatic Neuroendocrine Tumors and Comparison With 68Ga-DOTANOC Positron Emission Tomography/Computed Tomography. Pancreas. 2016 Mar;45(3):345-54. doi: 10.1097/MPA.0000000000000461. PMID: 26418904.
Lambregts DM, Martens MH, Quah RC, Nikiforaki K, Heijnen LA, Dejong CH, Beets GL, Marias K, Papanikolaou N, Beets-Tan RG. Whole-liver diffusion-weighted MRI histogram analysis: effect of the presence of colorectal hepatic metastases on the remaining liver parenchyma. Eur J Gastroenterol Hepatol. 2015 Apr;27(4):399-404. doi: 10.1097/MEG.0000000000000316. PMID: 25874512.
Chen T, Li Y, Lu SS, Zhang YD, Wang XN, Luo CY, Shi HB. Quantitative evaluation of diffusion-kurtosis imaging for grading endometrial carcinoma: a comparative study with diffusion-weighted imaging. Clin Radiol. 2017 Nov;72(11):995.e11-995.e20. doi: 10.1016/j.crad.2017.07.004. Epub 2017 Jul 31. PMID: 28774471.
Wang HY, Wang J, Tang YH, Ye HY, Ma L. Coronal diffusion-weighted magnetic resonance imaging of the kidney: agreement with axial diffusion-weighted magnetic imaging in terms of apparent diffusion coefficient values. Chin Med J (Engl). 2015 Feb 20;128(4):499-503. doi: 10.4103/0366-6999.151103. PMID: 25673453; PMCID: PMC4836254
Iwasa Y, Kitazume Y, Tateishi U, Saida Y, Ban D, Tanabe M, Takemoto A. Hepatocellular Carcinoma Histological Grade Prediction: A Quantitative Comparison of Diffusion-Weighted, T2-Weighted, and Hepatobiliary-Phase Magnetic Resonance Imaging. J Comput Assist Tomogr. 2016 May-Jun;40(3):463-70. doi: 10.1097/RCT.0000000000000367. PMID: 26938689.
Kakite S, Dyvorne H, Besa C, Cooper N, Facciuto M, Donnerhack C, Taouli B. Hepatocellular carcinoma: short-term reproducibility of apparent diffusion coefficient and intravoxel incoherent motion parameters at 3.0T. J Magn Reson Imaging. 2015 Jan;41(1):149-56. doi: 10.1002/jmri.24538. Epub 2014 Jan 10. PMID: 24415565.
Additional Files
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Medical Research

This work is licensed under a Creative Commons Attribution 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJMR open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.
