en عمومى General كاربردي review article <span style="font-size:12pt"><span style="text-justify:inter-ideograph"><span style="line-height:16.0pt"><span new="" roman="" style="font-family:" times=""><b><i><span style="font-size:9.0pt">Background & Aims</span></i></b><b><span style="font-size:9.0pt">: </span></b><span style="font-size:9.0pt">Hepatocellular carcinoma (HCC) is a major global health concern, ranking sixth among prevalent cancers worldwide and third in cancer-related deaths. Despite diagnostic advancements, prognosis remains challenging. Traditional methods rely on postoperative pathology, limiting preoperative decision-making. Radiomics offers a solution by extracting imaging data to predict outcomes before surgery, aiding personalized treatment decisions. </span></span></span></span></span><br> <span style="font-size:12pt"><span style="text-justify:inter-ideograph"><span style="line-height:16.0pt"><span new="" roman="" style="font-family:" times=""><b><i><span style="font-size:9.0pt">Materials & Methods</span></i></b><b><span style="font-size:9.0pt">:</span></b><span style="font-size:9.0pt"> A PubMed search spanning from May 2019 to June 2024 was conducted to identify relevant peer-reviewed articles using the keywords:&nbsp;&quot;radiomics,&quot; &quot;MRI,&quot; &quot;hepatocellular carcinoma,&quot; &quot;HCC,&quot; &quot;radiomics features,&quot; &quot;liver cancer imaging,&quot; &quot;tumor segmentation,&quot; &quot;treatment response,&quot;&nbsp;and&nbsp;&quot;HCC prognosis.&quot;&nbsp;The search yielded a total of 850 articles. After an initial screening based on titles and abstracts, 150 full-text articles were reviewed, and 35 articles were selected for inclusion in this review. The review focused on highlighting the utility of radiomics features on MRI across various aspects of HCC management. </span></span></span></span></span><br> <span style="font-size:12pt"><span style="text-justify:inter-ideograph"><span style="line-height:16.0pt"><span new="" roman="" style="font-family:" times=""><b><i><span style="font-size:9.0pt">Results</span></i></b><b><span style="font-size:9.0pt">:</span></b><span style="font-size:9.0pt"> This review highlights MRI radiomics&#39; extensive utility in managing HCC. It aids in diagnosis, treatment decision-making, and prognosis prediction by analyzing imaging data noninvasively. MRI radiomics informs differential diagnosis, histological grading, microvascular invasion assessment, gene expression prediction, therapeutic monitoring, and prognostic evaluation. Its transformative potential offers clinicians a comprehensive toolset for personalized care and improved patient outcomes in HCC management. </span></span></span></span></span><br> <span style="font-size:12pt"><span style="text-justify:inter-ideograph"><span style="line-height:16.0pt"><span new="" roman="" style="font-family:" times=""><b><i><span style="font-size:9.0pt">Conclusion</span></i></b><b><span style="font-size:9.0pt">: </span></b><span style="font-size:9.0pt">MRI radiomics holds promise as a noninvasive tool for improving the diagnosis and treatment of HCC. Its ability to extract comprehensive imaging data enables clinicians to make personalized treatment decisions, potentially improving patient outcomes. Further research and clinical validation are warranted to fully integrate MRI radiomics into routine clinical practice for HCC management. </span></span></span></span></span><span style="font-size:12pt"><span style="background:#d9d9d9"><span style="text-justify:inter-ideograph"><span style="line-height:16.0pt"><span new="" roman="" style="font-family:" times=""><b><span style="font-size:9.0pt"></span></b></span></span></span></span></span> Diagnostic techniques, Hepatocellular Carcinoma, Magnetic resonance imaging, Radiomics, Microvascular invasion 19 31 http://ijrabms.umsu.ac.ir/browse.php?a_code=A-10-404-1&slc_lang=en&sid=1 Sakarie Mustafe Hidig hidig2015@icloud.com 10031947532846003980 10031947532846003980 Yes Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang Province, People's Republic of China Hannan Samtar hannansamatar_92@hotmail.co.uk 10031947532846003981 0009-0009-1989-6824 No Department of Cardiology, Macclesfield District General Hospital, Cheshire, United Kingdom Fidele Kakule Kitaghenda kfidelenever@icloud.com 10031947532846003982 10031947532846003982 No Department of Gastrointestinal Surgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, People's Republic of China Mohamed Abdifatah Mohamed Zakiabdifatah95@gmail.com 10031947532846003983 10031947532846003983 No Department of Cardiovascular Surgery, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Province, 250014, PR. China.