Progress of MRI Radiomics in Hepatocellular Carcinoma
BackgroundHepatocellular carcinoma (HCC) is the sixth most common cancer in the world and the third leading cause of cancer-related death. Although the diagnostic scheme of HCC is currently undergoing refinement, the prognosis of HCC is still not satisfactory. In addition to certain factors, such as...
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Frontiers Media S.A.
2021-09-01
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Series: | Frontiers in Oncology |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2021.698373/full |
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Article |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xue-Qin Gong Yun-Yun Tao Yao–Kun Wu Ning Liu Xi Yu Ran Wang Jing Zheng Nian Liu Xiao-Hua Huang Jing-Dong Li Gang Yang Xiao-Qin Wei Lin Yang Xiao-Ming Zhang |
spellingShingle |
Xue-Qin Gong Yun-Yun Tao Yao–Kun Wu Ning Liu Xi Yu Ran Wang Jing Zheng Nian Liu Xiao-Hua Huang Jing-Dong Li Gang Yang Xiao-Qin Wei Lin Yang Xiao-Ming Zhang Progress of MRI Radiomics in Hepatocellular Carcinoma Frontiers in Oncology hepatocellular carcinoma magnetic resonance imaging intravoxel incoherent motion radiomics immune checkpoint inhibitors target therapies |
author_facet |
Xue-Qin Gong Yun-Yun Tao Yao–Kun Wu Ning Liu Xi Yu Ran Wang Jing Zheng Nian Liu Xiao-Hua Huang Jing-Dong Li Gang Yang Xiao-Qin Wei Lin Yang Xiao-Ming Zhang |
author_sort |
Xue-Qin Gong |
title |
Progress of MRI Radiomics in Hepatocellular Carcinoma |
title_short |
Progress of MRI Radiomics in Hepatocellular Carcinoma |
title_full |
Progress of MRI Radiomics in Hepatocellular Carcinoma |
title_fullStr |
Progress of MRI Radiomics in Hepatocellular Carcinoma |
title_full_unstemmed |
Progress of MRI Radiomics in Hepatocellular Carcinoma |
title_sort |
progress of mri radiomics in hepatocellular carcinoma |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Oncology |
issn |
2234-943X |
publishDate |
2021-09-01 |
description |
BackgroundHepatocellular carcinoma (HCC) is the sixth most common cancer in the world and the third leading cause of cancer-related death. Although the diagnostic scheme of HCC is currently undergoing refinement, the prognosis of HCC is still not satisfactory. In addition to certain factors, such as tumor size and number and vascular invasion displayed on traditional imaging, some histopathological features and gene expression parameters are also important for the prognosis of HCC patients. However, most parameters are based on postoperative pathological examinations, which cannot help with preoperative decision-making. As a new field, radiomics extracts high-throughput imaging data from different types of images to build models and predict clinical outcomes noninvasively before surgery, rendering it a powerful aid for making personalized treatment decisions preoperatively.ObjectiveThis study reviewed the workflow of radiomics and the research progress on magnetic resonance imaging (MRI) radiomics in the diagnosis and treatment of HCC.MethodsA literature review was conducted by searching PubMed for search of relevant peer-reviewed articles published from May 2017 to June 2021.The search keywords included HCC, MRI, radiomics, deep learning, artificial intelligence, machine learning, neural network, texture analysis, diagnosis, histopathology, microvascular invasion, surgical resection, radiofrequency, recurrence, relapse, transarterial chemoembolization, targeted therapy, immunotherapy, therapeutic response, and prognosis.ResultsRadiomics features on MRI can be used as biomarkers to determine the differential diagnosis, histological grade, microvascular invasion status, gene expression status, local and systemic therapeutic responses, and prognosis of HCC patients.ConclusionRadiomics is a promising new imaging method. MRI radiomics has high application value in the diagnosis and treatment of HCC. |
topic |
hepatocellular carcinoma magnetic resonance imaging intravoxel incoherent motion radiomics immune checkpoint inhibitors target therapies |
url |
https://www.frontiersin.org/articles/10.3389/fonc.2021.698373/full |
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doaj-d8fdcf504310422fb356bc94bb85517d2021-09-20T05:47:53ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-09-011110.3389/fonc.2021.698373698373Progress of MRI Radiomics in Hepatocellular CarcinomaXue-Qin Gong0Yun-Yun Tao1Yao–Kun Wu2Ning Liu3Xi Yu4Ran Wang5Jing Zheng6Nian Liu7Xiao-Hua Huang8Jing-Dong Li9Gang Yang10Xiao-Qin Wei11Lin Yang12Xiao-Ming Zhang13Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, ChinaMedical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, ChinaMedical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, ChinaMedical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, ChinaMedical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, ChinaMedical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, ChinaMedical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, ChinaMedical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, ChinaMedical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, ChinaDepartment of Hepatocellular Surgery, Institute of Hepato-Biliary-Intestinal Disease, Affiliated Hospital of North Sichuan Medical College, Nanchong, ChinaDepartment of Hepatocellular Surgery, Institute of Hepato-Biliary-Intestinal Disease, Affiliated Hospital of North Sichuan Medical College, Nanchong, ChinaSchool of Medical Imaging, North Sichuan Medical College, Nanchong, ChinaMedical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, ChinaMedical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, ChinaBackgroundHepatocellular carcinoma (HCC) is the sixth most common cancer in the world and the third leading cause of cancer-related death. Although the diagnostic scheme of HCC is currently undergoing refinement, the prognosis of HCC is still not satisfactory. In addition to certain factors, such as tumor size and number and vascular invasion displayed on traditional imaging, some histopathological features and gene expression parameters are also important for the prognosis of HCC patients. However, most parameters are based on postoperative pathological examinations, which cannot help with preoperative decision-making. As a new field, radiomics extracts high-throughput imaging data from different types of images to build models and predict clinical outcomes noninvasively before surgery, rendering it a powerful aid for making personalized treatment decisions preoperatively.ObjectiveThis study reviewed the workflow of radiomics and the research progress on magnetic resonance imaging (MRI) radiomics in the diagnosis and treatment of HCC.MethodsA literature review was conducted by searching PubMed for search of relevant peer-reviewed articles published from May 2017 to June 2021.The search keywords included HCC, MRI, radiomics, deep learning, artificial intelligence, machine learning, neural network, texture analysis, diagnosis, histopathology, microvascular invasion, surgical resection, radiofrequency, recurrence, relapse, transarterial chemoembolization, targeted therapy, immunotherapy, therapeutic response, and prognosis.ResultsRadiomics features on MRI can be used as biomarkers to determine the differential diagnosis, histological grade, microvascular invasion status, gene expression status, local and systemic therapeutic responses, and prognosis of HCC patients.ConclusionRadiomics is a promising new imaging method. MRI radiomics has high application value in the diagnosis and treatment of HCC.https://www.frontiersin.org/articles/10.3389/fonc.2021.698373/fullhepatocellular carcinomamagnetic resonance imagingintravoxel incoherent motionradiomicsimmune checkpoint inhibitorstarget therapies |