Deep learning with radiomics for disease diagnosis and treatment: challenges and potential

X Zhang, Y Zhang, G Zhang, X Qiu, W Tan, X Yin… - Frontiers in …, 2022 - frontiersin.org
The high-throughput extraction of quantitative imaging features from medical images for the
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly developing and …

Radiomics models for predicting microvascular invasion in hepatocellular carcinoma: a systematic review and radiomics quality score assessment

Q Wang, C Li, J Zhang, X Hu, Y Fan, K Ma, E Sparrelid… - Cancers, 2021 - mdpi.com
Simple Summary Microvascular invasion (MVI) is regarded as a sign of early metastasis in
liver cancer and can be only diagnosed by a histopathology exam in the resected specimen …

Deep learning nomogram based on Gd-EOB-DTPA MRI for predicting early recurrence in hepatocellular carcinoma after hepatectomy

M Yan, X Zhang, B Zhang, Z Geng, C Xie, W Yang… - European …, 2023 - Springer
Objectives The accurate prediction of post-hepatectomy early recurrence in patients with
hepatocellular carcinoma (HCC) is crucial for decision-making regarding postoperative …

The role of radiomics and AI technologies in the segmentation, detection, and management of hepatocellular carcinoma

D Fahmy, A Alksas, A Elnakib, A Mahmoud, H Kandil… - Cancers, 2022 - mdpi.com
Simple Summary As a primary hepatic tumor, hepatocellular carcinoma (HCC) is the most
prevalent kind. Recent developments in magnetic resonance imaging (MRI) and computed …

A cox nomogram for assessing recurrence free survival in hepatocellular carcinoma following surgical resection using dynamic contrastenhanced MRI radiomics

X Cao, H Yang, X Luo, L Zou, Q Zhang… - Journal of Magnetic …, 2023 - Wiley Online Library
Background The prognosis of hepatocellular carcinoma (HCC) is difficult to predict and
carries high mortality. This study utilized radiomic techniques with clinical examinations to …

Radiomics for the preoperative evaluation of microvascular invasion in hepatocellular carcinoma: a meta-analysis

L Li, C Wu, Y Huang, J Chen, D Ye, Z Su - Frontiers in Oncology, 2022 - frontiersin.org
Background Microvascular invasion (MVI) is an independent risk factor for postoperative
recurrence of hepatocellular carcinoma (HCC). To perform a meta-analysis to investigate the …

[HTML][HTML] Developing and validating a deep learning and radiomic model for glioma grading using multiplanar reconstructed magnetic resonance contrast-enhanced T1 …

J Ding, R Zhao, Q Qiu, J Chen, J Duan… - Quantitative imaging in …, 2022 - ncbi.nlm.nih.gov
Background Although surgical pathology or biopsy are considered the gold standard for
glioma grading, these procedures have limitations. This study set out to evaluate and …

Progress of MRI radiomics in hepatocellular carcinoma

XQ Gong, YY Tao, YK Wu, N Liu, X Yu, R Wang… - Frontiers in …, 2021 - frontiersin.org
Background Hepatocellular 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 …

Quality of radiomics for predicting microvascular invasion in hepatocellular carcinoma: a systematic review

E Yuan, Y Chen, B Song - European Radiology, 2023 - Springer
Objectives To comprehensively evaluate the reporting quality, risk of bias, and radiomics
methodology quality of radiomics models for predicting microvascular invasion in …

Radiomics: A radiological evidence-based artificial intelligence technique to facilitate personalized precision medicine in hepatocellular carcinoma

J Wei, H Jiang, Y Zhou, J Tian, FS Furtado… - Digestive and Liver …, 2023 - Elsevier
The high postoperative recurrence rates in hepatocellular carcinoma (HCC) remain a major
hurdle in its management. Appropriate staging and treatment selection may alleviate the …