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 …

Emerging perspectives of bone metastasis in hepatocellular carcinoma

X Yuan, M Zhuang, X Zhu, D Cheng, J Liu… - Frontiers in …, 2022 - frontiersin.org
Recent evidence suggests the global incidence and mortality of hepatocellular carcinoma
(HCC) are increasing. Although the highest incidence of HCC remains entrenched in WHO …

Use of radiomics containing an effective peritumoral area to predict early recurrence of solitary hepatocellular carcinoma≤ 5 cm in diameter

F Wang, M Cheng, B Du, L Li, W Huang… - Frontiers in Oncology, 2022 - frontiersin.org
Background Hepatocellular carcinoma (HCC) is the sixth leading type of cancer worldwide.
We aimed to develop a preoperative predictive model of the risk of early tumor recurrence …

Beyond multiparametric MRI and towards radiomics to detect prostate cancer: a machine learning model to predict clinically significant lesions

C Gaudiano, M Mottola, L Bianchi, B Corcioni… - Cancers, 2022 - mdpi.com
Simple Summary Early diagnosing clinically significant prostate cancer (csPCa) through
Magnetic Resonance Imaging (MRI) is very challenging and, nowadays, csPCa confirmation …

Preoperative and Prognostic Prediction of Microvascular Invasion in Hepatocellular Carcinoma: A Review Based on Artificial Intelligence

Y Jiang, K Wang, YR Wang, YJ Xiang… - … in Cancer Research …, 2023 - journals.sagepub.com
Microvascular invasion of hepatocellular carcinoma is an important factor affecting tumor
recurrence after liver resection and liver transplantation. There are many ways to classify …

Application of artificial intelligence radiomics in the diagnosis, treatment, and prognosis of hepatocellular carcinoma

Z Bo, J Song, Q He, B Chen, Z Chen, X Xie… - Computers in Biology …, 2024 - Elsevier
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer, with an
increasing incidence and poor prognosis. In the past decade, artificial intelligence (AI) …

An apparent diffusion coefficient-based machine learning model can improve prostate cancer detection in the grey area of the prostate imaging reporting and data …

C Gaudiano, M Mottola, L Bianchi, B Corcioni… - Cancers, 2023 - mdpi.com
Simple Summary Multiparametric Magnetic Resonance Imaging (mpMRI) interpretation and
reporting is based on the more recent version 2.1 of the Prostate Imaging-Reporting and …

Machine learning pipeline for the automated prediction of microvascularinvasion in hepatocellularcarcinomas

R Biondi, M Renzulli, R Golfieri, N Curti, G Carlini… - Applied Sciences, 2023 - mdpi.com
Background: Microvascular invasion (MVI) is a necessary step in the metastatic evolution of
hepatocellular carcinoma liver tumors. Predicting the onset of MVI in the initial stages of the …

Effectiveness of radiomic zot features in the automated discrimination of oncocytoma from clear cell renal cancer

G Carlini, C Gaudiano, R Golfieri, N Curti… - Journal of Personalized …, 2023 - mdpi.com
Background: Benign renal tumors, such as renal oncocytoma (RO), can be erroneously
diagnosed as malignant renal cell carcinomas (RCC), because of their similar imaging …

Preoperative Prediction and Risk Assessment of Microvascular Invasion in Hepatocellular Carcinoma

J Li, X Su, X Xu, C Zhao, A Liu, L Yang, B Song… - Critical Reviews in …, 2023 - Elsevier
Hepatocellular carcinoma (HCC) is one of the most common and highly lethal tumors
worldwide. Microvascular invasion (MVI) is a significant risk factor for recurrence and poor …