[HTML][HTML] Role of radiomics in the diagnosis and treatment of gastrointestinal cancer

Q Mao, MT Zhou, ZP Zhao, N Liu, L Yang… - World journal of …, 2022 - ncbi.nlm.nih.gov
Gastrointestinal cancer (GIC) has high morbidity and mortality as one of the main causes of
cancer death. Preoperative risk stratification is critical to guide patient management, but …

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 …

[HTML][HTML] Multimodality radiomics for tumor prognosis in nasopharyngeal carcinoma

S Khongwirotphan, S Oonsiri, S Kitpanit, A Prayongrat… - Plos one, 2024 - journals.plos.org
Background The prognosis of nasopharyngeal carcinoma (NPC) is challenging due to late-
stage identification and frequently undetectable Epstein-Barr virus (EBV) DNA. Incorporating …

[HTML][HTML] A radiomics nomogram for predicting cytokeratin 19–positive hepatocellular carcinoma: a two-center study

L Zhang, H Zhou, X Zhang, Z Ding, J Xu - Frontiers in Oncology, 2023 - frontiersin.org
Objectives We aimed to construct and validate a radiomics-based nomogram model derived
from gadoxetic acid–enhanced magnetic resonance (MR) images to predict cytokeratin (CK) …

MM-SurvNet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion

RK Mondol, EKA Millar, A Sowmya… - arXiv preprint arXiv …, 2024 - arxiv.org
Survival risk stratification is an important step in clinical decision making for breast cancer
management. We propose a novel deep learning approach for this purpose by integrating …

[PDF][PDF] Unlocking the future: machine learning sheds light on prognostication for early-stage hepatocellular carcinoma

J Dai, JCT Lai, GLH Wong, TCF Yip - Clinical and molecular hepatology, 2024 - e-cmh.org
Patients with hepatocellular carcinoma (HCC) have different prognoses with regard to the
staging of the disease. The Barcelona Clinic of Liver Cancer (BCLC) algorithm is the most …

Multiphase MRI‐Based Radiomics for Predicting Histological Grade of Hepatocellular Carcinoma

Y Yan, Z Si, C Chun, P Chao‐qun, M Ke… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Hepatocellular carcinoma (HCC) is a highly heterogeneous cancer. Accurate
preoperative prediction of histological grade holds potential for improving clinical …

[HTML][HTML] Characterization of somatic mutations and pathway alterations during hepatocellular carcinoma vascular invasion using next-generation sequencing

Q Li, Q Zhang, J Chen, M Zang, X Hu, R Li… - Journal of …, 2022 - ncbi.nlm.nih.gov
Background Vascular invasion is an independent risk factors for recurrence and poor
prognosis in patients with hepatocellular carcinoma (HCC). However, the molecular …

[HTML][HTML] Current status of magnetic resonance imaging radiomics in hepatocellular carcinoma: A quantitative review with Radiomics Quality Score

V Brancato, M Cerrone, N Garbino… - World Journal of …, 2024 - ncbi.nlm.nih.gov
BACKGROUND Radiomics is a promising tool that may increase the value of magnetic
resonance imaging (MRI) for different tasks related to the management of patients with …

[HTML][HTML] What Imaging Modality Is More Effective in Predicting Early Recurrence of Hepatocellular Carcinoma after Hepatectomy Using Radiomics Analysis: CT or MRI …

Q Wang, Y Sheng, Z Jiang, H Liu, H Lu, W Xing - Diagnostics, 2023 - mdpi.com
Background: It is of great importance to predict the early recurrence (ER) of hepatocellular
carcinoma (HCC) after hepatectomy using preoperative imaging modalities. Nevertheless …