Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives

NN Zhong, HQ Wang, XY Huang, ZZ Li, LM Cao… - Seminars in Cancer …, 2023 - Elsevier
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

Current applications of artificial intelligence to classify cervical lymph nodes in patients with head and neck squamous cell carcinoma—a systematic review

M Santer, M Kloppenburg, TM Gottfried, A Runge… - Cancers, 2022 - mdpi.com
Simple Summary Locally-advanced head and neck squamous cell carcinoma (HNSCC) is
mainly defined by the presence of pathologic cervical lymph nodes (LNs). Radiologic criteria …

[HTML][HTML] Radiomics and radiogenomics in head and neck squamous cell carcinoma: Potential contribution to patient management and challenges

G Bruixola, E Remacha, A Jiménez-Pastor… - Cancer Treatment …, 2021 - Elsevier
The application of imaging biomarkers in oncology is still in its infancy, but with the
expansion of radiomics and radiogenomics a revolution is expected in this field. This may be …

Radiomics analysis of dual-energy CT-derived iodine maps for diagnosing metastatic cervical lymph nodes in patients with papillary thyroid cancer

Y Zhou, GY Su, H Hu, YQ Ge, Y Si, MP Shen, XQ Xu… - European …, 2020 - Springer
Objective To investigate the value of radiomics analysis of dual-energy computed
tomography (DECT)–derived iodine maps for preoperative diagnosing cervical lymph nodes …

Radiomics analysis of multiparametric MRI for the preoperative prediction of lymph node metastasis in cervical cancer

L Hou, W Zhou, J Ren, X Du, L Xin, X Zhao… - Frontiers in …, 2020 - frontiersin.org
Objective: To develop and validate a radiomics predictive model based on multiparameter
MR imaging features and clinical features to predict lymph node metastasis (LNM) in …

Application of machine learning model to predict osteoporosis based on abdominal computed tomography images of the psoas muscle: a retrospective study

C Huang, J Hu, K Tan, W Zhang, T Xu, L Yang - BMC geriatrics, 2022 - Springer
Background With rapid economic development, the world's average life expectancy is
increasing, leading to the increasing prevalence of osteoporosis worldwide. However, due …

Current status and quality of radiomics studies in lymphoma: a systematic review

H Wang, Y Zhou, L Li, W Hou, X Ma, R Tian - European Radiology, 2020 - Springer
Objectives To perform a systematic review regarding the developments in the field of
radiomics in lymphoma. To evaluate the quality of included articles by the Quality …

Texture analysis based on U-Net neural network for intracranial hemorrhage identification predicts early enlargement

Y Liu, Q Fang, A Jiang, Q Meng, G Pang… - Computer Methods and …, 2021 - Elsevier
Background and objective Early hemorrhage enlargement in hypertensive cerebral
hemorrhage indicates a poor prognosis. This study aims to predict the early enlargement of …

Virtual Monoenergetic Images of Dual-Energy CT—Impact on Repeatability, Reproducibility, and Classification in Radiomics

A Euler, FC Laqua, D Cester, N Lohaus, T Sartoretti… - Cancers, 2021 - mdpi.com
Simple Summary Virtual monoenergetic images from dual-energy CT are incrementally
used in routine clinical practice. Thus, radiomic analysis will be more often performed on …

Imaging analytics using artificial intelligence in oncology: a comprehensive review

N Chakrabarty, A Mahajan - Clinical Oncology, 2023 - Elsevier
The present era has seen a surge in artificial intelligence-related research in oncology,
mainly using deep learning, because of powerful computer hardware, improved algorithms …