Current state of artificial intelligence in clinical applications for head and neck MR imaging

N Fujima, K Kamagata, D Ueda, S Fujita… - … Resonance in Medical …, 2023 - jstage.jst.go.jp
Due primarily to the excellent soft tissue contrast depictions provided by MRI, the
widespread application of head and neck MRI in clinical practice serves to assess various …

[HTML][HTML] MRI-based radiomic prognostic signature for locally advanced oral cavity squamous cell carcinoma: development, testing and comparison with genomic …

A Corti, L De Cecco, S Cavalieri, D Lenoci, F Pistore… - Biomarker …, 2023 - Springer
Background. At present, the prognostic prediction in advanced oral cavity squamous cell
carcinoma (OCSCC) is based on the tumor-node-metastasis (TNM) staging system, and the …

[HTML][HTML] Fully automated segmentation and radiomics feature extraction of hypopharyngeal cancer on MRI using deep learning

YC Lin, G Lin, S Pandey, CH Yeh, JJ Wang, CY Lin… - European …, 2023 - Springer
Objectives To use convolutional neural network for fully automated segmentation and
radiomics features extraction of hypopharyngeal cancer (HPC) tumor in MRI. Methods MR …

A CT-based deep learning radiomics nomogram to predict histological grades of head and neck squamous cell carcinoma

Y Zheng, J Che, M Yuan, Z Wu, J Pang, R Zhou, X Li… - Academic …, 2023 - Elsevier
Rationale and Objectives Accurate pretreatment assessment of histological differentiation
grade of head and neck squamous cell carcinoma (HNSCC) is crucial for prognosis …

CT radiomics nomogram for prediction of the Ki-67 index in head and neck squamous cell carcinoma

Y Zheng, J Chen, M Zhang, Z Wu, GZ Tang, Y Zhang… - European …, 2023 - Springer
Objectives To construct and validate a contrast-enhanced computed tomography (CECT)–
based radiomics nomogram to predict Ki-67 expression level in head and neck squamous …

Deep learning for cancer prognosis prediction using portrait photos by StyleGAN embedding

A Hagag, A Gomaa, D Kornek, A Maier… - arXiv preprint arXiv …, 2023 - arxiv.org
urvival prediction for cancer patients is critical for optimal treatment selection and patient
management. Current patient survival prediction methods typically extract survival …

[HTML][HTML] MRI-based radiomics analysis for preoperative evaluation of lymph node metastasis in hypopharyngeal squamous cell carcinoma

S Lu, H Ling, J Chen, L Tan, Y Gao, H Li, P Tan… - Frontiers in …, 2022 - frontiersin.org
Objective To investigate the role of pre-treatment magnetic resonance imaging (MRI)
radiomics for the preoperative prediction of lymph node (LN) metastasis in patients with …

A computed tomography–based radiomics signature for predicting expression of programmed death ligand 1 in head and neck squamous cell carcinoma

Y Zheng, M Yuan, R Zhou, F Hou, J Zhan, N Liu… - European …, 2022 - Springer
Objectives Accurate prediction of the expression of programmed death ligand 1 (PD-L1) in
head and neck squamous cell carcinoma (HNSCC) before immunotherapy is crucial. This …

A CT-based deep learning radiomics nomogram for the prediction of EGFR mutation status in head and neck squamous cell carcinoma

Y Zheng, J Pang, Z Liu, M Yuan, J Li, Z Wu, Y Jiang… - Academic …, 2024 - Elsevier
Rationale and Objectives Accurately assessing epidermal growth factor receptor (EGFR)
mutation status in head and neck squamous cell carcinoma (HNSCC) patients is crucial for …

[HTML][HTML] An MRI-based radiomics nomogram for detecting cervical esophagus invasion in hypopharyngeal squamous cell carcinoma

M Qi, Y Sha, D Zhang, J Ren - Cancer Imaging, 2023 - Springer
Background Accurate detection of cervical esophagus invasion (CEI) in HPSCC is
challenging but crucial. We aimed to investigate the value of magnetic resonance imaging …