AIMC Topic: Extranodal Extension

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Screening for extranodal extension in HPV-associated oropharyngeal carcinoma: evaluation of a CT-based deep learning algorithm in patient data from a multicentre, randomised de-escalation trial.

The Lancet. Digital health Apr 21, 2023
BACKGROUND: Pretreatment identification of pathological extranodal extension (ENE) would guide therapy de-escalation strategies for in human papillomavirus (HPV)-associated oropharyngeal carcinoma but is diagnostically challenging. ECOG-ACRIN Cancer ...
Humans Carcinoma Oropharyngeal Neoplasms Extranodal Extension Human Papillomavirus Viruses Tomography, X-Ray Computed Deep Learning Papillomavirus Infections Algorithms Retrospective Studies
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Machine Learning Prediction of Extracapsular Extension in Human Papillomavirus-Associated Oropharyngeal Squamous Cell Carcinoma.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Jun 30, 2020
OBJECTIVE: To determine whether machine learning (ML) can predict the presence of extracapsular extension (ECE) prior to treatment, using common oncologic variables, in patients with human papillomavirus (HPV)-associated oropharyngeal squamous cell c...
Middle Aged ROC Curve Papillomavirus Infections Female Aged Male Alphapapillomavirus Extranodal Extension Logistic Models Squamous Cell Carcinoma of Head and Neck Oropharyngeal Neoplasms Humans Machine Learning Databases, Factual Prognosis Retrospective Studies
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Reply to A.B. Simon et al.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Apr 9, 2020
Humans Deep Learning Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Extranodal Extension
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Challenge of Directly Comparing Imaging-Based Diagnoses Made by Machine Learning Algorithms With Those Made by Human Clinicians.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Apr 9, 2020
Extranodal Extension Deep Learning Humans Squamous Cell Carcinoma of Head and Neck Machine Learning Head and Neck Neoplasms Algorithms
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Alpha Test of Intelligent Machine Learning in Staging Head and Neck Cancer.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Mar 2, 2020
Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Extranodal Extension Humans Machine Learning Deep Learning
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Preoperative prediction of tumour deposits in rectal cancer by an artificial neural network-based US radiomics model.

European radiology Dec 11, 2019
OBJECTIVE: To develop a machine learning-based ultrasound (US) radiomics model for predicting tumour deposits (TDs) preoperatively.
Aged Humans Adult Neural Networks, Computer Rectal Neoplasms Male Prospective Studies Machine Learning Preoperative Period Middle Aged Female Extranodal Extension Ultrasonography Magnetic Resonance Imaging
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Multi-Institutional Validation of Deep Learning for Pretreatment Identification of Extranodal Extension in Head and Neck Squamous Cell Carcinoma.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Dec 9, 2019
PURPOSE: Extranodal extension (ENE) is a well-established poor prognosticator and an indication for adjuvant treatment escalation in patients with head and neck squamous cell carcinoma (HNSCC). Identification of ENE on pretreatment imaging represents...
Lymph Nodes Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Lymphatic Metastasis Neoplasm Staging Extranodal Extension Reproducibility of Results Deep Learning ROC Curve Humans Tomography, X-Ray Computed
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CT evaluation of extranodal extension of cervical lymph node metastases in patients with oral squamous cell carcinoma using deep learning classification.

Oral radiology Jun 13, 2019
OBJECTIVE: To clarify CT diagnostic performance in extranodal extension of cervical lymph node metastases using deep learning classification.
Lymphatic Metastasis Humans Mouth Neoplasms Carcinoma, Squamous Cell Tomography, X-Ray Computed Extranodal Extension Deep Learning Lymph Nodes
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Multimodal imaging deep learning model for predicting extraprostatic extension in prostate cancer using MpMRI and 18 F-PSMA-PET/CT.

Cancer imaging : the official publication of the International Cancer Imaging Society Aug 19, 2025
OBJECTIVE: This study aimed to construct a multimodal imaging deep learning (DL) model integrating mpMRI and F-PSMA-PET/CT for the prediction of extraprostatic extension (EPE) in prostate cancer, and to assess its effectiveness in enhancing the diagn...
Prostatectomy Humans Aged Deep Learning Retrospective Studies Prostatic Neoplasms Multiparametric Magnetic Resonance Imaging Male Multimodal Imaging Radiopharmaceuticals Extranodal Extension Middle Aged Fluorine Radioisotopes Positron Emission Tomography Computed Tomography
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