AIMC Topic: Neoplasm Staging

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Classification models for Invasive Ductal Carcinoma Progression, based on gene expression data-trained supervised machine learning.

Scientific reports Mar 5, 2020
Early detection of breast cancer and its correct stage determination are important for prognosis and rendering appropriate personalized clinical treatment to breast cancer patients. However, despite considerable efforts and progress, there is a need ...
Datasets as Topic Carcinoma, Ductal, Breast Microarray Analysis Gene Ontology RNA, Neoplasm Databases, Genetic Early Detection of Cancer Neoplasm Staging Models, Biological Supervised Machine Learning Humans Machine Learning Algorithms Female Reproducibility of Results Breast Neoplasms Transcriptome Protein Interaction Maps RNA-Seq
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Artificial neural networks allow response prediction in squamous cell carcinoma of the scalp treated with radiotherapy.

Journal of the European Academy of Dermatology and Venereology : JEADV Mar 4, 2020
BACKGROUND: Epithelial neoplasms of the scalp account for approximately 2% of all skin cancers and for about 10-20% of the tumours affecting the head and neck area. Radiotherapy is suggested for localized cutaneous squamous cell carcinomas (cSCC) wit...
Female Skin Neoplasms Carcinoma, Squamous Cell Aged Aged, 80 and over Humans Neural Networks, Computer Forecasting Phenotype Retrospective Studies Neoplasm Staging Male Neoplasm Recurrence, Local Middle Aged Radiotherapy Dosage Treatment Outcome Scalp Head and Neck Neoplasms Age Factors
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Hypofractionated Robotic Stereotactic Radiosurgery for Vagal Paragangliomas: A Novel Treatment Strategy for Cranial Nerve Preservation.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Mar 3, 2020
OBJECTIVE: To provide the first description of hypofractionated stereotactic radiosurgery (SRS) and evaluate tumor control and safety for vagal paragangliomas (VPs), which begin at the skull base but often have significant extracranial extension.
Neoplasm Staging Adolescent Humans Female Radiosurgery Retrospective Studies Treatment Outcome Young Adult Tomography, X-Ray Computed Follow-Up Studies Vagus Nerve Adult Magnetic Resonance Imaging Cranial Nerve Neoplasms Male Robotics Paraganglioma Middle Aged
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Machine Learning Analysis of Image Data Based on Detailed MR Image Reports for Nasopharyngeal Carcinoma Prognosis.

BioMed research international Feb 21, 2020
We aimed to assess the use of automatic machine learning (AutoML) algorithm based on magnetic resonance (MR) image data to assign prediction scores to patients with nasopharyngeal carcinoma (NPC). We also aimed to develop a 4-group classification sys...
Neoplasm Staging Female Humans Image Interpretation, Computer-Assisted Nasopharyngeal Carcinoma Adult Machine Learning Nasopharyngeal Neoplasms Male Prognosis Nasopharynx Middle Aged Retrospective Studies Magnetic Resonance Imaging
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Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer.

European radiology Feb 13, 2020
INTRODUCTION: The aim of the study was to extract anthropometric measures from CT by deep learning and to evaluate their prognostic value in patients with non-small-cell lung cancer (NSCLC).
Humans Body Composition Progression-Free Survival Prognosis Proportional Hazards Models Subcutaneous Fat Lung Neoplasms Survival Rate Female Whole Body Imaging Male Carcinoma, Non-Small-Cell Lung Body Surface Area Reproducibility of Results Middle Aged Muscle, Skeletal Intra-Abdominal Fat Aged Disease Progression Positron Emission Tomography Computed Tomography Deep Learning Neoplasm Staging Adult
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Machine Learning Algorithms for Predicting the Recurrence of Stage IV Colorectal Cancer After Tumor Resection.

Scientific reports Feb 13, 2020
The aim of this study is to explore the feasibility of using machine learning (ML) technology to predict postoperative recurrence risk among stage IV colorectal cancer patients. Four basic ML algorithms were used for prediction-logistic regression, d...
Neoplasm Recurrence, Local Colorectal Neoplasms Male Middle Aged Prognosis Logistic Models Humans Female Neoplasm Staging Machine Learning Aged Algorithms Aged, 80 and over
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A quantitative model based on clinically relevant MRI features differentiates lower grade gliomas and glioblastoma.

European radiology Feb 5, 2020
OBJECTIVES: To establish a quantitative MR model that uses clinically relevant features of tumor location and tumor volume to differentiate lower grade glioma (LRGG, grades II and III) and glioblastoma (GBM, grade IV).
Neoplasm Staging Machine Learning Tumor Burden Female Adult Brain Neoplasms Male Glioma Support Vector Machine Magnetic Resonance Imaging Diagnosis, Differential Glioblastoma Humans
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The Emerging Role of Radiomics in COPD and Lung Cancer.

Respiration; international review of thoracic diseases Jan 28, 2020
Medical imaging plays a key role in evaluating and monitoring lung diseases such as chronic obstructive pulmonary disease (COPD) and lung cancer. The application of artificial intelligence in medical imaging has transformed medical images into mineab...
Workflow Data Mining Decision Support Systems, Clinical Image Processing, Computer-Assisted Humans Lung Neoplasms Artificial Intelligence Treatment Outcome Machine Learning Neoplasm Staging Prognosis Pulmonary Disease, Chronic Obstructive
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Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer.

European radiology Jan 17, 2020
OBJECTIVES: To build a dual-energy CT (DECT)-based deep learning radiomics nomogram for lymph node metastasis (LNM) prediction in gastric cancer.
Nomograms Adenocarcinoma Lymphatic Metastasis Humans Neoplasm Staging Stomach Neoplasms Tomography, X-Ray Computed Prognosis Male Female Retrospective Studies Middle Aged Aged Deep Learning Aged, 80 and over Lymph Nodes Adult
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Artificial Intelligence in Cancer Staging: Limitless Potential or Passing Fad?

Annals of surgical oncology Jan 3, 2020
Treatment Outcome Neoplasm Staging Bile Duct Neoplasms Cholangiocarcinoma Humans Machine Learning Prognosis Clinical Decision-Making Surgeons
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