AIMC Topic: Neoplasm Staging

Clear Filters Showing 321 to 330 of 569 articles

Radiomics allows for detection of benign and malignant histopathology in patients with metastatic testicular germ cell tumors prior to post-chemotherapy retroperitoneal lymph node dissection.

European radiology Dec 11, 2019
OBJECTIVES: To evaluate whether a computed tomography (CT) radiomics-based machine learning classifier can predict histopathology of lymph nodes (LNs) after post-chemotherapy LN dissection (pcRPLND) in patients with metastatic non-seminomatous testic...
Lymph Node Excision Neoplasm Staging Retroperitoneal Space Neoplasms, Germ Cell and Embryonal Computational Biology Lymph Nodes Lymphatic Metastasis Testicular Neoplasms Orchiectomy Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Reproducibility of Results Young Adult Adult Male Middle Aged
View on PubMed DOI

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...
Humans Tomography, X-Ray Computed Reproducibility of Results Deep Learning ROC Curve Lymph Nodes Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Lymphatic Metastasis Neoplasm Staging Extranodal Extension
View on PubMed DOI

Clinical calculator predictive of chemotherapy benefit in stage 1A uterine papillary serous cancers.

Gynecologic oncology Nov 30, 2019
OBJECTIVE: Determine the utility of a clinical calculator to predict the benefit of chemotherapy in stage IA uterine papillary serous cancer (UPSC).
Proportional Hazards Models Cystadenocarcinoma, Serous Cystadenocarcinoma, Papillary Machine Learning Aged Algorithms Humans Nomograms Prognosis Predictive Value of Tests Female Neoplasm Staging Reproducibility of Results Uterine Neoplasms
View on PubMed DOI

Artificial intelligence-guided tissue analysis combined with immune infiltrate assessment predicts stage III colon cancer outcomes in PETACC08 study.

Gut Nov 28, 2019
OBJECTIVE: Diagnostic tests, such as Immunoscore, predict prognosis in patients with colon cancer. However, additional prognostic markers could be detected on pathological slides using artificial intelligence tools.
Prognosis Antineoplastic Combined Chemotherapy Protocols Adenocarcinoma Lymphocytes, Tumor-Infiltrating Neoplasm Invasiveness Neoplasm Staging Colonic Neoplasms Disease-Free Survival Image Interpretation, Computer-Assisted Humans Artificial Intelligence
View on PubMed DOI

ConvPath: A software tool for lung adenocarcinoma digital pathological image analysis aided by a convolutional neural network.

EBioMedicine Nov 22, 2019
BACKGROUND: The spatial distributions of different types of cells could reveal a cancer cell's growth pattern, its relationships with the tumor microenvironment and the immune response of the body, all of which represent key "hallmarks of cancer". Ho...
Humans Neoplasm Staging Workflow Histocytochemistry Tumor Microenvironment Neural Networks, Computer Male Web Browser Software Deep Learning Adenocarcinoma of Lung Algorithms Image Processing, Computer-Assisted Female Lung Neoplasms Reproducibility of Results
View on PubMed DOI

Deep segmentation networks predict survival of non-small cell lung cancer.

Scientific reports Nov 21, 2019
Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is the leading cause of cancer-related death worldwide. Recent studies indicate that image-based radiomics features from positron emission tomography/comp...
Predictive Value of Tests Positron Emission Tomography Computed Tomography Deep Learning Humans Neoplasm Staging Image Processing, Computer-Assisted Aged, 80 and over Radiosurgery Prognosis Radiopharmaceuticals Survival Rate Lung Neoplasms Retrospective Studies Datasets as Topic Male Treatment Outcome Female Middle Aged Carcinoma, Non-Small-Cell Lung Aged Lung
View on PubMed DOI

CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms.

International journal of computer assisted radiology and surgery Nov 13, 2019
PURPOSE: As some of the most important factors for treatment decision of lung cancer (which is the deadliest neoplasm) are staging and histology, this work aimed to associate quantitative contrast-enhanced computed tomography (CT) features from malig...
Middle Aged Lung ROC Curve Lung Neoplasms Predictive Value of Tests Female Aged Aged, 80 and over Adult Male Neoplasm Staging Biopsy Neoplasm Metastasis Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed
View on PubMed DOI

Utilizing Machine Learning for Pre- and Postoperative Assessment of Patients Undergoing Resection for BCLC-0, A and B Hepatocellular Carcinoma: Implications for Resection Beyond the BCLC Guidelines.

Annals of surgical oncology Nov 6, 2019
BACKGROUND: There is an ongoing debate about expanding the resection criteria for hepatocellular carcinoma (HCC) beyond the Barcelona Clinic Liver Cancer (BCLC) guidelines. We sought to determine the factors that held the most prognostic weight in th...
Retrospective Studies Female Aged Survival Rate Biomarkers, Tumor Humans Machine Learning Preoperative Care Follow-Up Studies Neoplasm Staging Tumor Burden Practice Guidelines as Topic Hepatectomy Male Middle Aged Postoperative Complications Liver Neoplasms Carcinoma, Hepatocellular
View on PubMed DOI

Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Oct 22, 2019
INTRODUCTION: Adequate head and neck (HN) organ-at-risk (OAR) delineation is crucial for HN radiotherapy and for investigating the relationships between radiation dose to OARs and radiation-induced side effects. The automatic contouring algorithms th...
Middle Aged Deep Learning Adolescent Head and Neck Neoplasms Neck Female Neoplasm Staging Humans Aged Organs at Risk Neural Networks, Computer Young Adult Radiotherapy Planning, Computer-Assisted Algorithms Adult Observer Variation Male
View on PubMed DOI

Effect of Radiation Doses to the Heart on Survival for Stereotactic Ablative Radiotherapy for Early-stage Non-Small-cell Lung Cancer: An Artificial Neural Network Approach.

Clinical lung cancer Oct 21, 2019
INTRODUCTION: The cardiac radiation dose is an important predictor of cardiac toxicity and overall survival (OS) for patients with locally advanced non-small-cell lung cancer (NSCLC). However, radiation-induced cardiac toxicity among patients with ea...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Follow-Up Studies Aged Neoplasm Staging Humans Radiosurgery Aged, 80 and over Radiotherapy Dosage Cardiotoxicity Neural Networks, Computer Survival Rate Male Middle Aged Retrospective Studies Female Carcinoma, Squamous Cell
View on PubMed DOI
Popular Topics
Recent Journals