AIMC Topic: Neoplasm Staging

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Prediction of IDH and TERT promoter mutations in low-grade glioma from magnetic resonance images using a convolutional neural network.

Scientific reports Dec 30, 2019
Identification of genotypes is crucial for treatment of glioma. Here, we developed a method to predict tumor genotypes using a pretrained convolutional neural network (CNN) from magnetic resonance (MR) images and compared the accuracy to that of a di...
Neoplasm Grading Mutation Promoter Regions, Genetic Isocitrate Dehydrogenase Telomerase Male Image Processing, Computer-Assisted Glioma Magnetic Resonance Imaging Neoplasm Staging Humans Neural Networks, Computer Female Reproducibility of Results Biomarkers, Tumor
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Deep learning pathological microscopic features in endemic nasopharyngeal cancer: Prognostic value and protentional role for individual induction chemotherapy.

Cancer medicine Dec 20, 2019
BACKGROUND: To explore the prognostic value and the role for treatment decision of pathological microscopic features in patients with nasopharyngeal carcinoma (NPC) using the method of deep learning.
Male Middle Aged Risk Assessment Deep Learning China Image Processing, Computer-Assisted Humans Prognosis Retrospective Studies Female Adult Nasopharynx Induction Chemotherapy Radiotherapy, Intensity-Modulated Kaplan-Meier Estimate Antineoplastic Combined Chemotherapy Protocols Chemoradiotherapy Nasopharyngeal Neoplasms Neoplasm Staging Endemic Diseases Cisplatin Fluorouracil Progression-Free Survival
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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...
Orchiectomy Lymph Node Excision Neoplasm Staging Retroperitoneal Space Neoplasms, Germ Cell and Embryonal Middle Aged Computational Biology Lymph Nodes Lymphatic Metastasis Testicular Neoplasms Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Reproducibility of Results Young Adult Adult Male
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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 Humans Tomography, X-Ray Computed Reproducibility of Results Deep Learning ROC Curve
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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).
Reproducibility of Results Humans Uterine Neoplasms Aged Machine Learning Proportional Hazards Models Nomograms Algorithms Cystadenocarcinoma, Serous Predictive Value of Tests Prognosis Cystadenocarcinoma, Papillary Neoplasm Staging Female
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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.
Neoplasm Invasiveness Neoplasm Staging Colonic Neoplasms Humans Artificial Intelligence Disease-Free Survival Image Interpretation, Computer-Assisted Prognosis Antineoplastic Combined Chemotherapy Protocols Adenocarcinoma Lymphocytes, Tumor-Infiltrating
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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 Neural Networks, Computer Software Lung Neoplasms Algorithms Reproducibility of Results Histocytochemistry Neoplasm Staging Female Tumor Microenvironment Web Browser Workflow Male Adenocarcinoma of Lung Deep Learning Image Processing, Computer-Assisted
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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...
Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Treatment Outcome Carcinoma, Non-Small-Cell Lung Predictive Value of Tests Positron Emission Tomography Computed Tomography Neoplasm Staging Radiopharmaceuticals Datasets as Topic Aged, 80 and over Survival Rate Male Middle Aged Lung Humans Prognosis Retrospective Studies Female Aged Radiosurgery
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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 Female Lung Aged Humans Neoplasm Staging Aged, 80 and over ROC Curve Machine Learning Biopsy Adult Lung Neoplasms Retrospective Studies Neoplasm Metastasis Male Predictive Value of Tests Tomography, X-Ray Computed
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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...
Neoplasm Staging Tumor Burden Practice Guidelines as Topic Hepatectomy Preoperative Care Middle Aged Postoperative Complications Liver Neoplasms Humans Carcinoma, Hepatocellular Follow-Up Studies Machine Learning Female Retrospective Studies Aged Survival Rate Biomarkers, Tumor Male
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