AIMC Topic: Neoplasm Staging

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Development and Validation of a Deep Learning Model for Non-Small Cell Lung Cancer Survival.

JAMA network open Jun 1, 2020
IMPORTANCE: There is a lack of studies exploring the performance of a deep learning survival neural network in non-small cell lung cancer (NSCLC).
China Cohort Studies Lung Neoplasms United States Carcinoma, Non-Small-Cell Lung Adult Survival Rate Male Middle Aged Deep Learning Humans Prognosis Female Aged Aged, 80 and over Young Adult Models, Statistical Neoplasm Staging SEER Program Kaplan-Meier Estimate
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Prognosis and Treatment of Non-Small Cell Lung Cancer in the Age of Deep Learning.

JAMA network open Jun 1, 2020
Prognosis Deep Learning Lung Neoplasms Carcinoma, Non-Small-Cell Lung Neoplasm Staging Humans
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Short-term outcomes of robot-assisted versus conventional laparoscopic surgery for early-stage endometrial cancer: A retrospective, single-center study.

The journal of obstetrics and gynaecology research May 14, 2020
AIM: We compared the short-term outcomes between conventional laparoscopic surgery (CLS) and robot-assisted surgery (RAS) to assess the technical feasibility of the latter for early-stage endometrial cancer.
Neoplasm Staging Laparoscopy Robotic Surgical Procedures Hysterectomy Endometrial Neoplasms Humans Retrospective Studies Female Lymph Node Excision Robotics
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CT-based radiomic features to predict pathological response in rectal cancer: A retrospective cohort study.

Journal of medical imaging and radiation oncology May 9, 2020
INTRODUCTION: Innovative biomarkers to predict treatment response in rectal cancer would be helpful in optimizing personalized treatment approaches. In this study, we aimed to develop and validate a CT-based radiomic imaging biomarker to predict path...
Rectal Neoplasms Chemoradiotherapy Florida Aged Aged, 80 and over Adult Biomarkers, Tumor Male Middle Aged Neoadjuvant Therapy Predictive Value of Tests Neoplasm Staging Neoplasm Grading Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female
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Radiomics and deep learning in lung cancer.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] May 4, 2020
Lung malignancies have been extensively characterized through radiomics and deep learning. By providing a three-dimensional characterization of the lesion, models based on radiomic features from computed tomography (CT) and positron-emission tomograp...
Forecasting Phenotype Databases, Factual Prognosis Tomography, X-Ray Computed Humans Radiosurgery Radiotherapy Radiation Injuries Imaging Genomics Treatment Outcome Deep Learning Neoplasm Staging Image Processing, Computer-Assisted Neoplasm Recurrence, Local Lung Neoplasms Radiotherapy Planning, Computer-Assisted Genotype False Positive Reactions Computational Biology
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High spatiotemporal resolution dynamic contrast-enhanced MRI improves the image-based discrimination of histopathology risk groups of peripheral zone prostate cancer: a supervised machine learning approach.

European radiology Apr 23, 2020
OBJECTIVE: To assess if adding perfusion information from dynamic contrast-enhanced (DCE MRI) acquisition schemes with high spatiotemporal resolution to T2w/DWI sequences as input features for a gradient boosting machine (GBM) machine learning (ML) c...
Aged Male ROC Curve Contrast Media Prostatic Neoplasms Humans Retrospective Studies Neoplasm Staging Supervised Machine Learning Image-Guided Biopsy Diffusion Magnetic Resonance Imaging
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Hierarchical Analysis of Factors Associated with T Staging of Gastric Cancer by Endoscopic Ultrasound.

Digestive diseases and sciences Mar 17, 2020
BACKGROUND: Size, ulcer, differentiation, and location are known to be factors affecting the T stage accuracy of EUS in gastric cancer. However, whether an interaction exists among recognized variables is poorly understood. The aim of this study was ...
Decision Trees Neoplasm Staging Endosonography Stomach Neoplasms Humans Male Retrospective Studies Middle Aged Female Deep Learning Aged Early Detection of Cancer
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Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning.

Scientific reports Mar 13, 2020
Non-small cell lung cancer (NSCLC) is one of the most common lung cancers worldwide. Accurate prognostic stratification of NSCLC can become an important clinical reference when designing therapeutic strategies for cancer patients. With this clinical ...
Neoplasm Metastasis Humans Microarray Analysis Biomarkers, Tumor Reproducibility of Results Carcinoma, Non-Small-Cell Lung Kaplan-Meier Estimate Deep Learning Area Under Curve Lung Neoplasms Neoplasm Staging Computational Biology Neoplasm Grading Support Vector Machine Workflow
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Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer.

Nature communications Mar 6, 2020
Accurate identification of axillary lymph node (ALN) involvement in patients with early-stage breast cancer is important for determining appropriate axillary treatment options and therefore avoiding unnecessary axillary surgery and complications. Her...
Humans Prospective Studies Prognosis Female Aged Aged, 80 and over Adult Breast Breast Neoplasms Mastectomy Reference Standards Preoperative Period Elasticity Imaging Techniques Middle Aged Lymph Nodes Deep Learning Lymphatic Metastasis Ultrasonography Lymph Node Excision ROC Curve Axilla Image Processing, Computer-Assisted Neoplasm Staging
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External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules.

Thorax Mar 5, 2020
BACKGROUND: Estimation of the risk of malignancy in pulmonary nodules detected by CT is central in clinical management. The use of artificial intelligence (AI) offers an opportunity to improve risk prediction. Here we compare the performance of an AI...
Neoplasm Staging Humans Cell Transformation, Neoplastic Neural Networks, Computer Female Artificial Intelligence Aged Multiple Pulmonary Nodules Algorithms Adult Risk Assessment Early Detection of Cancer Databases, Factual Male Incidence Neoplasm Invasiveness Prognosis Cohort Studies Middle Aged Predictive Value of Tests Retrospective Studies ROC Curve Area Under Curve Lung Neoplasms
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