AIMC Topic: Nomograms

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An Artificial Intelligence Model for Predicting 1-Year Survival of Bone Metastases in Non-Small-Cell Lung Cancer Patients Based on XGBoost Algorithm.

BioMed research international Jun 27, 2020
Non-small-cell lung cancer (NSCLC) patients often develop bone metastases (BM), and the overall survival for these patients is usually perishing. However, a model with high accuracy for predicting the survival of NSCLC with BM is still lacking. Here,...
Logistic Models Nomograms Carcinoma, Non-Small-Cell Lung Bone Neoplasms Models, Biological Survival Analysis Multivariate Analysis Reproducibility of Results Aged Male ROC Curve Lung Neoplasms Humans Artificial Intelligence Algorithms Prognosis Female
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A novel model for predicting the outcome of intracerebral hemorrhage: Based on 1186 Patients.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 8, 2020
OBJECTIVE: To establish a model for predicting the outcome according to the clinical and computed tomography(CT) image data of patients with intracerebral hemorrhage(ICH).
Decision Support Techniques Prognosis Retrospective Studies Tomography, X-Ray Computed Female Humans Time Factors Risk Factors Nomograms Male Support Vector Machine Middle Aged Cerebral Hemorrhage Risk Assessment Predictive Value of Tests China
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Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study.

Annals of oncology : official journal of the European Society for Medical Oncology Apr 15, 2020
BACKGROUND: Preoperative evaluation of the number of lymph node metastasis (LNM) is the basis of individual treatment of locally advanced gastric cancer (LAGC). However, the routinely used preoperative determination method is not accurate enough.
China Nomograms Lymphatic Metastasis Humans Italy Stomach Neoplasms Deep Learning
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Can a machine-learning model improve the prediction of nodal stage after a positive sentinel lymph node biopsy in breast cancer?

Acta oncologica (Stockholm, Sweden) Mar 9, 2020
The current standard for evaluating axillary nodal burden in clinically node negative breast cancer is sentinel lymph node biopsy (SLNB). However, the accuracy of SLNB to detect nodal stage N2-3 remains debatable. Nomograms can help the decision-mak...
Lymph Nodes Nomograms Lymphatic Metastasis Neoplasm Invasiveness Lymph Node Excision Adult Breast Neoplasms Middle Aged ROC Curve Logistic Models Sentinel Lymph Node Biopsy, Fine-Needle Sentinel Lymph Node Biopsy Axilla Regression Analysis Breast Tumor Burden Carcinoma, Ductal, Breast Humans Machine Learning Retrospective Studies Female Aged Aged, 80 and over
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Computationally Derived Image Signature of Stromal Morphology Is Prognostic of Prostate Cancer Recurrence Following Prostatectomy in African American Patients.

Clinical cancer research : an official journal of the American Association for Cancer Research Mar 5, 2020
PURPOSE: Between 30%-40% of patients with prostate cancer experience disease recurrence following radical prostatectomy. Existing clinical models for recurrence risk prediction do not account for population-based variation in the tumor phenotype, des...
Humans Machine Learning Predictive Value of Tests Prostatic Neoplasms Prostate-Specific Antigen Neoplasm Recurrence, Local Risk Assessment Stromal Cells Prognosis Disease Progression Black or African American Survival Rate Prostatectomy ROC Curve Biomarkers, Tumor Image Processing, Computer-Assisted Male Nomograms Middle Aged
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Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram.

European radiology Feb 17, 2020
PURPOSE: To develop and identify a MRI-based radiomics nomogram for the preoperative prediction of parametrial invasion (PMI) in patients with early-stage cervical cancer (ECC).
Peritoneum Hysterectomy Informatics Diffusion Magnetic Resonance Imaging Support Vector Machine Age Factors Magnetic Resonance Imaging Neoplasm Invasiveness Neoplasm Grading Adult Uterine Cervical Neoplasms Middle Aged Nomograms Humans Algorithms Retrospective Studies Female Reproducibility of Results Aged
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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.
Humans Prognosis Retrospective Studies Nomograms Stomach Neoplasms Adenocarcinoma Male Lymphatic Metastasis Middle Aged Neoplasm Staging Tomography, X-Ray Computed Deep Learning Female Lymph Nodes Aged Aged, 80 and over Adult
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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).
Neoplasm Staging Uterine Neoplasms Proportional Hazards Models Female Humans Cystadenocarcinoma, Serous Reproducibility of Results Cystadenocarcinoma, Papillary Machine Learning Aged Algorithms Nomograms Prognosis Predictive Value of Tests
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Development and external validation of a nomogram to predict lymph node invasion after robot assisted radical prostatectomy.

Urologic oncology Nov 12, 2019
BACKGROUND: Prediction of lymph node invasion (LNI) after radical prostatectomy has been rarely assessed in robotically assisted laparoscopic radical prostatectomy (RALP) series. We aimed to develop and externally validate a pretreatment nomogram for...
Lymph Nodes Nomograms Robotics Prostatic Neoplasms Humans Prostatectomy Reproducibility of Results Aged Male Middle Aged
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Applying Machine Learning Techniques in Nomogram Prediction and Analysis for SMILE Treatment.

American journal of ophthalmology Oct 21, 2019
PURPOSE: To analyze the outcome of machine learning technique for prediction of small incision lenticule extraction (SMILE) nomogram.
Myopia Young Adult Humans Corneal Surgery, Laser Adult Nomograms Machine Learning Male Lasers, Excimer Prospective Studies Middle Aged Astigmatism Female Refraction, Ocular Corneal Stroma
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