AIMC Topic: Neoplasm Staging

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Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer.

BMC cancer May 30, 2018
BACKGROUND: Gene-expression companion diagnostic tests, such as the Oncotype DX test, assess the risk of early stage Estrogen receptor (ER) positive (+) breast cancers, and guide clinicians in the decision of whether or not to use chemotherapy. Howev...
Cell Nucleus Receptors, Estrogen Neoplasm Staging Genetic Testing Breast Models, Biological Supervised Machine Learning Aged Young Adult Adult Breast Neoplasms Middle Aged ROC Curve Image Processing, Computer-Assisted Staining and Labeling Predictive Value of Tests Principal Component Analysis Humans Prognosis Female Risk Factors
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High-Grade Serous Ovarian Cancer: Use of Machine Learning to Predict Abdominopelvic Recurrence on CT on the Basis of Serial Cancer Antigen 125 Levels.

Journal of the American College of Radiology : JACR May 19, 2018
PURPOSE: The aim of this study was to use machine learning to predict abdominal recurrence on CT on the basis of serial cancer antigen 125 (CA125) levels in patients with advanced high-grade serous ovarian cancer on surveillance.
Humans Machine Learning Retrospective Studies Ovarian Neoplasms Predictive Value of Tests Neoplasm Staging Neoplasm Recurrence, Local CA-125 Antigen Cystadenocarcinoma, Serous Tomography, X-Ray Computed Female Risk Factors Biomarkers, Tumor Middle Aged
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Artificial intelligence weights the importance of factors predicting complete cytoreduction at secondary cytoreductive surgery for recurrent ovarian cancer.

Journal of gynecologic oncology Apr 23, 2018
OBJECTIVE: Accumulating evidence support that complete cytoreduction (CC) at the time of secondary cytoreductive surgery (SCS) improves survival in patients affected by recurrent ovarian cancer (ROC). Here, we aimed to determine whether artificial in...
Humans Middle Aged Time Factors Treatment Outcome Ovarian Neoplasms Neoplasm Staging Neural Networks, Computer Prognosis Retrospective Studies Female Aged Neoplasm, Residual Neoplasm Recurrence, Local Disease-Free Survival Cytoreduction Surgical Procedures Reoperation Kaplan-Meier Estimate
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Stage-Specific Survivability Prediction Models across Different Cancer Types.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
For all cancer types, survivability rates vary widely across different stages of cancer. But survivability prediction models built in past were trained using examples of all stages together and were also evaluated on all stages together. In this work...
Models, Theoretical Neoplasm Staging Survival Analysis Datasets as Topic Humans Machine Learning Prognosis Neoplasms ROC Curve
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Treatment-related features improve machine learning prediction of prognosis in soft tissue sarcoma patients.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Mar 20, 2018
BACKGROUND AND PURPOSE: Current prognostic models for soft tissue sarcoma (STS) patients are solely based on staging information. Treatment-related data have not been included to date. Including such information, however, could help to improve these ...
Humans Machine Learning Prognosis Retrospective Studies Neoadjuvant Therapy Neoplasm Staging Sarcoma Proportional Hazards Models Male Middle Aged Risk Assessment Disease Progression Cohort Studies Female Aged Aged, 80 and over Adult Survival Rate
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A Deep Belief Network and Dempster-Shafer-Based Multiclassifier for the Pathology Stage of Prostate Cancer.

Journal of healthcare engineering Mar 19, 2018
OBJECT: Pathologic prediction of prostate cancer can be made by predicting the patient's prostate metastasis prior to surgery based on biopsy information. Because biopsy variables associated with pathology have uncertainty regarding individual patien...
Male Diagnosis, Computer-Assisted Deep Learning Prostatic Neoplasms Neoplasm Staging Prostate-Specific Antigen Neoplasm Grading Prostate Biopsy Humans
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Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning-An Artificial Intelligence Concept.

Journal of vascular and interventional radiology : JVIR Mar 14, 2018
PURPOSE: To use magnetic resonance (MR) imaging and clinical patient data to create an artificial intelligence (AI) framework for the prediction of therapeutic outcomes of transarterial chemoembolization by applying machine learning (ML) techniques.
Doxorubicin Chemoembolization, Therapeutic Ethiodized Oil Treatment Outcome Contrast Media Magnetic Resonance Imaging Predictive Value of Tests Neoplasm Staging Male Middle Aged Antineoplastic Agents Liver Neoplasms Carcinoma, Hepatocellular Humans Aged Adult Sensitivity and Specificity Machine Learning Retrospective Studies Female
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Prediction of Overall Survival and Novel Classification of Patients with Gastric Cancer Using the Survival Recurrent Network.

Annals of surgical oncology Mar 1, 2018
BACKGROUND: Artificial neural networks (ANNs) have been applied to many prediction and classification problems, and could also be used to develop a prediction model of survival outcomes for cancer patients.
Models, Biological Gastrectomy Kaplan-Meier Estimate Chemotherapy, Adjuvant Male Middle Aged ROC Curve Area Under Curve Neoplasm Staging Humans Neural Networks, Computer Forecasting Female Aged Stomach Neoplasms Survival Rate
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Impact of the off-clamp endoscopic robot-assisted simple enucleation (ERASE) of clinical T1 renal tumors on the postoperative renal function: Results from a matched-pair comparison.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Feb 13, 2018
PURPOSE: To evaluate the surgical and functional outcomes of a matched-paired series of on-clamp vs off-clamp endoscopic robot-assisted simple enucleation (ERASE) and standardized renorraphy in a tertiary referral institution, to search for predictor...
Glomerular Filtration Rate Robotics Neoplasm Staging Laparoscopy Kidney Neoplasms Retrospective Studies Female Male Middle Aged Treatment Outcome Nephrectomy Surgical Instruments Postoperative Period Matched-Pair Analysis Propensity Score Carcinoma, Renal Cell Suture Techniques Humans
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Robotic versus laparoscopic radical hysterectomy in early cervical cancer: A case matched control study.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Feb 13, 2018
BACKGROUND: This study aims at evaluating the feasibility, surgical outcome and oncological results observed after robotic radical hysterectomy (RH) compared to laparoscopy for patients with early stage cervical cancer (ECC) patients.
Early Detection of Cancer Robotics Neoplasm Staging Laparoscopy Italy Hysterectomy Uterine Cervical Neoplasms Middle Aged Postoperative Complications Incidence Time Factors Aged Aged, 80 and over Young Adult Adult Survival Rate Humans Retrospective Studies Female
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