AIMC Topic: Neoplasm Grading

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Positive surgical margin in robot-assisted radical prostatectomy: correlation with pathology findings and risk of biochemical recurrence.

Minerva urologica e nefrologica = The Italian journal of urology and nephrology Mar 30, 2017
BACKGROUND: To analyze the correlation of surgical margin status with other findings on final pathology and risk of biochemical recurrence (BCR) in patients undergoing robot-assisted radical prostatectomy (RALP).
Humans Retrospective Studies Aged Prostatectomy Neoplasm Grading Margins of Excision Male Biopsy Middle Aged Robotics Neoplasm Recurrence, Local Prostatic Neoplasms Survival Analysis Kaplan-Meier Estimate
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Joint multiple fully connected convolutional neural network with extreme learning machine for hepatocellular carcinoma nuclei grading.

Computers in biology and medicine Mar 22, 2017
Accurate cell grading of cancerous tissue pathological image is of great importance in medical diagnosis and treatment. This paper proposes a joint multiple fully connected convolutional neural network with extreme learning machine (MFC-CNN-ELM) arch...
Liver Neoplasm Grading Histocytochemistry Biopsy, Needle Humans Neural Networks, Computer Machine Learning Algorithms Diagnosis, Computer-Assisted Liver Neoplasms Carcinoma, Hepatocellular
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Extended versus standard pelvic lymphadenectomy during robot-assisted radical prostatectomy: the role of extended template as an independent predictor of lymph node invasion with comparable morbidity burden.

Minerva urologica e nefrologica = The Italian journal of urology and nephrology Mar 10, 2017
BACKGROUND: To assess oncologic and surgical outcomes in patients subjected to standard (S) versus extended (E) pelvic lymph node dissection (PLND) during robot-assisted radical prostatectomy (RARP).
Humans Prognosis Aged Male Middle Aged Robotics Prostatic Neoplasms Neoplasm Grading Pelvis Prostatectomy Postoperative Complications Cohort Studies Treatment Outcome Lymphatic Metastasis Lymph Node Excision
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A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Feb 13, 2017
The treatment and management of early stage estrogen receptor positive (ER+) breast cancer is hindered by the difficulty in identifying patients who require adjuvant chemotherapy in contrast to those that will respond to hormonal therapy. To distingu...
Support Vector Machine Gene Expression Neoplasm Grading Image Interpretation, Computer-Assisted Receptor, ErbB-2 Humans Female Breast Neoplasms Biomarkers, Tumor Eosine Yellowish-(YS) Hematoxylin Histocytochemistry Risk Mitosis Mitotic Index
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The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning.

Journal of bioinformatics and computational biology Nov 29, 2016
Breast cancer histologic grade represents the morphological assessment of the tumor's malignancy and aggressiveness, which is vital in clinically planning treatment and estimating prognosis for patients. Therefore, the prediction of breast cancer gra...
Humans DNA Methylation Neoplasm Grading Breast Neoplasms Genomics Machine Learning Gene Expression Regulation, Neoplastic Algorithms Signal Transduction Databases, Factual Support Vector Machine Female
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Patterns of Recurrence After Postprostatectomy Fossa Radiation Therapy Identified by C-11 Choline Positron Emission Tomography/Computed Tomography.

International journal of radiation oncology, biology, physics Nov 17, 2016
PURPOSE: To evaluate C-11 choline positron emission tomography/computed tomography (CholPET) in staging and determining patterns of recurrence in prostate cancer patients with rising prostate-specific antigen levels after prostatectomy radiation ther...
Positron Emission Tomography Computed Tomography Prostatic Neoplasms Prostate-Specific Antigen Neoplasm Grading Neoplasm Recurrence, Local Middle Aged Carbon Radioisotopes Humans Lymphatic Metastasis Aged Choline Bone Neoplasms Male Postoperative Care Prostatectomy Statistics, Nonparametric Viscera
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First report of robot-assisted transperineal fusion versus off-target biopsy in patients undergoing repeat prostate biopsy.

World journal of urology Nov 15, 2016
PURPOSE: To clarify the value of targeted versus off-target biopsies in men with a suspicion of prostate cancer (PC) and a visible lesion in multi-parametric magnetic resonance imaging (mpMRI) using transperineal robot-assisted biopsy.
Prostate Image-Guided Biopsy Humans Prostatectomy Reproducibility of Results Aged Robotics Male Prostatic Neoplasms Middle Aged Neoplasm Grading Imaging, Three-Dimensional Ultrasonography, Interventional Magnetic Resonance Imaging
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Effect of Long-Term Hormonal Therapy (vs Short-Term Hormonal Therapy): A Secondary Analysis of Intermediate-Risk Prostate Cancer Patients Treated on NRG Oncology RTOG 9202.

International journal of radiation oncology, biology, physics Nov 8, 2016
PURPOSE: NRG Oncology RTOG 9202 was a randomized trial testing long-term adjuvant androgen deprivation (LTAD) versus initial androgen deprivation only (STAD) with external beam radiation therapy (RT) in mostly high-risk and some intermediate-risk pro...
Androgen Antagonists Combined Modality Therapy Disease-Free Survival Radiotherapy, Conformal Drug Administration Schedule Risk Kaplan-Meier Estimate Antineoplastic Agents, Hormonal Humans Treatment Outcome Adenocarcinoma Retrospective Studies Prostatic Neoplasms Aged Prostate-Specific Antigen Aged, 80 and over Neoplasm Grading Survival Rate Male Middle Aged Time Factors
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Using machine learning to parse breast pathology reports.

Breast cancer research and treatment Nov 8, 2016
PURPOSE: Extracting information from electronic medical record is a time-consuming and expensive process when done manually. Rule-based and machine learning techniques are two approaches to solving this problem. In this study, we trained a machine le...
Databases, Factual Electronic Health Records Female Reproducibility of Results Breast Neoplasms Neoplasm Staging Neoplasm Grading Data Mining Neoplasm Metastasis Humans Machine Learning
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Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Oct 2, 2016
High-grade glioma (HGG) is a lethal cancer, which is characterized by very poor prognosis. To help optimize treatment strategy, accurate preoperative prediction of HGG patient's outcome (i.e., survival time) is of great clinical value. However, there...
Glioma Magnetic Resonance Imaging Neoplasm Grading Retrospective Studies Connectome Reproducibility of Results Diffusion Tensor Imaging Sensitivity and Specificity Humans Brain Neoplasms Life Expectancy Treatment Outcome Machine Learning Algorithms Brain
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