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Neoplasm Grading

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Machine Learning Methods Based on CT Features Differentiate G1/G2 From G3 Pancreatic Neuroendocrine Tumors.

Academic radiology Dec 4, 2023
RATIONALE AND OBJECTIVES: To identify CT features for distinguishing grade 1 (G1)/grade 2 (G2) from grade 3 (G3) pancreatic neuroendocrine tumors (PNETs) using different machine learning (ML) methods.
Aged Adult Sensitivity and Specificity Male Retrospective Studies Tomography, X-Ray Computed Female Pancreatic Neoplasms Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Neuroendocrine Tumors Humans Machine Learning Middle Aged Algorithms Support Vector Machine Diagnosis, Differential
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Glioma Tumor Grading Using Radiomics on Conventional MRI: A Comparative Study of WHO 2021 and WHO 2016 Classification of Central Nervous Tumors.

Journal of magnetic resonance imaging : JMRI Nov 29, 2023
BACKGROUND: Glioma grading transformed in World Health Organization (WHO) 2021 CNS tumor classification, integrating molecular markers. However, the impact of this change on radiomics-based machine learning (ML) classifiers remains unexplored.
Adult Radiomics Brain Neoplasms Male Female Reproducibility of Results Aged Glioma Magnetic Resonance Imaging Neoplasm Grading World Health Organization Middle Aged ROC Curve Image Processing, Computer-Assisted Humans Machine Learning Retrospective Studies Central Nervous System Neoplasms
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A contemporary analysis of disease upstaging of Gleason 3 + 3 prostate cancer patients after robot-assisted laparoscopic prostatectomy.

Cancer medicine Nov 6, 2023
BACKGROUND: Risk of biochemical recurrence (BCR) in localised prostate cancer can be stratified using the 5-tier Cambridge Prognostic Group (CPG) or 3-tier European Association of Urology (EAU) model. Active surveillance is the current recommendation...
Prostate-Specific Antigen Neoplasm Grading Laparoscopy Prostatectomy Male Humans Robotics Retrospective Studies Prostatic Neoplasms Neoplasm Staging
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Predicting meningioma grades and pathologic marker expression via deep learning.

European radiology Oct 19, 2023
OBJECTIVES: To establish a deep learning (DL) model for predicting tumor grades and expression of pathologic markers of meningioma.
Neoplasm Grading Ki-67 Antigen Meningioma Meningeal Neoplasms Middle Aged Deep Learning Magnetic Resonance Imaging Predictive Value of Tests Adult Biomarkers, Tumor Male Humans Retrospective Studies Female Aged
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ProGleason-GAN: Conditional progressive growing GAN for prostatic cancer Gleason grade patch synthesis.

Computer methods and programs in biomedicine Jun 25, 2023
BACKGROUND AND OBJECTIVE: Prostate cancer is one of the most common diseases affecting men. The main diagnostic and prognostic reference tool is the Gleason scoring system. An expert pathologist assigns a Gleason grade to a sample of prostate tissue....
Prostatic Neoplasms Humans Artificial Intelligence Neoplasm Grading Prognosis Prostatectomy Male
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Impact of positive surgical margins (PSMs) after robotic prostatectomy on biochemical recurrence (BCR): Multicenter analysis.

Urologia Jun 24, 2023
OBJECTIVE: To study and analyze any correlations between positive surgical margins after RARP and biochemical recurrence.
Neoplasm Grading Robotic Surgical Procedures Neoplasm Recurrence, Local Prostatectomy Margins of Excision Humans Male Robotics Prostate-Specific Antigen
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Nomogram Predicting Locally Advanced Prostate Cancer in Patients with Clinically Organ-Confined Disease Who Underwent Robot-Assisted Radical Prostatectomy: A Retrospective Multicenter Cohort Study in Japan (The MSUG94 Group).

Annals of surgical oncology Jun 20, 2023
PURPOSE: We created a clinically applicable nomogram to predict locally advanced prostate cancer using preoperative parameters and performed external validation using an external independent validation cohort.
Humans Retrospective Studies Prostate Japan Prostatectomy Male Cohort Studies Nomograms Robotics Prostatic Neoplasms Prostate-Specific Antigen Neoplasm Grading
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Non-invasive grading of brain tumors using online support vector machine with dynamic fuzzy rule-based parameters optimization.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine May 26, 2023
Non-invasive grading of brain tumors provides a valuable understanding of tumor growth that helps choose the proper treatment. In this paper, an online method with an innovative optimization approach as well as a new and fast tumor segmentation metho...
Algorithms Brain Neoplasms Image Processing, Computer-Assisted Support Vector Machine Humans Magnetic Resonance Imaging Fuzzy Logic Neoplasm Grading
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Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning.

European radiology Apr 13, 2023
OBJECTIVES: To establish a robust interpretable multiparametric deep learning (DL) model for automatic noninvasive grading of meningiomas along with segmentation.
Meningioma Meningeal Neoplasms Humans Deep Learning Retrospective Studies Magnetic Resonance Imaging Neoplasm Grading Neuroimaging
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A comparative study of the inter-observer variability on Gleason grading against Deep Learning-based approaches for prostate cancer.

Computers in biology and medicine Apr 6, 2023
BACKGROUND: Among all the cancers known today, prostate cancer is one of the most commonly diagnosed in men. With modern advances in medicine, its mortality has been considerably reduced. However, it is still a leading type of cancer in terms of deat...
Observer Variation Humans Male Artificial Intelligence Deep Learning Reproducibility of Results Prostatic Neoplasms Neoplasm Grading
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