AIMC Topic: Biopsy, Large-Core Needle
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Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning-Assisted Gland Analysis.
Cancer research
Dec 1, 2021
Prostate cancer treatment planning is largely dependent upon examination of core-needle biopsies. The microscopic architecture of the prostate glands forms the basis for prognostic grading by pathologists. Interpretation of these convoluted three-dim...
Artificial intelligence modelling in differentiating core biopsies of fibroadenoma from phyllodes tumor.
Laboratory investigation; a journal of technical methods and pathology
Nov 24, 2021
Breast fibroepithelial lesions (FEL) are biphasic tumors which consist of benign fibroadenomas (FAs) and the rarer phyllodes tumors (PTs). FAs and PTs have overlapping features, but have different clinical management, which makes correct core biopsy ...
Deep learning-based transformation of H&E stained tissues into special stains.
Nature communications
Aug 12, 2021
Pathology is practiced by visual inspection of histochemically stained tissue slides. While the hematoxylin and eosin (H&E) stain is most commonly used, special stains can provide additional contrast to different tissue components. Here, we demonstra...
Independent real-world application of a clinical-grade automated prostate cancer detection system.
The Journal of pathology
Apr 27, 2021
Artificial intelligence (AI)-based systems applied to histopathology whole-slide images have the potential to improve patient care through mitigation of challenges posed by diagnostic variability, histopathology caseload, and shortage of pathologists...
An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Mar 29, 2021
Prostate cancer is a leading cause of morbidity and mortality for adult males in the US. The diagnosis of prostate carcinoma is usually made on prostate core needle biopsies obtained through a transrectal approach. These biopsies may account for a si...
Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies.
JAMA network open
Nov 2, 2020
IMPORTANCE: Expert-level artificial intelligence (AI) algorithms for prostate biopsy grading have recently been developed. However, the potential impact of integrating such algorithms into pathologist workflows remains largely unexplored.
Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
May 11, 2020
Prostate cancer (PrCa) is the second most common cancer among men in the United States. The gold standard for detecting PrCa is the examination of prostate needle core biopsies. Diagnosis can be challenging, especially for small, well-differentiated ...
Use of Deep Learning to Develop and Analyze Computational Hematoxylin and Eosin Staining of Prostate Core Biopsy Images for Tumor Diagnosis.
JAMA network open
May 1, 2020
IMPORTANCE: Histopathological diagnoses of tumors from tissue biopsy after hematoxylin and eosin (H&E) dye staining is the criterion standard for oncological care, but H&E staining requires trained operators, dyes and reagents, and precious tissue sa...
Prediction of Occult Invasive Disease in Ductal Carcinoma in Situ Using Deep Learning Features.
Journal of the American College of Radiology : JACR
Feb 2, 2018
PURPOSE: The aim of this study was to determine whether deep features extracted from digital mammograms using a pretrained deep convolutional neural network are prognostic of occult invasive disease for patients with ductal carcinoma in situ (DCIS) o...
Prediction of organ-confined disease after robot-assisted radical prostatectomy in patients with clinically locally-advanced prostate cancer.
Asian journal of surgery
Dec 20, 2017
BACKGROUND: Little is known about the preoperative predictive factors that could identify subsets of favorable patients who can be possibly cured with robot-assisted radical prostatectomy (RARP) alone in locally advanced prostate cancer (LAPCa). Our ...
Robotic Surgical Procedures
Prostatectomy
Preoperative Care
Biopsy, Large-Core Needle
Middle Aged
Cohort Studies
Logistic Models
Neoadjuvant Therapy
Prostatic Neoplasms
Neoplasm Staging
Prostate-Specific Antigen
Neoplasm Grading
Prognosis
Retrospective Studies
Aged
Male
Humans
Forecasting
Biomarkers
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