Diagnostic accuracy of probe-based confocal laser endomicroscopy in detecting residual colorectal neoplasia after EMR: a prospective study

2012 ◽  
Vol 75 (3) ◽  
pp. 525-533.e1 ◽  
Author(s):  
Muhammad W. Shahid ◽  
Anna M. Buchner ◽  
Emmanuel Coron ◽  
Timothy A. Woodward ◽  
Massimo Raimondo ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Prospective Study ◽  
Colorectal Neoplasia ◽  
Confocal Laser Endomicroscopy ◽  
Confocal Laser ◽  
A Prospective Study

Diagnosis of gastric intestinal metaplasia with confocal laser endomicroscopy in vivo: a prospective study

Endoscopy ◽  
2008 ◽  
Vol 40 (07) ◽  
pp. 547-553 ◽  
Author(s):  
Y.-T. Guo ◽  
Y.-Q. Li ◽  
T. Yu ◽  
T.-G. Zhang ◽  
J.-N. Zhang ◽  
...  
Keyword(s):  
Prospective Study ◽  
Intestinal Metaplasia ◽  
Confocal Laser Endomicroscopy ◽  
Confocal Laser ◽  
Gastric Intestinal Metaplasia ◽  
A Prospective Study

scholarly journals Confocal laser endomicroscopy for diagnosis ofHelicobacter pyloriinfection: A prospective study

2010 ◽  
Vol 25 (4) ◽  
pp. 700-705 ◽  
Author(s):  
Rui Ji ◽  
Yan-Qing Li ◽  
Xiao-meng Gu ◽  
Tao Yu ◽  
Xiu-Li Zuo ◽  
...  
Keyword(s):  
Prospective Study ◽  
Confocal Laser Endomicroscopy ◽  
Confocal Laser ◽  
A Prospective Study

Diagnostic accuracy of breast MRI for patients with suspicious nipple discharge and negative mammography and ultrasound: a prospective study

2021 ◽  
Author(s):  
Martine Boisserie-Lacroix ◽  
Isabelle Doutriaux-Dumoulin ◽  
Jocelyne Chopier ◽  
Bruno Boyer ◽  
Marie-Pierre Depetiteville ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Prospective Study ◽  
Nipple Discharge ◽  
Breast Mri ◽  
A Prospective Study

scholarly journals Deep learning systems detect dysplasia with human-like accuracy using histopathology and probe-based confocal laser endomicroscopy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shan Guleria ◽  
Tilak U. Shah ◽  
J. Vincent Pulido ◽  
Matthew Fasullo ◽  
Lubaina Ehsan ◽  
...  
Keyword(s):  
Deep Learning ◽  
Diagnostic Accuracy ◽  
High Sensitivity ◽  
Confocal Laser Endomicroscopy ◽  
Confocal Laser ◽  
Learning Approaches ◽  
Learning Models ◽  
Whole Slide Image ◽  
Slide Image ◽  
Level Model

AbstractProbe-based confocal laser endomicroscopy (pCLE) allows for real-time diagnosis of dysplasia and cancer in Barrett’s esophagus (BE) but is limited by low sensitivity. Even the gold standard of histopathology is hindered by poor agreement between pathologists. We deployed deep-learning-based image and video analysis in order to improve diagnostic accuracy of pCLE videos and biopsy images. Blinded experts categorized biopsies and pCLE videos as squamous, non-dysplastic BE, or dysplasia/cancer, and deep learning models were trained to classify the data into these three categories. Biopsy classification was conducted using two distinct approaches—a patch-level model and a whole-slide-image-level model. Gradient-weighted class activation maps (Grad-CAMs) were extracted from pCLE and biopsy models in order to determine tissue structures deemed relevant by the models. 1970 pCLE videos, 897,931 biopsy patches, and 387 whole-slide images were used to train, test, and validate the models. In pCLE analysis, models achieved a high sensitivity for dysplasia (71%) and an overall accuracy of 90% for all classes. For biopsies at the patch level, the model achieved a sensitivity of 72% for dysplasia and an overall accuracy of 90%. The whole-slide-image-level model achieved a sensitivity of 90% for dysplasia and 94% overall accuracy. Grad-CAMs for all models showed activation in medically relevant tissue regions. Our deep learning models achieved high diagnostic accuracy for both pCLE-based and histopathologic diagnosis of esophageal dysplasia and its precursors, similar to human accuracy in prior studies. These machine learning approaches may improve accuracy and efficiency of current screening protocols.

scholarly journals Diagnostic accuracy of fetal renal pelvis anteroposterior diameter as a predictor of uropathy: a prospective study

2004 ◽  
Vol 24 (7) ◽  
pp. 745-749 ◽  
Author(s):  
M. C. F. Bouzada ◽  
E. A. Oliveira ◽  
A. K. Pereira ◽  
H. V. Leite ◽  
A. M. Rodrigues ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Prospective Study ◽  
Renal Pelvis ◽  
Anteroposterior Diameter ◽  
A Prospective Study
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