scholarly journals DOP80 Automatic detection of ulcers and erosions in PillCam™ Crohn’s capsule using a convolutional neural network

2021 ◽  
Vol 15 (Supplement_1) ◽  
pp. S111-S112
Author(s):  
M Saraiva ◽  
T Ribeiro ◽  
J Afonso ◽  
H Cardoso ◽  
J Ferreira ◽  
...  
Keyword(s):  
Small Intestine ◽  
Sensitivity And Specificity ◽  
Automatic Detection ◽  
High Sensitivity ◽  
Response To Treatment ◽  
Automatic Identification ◽  
Tertiary Centre ◽  
Clinically Significant ◽  
Prognostic Prediction ◽  
First Time

Abstract Background Capsule endoscopy (CE) plays a central role in the management of patients with suspected or known Crohn’s disease (CD). It is indicated for the diagnosis, classification, monitoring of the response to treatment, and prognostic prediction. In 2017, PillCam™ Crohn’s Capsule (PCC) was introduced. It has demonstrated greater accuracy in detecting and evaluating the extent of lesions in these patients. However, this new tool produces thousands of images, whose revision is time-consuming and prone to errors, since lesions can be restricted to a small number of images. In the last decade, several Artificial Intelligence (AI) algorithms were developed, and demonstrated potential to mitigate some of the drawbacks of CE. Among AI tools, Convolutional Neural Networks (CNN) display the best performance for imagery analysis. This study aims to develop an AI algorithm based on an CNN for the automatic detection of ulcers and erosions of the small intestine and colon in PCC images. Methods A total of 8 085 PCC images were extracted from a single tertiary centre between 2017–2020. This pool of images was constituted by 2 855 images depicting ulcers, 1 975 erosions; the remaining with normal enteric and colonic mucosa. For the automatic identification of these findings, this pool of images was split into training and validation datasets. A CNN model with transfer learning using tensorflow and keras tools was constructed. The performance of the network was subsequently assessed in an independent test set. Results After optimizing the different layers of the CNN, our model was able to detect and distinguish small intestinal or colonic erosions or ulcers with a sensitivity and specificity of 90.0% and 96.0%, respectively. The precision and accuracy of this model were 97.1% and 92.4%, respectively (Figure 1). Particularly, the CNN detected ulcers with a sensitivity of 83% and specificity of 98%, and erosions with sensitivity and specificity of 91% and 93%, respectively. Conclusion Our group developed, for the first time, a CNN capable of automatically detecting ulcers and erosions of the small intestine and colon in PCC images with high sensitivity and specificity. These findings are extremely important since they pave the way for the development of systems for the automatic detection of clinically significant lesions, optimizing diagnostic performance and efficiency of monitoring CD activity.

scholarly journals The Application of Fluorescence Optical Imaging in Systemic Sclerosis

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Alexander Pfeil ◽  
Karl F. Drummer ◽  
Joachim Böttcher ◽  
Christian Jung ◽  
Peter Oelzner ◽  
...  
Keyword(s):  
Systemic Sclerosis ◽  
Soft Tissue ◽  
Sensitivity And Specificity ◽  
Raynaud’S Phenomenon ◽  
High Sensitivity ◽  
Raynaud's Phenomenon ◽  
Response To Treatment ◽  
Therapeutic Effects ◽  
Tissue Inflammation ◽  
Soft Tissue Inflammation

Objective. The aim of this study was to visualize soft tissue inflammation using FOI on patients with Systemic Sclerosis (SSc) characterized by SSc-related Raynaud’s phenomenon and to detect the therapeutic response to treatment with iloprost or alprostadil.Methods. Twenty-one patients with SSc and Raynaud’s phenomenon and twenty-six healthy controls were prospectively included. The SSc patients were intravenously treated with iloprost or alprostadil over seven days. FOI was performed at baseline and after seven days using an intravenous application of indocyanine green (ICG). The hands were divided into nineteen segments per hand. All segments were quantitatively evaluated to determine changes in ICG.Results. The sensitivity and specificity of FOI in the detection of ICG enhancement in patients with SSc were 95% versus 96%. At baseline, 31.5% hand segments showed ICG enhancement. After seven days of either iloprost or alprostadil therapy a significant reduction in the ICG was observed which ranged from 40.9% to 24.7%.Conclusion. The study demonstrates that the FOI technique is able to visualize soft-tissue inflammation with both high sensitivity and specificity. The anti-inflammatory therapeutic effects of iloprost were slightly stronger than alprostadil. FOI offers promising benefits in the diagnosis and therapy of patients with SSc-associated Raynaud’s phenomenon.

scholarly journals High sensitivity and specificity screening for clinically significant intimate partner violence.

2020 ◽  
Author(s):  
Richard E. Heyman ◽  
Katherine J. W. Baucom ◽  
Shu Xu ◽  
Amy M. Smith Slep ◽  
Jeffery D. Snarr ◽  
...  
Keyword(s):  
Intimate Partner Violence ◽  
Sensitivity And Specificity ◽  
Partner Violence ◽  
High Sensitivity ◽  
Intimate Partner ◽  
Clinically Significant

The sensitivity and specificity of the Modified Conflict Tactics Scale for detecting clinically significant elder abuse

2009 ◽  
Vol 21 (4) ◽  
pp. 774-778 ◽  
Author(s):  
Claudia Cooper ◽  
Kate Maxmin ◽  
Amber Selwood ◽  
Martin Blanchard ◽  
Gill Livingston
Keyword(s):  
Sensitivity And Specificity ◽  
Clinical Judgment ◽  
Scoring System ◽  
Elder Abuse ◽  
High Sensitivity ◽  
Family Carers ◽  
Conflict Tactics Scale ◽  
People With Dementia ◽  
Clinically Significant ◽  
Conflict Tactics

ABSTRACTBackground: A third of family carers of people with dementia describe acting abusively in research studies, but far fewer cases of abuse are currently detected in clinical situations. This discrepancy may be explained by inadequate detection by health professionals, or disagreement regarding what constitutes elder abuse. This study was undertaken to determine the sensitivity and specificity of the revised Modified Conflict Tactics Scale (MCTS) for detecting clinically significant abuse.Methods: We interviewed 220 family carers of people consecutively referred to psychiatric services with dementia in Essex and London (U.K.), using the MCTS to measure abuse. We defined abuse cases using (1) the MCTS conventional scoring system; (2) the Pillemer criteria; and (3) clinical judgment of an expert panel.Results: Our panel judged that 15 (6.8%) of carers reported potentially clinical concerning abusive behavior; but 47 (21%) were cases according to the Pillemer criteria and 74 (34%) using the MCTS conventional scoring system. We developed a weighted MCTS scoring system, with high sensitivity and specificity for detecting clinically concerning abuse.Conclusions: The MCTS could be used routinely in clinical practice with carers of people with dementia to detect clinically concerning cases of abuse, many of which are currently being missed.

scholarly journals P674 Definition of a microbial signature as a predictor of anti-TNFα treatment response

2021 ◽  
Vol 15 (Supplement_1) ◽  
pp. S595-S595
Author(s):  
L Oliver ◽  
D Busquets ◽  
J Amoedo ◽  
S Ramió-Pujol ◽  
M Malagón ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Treatment Response ◽  
Sensitivity And Specificity ◽  
Predictive Value ◽  
Bacterial Load ◽  
High Sensitivity ◽  
Response To Treatment ◽  
Biologic Treatment ◽  
Faecal Calprotectin

Abstract Background Crohn’s disease (CD) and ulcerative colitis (UC) evolve with alternate outbreaks and remissions of variable duration. Tumour necrosis factor α antagonists (anti-TNFα) have enhanced the treatment of patients with inflammatory bowel disease (IBD), improving the patient’s quality of life by reducing the number of surgeries and hospitalizations. Despite these advances, about 10–30% of patients do not respond to the treatment after the induction period. Recent studies have pointed, on one hand, gut microbiota can play a role in the anti-TNFα treatment response as gram-positive bacteria can modulate the response of NOD proteins and, on the other hand, gram-negative bacteria can stimulate TLR4 receptors causing activation of NFkß. This study aimed to define a microbial signature that could be used to predict the response of patients with CD and UC to anti-TNFα treatment. Methods This observational study consisted of obtaining a stool sample from 38 IBD patients before starting an anti-TNFα treatment. Patients were recruited at Hospital Universitari Dr. Josep Trueta (Girona) and Hospital Universitari de Bellvitge (l’Hospitalet de Llobregat). During the one-year follow-up period, disease activity levels, faecal calprotectin evolution, and anti-TNFα antibody levels were analysed to assess response to treatment, differentiating 2 groups: responders and non-responders. From each sample, DNA was purified and used in a qPCR for the quantification of the following markers: F. prausnitzii (Fpra) and its phylogroups (PHG-I and PHG-II), E. coli (Eco), A. muciniphila (Akk), Ruminococcus sp. (Rum), Bacteroidetes (Bac), M. smithii (Msm), and the total bacterial load (Eub). Results In this proof of concept, the predictive ability to identify anti-TNFα treatment responders was analysed. Individually, none of biomarkers demonstrated the ability to differentiate between groups with high sensitivity and specificity. However, an algorithm consisting of the combination of 5 microbial markers (Msm, Fpra, PHGII, Rum, and Eub) showed a high capacity to discriminate between responders and non-responders. The algorithm proved high sensitivity and specificity reporting values ​​of 93.33% and 100%, respectively, with a positive predictive value of 100% and a negative predictive value of 75% for predicting response to biologic treatment. Conclusion A specific microbial signature could beneficiate patients with IBD by predicting the therapeutic effectiveness of an anti-TNFα treatment, which could lead to a personalized therapy, improving the patients’ quality of life, saving costs, and gaining time in patient recovery.A larger prospective study will be needed to validate these results.

Detector-C: A Blood-based IVD with High Sensitivity and Specificity for Early Detection and Screening of Colorectal Cancer

2010 ◽  
Vol 48 (08) ◽  
Author(s):  
A Rosenthal ◽  
H Köppen ◽  
R Musikowski ◽  
R Schwanitz ◽  
J Behrendt ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Early Detection ◽  
Sensitivity And Specificity ◽  
High Sensitivity

Trends in Diagnosis for Active Tuberculosis Using Nanomaterials

2019 ◽  
Vol 26 (11) ◽  
pp. 1946-1959 ◽  
Author(s):  
Le Minh Tu Phan ◽  
Lemma Teshome Tufa ◽  
Hwa-Jung Kim ◽  
Jaebeom Lee ◽  
Tae Jung Park
Keyword(s):  
Sensitivity And Specificity ◽  
High Efficiency ◽  
Point Of Care ◽  
High Sensitivity ◽  
Signs And Symptoms ◽  
Diagnostic Methods ◽  
Advantages And Disadvantages ◽  
Treatment And Prevention ◽  
Clinical Tools ◽  
Diagnostic Applications

Background:Tuberculosis (TB), one of the leading causes of death worldwide, is difficult to diagnose based only on signs and symptoms. Methods for TB detection are continuously being researched to design novel effective clinical tools for the diagnosis of TB.Objective:This article reviews the methods to diagnose TB at the latent and active stages and to recognize prospective TB diagnostic methods based on nanomaterials.Methods:The current methods for TB diagnosis were reviewed by evaluating their advantages and disadvantages. Furthermore, the trends in TB detection using nanomaterials were discussed regarding their performance capacity for clinical diagnostic applications.Results:Current methods such as microscopy, culture, and tuberculin skin test are still being employed to diagnose TB, however, a highly sensitive point of care tool without false results is still needed. The utilization of nanomaterials to detect the specific TB biomarkers with high sensitivity and specificity can provide a possible strategy to rapidly diagnose TB. Although it is challenging for nanodiagnostic platforms to be assessed in clinical trials, active TB diagnosis using nanomaterials is highly expected to achieve clinical significance for regular application. In addition, aspects and future directions in developing the high-efficiency tools to diagnose active TB using advanced nanomaterials are expounded.Conclusion:This review suggests that nanomaterials have high potential as rapid, costeffective tools to enhance the diagnostic sensitivity and specificity for the accurate diagnosis, treatment, and prevention of TB. Hence, portable nanobiosensors can be alternative effective tests to be exploited globally after clinical trial execution.

Value of Coronary Calcium Scoring in Symptomatic and Asymptomatic Coronary Artery Disease Patients

2020 ◽  
Vol 16 ◽  
Author(s):  
Hala T. Salem ◽  
Eman A.S. Sabek
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Sensitivity And Specificity ◽  
High Sensitivity ◽  
Coronary Calcium ◽  
Risk Estimate ◽  
Calcium Scoring ◽  
Coronary Calcium Scoring ◽  
Framingham Risk ◽  
Artery Disease

Aim and Objective: To estimate the relationship between Coronary Calcium Scoring (CCS)and presence of different degrees of obstructive coronary artery disease (CAD) to avoid unnecessary examinations and hence unnecessary radiation exposure and contrast injection. Background: Coronary Calcium Scoring (CCS) is a test uses x-ray equipment to produce pictures of the coronary arteries to determine the degree of its narrowing by the build-up of calcified plaques. Despite the lack of definitive data linking ionizing radiation with cancer, the American Heart Association supports widely that practitioners of Computed tomography Coronary Angiography (CTCA) should keep “patient radiation doses as low as reasonably achievable but consistent with obtaining the desired medical information”. Methods: Data obtained from 275 CTCA examinations were reviewed. Radiation effective doses were estimated for both CCS and CTCA, measures to keep it as low as possible were presented, CCS and Framingham risk estimate were compared to the final results of CTCA to detect sensitivity and specificity of each one in detecting obstructive lesions. Results: CCS is a strong discriminator for obstructive CAD and can with high sensitivity and specificity and correlates well with the degree of obstruction even more than Framingham risk estimate which has high sensitivity and low specificity. Conclusion: CCS helps reducing the effective radiation dose if properly evaluated to skip unnecessary CTCA if obstructive lesions was unlikely, and as a test does not use contrast material, harmful effect on the kidney will be avoided as most of coronary atherosclerotic patients have renal problems.

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