Narrow band imaging combined with water immersion technique in the diagnosis of celiac disease

Valitutti, Francesco; Oliva, Salvatore; Iorfida, Donatella; Aloi, Marina; Gatti, Silvia; Trovato, Chiara Maria; Montuori, Monica; Tiberti, Antonio; Cucchiara, Salvatore; Nardo, Giovanni Di

doi:10.1016/j.dld.2014.08.039

Cited by 26 publications

(12 citation statements)

References 24 publications

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“…Even if the gold standard for the diagnosis of CD is considered to be the duodenal biopsy, advanced endoscopic techniques such as chromoendoscopy and water-immersion have been researched as enhanced tools to detect VA. The most notable techniques include the modified immersion technique (MIT) (Gasbarrini et al, 2003) under traditional white-light illumination (denoted as WL MIT ), as well as MIT under narrow band imaging (Emura et al, 2008;Valitutti et al, 2014) (denoted as NBI MIT ). These endoscopic techniques were specifically designed for improving the visual confirmation of CD during endoscopy.…”

Section: Discussion and Limitationsmentioning

confidence: 99%

“…Diagnostic performance was high, with 98.2% sensitivity and 96% specificity. compared different endoscopic image configuration [white-light imaging (WLI) (Gasbarrini et al, 2003) and narrow-band imaging (NBI) (Emura et al, 2008;Valitutti et al, 2014)] to find which image data are most accurate in case of computer aided CD diagnosis but in (Gadermayr et al, 2016a;Gadermayr et al, 2016b) same authors et al showed that an hybrid system which incorporated expert knowledge in automated CD diagnosis increased the accuracy with 6% (see Table 1).…”

Section: Feature Extraction Methodsmentioning

confidence: 99%

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Current Evidence on Computer-Aided Diagnosis of Celiac Disease: Systematic Review

et al. 2020

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Celiac disease (CD) is a chronic autoimmune disease that occurs in genetically predisposed individuals in whom the ingestion of gluten leads to damage of the small bowel. It is estimated to affect 1 in 100 people worldwide, but is severely underdiagnosed. Currently available guidelines require CD-specific serology and atrophic histology in duodenal biopsy samples for the diagnosis of adult CD. In pediatric CD, but in recent years in adults also, nonbioptic diagnostic strategies have become increasingly popular. In this setting, in order to increase the diagnostic rate of this pathology, endoscopy itself has been thought of as a case finding strategy by use of digital image processing techniques. Research focused on computer aided decision support used as database video capsule, endoscopy and even biopsy duodenal images. Early automated methods for diagnosis of celiac disease used feature extraction methods like spatial domain features, transform domain features, scale-invariant features and spatio-temporal features. Recent artificial intelligence (AI) techniques using deep learning (DL) methods such as convolutional neural network (CNN), support vector machines (SVM) or Bayesian inference have emerged as a breakthrough computer technology which can be used for computer aided diagnosis of celiac disease. In the current review we summarize methods used in clinical studies for classification of CD from feature extraction methods to AI techniques.

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Section: Discussion and Limitationsmentioning

confidence: 99%

Section: Feature Extraction Methodsmentioning

confidence: 99%

Current Evidence on Computer-Aided Diagnosis of Celiac Disease: Systematic Review

et al. 2020

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“…NBI/WTI identified the typical alterations of duodenal mucosa with a good concordance to histological exam by driven biopsies, showing an overall diagnostic sensitivity of 87.5% [37].…”

Section: Narrow Band Imaging (Nbi)mentioning

confidence: 98%

Current technologies for the endoscopic assessment of duodenal villous pattern in celiac disease

Ianiro

Bibbò

Pecere

et al. 2015

Computers in Biology and Medicine

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“…Even better results have been reported with the combination of NBI and magnification in the study of De Luca [28], with 100% sensitivity, 92.6% specificity, 95% accuracy, and kappa 0.9 when compared to histology (detecting partial villous atrophy in 12 patients which was missed by standard endoscopy). In the paper of Valitutti et al, when combined with water immersion, NBI showed a diagnostic sensitivity of 87.5% with high interobserver agreement (k 0.884) [29]. The Indian experience of Dutta and Goswami has also shown good diagnostic performance for NBI with sensitivity of 87.5 and 95% and specificity of 95.2 and 90.2%, respectively [30,31].…”

Section: Advanced Endoscopic Techniques In Celiac Diseasementioning

confidence: 98%

Novel Endoscopic Techniques in Celiac Disease

Vasile¹,

Popp²,

Jinga³

2017

Celiac Disease and Non-Celiac Gluten Sensitivity

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Celiac disease (CD) is a systemic, immune-mediated illness that primarily affects the small bowel. A few decades ago, in the era of Watson and Crosby capsules, we used to sample the small bowel without even looking at it. Nowadays, with the continuous developing field of digestive endoscopy, we can even see the duodenal villi up closely, allowing for an optical, real-time diagnosis of villous atrophy. Advanced endoscopic techniques such as magnification, chromoendoscopy (dye-based and digital), water immersion, confocal endomicroscopy, endocytoscopy, and optical coherence tomography (OCT) have been evaluated in CD with good results: good agreement with histology, allowing for targeted biopsies and a reduction in the number of biopsies needed for diagnosis. Moreover, with the growing use of open-access endoscopy in many parts of the world, endoscopy is now contributing to increasing the diagnostic rate of CD, by recognition of endoscopic markers in patients without clinical suspicion of this disease. This is however an observerdependent method; to overcome the endoscopists subjectiveness in assessing villous atrophy, in the last years, many papers have looked at means of computerized analysis of endoscopic images. Currently available data show that these automated, quantitative methods hold very promising for the future.

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Narrow band imaging combined with water immersion technique in the diagnosis of celiac disease

Cited by 26 publications

References 24 publications

Current Evidence on Computer-Aided Diagnosis of Celiac Disease: Systematic Review

Current Evidence on Computer-Aided Diagnosis of Celiac Disease: Systematic Review

Current technologies for the endoscopic assessment of duodenal villous pattern in celiac disease

Novel Endoscopic Techniques in Celiac Disease

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