Deep Learning for nasopharyngeal Carcinoma Identification Using Both White Light and Narrow‐Band Imaging Endoscopy

2021 ◽  
Author(s):  
Jianwei Xu ◽  
Jun Wang ◽  
Xianzhang Bian ◽  
Ji‐Qing Zhu ◽  
Cheng‐Wei Tie ◽  
...  
Keyword(s):  
Deep Learning ◽  
Nasopharyngeal Carcinoma ◽  
White Light ◽  
Narrow Band ◽  
Narrow Band Imaging

Narrow band imaging endoscopy of the nasopharynx is not more useful than white light endoscopy for suspected nasopharyngeal carcinoma

2016 ◽  
Vol 273 (10) ◽  
pp. 3363-3369 ◽  
Author(s):  
Alexander C. Vlantis ◽  
John K. S. Woo ◽  
Michael C. F. Tong ◽  
Ann D. King ◽  
William Goggins ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
White Light ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
White Light Endoscopy

scholarly journals Deep Learning Applied to White Light and Narrow Band Imaging Videolaryngoscopy: Toward Real‐Time Laryngeal Cancer Detection

2021 ◽  
Author(s):  
Muhammad Adeel Azam ◽  
Claudio Sampieri ◽  
Alessandro Ioppi ◽  
Stefano Africano ◽  
Alberto Vallin ◽  
...  
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Laryngeal Cancer ◽  
Cancer Detection ◽  
White Light ◽  
Narrow Band ◽  
Narrow Band Imaging

scholarly journals A meta-analysis of narrow-band imaging for the diagnosis of primary nasopharyngeal carcinoma

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 759 ◽  
Author(s):  
David CM Yeung ◽  
Alexander C Vlantis ◽  
Eddy WY Wong ◽  
Michael CF Tong ◽  
Jason YK Chan
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Likelihood Ratio ◽  
White Light ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Detection Rates ◽  
White Light Endoscopy ◽  
Significant Difference

Background: Narrow band imaging (NBI), an endoscopic technique featuring an augmented definition of microvasculature and mucosal patterns. NBI is increasingly advocated as a tool to characterize neoplasia and intestinal metaplasia in endoscopic standards, such as for colorectal polyps and tumors. Recently NBI has also been studied in the detection of Nasopharyngeal Carcinoma (NPC). Here we aimed to assess the diagnostic utility of NBI for the diagnosis of NPC. Methods: A meta-analysis of studies comparing narrow-band imaging and white light endoscopy in the diagnosis of primary nasopharyngeal carcinoma was performed. The review process involved two independent investigators. The databases used were MEDLINE, PubMed, the Cochrane library, Embase, and the Web of Science. Statistical analysis was performed with OpenMetaAnalyst, MetaDiSc version 1.4, and Medcalc version 17.9.7.  Results: Five studies including 2480 patients were included. The sensitivity and specificity for narrow-band imaging were 0.90 (0.73-0.97) and 0.95 (0.81-0.99) respectively. The positive likelihood ratio and negative likelihood ratio were 18.82 (0.31-82.1) and 0.08 (0.02-0.31). For white light endoscopy, the sensitivity and specificity were 0.77 (0.58-0.89) and 0.91 (0.79-0.96). The positive likelihood ratio was 7.61 (3.61-16.04), and the negative likelihood ratio was 0.21 (0.11-0.39). The odds ratio for detection rates between narrow-band imaging and white light endoscopy was 4.29 (0.56-33.03, p = 0.16). Area under the curve for narrow-band imaging was 0.98 (SE: 0.02), and for white light it was 0.93 (SE: 0.03). There was no significant difference in the receiver operating characteristic curves between the two modalities (p = 0.14). Conclusion: Narrow-band imaging showed a higher sensitivity and positive likelihood ratio for the diagnosis of nasopharyngeal carcinoma. However, there was no significant difference in detection rates compared to white light endoscopy. Further investigation with a uniform diagnostic criteria and terminology is needed for narrow-band imaging in the diagnosis of nasopharyngeal carcinoma.

scholarly journals PICCOLO White-Light and Narrow-Band Imaging Colonoscopic Dataset: A Performance Comparative of Models and Datasets

2020 ◽  
Vol 10 (23) ◽  
pp. 8501
Author(s):  
Luisa F. Sánchez-Peralta ◽  
J. Blas Pagador ◽  
Artzai Picón ◽  
Ángel José Calderón ◽  
Francisco Polo ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Deep Learning ◽  
White Light ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Polyp Detection ◽  
Test Set ◽  
Learning Techniques ◽  
Adenoma Detection ◽  
Comparison Results

Colorectal cancer is one of the world leading death causes. Fortunately, an early diagnosis allows for effective treatment, increasing the survival rate. Deep learning techniques have shown their utility for increasing the adenoma detection rate at colonoscopy, but a dataset is usually required so the model can automatically learn features that characterize the polyps. In this work, we present the PICCOLO dataset, that comprises 3433 manually annotated images (2131 white-light images 1302 narrow-band images), originated from 76 lesions from 40 patients, which are distributed into training (2203), validation (897) and test (333) sets assuring patient independence between sets. Furthermore, clinical metadata are also provided for each lesion. Four different models, obtained by combining two backbones and two encoder–decoder architectures, are trained with the PICCOLO dataset and other two publicly available datasets for comparison. Results are provided for the test set of each dataset. Models trained with the PICCOLO dataset have a better generalization capacity, as they perform more uniformly along test sets of all datasets, rather than obtaining the best results for its own test set. This dataset is available at the website of the Basque Biobank, so it is expected that it will contribute to the further development of deep learning methods for polyp detection, localisation and classification, which would eventually result in a better and earlier diagnosis of colorectal cancer, hence improving patient outcomes.

scholarly journals The Impact of Narrow-band Imaging on the Pre- and Intra- operative Assessments of Neoplastic and Preneoplastic Laryngeal Lesions. A Systematic Review

2020 ◽  
Author(s):  
Carmelo Saraniti ◽  
Enzo Chianetta ◽  
Giuseppe Greco ◽  
Norhafiza Mat Lazim ◽  
Barbara Verro
Keyword(s):  
White Light ◽  
Diagnostic Tool ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Resection Margins ◽  
Predictive Values ◽  
White Light Endoscopy ◽  
Laryngeal Lesions ◽  
Sensitivity Specificity ◽  
The Impact

Introduction Narrow-band imaging is an endoscopic diagnostic tool that, focusing on superficial vascular changes, is useful to detect suspicious laryngeal lesions, enabling their complete excision with safe and tailored resection margins. Objectives To analyze the applications and benefits of narrow-band imaging in detecting premalignant and malignant laryngeal lesions through a comparison with white-light endoscopy. Data Synthesis A literature search was performed in the PubMed, Scopus and Web of Science databases using strict keywords. Then, two authors independently analyzed the articles, read the titles and abstracts, and read completely only the relevant studies according to certain eligibility criteria. In total, 14 articles have been included in the present review; the sensitivity, specificity, positive and negative predictive values, and accuracy of pre- and/or intraoperative narrow-band imaging were analyzed. The analysis showed that narrow-band imaging is better than white-light endoscopy in terms of sensitivity, specificity, positive and negative predictive values, and accuracy regarding the ability to identify cancer and/or precancerous laryngeal lesions. Moreover, the intraoperative performance of narrow-band imaging resulted more effective than the in-office performance. Conclusion Narrow-band imaging is an effective diagnostic tool to detect premalignant and malignant laryngeal lesions and to define proper resection margins. Moreover, narrow-band imaging is useful in cases of leukoplakia that may cover a possible malignant lesion and that cannot be easily assessed with white-light endoscopy. Finally, a shared, simple and practical classification of laryngeal lesions, such as that of the European Laryngological Society, is required to identify a shared lesion management strategy. Key Points

scholarly journals Evaluating Laryngopharyngeal Tumor Extension Using Narrow Band Imaging Versus Conventional White Light Imaging

2021 ◽  
Author(s):  
Manon A. Zwakenberg ◽  
Gyorgy B. Halmos ◽  
Jan Wedman ◽  
Bernard F. A. M. Laan ◽  
Boudewijn E. C. Plaat
Keyword(s):  
White Light ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Tumor Extension ◽  
White Light Imaging

The Comparison of Narrow Band Imaging, White Light Laryngoscopy and Videolaryngostroboscopy in the Evaluation of Benign Vocal Fold Lesions

2021 ◽  
Author(s):  
Yetkin Zeki Yılmaz ◽  
Müge Uğurlar ◽  
Begüm Bahar Yılmaz ◽  
Züleyha Dilek Gülmez ◽  
Hasan Ahmet Özdoğan ◽  
...  
Keyword(s):  
White Light ◽  
Vocal Fold ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Benign Vocal Fold Lesions
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