scholarly journals Laryngeal Lesion Classification Based on Vascular Patterns in Contact Endoscopy and Narrow Band Imaging: Manual Versus Automatic Approach

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 4018
Author(s):  
Nazila Esmaeili ◽  
Alfredo Illanes ◽  
Axel Boese ◽  
Nikolaos Davaris ◽  
Christoph Arens ◽  
...  
Keyword(s):  
Narrow Band ◽  
Narrow Band Imaging ◽  
Subjective Evaluation ◽  
Vascular Changes ◽  
Visual Evaluation ◽  
Laryngeal Lesion ◽  
Laryngeal Mucosa ◽  
Supervised Classifiers ◽  
Real Time Visualization ◽  
Computer Based

Longitudinal and perpendicular changes in the vocal fold’s blood vessels are associated with the development of benign and malignant laryngeal lesions. The combination of Contact Endoscopy (CE) and Narrow Band Imaging (NBI) can provide intraoperative real-time visualization of the vascular changes in the laryngeal mucosa. However, the visual evaluation of vascular patterns in CE-NBI images is challenging and highly depends on the clinicians’ experience. The current study aims to evaluate and compare the performance of a manual and an automatic approach for laryngeal lesion’s classification based on vascular patterns in CE-NBI images. In the manual approach, six observers visually evaluated a series of CE+NBI images that belong to a patient and then classified the patient as benign or malignant. For the automatic classification, an algorithm based on characterizing the level of the vessel’s disorder in combination with four supervised classifiers was used to classify CE-NBI images. The results showed that the manual approach’s subjective evaluation could be reduced by using a computer-based approach. Moreover, the automatic approach showed the potential to work as an assistant system in case of disagreements among clinicians and to reduce the manual approach’s misclassification issue.

scholarly journals Evaluation of Vascular Patterns Using Contact Endoscopy and Narrow-Band Imaging (CE-NBI) for the Diagnosis of Vocal Fold Malignancy

Cancers ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 248 ◽  
Author(s):  
Nikolaos Davaris ◽  
Anke Lux ◽  
Nazila Esmaeili ◽  
Alfredo Illanes ◽  
Axel Boese ◽  
...  
Keyword(s):  
Vocal Fold ◽  
Interobserver Agreement ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Vocal Folds ◽  
Premalignant Lesions ◽  
Vascular Changes ◽  
Real Time Visualization ◽  
European Laryngological Society ◽  
Level Of Agreement

The endoscopic detection of perpendicular vascular changes (PVC) of the vocal folds has been associated with vocal fold cancer, dysplastic lesions, and papillomatosis, according to a classification proposed by the European Laryngological Society (ELS). The combination of contact endoscopy with narrow-band imaging (NBI-CE) allows intraoperatively a highly contrasted, real-time visualization of vascular changes of the vocal folds. Aim of the present study was to determine the association of PVC to specific histological diagnoses, the level of interobserver agreement in the detection of PVC, and their diagnostic effectiveness in diagnosing laryngeal malignancy. The evaluation of our data confirmed the association of PVC to vocal fold cancer, dysplastic lesions, and papillomatosis. The level of agreement between the observers in the identification of PVC was moderate for the less-experienced observers and almost perfect for the experienced observers. The identification of PVC during NBI-CE proved to be a valuable indicator for diagnosing malignant and premalignant lesions.

scholarly journals Diagnosis of Laryngeal Pemphigus Vulgaris Can Be Facilitated Using Advanced Endoscopic Methods

Medicina ◽  
2021 ◽  
Vol 57 (7) ◽  
pp. 686
Author(s):  
Lucia Staníková ◽  
Martin Formánek ◽  
Pavel Hurník ◽  
Peter Kántor ◽  
Pavel Komínek ◽  
...  
Keyword(s):  
Early Diagnosis ◽  
Retrospective Analysis ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Pemphigus Vulgaris ◽  
Tertiary Hospital ◽  
Specific Pattern ◽  
Vascular Changes ◽  
Mucosal Lesions ◽  
Endoscopic Methods

Background: Isolated laryngeal pemphigus vulgaris (LPV) is rare; however, early diagnosis is crucial in determining its course and prognosis. This paper aims to describe mucosal vascular changes typical for LPV using advanced endoscopic methods, which include Narrow Band Imaging (NBI), IMAGE1-S video-endoscopy and enhanced contact endoscopy (ECE). Materials and Methods: Retrospective analysis of all laryngeal mucosal lesion examined using advanced endoscopic methods during 2018–2020 at tertiary hospital was performed. Results: Videolaryngoscopy examination records of 278 patients with laryngeal mucosal lesions were analyzed; three of them were diagnosed with LPV. Epithelial vascularization of LPV included specific pattern. Intraepithelial papillary capillary loops were symmetrically stratified and were organized into “contour-like lines”. This specific vascularization associated with LPV were different from other laryngeal mucosal pathologies. Conclusions: Using advanced endoscopic methods supports early diagnosis of LPV and accelerate the diagnosis and treatment.

Community gastroenterologists can learn diminutive colon polyp histology characterization with narrow band imaging by a computer‐based teaching module

2014 ◽  
Vol 27 (3) ◽  
pp. 374-380 ◽  
Author(s):  
Preetika Sinh ◽  
Neil Gupta ◽  
Deepthi S. Rao ◽  
Sachin Wani ◽  
Prateek Sharma ◽  
...  
Keyword(s):  
Narrow Band ◽  
Narrow Band Imaging ◽  
Colon Polyp ◽  
Teaching Module ◽  
Computer Based

Computer-based classification of small colorectal polyps by using narrow-band imaging with optical magnification

2011 ◽  
Vol 74 (6) ◽  
pp. 1354-1359 ◽  
Author(s):  
Sebastian Gross ◽  
Christian Trautwein ◽  
Alexander Behrens ◽  
Ron Winograd ◽  
Stephan Palm ◽  
...  
Keyword(s):  
Narrow Band ◽  
Narrow Band Imaging ◽  
Colorectal Polyps ◽  
Optical Magnification ◽  
Computer Based

scholarly journals Validation of the European Laryngological Society classification of glottic vascular changes as seen by narrow band imaging in the optical biopsy setting

2021 ◽  
Author(s):  
Francesco Missale ◽  
Stefano Taboni ◽  
Andrea Luigi Camillo Carobbio ◽  
Francesco Mazzola ◽  
Giulia Berretti ◽  
...  
Keyword(s):  
Test Performance ◽  
Predictive Value ◽  
Interobserver Agreement ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Intraepithelial Neoplasia ◽  
Optical Biopsy ◽  
Vascular Changes ◽  
Laryngeal Lesions ◽  
European Laryngological Society

Abstract Purpose In 2016, the European Laryngological Society (ELS) proposed a classification for vascular changes occurring in glottic lesions as visible by narrow band imaging (NBI), based on the dichotomic distinction between longitudinal vessels (not suspicious) and perpendicular ones (suspicious). The aim of our study was to validate this classification assessing the interobserver agreement and diagnostic test performance in detecting the final histopathology. Methods A retrospective study was carried out by reviewing clinical charts, preoperative videos, and final pathologic diagnosis of patients submitted to transoral microsurgery for laryngeal lesions in two Italian referral centers. In each institution, two physicians, independently re-assessed each case applying the ELS classification. Results The cohort was composed of 707 patients. The pathologic report showed benign lesions in 208 (29.5%) cases, papillomatosis in 34 (4.8%), squamous intraepithelial neoplasia (SIN) up to carcinoma in situ in 200 (28.2%), and squamous cell carcinoma (SCC) in 265 (37.5%). The interobserver agreement was extremely high in both institutions (k = 0.954, p < 0.001 and k = 0.880, p < 0.001). Considering the diagnostic performance for identification of at least SIN or SCC, the sensitivity was 0.804 and 0.902, the specificity 0.793 and 0.581, the positive predictive value 0.882 and 0.564, and the negative predictive value 0.678 and 0.908, respectively. Conclusion The ELS classification for NBI vascular changes of glottic lesions is a highly reliable tool whose systematic use allows a better diagnostic evaluation of suspicious laryngeal lesions, reliably distinguishing benign ones from those with a diagnosis of papillomatosis, SIN or SCC, thus paving the way towards confirmation of the optical biopsy concept.

scholarly journals Deep Convolution Neural Network for Laryngeal Cancer Classification on Contact Endoscopy-Narrow Band Imaging

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8157
Author(s):  
Nazila Esmaeili ◽  
Esam Sharaf ◽  
Elmer Jeto Gomes Ataide ◽  
Alfredo Illanes ◽  
Axel Boese ◽  
...  
Keyword(s):  
Laryngeal Cancer ◽  
High Performance ◽  
Performance Metrics ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Visual Assessment ◽  
Fine Tuning ◽  
Deep Convolutional Neural Networks ◽  
Laryngeal Mucosa ◽  
Unseen Data

(1) Background: Contact Endoscopy (CE) and Narrow Band Imaging (NBI) are optical imaging modalities that can provide enhanced and magnified visualization of the superficial vascular networks in the laryngeal mucosa. The similarity of vascular structures between benign and malignant lesions causes a challenge in the visual assessment of CE-NBI images. The main objective of this study is to use Deep Convolutional Neural Networks (DCNN) for the automatic classification of CE-NBI images into benign and malignant groups with minimal human intervention. (2) Methods: A pretrained Res-Net50 model combined with the cut-off-layer technique was selected as the DCNN architecture. A dataset of 8181 CE-NBI images was used during the fine-tuning process in three experiments where several models were generated and validated. The accuracy, sensitivity, and specificity were calculated as the performance metrics in each validation and testing scenario. (3) Results: Out of a total of 72 trained and tested models in all experiments, Model 5 showed high performance. This model is considerably smaller than the full ResNet50 architecture and achieved the testing accuracy of 0.835 on the unseen data during the last experiment. (4) Conclusion: The proposed fine-tuned ResNet50 model showed a high performance to classify CE-NBI images into the benign and malignant groups and has the potential to be part of an assisted system for automatic laryngeal cancer detection.

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