scholarly journals ROLE OF NARROW BAND IMAGING SYSTEM IN EARLY DIAGNOSIS OF POTENTIALLY MALIGNANT LESIONS OF ORAL CAVITY

2016 ◽  
Vol 3 (57) ◽  
pp. 2988-2991
Author(s):  
Laveena P Mehta ◽  
Yessukrishna Prabhakar Shetty ◽  
Sharad B Bhalekar ◽  
Yogesh G Dabholkar ◽  
Haritosh K Velankar
Keyword(s):  
Early Diagnosis ◽  
Oral Cavity ◽  
Imaging System ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Potentially Malignant ◽  
Malignant Lesions

scholarly journals Demographics and targeted biopsy with NBI in head and neck mucosal lesions

2020 ◽  
Vol 6 (11) ◽  
pp. 2064
Author(s):  
Pranay Bhandari ◽  
Kavita Sachdeva
Keyword(s):  
Oral Cavity ◽  
Head And Neck ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Correct Diagnosis ◽  
Age Distribution ◽  
Targeted Biopsy ◽  
Female Ratio ◽  
Malignant Lesions ◽  
Mucosal Lesions

<p class="abstract"><strong>Background:</strong> It is estimated that by the end of year 2020 over 10 million people worldwide would die of cancer every year and about 66% of these would be from developing world like India (WHO-UCC 2003). Our aim in present study was to evaluate the use of targeted biopsy of mucosal lesions of head and neck cancer using narrow band imaging technique, in order to yield more accurate specimen of lesion which will result in correct diagnosis of disease early and to study different demographics of patients.</p><p class="abstract"><strong>Methods:</strong> Patients lesions were examined under NBI endoscope, best site of biopsy were identified on the basis of increase vascularity, neo-angiogenesis and superficial capillary vessels. Biopsy were taken from this site and sent for histopathological examinations. Considering histopathological report as standard, results from NBI endoscopy were compared to the results of previous studies and conclusion was done. We also studied different demographics of these patients under site of lesion, age distribution, sex distribution, and locality, histopathology type.  </p><p class="abstract"><strong>Results:</strong> Maximum lesions were found in oral cavity (56.33%). Malignancy was also more common in oral cavity (63.46%), mostly belong to squamous cell carcinoma on histopathology. Mean age of presentation of head and neck mucosal lesion was found to be 48 year and of malignant lesions is 54 years.</p><p class="abstract"><strong>Conclusions:</strong> We conclude that up to an extent with progression of age malignant lesions increase. Male to female ratio of mucosal lesions is 1.7:1 and of malignancy is 2.25:1. Narrow band imaging endoscopy helps us to identify best site of biopsy, helping in early diagnosis of disease and ultimately reducing morbidity and mortality of patient.</p>

scholarly journals Advances in Optical Adjunctive Aids for Visualisation and Detection of Oral Malignant and Potentially Malignant Lesions

2013 ◽  
Vol 2013 ◽  
pp. 1-17 ◽  
Author(s):  
Nirav Bhatia ◽  
Yastira Lalla ◽  
An N. Vu ◽  
Camile S. Farah
Keyword(s):  
Narrow Band ◽  
Narrow Band Imaging ◽  
The Novel ◽  
Benign Lesions ◽  
Oral Potentially Malignant Disorders ◽  
Digital Palpation ◽  
Oral Mucosal Lesions ◽  
Potentially Malignant ◽  
Malignant Lesions ◽  
Oral Malignancies

Traditional methods of screening for oral potentially malignant disorders and oral malignancies involve a conventional oral examination with digital palpation. Evidence indicates that conventional examination is a poor discriminator of oral mucosal lesions. A number of optical aids have been developed to assist the clinician to detect oral mucosal abnormalities and to differentiate benign lesions from sinister pathology. This paper discusses advances in optical technologies designed for the detection of oral mucosal abnormalities. The literature regarding such devices, VELscope and Identafi, is critically analysed, and the novel use of Narrow Band Imaging within the oral cavity is also discussed. Optical aids are effective in assisting with the detection of oral mucosal abnormalities; however, further research is required to evaluate the usefulness of these devices in differentiating benign lesions from potentially malignant and malignant lesions.

scholarly journals Role of magnifying endoscopy with narrow‐band imaging in the diagnosis of noninvasive gastric neoplasia

JGH Open ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 446-453
Author(s):  
Keisuke Tanaka ◽  
Shinya Maekawa ◽  
Takashi Yoshida ◽  
Tatsuya Yamaguchi ◽  
Shinichi Takano ◽  
...  
Keyword(s):  
Narrow Band ◽  
Narrow Band Imaging ◽  
Magnifying Endoscopy ◽  
Gastric Neoplasia

scholarly journals Manual versus Automatic Classification of Laryngeal Lesions based on Vascular Patterns in CE+NBI Images

2020 ◽  
Vol 6 (3) ◽  
pp. 70-73
Author(s):  
Nazila Esmaeili ◽  
Alfredo Illanes ◽  
Axel Boese ◽  
Nikolaos Davaris ◽  
Christoph Arens ◽  
...  
Keyword(s):  
Vocal Fold ◽  
Narrow Band ◽  
Narrow Band Imaging ◽  
Automatic Classification ◽  
Vascular Pattern ◽  
Objective Interpretation ◽  
Laryngeal Lesions ◽  
Malignant Lesions ◽  
Manual Classification

AbstractLongitudinal and perpendicular changes in the blood vessels of the vocal fold have been related to the advancement from benign to malignant laryngeal cancer stages. The combination of Contact Endoscopy (CE) and Narrow Band Imaging (NBI) provides intraoperative realtime visualization of vascular pattern in Larynx. The evaluation of these vascular patterns in CE+NBI images is a subjective process leading to differentiation difficulty and subjectivity between benign and malignant lesions. The main objective of this work is to compare multi-observer classification versus automatic classification of laryngeal lesions. Six clinicians visually classified CE+NBI images into benign and malignant lesions. For the automatic classification of CE+NBI images, we used an algorithm based on characterizing the level of the vessel’s disorder. The results of the manual classification showed that there is no objective interpretation, leading to difficulties to visually distinguish between benign and malignant lesions. The results of the automatic classification of CE+NBI images on the other hand showed the capability of the algorithm to solve these issues. Based on the observed results we believe that, the automatic approach could be a valuable tool to assist clinicians to classifying laryngeal lesions.

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