Extraction of Laryngeal Cancer Informative Frames from Narrow Band Endoscopic Videos

AbstractObjective:To investigate the characteristics of the laryngeal mucosal microvascular network in suspected laryngeal cancer patients, using narrow band imaging, and to evaluate the value of narrow band imaging endoscopy in the early diagnosis of laryngeal precancerous and cancerous lesions.Patients and methods:Eighty-five consecutive patients with suspected precancerous or cancerous laryngeal lesions were enrolled in the study. Endoscopic narrow band imaging findings were classified into five types (I to V) according to the features of the mucosal intraepithelial papillary capillary loops assessed.Results:A total of 104 lesions (45 malignancies and 59 nonmalignancies) was detected under white light and narrow band imaging modes. The sensitivity and specificity of narrow band imaging in detecting malignant lesions were 88.9 and 93.2 per cent, respectively. The intraepithelial papillary capillary loop classification, as determined by narrow band imaging, was closely associated with the laryngeal lesions' histological findings. Type I to IV lesions were considered nonmalignant and type V lesions malignant. For type Va lesions, the sensitivity and specificity of narrow band imaging in detecting severe dysplasia or carcinoma in situ were 100 and 79.5 per cent, respectively. In patients with type Vb and Vc lesions, the sensitivity and specificity of narrow band imaging in detecting invasive carcinoma were 83.8 and 100 per cent, respectively.Conclusion:Narrow band imaging is a promising approach enabling in vivo differentiation of nonmalignant from malignant laryngeal lesions by evaluating the morphology of mucosal capillaries. These results suggest endoscopic narrow band imaging may be useful in the early detection of laryngeal cancer and precancerous lesions.

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

The Laryngoscope ◽

10.1002/lary.29960 ◽

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

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Implementation of Narrow Band Imaging in Laryngeal Cancer Diagnosis

Koutou (THE LARYNX JAPAN) ◽

10.5426/larynx.21.57 ◽

2009 ◽

Vol 21 (2) ◽

pp. 57-62

Author(s):

Minoru Toyoda ◽

Nobuhiko Furuya

Keyword(s):

Laryngeal Cancer ◽

Cancer Diagnosis ◽

Narrow Band ◽

Narrow Band Imaging

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The usefulness of the narrow band imaging (NBI) in decision-making process regarding second look procedure (SL) in laryngeal cancer follow-up after transoral laser microsurgery

PLoS ONE ◽

10.1371/journal.pone.0236623 ◽

2020 ◽

Vol 15 (8) ◽

pp. e0236623

Author(s):

Joanna Witkiewicz ◽

Hanna Klimza ◽

Krzysztof Piersiala ◽

Joanna Jackowska ◽

Małgorzata Wierzbicka

Keyword(s):

Decision Making ◽

Laryngeal Cancer ◽

Narrow Band ◽

Narrow Band Imaging ◽

Decision Making Process ◽

Transoral Laser Microsurgery ◽

Laser Microsurgery ◽

Second Look

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S195 – Laryngeal Observation of Early Cancer with NBI System

Otolaryngology ◽

10.1016/j.otohns.2008.05.369 ◽

2008 ◽

Vol 139 (2_suppl) ◽

pp. P252-P141

Author(s):

Masahiko Higashikawa

Keyword(s):

Laryngeal Cancer ◽

Narrow Band ◽

Early Cancer ◽

Narrow Band Imaging ◽

Ktp Laser ◽

Glottic Carcinoma ◽

Mucosal Edema ◽

Illumination Method ◽

False Vocal ◽

Post Therapy

Objectives The Narrow Band Imaging (NBI) is an illumination method for medical endoscopes that can visualize the micro-vascular structure of the organ surface. The effectiveness of NBI has been reported in detecting the oropharyngeal and hypopharyngeal neoplasm lesion. The aim of this study is to identify the usefulness of NBI in laryngeal lesion, especially in observing cases of post-operated or post-irradiated early laryngeal cancers. Methods 16 patients of early laryngeal cancer after treatment for at least 6 months were entered in this study: 1 case of T1s, 8 cases of T1a, 3 cases of T1b, and 4 cases of T2. 3 cases of T1a underwent cordectomy under direct laryngoscope using KTP laser. 13 cases were treated with irradiation. Results The cases for which NBI was suggested to be useful were: T1b, undergoing laser surgery, supra-glottic carcinoma, appearing hyper-adduction of the false vocal fold during phonating, and causing severe mucosal edema after irradiation. Conclusions NBI system may play an important role in the observation of post-therapy of early laryngeal cancer.

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Narrow band imaging as screening test for early detection of laryngeal cancer: a prospective study

Clinical Otolaryngology ◽

10.1111/coa.12728 ◽

2016 ◽

Vol 42 (2) ◽

pp. 347-353 ◽

Cited By ~ 13

Author(s):

A. De Vito ◽

G. Meccariello ◽

C. Vicini

Keyword(s):

Early Detection ◽

Prospective Study ◽

Laryngeal Cancer ◽

Screening Test ◽

Narrow Band ◽

Narrow Band Imaging ◽

A Prospective Study

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THE VALUE OF NARROW BAND IMAGING ENDOSCOPY IN DIAGNOSIS OF HYPOPHARYNGEAL AND LARYNGEAL CANCER AND FOLLOWING - UP POST TREATMENT

Journal of Medicine and Pharmacy ◽

10.34071/jmp.2018.6.15 ◽

2018 ◽

Vol 8 (6) ◽

pp. 114-122

Author(s):

Thong Le Chi ◽

Thanh Dang ◽

Nam Tran Phuong

Keyword(s):

Laryngeal Cancer ◽

Narrow Band ◽

Narrow Band Imaging ◽

Hypopharyngeal Cancer ◽

Post Treatment ◽

Predominant Type ◽

Mucosal Edema ◽

Contrast Medium Injection ◽

The Mean ◽

Type V

Background: To evaluate the value of narrow band imaging (NBI) endosocopy in diagnosis of hypopharyngeal and laryngeal cancer and following – up post treatment. Material and methods: A total of 75 patients included 36 patients with hypopharyngeal cancer and 39 patients with laryngeal cancer who had diagnosed at Department of Otoloryngology – Hue Central Hospital from 5/2017 to 5/2018. A prospective cohort study was conducted. Results: The age group 51 - 60 years occurred most often, 33.3%, the mean age was 62.1 ± 13.4. The UICC stage III was 65.3%. Tumor was in ulcerlarative and infiltrate form (89.4%), edema and inflammation of magrin tumor (41.3%), invasive (58.7%). Intrapapillary capillary loops – IPCL - type V was predominant, type V-n was 46.7%. The tumor with IPCL type V-n had strong enhancement (51.3%) and moderate enhancement (44.4%) after contrast medium injection on CT scan. One month after treatment, there were 33.3% of tumor – free, 53.7% of mucosal edema and 13% tumor size-decreasing on NBI image. Conclusion: NBI endoscopy is an useful tool for diagnosing of hypopharyngeal and laryngeal cancer and following – up post treatment. Key words: narrow band imaging endoscopy, hypopharyngeal cancer, laryngeal cancer

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Cyclist Effort Features: A Novel Technique for Image Texture Characterization Applied to Larynx Cancer Classification in Contact Endoscopy—Narrow Band Imaging

Diagnostics ◽

10.3390/diagnostics11030432 ◽

2021 ◽

Vol 11 (3) ◽

pp. 432

Author(s):

Nazila Esmaeili ◽

Axel Boese ◽

Nikolaos Davaris ◽

Christoph Arens ◽

Nassir Navab ◽

...

Keyword(s):

Feature Extraction ◽

Image Classification ◽

Laryngeal Cancer ◽

Classification Accuracy ◽

Narrow Band ◽

Narrow Band Imaging ◽

Image Texture ◽

Finish Line ◽

Cad System ◽

Textural Characterization

Background: Feature extraction is an essential part of a Computer-Aided Diagnosis (CAD) system. It is usually preceded by a pre-processing step and followed by image classification. Usually, a large number of features is needed to end up with the desired classification results. In this work, we propose a novel approach for texture feature extraction. This method was tested on larynx Contact Endoscopy (CE)—Narrow Band Imaging (NBI) image classification to provide more objective information for otolaryngologists regarding the stage of the laryngeal cancer. Methods: The main idea of the proposed methods is to represent an image as a hilly surface, where different paths can be identified between a starting and an ending point. Each of these paths can be thought of as a Tour de France stage profile where a cyclist needs to perform a specific effort to arrive at the finish line. Several paths can be generated in an image where different cyclists produce an average cyclist effort representing important textural characteristics of the image. Energy and power as two Cyclist Effort Features (CyEfF) were extracted using this concept. The performance of the proposed features was evaluated for the classification of 2701 CE-NBI images into benign and malignant lesions using four supervised classifiers and subsequently compared with the performance of 24 Geometrical Features (GF) and 13 Entropy Features (EF). Results: The CyEfF features showed maximum classification accuracy of 0.882 and improved the GF classification accuracy by 3 to 12 percent. Moreover, CyEfF features were ranked as the top 10 features along with some features from GF set in two feature ranking methods. Conclusion: The results prove that CyEfF with only two features can describe the textural characterization of CE-NBI images and can be part of the CAD system in combination with GF for laryngeal cancer diagnosis.

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