Utility of magnifying endoscopy with narrow band imaging in determining the invasion depth of superficial pharyngeal cancer

Kikuchi, Daisuke; Iizuka, Toshiro; Yamada, Akihiro; Furuhata, Tsukasa; Yamashita, Satoshi; Nomura, Kosuke; Kuribayashi, Yasutaka; Kimura, Ryuusuke; Matsui, Akira; Mitani, Toshifumi; Ogawa, Osamu; Takeda, Hiroyuki; Hoteya, Shu; Kaise, Mitsuru

doi:10.1002/hed.23683

Cited by 29 publications

(26 citation statements)

References 19 publications

(48 reference statements)

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“…This issue is still under debate; a pathological study by Fujii et al suggested that there is a positive correlation between tumor microvascular morphology and the depth of tumor invasion in HNSCC. The study results of Kikuchi et al support this finding. Because ELPS is conducted in collaboration with esophageal surgeons at our institute, tumor microvessel morphological evaluation based on the JES classification is already applied in our routine practice with excellent local control and low complication rates.…”

Section: Discussionmentioning

confidence: 57%

“…In esophageal cancer, prediction of the depth of tumor invasion and indication of ESD are determined using magnifying endoscopy with narrowband imaging (ME‐NBI). The esophagus and pharynx are both composed of squamous epithelium; ME‐NBI is therefore considered effective for head and neck squamous cell carcinoma (HNSCC) . Prediction of the depth of tumor invasion using ME‐NBI is based on microvessel morphology, which is well studied in esophageal cancer .…”

Section: Introductionmentioning

confidence: 99%

“…Prediction of the depth of tumor invasion using ME‐NBI is based on microvessel morphology, which is well studied in esophageal cancer . However, with regard to HNSCC, studies focusing on the evaluation of microvessel morphology are limited . Early stage HNSCC may be treated with radiation therapy (RT); it has become a routine practice for head and neck surgeons to treat recurrent lesions after previous therapy.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of the depth of invasion in superficial pharyngeal cancer: Microvessel morphological evaluation with narrowband imaging

et al. 2019

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Background Magnifying endoscopy with narrowband imaging (ME‐NBI) is useful in predicting the invasion depth by examining the microvascular status of tumor surfaces. This retrospective study aimed to determine its efficacy in pharyngeal cancer. Methods Between April 2016 and March 2018, 59 lesions from 46 patients who underwent transoral resection were retrospectively analyzed. Using ME‐NBI, microvascular status was classified into B1, B2, or B3, based on the classification of the Japan Esophageal Society. Results A significant correlation was observed between microvascular status and invasion depth (P = .011). Mean thickness of lesions with B1, B2, and B3 vessels were 563, 1364, and 2825 μm, respectively (P = .006). In previously treated lesions, a significant correlation was observed between microvascular status and invasion depth (P = .012). Conclusions ME‐NBI is useful in predicting the invasion depth and thickness of pharyngeal tumors, even in patients with previously treated lesions.

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Section: Discussionmentioning

confidence: 57%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Prediction of the depth of invasion in superficial pharyngeal cancer: Microvessel morphological evaluation with narrowband imaging

et al. 2019

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“…[3][4][5] In this video article, we describe the endoscopic diagnosis and treatment of superficial pharyngeal cancer. Such cancers have been treated by invasive surgery and chemoradiotherapy.…”

Section: Brief Explanationmentioning

confidence: 99%

Endoscopic diagnosis and treatment of superficial pharyngeal cancer

Katada

Okamoto

Kano

2017

Digestive Endoscopy

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“…Recent developments in narrowband imaging with magnified endoscopy (NBI-ME) and medical image processing technologies allow clear visualization of the esophageal microvascular structure, facilitating cancer detection in the early stage [24, 25]. …”

Section: Related Workmentioning

confidence: 99%

CNN-SVM for Microvascular Morphological Type Recognition with Data Augmentation

et al. 2016

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This paper focuses on the problem of feature extraction and the classification of microvascular morphological types to aid esophageal cancer detection. We present a patch-based system with a hybrid SVM model with data augmentation for intraepithelial papillary capillary loop recognition. A greedy patch-generating algorithm and a specialized CNN named NBI-Net are designed to extract hierarchical features from patches. We investigate a series of data augmentation techniques to progressively improve the prediction invariance of image scaling and rotation. For classifier boosting, SVM is used as an alternative to softmax to enhance generalization ability. The effectiveness of CNN feature representation ability is discussed for a set of widely used CNN models, including AlexNet, VGG-16, and GoogLeNet. Experiments are conducted on the NBI-ME dataset. The recognition rate is up to 92.74% on the patch level with data augmentation and classifier boosting. The results show that the combined CNN-SVM model beats models of traditional features with SVM as well as the original CNN with softmax. The synthesis results indicate that our system is able to assist clinical diagnosis to a certain extent.

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Utility of magnifying endoscopy with narrow band imaging in determining the invasion depth of superficial pharyngeal cancer

Abstract: ME-NBI is useful to determining invasion depth of superficial pharyngeal cancer.

Cited by 29 publications

References 19 publications

Prediction of the depth of invasion in superficial pharyngeal cancer: Microvessel morphological evaluation with narrowband imaging

Prediction of the depth of invasion in superficial pharyngeal cancer: Microvessel morphological evaluation with narrowband imaging

Endoscopic diagnosis and treatment of superficial pharyngeal cancer

CNN-SVM for Microvascular Morphological Type Recognition with Data Augmentation

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