Spectral Artificial Vision Endoscopy for Assisting the Differential Diagnosis of Endometrial Polyps, In Vivo

We are the first to present results from a pilot clinical study designed for the purpose of establishing spectral mapping patterns, as a potential novel imaging assay for identifying and discriminating between functional and nonfunctional endometrial polyps in vivo. The Spectral Artificial Vision Endoscope (SAVE) was used and validated in this study. The SAVE system, adapted to a regular hysteroscope, was able to operate in several imaging modes, including color imaging, infrared imaging, narrow band imaging and spectral mapping, all acquired at a video rate and simultaneously. The spectral maps generated by the SAVE system for 28 patients with endometrial polyps displayed characteristic patterns capable of discriminating functional from nonfunctional polyps with remarkable consistency (Spearman R=0.912, p<10-6). These preliminary clinical validation results highlighted the great potential of the in vivo spectral mapping imaging modality as an adjunct tool to conventional color camera-based hysteroscopy, offering improved and quantitative diagnosis.

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Accuracy of In-Vivo Optical Diagnosis of Colon Polyp Histology by Narrow Band Imaging (NBI) in Predicting Colonoscopy (CC) Surveillance Intervals (SI)

Gastroenterology ◽

10.1016/s0016-5085(11)60484-8 ◽

2011 ◽

Vol 140 (5) ◽

pp. S-119

Author(s):

Neil Gupta ◽

Deepthi S. Rao ◽

Dayna S. Early ◽

Steven A. Edmundowicz ◽

Sreenivasa S. Jonnalagadda ◽

...

Keyword(s):

Narrow Band ◽

Narrow Band Imaging ◽

Colon Polyp ◽

Optical Diagnosis

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Narrow-Band Imaging Colonoscopy to Assess Mucosal Angiogenesis in Ulcerative Colitis

Gastroenterology Research and Practice ◽

10.1155/2019/8312624 ◽

2019 ◽

Vol 2019 ◽

pp. 1-7 ◽

Cited By ~ 2

Author(s):

Tao Guo ◽

Jia-Ming Qian ◽

Ai-Ming Yang ◽

Yue Li ◽

Wei-Xun Zhou

Keyword(s):

Ulcerative Colitis ◽

Immunohistochemical Staining ◽

Narrow Band ◽

Narrow Band Imaging ◽

Strong Association ◽

Microvascular Density ◽

Vascular Endothelial ◽

Vascular Pattern ◽

Endothelial Growth Factor

Background and Aim. It has been documented that angiogenesis is a largely unstudied component of the pathogenesis of ulcerative colitis (UC). Under narrow-band imaging (NBI) colonoscopy, the mucosal vascular pattern (MVP) can be visualized without the use of dyes. The aim of this study was to assess the grade of mucosal angiogenesis based on the MVP in UC. Methods. A total of 119 colorectal segments taken from 42 patients with UC were observed using NBI colonoscopy. The MVP was classified as follows: clear, obscure, or absent. Quantification of the degree of inflammation was performed using histological colitis scoring. Potent angiogenic activity was assessed by immunohistochemical staining for vascular endothelial growth factor (VEGF). Microvascular density was assessed using vessel counts as revealed by CD31 staining. The correlation between the MVP and histological grades of inflammation and angiogenesis was evaluated. Results. The MVP correlated well with the histological severity of inflammation. We also demonstrated an increasing level of microvascular density and VEGF staining along with the ordered types of MVPs. In addition, a statistically strong association existed between microvascular density and VEGF staining. Conclusions. NBI colonoscopy might be a useful tool for the in vivo assessment of the grade of mucosal angiogenesis in UC.

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Narrow Band Imaging with Magnification Endoscopy for Celiac Disease: Results from a Prospective, Single-Center Study

Diagnostic and Therapeutic Endoscopy ◽

10.1155/2013/580526 ◽

2013 ◽

Vol 2013 ◽

pp. 1-6 ◽

Cited By ~ 14

Author(s):

L. De Luca ◽

L. Ricciardiello ◽

M. B. L. Rocchi ◽

M. T. Fabi ◽

M. L. Bianchi ◽

...

Keyword(s):

Celiac Disease ◽

Narrow Band ◽

Narrow Band Imaging ◽

Villous Atrophy ◽

Upper Gastrointestinal Endoscopy ◽

Kappa Score ◽

Biopsy Specimens ◽

Surface Patterns ◽

Sensitivity Specificity

In celiac disease (CD), the intestinal lesions can be patchy and partial villous atrophy may elude detection at standard endoscopy (SE). Narrow Band Imaging (NBI) system in combination with a magnifying endoscope (ME) is a simple tool able to obtain targeted biopsy specimens. The aim of the study was to assess the correlation between NBI-ME and histology in CD diagnosis and to compare diagnostic accuracy between NBI-ME and SE in detecting villous abnormalities in CD. Forty-four consecutive patients with suspected CD undergoing upper gastrointestinal endoscopy have been prospectively evaluated. Utilizing both SE and NBI-ME, observed surface patterns were compared with histological results obtained from biopsy specimens using the k-Cohen agreement coefficient. NBI-ME identified partial villous atrophy in 12 patients in whom SE was normal, with sensitivity, specificity, and accuracy of 100%, 92.6%, and 95%, respectively. The overall agreement between NBI-ME and histology was significantly higher when compared with SE and histology (kappa score: 0.90 versus 0.46; P=0.001) in diagnosing CD. NBI-ME could help identify partial mucosal atrophy in the routine endoscopic practice, potentially reducing the need for blind biopsies. NBI-ME was superior to SE and can reliably predict in vivo the villous changes of CD.

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Endoscopic diagnosis of laryngeal cancer and precancerous lesions by narrow band imaging

The Journal of Laryngology & Otology ◽

10.1017/s0022215110002033 ◽

2010 ◽

Vol 125 (3) ◽

pp. 288-296 ◽

Cited By ~ 106

Author(s):

X-G Ni ◽

S He ◽

Z-G Xu ◽

L Gao ◽

N Lu ◽

...

Keyword(s):

Sensitivity And Specificity ◽

Laryngeal Cancer ◽

Narrow Band ◽

Narrow Band Imaging ◽

Precancerous Lesions ◽

Type I ◽

Severe Dysplasia ◽

Laryngeal Lesions ◽

Type V

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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Comparison of In Vivo Raman Spectroscopy With White Light Endoscopy, Narrow Band Imaging, and Confocal Endomicroscopy for the Real-time Diagnosis of Barrettʼs Esophagus

The American Journal of Gastroenterology ◽

10.14309/00000434-201510001-01509 ◽

2015 ◽

Vol 110 ◽

pp. S652-S653

Author(s):

Neel Sharma ◽

Lin Kan ◽

Wang Jianfeng ◽

Bryan Choo ◽

Jin Rong Khoo ◽

...

Keyword(s):

Raman Spectroscopy ◽

Real Time ◽

White Light ◽

Narrow Band ◽

Narrow Band Imaging ◽

The Real ◽

White Light Endoscopy ◽

In Vivo Raman Spectroscopy ◽

Time Diagnosis

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In Vivo Prediction of Polyp Histology Using High Definition/Magnification and Narrow Band Imaging (NBI)

The American Journal of Gastroenterology ◽

10.14309/00000434-200709002-00409 ◽

2007 ◽

Vol 102 ◽

pp. S264-S265

Author(s):

Anu K. Mathew ◽

Francisco C. Ramirez ◽

Nooman Gilani

Keyword(s):

Narrow Band ◽

Narrow Band Imaging ◽

High Definition

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Sa1628 In-Vivo Optical Diagnosis of Colon Polyp Histology Using Narrow Band Imaging (NBI) With or Without a Transparent Plastic CAP: Post-Hoc Analysis of Three Randomized Controlled Trials

Gastrointestinal Endoscopy ◽

10.1016/j.gie.2012.04.417 ◽

2012 ◽

Vol 75 (4) ◽

pp. AB226-AB227

Author(s):

Neil Gupta ◽

Ajay Bansal ◽

Prateek Sharma ◽

Amit Rastogi

Keyword(s):

Randomized Controlled Trials ◽

Narrow Band ◽

Narrow Band Imaging ◽

Colon Polyp ◽

Controlled Trials ◽

Transparent Plastic ◽

Post Hoc Analysis ◽

Randomized Controlled ◽

Post Hoc

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Deep learning for in vivo near-infrared imaging

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.2021446118 ◽

2020 ◽

Vol 118 (1) ◽

pp. e2021446118

Author(s):

Zhuoran Ma ◽

Feifei Wang ◽

Weizhi Wang ◽

Yeteng Zhong ◽

Hongjie Dai

Keyword(s):

Deep Learning ◽

Light Scattering ◽

Near Infrared ◽

Infrared Imaging ◽

Imaging Modality ◽

Molecular Probes ◽

Clinical Diagnostics ◽

Light Sheet Microscopy ◽

Lymph Node Imaging

Detecting fluorescence in the second near-infrared window (NIR-II) up to ∼1,700 nm has emerged as a novel in vivo imaging modality with high spatial and temporal resolution through millimeter tissue depths. Imaging in the NIR-IIb window (1,500–1,700 nm) is the most effective one-photon approach to suppressing light scattering and maximizing imaging penetration depth, but relies on nanoparticle probes such as PbS/CdS containing toxic elements. On the other hand, imaging the NIR-I (700–1,000 nm) or NIR-IIa window (1,000–1,300 nm) can be done using biocompatible small-molecule fluorescent probes including US Food and Drug Administration-approved dyes such as indocyanine green (ICG), but has a caveat of suboptimal imaging quality due to light scattering. It is highly desired to achieve the performance of NIR-IIb imaging using molecular probes approved for human use. Here, we trained artificial neural networks to transform a fluorescence image in the shorter-wavelength NIR window of 900–1,300 nm (NIR-I/IIa) to an image resembling an NIR-IIb image. With deep-learning translation, in vivo lymph node imaging with ICG achieved an unprecedented signal-to-background ratio of >100. Using preclinical fluorophores such as IRDye-800, translation of ∼900-nm NIR molecular imaging of PD-L1 or EGFR greatly enhanced tumor-to-normal tissue ratio up to ∼20 from ∼5 and improved tumor margin localization. Further, deep learning greatly improved in vivo noninvasive NIR-II light-sheet microscopy (LSM) in resolution and signal/background. NIR imaging equipped with deep learning could facilitate basic biomedical research and empower clinical diagnostics and imaging-guided surgery in the clinic.

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