Efficacy of confocal laser endomicroscopy for discriminating colorectal neoplasms from non‐neoplasms: a systematic review and meta‐analysis

Su, Peng; Liu, Y.; Lin, Shengyou; Xiao, Kun; Chen, P.; An, Shengli; He, Jiaxue; Bai, Yang

doi:10.1111/codi.12033

Cited by 52 publications

(32 citation statements)

References 44 publications

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“…We used a post-procedure analysis rather than real-time evaluation, and the endoscopists were blinded to other information such as age of patients and results of white-light endoscopy, so the results do not reflect the reality of clinical practice. Accuracy of real-time assessment may be higher[20]–[21]or lower[22]–[23] than with post-procedure assessment. Low-quality images are usually obtained in clinical practice, but in our study, all images were selected by an experienced CLE endoscopist and had relative high quality, which may improve the diagnosis accuracy and cannot reflect the condition in clinical use.…”

Section: Discussionmentioning

confidence: 99%

Learning Curve and Interobserver Agreement of Confocal Laser Endomicroscopy for Detecting Precancerous or Early-Stage Esophageal Squamous Cancer

Liu

et al. 2014

PLoS ONE

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BackgroundConfocal laser endomicroscopy (CLE) can provide in vivo subcellular resolution images of esophageal lesions. However, the learning curve in interpreting CLE images of precancerous or early-stage esophageal squamous cancer is unknown. The goal of this study is to evaluate the diagnostic accuracy and inter-observer agreement for differentiating esophageal lesions in CLE images among experienced and inexperienced observers and to assess the learning curve.MethodAfter a short training, 8 experienced and 14 inexperienced endoscopists evaluated in sequence 4 sets of high-quality CLE images. Their diagnoses were corrected and discussed after each set. For each image, the diagnostic results, confidence in diagnosis, quality and time to evaluate were recorded.ResultsOverall, diagnostic accuracy was greater for the second, third, fourth set of images as compared with the initial set (odds ratio [OR] 2.01, 95% CI 1.22–3.31; 7.95, 3.74–16.87; and 6.45, 3.14–13.27), respectively, with no difference between the third and fourth sets in accuracy (p = 0.67). Previous experience affected the diagnostic accuracy only in the first set of images (OR 3.70, 1.87–7.29, p<0.001). Inter-observer agreement was higher for experienced than inexperienced endoscopists (0.732 vs. 0.666, p<0.01)ConclusionCLE is a promising technology that can be quickly learned after a short training period; previous experience is associated with diagnostic accuracy only at the initial stage of learning.

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Section: Discussionmentioning

confidence: 99%

Learning Curve and Interobserver Agreement of Confocal Laser Endomicroscopy for Detecting Precancerous or Early-Stage Esophageal Squamous Cancer

Liu

et al. 2014

PLoS ONE

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“…Endomicroscopy is also used for the assessment of indeterminate biliary strictures [30,31], and distal segments of the lung through to alveoli [32]. It is comparable to colonoscopic histopathology in diagnosing colorectal cancer, and is better in conjunction with conventional endoscopy [33].…”

Section: B Endomicroscopy In Mismentioning

confidence: 99%

Endomicroscopy for Computer and Robot Assisted Intervention

Zuo

Yang

2017

IEEE Rev. Biomed. Eng.

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Abstract-Endomicroscopy is a new technique that allows human tissue to be characterized in vivo, and in situ, circumventing the need for conventional biopsy and histology. Despite increased application and growing research interests in this area, the clinical application of endomicroscopy, however, is limited by difficulties in ergonomic control, consistent probe-tissue contact, large area surveillance and retargeting. Recently, advances in high-speed imaging, mosaicing and robotics have aimed to address these difficulties. The development of robot-assisted devices in particular has shown great promises in extending the clinical potential of endomicroscopy. Issues related to miniaturization, adaptation to tissue deformation, control stability, force and position compensation, cost and sterility are being pursued by both research and commercial communities. In this paper, recent clinical and technical developments in different aspects of computer and robotic assisted endomicroscopy interventions including instrumentation, multiscale integration, and high-speed imaging techniques are presented. We further address emerging trends and new research opportunities towards more widespread clinical acceptance of robotically assisted endomicroscopy technologies.

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“…ОБЗОРЫ клеток не окрашиваются флуоресцеином и на кон-фокальных изображениях визуализируются в виде темных пятен Показания к применению конфокальной эн-домикроскопии довольно обширны и включают все существующие в настоящий момент показания к выполнению биопсии. В целом можно признать, что даже первые результаты их применения, пред-ставленные в зарубежной литературе, впечатляют: чувствительность данного метода составила 87,9% (доверительный интервал 85,4-97,6), специфич-ность -95,9% (86,2-98,9), прогностическая цен-ность положительного результата -90,9% (89-99), прогностическая ценность отрицательного резуль-тата в реальном времени -92,2% (81-97) [23].…”

Section: рис 11 микроскопическая картинаunclassified

Current methods of endoscopic diagnosis of colon tumors

Соловьев¹,

Mokshina²,

Sazonov³

et al. 2015

Endosk. khir.

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Efficacy of confocal laser endomicroscopy for discriminating colorectal neoplasms from non‐neoplasms: a systematic review and meta‐analysis

Abstract: CLE is comparable to colonoscopic histopathology in diagnosing colorectal neoplasms, and is better in conjunction with conventional endoscopy. An endoscopy-based rather than a probe-based modality would be optimal in the application of CLE.

Cited by 52 publications

References 44 publications

Learning Curve and Interobserver Agreement of Confocal Laser Endomicroscopy for Detecting Precancerous or Early-Stage Esophageal Squamous Cancer

Learning Curve and Interobserver Agreement of Confocal Laser Endomicroscopy for Detecting Precancerous or Early-Stage Esophageal Squamous Cancer

Endomicroscopy for Computer and Robot Assisted Intervention

Current methods of endoscopic diagnosis of colon tumors

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