The Use of Confocal Laser Endomicroscopy in Diagnosing Barrett’s Esophagus and Esophageal Adenocarcinoma

Vaculová, Jitka; Kroupa, Radek; Kala, Zdeněk; Dolina, Jiří; Grolich, Tomáš; Vlažný, Jakub; Said, David; Hollá, Lýdie Izakovičová; Linhartová, Petra Bořilová; Procházka, Vladimír; Joukal, Marek; Jabandžiev, Petr; Slabý, Ondřej; Kunovský, Lumír

doi:10.3390/diagnostics12071616

Cited by 3 publications

(1 citation statement)

References 64 publications

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“…pCLE is a blend of confocal laser microscopy and traditional electronic endoscopy. Its probe can reach any organ or deep tissue with minimal invasion and carry out tomographic imaging of tissue at a specific depth, providing real-time and dynamic imaging of tissue microstructure, cellular, and molecular events in vivo ( 30 ). It has been utilized for high-resolution imaging of tissues, tracking molecules and microvasculature, and monitoring the metastasis of cancer cells ( 31 - 34 ).…”

Section: Discussionmentioning

confidence: 99%

In vivo evaluation of liver function by multimodal imaging in an alcohol-induced liver injury model

Song,

Wang,

Jia

et al. 2023

Quant Imaging Med Surg

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Background Visually evaluating liver function is a hot topic in hepatology research. There are few reliable and practical visualization methods for evaluating the liver function in vivo in experimental studies. In this study, we established a multimodal imaging approach for in vivo liver function evaluation and compared healthy mice with chronic alcoholic liver injury (cALI) model mice to explore its potential applicability in experimental research. Methods In vivo fluorescence imaging (IVFI) technology was utilized to visually represent the clearance of indocyanine green from the liver of both healthy mice and mice with cALI. The reserve liver function was evaluated via IVFI using the Cy5.5-galactosylated polylysine probe, which targets the asialoglycoprotein receptor of hepatocytes. Hepatic microcirculation was assessed through laser speckle perfusion imaging of hepatic blood perfusion. The liver microstructure was then investigated by in vivo confocal laser endomicroscopy imaging. Finally, hepatic asialoglycoprotein receptor expression, histology, and the levels of serum alanine aminotransferase and aspartate aminotransferase were measured. Results In vivo multimodal imaging results intuitively and dynamically showed that indocyanine green clearance [mean ± standard deviation (SD): 30.83±14.71, 95% confidence interval (CI): 20.3 to 41.35], the fluorescence signal intensity (mean ± SD: 1,217.92±117.63; 95% CI: 1,148.38 to 1,290.84) and fluorescence aggregation area (mean ± SD: 5,855.80±1,271.81; 95% CI: 5,051.57 to 6,653.88) of Cy5.5-galactosylated polylysine targeting the asialoglycoprotein receptor, and hepatic blood perfusion (mean ± SD: 1,494.86±299.33; 95% CI: 1,316.98 to 1,690.16) in model mice were significantly lower than those in healthy mice (all P<0.001). Compared to healthy mice, the model mice exhibited a significant decline in liver asialoglycoprotein receptor expression (mean ± SD: 219.03±16.34; 95% CI: 208.97 to 230.69; P<0.001), increased serum alanine aminotransferase (mean ± SD: 149.70±47.89 U/L; 95% CI: 81.75 to 128.89; P=0.01) and aspartate aminotransferase levels (mean ± SD: 106.30±36.13 U/L; 95% CI: 122.01 to 180.17; P=0.021), hepatocyte swelling and deformation, disappearance of the hepatic cord structure, partial necrosis, and disintegration of hepatocytes. The imaging features of fluorescence signals in liver regions, hepatic blood perfusion and microstructure were biologically related to hepatic asialoglycoprotein receptor expression, serum indices of liver function, and histopathology in model mice. Conclusions Utilizing in vivo multimodal imaging technology to assess liver function is a viable approach for experimental research, providing dynamic and intuitive visual evaluations in a rapid manner.

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Section: Discussionmentioning

confidence: 99%

In vivo evaluation of liver function by multimodal imaging in an alcohol-induced liver injury model

Song,

Wang,

Jia

et al. 2023

Quant Imaging Med Surg

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The application of the combination between artificial intelligence and endoscopy in gastrointestinal tumors

Li,

Xu,

Meng

et al. 2024

MedComm – Oncology

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Gastrointestinal (GI) tumors have always been a major type of malignant tumor and a leading cause of tumor‐related deaths worldwide. The main principles of modern medicine for GI tumors are early prevention, early diagnosis, and early treatment, with early diagnosis being the most effective measure. Endoscopy, due to its ability to visualize lesions, has been one of the primary modalities for screening, diagnosing, and treating GI tumors. However, a qualified endoscopist often requires long training and extensive experience, which to some extent limits the wider use of endoscopy. With advances in data science, artificial intelligence (AI) has brought a new development direction for the endoscopy of GI tumors. AI can quickly process large quantities of data and images and improve diagnostic accuracy with some training, greatly reducing the workload of endoscopists and assisting them in early diagnosis. Therefore, this review focuses on the combined application of endoscopy and AI in GI tumors in recent years, describing the latest research progress on the main types of tumors and their performance in clinical trials, the application of multimodal AI in endoscopy, the development of endoscopy, and the potential applications of AI within it, with the aim of providing a reference for subsequent research.

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Robotic Microsurgery

Ergun,

Gudeloglu,

Parekattil

2023

Robotic Surgery Devices in Surgical Specialties

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The Use of Confocal Laser Endomicroscopy in Diagnosing Barrett’s Esophagus and Esophageal Adenocarcinoma

Cited by 3 publications

References 64 publications

In vivo evaluation of liver function by multimodal imaging in an alcohol-induced liver injury model

In vivo evaluation of liver function by multimodal imaging in an alcohol-induced liver injury model

The application of the combination between artificial intelligence and endoscopy in gastrointestinal tumors

Robotic Microsurgery

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