Dataset Information

Dynamic diagnosis of early gastric cancer with microvascular blood flow rate using magnifying endoscopy (with video): A pilot study.

ABSTRACT:

Background and aim

Magnifying endoscopy (ME) diagnostic algorithm for early gastric cancer (EGC) relies on qualitative features such as microvascular (MV) architecture and microsurface structure; however, it is a "static" diagnostic algorithm that uses still images. ME can visualize red blood cell flow within subepithelial microvessels in real time. Here, we evaluated the utility of using the MV blood flow rate in combination with ME for the diagnosis of EGC as a retrospective study.

Methods

Patients with differentiated-type EGC (n = 10) or patchy redness (n = 10) underwent ME with blue laser imaging. The mean MV blood flow rates of EGC, patchy redness, and background mucosa were calculated by the mean movement distance of one tagging red blood cell using split images of ME with blue laser imaging videos. We compared the mean MV blood flow rate between EGC, patchy redness, and background mucosa and also calculated the MV blood flow imaging ratio (inside lesion/background mucosa) between EGC and patchy redness.

Results

Mean MV blood flow rate was significantly lower in EGC (1481 μm/s; range 1057-1762) than in patchy redness (3859 μm/s; 2435-5899) or background mucosa (4140.6 μm/s; 2820-6247) (P < 0.01). The MV blood flow imaging ratio was significantly lower in EGC (0.39; 0.27-0.62) than in patchy redness (0.90; 0.78-1.1) (P < 0.01).

Conclusions

Dynamic diagnosis with MV blood flow rate using ME may be useful for the differential diagnosis of EGC and patchy redness. Endoscopic assessment of dynamic processes within the gastric mucosa may facilitate the diagnosis of EGC.

SUBMITTER: Ueyama H

PROVIDER: S-EPMC8359341 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundDiagnosis of Helicobacter pylori (H. pylori) infection using magnifying endoscopy offers advantages over conventional invasive and noninvasive tests.ObjectiveThis meta-analysis aimed to assess the diagnostic performance of magnifying endoscopy in the prediction of H. pylori infection.MethodsA literature search of the PubMed, Medline, EMBASE, Science Direct and the Cochrane Library databases was performed. A random-effects model was used to calculate the diagnostic efficiency of magnifying endoscopy for H. pylori infection. A summary receiver operator characteristic curve was plotted, and the area under the curve (AUC) was calculated.ResultsA total of 18 studies involving 1897 patients were included. The pooled sensitivity and specificity of magnifying endoscopy to predict H. pylori infection were 0.89 [95% confidence interval (CI) 0.87-0.91] and 0.82 (95%CI 0.79-0.85), respectively, with an AUC of 0.9461. When targeting the gastric antrum, the pooled sensitivity and specificity were 0.82 (95%CI 0.78-0.86) and 0.72 (95%CI 0.66-0.78), respectively. When targeting the gastric corpus, the pooled sensitivity and specificity were 0.92 (95%CI 0.90-0.94) and 0.86 (95%CI 0.82-0.88), respectively. The pooled sensitivity and specificity using magnifying white light endoscopy were 0.90 (95%CI 0.87-0.91) and 0.81 (95%CI 0.77-0.84), respectively. The pooled sensitivity and specificity using magnifying chromoendoscopy were 0.87 (95%CI 0.83-0.91) and 0.85 (95%CI 0.80-0.88), respectively. The "pit plus vascular pattern" classification in the gastric corpus observed by magnifying endoscopy was able to accurately predict the status of H. pylori infection, as indicated by a pooled sensitivity and specificity of 0.96 (95%CI 0.94-0.97) and 0.91 (95%CI 0.87-0.93), respectively, with an AUC of 0.9872.ConclusionsMagnifying endoscopy was able to accurately predict the status of H. pylori infection, either in magnifying white light endoscopy or magnifying chromoendoscopy mode. The "pit plus vascular pattern" classification in the gastric corpus is an optimum diagnostic criterion.