This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
Research Article
Boram Cha
Department of Internal Medicine, Inha University College of Medicine
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background and Aims
The aim of this study was to validate the usefulness of high resolution (HR) endoscopy for predicting chronic gastritis and H. pylori (HP) infection status.
Method
Based on microvascular (MV) patterns, HR endoscopic findings were classified into three types; Class I: present with regular arrangement of collecting venule (RAC) and subepithelial capillary network (SECN), Class II: loss of RAC with uneven SECN, Class III: loss of RAC with loss of SECN. These findings were analyzed to determine how well it is correlated with histologic findings, serological analysis, and rapid urease test.
Result
Diagnostic accuracy compared with biopsy results were described. In the MV pattern, accuracy of class I in antrum and body were 56.3% and 100%, class II in antrum and body were 90% and 94.4%, and class III in antrum and body were 89.5% and 70%. In the PGI / PGII correlation with MV pattern classification, PGI / PGII was significantly higher in class I compared to class II or III (p<0.001). In the endoscopic prediction of HP infection, class I with negative HP infection rate 94.1%, however Class II and III showed positive HP infection in 100% and 90%.
Conclusion
Chronic gastritis classification algorithm through microvascular changes including RAC and SECN showed high accuracy in diagnosing chronic gastritis by HR endoscopy. In addition, the algorithm helps us to distinguish recent HP infections.
Keywords
Helicobacter pylori, Chronic gastritis, High resolution endoscopy, Microvascular pattern
Figure 1
No competing interests reported.
Loading...
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 08 Feb, 2021
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Learn more about our company.
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
Boram Cha
Department of Internal Medicine, Inha University College of Medicine
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 08 Feb, 2021
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background and Aims
The aim of this study was to validate the usefulness of high resolution (HR) endoscopy for predicting chronic gastritis and H. pylori (HP) infection status.
Method
Based on microvascular (MV) patterns, HR endoscopic findings were classified into three types; Class I: present with regular arrangement of collecting venule (RAC) and subepithelial capillary network (SECN), Class II: loss of RAC with uneven SECN, Class III: loss of RAC with loss of SECN. These findings were analyzed to determine how well it is correlated with histologic findings, serological analysis, and rapid urease test.
Result
Diagnostic accuracy compared with biopsy results were described. In the MV pattern, accuracy of class I in antrum and body were 56.3% and 100%, class II in antrum and body were 90% and 94.4%, and class III in antrum and body were 89.5% and 70%. In the PGI / PGII correlation with MV pattern classification, PGI / PGII was significantly higher in class I compared to class II or III (p<0.001). In the endoscopic prediction of HP infection, class I with negative HP infection rate 94.1%, however Class II and III showed positive HP infection in 100% and 90%.
Conclusion
Chronic gastritis classification algorithm through microvascular changes including RAC and SECN showed high accuracy in diagnosing chronic gastritis by HR endoscopy. In addition, the algorithm helps us to distinguish recent HP infections.
Figure 1
No competing interests reported.
Loading...