Diagnostic Accuracy of JES Classification for Prediction of Invasion Depth in Superficial Esophageal Squamous Carcinoma : Meta-Analysis

Prediction of the depth of invasion in superficial oesophageal squamous carcinoma (SESC) is an important factor for choosing the treatment. Recently, the Japan Esophageal Society (JES) designed a magnifying endoscopy classification based on the Inoue and Arima classifications. The aim of this study was to conduct a meta-analysis of the published literature on JES classification. Meta-Disc version 1.4, Review Manager 5.4 as well as stata 14.0 were used. The analysis combined sensitivity and specificity with the respective 95% CI, to draw a summary receiver operating characteristic curve (SROC), and estimated the area under curve (AUC) for overdiagnosis and underdiagnosis for each type B. Eight studies were included in the meta-analysis comprising 1279 patients. Type B1 has high sensitivity (0.86, 95%CI: 0.83-0.88) and specificity (0.84, 95%CI: 0.81-0.88) for the prediction of EP/LPM classifications. The AUC was calculated to be 0.92 with a high proportion of underdiagnosis (17%). The sensitivity and specificity of type B2 were 0.66 (95% CI, 0.6-0.72) and 0.84 (95% CI, 0.82-0.86) respectively. The overdiagnosis and underdiagnosis of type B2 were 14% and 39%. Type B3, sensitivity was low (0.49, 95% CI: 0.41-0.56), with high specificity and AUC (specificity: 0.99; AUC: 0.95). JES classification is a useful and reliable modality for predicting the depth of invasion of SESC, but other modalities should be considered for additional assessment when type B2 is detected. Key Words: JES classification, Superficial oesophageal squamous carcinoma, Depth of invasion, Magnifying endoscopy, Meta-analysis.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:34

Enthalten in:

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP - 34(2024), 3 vom: 29. März, Seite 336-342

Sprache:

Englisch

Beteiligte Personen:

Fu, Dou [VerfasserIn]
Zhao, Hui [VerfasserIn]
Lan, Wenquan [VerfasserIn]
Li, Yuanfa [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Meta-Analysis

Anmerkungen:

Date Completed 12.03.2024

Date Revised 12.03.2024

published: Print

Citation Status MEDLINE

doi:

10.29271/jcpsp.2024.03.336

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM369525965