Considering the esophagogastric junction as a ‘zone’

Ichihara, Shin; Uedo, Noriya; Gotoda, Takuji

doi:10.1111/den.12792

Cited by 22 publications

(20 citation statements)

References 65 publications

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“…Liu et al showed that the enhanced information obtained in the venous phase was more closely related to the invasiveness of GC (34). Therefore, the accurate depiction of the tumor in other phase images may be difficult, which in turn may affect the ROI delineation and ultimately affect the calculation of radiomic features (4). EGJ adenocarcinoma can be evaluated using ultrasound gastroscopy, contrast-enhanced CT, MRI, and PET/ CT.…”

Section: Discussionmentioning

confidence: 99%

Potential Value of Radiomics in the Identification of Stage T3 and T4a Esophagogastric Junction Adenocarcinoma Based on Contrast-Enhanced CT Images

Guo

et al. 2021

Front. Oncol.

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PurposeThis study was designed to evaluate the predictive performance of contrast-enhanced CT-based radiomic features for the personalized, differential diagnosis of esophagogastric junction (EGJ) adenocarcinoma at stages T3 and T4a.MethodsTwo hundred patients with T3 (n = 44) and T4a (n = 156) EGJ adenocarcinoma lesions were enrolled in this study. Traditional computed tomography (CT) features were obtained from contrast-enhanced CT images, and the traditional model was constructed using a multivariate logistic regression analysis. A radiomic model was established based on radiomic features from venous CT images, and the radiomic score (Radscore) of each patient was calculated. A combined nomogram diagnostic model was constructed based on Radscores and traditional features. The diagnostic performances of these three models (traditional model, radiomic model, and nomogram) were assessed with receiver operating characteristics curves. Sensitivity, specificity, accuracy, positive predictive value, negative predictive value, and areas under the curve (AUC) of models were calculated, and the performances of the models were evaluated and compared. Finally, the clinical effectiveness of the three models was evaluated by conducting a decision curve analysis (DCA).ResultsAn eleven-feature combined radiomic signature and two traditional CT features were constructed as the radiomic and traditional feature models, respectively. The Radscore was significantly different between patients with stage T3 and T4a EGJ adenocarcinoma. The combined nomogram performed the best and has potential clinical usefulness.ConclusionsThe developed combined nomogram might be useful in differentiating T3 and T4a stages of EGJ adenocarcinoma and may facilitate the decision-making process for the treatment of T3 and T4a EGJ adenocarcinoma.

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Section: Discussionmentioning

confidence: 99%

Potential Value of Radiomics in the Identification of Stage T3 and T4a Esophagogastric Junction Adenocarcinoma Based on Contrast-Enhanced CT Images

Guo

et al. 2021

Front. Oncol.

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“…Anatomically, the stomach is composed of 3 regions, the cardia, fundus, and pylorus, each of which represents a unique type gland. The cardiac mucosa consists of foveolar, parietal, and chief cells [36]. The gastric gland, including the fundic gland in particular, can be subdivided into 3 parts, the isthmus, neck, and base of the gland.…”

Section: Discussionmentioning

confidence: 99%

Endoscopic and Pathological Characteristics of <b><i>Helicobacter pylori</i></b> Infection-Negative Early Gastric Cancer

Mizutani

Araki

Saigo

et al. 2020

Dig Dis

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Background: The characteristics of Helicobacter pylori (HP) infection-negative gastric cancer (HPINGC) have not been well documented because of the rareness. The aim of this study was to classify HPINGC endoscopically and clinicopathologically. Methods: This retrospective study included 1,741 early gastric cancer lesions and evaluated their HP infection status. Expression levels of MUC5AC, MUC6, MUC2, CD10, p53, MIB-1, pepsinogen-I, H+/K+ ATPase, chromogranin A, E-cadherin, and gastrin were evaluated in tumors by immunohistochemistry (IHC). Results: Among the analyzed lesions, 19 (1.1%) were diagnosed as HPINGC and classified into 6 types: undifferentiated (5 lesions), fundic gland (2 lesions), cardiac gland (1 lesion), pyloric gland (3 lesions), foveolar (5 lesions), and mixed (3 lesions) types. Undifferentiated lesions were of pale color, with unclear demarcation and decreased E-cadherin expression. Fundic-type lesions were tan to reddish in color, with submucosal tumor-like protrusions, and positive for pepsinogen-I and H+/K+ ATPase. The cardiac gland type was located in the gastroesophageal junction and was positive for MUC6 and pepsinogen-I. Pyloric gland-type lesions were of the same color as normal mucosa, with mild elevation and unclear demarcation, likely positive for CD10 and chromogranin A. Foveolar epithelial-type lesions were white and elevated, with defined demarcation, and contained MUC5AC-positive cells. Mixed-type lesions, showing various staining patterns in IHC, had both elevated and depressed shape and reddish color. Conclusion: Endoscopic observation and IHC were useful for classifying the characteristics of HPINGC, which may preserve the characteristics of its region of origin.

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“…Esophagogastric junction (EGJ) cancer is defined as cancer with an epicenter within 5 cm of the EGJ . An increasing number of reports have proposed that EGJ carcinoma should be considered separately from esophageal or gastric cancer for its specific clinicopathologic features and survival outcomes . In the West, while overall incidence of gastric cancer has decreased steadily, incidence of neoplasms located in EGJ has significantly increased in the past few decades, with an unfavorable prognosis even after curative resection …”

Section: Introductionmentioning

confidence: 99%

Risk factors and a predictive nomogram for lymph node metastasis of superficial esophagogastric junction cancer

Zhu¹,

Cao

Li³

et al. 2020

J of Gastro and Hepatol

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Background and Aim: No predictive model for lymph node metastasis (LNM) of superficial esophagogastric junction (EGJ) cancer exists. This study aimed to evaluate incidence, identify risk factors, and develop a predictive nomogram for LNM in patients with superficial EGJ cancers. Methods: Data were extracted from the Surveillance, Epidemiology, and End Results database for model development and internal validation. Another data set was obtained from two hospitals for external validation. A nomogram was developed based on independent risk factors that resulted from a multivariate logistic regression analysis. Internal and external validations were performed to assess the performance of nomogram model by receiver operating characteristic and calibration plot. Results: Prevalence of LNM was 11.41% for intramucosal cancer and increased to 26.50% for submucosal cancer. On the multivariate analysis, large tumor size (odds ratio [OR] = 1.42; P < 0.001), moderately and poorly/un-differentiated pathological type (OR = 5.62 and 7.67; P = 0.024 and 0.008, respectively), and submucosal invasion (OR = 2.73; P = 0.004) were independent risk factors of LNM. The nomogram incorporating these three predictors demonstrated good discrimination (area under the estimated receiver operating characteristic curve [AUC]: 0.74; 95% confidence interval [95%CI]: 0.68, 0.80) and calibration (mean absolute error was 0.012). Moreover, the discrimination in the internal and external validation sets was good (AUC: 0.73 [95%CI: 0.66, 0.81] and 0.74 [95%CI: 0.60, 0.89], respectively). Nomogram provided better clinical usefulness as assessed by a decision curve analysis. Conclusions: Prevalence of LNM in superficial EGJ cancer was high. The first riskpredictive nomogram model for LNM of superficial EGJ cancer may help clinicians to decide optimal treatment option preoperatively.

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Considering the esophagogastric junction as a ‘zone’

Cited by 22 publications

References 65 publications

Potential Value of Radiomics in the Identification of Stage T3 and T4a Esophagogastric Junction Adenocarcinoma Based on Contrast-Enhanced CT Images

Potential Value of Radiomics in the Identification of Stage T3 and T4a Esophagogastric Junction Adenocarcinoma Based on Contrast-Enhanced CT Images

Endoscopic and Pathological Characteristics of <b><i>Helicobacter pylori</i></b> Infection-Negative Early Gastric Cancer

Risk factors and a predictive nomogram for lymph node metastasis of superficial esophagogastric junction cancer

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