primary gastric lymphoma
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2022 ◽  
Vol 11 ◽  
Author(s):  
Bao Feng ◽  
Liebin Huang ◽  
Yu Liu ◽  
Yehang Chen ◽  
Haoyang Zhou ◽  
...  

ObjectiveThis study aims to differentiate preoperative Borrmann type IV gastric cancer (GC) from primary gastric lymphoma (PGL) by transfer learning radiomics nomogram (TLRN) with whole slide images of GC as source domain data.Materials and MethodsThis study retrospectively enrolled 438 patients with histopathologic diagnoses of Borrmann type IV GC and PGL. They received CT examinations from three hospitals. Quantitative transfer learning features were extracted by the proposed transfer learning radiopathomic network and used to construct transfer learning radiomics signatures (TLRS). A TLRN, which integrates TLRS, clinical factors, and CT subjective findings, was developed by multivariate logistic regression. The diagnostic TLRN performance was assessed by clinical usefulness in the independent validation set.ResultsThe TLRN was built by TLRS and a high enhanced serosa sign, which showed good agreement by the calibration curve. The TLRN performance was superior to the clinical model and TLRS. Its areas under the curve (AUC) were 0.958 (95% confidence interval [CI], 0.883–0.991), 0.867 (95% CI, 0.794–0.922), and 0.921 (95% CI, 0.860–0.960) in the internal and two external validation cohorts, respectively. Decision curve analysis (DCA) showed that the TLRN was better than any other model. TLRN has potential generalization ability, as shown in the stratification analysis.ConclusionsThe proposed TLRN based on gastric WSIs may help preoperatively differentiate PGL from Borrmann type IV GC.Borrmann type IV gastric cancer, primary gastric lymphoma, transfer learning, whole slide image, deep learning.


2021 ◽  
Author(s):  
Venkat Masarapu ◽  
Austin Ruediger ◽  
Robert A. Koenigsberg, DO

2021 ◽  
Vol 116 (1) ◽  
pp. S1287-S1287
Author(s):  
Preeyanka Sundar ◽  
Suma Harsha Kosuru ◽  
Matthew Hillam ◽  
Sara Ancello

2021 ◽  
pp. 928-930
Author(s):  
Petr Lochman ◽  
Jiří Páral

Primary gastric lymphoma is a relatively rare tumour which is not primarily indicated on for surgical treatment. We present a case of locally advanced primary gastric lymphoma with penetration to the surrounding organs that had to be managed surgically. The proximal gastrectomy with splenectomy, distal pancreatectomy, and left colectomy was performed. We reached R0 resection, and patient was recovered well.


2021 ◽  
Vol 12 (2) ◽  
pp. 365-376
Author(s):  
Ayman Haimour ◽  
Osama Abu-Shawer ◽  
Mohammad Abu-Shawer ◽  
Ali Al-Taji ◽  
Tamer Altamimi ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Moiz Ahmed ◽  
Ahmed Al-Khazraji ◽  
Umer Syed ◽  
Tasur Seen ◽  
Aaron Walfish

Abstract Background The gastrointestinal tract is sa well-known site for extranodal Non-Hodgkin lymphomas, with the stomach is known to be the most common site on lymphoma, primary gastric lymphoma (PGL). The lymphoproliferative disorder rarely occurs in patients with cirrhosis. We report a unique case of metastatic PGL in a patient with cirrhosis. Case presentation A middle-aged male with decompensated alcoholic cirrhosis presented with two weeks of epigastric abdominal pain, abdominal distension, and jaundice. Abdominal triple-phase CT scan was consistent with cirrhosis, ascites, and multiple new hypodense liver lesions classified as an intermediate probability for HCC based on the LI-RADS classification system (LI RADS 3). Due to the CT findings in the setting of cirrhosis, a provisional diagnosis of HCC was made. Upper endoscopy revealed new multiple umbilicated submucosal nodules in the gastric body. Biopsy and immunostaining consistent with high-grade B-cell lymphoma. Targeted liver biopsy with similar morphology and immunostaining profile consistent with metastatic primary gastric DLBCL. Conclusions The case highlights the importance of recognizing metastatic PGL in patients with underlying cirrhosis to differentiate lymphoma from hepatocellular cancer. Targeted liver biopsies with lymphoma immunostaining are required to make a diagnosis.


2020 ◽  
Vol 115 (1) ◽  
pp. S1343-S1343
Author(s):  
Moiz Ahmed ◽  
Ahmed AL-Khazraji ◽  
Bhanu Singh ◽  
Umer Syed ◽  
Rupa Sharma ◽  
...  

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