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Background: Urachal tumors are rare in clinical practice, among which urachal adenocarcinoma is the most common. In this study, we report a rare case of urachal perivascular epithelioid cell tumor to improve our understanding of the disease. Case presentation: A 26-year-old male patient was hospitalized for lower abdominal pain. The US showed a hypoechoic mass measuring 26mm × 18mm in the superior aspect of the bladder. MRI showed an irregular mass located anterior to the bladder roof, near the midline. The tumor exhibited hypointense on T1WI and heterogeneous hyperintense on T2WI. Additionally, contrast-enhanced T1-weighted imaging revealed obvious ring enhancement of the tumor. The patient underwent surgical resection of the urachal tumor, with subsequent pathological examination revealing a diagnosis of urachal PEComa. Following surgery, the patient underwent regular follow-up assessments, with no evidence of recurrence or metastasis observed after three and a half years. Conclusions: Urachal PEComa is a rare mesenchymal tumor that presents challenges in diagnosis through imaging and clinical symptoms. Definitive diagnosis relies on pathological and immunohistochemical analysis. Due to the rarity of urachal PEComa, prognosis assessment necessitates long-term follow-up and evaluation of more cases.
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Clinical and pathological features are important factors that affect the prognosis and treatment strategies of patients with gastric cancer (GC). An upper gastrointestinal barium X-ray examination is commonly used to show gastric mucosa and morphological changes. The aim of the present study was to evaluate the association between gastric morphological type and the clinicopathological features of patients with GC, based on double-contrast barium X-ray imaging. A total of 329 patients with GC who underwent upper gastrointestinal barium X-ray examination were analyzed. The gastric morphological type was divided into four types on barium X-ray images: Horn-type, hook-type, weak-type and waterfall-type stomach. The χ2 test or Fisher's exact test was used to assess the association between gastric morphological type and the clinicopathological features. There was a statistically significant difference in the location of GC between different types of gastric morphology. Hook-type and horn-type GC were commonly present in the lower region of the stomach, while waterfall-type GC was mainly located in the upper region of the stomach. The incidence of waterfall-type non-poorly differentiated GC was higher than that of other gastric types. The incidence of waterfall-type intestinal-type GC was higher than that of other gastric types, and horn-type GC was more common in mixed-type GC. There was a statistically significant difference in the T-staging of GC between different types of gastric morphology. In conclusion, gastric morphological type correlates with the location and T-stage distribution of GC.
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Background: The differentiation status of gastric cancer is related to clinical stage, treatment and prognosis. It is expected to establish a radiomic model based on the combination of gastric cancer and spleen to predict the differentiation degree of gastric cancer. Thus, we aim to determine whether radiomic spleen features can be used to distinguish advanced gastric cancer with varying states of differentiation. Materials and methods: January 2019 to January 2021, we retrospectively analyzed 147 patients with advanced gastric cancer confirmed by pathology. The clinical data were reviewed and analyzed. Three radiomics predictive models were built from radiomics features based on gastric cancer (GC), spleen (SP) and combination of two organ position (GC+SP) images. Then, three Radscores (GC, SP and GC+SP) were obtained. A nomogram was developed to predict differentiation statue by incorporating GC+SP Radscore and clinical risk factors. The area under the curve (AUC) of operating characteristics (ROC) and calibration curves were assessed to evaluate the differential performance of radiomic models based on gastric cancer and spleen for advanced gastric cancer with different states of differentiation (poorly differentiated group and non- poorly differentiated group). Results: There were 147 patients evaluated (mean age, 60 years ± 11SD, 111 men). Univariate and multivariate logistic analysis identified three clinical features (age, cTNM stage and CT attenuation of spleen arterial phase) were independent risk factors for the degree of differentiation of GC (p =0.004,0.000,0.020, respectively). The clinical radiomics (namely, GC+SP+Clin) model showed powerful prognostic ability in the training and test cohorts with AUCs of 0.97 and 0.91, respectively. The established model has the best clinical benefit in diagnosing GC differentiation. Conclusion: By combining radiomic features (GC and spleen) with clinical risk factors, we develop a radiomic nomogram to predict differentiation status in patients with AGC, which can be used to guide treatment decisions.