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Park and Kim: Diagnosis of Gastric Subepithelial Tumors Using Endoscopic Ultrasonography or Abdominopelvic Computed Tomography: Which is Better?
See “Comparison of the Diagnostic Ability of Endoscopic Ultrasonography and Abdominopelvic Computed Tomography in the Diagnosis of Gastric Subepithelial Tumors” by Sang Yoon Kim, Ki-Nam Shim, Joo-Ho Lee, et al., on page [Related article:] 565-573.
Gastric subepithelial tumors (SETs) are predominantly asymptomatic lesions with normal overlying mucosa and are often found incidentally during endoscopic or radiologic examinations. Depending on the histopathological type, SETs may arise from the deep mucosa to the serosa of the stomach. The exact incidence of gastric SETs is unknown. However, according to the Korea EUS Study Group (unpublished data), the prevalence of gastric SETs, detected during routine esophagogastroduodenoscopy, in Korea is 3.1% (2,685/87,578 individuals). Gastric SETs include various types of tumors that can largely be classified as either benign or malignant lesions. Benign lesions include lipoma, leiomyoma, varices, ectopic pancreas, duplication cyst, and inflammatory fibroid polyp, whereas malignant lesions include gastrointestinal stromal tumor (GIST), neuroendocrine tumor, lymphoma, and rarely metastasis [1,2].
The differential diagnosis of gastric SETs begins with meticulous endoscopic examination, where the size, shape, color, mobility, consistency, pulsation, and presence of erosion or ulcer in the overlying mucosa are observed. In general, SETs have a normal-appearing mucosa; the presence of erythema or ulcer is associated with the risk of increase in SET size. Several signs such as the rolling, pillow, naked fat, and tenting signs can be confirmed by biopsy forceps manipulation of the SETs, which are useful for the differential diagnosis. Endoscopic ultrasonography (EUS) is the best imaging modality for evaluating gastric SETs. It can assess the accurate size, layer of origin, margin status, echogenicity, homogeneity, and presence of echogenic foci in the lesion [1,2]. Abdominopelvic computed tomography (CT) is also helpful for evaluating gastric SETs because it is less invasive and has several advantages, such as assessing the involvement of the gastric wall and adjacent structures including lymph nodes and the extragastric extent of the lesion. However, it cannot evaluate the layer of origin [3,4]. Management depends on the histopathological type of gastric SETs; however, both EUS and abdominopelvic CT are not confirmative modalities for diagnosing gastric SETs. Therefore, pathologic confirmation is occasionally needed [5]. There are several methods for pathologic diagnosis, including bite-on-bite biopsy, EUS-guided fine-needle aspiration, EUS-guided fine-needle biopsy, and even endoscopic mucosal resection or endoscopic submucosal dissection [6,7].
In this issue of Clinical Endoscopy, Kim et al. [8] compared the diagnostic ability of EUS and abdominopelvic CT and assessed their accuracies for diagnosing gastric SETs based on surgical histopathology results. The study included a total of 53 cases of gastric SETs, which were evaluated by both EUS and abdominopelvic CT before laparoscopic wedge resection. The median size of the gastric SETs was 3 cm, and there was no difference in size between the malignant/potentially malignant and benign lesions. The overall diagnostic accuracies of EUS and abdominal CT were 64.2% and 50.9%, respectively (p=0.238). However, there was no significant difference in the diagnostic accuracy between EUS and abdominopelvic CT for diagnosing both malignant/potentially malignant lesions and benign lesions (p=0.762 and p=0.160, respectively). For malignant/potentially malignant gastric SETs, EUS and abdominopelvic CT showed relatively high sensitivities and low specificities of 81.3% and 75.0% and 38.1% and 14.3%, respectively. The overall accuracy of EUS for gastric SETs was 64.2%, which is consistent with the results of previous studies reporting an accuracy of 46%–67% [2,3,7]. The overall accuracy of abdominopelvic CT (50.9%) was lower than that of EUS. Both EUS and abdominopelvic CT demonstrated good feasibility for detection of GISTs; however, EUS was more reliable for leiomyoma and ectopic pancreas, whereas abdominopelvic CT was more acceptable for lipoma and duplication cyst.
This study was a retrospective, single-center study and included only surgically resected gastric SETs. Inclusion of more endoscopically resected SETs or SETs diagnosed with EUS or CT alone without histopathologic confirmation may affect the results. Additionally, the SETs included in this study were relatively large (median size: 3 cm). In a previous study, abdominopelvic CT showed good feasibility for depiction of gastric SETs >10 mm [4]. However, several studies have reported that EUS is the gold standard for the diagnosis and detection of gastric SETs, and abdominopelvic CT cannot be an alternative to EUS, especially for small SETs [3]. The relatively high accuracy of abdominopelvic CT may be attributed the large size of gastric SETs in this study. Most gastric SETs are asymptomatic and small in size (<2 cm), and only 3.2%–8.5% of gastric SETs have been reported to increase in size [9]. Therefore, it would not be feasible to evaluate most gastric SETs using abdominopelvic CT. In addition, if the radiologists were not blind to the EUS findings of gastric SETs, the diagnostic accuracy of abdominopelvic CT could have been improved through a comprehensive interpretation of both modalities [10].
However, this study has reasonably demonstrated that abdominopelvic CT is a feasible diagnostic modality for malignant/potentially malignant gastric SETs such as GIST or lymphoma. Abdominopelvic CT is also complementary in evaluating benign lesions, such as lipoma and duplication cyst. With the increasing detection of gastric SETs in screening endoscopy, a more adequate evaluation modality should be determined. Therefore, further studies with a large number of SETs, including small lesions, should be conducted.

Notes

Conflicts of Interest:The authors have no financial conflicts of interest.

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