EUS Features of Gastric Neuroendocrine Tumors
Gastric NETs on EUS typically appear as well-defined, hypoechoic masses originating from the deep mucosa or submucosa (third or fourth echo layer), with homogeneous echotexture and smooth borders. 1, 2
Characteristic Sonographic Appearance
Layer of Origin and Echogenicity
- Gastric NETs characteristically arise from the third (deep mucosa/muscularis mucosae) or fourth (submucosa) echo layer of the gastric wall, appearing as hypoechoic (darker than surrounding tissue) lesions 2, 3
- The hypoechoic appearance reflects the solid cellular composition of neuroendocrine tissue, distinguishing them from cystic or inflammatory lesions 2
- Most lesions demonstrate homogeneous internal echotexture without calcifications or necrosis, particularly in smaller tumors 1
Size and Morphology
- Type 1 gastric NETs (associated with chronic atrophic gastritis) are typically small (<2 cm), multiple, and polypoid, appearing as well-circumscribed hypoechoic nodules 4, 2
- Larger tumors (>2 cm) are more likely to be non-functioning and may show signs of malignancy including heterogeneous echotexture, irregular borders, and invasion into deeper layers 1
- The lesions maintain smooth, well-defined margins in benign cases, with loss of this feature suggesting malignant transformation 1, 2
Diagnostic Performance and Clinical Utility
Detection Sensitivity
- EUS achieves 82-93% sensitivity for detecting gastric and pancreatic NETs, significantly superior to CT (57-94%), MRI (74-94%), and conventional ultrasound (17.4%) 1, 5
- EUS is particularly valuable for detecting small tumors (<2 cm) that are frequently missed by cross-sectional imaging, with one study showing 91.6% detection rate for lesions under 20mm 2, 5
- The technique demonstrates 87% accuracy for localizing pancreatic NETs and can identify multiple synchronous lesions in MEN1 syndrome with 92-97% sensitivity 1, 5
Tissue Acquisition
- EUS-guided fine-needle aspiration (FNA) provides tissue diagnosis with close correlation between aspiration cytology and final surgical histology, maintaining a low complication rate 1, 3
- FNA is particularly useful for lesions in the deep submucosa where endoscopic biopsy may be inadequate or risky 3
- The dual capability of visualization and tissue sampling makes EUS the preferred first-line diagnostic modality when gastric NET is suspected 5
Assessment of Invasion and Staging
Depth of Wall Invasion
- EUS accurately evaluates the depth of parietal invasion in 75% of cases, determining whether the tumor is confined to mucosa/submucosa or extends into muscularis propria 5
- This assessment is critical for treatment planning, as tumors crossing into muscularis propria require more extensive resection than simple endoscopic removal 3
- Invasion into the fifth echo layer (serosa) or beyond indicates advanced disease requiring surgical rather than endoscopic management 1
Lymph Node Assessment
- EUS can identify metastatic lymph nodes with 90.9% accuracy, appearing as hypoechoic, rounded structures with loss of normal architecture 5
- Regional lymph node involvement changes management from endoscopic resection to surgical resection with lymphadenectomy 3
Signs of Malignancy
High-Risk Features
- Large size (>2 cm), necrosis, calcification, and invasion/infiltration of surrounding structures indicate malignant potential 1
- Heterogeneous echotexture with irregular borders suggests aggressive behavior requiring more extensive surgical intervention 1
- Loss of the normal layered architecture of the gastric wall indicates transmural invasion 2
Clinical Context and Pitfalls
Type-Specific Considerations
- Type 1 gastric NETs (associated with chronic atrophic gastritis and hypergastrinemia) present as multiple small (<1 cm) polyps in the gastric body/fundus, requiring recognition of the underlying gastritis pattern 4, 6
- These lesions may be subtle on standard endoscopy but are readily apparent on EUS as multiple hypoechoic nodules in the deep mucosa 6
Common Diagnostic Errors
- Avoid relying solely on standard endoscopy for gastric NET detection, as these tumors can be easily missed when small or located in the deep submucosa 6, 3
- Do not confuse gastric NETs with GISTs or leiomyomas; NETs typically arise from more superficial layers (third/fourth) while GISTs originate from the muscularis propria (fourth/fifth layer) 7
- EUS should be performed early in the diagnostic workup rather than after failed conventional imaging, given its superior sensitivity for small lesions 2, 5
Integration with Other Modalities
- While EUS excels at local staging, combine with somatostatin receptor scintigraphy (SSRS) or 68Ga-DOTATOC PET/CT for whole-body staging to detect distant metastases 1
- The combination of EUS and functional imaging increases overall diagnostic sensitivity beyond either modality alone 2
- Reserve CT and MRI primarily for excluding hepatic and distant metastases rather than primary tumor detection 2, 5