Imaging for Insulinoma Localization
Intra-arterial calcium stimulation with hepatic venous sampling combined with endoscopic ultrasound (EUS) is the most effective approach for localizing insulinomas, with success rates up to 90-95% when used together. 1
Imaging Modalities for Insulinoma
First-Line Imaging Options
Endoscopic Ultrasound (EUS)
Cross-Sectional Imaging
Second-Line/Specialized Imaging
Intra-arterial calcium stimulation with digital subtraction angiography (DSA)
Intraoperative Ultrasound (IOUS)
Less Effective for Insulinoma
- Somatostatin Receptor Scintigraphy (SSRS/Octreoscan)
Diagnostic Algorithm for Insulinoma Localization
Initial Imaging: Start with dual-phase multi-detector CT or MRI
- If positive → proceed to surgery with intraoperative ultrasound
- If negative → proceed to EUS
Endoscopic Ultrasound (EUS)
- If positive → proceed to surgery
- If negative → proceed to functional localization
Functional Localization: Intra-arterial calcium stimulation with hepatic venous sampling
- Particularly valuable for occult insulinomas
- Success rate up to 90% when other modalities fail 1
Intraoperative Techniques
- Surgical palpation combined with intraoperative ultrasound can identify nearly all insulinomas 4
- Critical for final confirmation and precise localization
Important Clinical Considerations
Tumor Size Impact: Insulinomas are often small (average <2cm), making detection challenging
Preoperative Preparation
Common Pitfalls
- Relying solely on SSRS for insulinoma detection leads to high false-negative rates
- Failure to combine functional (calcium stimulation) with anatomic imaging reduces detection rates
- Overlooking the value of intraoperative ultrasound and surgical palpation
- Using octreotide without confirming receptor status can worsen hypoglycemia 1
Accurate preoperative localization significantly improves surgical outcomes and reduces complications in insulinoma management. The combination of anatomical (CT/MRI/EUS) and functional (calcium stimulation) imaging techniques provides the highest detection rates for these often small but clinically significant tumors.