Minimally Invasive Resection of Occult Insulinomas—Experience from an ENETS Centre of Excellence and Review of the Literature
Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Patient Selection
2.2. Clinical Data
2.3. Literature Search
2.4. Data Analysis
3. Results
3.1. Hamburg Cohort of Occult Insulinomas
3.2. Systematic Review on Occult Insulinomas
4. Discussion
- Insulinomas can be negative in conventional MRI and CT. This is most frequent in female patients and in insulinomas of the pancreatic body and tail.
- If an insulinoma is clinically suspected (i.e., recurring hypoglycaemia and pathological fasting test) despite negative imaging, GLP-1R PET/CT should be conducted as an additional diagnostic tool if available.
- In case an insulinoma remains clinically suspected despite negative conventional imaging, EUS, and GLP-1R PET/CT, minimally invasive exploration with intraoperative ultrasound is feasible and safe.
- Parenchyma-sparing resections can be achieved even in cases of negative preoperative imaging.
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| GLP-1R PET/CT | Glucagon-Like Peptide-1 Receptor positron emission tomography |
| CDC | Clavien–Dindo classification |
| cm | centimetre |
| CoE | Center of Excellence |
| CT | computed tomography |
| DGE | delayed gastric emptying |
| DP | distal pancreatectomy |
| ENETS | European Neuroendocrine Tumor Society |
| ERAS | Enhanced Recovery after Surgery |
| EUS | endoscopic ultrasound |
| FNA | fine needle aspiration |
| IOUS | intraoperative ultrasound |
| IQR | interquartile range |
| ISGPS | International Study Group for Pancreatic Surgery |
| MDT | multidisciplinary team |
| MEN | Multiple endocrine neoplasia |
| MeSH | medical subject heading |
| mm | millimetre |
| MRI | magnetic resonance imaging |
| N/A | not applicable |
| NET | neuroendocrine tumour |
| PHR | pancreatic head resection |
| pNET | pancreatic neuroendocrine tumour |
| POPF | postoperative pancreatic fistula |
| PRISMA | Preferred Reporting Items for Systematic Reviews and Meta-analysis |
| SACST | selective pancreatic angiography and calcium stimulation catheterisation |
| SD | standard deviation |
| SRI | somatostatin receptor imaging |
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| Hamburg Cohort (n = 8) | ||
|---|---|---|
| n/All | IQR/%/SD | |
| Median age [years] | 50.5 | 47.25–65.25 (IQR) |
| Gender | 4:4 | 50.0%:50.0% |
| Preoperative diagnostics | ||
| Preoperative CT (positive/conducted) | 3/5 | 60.0% |
| Preoperative MRI (positive/conducted) | 5/8 | 62.5% |
| Preoperative EUS (positive/conducted) | 3/5 | 60.0% |
| Preoperative SRI (positive/conducted) | 1/4 | 25.0% |
| Preoperative GLP-1R PET/CT (positive/conducted) | 1/2 | 50.0% |
| Operative details | ||
| Insulinoma localisation | Head: 2/8 | 25.0% |
| Body/Tail: 6/8 | 75.0% | |
| Approach | Laparoscopic: 3/8 | 37.5% |
| Robotic: 5/8 | 62.5% | |
| Conversion rate | Laparoscopic: 1/3 | 33.3% |
| Robotic: 1/5 | 20.0% | |
| Operation | Enucleation: 2/8 | 25.0% |
| PHR: 1/8 | 12.5% | |
| DP:5/8 | 62.5% | |
| Postoperative drain use | Yes: 7/8 | 87.5% |
| No: 1/8 | 12.5% | |
| Postoperative major complication (CDC ≥ 3a) | 1/8 | 12.5% |
| Median length of stay [days] | 8.5 | 6.5–18.25 (IQR) |
| Histopathological characteristics | ||
| Mean tumour size [mm] | 17.2 | 13.3 (SD) |
| Tumour grading | G1: 2/8 | 25.0% |
| G2: 6/8 | 75.0% | |
| pT stage 1 | pT1: 7/8 | 87.5% |
| pT2: 0/8 | 0% | |
| pT3: 1/8 | 12.5% | |
| pT4: 0/8 | 0% | |
| pN stage 1 | pN0: 7/8 | 87.5% |
| pN1: 1/8 | 12.5% | |
| c/pM stage 1 | c/pM0: 7/8 | 87.5% |
| c/pM1: 1/8 | 12.5% | |
| R stage 1 | R0: 5/8 | 62.5% |
| R1: 2/8 | 25.0% | |
| Rx: 1/8 | 12.5% | |
| Study | Number of Patients n | Male/Female (%) n:n (%:%) | Median Age (IQR) [Years] | MEN1-Patients n (%) |
|---|---|---|---|---|
| Hamburg cohort | 2 | 1:1 (50.0:50.0) | 59.5 (51–68) | 0 |
| Antwi, 2015 [26] | 4 | 2:2 (50.0:50.0) | 55.5 (41.3–63.8) | 0 |
| Antwi, 2018 [12] | 34 | n/A | N/A (N/A) | 0 |
| Arjunan, 2024 [27] | 1 | 0:1 (0:100) | 35 (N/A) | 0 |
| Bongetti, 2018 [28] | 1 | 0:1 (0:100) | 82 (N/A) | 0 |
| Breuer, 2016 [29] | 1 | 0:1 (0:100) | 64 (N/A) | 0 |
| Cuthbertson, 2016 [30] | 1 | 0:1 (0:100) | 49 (N/A) | 0 |
| Erichsen, 2020 [31] | 1 | 0:1 (0:100) | 14 (N/A) | 1 (100) |
| Guo, 2025 [34] | 1 | 0:1 (0:100) | 44 (N/A) | 0 |
| Hofland, 2024 [35] | 1 | 1:0 (100:0) | 45 (N/A) | 0 |
| Larose, 2020 [36] | 1 | 1:0 (100:0) | 37 (N/A) | 0 |
| Luo, 2015 [40] | 1 | 1:0 (100:0) | 52 (N/A) | 0 |
| Luo, 2016 [38] | 1 | 0:1 (0:100) | 61 (N/A) | 0 |
| Mishra, 2022 [41] | 4 | N/A | N/A (N/A) | N/A |
| Mohamed Shah, 2021 [42] | 1 | 1:0 (100:0) | 33 (N/A) | 0 |
| Morera, 2016 [9] | 11 | N/A | N/A (N/A) | N/A |
| Perkov, 2016 [45] | 2 | 0:2 (0:100) | 33.5 (30–37) | 1 (50.0) |
| Ranaweerage, 2022 [46] | 1 | 0:1 (0:100) | 23 (N/A) | 1 (100) |
| Rashid, 2020 [47] | 1 | 1:0 (100:0) | 40 (N/A) | 0 |
| Sakaki, 2025 [48] | 1 | 0:1 (0:100) | 67 (N/A) | 0 |
| Senica, 2020 [49] | 5 | 0:5 (0:100) | 57.0 (41.5–68.5) | 0 |
| Sowa-Staszczak, 2016 [50] | 22 | 10:12 (45.5:54.5) | 48 (34–60.5) | N/A |
| Subasinghe, 2020 [51] | 1 | 1:0 (100:0) | 39 (N/A) | 0 |
| Thompson, 2015 [10] | 42 | 15:27 (45.7:64.3) | 48.6 (18.7–76.7) | 4 (9.5) |
| Wong, 2021 [53] | 1 | 0:1 (0:100) | 33 (N/A) | 0 |
| Total | 142 | 34:59 (36.6:63.4) | 48.0 (35.0–82.0) 1 | 7 (6.7) |
| Study | MRI Conducted n (%) | CT Conducted n (%) | SRI Conducted n (%) | SRI Positive n (%) | GLP-1R PET/CT Conducted n (%) | GLP-1R PET/CT Positive n (%) | EUS Conducted n (%) | EUS Positive n (%) | SACST Conducted n (%) | SACST Positive n (%) |
|---|---|---|---|---|---|---|---|---|---|---|
| Hamburg cohort | 2 (100) | 2 (100) | 1 (50.0) | 0 | 2 (100) | 1 (50.0) | 2 (100) | 0 1 | 0 | - |
| Antwi, 2015 [26] | 3 (75.0) | 1 (25.0) | 0 | - | 4 (100) | 4 (100) | 3 (75) | 0 | 2 (50.0) | 0 |
| Antwi, 2018 [12] | 25 (73.5) | 16 (47.1) | 10 (29.4) | 1 (2.9) | 34 (100) | 28 (82.4) | 22 (64.7) | 7 (31.8) | 10 (29.4) | 3 (30) |
| Arjunan, 2024 [27] | 1 (100) | 1 (100) | 1 (100) | 0 | 1 (100) | 1 (100) | 1 (100) | 0 | 0 | - |
| Bongetti, 2018 [28] | 0 | 1 (100) | 1 (100) | 0 | 1 (100) | 0 2 | 1 (100) | 1 (100) | 1 (100) | 1 (100) |
| Breuer, 2016 [29] | 1 (100) | 1 (100) | 0 | - | 1 (100) | 1 (100) | 1 (100) | 1 (100) | 0 | - |
| Cuthbertson, 2016 [30] | 1 (100) | 1 (100) | 1 (100) | 0 | 1 (100) | 1 (100) | 1 (100) | 0 | 0 | - |
| Erichsen, 2020 [31] | 0 2 | 0 | 1 (100) | 0 3 | 1 (100) | 0 | 1 (100) | 0 | 0 | - |
| Guo, 2025 [34] | 0 | 1 (100) | 0 | - | 0 | - | 1 (100) | 1 (100) | 0 | - |
| Hofland, 2024 [35] | 0 | 1 (100) | 1 (100) | 0 | 1 (100) | 1 (100) | 1 (100) | 1 (100) | 0 | - |
| Larose, 2020 [36] | 0 | 1 (100) | 1 (100) | 1 (100) | 0 | - | 0 | - | 0 | - |
| Luo, 2015 [40] | 1 (100) | 1 (100) | 1 (100) | 0 | 1 (100) | 1 (100) | 1 (100) | 0 | 0 | - |
| Luo, 2016 [38] | 1 (100) | 1 (100) | 1 (100) | 0 | 1 (100) | 1 (100) | 1 (100) | 0 | 1 (100) | 0 |
| Mishra, 2022 [41] | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Mohamed Shah, 2021 [42] | 1 (100) | 1 (100) | 0 | - | 0 | - | 1 (100) | 0 | 1 (100) | 1 (100) |
| Morera, 2016 [9] | 10 (90.9) | 9 (81.8) | 0 | - | 0 | - | 7 (63.6) | 5 (71.4) | 10 (90.9) | 7 (70.0) |
| Perkov, 2016 [45] | N/A | 2 (100) | 2 (100) | 0 | 0 | - | 1 (50.0) | 0 | 2 (100) | 2 (100) |
| Ranaweerage, 2022 [46] | 1 (100) | 1 (100) | 0 | - | 0 | - | 0 | - | 1 (100) | 1 (100) |
| Rashid, 2020 [47] | 1 (100) | 1 (100) | 0 | - | 0 | - | 0 | - | 1 (100) | 1 (100) |
| Sakaki, 2025 [48] | 1 (100) | 1 (100) 3 | 1 (100) | 0 | 1 (100) | 1 (100) | 1 (100) | 0 2 | 1 (100) | 0 |
| Senica, 2020 [49] | 3 (60.0) | 5 (100) | 5 (100) | 0 | 5 (100) | 5 (100) | 4 (80.0) | 1 (25.0) | 0 | - |
| Sowa-Staszczak, 2016 [50] | 22 (100) | 22 (100) | 0 | - | 22 (100) | 22 (100) | 0 | - | 0 | - |
| Subasinghe, 2020 [51] | 1 (100) | 1 (100) | 0 | - | 0 | - | 0 | - | 1 (100) | 1 (100) |
| Thompson, 2015 [10] | 42 (100) | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 42 (100) | 40 (95.2) |
| Wong, 2021 [53] | 1 (100) | 1 (100) | 0 | - | 0 | - | 0 | - | 1 (100) | 1 (100) |
| Total | 118/136 (86.8) | 72/138 (52.2) | 27/96 (28.1) | 2/27 (7.4) | 76/96 (79.2) | 67/76 (88.2) | 50/96 (52.1) | 17/50 (34.0) | 74/138 (53.6) | 58/74 (78.4) |
| Study | Number of Operations n/All | Minimally Invasive Approach (%) n (%) | Intraoperative Ultrasound Conducted n (%) | Type of Operation n (%) | Postoperative Major Complications 1 n (%) |
|---|---|---|---|---|---|
| Hamburg cohort | 2/2 | 2 (100) | 1 (50.0) | Enucleation: 0 PHR: 0 DP: 2 (100) Other: 0 | 0/2 (0) |
| Antwi, 2015 [26] | 3/4 | N/A | N/A | Enucleation: 1 (33.3) PHR: 0 DP: 2 (66.7) Other: 0 | N/A |
| Antwi, 2018 [12] | 23/34 | N/A | N/A | Enucleation:11 (47.8) PHR: 0 DP: 10 (43.5) Other: 2 (8.7) | N/A |
| Arjunan, 2024 [27] | 1/1 | 0 | 1 (100) | Enucleation: 1 (100) PHR: 0 DP: 0 Other: 0 | 0/1 (0) |
| Bongetti, 2018 [28] | 1/1 | 1 (100) | N/A | Enucleation: 1 (100) PHR: 0 DP: 0 Other: 0 | 0/1 (0) |
| Breuer, 2016 [29] | 1/1 | 0 | 1 (100) | Enucleation: 1 (100) PHR: 0 DP: 0 Other: 0 | 0/1 (0) |
| Cuthbertson, 2016 [30] | 1/1 | 0 | N/A | Enucleation: 0 PHR: 0 DP: 0 Other: 1 (100) | 0/1 (0) |
| Erichsen, 2020 [31] | 1/1 | 0 | N/A | Enucleation: 0 PHR: 0 DP: 1 (100) Other: 0 | 1/1 (100) |
| Guo, 2025 [34] | 1/1 | 0 | 1 (100) | Enucleation: 0 PHR: 1 (100) DP: 0 Other: 0 | 0/1 (0) |
| Hofland, 2024 [35] | 1/1 | 1 (100) | N/A | Enucleation: 1 (100) PHR: 0 DP: 0 Other: 0 | 0/1 (0) |
| Larose, 2020 [36] | 1/1 | 1 (100) | N/A | Enucleation: 0 PHR: 0 DP: 1 (100) Other: 0 | 0/1 (0) |
| Luo, 2015 [40] | 1/1 | N/A | 1 (100) | Enucleation: 0 PHR: 0 DP: 1 (100) Other: 0 | 0/1 (0) |
| Luo, 2016 [38] | 1/1 | N/A | N/A | Enucleation: N/A PHR: N/A DP: N/A Other: N/A | 0/1 (0) |
| Mishra, 2022 [41] | 4/4 | 4 (100) | 4 (100) | Enucleation: N/A PHR: N/A DP: N/A Other: N/A | N/A |
| Mohamed Shah, 2021 [42] | 1/1 | N/A | 1 (100) | Enucleation: 0 PHR: 0 DP: 1 (100) Other: 0 | 0/1 (0) |
| Morera, 2016 [9] | 10/11 | N/A | 6 (60.0) | Enucleation: 6 (60.0) PHR: 2 (20.0) DP: 2 (20.0) Other:0 | N/A |
| Perkov, 2016 [45] | 2/2 | 0 | 2 (100) | Enucleation: N/A PHR: N/A DP: N/A Other: N/A | N/A |
| Ranaweerage, 2022 [46] | 1/1 | 0 | N/A | Enucleation: 0 PHR: 0 DP: 1 (100) Other: 0 | 0/1 (0) |
| Rashid, 2020 [47] | 1/1 | N/A | N/A | Enucleation: 0 PHR: 0 DP: 1 (100) Other: 0 | 0/1 (0) |
| Sakaki, 2025 [48] | 1/1 | 1 (100) | N/A | Enucleation: 1 (100) PHR: 0 DP: 0 Other: 0 | 0/1 (0) |
| Senica, 2020 [49] | 5/5 | N/A | N/A | Enucleation: N/A PHR: N/A DP: N/A Other: N/A | 0/5 (0) |
| Sowa-Staszczak, 2016 [50] | 19/22 | N/A | N/A | Enucleation: N/A PHR: N/A DP: N/A Other: N/A | 1/19 (5.3) |
| Subasinghe, 2020 [51] | 1/1 | 0 | 1 (100) | Enucleation: 1 (100) PHR: 0 DP: 0 Other: 0 | 0/1 (0) |
| Thompson, 2015 [10] | 42/42 | N/A | 34 (81.0) | Enucleation: 23 (54.8) PHR:1 (2.3) DP: 18 (42.9) Other: 0 | 0/42 (0) |
| Wong, 2021 [53] | 0/1 | - | - | Enucleation: - PHR: - DP: - Other: - | - |
| Total | 125/142 (88.0) | 10/19 (52.6) | 53/66 (80.3) | Enucleation: 47 (50.0) PHR: 4 (4.3) DP: 40 (42.6) Other: 3 (3.2) | 2/83 (2.4) |
| Study | Mean Tumour Size [mm] | Grading | Localisation | ||||
|---|---|---|---|---|---|---|---|
| (SD) | G1 | G2 | G3 | Head | Body/Tail | ||
| Hamburg cohort | 13.0 | (±4.2) | 0 | 2 | 0 | 0 | 2 |
| Antwi, 2015 [26] | 9.3 | (±1.2) | N/A | N/A | N/A | 0 | 3 |
| Antwi, 2018 [12] | 11.8 | (±5.0) | 16 | 4 | 1 | 6 | 19 |
| Arjunan, 2024 [27] | 15.0 | (N/A) | N/A | N/A | N/A | 1 | 0 |
| Bongetti, 2018 [28] | 11.0 | (N/A) | N/A | N/A | N/A | 0 | 1 |
| Breuer, 2016 [29] | 7.0 | (N/A) | 1 | 0 | 0 | 1 | 0 |
| Cuthbertson, 2016 [30] | 15.0 | (N/A) | 1 | 0 | 0 | 0 | 1 |
| Erichsen, 2020 [31] | 10.0 | (N/A) | N/A | N/A | N/A | 0 | 1 |
| Guo, 2025 [34] | 14.0 | (N/A) | N/A | N/A | N/A | 0 | 1 |
| Hofland, 2024 [35] | 12.0 | (N/A) | 1 | 0 | 0 | 0 | 1 |
| Larose, 2020 [36] | 19.0 | (N/A) | N/A | N/A | N/A | 0 | 1 |
| Luo, 2015 [40] | N/A | (N/A) | 1 | 0 | 0 | 0 | 1 |
| Luo, 2016 [38] | 25.0 | (N/A) | 0 | 1 | 0 | 0 | 1 |
| Mishra, 2022 [41] | N/A | (N/A) | N/A | N/A | N/A | N/A | N/A |
| Mohamed Shah, 2021 [42] | 10.1 | (N/A) | N/A | N/A | N/A | 0 | 1 |
| Morera, 2016 [9] | 13.7 | (±4.0) | N/A | N/A | N/A | 6 | 4 |
| Perkov, 2016 [45] | 18.0 | (±1.4) | N/A | N/A | N/A | 2 | 0 |
| Ranaweerage, 2022 [46] | N/A | (N/A) | 1 | 0 | 0 | 0 | 1 |
| Rashid, 2020 [47] | 15.0 | (N/A) | 1 | 0 | 0 | 0 | 1 |
| Sakaki, 2025 [48] | 23.0 | (N/A) | 1 | 0 | 0 | 0 | 1 |
| Senica, 2020 [49] | 15.4 | (±8.4) | 2 | 3 | 0 | 1 | 4 |
| Sowa-Staszczak, 2016 [50] | N/A | (N/A) | 18 | 0 | 1 | N/A | N/A |
| Subasinghe, 2020 [51] | 10.0 | (N/A) | 1 | 0 | 0 | 0 | 1 |
| Thompson, 2015 [10] | 16.0 | (±0.9) | N/A | N/A | N/A | N/A | N/A |
| Wong, 2021 [53] | N/A | (N/A) | N/A | N/A | N/A | N/A | N/A |
| Total | 14.2 | ±4.5 | 44/56 (78.6%) | 10/56 (17.9%) | 2/56 (3.6%) | 17/62 (27.4%) | 45/62 (72.6%) |
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Ritter, A.S.; Ockenga, F.; Steinkraus, K.C.; Poppinga, J.; von Kroge, P.H.; Amin, T.; Viol, F.; Fründt, T.W.; Nickel, F.; Hackert, T.; et al. Minimally Invasive Resection of Occult Insulinomas—Experience from an ENETS Centre of Excellence and Review of the Literature. Cancers 2025, 17, 3857. https://doi.org/10.3390/cancers17233857
Ritter AS, Ockenga F, Steinkraus KC, Poppinga J, von Kroge PH, Amin T, Viol F, Fründt TW, Nickel F, Hackert T, et al. Minimally Invasive Resection of Occult Insulinomas—Experience from an ENETS Centre of Excellence and Review of the Literature. Cancers. 2025; 17(23):3857. https://doi.org/10.3390/cancers17233857
Chicago/Turabian StyleRitter, Alina S., Feline Ockenga, Kira C. Steinkraus, Jelte Poppinga, Philipp H. von Kroge, Tania Amin, Fabrice Viol, Thorben W. Fründt, Felix Nickel, Thilo Hackert, and et al. 2025. "Minimally Invasive Resection of Occult Insulinomas—Experience from an ENETS Centre of Excellence and Review of the Literature" Cancers 17, no. 23: 3857. https://doi.org/10.3390/cancers17233857
APA StyleRitter, A. S., Ockenga, F., Steinkraus, K. C., Poppinga, J., von Kroge, P. H., Amin, T., Viol, F., Fründt, T. W., Nickel, F., Hackert, T., & Nießen, A. (2025). Minimally Invasive Resection of Occult Insulinomas—Experience from an ENETS Centre of Excellence and Review of the Literature. Cancers, 17(23), 3857. https://doi.org/10.3390/cancers17233857

