Clinical application of digital pathology in small intestinal neuroendocrine tumours: proposal of a new G0 category.

Abstract

Introduction: Small intestinal neuroendocrine tumours (siNETs) are usually indolent neoplasms, most of which are classified as grade 1 with very low proliferative activity. In practice, Ki-67 in G1 siNETs is often reported simply as '<3%', limiting prognostic discrimination. Digital pathology now enables reliable automated quantification of very low Ki-67 values. We investigated whether precise Ki-67 quantification could improve prognostic stratification in G1 siNETs.

Methods: We retrospectively included 63 consecutive patients who underwent surgery for a G1 siNET at Beaujon Hospital between 2001 and 2017. Ki-67 was quantified on primary tumours (PTs) and, when available, lymph node and liver metastases, using QuPath automated image analysis. Ki-67 was assessed in the highest-proliferation hotspot (0.4 mm²; >2,000 tumour cells; Ki-67_max) and as the mean of five hotspots (Ki-67_mean). The primary endpoint was recurrence-free survival (RFS).

Results: Among 63 patients, 33 underwent curative-intent surgery (median age: 56 years; 69% male). Median tumour size was 20 mm. At surgery, 87% were node-positive and 67% had synchronous metastases. Median Ki-67_max/Ki-67_mean in PTs was 0.99%/0.71%. In localised disease, Ki-67_max predicted RFS (AUROC = 0.84). Median follow-up was 60.2 months. Median RFS was 112 months in patients with Ki-67_max ≥1%, whereas no recurrences occurred in those with Ki-67_max <1% (P = 0.04). Ki-67_mean provided no additional prognostic value.

Conclusion: Precise digital Ki-67 quantification refines prognostic stratification in G1 siNETs. Tumours with Ki-67 <1% may represent a biologically distinct 'G0' subgroup associated with extremely low recurrence risk after curative surgery.