Clinical and computational development of a patient-calibrated ICGFA bowel transection recommender published in Surgical Endoscopy

Intraoperative indocyanine green fluorescence Surgical_Endoscopyangiography (ICGFA) aims to reduce colorectal anastomotic complications. This research demonstrates a proof of concept of a novel clinical and computational method for patient calibrated quantitative ICGFA (QICGFA) bowel transection recommendation.

Congratulations to Mr Jeffrey Dalli, General Surgeon, Surgical Research Fellow at UCD Centre for Precision Surgery, Jonathan P. Epperlein, IBM Research Europe, Mr Niall P. Hardy, Specialist Registrar General Surgery, Mr Mohammad Faraz Khan, Specialist surgical lecturer and Specialist Registrar, GI Surgery, Pol Mac Aonghusa, IBM Research Europe & Prof Ronan Cahill, Professor of Surgery, Mater Hospital and UCD and all involved in this research, published in Surgical Endoscopy.

Abstract

Methods

Patients undergoing elective colorectal resection had colonic ICGFA both immediately after operative commencement prior to any dissection and again, as usual, just before anastomotic construction. Video recordings of both ICGFA acquisitions were blindly quantified post hoc across selected colonic regions of interest (ROIs) using tracking-quantification software and computationally compared with satisfactory perfusion assumed in second time-point ROIs, demonstrating 85% agreement with baseline ICGFA. ROI quantification outputs detailing projected perfusion sufficiency-insufficiency zones were compared to the actual surgeon-selected transection/anastomotic construction site for left/right-sided resections, respectively. Anastomotic outcomes were recorded, and tissue lactate was also measured in the devascularised colonic segment in a subgroup of patients. The novel perfusion zone projections were developed as full-screen recommendations via overlay heatmaps.

Results

No patient suffered intra- or early postoperative anastomotic complications. Following computational development (n = 14) the software recommended zone (ROI) contained the expert surgical site of transection in almost all cases (Jaccard similarity index 0.91) of the nine patient validation series. Previously published ICGFA time-series milestone descriptors correlated moderately well, but lactate measurements did not. High resolution augmented reality heatmaps presenting recommendations from all pixels of the bowel ICGFA were generated for all cases.

Conclusions

By benchmarking to the patient’s own baseline perfusion, this novel QICGFA method could allow the deployment of algorithmic personalised NIR bowel transection point recommendation in a way fitting existing clinical workflow.

See here for the full paper.