Imaging prediction of islet yield and post-operative insulin requirement in children undergoing total pancreatectomy with islet autotransplantation

Implementation of a nationwide program for total pancreatectomy and islet autotransplantation in chronic pancreatitis: A Scandinavian single-center observational study

BACKGROUND

Tailoring surgical treatment is mandatory to optimize outcomes in chronic pancreatitis. Total pancreatectomy (TP) offers pain relief in a subset of patients. TP with islet autotransplantation (IAT) has the potential to reduce the burden of postsurgical diabetes. We present the first Scandinavian prospective study assessing outcomes following total pancreatectomy and islet autotransplantation (TPIAT) in chronic pancreatitis. Our aim was to assess short- and long-term outcomes following implementation of a nationwide program of TPIAT at a tertiary reference center for pancreatic surgery in Norway.

METHODS

A prospective, observational single-center study enrolling consecutive patients undergoing TPIAT for chronic pancreatitis at Oslo University Hospital. The selection of potential candidates for TPIAT was based on discussions at multidisciplinary team (MDT) meetings, focusing on tailored surgery in chronic pancreatitis. Patients were finally evaluated in a dedicated TPIAT team. The outcome measures included pain relief, quality of life (QoL) assessed by EORTC QLQ-C30, complications, and glycemic control.

RESULTS

Between August 2017 and November 2022, 15 patients underwent TPIAT. The follow-up rate was 87% with a median follow-up of 26 months (range = 14-65). Pain relief was achieved in 92%. EORTC QLQ-C30 analysis revealed clinically significant improvements in 28 of 30 domains, particularly in pain and role- and social-functioning. The Clavien-Dindo ≥IIIa complications occurred in one patient. There was no 90 days mortality. All patients maintained C-peptide positivity, although none of the patients reached insulin independence.

CONCLUSION

TPIAT was as a safe and effective treatment for a selected group of patients with chronic pancreatitis, providing substantial pain relief and enhanced QoL. Islet autotransplantation prevented complete insulin deficiency, reducing diabetes severity postpancreatectomy. Dedicated chronic pancreatitis MDT meetings were key factor in the success of the program.

Predicting endocrine function after total pancreatectomy and islet cell autotransplantation: A novel approach utilizing computed tomography texture analysis

BACKGROUND

Islet cell autotransplantation is an effective method to prevent morbidity associated with type IIIc diabetes after total pancreatectomy. However, there is no valid method to predict long-term endocrine function. Our aim was to assess computed tomography texture analysis as a strategy to predict long-term endocrine function after total pancreatectomy and islet cell autotransplantation.

METHODS

All patients undergoing total pancreatectomy and islet cell autotransplantation from 2007 to 2020 who had high-quality preoperative computed tomography imaging available for texture analysis were included. The primary outcome was optimal long-term endocrine function, defined as stable glycemic control with <10 units of insulin/day.

RESULTS

Sixty-three patients met inclusion criteria. Median yield was 6,111 islet equivalent/kg body weight. At a median follow-up of 64.2 months, 12.7% (n = 8) of patients were insulin independent and 39.7% (n = 25) demonstrated optimal endocrine function. Neither total islet equivalent nor islet equivalent/kg body weight alone were associated with optimal endocrine function. To improve endocrine function prediction, computed tomography texture analysis parameters were analyzed, identifying an association between kurtosis (odds ratio, 2.32; 95% confidence interval, 1.08-4.80; P = .02) and optimal endocrine function. Sensitivity analysis discovered a cutoff for kurtosis = 0.60, with optimal endocrine function seen in 66.7% with kurtosis ≥0.60, compared with only 26.2% with kurtosis <0.60 (P < .01). On multivariate logistic regression including islet equivalent yield, only kurtosis ≥0.60 (odds ratio, 5.61; 95% confidence interval, 1.56-20.19; P = .01) and fewer small islet equivalent (odds ratio, 1.00; 95% confidence interval, 1.00-1.00; P = .02) were associated with optimal endocrine function, with the whole model demonstrating excellent prediction of long-term endocrine function (area under the curve, 0.775).

CONCLUSION

Computed tomography texture analysis can provide qualitative data, that when used in combination with quantitative islet equivalent yield, can accurately predict long-term endocrine function after total pancreatectomy and islet cell autotransplantation.