This is a retrospective, monocentric study involving 50 patients with pancreatic neuroendocrine neoplasia resected between January 2008 and June 2020 at Paoli Calmettes Institute. The primary objective of the study is to evaluate the grade concordance rate, based on Ki67 obtained on the pre-operative micro-biopsy and the surgical specimen. Based on the histology slides obtained in the course of the treatment, several Ki67 recounts will be performed on pre-operative tumor micro-biopsies and on tumors resected after surgery: * a manual count (on photo printed in the hotspot area according to World Health Organization (WHO) 2017 recommendations, by an expert pathologist and a junior pathologist. * Automated counting using specific software based on artificial intelligence (Qpath software). On the other hand, clinical, surgical and anatomopathological data will be collected in order to follow the patient evolution.
Study Type
OBSERVATIONAL
Enrollment
50
Ki67 Grade
Evaluation by a pathologist by manual counting according to WHO 2017 recommendations
Time frame: on pre-operative micro-biopsies
Ki67 Grade
Evaluation by a pathologist by manual counting according to WHO 2017 recommendations
Time frame: on surgical specimens
Percentage of Ki67 positive cells on total counted cells
Evaluation by a pathologist by manual counting according to WHO 2017 recommendations
Time frame: on preoperative micro-biopsies
Percentage of Ki67 positive cells on total counted cells
Evaluation by a pathologist by manual counting according to WHO 2017 recommendations
Time frame: on surgical specimens
Percentage of Ki67 positive cells on total counted cells
Evaluation by digital pathology before and after machine learning
Time frame: on preoperative micro-biopsies
Percentage of Ki67 positive cells on total counted cells
Evaluation by digital pathology before and after machine learning
Time frame: on surgical specimens
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