Abstract
New quantitative prognostic markers are needed for improved pancreatic ductal adenocarcinoma (PDAC) prognosis. Second harmonic generation microscopy has been used to show that collagen fiber alignment in PDAC is a negative prognostic factor. In this work, a series of PDAC and normal adjacent tissue (NAT) biopsies were imaged with spatial light interference microscopy (SLIM). Quantitative analysis performed on the biopsy SLIM images show that PDAC fiber structures have lower alignment per unit length, narrower width, and are longer than NAT controls. Importantly, fibrillar collagen in PDAC shows an inverse relationship between survival data and fiber width and length (p < 0.05).
Highlights
Pancreatic cancer is the 12th most common malignancy and the seventh and eighth cause of cancer-related death in men and women, respectively [1]
To explore how filament structures relate to malignant characterization, we applied the fiber tracking algorithm on both pancreatic ductal adenocarcinoma (PDAC) and corresponding normal adjacent tissue (NAT) cores
Using a spatial light interference microscopy (SLIM)-based automated procedure, we show that PDAC cores differ sharply from NAT in terms of segmented properties, including alignment per length, width, length and straightness, enabling rapid and automated diagnostic stratifying potential
Summary
Pancreatic cancer is the 12th most common malignancy and the seventh and eighth cause of cancer-related death in men and women, respectively [1]. 85% of pancreatic malignancies are classified as ductal adenocarcinomas. Endoscopic ultrasound - guided fine-needle aspiration biopsy is a reliable technique for classifying tissue of suspected PDAC patients [7,8], though it can produce false negative results [9]. More than 75% of PDAC patients have a survival period of less than 5 years. This poor outcome is due to residual lesions left behind by surgery or new metastasis sites, which lead to relapse [13,14,15,16]
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