Immuno-OpenPET: a novel approach for early diagnosis and image-guided surgery for small resectable pancreatic cancer

Author:

Yoshii YukieORCID,Tashima Hideaki,Iwao Yuma,Yoshida Eiji,Wakizaka Hidekatsu,Akamatsu Go,Yamaya Taiga,Matsumoto HirokiORCID,Yoshimoto Mitsuyoshi,Igarashi Chika,Hihara Fukiko,Tachibana Tomoko,Zhang Ming-Rong,Nagatsu Kotaro,Sugyo Aya,Tsuji Atsushi B.ORCID,Higashi Tatsuya

Abstract

AbstractPancreatic cancer (PC) has a poor prognosis owing to difficulties in the diagnosis of resectable PC at early stages. Several clinical studies have indicated that the detection and surgery of small resectable PC (<1 cm) can significantly improve survival; however, imaging diagnosis and accurate resection of small PC remain challenging. Here, we report the feasibility of “immuno-OpenPET” as a novel approach enabling not only early diagnosis but also image-guided surgery, using a small (<1 cm) resectable PC orthotopic xenograft mouse model. For immuno-OpenPET, we utilized our original OpenPET system, which enables high-resolution positron emission tomography (PET) imaging with depth-of-interaction detectors, as well as real-time image-guided surgery, by arranging the detectors to create an open space for surgery and accelerating the image reconstruction process by graphics processing units. For immuno-OpenPET, 64Cu-labeled anti-epidermal growth factor receptor antibody cetuximab was intraperitoneally administered into mice. It clearly identified PC tumors ≥3 mm. In contrast, neither OpenPET with intravenous-administered 64Cu-cetuximab nor intraperitoneal/intravenous-administered 18F-FDG (a traditional PET probe) could detect PC in this model. Immuno-OpenPET-guided surgery accurately resected small PC in mice and achieved significantly prolonged survival. This technology could provide a novel diagnostic and therapeutic strategy for small resectable PC to improve patient survival.

Funder

MEXT | Japan Society for the Promotion of Science

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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