Time density curve of dynamic contrast‑enhanced computed tomography correlates with histological characteristics of pancreatic cancer

Goto,Shintaro; Seino,Hiroko; Yoshizawa,Tadashi; Morohashi,Satoko; Ishido,Keinosuke; Hakamada,Kenichi; Kijima,Hiroshi

doi:10.3892/ol.2021.12537

Time density curve of dynamic contrast‑enhanced computed tomography correlates with histological characteristics of pancreatic cancer

Authors:
- Shintaro Goto
- Hiroko Seino
- Tadashi Yoshizawa
- Satoko Morohashi
- Keinosuke Ishido
- Kenichi Hakamada
- Hiroshi Kijima
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Affiliations: Department of Pathology and Bioscience, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori 036‑8562, Japan, Department of Radiology, Aomori National Hospital, Namioka, Aomori 038‑1331, Japan, Department of Gastroenterological Surgery, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori 036‑8562, Japan
Published online on: February 10, 2021 https://doi.org/10.3892/ol.2021.12537
Article Number: 276
Copyright: © Goto et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Pancreatic ductal adenocarcinoma (PDAC) is characterized by an infiltrative growth pattern with intense desmoplastic stroma comprised of cancer‑associated fibroblasts (CAFs). Additionally, the histological characteristics are considered to play a vital role in the poor prognosis of PDAC. However, the density of cancer cells, degree of desmoplasia and vascular proliferation varies in individual cases. We hypothesized that preoperative radiological images would reflect histological characteristics, such as cancer cell density, CAF density and microvessel density. To clarify the association between the histological characteristics and radiological images of PDAC, the cancer cell density, CAF density and microvessel density from surgical specimens were measured with immunostaining, and the time density curve of dynamic contrast‑enhanced computed tomography (CECT) was analyzed. Overall, the initial slope between non‑enhanced and arterial phases was correlated with microvessel density, and the second slope between arterial and portal phases was correlated with CAF and cancer cell densities. In conclusion, the present study suggested the possibility of estimating cancer cell, CAF and microvessel densities using the TDC of dynamic CECT.

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