Goto Shintaro, Seino Hiroko, Yoshizawa Tadashi, Morohashi Satoko, Ishido Keinosuke, Hakamada Kenichi, Kijima Hiroshi
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.
Oncol Lett. 2021 Apr;21(4):276. doi: 10.3892/ol.2021.12537. Epub 2021 Feb 10.
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.
胰腺导管腺癌（PDAC）的特征是呈浸润性生长模式，伴有由癌症相关成纤维细胞（CAF）组成的致密促纤维增生性基质。此外，组织学特征被认为在PDAC的不良预后中起着至关重要的作用。然而，癌细胞密度、促纤维增生程度和血管增殖在个体病例中有所不同。我们推测术前放射影像会反映组织学特征，如癌细胞密度、CAF密度和微血管密度。为了阐明PDAC组织学特征与放射影像之间的关联，我们通过免疫染色测量了手术标本中的癌细胞密度、CAF密度和微血管密度，并分析了动态对比增强计算机断层扫描（CECT）的时间密度曲线。总体而言，非增强期与动脉期之间的初始斜率与微血管密度相关，动脉期与门静脉期之间的第二个斜率与CAF和癌细胞密度相关。总之，本研究提示了使用动态CECT的时间密度曲线估计癌细胞、CAF和微血管密度的可能性。
