Shannon Harlan E, Fishel Melissa L, Xie Jingwu, Gu Dongsheng, McCarthy Brian P, Riley Amanda A, Sinn Anthony L, Silver Jayne M, Peterman Kacie, Kelley Mark R, Hanenberg Helmut, Korc Murray, Pollok Karen E, Territo Paul R
From the *Section of Pediatric Hematology/Oncology, Department of Pediatrics, Herman B Wells Center for Pediatric Research; †Department of Pharmacology and Toxicology, ‡Indiana University Simon Cancer Center (IUSCC), §Department of Biochemistry and Molecular Biology; ∥Department of Radiology and Imaging Sciences, ¶In Vivo Therapeutics Core, IUSCC, and #Department of Medicine, Indiana University School of Medicine; and **The Riley Hospital for Children, Indianapolis, IN.
Pancreas. 2015 Jan;44(1):64-75. doi: 10.1097/MPA.0000000000000238.
The purpose of the present study was to develop and validate noninvasive bioluminescence imaging methods for differentially monitoring primary and abdominal metastatic tumor growth in mouse orthotopic models of pancreatic cancer.
A semiautomated maximum entropy segmentation method was implemented for the primary tumor region of interest, and a rule-based method for manually drawing a region of interest for the abdominal metastatic region was developed for monitoring tumor growth in orthotopic models of pancreatic cancer. The 2 region-of-interest methods were validated by having 2 observers independently segment Panc-1 tumors, and the results were compared with the number of mesenteric lymph node nodules and histopathologic assessment of liver metastases. The findings were extended to orthotopic tumors of the more metastatic MIA PaCa-2 and AsPC-1 cells where separate groups of animals were implanted with different numbers of cells.
The results demonstrated that the segmentation methods were highly reliable, reproducible, and robust and allowed statistically significant discrimination in the growth rates of primary and abdominal metastatic tumors of different cell lines implanted with different numbers of cells.
The present results demonstrate that primary tumors and abdominal metastatic foci in orthotopic pancreatic cancer models can be reliably quantified separately and noninvasively over time with bioluminescence imaging.
本研究的目的是开发并验证非侵入性生物发光成像方法，用于在胰腺癌小鼠原位模型中差异监测原发性肿瘤和腹部转移性肿瘤的生长。
针对原发性肿瘤感兴趣区域实施了一种半自动最大熵分割方法，并开发了一种基于规则的方法来手动绘制腹部转移区域的感兴趣区域，以监测胰腺癌原位模型中的肿瘤生长。通过让两名观察者独立分割Panc-1肿瘤来验证这两种感兴趣区域方法，并将结果与肠系膜淋巴结结节数量和肝转移的组织病理学评估进行比较。研究结果扩展到转移性更强的MIA PaCa-2和AsPC-1细胞的原位肿瘤，将不同数量细胞植入不同组的动物体内。
结果表明，分割方法高度可靠、可重复且稳健，能够对植入不同数量细胞的不同细胞系的原发性肿瘤和腹部转移性肿瘤的生长速率进行具有统计学意义的区分。
目前的结果表明，通过生物发光成像，可以随时间分别且非侵入性地可靠量化原位胰腺癌模型中的原发性肿瘤和腹部转移灶。
