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In Vivo
Published in Margarida M. Barroso, Xavier Intes, In Vivo, 2020
David Entenberg, Maja H. Oktay, John Condeelis
Despite this paucity of direct evidence, the number of studies looking in vitro at the molecular mechanisms of collective migration and invasion is rapidly growing. As of this writing, a Pubmed search for the keywords “collective invasion AND (tumor OR cancer),” and that excludes the word “development,” results in 223 papers published in the past 5 years. In fact, only three published studies have looked at collective migration of tumor cells using intravital imaging. This includes the above mentioned studies by Giampieri et al. (2009) and Weigelin et al. (2012) and an additional study by Beerling et al. (2016) in which they “visualized the migratory behavior of primary tumor cells in a genetically engineered pancreatic cancer mouse model and found that pancreatic tumor cells migrate with a mesenchymal morphology as single individual cells or as a stream of non-cohesive single motile cells.” Thus, while there is a great deal of in vitro work on collective migration, there is a great paucity of in vivo work on collective migration, and it remains unclear if collective migration is involved in tumor cell dissemination in vivo.
Tumor Morphological Behavior and Treatment Outcome
Published in Vittorio Cristini, Eugene J. Koay, Zhihui Wang, An Introduction to Physical Oncology, 2017
These simulations suggest that tumor morphology could provide significant insight into the behavior of pancreatic cancer. Our approach has been to develop reproducible methods to characterize the tumor–pancreas interface on CT scans. One of the methods that we developed is called the delta measurement. This measurement distinguishes the change in enhancement from the pancreatic tumor to the parenchyma of the pancreas (Figure 8.2). Again, this could be interpreted to be the difference in the σ between the parenchyma and tumor. We have also worked with radiologists to visually score the conspicuity of these lesions, where a score of 4 or 5 would correspond to a highly conspicuous (high-delta) tumor, while a score of 3 or less would be an inconspicuous (low-delta) tumor. Based on our model simulations, our hypothesis was that the patients with tumors exhibiting a high delta will have more aggressive biological features and worse clinical outcomes than those with a low delta.
Normal Tissue Damage Following Photodynamic Therapy: Are There Biological Advantages?
Published in Barbara W. Henderson, Thomas J. Dougherty, Photodynamic Therapy, 2020
This difference in the response of pancreas and pancreatic tumor has been confirmed at the cellular level. Following exposure to AlPcSn and light, cultured normal pancreatic cells were stimulated to release amylase, but cultured pancreatic cancer cells (AR4–2J) demonstrated a dose-dependent inhibition of secretion [25]. It was concluded that there were important differences between effects on normal and malignant pancreatic cells, mediated by the generation of singlet oxygen, although electron microscopy did not show any gross morphological changes following PDT on the AR4–2J carcinoma cells [26].
An Improved K-Means Clustering for Segmentation of Pancreatic Tumor from CT Images
Published in IETE Journal of Research, 2021
R. Reena Roy, G. S. Anandha Mala
In clinical field, there is necessity in preserving large amount of patient’s data. Due to exponential increase in population, the amount of laboratory tests reports, radiology reports, prescription and medication have grown in vast amount. The proposed framework utilizes the CT images of pancreas to segment the pancreatic tumor if the patient is affected with Pancreatic Adenocarcinoma. PDAC CT image dataset is taken from TCIA repository [23]. A model is developed using the training datasets to automatically segment the pancreatic tumor. Early prediction of severity or staging of disease helps in continuous clinical monitoring of people, which helps in saving the lives of elder people and increase the chances of their life span.