Autor: |
Mohamed Zaid, Dalia Elganainy, Prashant Dogra, Annie Dai, Lauren Widmann, Pearl Fernandes, Zhihui Wang, Maria J. Pelaez, Javier R. Ramirez, Aatur D. Singhi, Anil K. Dasyam, Randall E. Brand, Walter G. Park, Syed Rahmanuddin, Michael H. Rosenthal, Brian M. Wolpin, Natalia Khalaf, Ajay Goel, Daniel D. Von Hoff, Eric P. Tamm, Anirban Maitra, Vittorio Cristini, Eugene J. Koay |
Jazyk: |
angličtina |
Rok vydání: |
2020 |
Předmět: |
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Zdroj: |
Frontiers in Oncology, Vol 10 (2020) |
Druh dokumentu: |
article |
ISSN: |
2234-943X |
DOI: |
10.3389/fonc.2020.596931 |
Popis: |
BackgroundPreviously, we characterized subtypes of pancreatic ductal adenocarcinoma (PDAC) on computed-tomography (CT) scans, whereby conspicuous (high delta) PDAC tumors are more likely to have aggressive biology and poorer clinical outcomes compared to inconspicuous (low delta) tumors. Here, we hypothesized that these imaging-based subtypes would exhibit different growth-rates and distinctive metabolic effects in the period prior to PDAC diagnosis.Materials and methodsRetrospectively, we evaluated 55 patients who developed PDAC as a second primary cancer and underwent serial pre-diagnostic (T0) and diagnostic (T1) CT-scans. We scored the PDAC tumors into high and low delta on T1 and, serially, obtained the biaxial measurements of the pancreatic lesions (T0-T1). We used the Gompertz-function to model the growth-kinetics and estimate the tumor growth-rate constant (α) which was used for tumor binary classification, followed by cross-validation of the classifier accuracy. We used maximum-likelihood estimation to estimate initiation-time from a single cell (10-6 mm3) to a 10 mm3 tumor mass. Finally, we serially quantified the subcutaneous-abdominal-fat (SAF), visceral-abdominal-fat (VAF), and muscles volumes (cm3) on CT-scans, and recorded the change in blood glucose (BG) levels. T-test, likelihood-ratio, Cox proportional-hazards, and Kaplan-Meier were used for statistical analysis and p-value |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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