2020
DOI: 10.3389/fphys.2020.533101
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Metastasis Initiation Precedes Detection of Primary Cancer—Analysis of Metastasis Growth in vivo in a Colorectal Cancer Test Case

Abstract: Most cases of deaths from colorectal cancer (CRC) result from metastases, which are often still undetectable at disease detection time. Even so, in many cases, shedding is assumed to have taken place before that time. The dynamics of metastasis formation and growth are not well-established. This work aims to explore CRC lung metastasis growth rate and dynamics. We analyzed a test case of a metastatic CRC patient with four lung metastases, with data of four serial computed tomography (CT) scans measuring metast… Show more

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Cited by 4 publications
(4 citation statements)
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“…Early identification of metastatic lesions is crucial for prompt and effective treatment, as it can significantly impact patient outcomes ( 47 ). However, conventional imaging techniques such as computed tomography (CT) scans have limitations in detecting small metastases ( 48 , 49 ). In this study, we proposed a personalized biophysical-based bioclinical mathematical model that accepts a patient's 3D CT image and produces a 3D heatmap of the probability a metastasis would develop in each region of the lungs.…”
Section: Discussionmentioning
confidence: 99%
“…Early identification of metastatic lesions is crucial for prompt and effective treatment, as it can significantly impact patient outcomes ( 47 ). However, conventional imaging techniques such as computed tomography (CT) scans have limitations in detecting small metastases ( 48 , 49 ). In this study, we proposed a personalized biophysical-based bioclinical mathematical model that accepts a patient's 3D CT image and produces a 3D heatmap of the probability a metastasis would develop in each region of the lungs.…”
Section: Discussionmentioning
confidence: 99%
“…Early identification of metastatic lesions is crucial for prompt and effective treatment, as it can significantly impact patient outcomes [46]. However, conventional imaging techniques such as computed tomography (CT) scans have limitations in detecting small metastases [47]. In this study, we proposed a personalized biophysical-based bioclinical mathematical model that accepts a patient's 3D CT image and produces a 3D heatmap of the probability a metastasis would develop in each region of the lungs.…”
Section: Discussionmentioning
confidence: 99%
“…When a substance is present in the body, it interacts with the immune system and the tumour itself. Thereafter, part of the substance is absorbed by the body and other parts are passed from the body [29] , [30] , [31] ; this occurs gradually and is considerably slower than the initial process. In this case, a function must be constructed such that up to a point , it increases rapidly, beyond which it decreases more slowly and continuously, and is derivative at point .…”
Section: Mathematical Modelmentioning
confidence: 99%
“…From theoretical research to experimental investigations, scientists from all fields worldwide are searching for a solution to this disease [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] , [30] , [31] , [32] , [33] , [34] , [35] , [36] , [37] , [38] , and this solution can originate from several sources. Medical doctors, scientists such as biological physicists, and mathematicians are involved in cancer research…”
Section: Introductionmentioning
confidence: 99%