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Proving of a Mathematical Model of Cell Calculation Based on Apparent Diffusion Coefficient

OBJECTIVES: Recently, Atuegwu et al. proposed a mathematical model based on ADC(mean) and ADC(min) to calculation of cellularity. Our purpose was to compare the calculated cellularity according to the formula with the estimated cell count by histopathology in different tumors. METHODS: For this stud...

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Detalles Bibliográficos
Autores principales: Surov, Alexey, Garnov, Nikita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5577394/
https://www.ncbi.nlm.nih.gov/pubmed/28863287
http://dx.doi.org/10.1016/j.tranon.2017.08.001
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author Surov, Alexey
Garnov, Nikita
author_facet Surov, Alexey
Garnov, Nikita
author_sort Surov, Alexey
collection PubMed
description OBJECTIVES: Recently, Atuegwu et al. proposed a mathematical model based on ADC(mean) and ADC(min) to calculation of cellularity. Our purpose was to compare the calculated cellularity according to the formula with the estimated cell count by histopathology in different tumors. METHODS: For this study, we re-analyzed our previous data regarding associations between ADC parameters and histopathological findings. Overall, 134 patients with different tumors were acquired for the analysis. For all tumors, the number of tumor cells was calculated according to Atuegwu et al. 2013. We performed a correlation analysis between the calculated and estimated cellularity. Thereby, Pearson's correlation coefficient was used and P < .05 was taken to indicate statistical significance in all instances. RESULTS: The estimated and calculated cellularity correlated well together in HNSCC (r = 0.701, P = .016) and lymphomas (r = 0.661, P = .001), and moderately in rectal cancer (r = 0.510, P = .036). There were no statistically significant correlations between the estimated and calculated cellularity in uterine cervical cancer, meningiomas, and in thyroid cancer. CONCLUSION: The proposed formula for cellularity calculation does not apply for all tumors. It may be used for HNSCC, cerebral lymphomas and rectal cancer, but not for uterine cervical cancer, meningioma, and thyroid cancer. Furthermore, its usefulness should be proved for other tumors.
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spelling pubmed-55773942017-09-06 Proving of a Mathematical Model of Cell Calculation Based on Apparent Diffusion Coefficient Surov, Alexey Garnov, Nikita Transl Oncol Original article OBJECTIVES: Recently, Atuegwu et al. proposed a mathematical model based on ADC(mean) and ADC(min) to calculation of cellularity. Our purpose was to compare the calculated cellularity according to the formula with the estimated cell count by histopathology in different tumors. METHODS: For this study, we re-analyzed our previous data regarding associations between ADC parameters and histopathological findings. Overall, 134 patients with different tumors were acquired for the analysis. For all tumors, the number of tumor cells was calculated according to Atuegwu et al. 2013. We performed a correlation analysis between the calculated and estimated cellularity. Thereby, Pearson's correlation coefficient was used and P < .05 was taken to indicate statistical significance in all instances. RESULTS: The estimated and calculated cellularity correlated well together in HNSCC (r = 0.701, P = .016) and lymphomas (r = 0.661, P = .001), and moderately in rectal cancer (r = 0.510, P = .036). There were no statistically significant correlations between the estimated and calculated cellularity in uterine cervical cancer, meningiomas, and in thyroid cancer. CONCLUSION: The proposed formula for cellularity calculation does not apply for all tumors. It may be used for HNSCC, cerebral lymphomas and rectal cancer, but not for uterine cervical cancer, meningioma, and thyroid cancer. Furthermore, its usefulness should be proved for other tumors. Neoplasia Press 2017-08-29 /pmc/articles/PMC5577394/ /pubmed/28863287 http://dx.doi.org/10.1016/j.tranon.2017.08.001 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original article
Surov, Alexey
Garnov, Nikita
Proving of a Mathematical Model of Cell Calculation Based on Apparent Diffusion Coefficient
title Proving of a Mathematical Model of Cell Calculation Based on Apparent Diffusion Coefficient
title_full Proving of a Mathematical Model of Cell Calculation Based on Apparent Diffusion Coefficient
title_fullStr Proving of a Mathematical Model of Cell Calculation Based on Apparent Diffusion Coefficient
title_full_unstemmed Proving of a Mathematical Model of Cell Calculation Based on Apparent Diffusion Coefficient
title_short Proving of a Mathematical Model of Cell Calculation Based on Apparent Diffusion Coefficient
title_sort proving of a mathematical model of cell calculation based on apparent diffusion coefficient
topic Original article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5577394/
https://www.ncbi.nlm.nih.gov/pubmed/28863287
http://dx.doi.org/10.1016/j.tranon.2017.08.001
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