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The Apparent Diffusion Coefficient (ADC) is a useful biomarker in predicting metastatic colon cancer using the ADC-value of the primary tumor

PURPOSE: To investigate the role of the apparent diffusion coefficient (ADC) as a potential imaging biomarker to predict metastasis (lymph node metastasis and distant metastasis) in colon cancer based on the ADC-value of the primary tumor. METHODS: Thirty patients (21M, 9F) were included retrospecti...

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Autores principales: Nerad, Elias, Delli Pizzi, Andrea, Lambregts, Doenja M. J., Maas, Monique, Wadhwani, Sharan, Bakers, Frans C. H., van den Bosch, Harrie C. M., Beets-Tan, Regina G. H., Lahaye, Max J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6363286/
https://www.ncbi.nlm.nih.gov/pubmed/30721268
http://dx.doi.org/10.1371/journal.pone.0211830
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author Nerad, Elias
Delli Pizzi, Andrea
Lambregts, Doenja M. J.
Maas, Monique
Wadhwani, Sharan
Bakers, Frans C. H.
van den Bosch, Harrie C. M.
Beets-Tan, Regina G. H.
Lahaye, Max J.
author_facet Nerad, Elias
Delli Pizzi, Andrea
Lambregts, Doenja M. J.
Maas, Monique
Wadhwani, Sharan
Bakers, Frans C. H.
van den Bosch, Harrie C. M.
Beets-Tan, Regina G. H.
Lahaye, Max J.
author_sort Nerad, Elias
collection PubMed
description PURPOSE: To investigate the role of the apparent diffusion coefficient (ADC) as a potential imaging biomarker to predict metastasis (lymph node metastasis and distant metastasis) in colon cancer based on the ADC-value of the primary tumor. METHODS: Thirty patients (21M, 9F) were included retrospectively. All patients received a 1.5T MRI of the colon including T2 and DWI sequences. ADC maps were calculated for each patient. An expert reader manually delineated all colon tumors to measure mean ADC and histogram metrics (mean, min, max, median, standard deviation (SD), skewness, kurtosis, 5th-95th percentiles) were calculated. Advanced colon cancer was defined as lymph node mestastasis (N+) or distant metastasis (M+). The student Mann Whitney U-test was used to assess the differences between the ADC means of early and advanced colon cancer. To compare the accuracy of lymph node metastasis (N+) prediction based on morpholigical criteria versus ADC-value of the primary tumor, two blinded readers, determined the lymph node metastasis (N0 vs N+) based on morphological criteria. The sensitivity and specificity in predicting lymph node metastasis was calculated for both readers and for the ADC-value of the primary tumor, with histopathology results as the gold standard. RESULTS: There was a significant difference between the mean ADC-value of advanced versus early tumors (p = 0.002). The optimal cut off value was 1179 * 10(−3) mm2/s with an area under the curve (AUC) of 0.83 and a sensitivity and specificity of 81% and 86% respectively to predict advanced tumors. Histogram analyses did not add any significant additional value. The sensitivity and specificity for the prediction of lymph node metastasis based on morphological criteria were 40% and 63% for reader 1 and 30% and 88% for reader 2 respectively. The primary tumor ADC-value using 1.179 * 10(−3) mm2/s as threshold had a 100% sensitivity and specificity in predicting lymph node metastasis. CONCLUSION: The ADC-value of the primary tumor has the potential to predict advanced colon cancer, defined as lymph node metastasis or distant metastasis, with lower ADC values significantly associated with advanced tumors. Furthermore the ADC-value of the primary tumor increases the prediction accuracy of lymph node metastasis compared with morphological criteria.
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spelling pubmed-63632862019-02-15 The Apparent Diffusion Coefficient (ADC) is a useful biomarker in predicting metastatic colon cancer using the ADC-value of the primary tumor Nerad, Elias Delli Pizzi, Andrea Lambregts, Doenja M. J. Maas, Monique Wadhwani, Sharan Bakers, Frans C. H. van den Bosch, Harrie C. M. Beets-Tan, Regina G. H. Lahaye, Max J. PLoS One Research Article PURPOSE: To investigate the role of the apparent diffusion coefficient (ADC) as a potential imaging biomarker to predict metastasis (lymph node metastasis and distant metastasis) in colon cancer based on the ADC-value of the primary tumor. METHODS: Thirty patients (21M, 9F) were included retrospectively. All patients received a 1.5T MRI of the colon including T2 and DWI sequences. ADC maps were calculated for each patient. An expert reader manually delineated all colon tumors to measure mean ADC and histogram metrics (mean, min, max, median, standard deviation (SD), skewness, kurtosis, 5th-95th percentiles) were calculated. Advanced colon cancer was defined as lymph node mestastasis (N+) or distant metastasis (M+). The student Mann Whitney U-test was used to assess the differences between the ADC means of early and advanced colon cancer. To compare the accuracy of lymph node metastasis (N+) prediction based on morpholigical criteria versus ADC-value of the primary tumor, two blinded readers, determined the lymph node metastasis (N0 vs N+) based on morphological criteria. The sensitivity and specificity in predicting lymph node metastasis was calculated for both readers and for the ADC-value of the primary tumor, with histopathology results as the gold standard. RESULTS: There was a significant difference between the mean ADC-value of advanced versus early tumors (p = 0.002). The optimal cut off value was 1179 * 10(−3) mm2/s with an area under the curve (AUC) of 0.83 and a sensitivity and specificity of 81% and 86% respectively to predict advanced tumors. Histogram analyses did not add any significant additional value. The sensitivity and specificity for the prediction of lymph node metastasis based on morphological criteria were 40% and 63% for reader 1 and 30% and 88% for reader 2 respectively. The primary tumor ADC-value using 1.179 * 10(−3) mm2/s as threshold had a 100% sensitivity and specificity in predicting lymph node metastasis. CONCLUSION: The ADC-value of the primary tumor has the potential to predict advanced colon cancer, defined as lymph node metastasis or distant metastasis, with lower ADC values significantly associated with advanced tumors. Furthermore the ADC-value of the primary tumor increases the prediction accuracy of lymph node metastasis compared with morphological criteria. Public Library of Science 2019-02-05 /pmc/articles/PMC6363286/ /pubmed/30721268 http://dx.doi.org/10.1371/journal.pone.0211830 Text en © 2019 Nerad et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Nerad, Elias
Delli Pizzi, Andrea
Lambregts, Doenja M. J.
Maas, Monique
Wadhwani, Sharan
Bakers, Frans C. H.
van den Bosch, Harrie C. M.
Beets-Tan, Regina G. H.
Lahaye, Max J.
The Apparent Diffusion Coefficient (ADC) is a useful biomarker in predicting metastatic colon cancer using the ADC-value of the primary tumor
title The Apparent Diffusion Coefficient (ADC) is a useful biomarker in predicting metastatic colon cancer using the ADC-value of the primary tumor
title_full The Apparent Diffusion Coefficient (ADC) is a useful biomarker in predicting metastatic colon cancer using the ADC-value of the primary tumor
title_fullStr The Apparent Diffusion Coefficient (ADC) is a useful biomarker in predicting metastatic colon cancer using the ADC-value of the primary tumor
title_full_unstemmed The Apparent Diffusion Coefficient (ADC) is a useful biomarker in predicting metastatic colon cancer using the ADC-value of the primary tumor
title_short The Apparent Diffusion Coefficient (ADC) is a useful biomarker in predicting metastatic colon cancer using the ADC-value of the primary tumor
title_sort apparent diffusion coefficient (adc) is a useful biomarker in predicting metastatic colon cancer using the adc-value of the primary tumor
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6363286/
https://www.ncbi.nlm.nih.gov/pubmed/30721268
http://dx.doi.org/10.1371/journal.pone.0211830
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