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Parameters of simultaneous (18)F-FDG-PET/MRI predict tumor stage and several histopathological features in uterine cervical cancer

The purpose of this study was to analyze associations between apparent diffusion coefficient (ADC) and standardized uptake values (SUV) values and different histopathological parameters in uterine cervical cancer. 21 patients with primary uterine cervical cancer were involved into the study. All pat...

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Autores principales: Surov, Alexey, Meyer, Hans Jonas, Schob, Stefan, Höhn, Anne-Kathrin, Bremicker, Kristina, Exner, Marc, Stumpp, Patrick, Purz, Sandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5438650/
https://www.ncbi.nlm.nih.gov/pubmed/28423698
http://dx.doi.org/10.18632/oncotarget.16043
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author Surov, Alexey
Meyer, Hans Jonas
Schob, Stefan
Höhn, Anne-Kathrin
Bremicker, Kristina
Exner, Marc
Stumpp, Patrick
Purz, Sandra
author_facet Surov, Alexey
Meyer, Hans Jonas
Schob, Stefan
Höhn, Anne-Kathrin
Bremicker, Kristina
Exner, Marc
Stumpp, Patrick
Purz, Sandra
author_sort Surov, Alexey
collection PubMed
description The purpose of this study was to analyze associations between apparent diffusion coefficient (ADC) and standardized uptake values (SUV) values and different histopathological parameters in uterine cervical cancer. 21 patients with primary uterine cervical cancer were involved into the study. All patients underwent a whole body simultaneous(18)F-FDG PET/MRI. Mean and maximum SUV were noted (SUV(mean) and SUV(max)). In all tumors minimal, mean, and maximal ADC values (ADC(min), ADC(mean), and ADC(max)) were estimated. Combined parameters were calculated: SUV(max)/SUV(mean), ADC(min)/ ADC(mean), SUV(max)/ADC(min) and SUV(max)/ADC(mean). In all cases the diagnosis was confirmed histopathologically by tumor biopsy. Histological slices were stained by hematoxilin and eosin, MIB 1 monoclonal antibody, and p16. All histopathological images were digitalized and analyzed by using a ImageJ software 1.48v. The following parameters were estimated: cell count, proliferation index KI 67, total and average nucleic areas, epithelial and stromal areas. Spearman's correlation coefficient was used to analyze associations between ADC and SUV values and histological parameters. P values ≤ 0.05 were considered as statistically significant. ADC(min) and ADC(min)/ ADC(mean) were statistically significant lower in N positive tumors. KI 67 correlated statistically significant with SUV(max) (r = 0.59, p = 0.005), SUV(mean) (0.45, p = 0.04), ADC(min) (r = −0.48, p = 0.03), SUV(max)/ADC(min) (r = 0.71, p = 0.001), SUV(max)/ADC(mean) (0.75, p = 0.001). SUV(max) correlated well with epithelial area (r = 0.71, p = 0.001) and stromal areas (r = −0.71, p = 0.001). SUV values, ADC(min), SUV(max)/ADC(min) and SUV(max)/ADC(mean) correlated statistically significant with KI 67 and can be used to estimate the proliferation potential of tumors. SUV values correlated strong with epithelial area of tumor reflected metabolic active areas.
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spelling pubmed-54386502017-05-24 Parameters of simultaneous (18)F-FDG-PET/MRI predict tumor stage and several histopathological features in uterine cervical cancer Surov, Alexey Meyer, Hans Jonas Schob, Stefan Höhn, Anne-Kathrin Bremicker, Kristina Exner, Marc Stumpp, Patrick Purz, Sandra Oncotarget Research Paper The purpose of this study was to analyze associations between apparent diffusion coefficient (ADC) and standardized uptake values (SUV) values and different histopathological parameters in uterine cervical cancer. 21 patients with primary uterine cervical cancer were involved into the study. All patients underwent a whole body simultaneous(18)F-FDG PET/MRI. Mean and maximum SUV were noted (SUV(mean) and SUV(max)). In all tumors minimal, mean, and maximal ADC values (ADC(min), ADC(mean), and ADC(max)) were estimated. Combined parameters were calculated: SUV(max)/SUV(mean), ADC(min)/ ADC(mean), SUV(max)/ADC(min) and SUV(max)/ADC(mean). In all cases the diagnosis was confirmed histopathologically by tumor biopsy. Histological slices were stained by hematoxilin and eosin, MIB 1 monoclonal antibody, and p16. All histopathological images were digitalized and analyzed by using a ImageJ software 1.48v. The following parameters were estimated: cell count, proliferation index KI 67, total and average nucleic areas, epithelial and stromal areas. Spearman's correlation coefficient was used to analyze associations between ADC and SUV values and histological parameters. P values ≤ 0.05 were considered as statistically significant. ADC(min) and ADC(min)/ ADC(mean) were statistically significant lower in N positive tumors. KI 67 correlated statistically significant with SUV(max) (r = 0.59, p = 0.005), SUV(mean) (0.45, p = 0.04), ADC(min) (r = −0.48, p = 0.03), SUV(max)/ADC(min) (r = 0.71, p = 0.001), SUV(max)/ADC(mean) (0.75, p = 0.001). SUV(max) correlated well with epithelial area (r = 0.71, p = 0.001) and stromal areas (r = −0.71, p = 0.001). SUV values, ADC(min), SUV(max)/ADC(min) and SUV(max)/ADC(mean) correlated statistically significant with KI 67 and can be used to estimate the proliferation potential of tumors. SUV values correlated strong with epithelial area of tumor reflected metabolic active areas. Impact Journals LLC 2017-03-09 /pmc/articles/PMC5438650/ /pubmed/28423698 http://dx.doi.org/10.18632/oncotarget.16043 Text en Copyright: © 2017 Surov et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Surov, Alexey
Meyer, Hans Jonas
Schob, Stefan
Höhn, Anne-Kathrin
Bremicker, Kristina
Exner, Marc
Stumpp, Patrick
Purz, Sandra
Parameters of simultaneous (18)F-FDG-PET/MRI predict tumor stage and several histopathological features in uterine cervical cancer
title Parameters of simultaneous (18)F-FDG-PET/MRI predict tumor stage and several histopathological features in uterine cervical cancer
title_full Parameters of simultaneous (18)F-FDG-PET/MRI predict tumor stage and several histopathological features in uterine cervical cancer
title_fullStr Parameters of simultaneous (18)F-FDG-PET/MRI predict tumor stage and several histopathological features in uterine cervical cancer
title_full_unstemmed Parameters of simultaneous (18)F-FDG-PET/MRI predict tumor stage and several histopathological features in uterine cervical cancer
title_short Parameters of simultaneous (18)F-FDG-PET/MRI predict tumor stage and several histopathological features in uterine cervical cancer
title_sort parameters of simultaneous (18)f-fdg-pet/mri predict tumor stage and several histopathological features in uterine cervical cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5438650/
https://www.ncbi.nlm.nih.gov/pubmed/28423698
http://dx.doi.org/10.18632/oncotarget.16043
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