Pancreatic Neuroendocrine Tumors: Correlation Between Histogram Analysis of Apparent Diffusion Coefficient Maps and Tumor Grade
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.17/2640 |
Resumo: | PURPOSE: To explore the role of histogram analysis of apparent diffusion coefficient (ADC) MRI maps based on entire tumor volume data in determining pancreatic neuroendocrine tumor (PNT) grade. METHODS AND MATERIALS: Retrospective evaluation of 22 patients with PNTs included low-grade (G1; n = 15), intermediate-grade (G2; n = 4), and high-grade (G3; n = 3) tumors. Regions of interest containing the lesion were drawn on every section of the ADC map containing the tumor and summated to obtain histograms for entire tumor volume. Calculated histographic parameters included mean ADC (mADC), 5th percentile ADC, 10th percentile ADC, 25th percentile ADC, 50th percentile ADC, 75th percentile ADC (ADC75), 90th percentile ADC (ADC90) and 95th percentile ADC (ADC95), skewness and kurtosis. Histogram parameters were correlated with tumor grade by repeated measures analysis of variance with Tukey-Kramer post hoc comparisons. RESULTS: The mADC, ADC75, ADC90, and ADC95 were significantly higher in G1 tumors (1283 ± 267; 1404 ± 300; 1495 ± 318; 1562 ± 347 × 10(-6) mm(2)/s) compared to G2 (892 ± 390; 952 ± 381; 1036 ± 384; 1072 ± 374 × 10(-6) mm(2)/s) and to G3 tumors (733 ± 225; 864 ± 284; 1008 ± 288; 1152 ± 192 × 10(-6) mm(2)/s) (p value <0.05). Skewness and kurtosis were significantly different between G1 (0.041 ± 0.466; 2.802 ± 0.679) and G3 (1.01 ± 1.140; 5.963 ± 4.008) tumors (p value <0.05). Tumor volume (mL) was significantly higher on G3 (55 ± 15.7) compared to G1 (1.9 ± 2.7) and G2 (4.5 ± 3.6) tumors (p value <0.05). In this small sample size, we did not detect statistically significant parameters between G2 (n = 4) and G3 (n = 3) tumors. CONCLUSIONS: Histographic analysis of ADC maps on the basis of the entire tumor volume can be useful in differentiating histologic grades of PNTs. |
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Pancreatic Neuroendocrine Tumors: Correlation Between Histogram Analysis of Apparent Diffusion Coefficient Maps and Tumor GradeAdultAgedCarcinoma, NeuroendocrineFemaleHumansImage Interpretation, Computer-AssistedMaleMiddle AgedNeoplasm GradingPancreasPancreatic NeoplasmsReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityMagnetic Resonance ImagingCHLC IMAPURPOSE: To explore the role of histogram analysis of apparent diffusion coefficient (ADC) MRI maps based on entire tumor volume data in determining pancreatic neuroendocrine tumor (PNT) grade. METHODS AND MATERIALS: Retrospective evaluation of 22 patients with PNTs included low-grade (G1; n = 15), intermediate-grade (G2; n = 4), and high-grade (G3; n = 3) tumors. Regions of interest containing the lesion were drawn on every section of the ADC map containing the tumor and summated to obtain histograms for entire tumor volume. Calculated histographic parameters included mean ADC (mADC), 5th percentile ADC, 10th percentile ADC, 25th percentile ADC, 50th percentile ADC, 75th percentile ADC (ADC75), 90th percentile ADC (ADC90) and 95th percentile ADC (ADC95), skewness and kurtosis. Histogram parameters were correlated with tumor grade by repeated measures analysis of variance with Tukey-Kramer post hoc comparisons. RESULTS: The mADC, ADC75, ADC90, and ADC95 were significantly higher in G1 tumors (1283 ± 267; 1404 ± 300; 1495 ± 318; 1562 ± 347 × 10(-6) mm(2)/s) compared to G2 (892 ± 390; 952 ± 381; 1036 ± 384; 1072 ± 374 × 10(-6) mm(2)/s) and to G3 tumors (733 ± 225; 864 ± 284; 1008 ± 288; 1152 ± 192 × 10(-6) mm(2)/s) (p value <0.05). Skewness and kurtosis were significantly different between G1 (0.041 ± 0.466; 2.802 ± 0.679) and G3 (1.01 ± 1.140; 5.963 ± 4.008) tumors (p value <0.05). Tumor volume (mL) was significantly higher on G3 (55 ± 15.7) compared to G1 (1.9 ± 2.7) and G2 (4.5 ± 3.6) tumors (p value <0.05). In this small sample size, we did not detect statistically significant parameters between G2 (n = 4) and G3 (n = 3) tumors. CONCLUSIONS: Histographic analysis of ADC maps on the basis of the entire tumor volume can be useful in differentiating histologic grades of PNTs.Springer VerlagRepositório do Centro Hospitalar Universitário de Lisboa Central, EPESousa Pereira, JARosado, EBali, MMetens, TChao, SL2017-03-22T13:05:24Z2015-102015-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.17/2640engAbdom Imaging. 2015 Oct;40(8):3122-810.1007/s00261-015-0524-7info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-10T09:38:49Zoai:repositorio.chlc.min-saude.pt:10400.17/2640Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:19:58.970135Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Pancreatic Neuroendocrine Tumors: Correlation Between Histogram Analysis of Apparent Diffusion Coefficient Maps and Tumor Grade |
title |
Pancreatic Neuroendocrine Tumors: Correlation Between Histogram Analysis of Apparent Diffusion Coefficient Maps and Tumor Grade |
spellingShingle |
Pancreatic Neuroendocrine Tumors: Correlation Between Histogram Analysis of Apparent Diffusion Coefficient Maps and Tumor Grade Sousa Pereira, JA Adult Aged Carcinoma, Neuroendocrine Female Humans Image Interpretation, Computer-Assisted Male Middle Aged Neoplasm Grading Pancreas Pancreatic Neoplasms Reproducibility of Results Retrospective Studies Sensitivity and Specificity Magnetic Resonance Imaging CHLC IMA |
title_short |
Pancreatic Neuroendocrine Tumors: Correlation Between Histogram Analysis of Apparent Diffusion Coefficient Maps and Tumor Grade |
title_full |
Pancreatic Neuroendocrine Tumors: Correlation Between Histogram Analysis of Apparent Diffusion Coefficient Maps and Tumor Grade |
title_fullStr |
Pancreatic Neuroendocrine Tumors: Correlation Between Histogram Analysis of Apparent Diffusion Coefficient Maps and Tumor Grade |
title_full_unstemmed |
Pancreatic Neuroendocrine Tumors: Correlation Between Histogram Analysis of Apparent Diffusion Coefficient Maps and Tumor Grade |
title_sort |
Pancreatic Neuroendocrine Tumors: Correlation Between Histogram Analysis of Apparent Diffusion Coefficient Maps and Tumor Grade |
author |
Sousa Pereira, JA |
author_facet |
Sousa Pereira, JA Rosado, E Bali, M Metens, T Chao, SL |
author_role |
author |
author2 |
Rosado, E Bali, M Metens, T Chao, SL |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório do Centro Hospitalar Universitário de Lisboa Central, EPE |
dc.contributor.author.fl_str_mv |
Sousa Pereira, JA Rosado, E Bali, M Metens, T Chao, SL |
dc.subject.por.fl_str_mv |
Adult Aged Carcinoma, Neuroendocrine Female Humans Image Interpretation, Computer-Assisted Male Middle Aged Neoplasm Grading Pancreas Pancreatic Neoplasms Reproducibility of Results Retrospective Studies Sensitivity and Specificity Magnetic Resonance Imaging CHLC IMA |
topic |
Adult Aged Carcinoma, Neuroendocrine Female Humans Image Interpretation, Computer-Assisted Male Middle Aged Neoplasm Grading Pancreas Pancreatic Neoplasms Reproducibility of Results Retrospective Studies Sensitivity and Specificity Magnetic Resonance Imaging CHLC IMA |
description |
PURPOSE: To explore the role of histogram analysis of apparent diffusion coefficient (ADC) MRI maps based on entire tumor volume data in determining pancreatic neuroendocrine tumor (PNT) grade. METHODS AND MATERIALS: Retrospective evaluation of 22 patients with PNTs included low-grade (G1; n = 15), intermediate-grade (G2; n = 4), and high-grade (G3; n = 3) tumors. Regions of interest containing the lesion were drawn on every section of the ADC map containing the tumor and summated to obtain histograms for entire tumor volume. Calculated histographic parameters included mean ADC (mADC), 5th percentile ADC, 10th percentile ADC, 25th percentile ADC, 50th percentile ADC, 75th percentile ADC (ADC75), 90th percentile ADC (ADC90) and 95th percentile ADC (ADC95), skewness and kurtosis. Histogram parameters were correlated with tumor grade by repeated measures analysis of variance with Tukey-Kramer post hoc comparisons. RESULTS: The mADC, ADC75, ADC90, and ADC95 were significantly higher in G1 tumors (1283 ± 267; 1404 ± 300; 1495 ± 318; 1562 ± 347 × 10(-6) mm(2)/s) compared to G2 (892 ± 390; 952 ± 381; 1036 ± 384; 1072 ± 374 × 10(-6) mm(2)/s) and to G3 tumors (733 ± 225; 864 ± 284; 1008 ± 288; 1152 ± 192 × 10(-6) mm(2)/s) (p value <0.05). Skewness and kurtosis were significantly different between G1 (0.041 ± 0.466; 2.802 ± 0.679) and G3 (1.01 ± 1.140; 5.963 ± 4.008) tumors (p value <0.05). Tumor volume (mL) was significantly higher on G3 (55 ± 15.7) compared to G1 (1.9 ± 2.7) and G2 (4.5 ± 3.6) tumors (p value <0.05). In this small sample size, we did not detect statistically significant parameters between G2 (n = 4) and G3 (n = 3) tumors. CONCLUSIONS: Histographic analysis of ADC maps on the basis of the entire tumor volume can be useful in differentiating histologic grades of PNTs. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-10 2015-10-01T00:00:00Z 2017-03-22T13:05:24Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.17/2640 |
url |
http://hdl.handle.net/10400.17/2640 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Abdom Imaging. 2015 Oct;40(8):3122-8 10.1007/s00261-015-0524-7 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer Verlag |
publisher.none.fl_str_mv |
Springer Verlag |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799131296208781312 |