3D quantitative analysis of diffusion-weighted imaging for predicting the malignant potential of intraductal papillary mucinous neoplasms of the pancreas

2021
journal article
article
2
cris.lastimport.wos2024-04-10T02:50:44Z
dc.abstract.enPurpose: To investigate the predictors of intraductal papillary mucinous neoplasms of the pancreas (IPMNs) with high-grade dysplasia, using 2-dimensional (2D) analysis and 3-dimensional (3D) volume-of-interest-based apparent diffusion coefficient (ADC) histogram analysis. Material and methods: The data of 45 patients with histopathologically confirmed IPMNs with high-grade or lowgrade dysplasia were retrospectively assessed. The 2D analysis included lesion-to-spinal cord signal intensity ratio (LSR), minimum ADC value ($ADC_{min}$), and mean ADC value ($ADC_{mean}$). The 3D analysis included the overall mean ($ADC_{overall mean}$), mean of the bottom 10th percentile ($ADC_{mean0-10}$), mean of the bottom 10-25th percentile ($ADC_{mean10-25}$), mean of the bottom 25-50th percentile ($ADC_{mean25-50}$), skewness ($ADC_{skewness}$), kurtosis ($ADC_{kurtosis}$), and entropy ($ADC_{entropy}$). Diagnostic performance was compared by analysing the area under the receiver operating characteristic curve (AUC). Inter-rater reliability was assessed by blinded evaluation using the intraclass correlation coefficient. Results: There were 16 and 29 IPMNs with high- and low-grade dysplasia, respectively. The LSR, $ADC_{overall mean}$, $ADC_{mean0-10}$, $ADC_{mean10-25}$, $ADC_{mean25-50}$, and $ADC_{entropy}$ showed significant between-group differences (AUC = 72-93%; p < 0.05). Inter-rater reliability assessment showed almost perfect agreement for LSR and substantial agreement for $ADC_{overall mean}$ and $ADC_{entropy}$. Multivariate logistic regression showed that $ADC_{overall mean}$ and $ADC_{entropy}$ were significant independent predictors of malignancy (p < 0.05), with diagnostic accuracies of 80% and 73%, respectively. Conclusion: $ADC_{overall mean}$ and $ADC_{entropy}$ from 3D analysis may assist in predicting IPMNs with high-grade dysplasia.pl
dc.contributor.authorIgarashi, Takaopl
dc.contributor.authorShiraishi, Megumipl
dc.contributor.authorWatanabe, Kenpl
dc.contributor.authorOhki, Kazuyoshipl
dc.contributor.authorTakenaga, Shinsukepl
dc.contributor.authorAshida, Hirokazupl
dc.contributor.authorOjiri, Hiroyapl
dc.date.accessioned2021-05-31T14:30:40Z
dc.date.available2021-05-31T14:30:40Z
dc.date.issued2021pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalBibliogr. s. e307-e308pl
dc.description.physicale298-e308pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume86pl
dc.identifier.doi10.5114/pjr.2021.106427pl
dc.identifier.eissn1899-0967pl
dc.identifier.issn1733-134Xpl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/271992
dc.languageengpl
dc.language.containerengpl
dc.rightsUdzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa*
dc.rights.licenceCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl*
dc.share.typeotwarte czasopismo
dc.subject.endiffusion magnetic resonance imagingpl
dc.subject.enmucinous carcinomapl
dc.subject.enpancreatic ductpl
dc.subject.enpancreatic intraductal neoplasmspl
dc.subtypeArticlepl
dc.title3D quantitative analysis of diffusion-weighted imaging for predicting the malignant potential of intraductal papillary mucinous neoplasms of the pancreaspl
dc.title.journalPolish Journal of Radiologypl
dc.typeJournalArticlepl
dspace.entity.typePublication
cris.lastimport.wos
2024-04-10T02:50:44Z
dc.abstract.enpl
Purpose: To investigate the predictors of intraductal papillary mucinous neoplasms of the pancreas (IPMNs) with high-grade dysplasia, using 2-dimensional (2D) analysis and 3-dimensional (3D) volume-of-interest-based apparent diffusion coefficient (ADC) histogram analysis. Material and methods: The data of 45 patients with histopathologically confirmed IPMNs with high-grade or lowgrade dysplasia were retrospectively assessed. The 2D analysis included lesion-to-spinal cord signal intensity ratio (LSR), minimum ADC value ($ADC_{min}$), and mean ADC value ($ADC_{mean}$). The 3D analysis included the overall mean ($ADC_{overall mean}$), mean of the bottom 10th percentile ($ADC_{mean0-10}$), mean of the bottom 10-25th percentile ($ADC_{mean10-25}$), mean of the bottom 25-50th percentile ($ADC_{mean25-50}$), skewness ($ADC_{skewness}$), kurtosis ($ADC_{kurtosis}$), and entropy ($ADC_{entropy}$). Diagnostic performance was compared by analysing the area under the receiver operating characteristic curve (AUC). Inter-rater reliability was assessed by blinded evaluation using the intraclass correlation coefficient. Results: There were 16 and 29 IPMNs with high- and low-grade dysplasia, respectively. The LSR, $ADC_{overall mean}$, $ADC_{mean0-10}$, $ADC_{mean10-25}$, $ADC_{mean25-50}$, and $ADC_{entropy}$ showed significant between-group differences (AUC = 72-93%; p < 0.05). Inter-rater reliability assessment showed almost perfect agreement for LSR and substantial agreement for $ADC_{overall mean}$ and $ADC_{entropy}$. Multivariate logistic regression showed that $ADC_{overall mean}$ and $ADC_{entropy}$ were significant independent predictors of malignancy (p < 0.05), with diagnostic accuracies of 80% and 73%, respectively. Conclusion: $ADC_{overall mean}$ and $ADC_{entropy}$ from 3D analysis may assist in predicting IPMNs with high-grade dysplasia.
dc.contributor.authorpl
Igarashi, Takao
dc.contributor.authorpl
Shiraishi, Megumi
dc.contributor.authorpl
Watanabe, Ken
dc.contributor.authorpl
Ohki, Kazuyoshi
dc.contributor.authorpl
Takenaga, Shinsuke
dc.contributor.authorpl
Ashida, Hirokazu
dc.contributor.authorpl
Ojiri, Hiroya
dc.date.accessioned
2021-05-31T14:30:40Z
dc.date.available
2021-05-31T14:30:40Z
dc.date.issuedpl
2021
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additionalpl
Bibliogr. s. e307-e308
dc.description.physicalpl
e298-e308
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
86
dc.identifier.doipl
10.5114/pjr.2021.106427
dc.identifier.eissnpl
1899-0967
dc.identifier.issnpl
1733-134X
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/271992
dc.languagepl
eng
dc.language.containerpl
eng
dc.rights*
Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa
dc.rights.licence
CC-BY-NC-ND
dc.rights.uri*
http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl
dc.share.type
otwarte czasopismo
dc.subject.enpl
diffusion magnetic resonance imaging
dc.subject.enpl
mucinous carcinoma
dc.subject.enpl
pancreatic duct
dc.subject.enpl
pancreatic intraductal neoplasms
dc.subtypepl
Article
dc.titlepl
3D quantitative analysis of diffusion-weighted imaging for predicting the malignant potential of intraductal papillary mucinous neoplasms of the pancreas
dc.title.journalpl
Polish Journal of Radiology
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

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