Correlation of texture feature analysis with bone marrow infiltration in initial staging of patients with lymphoma using positron emission tomography combined with computed tomography

2020
journal article
article
6
cris.lastimport.wos2024-04-09T21:36:10Z
dc.abstract.enPurpose: To explore whether radiomic features of fluorine-18-fluorodeoxyglucose ($^{18}F-FDG$) positron emission tomography-computed tomography (PET/CT) has association with bone marrow infiltration (BMI) in comparison to other conventional PET metrics. Material and methods: Forty-four patients (with pathologically proven lymphoma disease) underwent staging $^{18}F-FDG PET/CT$ scan. Primary tumour was semi-automatically or manually segmented with a threshold standardised uptake value (SUV) of 3. A total of 73 features were extracted from eight different textures. Spearman correlation was used to test the correlation of features with conventional quantitative metrics such as SUV, metabolic tumour volume, and total lesion glycolysis. Specificity and sensitivity (including 95% confidence intervals [CI]) for each of the studied parameters were derived using receiver operative characteristic (ROC) curves. Univariate and multivariate analyses were used to identify independent predictors associated with BMI. Results: Correlation between conventional PET metrics and features ranged between 0.50 and 0.97 for positive correlation (33 significant association features) and ranged from -0.52 to -0.97 for inverse correlation (three significant association features) for both strong and moderate correlations. Analysis of ROC curves showed that high-intensity long-run emphasis 4 bin, high-intensity large zone emphasis 64 bin, long-run emphasis (LRE) 64 bin, large-zone emphasis 64 bin, max spectrum 8 bin, busyness 64 bin, and code similarity 32 and 64 bin were significant discriminators of BMI among other features (area under curve > 0.682, p < 0.05). Univariate analyses of texture features showed that code similarity and long-run emphasis (both 64 bin) were significant predictors of bone marrow involvement. Multivariate analyses revealed that LRE (64 bin, p = 0.031) with an odds ratio of 1.022 and 95% CI of (1.002-1.043) were independent variables for bone marrow involvement. Conclusions: $^{18}F-FDG PET/CT$ radiomic features are synergistic to visual assessment of BMI in patients diagnosed with lymphoma using $^{18}F-FDG PET/CT$. Further assessment of long-run emphasis is highly warranted.pl
dc.contributor.authorKenawy, Mahmoud A.pl
dc.contributor.authorKhalil, Magdy M.pl
dc.contributor.authorAbdelgawad, Mahmoud H.pl
dc.contributor.authorEl-Bahnasawy, H. H.pl
dc.date.accessioned2020-10-20T15:44:15Z
dc.date.available2020-10-20T15:44:15Z
dc.date.issued2020pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalBibliogr. s. e593-e594pl
dc.description.physicale586-e594pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume85pl
dc.identifier.doi10.5114/pjr.2020.99833pl
dc.identifier.eissn1899-0967pl
dc.identifier.issn1733-134Xpl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/248480
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.enbone marrowpl
dc.subject.entexture analysispl
dc.subject.en$^{18}F-FDG PET/CT$pl
dc.subject.enradiomics.pl
dc.subtypeArticlepl
dc.titleCorrelation of texture feature analysis with bone marrow infiltration in initial staging of patients with lymphoma using $^{18}F-fluorodeoxyglucose$ positron emission tomography combined with computed tomographypl
dc.title.journalPolish Journal of Radiologypl
dc.typeJournalArticlepl
dspace.entity.typePublication
cris.lastimport.wos
2024-04-09T21:36:10Z
dc.abstract.enpl
Purpose: To explore whether radiomic features of fluorine-18-fluorodeoxyglucose ($^{18}F-FDG$) positron emission tomography-computed tomography (PET/CT) has association with bone marrow infiltration (BMI) in comparison to other conventional PET metrics. Material and methods: Forty-four patients (with pathologically proven lymphoma disease) underwent staging $^{18}F-FDG PET/CT$ scan. Primary tumour was semi-automatically or manually segmented with a threshold standardised uptake value (SUV) of 3. A total of 73 features were extracted from eight different textures. Spearman correlation was used to test the correlation of features with conventional quantitative metrics such as SUV, metabolic tumour volume, and total lesion glycolysis. Specificity and sensitivity (including 95% confidence intervals [CI]) for each of the studied parameters were derived using receiver operative characteristic (ROC) curves. Univariate and multivariate analyses were used to identify independent predictors associated with BMI. Results: Correlation between conventional PET metrics and features ranged between 0.50 and 0.97 for positive correlation (33 significant association features) and ranged from -0.52 to -0.97 for inverse correlation (three significant association features) for both strong and moderate correlations. Analysis of ROC curves showed that high-intensity long-run emphasis 4 bin, high-intensity large zone emphasis 64 bin, long-run emphasis (LRE) 64 bin, large-zone emphasis 64 bin, max spectrum 8 bin, busyness 64 bin, and code similarity 32 and 64 bin were significant discriminators of BMI among other features (area under curve > 0.682, p < 0.05). Univariate analyses of texture features showed that code similarity and long-run emphasis (both 64 bin) were significant predictors of bone marrow involvement. Multivariate analyses revealed that LRE (64 bin, p = 0.031) with an odds ratio of 1.022 and 95% CI of (1.002-1.043) were independent variables for bone marrow involvement. Conclusions: $^{18}F-FDG PET/CT$ radiomic features are synergistic to visual assessment of BMI in patients diagnosed with lymphoma using $^{18}F-FDG PET/CT$. Further assessment of long-run emphasis is highly warranted.
dc.contributor.authorpl
Kenawy, Mahmoud A.
dc.contributor.authorpl
Khalil, Magdy M.
dc.contributor.authorpl
Abdelgawad, Mahmoud H.
dc.contributor.authorpl
El-Bahnasawy, H. H.
dc.date.accessioned
2020-10-20T15:44:15Z
dc.date.available
2020-10-20T15:44:15Z
dc.date.issuedpl
2020
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additionalpl
Bibliogr. s. e593-e594
dc.description.physicalpl
e586-e594
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
85
dc.identifier.doipl
10.5114/pjr.2020.99833
dc.identifier.eissnpl
1899-0967
dc.identifier.issnpl
1733-134X
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/248480
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
bone marrow
dc.subject.enpl
texture analysis
dc.subject.enpl
$^{18}F-FDG PET/CT$
dc.subject.enpl
radiomics.
dc.subtypepl
Article
dc.titlepl
Correlation of texture feature analysis with bone marrow infiltration in initial staging of patients with lymphoma using $^{18}F-fluorodeoxyglucose$ positron emission tomography combined with computed tomography
dc.title.journalpl
Polish Journal of Radiology
dc.typepl
JournalArticle
dspace.entity.type
Publication
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