dc.contributor.author
Michallek, Florian
dc.contributor.author
Haouari, Mohamed Amine
dc.contributor.author
Dana, Ophélie
dc.contributor.author
Perrot, Antoine
dc.contributor.author
Silvera, Stéphane
dc.contributor.author
Dallongeville, Axel
dc.contributor.author
Dewey, Marc
dc.contributor.author
Zins, Marc
dc.date.accessioned
2024-08-20T10:21:32Z
dc.date.available
2024-08-20T10:21:32Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/44666
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-44377
dc.description.abstract
Objectives: Tumour size measurement is pivotal for staging and stratifying patients with pancreatic ductal adenocarcinoma (PDA). However, computed tomography (CT) frequently underestimates tumour size due to insufficient depiction of the tumour rim. CT-derived fractal dimension (FD) maps might help to visualise perfusion chaos, thus allowing more realistic size measurement.
Methods: In 46 patients with histology-proven PDA, we compared tumour size measurements in routine multiphasic CT scans, CT-derived FD maps, multi-parametric magnetic resonance imaging (mpMRI), and, where available, gross pathology of resected specimens. Gross pathology was available as reference for diameter measurement in a discovery cohort of 10 patients. The remaining 36 patients constituted a separate validation cohort with mpMRI as reference for diameter and volume.
Results: Median RECIST diameter of all included tumours was 40 mm (range: 18-82 mm). In the discovery cohort, we found significant (p = 0.03) underestimation of tumour diameter on CT compared with gross pathology (Delta diameter(3D) = -5.7 mm), while realistic diameter measurements were obtained from FD maps (Delta diameter(3D) = 0.6 mm) and mpMRI (Delta diameter(3D) = -0.9 mm), with excellent correlation between the two (R-2 = 0.88). In the validation cohort, CT also systematically underestimated tumour size in comparison to mpMRI (Delta diameter(3D) = -10.6 mm, Delta volume = -10.2 mL), especially in larger tumours. In contrast, FD map measurements agreed excellently with mpMRI (Delta diameter(3D) = +1.5 mm, Delta volume = -0.6 mL). Quantitative perfusion chaos was significantly (p = 0.001) higher in the tumour rim (FDrim = 4.43) compared to the core (FDcore = 4.37) and remote pancreas (FDpancreas = 4.28).
Conclusions: In PDA, fractal analysis visualises perfusion chaos in the tumour rim and improves size measurement on CT in comparison to gross pathology and mpMRI, thus compensating for size underestimation from routine CT.
en
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Pancreatic ductal
en
dc.subject
Four-dimensional computed tomography
en
dc.subject
Multi-parametric magnetic resonance imaging
en
dc.subject
Perfusion imaging
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
Fractal analysis improves tumour size measurement on computed tomography in pancreatic ductal adenocarcinoma: comparison with gross pathology and multi-parametric MRI
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1007/s00330-022-08631-8
dcterms.bibliographicCitation.journaltitle
European Radiology
dcterms.bibliographicCitation.number
8
dcterms.bibliographicCitation.originalpublishername
Springer Nature
dcterms.bibliographicCitation.pagestart
5053
dcterms.bibliographicCitation.pageend
5063
dcterms.bibliographicCitation.volume
32
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.funding
Springer Nature DEAL
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
35201407
dcterms.isPartOf.issn
0938-7994
dcterms.isPartOf.eissn
1432-1084