Prediction of Tumor Cellularity in Resectable PDAC from Preoperative Computed Tomography Imaging.
PDAC
computed tomography
pancreatic ductal adenocarcinoma
tumor cellularity
Journal
Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829
Informations de publication
Date de publication:
25 Apr 2021
25 Apr 2021
Historique:
received:
15
02
2021
revised:
17
03
2021
accepted:
21
04
2021
entrez:
30
4
2021
pubmed:
1
5
2021
medline:
1
5
2021
Statut:
epublish
Résumé
PDAC remains a tumor entity with poor prognosis and a 5-year survival rate below 10%. Recent research has revealed invasive biomarkers, such as distinct molecular subtypes, predictive for therapy response and patient survival. Non-invasive prediction of individual patient outcome however remains an unresolved task. Discrete cellularity regions of PDAC resection specimen ( A statistically significant negative correlation between regional tumor cellularity in histopathology and CT-derived HU from corresponding image regions was identified. Radiological differentiation was best possible in monoE 40 keV CT images. However, HU values differed significantly in conventional reconstructions as well, indicating the possibility of a broad clinical application of this finding. In this study we establish a novel method for CT-based prediction of tumor cellularity for in-vivo tumor characterization in PDAC patients.
Sections du résumé
BACKGROUND
BACKGROUND
PDAC remains a tumor entity with poor prognosis and a 5-year survival rate below 10%. Recent research has revealed invasive biomarkers, such as distinct molecular subtypes, predictive for therapy response and patient survival. Non-invasive prediction of individual patient outcome however remains an unresolved task.
METHODS
METHODS
Discrete cellularity regions of PDAC resection specimen (
RESULTS
RESULTS
A statistically significant negative correlation between regional tumor cellularity in histopathology and CT-derived HU from corresponding image regions was identified. Radiological differentiation was best possible in monoE 40 keV CT images. However, HU values differed significantly in conventional reconstructions as well, indicating the possibility of a broad clinical application of this finding.
CONCLUSION
CONCLUSIONS
In this study we establish a novel method for CT-based prediction of tumor cellularity for in-vivo tumor characterization in PDAC patients.
Identifiants
pubmed: 33922981
pii: cancers13092069
doi: 10.3390/cancers13092069
pmc: PMC8123300
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Deutsche Forschungsgemeinschaft
ID : SFB824, C6 and SPP2177, P4
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