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Prediction of tumor cellularity in resectable PDAC from preoperative computed tomography imaging.
Cancers 13:2069 (2021)
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: Discrete cellularity regions of PDAC resection specimen (n = 43) were analyzed by routine histopathological work up. Regional tumor cellularity and CT-derived Hounsfield Units (HU, n = 66) as well as iodine concentrations were regionally matched. One-way ANOVA and pairwise t-tests were performed to assess the relationship between different cellularity level in conventional, virtual monoenergetic 40 keV (monoE 40 keV) and iodine map reconstructions. 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: In this study we establish a novel method for CT-based prediction of tumor cellularity for in-vivo tumor characterization in PDAC patients.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Pdac ; Computed Tomography ; Pancreatic Ductal Adenocarcinoma ; Tumor Cellularity
Language
english
Publication Year
2021
HGF-reported in Year
2021
ISSN (print) / ISBN
2072-6694
Journal
Cancers
Quellenangaben
Volume: 13,
Issue: 9,
Article Number: 2069
Publisher
MDPI
Reviewing status
Peer reviewed
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-530014-001
Grants
Deutsche Forschungsgemeinschaft
PubMed ID
33922981
Erfassungsdatum
2022-09-13