Image-Based Molecular Phenotyping of Pancreatic Ductal Adenocarcinoma

Journal of Clinical Medicine
Georgios KaissisRickmer Braren

Abstract

To bridge the translational gap between recent discoveries of distinct molecular phenotypes of pancreatic cancer and tangible improvements in patient outcome, there is an urgent need to develop strategies and tools informing and improving the clinical decision process. Radiomics and machine learning approaches can offer non-invasive whole tumor analytics for clinical imaging data-based classification. The retrospective study assessed baseline computed tomography (CT) from 207 patients with proven pancreatic ductal adenocarcinoma (PDAC). Following expert level manual annotation, Pyradiomics was used for the extraction of 1474 radiomic features. The molecular tumor subtype was defined by immunohistochemical staining for KRT81 and HNF1a as quasi-mesenchymal (QM) vs. non-quasi-mesenchymal (non-QM). A Random Forest machine learning algorithm was developed to predict the molecular subtype from the radiomic features. The algorithm was then applied to an independent cohort of histopathologically unclassifiable tumors with distinct clinical outcomes. The classification algorithm achieved a sensitivity, specificity and ROC-AUC (area under the receiver operating characteristic curve) of 0.84 ± 0.05, 0.92 ± 0.01 and 0.93 ± 0.01, respective...Continue Reading

References

Dec 19, 2003·Cancer·Aliyah RahemtullahMartha B Pitman
Aug 18, 2012·Magnetic Resonance Imaging·Virendra KumarRobert J Gillies
Aug 16, 2017·Cancer Cell·UNKNOWN Cancer Genome Atlas Research Network. Electronic address: andrew_aguirre@dfci.harvard.edu, UNKNOWN Cancer Genome Atlas Research Network
Nov 3, 2017·Cancer Research·Joost J M van GriethuysenHugo J W L Aerts
Nov 5, 2017·Clinical Cancer Research : an Official Journal of the American Association for Cancer Research·Alexander MuckenhuberWilko Weichert
Dec 31, 2017·Clinical Cancer Research : an Official Journal of the American Association for Cancer Research·Kyaw L AungJennifer J Knox
Nov 13, 2018·Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology·Mattea L WelchDavid A Jaffray
Feb 6, 2019·Nature Reviews. Gastroenterology & Hepatology·Eric A CollissonAndrew V Biankin
Apr 2, 2019·Scientific Reports·Farzad KhalvatiMasoom A Haider
Apr 27, 2019·Frontiers in Oncology·Natalia Anahi JuizNelson Dusetti
Jun 4, 2019·The New England Journal of Medicine·Talia GolanHedy L Kindler
Nov 23, 2019·Clinical Cancer Research : an Official Journal of the American Association for Cancer Research·Naim U RashidJen Jen Yeh

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Citations

Nov 6, 2020·European Radiology·Bassam M AbunahelMaxim S Petrov
Jul 15, 2020·Clinical Cancer Research : an Official Journal of the American Association for Cancer Research·Eric A Collisson
Oct 17, 2020·Digestive Endoscopy : Official Journal of the Japan Gastroenterological Endoscopy Society·Myrte GorrisJeanin E van Hooft
May 31, 2021·Lung Cancer : Journal of the International Association for the Study of Lung Cancer·Xiao-Jie XieDan Han

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Methods Mentioned

BETA
biopsy

Software Mentioned

PyRadiomics
ITK
SNAP

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