Enhancing pancreatic adenocarcinoma delineation in diffusion derived intravoxel incoherent motion f-maps through automatic vessel and duct segmentation

• Verfasst von: Re, Thomas J. [VerfasserIn]
• Verfasst von: Lemke, Andreas [VerfasserIn]
• Verfasst von: Klauss, Miriam [VerfasserIn]
• Verfasst von: Laun, Frederik B. [VerfasserIn]
• Verfasst von: Simon, Dirk [VerfasserIn]
• Verfasst von: Grünberg, Katharina [VerfasserIn]
• Verfasst von: Delorme, Stefan [VerfasserIn]
• Verfasst von: Grenacher, Lars [VerfasserIn]
• Verfasst von: Manfredi, Riccardo [VerfasserIn]
• Verfasst von: Mucelli, Roberto Pozzi [VerfasserIn]
• Verfasst von: Stieltjes, Bram [VerfasserIn]
• Titel: Enhancing pancreatic adenocarcinoma delineation in diffusion derived intravoxel incoherent motion f-maps through automatic vessel and duct segmentation
• Verf.angabe: Thomas J. Re, Andreas Lemke, Miriam Klauss, Fredrik B. Laun, Dirk Simon, Katharina Grünberg, Stefan Delorme, Lars Grenacher, Riccardo Manfredi, Roberto Pozzi Mucelli, and Bram Stieltjes
• E-Jahr: 2011
• Jahr: 24 March 2011
• Umfang: 6 S.
• Fussnoten: Gesehen am 12.09.2022
• Titel Quelle: Enthalten in: Magnetic resonance in medicine
• Ort Quelle: New York, NY [u.a.] : Wiley-Liss, 1984
• Jahr Quelle: 2011
• Band/Heft Quelle: 66(2011), 5, Seite 1327-1332
• ISSN Quelle: 1522-2594
• DOI: doi:10.1002/mrm.22931
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: diffusion
• Sach-SW: IVIM
• Sach-SW: pancreas
• Sach-SW: segmentation
• K10plus-PPN: 1816427349

Abstract

Diffusion-based intravoxel incoherent motion imaging has recently gained interest as a method to detect and characterize pancreatic lesions, especially as it could provide a radiation- and contrast agent-free alternative to existing diagnostic methods. However, tumor delineation on intravoxel incoherent motion-derived parameter maps is impeded by poor lesion-to-pancreatic duct contrast in the f-maps and poor lesion-to-vessel contrast in the D-maps. The distribution of the diffusion and perfusion parameters within vessels, ducts, and tumors were extracted from a group of 42 patients with pancreatic adenocarcinoma. Clearly separable combinations of f and D were observed, and receiver operating characteristic analysis was used to determine the optimal cutoff values for an automated segmentation of vessels and ducts to improve lesion detection and delineation on the individual intravoxel incoherent motion-derived maps. Receiver operating characteristic analysis identified f = 0.28 as the cutoff for vessels (Area under the curve (AUC) = 0.901) versus tumor/duct and D = 1.85 μm2/ms for separating duct from tumor tissue (AUC = 0.988). These values were incorporated in an automatic segmentation algorithm and then applied to 42 patients. This yielded clearly improved tumor delineation compared to individual intravoxel incoherent motion-derived maps. Furthermore, previous findings that indicated that the f value in pancreatic cancer is strongly reduced compared to healthy pancreatic tissue were reconfirmed.