Potential of quantitative susceptibility mapping for detection of prostatic calcifications

• Verfasst von: Straub, Sina [VerfasserIn]
• Verfasst von: Laun, Frederik B. [VerfasserIn]
• Verfasst von: Emmerich, Julian [VerfasserIn]
• Verfasst von: Jobke, Björn [VerfasserIn]
• Verfasst von: Hauswald, Henrik [VerfasserIn]
• Verfasst von: Katayama, Sonja [VerfasserIn]
• Verfasst von: Herfarth, Klaus [VerfasserIn]
• Verfasst von: Schlemmer, Heinz-Peter [VerfasserIn]
• Verfasst von: Ladd, Mark E. [VerfasserIn]
• Verfasst von: Ziener, Christian H. [VerfasserIn]
• Verfasst von: Bonekamp, David [VerfasserIn]
• Verfasst von: Röthke, Matthias C. [VerfasserIn]
• Titel: Potential of quantitative susceptibility mapping for detection of prostatic calcifications
• Verf.angabe: Sina Straub, Frederik B. Laun, Julian Emmerich, Björn Jobke, Henrik Hauswald, Sonja Katayama, Klaus Herfarth, Heinz-Peter Schlemmer, Mark E. Ladd, Christian H. Ziener, David Bonekamp, Matthias C. Röthke
• Jahr: 2017
• Jahr des Originals: 2016
• Umfang: 10 S.
• Fussnoten: Published online: 15 July 2016 ; Gesehen am 15.04.2020
• Titel Quelle: Enthalten in: Journal of magnetic resonance imaging
• Ort Quelle: New York, NY : Wiley-Liss, 1991
• Jahr Quelle: 2017
• Band/Heft Quelle: 45(2017), 3, Seite 889-898
• ISSN Quelle: 1522-2586
• DOI: doi:10.1002/jmri.25385
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: calcification
• Sach-SW: multiparametric magnetic resonance imaging
• Sach-SW: prostate cancer
• Sach-SW: quantitative susceptibility mapping
• K10plus-PPN: 1572653426

Abstract

Purpose To evaluate whether quantitative susceptibility (QSM) may be used as an alternative to computed tomography (CT) to detect calcification in prostate cancer patients. Materials and Methods Susceptibility map calculation was performed using 3D gradient echo magnetic resonance imaging (MRI) data from 26 patients measured at 3T who previously received a planning CT of the prostate. Phase images were unwrapped using Laplacian-based phase unwrapping, the background field was removed with the V-SHARP method, and susceptibility maps were calculated with the iLSQR method. Two blinded readers were asked to identify peri- and intraprostatic calcifications. Results Average mean and minimum susceptibility values (referenced to iliopsoas muscle) of calcifications were −0.249 ± 0.179 ppm and -0.551 ± 0.323 ppm, and average mean and maximum intensities in CT images were 319 ± 164 HU and 679 ± 392 HU. Twenty-one and 17 out of 22 prostatic calcifications were identified using susceptibility maps and magnitude images, respectively, as well as more than half of periprostatic phleboliths depicted by CT. Calcifications in the prostate and its periphery were quantitatively differentiable from noncalcified prostate tissue in CT (mean values for calcifications / for noncalcified tissue: 71 to 649 / -1 to 83 HU) and in QSM (mean values for calcifications / for noncalcified tissue: -0.641 to 0.063 / -0.046 to 0.181 ppm). Moreover, there was a significant correlation between susceptibility values and CT image intensities for calcifications (P < 0.004). Conclusion Prostatic calcifications could be well identified with QSM. Susceptibility maps can be easily obtained from clinical prostate MR protocols that include a 3D gradient echo sequence, rendering it a promising technique for detection and quantification of intraprostatic calcifications. Level of Evidence: 1 J. Magn. Reson. Imaging 2017;45:889-898.