Literature DB >> 27418017

Potential of quantitative susceptibility mapping for detection of prostatic calcifications.

Sina Straub1, Frederik B Laun1, Julian Emmerich1, Björn Jobke2, Henrik Hauswald3,4, Sonja Katayama4, Klaus Herfarth4, Heinz-Peter Schlemmer2, Mark E Ladd1, Christian H Ziener2, David Bonekamp2, Matthias C Röthke2.   

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.
© 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  calcification; multiparametric magnetic resonance imaging; prostate cancer; quantitative susceptibility mapping

Mesh:

Year:  2016        PMID: 27418017     DOI: 10.1002/jmri.25385

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  20 in total

Review 1.  Introduction to Quantitative Susceptibility Mapping and Susceptibility Weighted Imaging.

Authors:  Pascal P R Ruetten; Jonathan H Gillard; Martin J Graves
Journal:  Br J Radiol       Date:  2019-07-26       Impact factor: 3.039

2.  Bone susceptibility mapping with MRI is an alternative and reliable biomarker of osteoporosis in postmenopausal women.

Authors:  Yanjun Chen; Yihao Guo; Xintao Zhang; Yingjie Mei; Yanqiu Feng; Xiaodong Zhang
Journal:  Eur Radiol       Date:  2018-06-12       Impact factor: 5.315

3.  Visualization of thalamic calcium influx with quantitative susceptibility mapping as a potential imaging biomarker for repeated mild traumatic brain injury.

Authors:  Ferdinand Schweser; Jenni Kyyriäinen; Marilena Preda; Asla Pitkänen; Kathryn Toffolo; Austin Poulsen; Kaitlynn Donahue; Benett Levy; David Poulsen
Journal:  Neuroimage       Date:  2019-06-12       Impact factor: 6.556

Review 4.  Clinical quantitative susceptibility mapping (QSM): Biometal imaging and its emerging roles in patient care.

Authors:  Yi Wang; Pascal Spincemaille; Zhe Liu; Alexey Dimov; Kofi Deh; Jianqi Li; Yan Zhang; Yihao Yao; Kelly M Gillen; Alan H Wilman; Ajay Gupta; Apostolos John Tsiouris; Ilhami Kovanlikaya; Gloria Chia-Yi Chiang; Jonathan W Weinsaft; Lawrence Tanenbaum; Weiwei Chen; Wenzhen Zhu; Shixin Chang; Min Lou; Brian H Kopell; Michael G Kaplitt; David Devos; Toshinori Hirai; Xuemei Huang; Yukunori Korogi; Alexander Shtilbans; Geon-Ho Jahng; Daniel Pelletier; Susan A Gauthier; David Pitt; Ashley I Bush; Gary M Brittenham; Martin R Prince
Journal:  J Magn Reson Imaging       Date:  2017-03-10       Impact factor: 4.813

5.  Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: A proposed mechanistic relationship between inflammation and oligodendrocyte vitality.

Authors:  Ferdinand Schweser; Ana Luiza Raffaini Duarte Martins; Jesper Hagemeier; Fuchun Lin; Jannis Hanspach; Bianca Weinstock-Guttman; Simon Hametner; Niels Bergsland; Michael G Dwyer; Robert Zivadinov
Journal:  Neuroimage       Date:  2017-10-31       Impact factor: 6.556

6.  True phase quantitative susceptibility mapping using continuous single-point imaging: a feasibility study.

Authors:  Hyungseok Jang; Xing Lu; Michael Carl; Adam C Searleman; Saeed Jerban; Yajun Ma; Annette von Drygalski; Eric Y Chang; Jiang Du
Journal:  Magn Reson Med       Date:  2018-10-16       Impact factor: 4.668

7.  Assessment of mesoscopic properties of deep gray matter iron through a model-based simultaneous analysis of magnetic susceptibility and R2* - A pilot study in patients with multiple sclerosis and normal controls.

Authors:  Yanis Taege; Jesper Hagemeier; Niels Bergsland; Michael G Dwyer; Bianca Weinstock-Guttman; Robert Zivadinov; Ferdinand Schweser
Journal:  Neuroimage       Date:  2018-11-14       Impact factor: 6.556

8.  Evaluation of vertebral body fractures using susceptibility-weighted magnetic resonance imaging.

Authors:  Sarah M Böker; Lisa C Adams; Yvonne Y Bender; Moritz Wagner; Torsten Diekhoff; Eva Fallenberg; Bernd Hamm; Marcus R Makowski
Journal:  Eur Radiol       Date:  2017-12-19       Impact factor: 5.315

9.  Exploring the origins of echo-time-dependent quantitative susceptibility mapping (QSM) measurements in healthy tissue and cerebral microbleeds.

Authors:  Matthew J Cronin; Nian Wang; Kyle S Decker; Hongjiang Wei; Wen-Zhen Zhu; Chunlei Liu
Journal:  Neuroimage       Date:  2017-01-23       Impact factor: 6.556

10.  Quantitative susceptibility mapping: Report from the 2016 reconstruction challenge.

Authors:  Christian Langkammer; Ferdinand Schweser; Karin Shmueli; Christian Kames; Xu Li; Li Guo; Carlos Milovic; Jinsuh Kim; Hongjiang Wei; Kristian Bredies; Sagar Buch; Yihao Guo; Zhe Liu; Jakob Meineke; Alexander Rauscher; José P Marques; Berkin Bilgic
Journal:  Magn Reson Med       Date:  2017-07-31       Impact factor: 4.668

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