MR imaging of the retrorectal-presacral tumors: an algorithmic approach
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| 005 | 20210128100521.0 | ||
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| 008 | 210128e20151001xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00261-015-0404-1 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00261-015-0404-1 | ||
| 245 | 0 | 0 | |a MR imaging of the retrorectal-presacral tumors: an algorithmic approach |h [Elektronische Daten] |c [Hooman Hosseini-Nik, Keyanoosh Hosseinzadeh, Rajesh Bhayana, Kartik Jhaveri] |
| 520 | 3 | |a The retrorectal-presacral space is located posterior to the mesorectum and anterior to the sacrum, and can harbor a heterogeneous group of uncommon masses. Retrorectal-presacral tumors may be classified as congenital, neurogenic, osseous, and miscellaneous. Magnetic resonance imaging (MRI) plays a crucial role in directing appropriate management through accurate diagnosis, detection of complications and anatomic extent. MRI aids in the selection of optimal surgical approach such as anterior, posterior, or combined—based on the lesion extent and relationship to adjacent structures. This article reviews the anatomy of the retrorectal-presacral space and the related tumors, optimal MRI protocol, MRI-based approach to differential diagnosis, and finally pertinent reporting pointers and implications of MR imaging findings for surgical management. | |
| 540 | |a Springer Science+Business Media New York, 2015 | ||
| 690 | 7 | |a Retrorectal space |2 nationallicence | |
| 690 | 7 | |a Presacral space |2 nationallicence | |
| 690 | 7 | |a Magnetic resonance imaging |2 nationallicence | |
| 690 | 7 | |a Malignant tumor |2 nationallicence | |
| 690 | 7 | |a Benign tumor |2 nationallicence | |
| 690 | 7 | |a Neoplasm |2 nationallicence | |
| 700 | 1 | |a Hosseini-Nik |D Hooman |u Joint Department of Medical Imaging (JDMI), University Health Network, Toronto, ON, Canada |4 aut | |
| 700 | 1 | |a Hosseinzadeh |D Keyanoosh |u Department of Radiology, Wake Forest University School of Medicine, One Medical Center Boulevard, 27157, Winston-Salem, NC, USA |4 aut | |
| 700 | 1 | |a Bhayana |D Rajesh |u Department of Medical Imaging, University of Toronto, Toronto, ON, Canada |4 aut | |
| 700 | 1 | |a Jhaveri |D Kartik |u Joint Department of Medical Imaging (JDMI), University Health Network, Toronto, ON, Canada |4 aut | |
| 773 | 0 | |t Abdominal Imaging |d Springer US; http://www.springer-ny.com |g 40/7(2015-10-01), 2630-2644 |x 0942-8925 |q 40:7<2630 |1 2015 |2 40 |o 261 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00261-015-0404-1 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a review-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00261-015-0404-1 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Hosseini-Nik |D Hooman |u Joint Department of Medical Imaging (JDMI), University Health Network, Toronto, ON, Canada |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Hosseinzadeh |D Keyanoosh |u Department of Radiology, Wake Forest University School of Medicine, One Medical Center Boulevard, 27157, Winston-Salem, NC, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Bhayana |D Rajesh |u Department of Medical Imaging, University of Toronto, Toronto, ON, Canada |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Jhaveri |D Kartik |u Joint Department of Medical Imaging (JDMI), University Health Network, Toronto, ON, Canada |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Abdominal Imaging |d Springer US; http://www.springer-ny.com |g 40/7(2015-10-01), 2630-2644 |x 0942-8925 |q 40:7<2630 |1 2015 |2 40 |o 261 | ||