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Radical prostatectomy: value of prostate MRI in surgical planning

Overview of attention for article published in Abdominal Radiology, October 2011
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Title
Radical prostatectomy: value of prostate MRI in surgical planning
Published in
Abdominal Radiology, October 2011
DOI 10.1007/s00261-011-9805-y
Pubmed ID
Authors

Nelly Tan, Daniel J. A. Margolis, Timothy D. McClure, Albert Thomas, David S. Finley, Robert E. Reiter, Jiaoti Huang, Steven S. Raman

Abstract

The introduction of serum prostate-specific antigen to the prostate cancer screening algorithm has led to an increase in prostate cancer diagnosis as well as a migration toward lower-stage cancer at the time of diagnosis. This stage migration has coincided with changes in treatment options; these include active surveillance, new therapies, and advances in surgical techniques. Use of robot-assisted radical prostatectomy (RARP) as a surgical technique has seen a significant increase over the past several years: the number of patients undergoing RARP has risen from 1% to 40% of all prostatectomies from 2001-2006 to as many as 80% in 2010. The robotic interface provides a 3D magnified view of the surgical field, intuitive instrument manipulation, motion scaling, tremor filtration, and excellent dexterity and range of motion. However, in some cases, the lack of tactile (haptic) feedback may limit the surgeon's decision making ability in assessing malignant involvement of the neurovascular bundles. Pre-operative planning relies on nomograms based on limited clinical and prostate biopsy information. The surgical decision to spare or resect the neurovascular bundles is based on clinical information which is not spatially or anatomically based. Advances in magnetic resonance imaging (MRI) may provide spatially localized information to fill this void and aid surgical planning, particularly for robotic surgeons. In this review, we discuss the potential role of pre-operative MRI in surgical planning for radical prostatectomy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Portugal 1 <1%
Unknown 102 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 16%
Other 12 11%
Student > Master 9 9%
Student > Doctoral Student 9 9%
Student > Ph. D. Student 8 8%
Other 27 26%
Unknown 23 22%
Readers by discipline Count As %
Medicine and Dentistry 55 52%
Engineering 7 7%
Agricultural and Biological Sciences 3 3%
Nursing and Health Professions 2 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Other 7 7%
Unknown 30 29%