Literature DB >> 22197014

Comparison of prostate volume, shape, and contouring variability determined from preimplant magnetic resonance and transrectal ultrasound images.

Derek Liu1, Nawaid Usmani, Sunita Ghosh, Wafa Kamal, John Pedersen, Nadeem Pervez, Don Yee, Brita Danielson, Albert Murtha, John Amanie, Ron S Sloboda.   

Abstract

PURPOSE: To compare preimplant prostate contours and contouring variability between magnetic resonance (MR) and transrectal ultrasound images. METHODS AND MATERIALS: Twenty-three patients were imaged using ultrasound (US) and MR before permanent brachytherapy treatment. Images were anonymized, randomized, and duplicated, and the prostate was independently delineated by five radiation oncologists. Contours were compared in terms of volume, dimensions, posterior rectal indentation, and observer variability. The Jaccard index quantified spatial overlap between contours from duplicated images.
RESULTS: The mean US/MR volume ratio was 0.99±0.08 (p=0.5). The width, height, and length ratios for the prostate were 0.98±0.06 (p=0.09), 0.99±0.08 (p=0.4), and 1.05±0.14 (p=0.1). Rectal indentation was larger on US by 0.18mL (p=0.01) and correlated with prostate volume (p<0.01). MR and US interobserver variability in volume were similar at 3.5±1.7 and 3.3±1.9mL (p=0.6). Intraobserver variability was smaller on US at 1.4±1.1mL compared with MR at 2.4±2.2mL (p=0.01). Local intraobserver variability was lower on US at the midgland slice (p<0.01) but lower on MR at the base (p<0.01) and apex (p<0.01) slices.
CONCLUSIONS: US is comparable to MR for preimplant prostate delineation, with no significant difference in volume and dimensions. Rectal indentation because of the transrectal ultrasound probe was measurable, although the effects were small. Intraobserver variability was lower on US for the prostate volume but was lower on MR locally at the base and apex. However, the difference was not observed for the interobserver variability, which was similar between MR and US.
Copyright © 2012 American Brachytherapy Society. All rights reserved.

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Year:  2011        PMID: 22197014     DOI: 10.1016/j.brachy.2011.11.004

Source DB:  PubMed          Journal:  Brachytherapy        ISSN: 1538-4721            Impact factor:   2.362


  9 in total

1.  Fully Automated Prostate Magnetic Resonance Imaging and Transrectal Ultrasound Fusion via a Probabilistic Registration Metric.

Authors:  Rachel Sparks; B Nicolas Bloch; Ernest Feleppa; Dean Barratt; Anant Madabhushi
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2013-03-08

2.  Multiattribute probabilistic prostate elastic registration (MAPPER): application to fusion of ultrasound and magnetic resonance imaging.

Authors:  Rachel Sparks; B Nicolas Bloch; Ernest Feleppa; Dean Barratt; Daniel Moses; Lee Ponsky; Anant Madabhushi
Journal:  Med Phys       Date:  2015-03       Impact factor: 4.071

3.  Prostate volume changes during permanent seed brachytherapy: an analysis of intra-operative variations, predictive factors and clinical implication.

Authors:  Ciprian Chira; Guila Delouya; Sandra Larrivée; Jean-Francois Carrier; Daniel Taussky
Journal:  Radiat Oncol       Date:  2013-07-09       Impact factor: 3.481

4.  Pre-implant magnetic resonance and transrectal ultrasound imaging in high-dose-rate prostate brachytherapy: comparison of prostate volumes, craniocaudal extents, and contours.

Authors:  Simone Grisotto; Annamaria Cerrotta; Brigida Pappalardi; Mauro Carrara; Antonella Messina; Chiara Tenconi; Riccardo Valdagni; Carlo Fallai
Journal:  J Contemp Brachytherapy       Date:  2018-08-31

5.  Advantages of TRUS-based delineation for high-dose-rate prostate brachytherapy planning.

Authors:  Heloise Lavoie-Gagnon; Andre-Guy Martin; Eric Poulin; Louis Archambault; Laurie Pilote; William Foster; Eric Vigneault; Damien Carignan; Frederic Lacroix
Journal:  J Contemp Brachytherapy       Date:  2022-02-18

Review 6.  Review of clinical brachytherapy uncertainties: analysis guidelines of GEC-ESTRO and the AAPM.

Authors:  Christian Kirisits; Mark J Rivard; Dimos Baltas; Facundo Ballester; Marisol De Brabandere; Rob van der Laarse; Yury Niatsetski; Panagiotis Papagiannis; Taran Paulsen Hellebust; Jose Perez-Calatayud; Kari Tanderup; Jack L M Venselaar; Frank-André Siebert
Journal:  Radiother Oncol       Date:  2013-11-30       Impact factor: 6.280

7.  Variability in MRI vs. ultrasound measures of prostate volume and its impact on treatment recommendations for favorable-risk prostate cancer patients: a case series.

Authors:  Yonina R Murciano-Goroff; Luciant D Wolfsberger; Arti Parekh; Fiona M Fennessy; Kemal Tuncali; Peter F Orio; Thomas R Niedermayr; W Warren Suh; Phillip M Devlin; Clare Mary C Tempany; Emily H Neubauer Sugar; Desmond A O'Farrell; Graeme Steele; Michael O'Leary; Ivan Buzurovic; Antonio L Damato; Robert A Cormack; Andriy Y Fedorov; Paul L Nguyen
Journal:  Radiat Oncol       Date:  2014-09-09       Impact factor: 3.481

8.  A method for mapping and quantifying whole organ diffusion-weighted image distortion in MR imaging of the prostate.

Authors:  Andrew B Gill; Marcin Czarniecki; Ferdia A Gallagher; Tristan Barrett
Journal:  Sci Rep       Date:  2017-10-05       Impact factor: 4.379

9.  Tumor burden and location as prognostic factors in patients treated by iodine seed implant brachytherapy for localized prostate cancers.

Authors:  Claire Meynard; Andres Huertas; Charles Dariane; Sandra Toublanc; Quentin Dubourg; Saik Urien; Marc-Olivier Timsit; Arnaud Méjean; Nicolas Thiounn; Philippe Giraud
Journal:  Radiat Oncol       Date:  2019-12-31       Impact factor: 3.481

  9 in total

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