Literature DB >> 27220699

Learning curve of MRI-based planning for high-dose-rate brachytherapy for prostate cancer.

Simon Buus1, Susanne Rylander2, Steffen Hokland2, Christian Skou Søndergaard2, Erik Morre Pedersen3, Kari Tanderup4, Lise Bentzen2.   

Abstract

PURPOSE: To evaluate introduction of MRI-based high-dose-rate brachytherapy (HDRBT), including procedure times, dose-volume parameters, and perioperative morbidity. METHODS AND MATERIALS: Study included 42 high-risk prostate cancer patients enrolled in a clinical protocol, offering external beam radiotherapy + two HDRBT 8.5 Gy boosts. Time was recorded for initiation of anesthesia (A), fixation of needle implant (B), end of MR imaging (C), plan approval (D), and end of HDRBT delivery (E). We defined time A-E as total procedure time, A-B as operating room time, B-C as MRI procedure time, C-D as treatment planning time, and D to E as treatment delivery time. Dose-volume parameters were retrieved from the dose planning system. Results from the first 21 patients were compared with the last 21 patients.
RESULTS: Total procedure time, operating room time, MRI procedure time, and treatment planning time decreased significantly from average 7.6 to 5.3 hours (p < 0.01), 3.6 to 2.4 hours (p < 0.01), 1.6 to 0.8 hours (p < 0.01), and 2.0 to 1.3 hours (p < 0.01), respectively. HDRBT delivery time remained unchanged at 0.5 hours. Clinical target volume prostate+3mmD90 fulfilled planning aim in 92% of procedures and increased significantly from average 8.3 to 9.0 Gy (p < 0.01). Urethral D0.1 cm(3) and rectal D2 cm(3) fulfilled planning aim in 78% and 95% of procedures, respectively, and did not change significantly. Hematuria occurred in (95%), hematoma (80%), moderate to strong pain (35%), and urinary retention (5%) of procedures.
CONCLUSIONS: After introduction of MRI-based HDRBT, procedure times were significantly reduced. D90 Clinical target volumeprostate+3mm fulfilled constraints in most patients and improved over time, but not at expense of an increased urethral or rectal dose.
Copyright © 2016 American Brachytherapy Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  HDR; Learning curve; MRI; Morbidity; Prostate cancer; Workflow

Mesh:

Year:  2016        PMID: 27220699     DOI: 10.1016/j.brachy.2016.03.011

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


  5 in total

1.  Clinical use of magnetic resonance imaging across the prostate brachytherapy workflow.

Authors:  P Blanchard; C Ménard; S J Frank
Journal:  Brachytherapy       Date:  2017-01-30       Impact factor: 2.362

Review 2.  The evolution of brachytherapy for prostate cancer.

Authors:  Nicholas G Zaorsky; Brian J Davis; Paul L Nguyen; Timothy N Showalter; Peter J Hoskin; Yasuo Yoshioka; Gerard C Morton; Eric M Horwitz
Journal:  Nat Rev Urol       Date:  2017-06-30       Impact factor: 14.432

3.  Automatic multi-catheter detection using deeply supervised convolutional neural network in MRI-guided HDR prostate brachytherapy.

Authors:  Xianjin Dai; Yang Lei; Yupei Zhang; Richard L J Qiu; Tonghe Wang; Sean A Dresser; Walter J Curran; Pretesh Patel; Tian Liu; Xiaofeng Yang
Journal:  Med Phys       Date:  2020-06-15       Impact factor: 4.071

4.  Changes in prostate cancer detection rate of MRI-TRUS fusion vs systematic biopsy over time: evidence of a learning curve.

Authors:  B Calio; A Sidana; D Sugano; S Gaur; A Jain; M Maruf; S Xu; P Yan; J Kruecker; M Merino; P Choyke; B Turkbey; B Wood; P Pinto
Journal:  Prostate Cancer Prostatic Dis       Date:  2017-08-01       Impact factor: 5.554

5.  Learning curves in radiological reporting of whole-body MRI in plasma cell disease: a retrospective study.

Authors:  Davide Negroni; Alessia Cassarà; Alessandra Trisoglio; Eleonora Soligo; Sara Berardo; Alessandro Carriero; Alessandro Stecco
Journal:  Radiol Med       Date:  2021-07-26       Impact factor: 3.469

  5 in total

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