3-T MR-guided brachytherapy for gynecologic malignancies

被引:65
作者
Kapur, Tina [3 ]
Egger, Jan [3 ]
Damato, Antonio [1 ,2 ]
Schmidt, Ehud J. [3 ]
Viswanathan, Akila N. [1 ,2 ]
机构
[1] Brigham & Womens Hosp, Dept Radiat Oncol, Boston, MA 02115 USA
[2] Harvard Univ, Sch Med, Dana Farber Canc Inst, Boston, MA 02115 USA
[3] Harvard Univ, Brigham & Womens Hosp, Dept Radiol, Sch Med, Boston, MA 02115 USA
关键词
Brachytherapy; Segmentation; Bias correction; MR susceptibility artifact; Visualization; Registration; SOCIETY CONSENSUS GUIDELINES; LOCALLY ADVANCED-CARCINOMA; CERVICAL-CANCER BRACHYTHERAPY; DOSE-RATE BRACHYTHERAPY; AMERICAN BRACHYTHERAPY; VOLUME PARAMETERS; SEGMENTATION; RECOMMENDATIONS; RECONSTRUCTION; REGISTRATION;
D O I
10.1016/j.mri.2012.06.003
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Gynecologic malignancies are a leading cause of death in women worldwide. Standard treatment for many primary and recurrent gynecologic cancer cases includes external-beam radiation followed by brachytherapy. Magnetic resonance (MR) imaging is beneficial in diagnostic evaluation, in mapping the tumor location to tailor radiation dose and in monitoring the tumor response to treatment. Initial studies of MR guidance in gynecologic brachytherapy demonstrate the ability to optimize tumor coverage and reduce radiation dose to normal tissues, resulting in improved outcomes for patients. In this article, we describe a methodology to aid applicator placement and treatment planning for 3 Tesla (3-1) MR-guided brachytherapy that was developed specifically for gynecologic cancers. This methodology has been used in 18 cases from September 2011 to May 2012 in the Advanced Multimodality Image Guided Operating (AMIGO) suite at Brigham and Women's Hospital. AMIGO comprises state-of-the-art tools for MR imaging, image analysis and treatment planning. An MR sequence using three-dimensional (3D)-balanced steady-state free precession in a 3-T MR scanner was identified as the best sequence for catheter identification with ballooning artifact at the tip. 3D treatment planning was performed using MR images. Items in development include software designed to support virtual needle trajectory planning that uses probabilistic bias correction, graph-based segmentation and image registration algorithms. The results demonstrate that 3-T MR image guidance has a role in gynecologic brachytherapy. These novel developments have the potential to improve targeted treatment to the tumor while sparing the normal tissues. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:1279 / 1290
页数:12
相关论文
共 40 条
  • [1] Direct reconstruction of the Vienna applicator on MR images
    Berger, Daniel
    Dimopoulos, Johannes
    Poetter, Richard
    Kirisits, Christian
    [J]. RADIOTHERAPY AND ONCOLOGY, 2009, 93 (02) : 347 - 351
  • [2] American Brachytherapy Society consensus guidelines for interstitial brachytherapy for vaginal cancer
    Beriwal, Sushil
    Demanes, D. Jeffrey
    Erickson, Beth
    Jones, Ellen
    De Los Santos, Jennifer F.
    Cormack, Robert A.
    Yashar, Catheryn
    Rownd, Jason J.
    Viswanathan, Akila N.
    [J]. BRACHYTHERAPY, 2012, 11 (01) : 68 - 75
  • [3] Image-Guided Interventions: Technology Review and Clinical Applications
    Cleary, Kevin
    Peters, Terry M.
    [J]. ANNUAL REVIEW OF BIOMEDICAL ENGINEERING, VOL 12, 2010, 12 : 119 - 142
  • [4] Optimizing target coverage by dosimetric feedback during prostate brachytherapy
    Cormack, RA
    Tempany, CM
    D'Amico, AV
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2000, 48 (04): : 1245 - 1249
  • [5] Positive Contrast with Alternating Repetition Time SSFP (PARTS): A Fast Imaging Technique for SPIO-Labeled Cells
    Cukur, Tolga
    Yamada, Mayumi
    Overall, William R.
    Yang, Phillip
    Nishimura, Dwight G.
    [J]. MAGNETIC RESONANCE IN MEDICINE, 2010, 63 (02) : 427 - 437
  • [6] Applicator reconstruction and applicator shifts in 3D MR-based PDR brachytherapy of cervical cancer
    De Leeuw, Astrid A. C.
    Moerland, Marinus A.
    Nomden, Christel
    Tersteeg, Robert H. A.
    Roesink, Judith M.
    Jurgenliemk-Schulz, Ira M.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2009, 93 (02) : 341 - 346
  • [7] MAXIMUM LIKELIHOOD FROM INCOMPLETE DATA VIA EM ALGORITHM
    DEMPSTER, AP
    LAIRD, NM
    RUBIN, DB
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, 1977, 39 (01): : 1 - 38
  • [8] DiMaio SP, 2006, STUD HEALTH TECHNOL, V119, P120
  • [9] DiMaio S, 2007, LECT NOTES COMPUT SC, V4792, P50
  • [10] Phase-Field Dithering for Active Catheter Tracking
    Dumoulin, Charles L.
    Mallozzi, Richard P.
    Darrow, Robert D.
    Schmidt, Ehud J.
    [J]. MAGNETIC RESONANCE IN MEDICINE, 2010, 63 (05) : 1398 - 1403