Literature DB >> 19515511

Radiographic and anatomic basis for prostate contouring errors and methods to improve prostate contouring accuracy.

Patrick W McLaughlin1, Cheryl Evans, Mary Feng, Vrinda Narayana.   

Abstract

PURPOSE: Use of highly conformal radiation for prostate cancer can lead to both overtreatment of surrounding normal tissues and undertreatment of the prostate itself. In this retrospective study we analyzed the radiographic and anatomic basis of common errors in computed tomography (CT) contouring and suggest methods to correct them. METHODS AND MATERIALS: Three hundred patients with prostate cancer underwent CT and magnetic resonance imaging (MRI). The prostate was delineated independently on the data sets. CT and MRI contours were compared by use of deformable registration. Errors in target delineation were analyzed and methods to avoid such errors detailed.
RESULTS: Contouring errors were identified at the prostatic apex, mid gland, and base on CT. At the apex, the genitourinary diaphragm, rectum, and anterior fascia contribute to overestimation. At the mid prostate, the anterior and lateral fasciae contribute to overestimation. At the base, the bladder and anterior fascia contribute to anterior overestimation. Transition zone hypertrophy and bladder neck variability contribute to errors of overestimation and underestimation at the superior base, whereas variable prostate-to-seminal vesicle relationships with prostate hypertrophy contribute to contouring errors at the posterior base.
CONCLUSIONS: Most CT contouring errors can be detected by (1) inspection of a lateral view of prostate contours to detect projection from the expected globular form and (2) recognition of anatomic structures (genitourinary diaphragm) on the CT scans that are clearly visible on MRI. This study shows that many CT prostate contouring errors can be improved without direct incorporation of MRI data. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19515511     DOI: 10.1016/j.ijrobp.2009.02.019

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  31 in total

1.  Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning.

Authors:  Najeeb Chowdhury; Robert Toth; Jonathan Chappelow; Sung Kim; Sabin Motwani; Salman Punekar; Haibo Lin; Stefan Both; Neha Vapiwala; Stephen Hahn; Anant Madabhushi
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

2.  Assessment of accuracy and efficiency of atlas-based autosegmentation for prostate radiotherapy in a variety of clinical conditions.

Authors:  I Simmat; P Georg; D Georg; W Birkfellner; G Goldner; M Stock
Journal:  Strahlenther Onkol       Date:  2012-06-07       Impact factor: 3.621

3.  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

4.  Fiducial marker for prostate radiotherapy: comparison of 0.35- and 0.5-mm-diameter computed tomography and magnetic resonance images.

Authors:  Osamu Tanaka; Hisao Komeda; Takayoshi Iida; Masayoshi Tamaki; Kensaku Seike; Daiki Kato; Shigeki Hirose; Daisuke Kawaguchi; Takamasa Yokoyama
Journal:  Radiol Med       Date:  2016-12-15       Impact factor: 3.469

Review 5.  Improving radiotherapy quality assurance in clinical trials: assessment of target volume delineation of the pre-accrual benchmark case.

Authors:  S Gwynne; E Spezi; D Sebag-Montefiore; S Mukherjee; E Miles; J Conibear; J Staffurth
Journal:  Br J Radiol       Date:  2013-02-07       Impact factor: 3.039

Review 6.  Advances in Prostate Cancer Magnetic Resonance Imaging and Positron Emission Tomography-Computed Tomography for Staging and Radiotherapy Treatment Planning.

Authors:  Drew Moghanaki; Baris Turkbey; Neha Vapiwala; Behfar Ehdaie; Steven J Frank; Patrick W McLaughlin; Mukesh Harisinghani
Journal:  Semin Radiat Oncol       Date:  2016-08-31       Impact factor: 5.934

7.  Quality comparison between three-dimensional T2-weighted SPACE and two-dimensional T2-weighted turbo spin echo magnetic resonance images for the brachytherapy planning evaluation of prostate and periprostatic anatomy.

Authors:  Tharakeswara K Bathala; Aradhana M Venkatesan; Jingfei Ma; Priyadarshini Bhosale; Wei Wei; Rajat J Kudchadker; Jihong Wang; Mitchell S Anscher; Chad Tang; Teresa L Bruno; Steven J Frank; Janio Szklaruk
Journal:  Brachytherapy       Date:  2020-05-10       Impact factor: 2.362

8.  Patient positioning variations to reduce dose to normal tissues during 3D conformal radiotherapy for high-risk prostate cancer.

Authors:  K Czigner; P Agoston; G Forgács; M Kásler
Journal:  Strahlenther Onkol       Date:  2012-05-23       Impact factor: 3.621

9.  Post-radiotherapy prostate biopsies reveal heightened apex positivity relative to other prostate regions sampled.

Authors:  Kris T Huang; Radka Stoyanova; Gail Walker; Kiri Sandler; Matthew T Studenski; Nesrin Dogan; Tahseen Al-Saleem; Mark K Buyyounouski; Eric M Horwitz; Alan Pollack
Journal:  Radiother Oncol       Date:  2015-05-08       Impact factor: 6.280

10.  Implementation of intensity modulated radiotherapy for prostate cancer in a private radiotherapy service in Mexico.

Authors:  María Adela Poitevin-Chacón; Gabriel Reséndiz González; Adriana Alvarado Zermeño; Jesús Manuel Flores Castro; Christian Haydée Flores Balcázar; Samuel Rosales Pérez; Miguel Angel Pérez Pastenes; Alejandro Rodríguez Laguna; Patricio Vázquez Fernández; Alejandro Calvo Fernández; Jorge Bastida Ventura
Journal:  Rep Pract Oncol Radiother       Date:  2014-12-12
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