Literature DB >> 16580496

Systematic evaluation of MRI findings in different stages of treatment of cervical cancer: potential of MRI on delineation of target, pathoanatomic structures, and organs at risk.

Johannes C A Dimopoulos1, Gerdi Schard, Daniel Berger, Stefan Lang, Gregor Goldner, Thomas Helbich, Richard Pötter.   

Abstract

PURPOSE: To compare magnetic resonance imaging (MRI) findings at different stages of cervix cancer treatment and to define the potential of MRI to delineate the gross tumor volume (GTV), clinical target volume (CTV), pathoanatomic structures, and organs at risk (OAR) in brachytherapy. METHODS AND MATERIALS: Forty-nine patients underwent MRI at diagnosis and at brachytherapy. The ability to discriminate anatomic structures on MRI was assessed (quality factor: 0 = inability to discriminate; 1 = fair discrimination; 2 = good discrimination; 3 = excellent discrimination). The overall ability to visualize (percentage of patients with quality factors greater than 0) and the overall discrimination quality score (mean quality factors of all patients) were estimated for the applicator, GTV at diagnosis (GTV(D)), GTV at brachytherapy (GTV(BT))/"gray zones," cervix rim/uterine corpus, OAR, vaginal wall, and parametria.
RESULTS: The overall ability to visualize the applicator on MRI at brachytherapy was 100%; for the GTV(BT)/"gray zones," cervix rim/uterine corpus, OAR, and vaginal wall, visualization was 98% (overall discrimination quality factors: 1.2, 2.9, 2.1, 1.9, 1.7, and 2.6). Three of 4 borders of parametrial space were defined in more than 98% (discrimination quality factors: 2.9, 2.1, and 1.2).
CONCLUSION: Magnetic resonance imaging provides appropriate information for definition of the applicator, GTV, CTV, pathoanatomic structures, and OAR that enables precise delineation for cervix cancer brachytherapy.

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Year:  2006        PMID: 16580496     DOI: 10.1016/j.ijrobp.2005.10.017

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


  34 in total

1.  An evaluation of the variability of tumor-shape definition derived by experienced observers from CT images of supraglottic carcinomas (ACRIN protocol 6658).

Authors:  Jay S Cooper; Suresh K Mukherji; Alicia Y Toledano; Clifford Beldon; Ilona M Schmalfuss; Robert Amdur; Scott Sailer; Laurie A Loevner; Phil Kousouboris; K Kian Ang; Jean Cormack; JoRean Sicks
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-01-08       Impact factor: 7.038

2.  Local experience in cervical cancer imaging: Comparison in tumour assessment between TRUS and MRI.

Authors:  Claudia Ordeanu; Diana Cristina Pop; Radu Badea; Csaba Csutak; Nicolae Todor; Calin Ordeanu; Reka Kerekes; Ovidiu Coza; Viorica Nagy; Patriciu Achimas-Cadariu; Alexandru Irimie
Journal:  Rep Pract Oncol Radiother       Date:  2015-02-17

3.  MRI-based pre-planning in patients with cervical cancer treated with three-dimensional brachytherapy.

Authors:  M Dolezel; K Odrazka; J Vanasek; T Kohlova; T Kroulik; K Kudelka; D Spitzer; M Mrklovsky; M Tichy; J Zizka; L Jalcova
Journal:  Br J Radiol       Date:  2011-09       Impact factor: 3.039

Review 4.  Image-based brachytherapy for cervical cancer.

Authors:  John A Vargo; Sushil Beriwal
Journal:  World J Clin Oncol       Date:  2014-12-10

5.  Feasibility of transrectal ultrasonography for assessment of cervical cancer.

Authors:  M P Schmid; R Pötter; P Brader; A Kratochwil; G Goldner; K Kirchheiner; A Sturdza; C Kirisits
Journal:  Strahlenther Onkol       Date:  2012-12-21       Impact factor: 3.621

6.  MRI assessment of cervical cancer for adaptive radiotherapy.

Authors:  Johannes C A Dimopoulos; Gertrude Schirl; Anja Baldinger; Thomas H Helbich; Richard Pötter
Journal:  Strahlenther Onkol       Date:  2009-05-15       Impact factor: 3.621

7.  Classical tandem-source dwelling covering the entire uterus: essential in modern intracavitary radiotherapy for cervical cancer?

Authors:  Kiyoshi Ohara; Keiko Nemoto; Kayoko Ohnishi; Takayuki Hashimoto; Nobuyoshi Fukumitsu; Masaharu Hata; Shinji Sugahara; Koichi Tokuuye; Yasuyuki Akine
Journal:  Radiat Med       Date:  2007-10-26

8.  Residual tumour volumes and grey zones after external beam radiotherapy (with or without chemotherapy) in cervical cancer patients. A low-field MRI study.

Authors:  M P Schmid; B Mansmann; M Federico; J C A Dimopoulous; P Georg; E Fidarova; W Dörr; R Pötter
Journal:  Strahlenther Onkol       Date:  2013-01-25       Impact factor: 3.621

9.  Dosimetric and clinical outcomes of CT based HR-CTV delineation for HDR intracavitary brachytherapy in carcinoma cervix - a retrospective study.

Authors:  Anis Bandyopadhyay; Arnab Kumar Ghosh; Bappaditya Chhatui; Dhiman Das
Journal:  Rep Pract Oncol Radiother       Date:  2021-04-14

10.  Task group 284 report: magnetic resonance imaging simulation in radiotherapy: considerations for clinical implementation, optimization, and quality assurance.

Authors:  Carri K Glide-Hurst; Eric S Paulson; Kiaran McGee; Neelam Tyagi; Yanle Hu; James Balter; John Bayouth
Journal:  Med Phys       Date:  2021-07       Impact factor: 4.071

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