Image registration, contour propagation and dose accumulation of external beam and brachytherapy in gynecological radiotherapy.

This review provides an overview of the current status of image registration for image guided gynaecological brachytherapy including combination with external beam radiotherapy. Contour propagation between individual fractions and dose accumulation can be useful for cervix cancer radiotherapy. Contour mapping and applicator reconstruction with rigid registration based on the applicator geometry provide good accuracy. However, deformable image registration is particularly challenging in the pelvic region, due to the large and complex deformations caused by tumor shrinkage, bladder and rectum filling, insertion of a brachytherapy applicator and presence of packing material. This causes substantial limitations and uncertainties when using it in the clinical workflow so that the current generation of deformable image registration algorithms is not yet robust enough to handle complexities involving the dose accumulation of external beam and brachytherapy. The direct addition of doses provides a reasonable estimate of the total absorbed dose. However, in case of significant dose gradients from external beam boosts or midline-shielding adding dose contributions from the different radiotherapy modalities and fractions remains subject to large uncertainties.

[1]  Daniel Rueckert,et al.  Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.

[2]  Yoshihiro Kuroda,et al.  Evaluation of deformable image registration between external beam radiotherapy and HDR brachytherapy for cervical cancer with a 3D‐printed deformable pelvis phantom , 2017, Medical physics.

[3]  Iori Sumida,et al.  Estimation of the total rectal dose of radical external beam and intracavitary radiotherapy for uterine cervical cancer using the deformable image registration method , 2015, Journal of radiation research.

[4]  K. Brock,et al.  Deformable image registration for dose mapping between external beam radiotherapy and brachytherapy images of cervical cancer. , 2019, Physics in medicine and biology.

[5]  Christian Kirisits,et al.  The EMBRACE II study: The outcome and prospect of two decades of evolution within the GEC-ESTRO GYN working group and the EMBRACE studies , 2018, Clinical and translational radiation oncology.

[6]  Christian Kirisits,et al.  Recommendations from Gynaecological (GYN) GEC-ESTRO Working Group: considerations and pitfalls in commissioning and applicator reconstruction in 3D image-based treatment planning of cervix cancer brachytherapy. , 2010, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[7]  P. Grigsby,et al.  Three-dimensional dose accumulation in pseudo-split-field IMRT and brachytherapy for locally advanced cervical cancer. , 2015, Brachytherapy.

[8]  Hojin Kim,et al.  Validating Dose Uncertainty Estimates Produced by AUTODIRECT: An Automated Program to Evaluate Deformable Image Registration Accuracy , 2017, Technology in cancer research & treatment.

[9]  K. Tanderup,et al.  Parametrial boosting in locally advanced cervical cancer: combined intracavitary/interstitial brachytherapy vs. intracavitary brachytherapy plus external beam radiotherapy. , 2015, Brachytherapy.

[10]  Sebastian Schafer,et al.  Extra-dimensional Demons: a method for incorporating missing tissue in deformable image registration. , 2012, Medical physics.

[11]  E. Schreibmann,et al.  Anatomic structure-based deformable image registration of brachytherapy implants in the treatment of locally advanced cervix cancer. , 2016, Brachytherapy.

[12]  Linghong Zhou,et al.  Investigating rectal toxicity associated dosimetric features with deformable accumulated rectal surface dose maps for cervical cancer radiotherapy , 2018, Radiation oncology.

[13]  Ludvig Paul Muren,et al.  Propagation of target and organ at risk contours in radiotherapy of prostate cancer using deformable image registration , 2010, Acta oncologica.

[14]  I. Chetty,et al.  Caution Must Be Exercised When Performing Deformable Dose Accumulation for Tumors Undergoing Mass Changes During Fractionated Radiation Therapy. , 2016, International journal of radiation oncology, biology, physics.

[15]  I. Chetty,et al.  Adaptive radiotherapy for NSCLC patients: utilizing the principle of energy conservation to evaluate dose mapping operations , 2017, Physics in medicine and biology.

[16]  L Holloway,et al.  Deformable image registration for cervical cancer brachytherapy dose accumulation: Organ at risk dose-volume histogram parameter reproducibility and anatomic position stability. , 2017, Brachytherapy.

[17]  M. Viergever,et al.  Registration of structurally dissimilar images in MRI-based brachytherapy , 2014, Physics in medicine and biology.

[18]  M. Moerland,et al.  Determining DVH parameters for combined external beam and brachytherapy treatment: 3D biological dose adding for patients with cervical cancer. , 2010, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[19]  M W Vannier,et al.  Image-based dose planning of intracavitary brachytherapy: registration of serial-imaging studies using deformable anatomic templates. , 2001, International journal of radiation oncology, biology, physics.

[20]  K. Brock,et al.  Deformable image registration-based contour propagation yields clinically acceptable plans for MRI-based cervical cancer brachytherapy planning. , 2018, Brachytherapy.

[21]  Pascal Haigron,et al.  Deformable image registration for radiation therapy: principle, methods, applications and evaluation , 2019, Acta oncologica.

[22]  C. Rasch,et al.  Dose warping uncertainties for the accumulated rectal wall dose in cervical cancer brachytherapy. , 2017, Brachytherapy.

[23]  N. Kadoya,et al.  Evaluation of rectum and bladder dose accumulation from external beam radiotherapy and brachytherapy for cervical cancer using two different deformable image registration techniques , 2017, Journal of radiation research.

[24]  C. Rasch,et al.  Role of deformable image registration for delivered dose accumulation of adaptive external beam radiation therapy and brachytherapy in cervical cancer , 2018, Journal of contemporary brachytherapy.

[25]  P. Petrič,et al.  Virtual modelling of novel applicator prototypes for cervical cancer brachytherapy , 2016, Radiology and oncology.

[26]  Takeshi Ebara,et al.  Assessing cumulative dose distributions in combined radiotherapy for cervical cancer using deformable image registration with pre-imaging preparations , 2014, Radiation oncology.

[27]  C. Kirisits,et al.  A multicentre comparison of the dosimetric impact of inter- and intra-fractional anatomical variations in fractionated cervix cancer brachytherapy , 2013, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[28]  Eigil Samset,et al.  A Non-rigid Registration Framework That Accommodates Resection and Retraction , 2009, IPMI.

[29]  András Zolnay,et al.  Improving anatomical mapping of complexly deformed anatomy for external beam radiotherapy and brachytherapy dose accumulation in cervical cancer. , 2015, Medical physics.

[30]  C. Kirisits,et al.  Adaptive image guided brachytherapy for cervical cancer: A combined MRI-/CT-planning technique with MRI only at first fraction , 2013, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[31]  C. Kirisits,et al.  Image Guided Adaptive Brachytherapy in cervix cancer: A new paradigm changing clinical practice and outcome. , 2016, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[32]  Linghong Zhou,et al.  A non-rigid point matching method with local topology preservation for accurate bladder dose summation in high dose rate cervical brachytherapy , 2016, Physics in medicine and biology.

[33]  D. Hill,et al.  Non-rigid image registration: theory and practice. , 2004, The British journal of radiology.

[34]  Kari Tanderup,et al.  Uncertainties of deformable image registration for dose accumulation of high-dose regions in bladder and rectum in locally advanced cervical cancer. , 2015, Brachytherapy.

[35]  Pascal Haigron,et al.  CBCT‐guided evolutive library for cervical adaptive IMRT , 2018, Medical physics.

[36]  C. Rasch,et al.  Structure-based deformable image registration: Added value for dose accumulation of external beam radiotherapy and brachytherapy in cervical cancer. , 2017, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[37]  Hojin Kim,et al.  An automated deformable image registration evaluation of confidence tool , 2016, Physics in medicine and biology.

[38]  S Wognum,et al.  Validation of deformable image registration algorithms on CT images of ex vivo porcine bladders with fiducial markers. , 2014, Medical physics.

[39]  I Spadinger,et al.  Propagation of registration uncertainty during multi-fraction cervical cancer brachytherapy. , 2017, Physics in medicine and biology.

[40]  M. Saiful Huq,et al.  Mapping of dose distribution from IMRT onto MRI-guided high dose rate brachytherapy using deformable image registration for cervical cancer treatments: preliminary study with commercially available software , 2014, Journal of contemporary brachytherapy.

[41]  Radhe Mohan,et al.  A deformable image registration method to handle distended rectums in prostate cancer radiotherapy. , 2006, Medical physics.

[42]  F Verhaegen,et al.  Dose distribution for gynecological brachytherapy with dose accumulation between insertions: Feasibility study. , 2016, Brachytherapy.

[43]  Swamidas V Jamema,et al.  Commissioning and validation of commercial deformable image registration software for adaptive contouring. , 2018, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[44]  Hojin Kim,et al.  The level of detail required in a deformable phantom to accurately perform quality assurance of deformable image registration , 2016, Physics in medicine and biology.

[45]  Lara P Bonner Millar,et al.  Assessment of cumulative external beam and intracavitary brachytherapy organ doses in gynecologic cancers using deformable dose summation. , 2015, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[46]  E. J. Gómez,et al.  Methodology for registration of distended rectums in pelvic CT studies. , 2012, Medical physics.

[47]  Jason Dowling,et al.  A review of segmentation and deformable registration methods applied to adaptive cervical cancer radiation therapy treatment planning , 2015, Artif. Intell. Medicine.

[48]  Meritxell Arenas,et al.  Dose accumulation during vaginal cuff brachytherapy based on rigid/deformable registration vs. single plan addition. , 2014, Brachytherapy.

[49]  Colin J. Brown,et al.  Association of bladder dose with late urinary side effects in cervical cancer high-dose-rate brachytherapy. , 2017, Brachytherapy.

[50]  Christian Kirisits,et al.  Potential role of TRAns Cervical Endosonography (TRACE) in brachytherapy of cervical cancer: proof of concept , 2016, Journal of contemporary brachytherapy.

[51]  Linghong Zhou,et al.  A segmentation and point-matching enhanced efficient deformable image registration method for dose accumulation between HDR CT images , 2015, Physics in medicine and biology.

[52]  R. Valicenti,et al.  The use of MRI deformable image registration for CT-based brachytherapy in locally advanced cervical cancer. , 2016, Brachytherapy.

[53]  Luiza Bondar,et al.  A symmetric nonrigid registration method to handle large organ deformations in cervical cancer patients. , 2010, Medical physics.

[54]  T. Hellebust,et al.  Comparative analyses of the dynamic properties of the rectum studied by cryo-sections of human cadavers and pelvic CT scans of patients. , 2003, The British journal of radiology.

[55]  Ghassan Hamarneh,et al.  Validation of non-rigid point-set registration methods using a porcine bladder pelvic phantom , 2016, Physics in medicine and biology.

[56]  Min Yao,et al.  Quantitative Analysis Tools and Digital Phantoms for Deformable Image Registration Quality Assurance , 2015, Technology in cancer research & treatment.

[57]  Kari Tanderup,et al.  Simple DVH parameter addition as compared to deformable registration for bladder dose accumulation in cervix cancer brachytherapy. , 2013, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[58]  Martijn Ketelaars,et al.  Conventional, conformal, and intensity-modulated radiation therapy treatment planning of external beam radiotherapy for cervical cancer: The impact of tumor regression. , 2006, International journal of radiation oncology, biology, physics.

[59]  C. Kirisits,et al.  Combining transrectal ultrasound and CT for image-guided adaptive brachytherapy of cervical cancer: Proof of concept. , 2016, Brachytherapy.

[60]  Sarang Joshi,et al.  Large deformation three-dimensional image registration in image-guided radiation therapy , 2005, Physics in medicine and biology.

[61]  G. Tracton,et al.  Image registration: an essential part of radiation therapy treatment planning. , 1998, International journal of radiation oncology, biology, physics.

[62]  Jan Flusser,et al.  Image registration methods: a survey , 2003, Image Vis. Comput..

[63]  Christian Kirisits,et al.  Direct reconstruction of the Vienna applicator on MR images. , 2009, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[64]  T. Tong,et al.  FZUImageReg: A toolbox for medical image registration and dose fusion in cervical cancer radiotherapy , 2017, PloS one.

[65]  S. Jamema,et al.  Inter-application variation of dose and spatial location of D(2cm(3)) volumes of OARs during MR image based cervix brachytherapy. , 2013, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.