La radiothérapie stéréotaxique par rayonnement synchrotron (SSRT) est une technique innovante utilisant un faisceau synchrotron de rayons X monochromatiques entre 50 et 100 keV. Une augmentation de dose par prise de contraste est obtenue localement par effet photoélectrique sur unélément lourd injecté dans le volume cible (tumeur cérébrale). Des essais cliniques de SSRT sont encours de préparation à l’ESRF (établissement européen de rayonnement synchrotron). Un systèmede planification de traitement (TPS) est nécessaire pour le calcul de l’énergie déposée au patient(dose) pendant le traitement. Une version dédiée du TPS ISOgray a donc été développée. Ce travaildécrit l’adaptation du TPS réalisée, particulièrement au niveau du module de simulation virtuelleet de dosimétrie. Pour un calcul de dose, le TPS utilise une simulation Monte Carlo spécifique desphotons polarisés et de basse énergie. Les simulations sont réalisées depuis la source synchrotron,à travers toute la géométrie de la ligne de lumière modélisée et dans le patient. Pour ce calcul, desmatériaux spécifiques ont été notamment ajoutés pour la modélisation voxélisée du patient, afin deprendre en compte la présence d’iode dans certains tissus. Le processus de calcul Monte Carlo a étéoptimisé en vitesse et précision. De plus, un calcul des doses absolues et des temps d’irradiation,particulier à la SSRT, a été ajouté au TPS. Grâce à des mesures de rendements, profils de dose, etdoses absolues, réalisées à l’ESRF en cuve à eau et en fantôme solide avec ou sans couche d’os, lecalcul de dose du TPS a été validé pour la SSRT. / Contrast-enhanced stereotactic synchrotron radiation therapy (SSRT) is an innovative techniquebased on localized dose-enhancement effects obtained by reinforced photoelectric absorption inthe tumor. Medium energy monochromatic X-rays (50 - 100 keV) are used for irradiating tumorspreviously loaded with a high-Z element. Clinical trials of SSRT are being prepared at the EuropeanSynchrotron Radiation Facility (ESRF), an iodinated contrast agent will be used. In order tocompute the energy deposited in the patient (dose), a dedicated treatment planning system (TPS)has been developed for the clinical trials, based on the ISOgray TPS. This work focuses on the SSRTspecific modifications of the TPS, especially to the PENELOPE-based Monte Carlo dose engine. TheTPS uses a dedicated Monte Carlo simulation of medium energy polarized photons to compute thedeposited energy in the patient. Simulations are performed considering the synchrotron source, themodeled beamline geometry and finally the patient. Specific materials were also implemented inthe voxelized geometry of the patient, to consider iodine concentrations in the tumor. The computationprocess has been optimized and parallelized. Finally a specific computation of absolute dosesand associated irradiation times (instead of monitor units) was implemented. The dedicated TPSwas validated with depth dose curves, dose profiles and absolute dose measurements performedat the ESRF in a water tank and solid water phantoms with or without bone slabs.

A hybrid stochastic-deterministic method, COMET-PE, is developed for dose calculation in radiotherapy. Fast, accurate dose calculation is a key component of successful radiotherapy treatment. To calculate dose, COMET-PE solves the coupled Boltzmann Transport Equations for photons and electrons. The method uses a deterministic iteration to compose response functions that are pre-computed using Monte Carlo. Thus, COMET-PE takes advantage of Monte Carlo physics without incurring the computational costs typically required for statistical convergence. This work extends the method to 3-D problems with realistic source distributions. Additionally, the performance of the deterministic solver is improved, taking advantage of both shared-memory and distributed-memory parallelism to enhance efficiency. To verify the method’s accuracy, it is compared with the DOSXYZnrc (Monte Carlo) method using three different benchmark problems: a heterogeneous slab phantom, a water phantom, and a CT-based lung phantom. For the slab phantom, all errors are less than 1.5% of the maximum dose or less than 3% of local dose. For both the water phantom and the lung phantom, over 97% of voxels receiving greater than 10% of the maximum dose pass a 2% (relative error) / 2 mm (distance-to-agreement) test. Timing comparisons show that COMET-PE is roughly 10-30 times faster than DOSXYZnrc. Thus, the new method provides a fast, accurate alternative to Monte Carlo for dose calculation in radiotherapy treatment planning.

<p>Scanned proton beams offer the possibility to take full advantage of the dose deposition properties of proton beams, i.e. the limited range and sharp peak at the end of the range, the Bragg peak. By actively scanning the proton beam, laterally by scanning magnets and longitudinally by shifting the energy, the position of the Bragg peak can be controlled in all three dimensions, thereby enabling high dose delivery to the target volume only. A typical scanned proton beam line consists of a pair of scanning magnets to perform the lateral beam scanning and possibly a range shifter and a multi-leaf collimator (MLC). Part of this thesis deals with the development of control, supervision and verification methods for the scanned proton beam line at the The Svedberg laboratory in Uppsala, Sweden. </p><p>Radiotherapy is preceded by treatment planning, where one of the main objectives is predicting the dose to the patient. The dose is calculated by a dose calculation engine and the accuracy of the results is of course dependent on the accuracy and sophistication of the transport and interaction models of the dose engine itself. But, for the dose distribution calculation to have any bearing on the reality, it needs to be started with relevant input in accordance with the beam that is emitted from the treatment machine. This input is provided by the beam model. As such, the beam model is the link between the reality (the treatment machine) and the treatment planning system. The beam model contains methods to characterise the treatment machine and provides the dose calculation with the reconstructed beam phase space, in some convenient representation. In order for a beam model to be applicable in a treatment planning system, its methods have to be general. </p><p>In this thesis, a beam model for a scanned proton beam is developed. The beam model contains models and descriptions of the beam modifying elements of a scanned proton beam line. Based on a well-defined set of generally applicable characterisation measurements, ten beam model parameters are extracted, describing the basic properties of the beam, i.e. the energy spectrum, the radial and the angular distributions and the nominal direction. Optional beam modifying elements such as a range shifter and an MLC are modelled by dedicated Monte Carlo calculation algorithms. The algorithm that describes the MLC contains a parameterisation of collimator scatter, in which the rather complex phase space of collimator scattered protons has been parameterised by a set of analytical functions. </p><p>Dose calculations based on the phase space reconstructed by the beam model are in good agreement with experimental data. This holds both for the dose distribution of the elementary pencil beam, reflecting the modelling of the basic properties of the scanned beam, as well as for complete calculations of collimated scanned fields.</p>

Electron beam therapy planning and custom electron bolus design were identified as areas in which improvements in equipment and techniques could lead to significant improvements in treatment delivery and patient outcomes. The electron pencil beam algorithms used in conventional Treatment Planning Systems do not accurately model the dose distribution in irregularly shaped objects, near oblique surfaces or in inhomogeneous media. For this reason, at Christchurch Oncology Centre the TPS is not relied on for planning electron beam treatments. This project is an initial study of ways to improve the design of custom electron bolus, the planning of electron beam therapy, and other radiation therapy simulation tasks, by developing a system for the accurate assessment of dose distributions under irregular contours in clinically relevant situations. A shaped water phantom system and a diode array have been developed and tested. The design and construction of this water phantom dosimetry system are described, and its capabilities and limitations discussed. An EGS/BEAM Monte Carlo simulation system has been installed, and models of the Christchurch Oncology Centre linacs in 6MeV and 9MeV electron beam modes have been built and commissioned. A test was run comparing the EGS/BEAM Monte Carlo system and the CMS Xio conventional treatment planning system with the experimental measurement technique using the water phantom and the diode array. This test was successful as a proof of the concept of the experimental technique. At the conclusion of this project, the main limitation of the diode array system was the lack of data processing software. The array produces a large volume of raw data, but not enough processed data was produced during this project to match the spatial resolution of the computer models. An automated data processing system will be needed for clinical use of the array. It has been confirmed that Monte Carlo and pencil-beam algorithms predict significantly different dose distributions for an irregularly shaped object irradiated with megavoltage electron beams. The results from the diode array were consistent with the theoretical models. This project was an initial investigation. At the time of writing, the diode array and the water phantom systems were still at an early stage of development. The work reported here was performed to build, test and commission the equipment. Additional work will be needed to produce an instrument for clinical use. Research into electron beam therapy could be continued, or the equipment used to expand research into new areas.

Purpose: To assess the treatment modalities of pediatric dentists for restoring Class II lesions in primary molars. Methods: A survey of eight cases was emailed to AAPD members, who were asked to choose a stainless steel crown (SSC) or composite resin. Treatment choice was associated with provider type, years in practice, behavior management, lesion detection, and patient age. Results: Clinically detectable caries restored under general anesthesia were treated more often with a SSC. Faculty and residents chose a SSC at a greater rate. Providers with 10 or more years experience chose a SSC more often. Conclusions: The scope of treatment planning encompasses numerous factors. Because of the multifactorial nature of treatment planning for the pediatric dental patient, it would be beneficial for the AAPD to produce a treatment planning decision tree in order to better direct practitioners in their development of patient-centered treatment plans.

The objective of this dissertation is to develop treatment planning techniques that have the potential to improve radiation therapy of time-dependent (4D) anatomy. Specifically, this study examines dose estimation, dose evaluation, and decision making in the context of optimizing lung cancer radiation therapy. Two methods of dose estimation are compared in patients with locally advanced and early stage lung cancer: dose computed on a single image (3D-dose) and deformably registered, accumulated dose (or 4D-dose). The results indicate that differences between 3D- and 4D- dose are not significant in organs at risk (OARs), however, 4D-dose to a moving lung cancer target can deviate from 3D-dose. These differences imply that optimization of the 4D-dose through multiple-anatomy optimization (MAO) can improve radiation therapy in 4D-anatomy. MAO incorporates time-dependent target and OAR geometry while enabling a simple, clinically realizable delivery. MAO has the potential to enhance the therapeutic ratio in terms of target coverage and OAR sparing in 4D-anatomy. In dose evaluation within 4D-anatomy; dose-to-mass is a more intuitive and precise metric in estimating the effects of radiation in tissues. Assuming physical density is proportional to functional tissue density, dose-to-mass has a 1-1 correspondence with radiation damage. Dose-to-mass optimization boosts dose in massive regions of lung cancer targets and can reduce integral dose to lung by preferentially treating through regions of low-density lung tissue. Finally, multi-criteria optimization (MCO) is implemented in order to clarify decision making during plan design for lung cancer treatment. An MCO basis set establishes a patient-specific decision space which reveals trade-offs in OAR-dose at a fixed, constrained target dose. By interpolating the MCO basis set and evaluating the plan on 4D-anatomy, patient- and organ- specific conservatism in plan design can be expressed in real time. Through improved methods of dose estimation, dose evaluation, and decision making, this dissertation will positively impact radiation therapy of time-dependent anatomy.

Lung cancer is the leading cause of cancer-related deaths worldwide. Radiotherapy is one of the main treatment modalities of lung cancer. However, the achievable accuracy of radiotherapy treatment is limited for lung-based tumors due to respiratory motion. Four-dimensional radiotherapy explicitly accounts for anatomic motion by characterizing the motion, creating a treatment plan that accounts for this motion, and delivering this plan to the moving anatomy. This thesis focuses on the current problems and solutions throughout the course of four-dimensional radiotherapy. For characterization of respiratory-induced motion, patient tumor motion data were analyzed. It is shown that tumor motion can be significant during radiotherapy treatment, and its extent, direction, and linearity vary considerably between patients, between treatment fractions, and between respiratory cycles. After this, approaches to four-dimensional intensity-modulated radiation therapy treatment planning were developed and investigated. Among the techniques to manage respiratory motion, tumor tracking using a dynamic multileaf collimator delivery technique was chosen as a promising method. A formalism to solve a general four-dimensional intensity-modulated radiation therapy treatment-planning problem was developed. Specific solutions to this problem accounting for tumor motion initially in one dimension and extending this to three dimensions were developed and investigated using four-dimensional computed tomography planning scans of lung cancer patients. For four-dimensional radiotherapy treatment delivery, accuracy of two-dimensional projection imaging methods was investigated. Geometric uncertainty due to the limitation of two-dimensional imaging in monitoring three-dimensional tumor motion during treatment delivery was quantified. This geometric uncertainty can be used to estimate proper margins when a single two-dimensional projection imager is used for four-dimensional treatment delivery. Lastly, tumor-tracking delivery using a moving average algorithm was investigated as an alternative delivery technique that reduces mechanical motion constraints of a multileaf collimator. Moving average tracking provides an approximate solution that can be immediately implemented for delivery of four-dimensional intensity-modulated radiation therapy treatment. The clinical implementation of four-dimensional guidance, intensity-modulated radiation therapy treatment planning, and dynamic multileaf collimator tracking delivery may have a positive impact on the treatment of lung cancer.

The quality of the dynamics within individuals’ early relationships with their caregivers can impact the overall mental health, functioning, and quality of future relationships for those individuals (Aguilar, Sroufe, Egeland, & Carlson, 2000; Bowlby, 1988; Carlson, 1998; Cassidy & Shaver, 2008; Deklyen & Greenberg, 2008; Johnson & Whiffen, 2003; Levy & Orlans, 1998; Ogawa et al., 1997; Renken et al., 1989; Warren, Huston, Egeland, & Sroufe, 1997). Attachment Theory describes the nature, characteristics, and dynamics of the relationship between a child and caregiver, and delineates how an internal concept of self and self and others is created via those relationships (Bowlby, 1988; Brisch, 2011; Levy & Orlans, 1998; Solomon & George, 1999). Assessing for and addressing attachment issues early in life, and helping to establish a secure base for a child, can serve as a preventative measure for thwarting a variety of interpersonal and self-concept issues (Bowlby, 1988; Martin, 2005; Morisset et al., 1990; Rutter, 1987). Several play therapy interventions for addressing attachment issues exist, yet no framework existed to describe how theoretical knowledge of Attachment Theory may be integrated into clinical practice from initial contact through termination. The purpose of this research was to generate a framework that explored and described how play therapists integrated knowledge of Attachment Theory within their treatment planning. The constructed framework may be used by educators, play therapists and families to conceptualize the play therapy process from an attachment-based perspective.

O tratamento de câncer possui diversas modalidades. Uma delas é a utilização de fontes de radiação como principal protagonista do tratamento. A radioterapia e a medicina nuclear são exemplos desse tipo de tratamento. Por utilizarem a radiação ionizante como principal ferramenta para a terapia, há a necessidade de se efetuar diversas simulações do tratamento a fim de maximizar a dose nos tecidos tumorais sem ultrapassar os limites de dose nos tecidos sadios circunvizinhos. Os sistemas utilizados na simulação desses tipos de terapia recebem o nome de Sistemas de Planejamento Dosimétrico. A medicina nuclear e a radioterapia possuem seus próprios sistemas de planejamento dosimétricos devido a grande diversidade das informações necessárias às suas simulações. Os sistemas de planejamento em radioterapia são mais consolidados do que os de medicina nuclear e por tal motivo um sistema que aborde tanto os casos de radioterapia como de medicina nuclear contribuiria para significativos avanços na área de medicina nuclear. Dessa forma, o objetivo do trabalho foi modelar um Sistema de Planejamento Dosimétrico com o uso do código de Monte Carlo MCNP6 Monte Carlo N-Particle Transport Code que permitisse incorporar os casos de radioterapia e medicina nuclear e que fosse extensível a novos tipos de tratamentos. A modelagem desse sistema resultou na construção de um Framework, orientado a objetos, nomeado IBMC o qual auxilia no desenvolvimento de sistemas de planejamento que necessitam interpretar grandes quantidades de informações com o objetivo de escrever o arquivo base do MCNP6. O IBMC permitiu desenvolver de maneira rápida e prática sistemas de planejamento para radioterapia e medicina nuclear e os resultados foram validados com sistemas já consolidados. Ele também mostrou alto potencial para desenvolver sistemas de planejamento de novos tipos de tratamentos que utilizam a radiação ionizante. / Cancer therapy has many branches and one of them is the use of radiation sources as treatment leading method. Radiotherapy and nuclear medicine are examples of these treatment types. For using the ionization radiation as main tool for the therapy, there is the need of crafting many treatment simulation in order to maximum the tumoral tissue dose without throught the dose limit in health tissue surrounding. Treatment planning systems (TPS) are systems which have the purpose of simulating these therapy types. Nuclear medicine and radiotherapy have many distinct features linked to the therapy mode and consequently they have different TPS destined for each. The radiotherapy TPS is more developed than the nuclear medicine TPS and by that reason the development of a TPS that was similar to the radiotherapy TPS, but enough generic for include other therapy types, it will contribute with significant advances in nuclear medicine and in others therapy types with radiation. Based on this, the goal of work was to model a TPS that utilizes the Monte Carlo N-Particle Transport code (MCNP6) in order to simulate radiotherapy therapy, nuclear medicine therapy and with potential for simulating other therapy types too. The result of this work was the creation of a Framework in Java language, objectoriented, named IBMC which will assist in the development of new TPS with MCNP6 code. The IBMC allowed to develop rapidly and easily TPS for radiotherapy and nuclear medicine and the results were validated with systems already consolidated. The IBMC showed high potential for developing TPS by new therapy types.

Techniques médicales en plein essor suscitant d’importants espoirs thérapeutiques, les radiothérapies internes vectorisées (RIV) consistent à administrer un radiopharmaceutique pour traiter sélectivement les tumeurs. A l’heure actuelle, l’activité injectée au patient est généralement standardisée. Cependant, afin d’établir des relations dose-effet robustes et d’optimiser le traitement en préservant au mieux les tissus sains, une dosimétrie personnalisée doit être réalisée, à l’image des pratiques cliniques existant en radiothérapie externe. Dans ce cadre, l’objectif de la thèse était de développer, à l’aide du logiciel OEDIPE, une méthode de dosimétrie personnalisée reposant sur des calculs Monte Carlo directs. La méthode mise au point permet de calculer la distribution tridimensionnelle des doses absorbées en fonction de l’anatomie du patient, définie à l’aide d’images TDM ou IRM, ainsi que de la biodistribution de l’activité spécifique au patient, définie à partir de données d’émission TEMP ou TEP. Des aspects radiobiologiques, tels que les différences de radiosensibilité et de vitesse de réparation entre les tissus sains et les lésions tumorales, ont également été intégrés par l’intermédiaire du modèle linéaire-quadratique. Cette méthode a été appliquée à la radiothérapie interne sélective (SIRT) qui consiste à injecter des 90Y-microsphères pour traiter sélectivement les cancers hépatiques inopérables. Les distributions des doses absorbées et doses biologiques efficaces (BED) ainsi que les doses biologiques efficaces équivalentes uniformes (EUD) aux lésions hépatiques ont été calculées à partir des distributions d’activité de l’étape d’évaluation aux 99mTc-MAA pour 18 patients traités à l’hôpital européen Georges Pompidou. Ces résultats ont été comparés aux méthodes classiques utilisées en clinique et l’intérêt d’une dosimétrie précise et personnalisée pour la planification de traitement a été étudié. D’une part, la possibilité d’augmenter l’activité de manière personnalisée a été mise en évidence par le calcul de l’activité maximale injectable au patient en fonction de critères de tolérance donnés aux organes à risque. D’autre part, l’utilisation des grandeurs radiobiologiques a également permis d’évaluer l’apport potentiel de protocoles fractionnés en SIRT. L’outil développé peut donc être utilisé comme aide à l’optimisation des plans de traitement. En outre, une étude a été initiée en vue d’améliorer la reconstruction des données post-traitement de la TEMP-90Y. L’évaluation à partir de ces données des doses délivrées lors du traitement pourra permettre, d’une part, de prédire le contrôle tumoral et d’anticiper le risque de toxicité aux tissus sains et, d’autre part, d’établir des relations dose-effet précises pour ces traitements. / Medical techniques in full expansion arousing high therapeutic expectations, targeted radionuclide therapies (TRT) consist of administering a radiopharmaceutical to selectively treat tumors. Nowadays, the activity injected to the patient is generally standardized. However, in order to establish robust dose-effect relationships and to optimize treatments while sparing healthy tissues at best, a personalized dosimetry must be performed, just like actual clinical practice in external beam radiotherapy. In that context, this PhD main objective was to develop, using the OEDIPE software, a methodology for personalized dosimetry based on direct Monte Carlo calculations. The developed method enables to calculate the tridimensional distribution of absorbed doses depending on the patient anatomy, defined from CT or MRI data, and on the patient-specific activity biodistribution, defined from SPECT or PET data. Radiobiological aspects, such as differences in radiosensitivities and repair time constants between tumoral and healthy tissues, have also been integrated through the linear-quadratic model. This methodology has been applied to the selective internal radiation therapy (SIRT) which consists in the injection of 90Y-microspheres to selectively treat unresectable hepatic cancers. Distributions of absorbed doses and biologically effective doses (BED) along with the equivalent uniform biologically effective doses (EUD) to hepatic lesions have been calculated from 99mTc-MAA activity distributions obtained during the evaluation step for 18 patients treated at hôpital européen Georges Pompidou. Those results have been compared to classical methods used in clinics and the interest of accurate and personalized dosimetry for treatment planning has been investigated. On the one hand, the possibility to increase the activity in a personalized way has been highlighted with the calculation of the maximal activity that could be injected to the patient while meeting tolerance criteria on organs at risk. On the other hand, the use of radiobiological quantities has also enabled to evaluate the potential added value of fractionated protocols in SIRT. The developed tool can thus be used as a help for the optimization of treatment plans. Moreover, a study has been initiated to improve the reconstruction of post-treatment data from 90Y-SPECT. The estimation from those data of doses delivered during treatment could allow to predict tumoral control and to anticipate healthy tissues toxicity as well as to establish precise dose-effect relationships for those treatments.