3-dimensional Radiotherapy Research Articles

Theory and numerical study on three dimensional discrete transfer radiation model

The theory of three-dimensional discrete transfer radiation model is expounded in detail in this paper. The computer program has also been written using this method here. Two kinds of radiation heat transfer problems have been simulated with numerical method using the computer program, and the predictions carried out are quite in agreement with the exact results. It shows that the three-dimensional discrete transfer radiation model is one of the suitable way to obtain heat flux and temperature in various applications.

Invited review: tangential breast irradiation--rationale and methods for improving dosimetry.

In recent years there have been great advances and innovations in all technical aspects of radiotherapy, including three dimensional (3D) computer planning, patient immobilization, radiation delivery and treatment verification. Despite this progress, the technique of tangential breast irradiation has changed little over this period and has not exploited these advances. There is increasing evidence that dose inhomogeneity within the breast is greater than at other anatomical sites, especially in women with large breasts. This paper is a review of the factors contributing to poor dosimetry in the breast, the clinical consequences of an inhomogeneous dose distribution, and how breast dosimetry could be improved by considering each of the stages from planning to accurate treatment delivery. It also highlights the particular problem of women with large breasts who may be more likely to have a poorer cosmetic outcome after a fractionated course of radiotherapy than women with small/medium-sized breasts, and supports the clinical impression that such women are also more likely to have greater dose inhomogeneity when 3D treatment plans are examined. Preliminary data from our current computed tomography (CT) planning study are presented to support these observations.

Dose-escalation in non-small cell lung cancer (NSCLC) using conformal 3-dimensional radiation treatment planning (3DRTP): Preliminary results of phase I study : M.B. Hazuka, A.T. Turrisi III, M.K. Martel, R.K. Ten Haken, J.F. Littles, A.S. Lichter, B.A. Fraass. University of Michigan Medical Center, Ann Arbor, Michigan, U.S.A.

Dose-escalation in non-small cell lung cancer (NSCLC) using conformal 3-dimensional radiation treatment planning (3DRTP): Preliminary results of phase I study : M.B. Hazuka, A.T. Turrisi III, M.K. Martel, R.K. Ten Haken, J.F. Littles, A.S. Lichter, B.A. Fraass. University of Michigan Medical Center, Ann Arbor, Michigan, U.S.A.

Dose-escalation in non-small cell lung cancer using 3-dimensional radiation treatment planning : Mark B. Hazuka, M.D., Andrew T. Turrisi III, M.D., Mary K. Martel, Ph.D. and Randall K. Ten Haken, Ph.D. Memorial Cancer Center, Colorado Springs, CO 80909 and University of Michigan Medical Center, Ann Arbor, MI, USA, 48109

Dose-escalation in non-small cell lung cancer using 3-dimensional radiation treatment planning : Mark B. Hazuka, M.D., Andrew T. Turrisi III, M.D., Mary K. Martel, Ph.D. and Randall K. Ten Haken, Ph.D. Memorial Cancer Center, Colorado Springs, CO 80909 and University of Michigan Medical Center, Ann Arbor, MI, USA, 48109

Results of primary and adjuvant CT-based 3-dimensional radiotherapy for malignant tumors of the paranasal sinuses

Purpose : This study reports our clinical experience supporting the normal tissue-sparing capability of 3-dimensional (3-D) treatment planning when applied to advanced neoplasms of the paranasal sinuses. Methods and Materials : Between 1986 and 1992, computed tomography (CT)-based 3-D radiotherapy was used to treat 39 patients with advanced stage malignant tumors of the paranasal sinuses as all or part of initial treatment. Fifteen unresectable patients were treated with primary radiotherapy to a median prescribed total dose of 68.4 Gy. Twenty-four patients were treated with postoperative adjuvant radiotherapy for close margins (< 5 mm), microscopic or gross residual disease. The median prescribed total doses were 55.8 Gy, 59.4 Gy and 67.8 Gy, respectively. Globe-sparing fields were used in the primary treatment plans of 37 patients (95%). The median follow-up is 4.5 years (range, 19–86 months). Results : For the unresectable patients who were treated with radiotherapy alone, the local control rate at 3 years is 32%. The actuarial overall survivals at 3 and 4 years are 32%. For the patients who received postoperative adjuvant radiotherapy, none of the five patients irradiated for close surgical margins recurred locally. Three of the 14 with microscopic residual (21%) recurred locally at 26, 63, and 74 months from the start of irradiation. Four of the five with gross residual (80%) recurred locally with a median time to recurrence of 2 years. The local control rates at 3 and 5 years for the adjuvant group are 75% and 65%, respectively. The actuarial overall survival at 3 and 5 years are 65% and 60%, respectively. None of the first sites of local disease progression were judged to have occurred outside the high-dose region. There was one case of mild osteoradionecrosis successfully treated with conservative treatment, one case of limited optic neuropathy and one case of possible radiation-induced cataract. There was no blindness related to irradiation. Conclusion : This study indicates that computed tomography-based 3-D radiotherapy can preserve critical structures unaffected by tumor invasion and achieve the generally expected local control rates when it is used as all or part of initial treatment for extensive malignant tumors of the paranasal sinus. The presence of gross disease was a major adverse prognostic factor in this study. Additional therapeutic maneuvers are essential to improve the local control and survival rate in patients with advanced paranasal sinus carcinomas.

弾性波3次元放射パターン解析による気相蒸着膜の強さと破壊のメカニズム

弾性波3次元放射パターン解析による気相蒸着膜の強さと破壊のメカニズム

Advances in 3-dimensional radiation treatment planning systems: Room-view display with real time interactivity

Purpose : We describe our 3-dimensional (3-D) radiation treatment planning system for external photon and electron beam 3-D treatment planning which provides high performance computational speed and a real-time display which we have named “room-view” in which the simulated target volumes, critical structures, skin surfaces, radiation beams and/or dose surfaces can be viewed on the display monitor from any arbitrary viewing position. Methods and Materials : We have implemented the 3-D planning system on a graphics superworkstation with parallel processing. Patient's anatomical features are extracted from contiguous computed tomography scan images and are displayed as wireloops or solid surfaces. Radiation beams are displayed as a set of diverging rays plus the polygons formed by the intersection of these rays with planes perpendicular to the beam axis. Controls are provided for each treatment machine motion function. Photon dose calculations are performed using an effective pathlength algorithm modified to accommodate 3-D off-center ratios. Electron dose calculations are performed using a 3-D pencil beam model. Results : Dose distribution information can be displayed as 3-D dose surfaces, dose-volume histograms, or as isodoses superimposed on 2-D gray scale images of the patient's anatomy. Tumor-control-probabilities, normal-tissue-complication probabilities and a figure-of-merit score function are generated to aid in plan evaluation. A split-screen display provides a beam's-eye-view for beam positioning and design of patient shielding block apertures and a concurrent “room-view” display of the patient and beam icon for viewing multiple beam set-ups, beam positioning, and plan evaluation. Both views are simultaneously interactive. Conclusion : The development of an interactive 3-D radiation treatment planning system with a real-time room-view display has been accomplished. The concurrent real-time beam's-eye-view and room-view display significantly improves the efficacy of the 3-D planning process.

Thermal visualization study of friction surface and its estimation

ABSTRACT A tribological surface under the reciprocating motion or the rotating motion generates heat, which is caused by friction force at the moving interface. It is very difficult to measure and visualize the transient temperature distribution on a friction surface. But in case when a friction surface is visible directly, its temperature distribution can be observed by means of the infrared radiometer. In measuring, at first, a radiation temperature Ts' must be calibrated by measuring a real temperature Ts of a tested material at the friction interface, which is made of steel, pom (polyoxymethylen) resin, brass and so on. In this study, experiments are performed under several friction conditions and a friction surface is visualized by the infrared radiometer which can measure a two dimensional radiation temperature distribution on the surface. Generated heat at a friction surface is transferred to both interfacial materials by thermal conduction and is transferred to the surroundings by convective heat transfer and thermal radiation. The transient temperature field at the friction surface is recorded by the data recorder and is analyzed by a personal computer. In estimating the friction surface, friction force (μF, reciprocating speed V and rotating speed ω, which are characteristic quantities in this study, are measured and the relation between friction force μF and radiation temperature rising ΔTs' at the friction interface is studyd experimentally. Moreover, the transient behavior of the temperature field at the friction interface is also discussed.

A large screen digitizer system for radiation therapy treatment planning

Purpose : This paper describes a new technique for manually drawing contours of anatomy over image data for the purposes of radiation therapy treatment planning. Methods and Materials : A large area rear-projectible digitizer tablet is used together with a projection TV system to display computer graphics and image data. Large images of computed tomography or magnetic resonance cross-sections are displayed and the digitizer is used to directly trace outlines of important organs. Digitizer menus allow multiple functions for selecting images and structures, for changing the grayscale level and window, and for zooming and roaming the image. Results : This device has been in clinical operation for many years and has proven to greatly increase the speed of entering cross-sectional outlines defined for serial computed tomography images sets. A small timing study of clinical usage demonstrates up to a factor of ten improvement in the speed of contour entry. Conclusion : For 3-dimensional radiation therapy, tumor, and target volumes, as well as important critical organs, must be delineated from serial sets of computed tomography or magnetic resonance images. Often 30 or more slices must be considered and the process of outlining structures on this number of slices can represent a significant fraction of the total treatment planning time. The device described in this paper greatly improve the ease and speed of manual contour entry for 3-dimensional radiation therapy planning.

Objective evaluation of 3-d radiation treatment plans: A decision-analytic tool incorporating treatment preferences of radiation oncologists

Purpose : Selecting the optimal radiation treatment plan from a set of competing plans involves making trade-offs among the doses delivered to the target volumes and normal tissues by the competing plans. Evaluation of 3-dimensional radiation treatment plans is difficult because it requires the review of vast amount of graphical and numerical data. We have developed an objective plan-ranking model based on the concepts of decision analysis. Methods and Materials : Our model ranks a set of tentative radiation treatment plans from best to worst. A figure of merit is computed for each plan based on probabilities of possible clinical complications such as non-eradication of the tumor and radiation induced damage to the nearby healthy normal tissues, and weights which indicate their clinical relevance. This figure of merit is used to rank the plans. Key issues addressed by the model include the incorporation of individual treatment preferences of the radiation oncologist and clinical features of the patient. Results : A methodology has been established for eliciting the treatment preferences of radiation oncologists. Results of this elicitation, and examples of several plan evaluations are presented. An interactive computer-based tool has been developed as one of a set of tools to assist in the evaluation of 3-dimensional radiation treatment plans. Conclusion : The paper presents a decision-analytic model incorporating radiation oncologists' treatment preferences and an interactive computer-based tool for objectively ranking competing radiation treatment plans. The tool can be used by radiation oncologists for the evaluation of competing plans, or as part of a system which tries to automatically generate optimal treatment plans using mathematical or symbolic techniques.

VISTAnet: interactive real-time calculation and display of 3-dimensional radiation dose: An application of gigabit networking

Three-dimensional treatment planning can allow the clinician to create plans that are highly individualized for each patient. However, in lifting the constraints traditionally imposed by 2-dimensional planning, the clinician is faced with the need to compare a much larger number of plans. Although methods to automate that process are being developed, it is not yet clear how well they will perform. VISTAnet is a 3 year collaborative effort between the Departments of Radiation Oncology and Computer Science at the University of North Carolina, the North Carolina Supercomputing Center, BellSouth, and GTE with the medical goal of providing real-time 3-dimensional radiation dose calculation and display. With VISTAnet technology and resources, the user can inspect 3-dimensional treatment plans in real-time along with the associated dose volume histograms and can fine tune these plans in real-time with regard to beam position, weighting, wedging, and shape. Thus VISTAnet provides an alternate and, possibly, complementary approach to computerized searches for optimal radiation treatment plans. Building this system has required the development of very fast radiation dose code, methods for simultaneously manipulating and modifying multiple radiation beams, and new visualizations of 3-dimensional dose distributions.

Retrospective reconstruction of three dimensional radiotherapy treatment plans from two dimensional planning data

Retrospective reconstruction of three dimensional radiotherapy treatment plans from two dimensional planning data

Optimization of 3d radiation therapy with both physical and biological end points and constraints

A new optimization model is described and its clinical usefulness is demonstrated. The optimization technique was developed to allow computer optimization of 3-dimensional radiation therapy plans with biological models of tumor and normal tissue response to radiation as well as with scores based on physical dose. The emphasis was placed on the optimization model, which should describe, as closely as possible, the goal of the radiation treatment, which is eradication of the tumor while sparing normal tissues. Since the statement of the goals may vary from case to case, a technique that allows a variety of objective functions and types of constraints was developed. The optimization algorithm is capable of handling nonlinear and even discrete score (objective) functions and constraints and effectively explores the vast space of feasible solutions in a relatively short time (minutes of MicroVax 3200 CPU time). An example of computer optimization of radiation therapy of a chordoma of the sphenoid bone using x-ray and proton beams is shown and compared with the best plans achieved by an experienced planner. Directions for future development of the algorithm, allowing optimization of beam orientation, are presented.

Random search algorithm (RONSC) for optimization of radiation therapy with both physical and biological end points and constraints

A new algorithm for the optimization of 3-dimensional radiotherapy plans is presented. The RONSC algorithm (Random Optimization with Non-linear Score functions and Constraints) is based on the idea of random search in the space of feasible solutions. RONSC takes advantage of some specific properties of the dose distribution and derivable information such as dose-volume histograms and calculated estimates of tumor control and normal tissue complication probabilities. The performance of the algorithm for clinical and test cases is discussed and compared with the performance of the simulated annealing algorithm, which is also based on the idea of random search.

Comparative treatment planning: Proton vs. x-ray beams against glioblastoma multiforme

The survival of patients with glioblastoma multiforme is extremely poor, the 5-year survival rate being almost zero. The cause of failure is almost exclusively local progression of tumor, the remainder is due to complications of treatment. Although this tumor is clearly radiation resistant, there is evidence of a dose response relationship. Using a thin slice CT scan of the entire head of a patient with glioblastoma mutiforme, 3-dimensional radiation treatment plans were developed for treatment to a dose of 90 cobalt-Gray-equivalent (CGE). Dose distributions using protons were compared to those using x-rays. The results showed advantages for the proton beam technique. Namely the proton plan irradiated less non-target brain than the x-ray plan; this was especially so in the decrease of coverage of deep-seated structures. The volume of non-target brain that received more than 70 CGE was 175 ml for the x-ray plan and 94 ml for the proton plan. This study indicates that for a subpopulation of patients with glioblastoma multiforme, at least 90 CGE could be delivered with proton beam techniques to the target with only small volumes of normal brain structures receiving more than 70 CGE.

The biological basis for conformal three-dimensional radiation therapy

The recent introduction of new computer technology for treatment planning and computer-driven treatment delivery systems, such as multi-leaf collimators and on-line verification systems, has accelerated the development of 3-dimensional (3-D) radiation therapy as a modality for curative cancer treatment. The goal of 3-D treatment planning is to conform the spatial distribution of the high radiation dose to the shape of the tumor contour while concomitantly decreasing the volume of the surrounding normal tissues receiving high radiation doses. The improved precision of tumor coverage and the exclusion of normal tissues should permit tumor dose escalation and may enhance local tumor control. It has been suggested that any survival gains derived from improvements in local control may be offset by the subsequent appearance of distant metastases arising from micrometastases already present at the time of initial diagnosis. However, clinical and laboratory studios indicate that failure to control the primary tumor at the time of initial treatment significantly increases the incidence of metastatic dissemination. This phenomenon is consistent with the hypothesis that the enhanced mitotic activity associated with the re-growth process of locally recurring primary tumors promotes the mallti-step transformation of non-metastatic tumor cells into clonogens with metastatic potential, leading to increased overall rates of metastatic disease. These biologic considerations provide support for the need to focus attention on the identification of more effective therapeutic strategies designed to eradicate the primary local tumor completely at the time of initial therapy and serve as the rationale for clinical studies using 3-D conformal radiation therapy.

The portable virtual simulator

The Virtual Simulator is a software tool for support and management of the geometric component of 3-dimensional radiotherapy treatment design. The Virtual Simulator is a software implementation of a physical simulator with additional functionality not currently available on physical simulators. Treatment of a virtual patient, derived from CT or other source, is simulated using the Virtual Simulator in the same way a physical simulator would be used. The intent of this approach is to provide the user with a familiar working environment for radiotherapy treatment design. Key features include an effective and efficient user interface, and the use of computing techniques and software standards which enhance portability to a variety of computer workstations. The Virtual Simulator is implemented in the C programming language using the X Window System, and has been written with the generic UNIX workstation in mind. It has been demonstrated that it can be installed and run without modification on workstations from a number of vendors.

Abutment of high energy electron fields

The problem of positioning multiple electron fields on the skin surface is complicated by the fact that the scattering properties of electrons result in constriction of the higher value isodoses and bulging out of the lower value isodoses. We have studied the dose distributions in the junction region for adjacent electron fields using our 3-dimensional radiation treatment planning system by investigating the effects of field separation for several field size, air gap, and beam energy combinations. Film dosimetry was used to measure specific test cases. Using our 3-dimensional radiation treatment planning system, we are able to display the calculated dose distribution, calculate dose-volume histograms, and compare calculations with the film dosimetry measurements. Results of our study are presented.

Full integration of the beam's eye view concept into computerized treatment planning

A complete set of beam's eye view (BEV) and beam portal design features have been integrated into a computerized 3-dimensional radiotherapy treatment planning system. Among the features implemented is the ability to mix BEV graphics with gray-scale images such as simulator and verification radiographs, and digital reconstructed radiographs. Image processing techniques have been developed to both enhance verification images and to detect radiation field boundaries. These portal simulation and presentation techniques are being used clinically to design and verify radiation fields with manual or automatically-designed field shaping blocks. The ability to perform computer dose calculations for planes which are parallel or perpendicular to a specified beam's central axis is available and this feature has also proven useful for treatment plan evaluation and optimization. Finally, direct comparison of computer-generated portal images with actual simulation and verification radiographs is also possible. These techniques allow the direct integration of “CT-directed treatment planning” with block design, simulator films and port films, and other Beam's Eye View-type displays.

Computation of digitally reconstructed radiographs for use in radiotherapy treatment design

The increasing use of 3-dimensional radiotherapy treatment design has created greater reliance on methods for computing images from CT data which correspond to the conventional simulation film. These images, known as computed or digitally reconstructed radiographs, serve as reference images for verification of computer-designed treatments. Used with software that registers graphic overlays of target and anatomic structures, digitally reconstructed radiographs are also valuable tools for designing portal shape. We have developed radiograph reconstruction software that takes full advantage of the contrast and spatial detail inherent in the original CT data. This goal has been achieved by using a ray casting algorithm which explicitly takes into account every intersected voxel, and a heuristic approach for approximating the images that would result from purely photoelectric or Compton interactions. The software also offers utilities to superimpose outlines of anatomic structures, field edges, beam crosshairs, and linear scales on digitally reconstructed radiographs. The pixel size of the computed image can be controlled, and several methods of interslice interpolation are offered. The software is written in modular format in the C language, and can stand alone or interface with other treatment planning software.