Contemporary IMRT: Developing Physics and Clinical ImplementationCRC Press, 14.06.2019 - 492 Seiten The most important radiotherapy modality used today, intensity modulated radiation therapy (IMRT), is the most technologically advanced radiotherapy cancer treatment available, rapidly replacing conformal and three-dimensional techniques. Because of these changes, oncologists and radiotherapists need up-to-date information gathered by physicists an |
Inhalt
Intensitymodulated radiation therapy IMRT General statements and points of debate | 1 |
12 Criticism of the philosophy of IMRT | 10 |
Developments in rotation IMRT and tomotherapy | 18 |
212 Matchline concerns and solutions | 21 |
213 Energy considerations | 23 |
214 Concerns about increased treatment time | 24 |
215 Machine features | 25 |
22 University of Wisconsin machine for tomotherapy | 26 |
568 Paediatric medulloblastoma IMRT | 210 |
57 Breast IMRT | 211 |
572 Other reports of techniques using small topup fields | 214 |
573 EPIDbased techniques for breast IMRT | 216 |
574 Modified wedge technique | 218 |
577 Reduced complications observed following breast IMRT | 220 |
578 Combination of IMRT with chargedparticle irradiation | 222 |
59 Lung cancer IMRT | 224 |
222 Generation and use of megavoltage computed tomography MVCT images | 28 |
223 Clinical application | 33 |
224 Commissioning issues | 34 |
225 Verification of MIMiC and University of Wisconsin tomotherapy | 35 |
24 Tomotherapy with an MLC | 37 |
25 Summary | 38 |
Developments in IMRT using a multileaf collimator MLC physics | 39 |
31 New sequencersinterpreters | 46 |
312 Sequencing multiplestatic MLC fieldsclusters | 47 |
313 Nonuniform spatial and fluence steps | 50 |
314 Minimizing the number of segments | 51 |
315 IMFAST | 53 |
317 Sequencers exploiting MLC rotation | 56 |
318 Comparison of dynamic MLC dMLC and multiple static field MSF techniques | 58 |
319 Varian MLC and HELIOS planning system | 61 |
3110 Developments in Elekta IMRT | 62 |
3111 Other interpreters | 63 |
3112 The effect of removing the flattening filter | 66 |
322 Factoring in delivery physics | 68 |
3222 Using leakage and scatter knowledge in the MSFMLC technique | 70 |
323 The effect of rounded leaf ends lightfield to radiationfield discrepancy in IMRT | 73 |
33 Dose calculation for IMRT | 74 |
331 Application of colour theory | 75 |
332 Penumbra sharpening for IMRT | 76 |
34 Features of MLC delivery of IMRT | 77 |
343 Leafspeed limitations | 80 |
344 Stability of accelerator and delivery of a small number of MUs and small fieldsizes | 81 |
35 Dynamic arc therapy | 84 |
36 Combining stepandshoot and dynamic delivery for dMLC | 86 |
37 IMATtechnical issues | 89 |
371 IMAT in clinical use | 92 |
372 IMAT modified to aperturemodulatedarc therapy AMAT | 94 |
38 New ideas related to the dMLC technique | 95 |
39 Compensators and comparisons of compensator and MLCbased IMRT | 96 |
392 Use of compensators for IMRT | 97 |
393 Comparison of compensator and MLCbased IMRT | 105 |
310 Optimum width of leaves for an MLC | 106 |
311 MicroMLCs for IMRT | 107 |
3112 Varian virtual MLC | 108 |
3114 Radionics microMLC | 109 |
3115 BrainLAB microMLC | 110 |
3116 DKFZoriginating microMLCs | 111 |
31162 New DKFZ microMLC | 112 |
3119 Multilevel MLC | 115 |
312 Increasing the spatial resolution of a conventional MLC | 116 |
313 Verification of MLCdelivered IMRT | 120 |
3132 Other EPID designs | 124 |
3134 Extraction of anatomical images from portal images generated during IMRT | 125 |
3135 Blockingtraylevel measurement | 126 |
3136 The twolevel MLC | 127 |
3137 Waterbeamimaging system WBIS | 129 |
3138 Integrated portal fluence and portal dosimetry | 131 |
3139 IMRT verification phantom measurements | 132 |
31310 Verification by software techniques | 138 |
31311 Comparison of delivered modulated fluence profile with planpredicted modulated profile | 141 |
31312 Verification of canine and human IMRT using invivo dosimetry | 143 |
31313 Polyacrylamide gel PAG dosimetry for IMRT verification | 144 |
313132 PAG readout techniques | 145 |
313133 Use of PAGs for IMRT verification | 147 |
313134 New PAGs | 150 |
314 Quality assurance QA of MLC delivery | 152 |
3142 Routine QA of MLC leaf movement | 153 |
3143 Modelling the effects of MLC error | 158 |
315 Summary | 159 |
Developments in IMRT not using an MLC | 161 |
42 The design of the shuttling MLC SMLC | 168 |
43 IMRT with the jawsplusmask technique | 169 |
44 The variable aperture collimator VAC | 174 |
45 Onedimensional IMRT | 176 |
46 Summary | 177 |
Clinical IMRTevidencebased medicine? | 179 |
51 IMRT of the prostate showing measurable clinical benefit | 183 |
52 Comparison of treatment techniques for the prostate | 187 |
53 Royal Marsden NHS Foundation Trust pelvic and other IMRT | 192 |
54 Comparison of IMRT with conformal radiotherapy CFRT for complex shaped tumours | 197 |
55 IMRT for wholepelvic and gynaecological radiotherapy | 199 |
56 Headandneck IMRT | 201 |
561 Thyroid IMRT | 202 |
562 Nasopharynx IMRT | 203 |
563 Oropharynx IMRT | 204 |
564 Oropharynx and nasopharynx IMRT | 205 |
566 Evidence for parotid sparing | 206 |
567 Meningioma IMRT | 209 |
510 Scalp IMRT | 225 |
511 Other clinical IMRT reportsvarious tumour sites | 227 |
512 Summary | 228 |
3D planning for CFRT and IMRT Developments in imaging for planning and for assisting therapy | 230 |
62 Determination of the GTV CTV and PTV the influence of 3D medical imaging | 231 |
623 Margin definition | 232 |
624 Use of magnetic resonance for treatment planning | 234 |
6242 Use of contrast agents | 236 |
6243 Planning based on MR images alone | 237 |
6245 Increased protection of structures | 240 |
6246 Monitoring the response to radiotherapy via MRI | 241 |
625 Use of functional information from SPECT and PET for treatment planning | 242 |
6252 Headandneck imaging | 244 |
6253 Lung imaging | 246 |
6254 Paraaortic lymph node PALN imaging | 247 |
6255 Combined PETCT scanning | 248 |
626 Use of pathology specimens to compare with GTV and PTV | 250 |
631 Gradientdescent inverse planning | 251 |
634 Maximum entropy inverse planning | 252 |
635 Genetic algorithms | 253 |
636 Singlestep inverse planning | 254 |
637 Simulated particle dynamics | 255 |
638 Optimization of surrogate parameters in beam space | 257 |
639 Comparison of inverseplanning techniques | 259 |
6310 Features and comparison of commercial planning algorithms | 261 |
6311 Dependences of IMRT plans on target geometry | 262 |
6312 Multiple local minima and the global minimum in optimization | 263 |
6313 Sampling the dose matrix for IMRT optimization speedup | 266 |
6314 Creating a uniform PTV dose in IMRT cost tuning | 269 |
63151 Voxeldependent IFs | 271 |
6316 Biological and physical optimization | 273 |
6317 Pareto optimal IMRT | 275 |
6319 Split modulation | 276 |
6320 Summary on inverseplanning techniques | 278 |
641 Segmental inverse planning at Thomas Jefferson University TJU | 279 |
642 Aperturebased planning at the University of Ghent | 280 |
643 Direct aperture optimization DAO at the University of Maryland | 284 |
644 DAO wobbling the MLC leaf positions | 286 |
646 Summary on aperturebased IMRT | 287 |
65 Smoothing IMBs | 288 |
653 Smoothing technique from the Memorial Sloan Kettering Cancer Institute | 290 |
655 Smoothing technique in the Nucletron PLATO TPS | 292 |
658 Smoothing techniques at University of California San Francisco | 293 |
6510 Summary on smoothing | 294 |
66 Incorporating MLC equipment constraints in inverse planning | 295 |
67 Beam direction optimization | 296 |
68 Monte Carlo dose calculation | 305 |
682 Determination of photon spectrum and phase space data for Monte Carlo calculations | 307 |
684 MCDOSE | 310 |
685 Speeding up Monte Carlo dose calculations | 312 |
686 Monte Carlo calculation accuracy and error | 313 |
688 Monte Carlo calculations in tomotherapy | 315 |
6810 Other reports on Monte Carlo dosimetry | 316 |
69 Energy in IMRT | 317 |
610 Measuring and accounting for patienttumour movement | 319 |
6102 Some observations of the effects of movement | 320 |
6103 Optical imaging for movement correction | 321 |
6031 Breast movement | 323 |
61042 Intrafraction and interfraction lung movement measurements | 327 |
6105 Ultrasound measurement of position | 329 |
61051 The NOMOS BAT | 331 |
61052 Other ultrasound systems developed | 335 |
6106 Magnetic monitoring of position | 337 |
61072 Gating based on xray fluoroscopic measurements | 339 |
61073 Imaging and therapy gated by respiration monitor | 341 |
61074 Measurements using oscillating phantoms | 343 |
61075 Evidence against the need for gating | 345 |
6108 Robotic feedback | 346 |
6109 Heldbreath selfgating | 347 |
61010 Intervention for immobilization | 348 |
61012 Calculating the effect of tissue movement | 351 |
610122 Use of multiple CT datasets and adaptive IMRT | 352 |
610123 Modelling the effect of intrafraction movement | 359 |
610124 Modelling setup inaccuracy | 367 |
610125 Modelling the movement of OARs | 368 |
6112 Flatpanel imaging for kVCT | 372 |
612 MRI and IMRT simultaneously | 374 |
613 IMRT using mixed photons and electrons | 376 |
Epilogue | 379 |
382 | |
464 | |
Andere Ausgaben - Alle anzeigen
Contemporary IMRT: Developing Physics and Clinical Implementation S. Webb Eingeschränkte Leseprobe - 2019 |
Contemporary IMRT: Developing Physics and Clinical Implementation S. Webb Eingeschränkte Leseprobe - 2019 |
Contemporary Imrt: Developing Physics and Clinical Implementation S. WEBB Keine Leseprobe verfügbar - 2020 |
Häufige Begriffe und Wortgruppen
42nd Annual ASTRO 56 Suppl 64 Suppl AAPM Annual Congress accelerator algorithm Annual ASTRO Meeting August 2000 paper beam Biol bixels Bortfeld breast breathing CFRT compared compensator computed tomography Computers in Radiation Congress of Medical constraints CORVUS created CT scans Cyberknife delivered developed dMLC technique dose calculation dose distributions dosimetry dynamic effect Elekta error figure film fluence fraction gantry head-and-neck IMAT improved IMRT delivery IMRT plans IMRT technique IMRT treatment intensity modulated radiation intensity modulated radiotherapy inverse planning irradiation isocentre linac lung Mackie markers measurements Medical Physics method microMLC modulated radiation therapy Monte Carlo movement multileaf collimator number of segments OARS optimization patient phantom photon Phys planning system portal imaging position Proc profiles prostate cancer radiosurgery Radiother Oncol reduced showed shown simulated simulated annealing step-and-shoot target volume tissue tomotherapy treatment planning treatment-planning system tumour ultrasound Varian verification voxel Webb World Congress Xing