Online Adaptive Radiation Therapy

• Published in: International journal of radiation oncology, biology, physics Vol. 99; no. 4; pp. 994 - 1003
• Main Authors: Lim-Reinders, Stephanie, Keller, Brian M., Al-Ward, Shahad, Sahgal, Arjun, Kim, Anthony
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.11.2017
• Subjects: Breast Neoplasms - diagnostic imaging; Breast Neoplasms - radiotherapy; COMPUTERIZED TOMOGRAPHY; Cone-Beam Computed Tomography - methods; Female; Head and Neck Neoplasms - diagnostic imaging; Head and Neck Neoplasms - radiotherapy; Hematology, Oncology and Palliative Medicine; Humans; IMAGE PROCESSING; Male; Neoplasms - diagnostic imaging; Neoplasms - radiotherapy; Organs at Risk - diagnostic imaging; Pancreatic Neoplasms - diagnostic imaging; Pancreatic Neoplasms - radiotherapy; PATIENTS; Prostatic Neoplasms - diagnostic imaging; Prostatic Neoplasms - radiotherapy; Quality Assurance, Health Care; RADIATION DOSES; Radiology; RADIOLOGY AND NUCLEAR MEDICINE; RADIOTHERAPY; Radiotherapy Dosage; Radiotherapy Planning, Computer-Assisted - methods; Radiotherapy Planning, Computer-Assisted - standards; Radiotherapy, Image-Guided - methods; Radiotherapy, Image-Guided - standards; Radiotherapy, Intensity-Modulated - methods; Radiotherapy, Intensity-Modulated - standards; SIMULATION; Urinary Bladder Neoplasms - diagnostic imaging; Urinary Bladder Neoplasms - radiotherapy; Uterine Cervical Neoplasms - diagnostic imaging; Uterine Cervical Neoplasms - radiotherapy; Workflow; online adaptation; deformable image registration; Adaptive radiation therapy

The current paradigm of radiation therapy has the treatment planned on a snapshot dataset of the patient's anatomy taken at the time of simulation. Throughout the course of treatment, this snapshot may vary from initial simulation. Although there is the ability to image patients within the trea...