A systematic review and meta-analysis of the utility of quantitative, imaging-based approaches to predict radiation-induced toxicity in lung cancer patients.

Abstract

Authors

• Daniel Tong
  Center for Spatial Information Science and Systems, George Mason University, Fairfax, Virginia 22030, United States.
• Julie Midroni
  Princess Margaret Cancer Centre, University Health Network, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
• Kate Avison
  Princess Margaret Hospital Cancer Centre, Radiation Medicine Program, Toronto, ON M5G 2C4, Canada.
• Saif Alnassar
  Princess Margaret Hospital Cancer Centre, Radiation Medicine Program, Toronto, ON M5G 2C4, Canada.
• David Chen
  Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
• Rod Parsa
  Princess Margaret Hospital Cancer Centre, Radiation Medicine Program, Toronto, Ontario, Canada.
• Orly Yariv
  Department of Radiation Oncology, Sheba Medical Center, Ramat Gan, Israel; Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.
• Zhihui Liu
  Cancer Care Ontario, Toronto, ON;
• Xiang Y Ye
  Department of Radiation Oncology, University of Toronto (UTDRO), Toronto, Canada; Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, Canada.
• Andrew Hope
  Radiation Oncology, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada.
• Philip Wong
  1 Vattikuti Urology Institute , Henry Ford Hospital, Detroit, Michigan.
• Srinivas Raman
  Department of Radiation Oncology, BC Cancer Vancouver, 600 W 10th Ave, Vancouver, BC, V5Z 4E6, Canada, 1 416-946-4501.

Keywords

External Resources