Journal article
The Use of Quantitative Imaging in Radiation Oncology: A Quantitative Imaging Network (QIN) Perspective
International journal of radiation oncology, biology, physics, Vol.102(4), pp.1219-1235
11/15/2018
DOI: 10.1016/j.ijrobp.2018.06.023
PMCID: PMC6348006
PMID: 29966725
Abstract
Modern radiation therapy is delivered with great precision, in part by relying on high-resolution multidimensional anatomic imaging to define targets in space and time. The development of quantitative imaging (QI) modalities capable of monitoring biologic parameters could provide deeper insight into tumor biology and facilitate more personalized clinical decision-making. The Quantitative Imaging Network (QIN) was established by the National Cancer Institute to advance and validate these QI modalities in the context of oncology clinical trials. In particular, the QIN has significant interest in the application of QI to widen the therapeutic window of radiation therapy. QI modalities have great promise in radiation oncology and will help address significant clinical needs, including finer prognostication, more specific target delineation, reduction of normal tissue toxicity, identification of radioresistant disease, and clearer interpretation of treatment response. Patient-specific QI is being incorporated into radiation treatment design in ways such as dose escalation and adaptive replanning, with the intent of improving outcomes while lessening treatment morbidities. This review discusses the current vision of the QIN, current areas of investigation, and how the QIN hopes to enhance the integration of QI into the practice of radiation oncology.
Details
- Title: Subtitle
- The Use of Quantitative Imaging in Radiation Oncology: A Quantitative Imaging Network (QIN) Perspective
- Creators
- Robert H Press - Emory UniversityHui-Kuo G Shu - Emory UniversityHyunsuk Shim - Emory UniversityJames M Mountz - University of PittsburghBrenda F Kurland - University of PittsburghRichard L Wahl - Washington University in St. LouisElla F Jones - University of California, San FranciscoNola M Hylton - University of California, San FranciscoElizabeth R Gerstner - Massachusetts General HospitalRobert J Nordstrom - National Cancer InstituteLori Henderson - National Cancer InstituteKaren A Kurdziel - National Cancer InstituteBhadrasain Vikram - National Cancer InstituteMichael A Jacobs - Sidney Kimmel Comprehensive Cancer CenterMatthias Holdhoff - Sidney Kimmel Comprehensive Cancer CenterEdward Taylor - Princess Margaret Cancer CentreDavid A Jaffray - Princess Margaret Cancer CentreLawrence H Schwartz - Columbia University Medical CenterDavid A Mankoff - University of PennsylvaniaPaul E Kinahan - University of WashingtonHannah M Linden - University of WashingtonPhilippe Lambin - Maastricht University Medical CentreThomas J Dilling - Moffitt Cancer CenterDaniel L Rubin - Stanford UniversityLubomir Hadjiiski - University of Michigan–Ann ArborJohn M Buatti - University of Iowa
- Resource Type
- Journal article
- Publication Details
- International journal of radiation oncology, biology, physics, Vol.102(4), pp.1219-1235
- DOI
- 10.1016/j.ijrobp.2018.06.023
- PMID
- 29966725
- PMCID
- PMC6348006
- NLM abbreviation
- Int J Radiat Oncol Biol Phys
- ISSN
- 0360-3016
- eISSN
- 1879-355X
- Publisher
- Elsevier Inc
- Grant note
- U01 CA190214 / NCI NIH HHS R01 CA132870 / NCI NIH HHS U01 CA140230 / NCI NIH HHS P30 CA016520 / NCI NIH HHS R33 CA225310 / NCI NIH HHS P01 CA210961 / NCI NIH HHS R01 CA214557 / NCI NIH HHS U01 CA140204 / NCI NIH HHS R01 CA194783 / NCI NIH HHS U01 CA172027 / NCI NIH HHS R01 CA190299 / NCI NIH HHS U01 CA140206 / NCI NIH HHS P30 CA086862 / NCI NIH HHS U01 CA148131 / NCI NIH HHS U01 CA179106 / NCI NIH HHS R01 CA211238 / NCI NIH HHS R01 CA211337 / NCI NIH HHS U01 CA187947 / NCI NIH HHS U01 CA211205 / NCI NIH HHS P30 CA047904 / NCI NIH HHS K23 CA169021 / NCI NIH HHS
- Language
- English
- Date published
- 11/15/2018
- Academic Unit
- Radiation Oncology; Neurosurgery; Otolaryngology
- Record Identifier
- 9984303899202771
Metrics
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