@article{9fbaa9093fa04ca895cfa721080e5a25,
title = "The Use of Quantitative Imaging in Radiation Oncology: A Quantitative Imaging Network (QIN) Perspective",
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.",
author = "Press, {Robert H.} and Shu, {Hui Kuo G.} and Hyunsuk Shim and Mountz, {James M.} and Kurland, {Brenda F.} and Wahl, {Richard L.} and Jones, {Ella F.} and Hylton, {Nola M.} and Gerstner, {Elizabeth R.} and Nordstrom, {Robert J.} and Lori Henderson and Kurdziel, {Karen A.} and Bhadrasain Vikram and Jacobs, {Michael A.} and Matthias Holdhoff and Edward Taylor and Jaffray, {David A.} and Schwartz, {Lawrence H.} and Mankoff, {David A.} and Kinahan, {Paul E.} and Linden, {Hannah M.} and Philippe Lambin and Dilling, {Thomas J.} and Rubin, {Daniel L.} and Lubomir Hadjiiski and Buatti, {John M.}",
note = "Funding Information: The National Cancer Institute (NCI) has recognized the importance of QI by funding the Quantitative Imaging Network (QIN) since 2008 under the Cancer Imaging Program (6). The QIN supports use of QI for clinical decision-making in oncology through the development and validation of tools for standardizing image acquisition, processing, and analysis. These tools use analytical algorithms for data quantification to enable personalized treatment for individual patients and the prediction and monitoring of response to drugs or RT (7). Funding Information: Conflict of interest: H-K.G.S. reports grant nos. R01CA214557 and U01CA172027. H.S. reports grant nos. R01CA214557 and U01CA172027. N.H. reports grant nos. P01CA210961-01A1 and R01CA132870. E.G. reports grant nos. R01CA211238-01, K23CA169021-04, and U01CA15460. M.J. reports grant nos. U01CA140204 and 1R01CA190299. J.M. reports grant no. U01CA140230. B.K. reports grant nos. U01CA148131, U01CA140230, and P30CA047904. D.J. reports Canadian Institutes of Health Research (CIHR) funding reference number 137992 . M.H. reports grant no. U01CA172027 and serving as a compensated member of the Abbvie scientific advisory board and Celgene scientific advisory board. L.S. reports grant nos. U01CA211205-01 and R01CA194783-03. D.M. reports grant nos. P30CA016520-41, R01CA211337-01, R33CA225310-01, and P30CA016520. P.K. reports grant no. U01CA148131. H.L. reports grant no. U01CA148131. D.R. reports grant nos. U01CA190214 and U01CA187947. L.H. reports grant no. U01CA179106. J.B. reports grant no. U01CA140206. Publisher Copyright: {\textcopyright} 2018 Elsevier Inc.",
year = "2018",
month = nov,
day = "15",
doi = "10.1016/j.ijrobp.2018.06.023",
language = "English (US)",
volume = "102",
pages = "1219--1235",
journal = "International Journal of Radiation Oncology Biology Physics",
issn = "0360-3016",
publisher = "Elsevier Inc.",
number = "4",
}