The Use of Quantitative Imaging in Radiation Oncology: A Quantitative Imaging Network (QIN) Perspective

Robert H. Press, Hui Kuo G. Shu, Hyunsuk Shim, James M. Mountz, Brenda F. Kurland, Richard L. Wahl, Ella F. Jones, Nola M. Hylton, Elizabeth R. Gerstner, Robert J. Nordstrom, Lori Henderson, Karen A. Kurdziel, Bhadrasain Vikram, Michael Jacobs, Matthias Holdhoff, Edward Taylor, David A. Jaffray, Lawrence H. Schwartz, David A. Mankoff, Paul E. KinahanHannah M. Linden, Philippe Lambin, Thomas J. Dilling, Daniel L. Rubin, Lubomir Hadjiiski, John M. Buatti

Research output: Contribution to journalReview article

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.

Original languageEnglish (US)
Pages (from-to)1219-1235
Number of pages17
JournalInternational Journal of Radiation Oncology Biology Physics
Volume102
Issue number4
DOIs
StatePublished - Nov 15 2018

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Radiation Oncology
radiation
radiation therapy
Radiotherapy
National Cancer Institute (U.S.)
delineation
Environmental Monitoring
decision making
Therapeutics
biology
toxicity
tumors
cancer
Clinical Trials
Radiation
Morbidity
dosage
high resolution
Neoplasms

ASJC Scopus subject areas

  • Radiation
  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Cancer Research

Cite this

The Use of Quantitative Imaging in Radiation Oncology : A Quantitative Imaging Network (QIN) Perspective. / Press, Robert H.; Shu, Hui Kuo G.; Shim, Hyunsuk; Mountz, James M.; Kurland, Brenda F.; Wahl, Richard L.; Jones, Ella F.; Hylton, Nola M.; Gerstner, Elizabeth R.; Nordstrom, Robert J.; Henderson, Lori; Kurdziel, Karen A.; Vikram, Bhadrasain; Jacobs, Michael; Holdhoff, Matthias; Taylor, Edward; Jaffray, David A.; Schwartz, Lawrence H.; Mankoff, David A.; Kinahan, Paul E.; Linden, Hannah M.; Lambin, Philippe; Dilling, Thomas J.; Rubin, Daniel L.; Hadjiiski, Lubomir; Buatti, John M.

In: International Journal of Radiation Oncology Biology Physics, Vol. 102, No. 4, 15.11.2018, p. 1219-1235.

Research output: Contribution to journalReview article

Press, RH, Shu, HKG, Shim, H, Mountz, JM, Kurland, BF, Wahl, RL, Jones, EF, Hylton, NM, Gerstner, ER, Nordstrom, RJ, Henderson, L, Kurdziel, KA, Vikram, B, Jacobs, M, Holdhoff, M, Taylor, E, Jaffray, DA, Schwartz, LH, Mankoff, DA, Kinahan, PE, Linden, HM, Lambin, P, Dilling, TJ, Rubin, DL, Hadjiiski, L & Buatti, JM 2018, 'The Use of Quantitative Imaging in Radiation Oncology: A Quantitative Imaging Network (QIN) Perspective', International Journal of Radiation Oncology Biology Physics, vol. 102, no. 4, pp. 1219-1235. https://doi.org/10.1016/j.ijrobp.2018.06.023
Press, Robert H. ; Shu, Hui Kuo G. ; Shim, Hyunsuk ; Mountz, James M. ; Kurland, Brenda F. ; Wahl, Richard L. ; Jones, Ella F. ; Hylton, Nola M. ; Gerstner, Elizabeth R. ; Nordstrom, Robert J. ; Henderson, Lori ; Kurdziel, Karen A. ; Vikram, Bhadrasain ; Jacobs, Michael ; Holdhoff, Matthias ; Taylor, Edward ; Jaffray, David A. ; Schwartz, Lawrence H. ; Mankoff, David A. ; Kinahan, Paul E. ; Linden, Hannah M. ; Lambin, Philippe ; Dilling, Thomas J. ; Rubin, Daniel L. ; Hadjiiski, Lubomir ; Buatti, John M. / The Use of Quantitative Imaging in Radiation Oncology : A Quantitative Imaging Network (QIN) Perspective. In: International Journal of Radiation Oncology Biology Physics. 2018 ; Vol. 102, No. 4. pp. 1219-1235.
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AU - Mountz, James M.

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AU - Wahl, Richard L.

AU - Jones, Ella F.

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AU - Taylor, Edward

AU - Jaffray, David A.

AU - Schwartz, Lawrence H.

AU - Mankoff, David A.

AU - Kinahan, Paul E.

AU - Linden, Hannah M.

AU - Lambin, Philippe

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AU - Hadjiiski, Lubomir

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N2 - 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.

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