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Related Concept Videos

Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

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A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
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Therapy operating characteristic curves: tools for precision chemotherapy.

Harrison H Barrett1, David S Alberts2, James M Woolfenden3

  • 1University of Arizona, College of Optical Sciences, 1630 East University Boulevard, Tucson, Arizona 85721, United States; University of Arizona, Center for Gamma-Ray Imaging, Department of Medical Imaging, Radiology Research Laboratory, Arizona Health Sciences Center, 1609 North Warren Avenue, Tucson, Arizona 85724, United States; University of Arizona Cancer Center, 1515 North Campbell Avenue, Tucson, Arizona 85724, United States.

Journal of Medical Imaging (Bellingham, Wash.)
|May 14, 2016
PubMed
Summary

This study extends the therapy operating characteristic (TOC) curve from radiation to chemotherapy. The area under the TOC curve (AUTOC) offers a new metric for assessing chemotherapy efficacy and guiding clinical trials.

Keywords:
chemotherapynormal tissue complicationspositron emission tomographyradiation therapysingle-photon emission computed tomographytherapy operating characteristictumor control

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Area of Science:

  • Oncology
  • Medical Physics
  • Pharmacology

Background:

  • Therapy Operating Characteristic (TOC) curves are established for radiation therapy, plotting tumor control vs. normal-tissue complications.
  • The area under the TOC curve (AUTOC) serves as a metric for therapeutic efficacy in radiation oncology.

Purpose of the Study:

  • To adapt and apply TOC curves to chemotherapy, using drug dosage as the variable.
  • To establish AUTOC as a figure of merit for chemotherapy efficacy, analogous to AUROC in diagnostics.

Main Methods:

  • Exploiting mathematical analogies between observer response to images and tumor response to chemotherapy drug distribution.
  • Developing linear discriminant functions for AUTOC calculation.
  • Outlining methods for estimating patient-specific parameters using drug delivery models, tumor response models, and imaging data.

Main Results:

  • Demonstrated the applicability of TOC curves to chemotherapy.
  • Proposed AUTOC as a quantitative measure for chemotherapy efficacy.
  • Provided a framework for calculating patient-specific AUTOC values.

Conclusions:

  • TOC curves and AUTOC provide a novel framework for evaluating chemotherapy efficacy.
  • This approach can inform the design and analysis of clinical trials for chemotherapy.
  • Patient-specific parameter estimation is crucial for accurate AUTOC calculation in chemotherapy.