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Clinically Oriented Target Contour Evaluation Using Geometric and Dosimetric Indices Based on Simple Geometric

Lixun Xian1,2,3, Guangjun Li1,3, Qing Xiao1

  • 1Department of Radiation Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Technology in Cancer Research & Treatment
|September 7, 2021
PubMed
Summary
This summary is machine-generated.

Geometric indices alone are insufficient for evaluating radiotherapy contouring accuracy. Combining geometric and dosimetric indices provides a more comprehensive assessment of delineation accuracy and clinical dose response.

Keywords:
contour evaluationdosimetric indicesgeometric indicesgeometric transformationtarget volume

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Area of Science:

  • Radiotherapy physics and dosimetry
  • Medical imaging and image analysis
  • Radiation oncology

Background:

  • Geometric indices are standard for assessing radiotherapy contouring accuracy.
  • Current geometric indices have limitations in reflecting clinical significance due to lack of clinical context.
  • There is a need to explore the relationship between geometric and dosimetric indices for improved accuracy assessment.

Purpose of the Study:

  • To investigate the correlation between geometric and clinical dosimetric indices in radiotherapy.
  • To determine if geometric indices alone are sufficient for evaluating contour accuracy.
  • To assess the added value of dosimetric indices in contour accuracy evaluation.

Main Methods:

  • Four target types (C-shaped, oropharyngeal, spine, prostate) were used.
  • Systematic and random errors were introduced via geometric transformations (translation, scaling, rotation, sine function) using Python.
  • Correlations between geometric and dosimetric indices were quantified using linear regression and Wilcoxon signed-rank tests.

Main Results:

  • Correlations between geometric and dosimetric indices were inconsistent across different error types and targets.
  • For systematic errors in C-shaped targets, geometric transformations correlated well with D98% and Dmean (R²: 0.689-0.988).
  • For random errors, all targets showed significant correlations (R² > 0.384, P < 0.05); only volumetric indices showed spatial direction resolution (P < 0.05).

Conclusions:

  • Geometric indices alone are insufficient for clinically assessing region-of-interest contour accuracy.
  • Incorporating dosimetric indices enhances the evaluation of delineation accuracy.
  • Combined assessment provides a more comprehensive understanding of the clinical dose-response relationship in radiotherapy delineation.