Published July 6, 2018 | Version v1
Journal article

Investigating rectal toxicity associated dosimetric features with deformable accumulated rectal surface dose maps for cervical cancer radiotherapy

  • 1. School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515 Guangdong (China)
  • 2. Department of Computer Science, Wayne State University, Detroit, MI 48202 (United States)
  • 3. Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 805 Sherbrooke Street West, Montreal, Quebec H3A 0G4 (Canada)
  • 4. Department of Radiation Oncology, The University of Texas, Southwestern Medical Center, Dallas, TX 75390 (United States)

Description

Better knowledge of the dose-toxicity relationship is essential for safe dose escalation to improve local control in cervical cancer radiotherapy. The conventional dose-toxicity model is based on the dose volume histogram, which is the parameter lacking spatial dose information. To overcome this limit, we explore a comprehensive rectal dose-toxicity model based on both dose volume histogram and dose map features for accurate radiation toxicity prediction. Forty-two cervical cancer patients treated with combined external beam radiotherapy (EBRT) and brachytherapy (BT) were retrospectively studied, including 12 with Grade ≥ 2 rectum toxicity and 30 patients with Grade 0–1 toxicity (non-toxicity patients). The cumulative equivalent 2-Gy rectal surface dose was deformably summed using the deformation vector fields obtained through a recent developed local topology preserved non-rigid point matching algorithm. The cumulative three-dimensional (3D) dose was flattened and mapped to a two-dimensional (2D) plane to obtain the rectum surface dose map (RSDM). The dose volume parameters (DVPs) were calculated from the 3D rectum surface, while the texture features and the dose geometric parameters (DGPs) were extracted from the 2D RSDM. Representative features further computed from DVPs, textures and DGPs by principle component analysis (PCA) and statistical analysis were respectively fed into a support vector machine equipped with a sequential feature selection procedure. The predictive powers of the representative features were compared with the GEC-ESTRO dosimetric parameters D0.1/1/2cm3. Satisfactory predictive accuracy of sensitivity 74.75 and 84.75%, specificity 72.67 and 79.87%, and area under the receiver operating characteristic curve (AUC) 0.82 and 0.91 were respectively achieved by the PCA features and statistical significant features, which were superior to the D0.1/1/2cm3 (AUC 0.71). The relative area in dose levels of 64Gy, 67Gy, 68Gy, 87Gy, 88Gy and 89Gy, perimeters in dose levels of 89Gy, as well as two texture features were ranked as the important factors that were closely correlated with rectal toxicity. Our extensive experimental results have demonstrated the feasibility of the proposed scheme. A future large patient cohort study is still needed for model validation. The online version of this article (10.1186/s13014-018-1068-0) contains supplementary material, which is available to authorized users.

Availability note (English)

Available from http://dx.doi.org/10.1186/s13014-018-1068-0; Available from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6035458

Additional details

Identifiers

Publishing Information

Journal Title
Radiation Oncology (Online)
Journal Volume
13
Journal Page Range
vp.
ISSN
1748-717X

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49082622
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
BRACHYTHERAPY; EXTERNAL BEAM RADIATION THERAPY; NEOPLASMS; PATIENTS; RADIATION DOSES; RADIOSENSITIVITY; RECTUM; TOXICITY
Descriptors DEC
BODY; DIGESTIVE SYSTEM; DISEASES; DOSES; GASTROINTESTINAL TRACT; INTESTINES; LARGE INTESTINE; MEDICINE; NUCLEAR MEDICINE; ORGANS; RADIOLOGY; RADIOTHERAPY; SENSITIVITY; THERAPY

Optional Information

Copyright
Copyright (c) The Author(s). 2018
Notes
PMCID: PMC6035458; PMID: 29980214; PUBLISHER-ID: 1068; OAI: oai:pubmedcentral.nih.gov:6035458