Published September 1, 2016 | Version v1
Journal article

Toward Prostate Cancer Contouring Guidelines on Magnetic Resonance Imaging: Dominant Lesion Gross and Clinical Target Volume Coverage Via Accurate Histology Fusion

  • 1. Department of Radiology, Radboud University Medical Centre, Nijmegen (Netherlands)
  • 2. Centre for Medical Image Computing, University College London, London (United Kingdom)
  • 3. Biomedical Engineering, University of Western Ontario, London, Ontario (Canada)
  • 4. Robarts Research Institute, University of Western Ontario, London, Ontario (Canada)
  • 5. Department of Oncology, University of Western Ontario, London, Ontario (Canada)
  • 6. Lawson Health Research Institute, London, Ontario (Canada)
  • 7. Department of Medical Imaging, University of Western Ontario, London, Ontario (Canada)
  • 8. Queensland Health, Brisbane, Queensland (Australia)
  • 9. Department of Pathology, University of Western Ontario, London, Ontario (Canada)
  • 10. Department of Urology, University of Western Ontario, London, Ontario (Canada)
  • 11. Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Ontario (Canada)

Description

Purpose: Defining prostate cancer (PCa) lesion clinical target volumes (CTVs) for multiparametric magnetic resonance imaging (mpMRI) could support focal boosting or treatment to improve outcomes or lower morbidity, necessitating appropriate CTV margins for mpMRI-defined gross tumor volumes (GTVs). This study aimed to identify CTV margins yielding 95% coverage of PCa tumors for prospective cases with high likelihood. Methods and Materials: Twenty-five men with biopsy-confirmed clinical stage T1 or T2 PCa underwent pre-prostatectomy mpMRI, yielding T2-weighted, dynamic contrast-enhanced, and apparent diffusion coefficient images. Digitized whole-mount histology was contoured and registered to mpMRI scans (error ≤2 mm). Four observers contoured lesion GTVs on each mpMRI scan. CTVs were defined by isotropic and anisotropic expansion from these GTVs and from multiparametric (unioned) GTVs from 2 to 3 scans. Histologic coverage (proportions of tumor area on co-registered histology inside the CTV, measured for Gleason scores [GSs] ≥6 and ≥7) and prostate sparing (proportions of prostate volume outside the CTV) were measured. Nonparametric histologic-coverage prediction intervals defined minimal margins yielding 95% coverage for prospective cases with 78% to 92% likelihood. Results: On analysis of 72 true-positive tumor detections, 95% coverage margins were 9 to 11 mm (GS ≥ 6) and 8 to 10 mm (GS ≥ 7) for single-sequence GTVs and were 8 mm (GS ≥ 6) and 6 mm (GS ≥ 7) for 3-sequence GTVs, yielding CTVs that spared 47% to 81% of prostate tissue for the majority of tumors. Inclusion of T2-weighted contours increased sparing for multiparametric CTVs with 95% coverage margins for GS ≥6, and inclusion of dynamic contrast-enhanced contours increased sparing for GS ≥7. Anisotropic 95% coverage margins increased the sparing proportions to 71% to 86%. Conclusions: Multiparametric magnetic resonance imaging–defined GTVs expanded by appropriate margins may support focal boosting or treatment of PCa; however, these margins, accounting for interobserver and intertumoral variability, may preclude highly conformal CTVs. Multiparametric GTVs and anisotropic margins may reduce the required margins and improve prostate sparing.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ijrobp.2016.04.018

Additional details

Identifiers

DOI
10.1016/j.ijrobp.2016.04.018;
PII
S0360-3016(16)30121-3;

Publishing Information

Journal Title
International Journal of Radiation Oncology, Biology and Physics
Journal Volume
96
Journal Issue
1
Journal Page Range
p. 188-196
ISSN
0360-3016
CODEN
IOBPD3

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
48097393
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
ANIMAL TISSUES; ANISOTROPY; DISEASE INCIDENCE; HISTOLOGY; IMAGES; NEOPLASMS; NMR IMAGING; PROSTATE
Descriptors DEC
BODY; DIAGNOSTIC TECHNIQUES; DISEASES; GLANDS; MALE GENITALS; ORGANS

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.