Assessment of Cervical Cancer with a Parameter-Free Intravoxel Incoherent Motion Imaging Algorithm

Korean J Radiol. 2017 May-Jun;18(3):510-518. doi: 10.3348/kjr.2017.18.3.510. Epub 2017 Apr 3.

Abstract

Objective: To evaluate the feasibility of a parameter-free intravoxel incoherent motion (IVIM) approach in cervical cancer, to assess the optimal b-value threshold, and to preliminarily examine differences in the derived perfusion and diffusion parameters for different histological cancer types.

Materials and methods: After Institutional Review Board approval, 19 female patients (mean age, 54 years; age range, 37-78 years) gave consent and were enrolled in this prospective magnetic resonance imaging study. Clinical staging and biopsy results were obtained. Echo-planar diffusion weighted sequences at 13 b-values were acquired at 3 tesla field strength. Single-sliced region-of-interest IVIM analysis with adaptive b-value thresholds was applied to each tumor, yielding the optimal fit and the optimal parameters for pseudodiffusion (D*), perfusion fraction (Fp) and diffusion coefficient (D). Monoexponential apparent diffusion coefficient (ADC) was calculated for comparison with D.

Results: Biopsy revealed squamous cell carcinoma in 10 patients and adenocarcinoma in 9. The b-value threshold (median [interquartile range]) depended on the histological type and was 35 (22.5-50) s/mm2 in squamous cell carcinoma and 150 (100-150) s/mm2 in adenocarcinoma (p < 0.05). Comparing squamous cell vs. adenocarcinoma, D* (45.1 [25.1-60.4] × 10-3 mm2/s vs. 12.4 [10.5-21.2] × 10-3 mm2/s) and Fp (7.5% [7.0-9.0%] vs. 9.9% [9.0-11.4%]) differed significantly between the subtypes (p < 0.02), whereas D did not (0.89 [0.75-0.94] × 10-3 mm2/s vs. 0.90 [0.82-0.97] × 10-3 mm2/s, p = 0.27). The residuals did not differ (0.74 [0.60-0.92] vs. 0.94 [0.67-1.01], p = 0.32). The ADC systematically underestimated the magnitude of diffusion restriction compared to D (p < 0.001).

Conclusion: The parameter-free IVIM approach is feasible in cervical cancer. The b-value threshold and perfusion-related parameters depend on the tumor histology type.

Keywords: Diffusion MRI; MRI; Perfusion imaging; Technology assessment; Uterine cervical cancer.

MeSH terms

  • Adenocarcinoma / diagnosis*
  • Adenocarcinoma / diagnostic imaging
  • Adenocarcinoma / pathology
  • Adult
  • Aged
  • Algorithms*
  • Area Under Curve
  • Carcinoma, Squamous Cell / diagnosis*
  • Carcinoma, Squamous Cell / diagnostic imaging
  • Carcinoma, Squamous Cell / pathology
  • Diffusion Magnetic Resonance Imaging
  • Female
  • Humans
  • Middle Aged
  • Neoplasm Staging
  • Prospective Studies
  • ROC Curve
  • Uterine Cervical Neoplasms / diagnosis*
  • Uterine Cervical Neoplasms / diagnostic imaging
  • Uterine Cervical Neoplasms / pathology