The value of blood oxygenation level-dependent (BOLD) MR imaging in differentiation of renal solid mass and grading of renal cell carcinoma (RCC): analysis based on the largest cross-sectional area versus the entire whole tumour

PLoS One. 2015 Apr 15;10(4):e0123431. doi: 10.1371/journal.pone.0123431. eCollection 2015.

Abstract

Objectives: To study the value of assessing renal masses using different methods in parameter approaches and to determine whether BOLD MRI is helpful in differentiating RCC from benign renal masses, differentiating clear-cell RCC from renal masses other than clear-cell RCC and determining the tumour grade.

Methods: Ninety-five patients with 139 renal masses (93 malignant and 46 benign) who underwent abdominal BOLD MRI were enrolled. R2* values were derived from the largest cross-section (R2*largest) and from the whole tumour (R2*whole). Intra-observer and inter-observer agreements were analysed based on two measurements by the same observer and the first measurement from each observer, respectively, and these agreements are reported with intra-class correlation coefficients and 95% confidence intervals. The diagnostic value of the R2* value in the evaluation was assessed with receiver-operating characteristic analysis.

Results: The intra-observer agreement was very good for R2*largest and R2*whole (all > 0.8). The inter-observer agreement of R2*whole (0.75, 95% confidence interval: 0.69~0.79) was good and was significantly improved compared with the R2*largest (0.61, 95% confidence interval: 0.52~0.68), as there was no overlap in the 95% confidence interval of the intra-class correlation coefficients. The diagnostic value in differentiating renal cell carcinoma from benign lesions with R2*whole (AUC=0.79/0.78[observer1/observer2]) and R2*largest (AUC=0.75[observer1]) was good and significantly higher (p=0.01 for R2*largest[observer2] vs R2*whole[observer2], p<0.01 for R2*whole[observer1] vs R2*largest[observer2]) than R2*largest for observer 2 (AUC=0.64). For the grading of clear-cell RCC, both R2*whole and R2*largest were good (all > 0.7) and were not significantly different (p=0.89/0.93 for R2*largest vs R2*whole[observer1/observer2], 0.96 for R2*whole[observer1] vs R2*largest[observer2] and 0.96 for R2*whole [observer2] vs R2*largest[observer1]).

Conclusions: BOLD MRI could provide a feasible parameter for differentiating renal cell carcinoma from benign renal masses and for predicting clear-cell renal cell carcinoma grading. Compared with the largest cross-section, assessing the whole tumour provides better inter-observer agreement in parameter measurement for differentiating renal cell carcinoma from benign renal masses.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Carcinoma, Renal Cell / blood
  • Carcinoma, Renal Cell / diagnosis*
  • Carcinoma, Renal Cell / pathology
  • Diagnosis, Differential
  • Diffusion Magnetic Resonance Imaging / methods*
  • Diffusion Magnetic Resonance Imaging / statistics & numerical data
  • Female
  • Hemoglobins / metabolism
  • Humans
  • Kidney / metabolism
  • Kidney / pathology
  • Kidney Neoplasms / blood
  • Kidney Neoplasms / diagnosis*
  • Kidney Neoplasms / pathology
  • Male
  • Middle Aged
  • Neoplasm Grading
  • Neoplasms / blood
  • Neoplasms / diagnosis*
  • Neoplasms / pathology
  • Observer Variation
  • Oxygen / metabolism
  • ROC Curve

Substances

  • Hemoglobins
  • Oxygen

Grants and funding

This work was supported by National Natural Science Foundation of China (81371622) and National Basic Research Program of China/973 Program (2012CB932600).