Diffusion-Weighted Magnetic Resonance Imaging for the Evaluation of Prostate Cancer: Optimal B Value at 3T
Korean Journal of Radiology
;
: 61-69, 2013.
Article
in English
| WPRIM
| ID: wpr-44594
ABSTRACT
OBJECTIVE:
To retrospectively determine the optimal b value of diffusion-weighted imaging (DWI) for predicting the presence of localized prostate cancer, and to evaluate the utility of DWI under different b values in differentiating between cancers and benign prostatic tissues. MATERIALS ANDMETHODS:
Eighty patients with suspected prostate cancer underwent MRI including DWI at 3T, followed by radical prostatectomy. DWI was examined under different b values. Apparent diffusion coefficient (ADC) maps were generated by using b = 0, and other b values of 300, 700, 1000 or 2000 s/mm2. For predicting the presence of cancers, four different ADC maps were analyzed independently by two blinded readers. ADCs were measured in benign and malignant tissues.RESULTS:
For predicting the presence of 110 prostate cancers, the sensitivity and area under the curve (AUC) for an experienced reader was significantly greater at b = 1000 (85% and 0.91) than b = 300, 700 or 2000 s/mm2 (p < 0.01). For a less-experienced reader, the AUC was significantly greater at b = 700, 1000 or 2000 than b = 300 s/mm2 (p < 0.01). Mean ADCs of the cancers in sequence from b = 300 to 2000 s/mm2 were 1.33, 1.03, 0.88 and 0.68 x 10(-3) mm2/s, which were significantly lower than those of benign tissues (p < 0.001).CONCLUSION:
The optimal b value for 3T DWI for predicting the presence of prostate cancer may be 1000 s/mm2.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Prostatectomy
/
Prostatic Neoplasms
/
Biopsy
/
Predictive Value of Tests
/
Retrospective Studies
/
Sensitivity and Specificity
/
Prostate-Specific Antigen
/
Area Under Curve
/
Diffusion Magnetic Resonance Imaging
/
Diagnosis, Differential
Type of study:
Diagnostic study
/
Observational study
/
Prognostic study
Limits:
Aged
/
Aged80
/
Humans
/
Male
Language:
English
Journal:
Korean Journal of Radiology
Year:
2013
Type:
Article
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