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Erschienen in: Medical Oncology 12/2014

01.12.2014 | Original Paper

Resistive index of prostatic capsular arteries as a predictor of prostate cancer in patients undergoing initial prostate biopsy

verfasst von: Xuefeng Zhang, Gang Li, Linkun Hu, Xuedong Wei, Yueqin Zha, Huming Yin, Mubin Sun, Jun He, Jianquan Hou

Erschienen in: Medical Oncology | Ausgabe 12/2014

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Abstract

To evaluate the value of resistive index (RI) of prostatic capsular arteries in diagnosis and evaluation of prostate cancer (PCa) in Chinese patients undergoing initial prostate biopsy. A total of 532 consecutive patients undergoing prostate biopsy were enrolled in this study. RI was measured on the largest transverse section of prostate for each individual. The predictive value of RI was evaluated using multivariate logistic regression and receiver operating characteristic (ROC) curve analyses. PCa was identified in 217 (40.79 %) patients. RI was 0.69 ± 0.08 and 0.8 ± 0.08 for patients without and with PCa (p < 0.01). On logistic regression RI was significantly associated with PCa (p < 0.01). Using ROC analysis RI outperformed tPSA in prediction of PCa in all patients [area under ROC curve (AUC) = 0.83, 0.78, respectively]. With the cutoff value of 0.73, RI discriminated PCa from non-PCa patients with 81.9 % sensitivity, 75.9 % specificity and 77.63 % diagnostic accuracy. Furthermore, The AUC for RI in the discrimination of PCa from non-PCa patients in a subset with PSA of 4 to 10 ng/ml, high grade from non-high grade PCa patients and advanced from localized PCa patients was 0.70, 0.77 and 0.80, higher than other parameters (p < 0.05). RI is proved a practicable parameter in identifying patients at risk for PCa and predicting the grade and stage of PCa before initial prostate biopsy. The value of RI should be further explored in the future.
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Metadaten
Titel
Resistive index of prostatic capsular arteries as a predictor of prostate cancer in patients undergoing initial prostate biopsy
verfasst von
Xuefeng Zhang
Gang Li
Linkun Hu
Xuedong Wei
Yueqin Zha
Huming Yin
Mubin Sun
Jun He
Jianquan Hou
Publikationsdatum
01.12.2014
Verlag
Springer US
Erschienen in
Medical Oncology / Ausgabe 12/2014
Print ISSN: 1357-0560
Elektronische ISSN: 1559-131X
DOI
https://doi.org/10.1007/s12032-014-0297-9

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