Characterization of low-intensity lesions in the peripheral zone of prostate on pre-biopsy endorectal coil MR imaging

2001 ◽  
Vol 12 (2) ◽  
pp. 357-365 ◽  
Author(s):  
M. Cruz ◽  
K. Tsuda ◽  
Y. Narumi ◽  
Y. Kuroiwa ◽  
T. Nose ◽  
...  
Author(s):  
Hala Maher Ahmed ◽  
Ahmed Ebrahim Ebeed ◽  
Ahmed Hamdy ◽  
Mohamed Abou El-Ghar ◽  
Ahmed Abdel Khalek Abdel Razek

Abstract Background A retrospective study was conducted on 71 consecutive patients with suspected prostate cancer (PCa) with a mean age of 56 years and underwent mp-MRI of the prostate at 3 Tesla MRI. Two readers recognized all prostatic lesions, and each lesion had a score according to Prostate Imaging–Reporting and Data System version 2 (PI-RADS-v2). Purpose of the study To evaluate the interobserver agreement of PI-RADS-v2 in characterization of prostatic lesions using multiparametric MRI (mp-MRI) at 3 Tesla MRI. Results The overall interobserver agreement of PI-RADS-v2 for both zones was excellent (k = 0.81, percent agreement = 94.9%). In the peripheral zone (PZ) lesions are the interobserver agreement for PI-RADS II (k = 0.78, percent agreement = 83.9%), PI-RADS III (k = 0.66, percent agreement = 91.3 %), PI-RADS IV (k = 0.69, percent agreement = 93.5%), and PI-RADS V (k = 0.91, percent agreement = 95.7 %). In the transitional zone (TZ) lesions are the interobserver agreement for PI-RADS I (k = 0.98, percent of agreement = 96%), PI-RADS II (k = 0.65, percent agreement = 96%), PI-RADS III (k = 0.65, percent agreement = 88%), PI-RADS IV (k = 0.83, percent agreement = 96%), and PI-RADS V (k = 0.82, percent agreement = 92%). Conclusion We concluded that PI-RADS-v2 is a reliable and a reproducible imaging modality for the characterization of prostatic lesions and detection of PCa.


2003 ◽  
Vol 180 (5) ◽  
pp. 1265-1269 ◽  
Author(s):  
Koji Takahashi ◽  
Tsutomu Inaoka ◽  
Noboru Murakami ◽  
Hatsune Hirota ◽  
Kunihiro Iwata ◽  
...  
Keyword(s):  

Radiology ◽  
2014 ◽  
Vol 270 (1) ◽  
pp. 261-268 ◽  
Author(s):  
Myriam Edjlali ◽  
Pauline Roca ◽  
Cécile Rabrait ◽  
Denis Trystram ◽  
Christine Rodriguez-Régent ◽  
...  

1995 ◽  
Vol 5 (1) ◽  
pp. 7-10 ◽  
Author(s):  
Andreas Muhler ◽  
Johannes Platzek ◽  
Bernd Radüchel ◽  
Thomas Frenzel ◽  
Hanns-Joachim Weinmann

2016 ◽  
Vol 47 (4) ◽  
pp. 1689-1700 ◽  
Author(s):  
Donia M. Sobh ◽  
Galal El Sayed Magdy El Hawary ◽  
Mohamed Abou El Ghar ◽  
Tarek Abd El Moneim El-Diasty ◽  
Magdy El-Sayed Settein ◽  
...  

2003 ◽  
Vol 13 (5) ◽  
pp. 931-942 ◽  
Author(s):  
Olivier Rouvière ◽  
Anne Raudrant ◽  
René Ecochard ◽  
Catherine Colin-Pangaud ◽  
Carole Pasquiou ◽  
...  

2012 ◽  
Vol 53 (1) ◽  
pp. 119-126 ◽  
Author(s):  
Yan Zhang ◽  
Jie Tang ◽  
Yan-mi Li ◽  
Xiang Fei ◽  
En-hui He ◽  
...  

Background Elasticity is an important characteristic of tissue. During an elastography examination, various strain images of lesions are observed, and a suitable classification of strain patterns (SP) may provide vital diagnostic information about lesions. Numerous studies have shown that ultrasound elastography can improve the detection of prostate cancer, but the diagnostic value of SP classification has not yet been fully evaluated. Purpose To investigate the contribution of SP on the characterization of prostate peripheral zone lesions by transrectal real-time tissue elastography (TRTE) in combination with conventional transrectal ultrasonography (TRUS). Material and Methods One hundred and seventy-one patients with suspected prostate cancer underwent TRUS and TRTE examinations. The SPs of the suspicious lesions were classified into five scores by TRTE according to the degree and distribution of strain. All findings were confirmed by transrectal systematic 12-core biopsies and targeted biopsies for suspicious areas detecting by TRUS and/or TRTE. Results One hundred and forty-eight of 171 patients had high-quality TRTE imaging and were included into the study. When a cut-off point of SP score III was used, the area under the receiver-operating characteristic curve (AUC) was, respectively, 0.75 (95% CI: 0.67–0.83), 0.85 (95% CI: 0.78–0.91) and 0.84 (95% CI: 0.77–0.91) for the diagnosis of prostate cancer by TRUS, TRTE and TRTE + TRUS. A linear tendency of SP and Gleason scores was observed in scores III-V. The detection rate of prostate cancer using TRTE-targeted biopsy (75.8%) was significantly higher than that of systematic 12-core biopsy plus TRUS-targeted biopsy (14.5%) ( P = 0.00). Conclusion This study suggests the significant contribution of SP on characterization of prostate peripheral zone lesions and the improvement of TRTE-targeted biopsy on detection of prostate cancer.


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