Reduction of false positives using zone-specific prostate-specific antigen density for prostate MRI-based biopsy decision strategies

被引:9
|
作者
Hamm, Charlie A. [1 ,2 ,3 ,4 ,5 ]
Baumgaertner, Georg L. [1 ,2 ,3 ,4 ]
Padhani, Anwar R. [6 ]
Froboese, Konrad P. [1 ,2 ,3 ,4 ]
Draeger, Franziska [1 ,2 ,3 ,4 ]
Beetz, Nick L. [1 ,2 ,3 ,4 ,5 ]
Savic, Lynn J. [1 ,2 ,3 ,4 ,5 ]
Posch, Helena [1 ,2 ,3 ,4 ]
Lenk, Julian [1 ,2 ,3 ,4 ]
Schallenberg, Simon [2 ,3 ,4 ,7 ]
Maxeiner, Andreas [2 ,3 ,4 ,8 ]
Cash, Hannes [9 ,10 ]
Guenzel, Karsten [11 ]
Hamm, Bernd [1 ,2 ,3 ,4 ]
Asbach, Patrick [1 ,2 ,3 ,4 ]
Penzkofer, Tobias [1 ,2 ,3 ,4 ,5 ]
机构
[1] Charite Univ Med Berlin, Dept Radiol, Berlin, Germany
[2] Free Univ Berlin, Berlin, Germany
[3] Humboldt Univ, Berlin, Germany
[4] Berlin Inst Hlth, Berlin, Germany
[5] Berlin Inst Hlth BIH, Berlin, Germany
[6] Mt Vernon Hosp, Paul Strickland Scanner Ctr, Northwood, Middx, England
[7] Charite Univ Med Berlin, Inst Pathol, Berlin, Germany
[8] Charite Univmed Berlin, Dept Urol, Berlin, Germany
[9] Otto von Guericke Univ, Dept Urol, Magdeburg, Germany
[10] PROURO, Berlin, Germany
[11] Vivantes Klinikum Urban, Dept Urol, Berlin, Germany
关键词
Prostatic neoplasms; Magnetic resonance imaging; Prostate-specific antigen density; Clinical decision-making; Image-guided biopsy; TRANSRECTAL ULTRASOUND; CANCER; VOLUME; PART;
D O I
10.1007/s00330-024-10700-z
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
<bold>Objectives: </bold>To develop and test zone-specific prostate-specific antigen density (sPSAD) combined with PI-RADS to guide prostate biopsy decision strategies (BDS). <bold>Methods: </bold>This retrospective study included consecutive patients, who underwent prostate MRI and biopsy (01/2012-10/2018). The whole gland and transition zone (TZ) were segmented at MRI using a retrained deep learning system (DLS; nnU-Net) to calculate PSAD and sPSAD, respectively. Additionally, sPSAD and PI-RADS were combined in a BDS, and diagnostic performances to detect Grade Group >= 2 (GG >= 2) prostate cancer were compared. Patient-based cancer detection using sPSAD was assessed by bootstrapping with 1000 repetitions and reported as area under the curve (AUC). Clinical utility of the BDS was tested in the hold-out test set using decision curve analysis. Statistics included nonparametric DeLong test for AUCs and Fisher-Yates test for remaining performance metrics. <bold>Results: </bold>A total of 1604 patients aged 67 (interquartile range, 61-73) with 48% GG >= 2 prevalence (774/1604) were evaluated. By employing DLS-based prostate and TZ volumes (DICE coefficients of 0.89 (95% confidence interval, 0.80-0.97) and 0.84 (0.70-0.99)), GG >= 2 detection using PSAD was inferior to sPSAD (AUC, 0.71 (0.68-0.74)/0.73 (0.70-0.76); p < 0.001). Combining PI-RADS with sPSAD, GG >= 2 detection specificity doubled from 18% (10-20%) to 43% (30-44%; p < 0.001) with similar sensitivity (93% (89-96%)/97% (94-99%); p = 0.052), when biopsies were taken in PI-RADS 4-5 and 3 only if sPSAD was >= 0.42 ng/mL/cc as compared to all PI-RADS 3-5 cases. Additionally, using the sPSAD-based BDS, false positives were reduced by 25% (123 (104-142)/165 (146-185); p < 0.001). <bold>Conclusion: </bold>Using sPSAD to guide biopsy decisions in PI-RADS 3 lesions can reduce false positives at MRI while maintaining high sensitivity for GG >= 2 cancers. <bold>Clinical relevance statement: </bold>Transition zone-specific prostate-specific antigen density can improve the accuracy of prostate cancer detection compared to MRI assessments alone, by lowering false-positive cases without significantly missing men with ISUP GG >= 2 cancers.
引用
收藏
页码:6229 / 6240
页数:12
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