Skip to main content
Erschienen in: Abdominal Radiology 11/2016

30.06.2016

Comparison of PI-RADS 2, ADC histogram-derived parameters, and their combination for the diagnosis of peripheral zone prostate cancer

Erschienen in: Abdominal Radiology | Ausgabe 11/2016

Einloggen, um Zugang zu erhalten

Abstract

Purpose

The purpose of this study was to compare the PI-RADS V2 scores, ADC histogram-derived parameters, and their combination for the diagnosis of clinically significant peripheral zone prostate cancer (PCa).

Materials and Methods

The IRB approved this retrospective study of 47 men who underwent 1.5 Tesla endorectal prostate magnetic resonance imaging (MRI). Informed consent was waived. Two readers identified and scored MRI lesions using PI-RADS V2. Their mean, median, 10th, 25th, 75th percentile ADC values, and normalized ratio were also calculated. Multilevel logistic regression and receiver-operating characteristic (ROC) curve analyses assessed their diagnostic performance. Clinically significant PCa was defined as tumor volume over 0.5 cc and Gleason grade of 4 or 5 on prostatectomy.

Results

The area under the ROC curve (A z) of the overall and diffusion-weighted imaging (DWI) PI-RADS V2 scores were 0.69 and 0.84 (reader-1), and 0.68 and 0.73 (reader-2). The A z of ADC parameters ranged from 0.68 to 0.75 for both readers. Compared to other predictors, DWI PI-RADS V2 yielded the highest A z for identification of significant cancer; but, except for reader-1 75th percentile ADC, the differences were not statistically significant (P > 0.05). Adding ADC parameters to PI-RADS V2 scores did not improve their diagnostic ability.

Conclusion

DWI PI-RADS V2 score may a better predictor of clinically significant PCa than the overall PI-RADS V2 score, but its diagnostic performance was not significantly improved by the addition of objective ADC value measurements.
Anhänge
Nur mit Berechtigung zugänglich
Literatur
4.
Zurück zum Zitat Smith DS, Catalona WJ (1995) Interexaminer variability of digital rectal examination in detecting prostate cancer. Urology 45(1):70–74CrossRefPubMed Smith DS, Catalona WJ (1995) Interexaminer variability of digital rectal examination in detecting prostate cancer. Urology 45(1):70–74CrossRefPubMed
5.
Zurück zum Zitat Catalona WJ, Richie JP, Ahmann FR, et al. (1994) Comparison of digital rectal examination and serum prostate specific antigen in the early detection of prostate cancer: results of a multicenter clinical trial of 6,630 men. J Urol 151(5):1283–1290PubMed Catalona WJ, Richie JP, Ahmann FR, et al. (1994) Comparison of digital rectal examination and serum prostate specific antigen in the early detection of prostate cancer: results of a multicenter clinical trial of 6,630 men. J Urol 151(5):1283–1290PubMed
7.
Zurück zum Zitat Partin AW, Mangold LA, Lamm DM, et al. (2001) Contemporary update of prostate cancer staging nomograms (Partin Tables) for the new millennium. Urology 58(6):843–848CrossRefPubMed Partin AW, Mangold LA, Lamm DM, et al. (2001) Contemporary update of prostate cancer staging nomograms (Partin Tables) for the new millennium. Urology 58(6):843–848CrossRefPubMed
8.
Zurück zum Zitat D’Amico AV, Moul J, Carroll PR, et al. (2003) Cancer-specific mortality after surgery or radiation for patients with clinically localized prostate cancer managed during the prostate-specific antigen era. J Clin Oncol 21(11):2163–2172. doi:10.1200/JCO.2003.01.075 CrossRefPubMed D’Amico AV, Moul J, Carroll PR, et al. (2003) Cancer-specific mortality after surgery or radiation for patients with clinically localized prostate cancer managed during the prostate-specific antigen era. J Clin Oncol 21(11):2163–2172. doi:10.​1200/​JCO.​2003.​01.​075 CrossRefPubMed
10.
Zurück zum Zitat Djavan B, Ravery V, Zlotta A, et al. (2001) Prospective evaluation of prostate cancer detected on biopsies 1, 2, 3 and 4: when should we stop? J Urol 166(5):1679–1683CrossRefPubMed Djavan B, Ravery V, Zlotta A, et al. (2001) Prospective evaluation of prostate cancer detected on biopsies 1, 2, 3 and 4: when should we stop? J Urol 166(5):1679–1683CrossRefPubMed
12.
Zurück zum Zitat Peng Y, Jiang Y, Yang C, et al. (2013) Quantitative analysis of multiparametric prostate MR images: differentiation between prostate cancer and normal tissue and correlation with Gleason score–a computer-aided diagnosis development study. Radiology 267(3):787–796. doi:10.1148/radiol.13121454 CrossRefPubMed Peng Y, Jiang Y, Yang C, et al. (2013) Quantitative analysis of multiparametric prostate MR images: differentiation between prostate cancer and normal tissue and correlation with Gleason score–a computer-aided diagnosis development study. Radiology 267(3):787–796. doi:10.​1148/​radiol.​13121454 CrossRefPubMed
13.
14.
Zurück zum Zitat Peng Y, Jiang Y, Antic T, et al. (2014) Validation of quantitative analysis of multiparametric prostate MR images for prostate cancer detection and aggressiveness assessment: a cross-imager study. Radiology 271(2):461–471. doi:10.1148/radiol.14131320 CrossRefPubMed Peng Y, Jiang Y, Antic T, et al. (2014) Validation of quantitative analysis of multiparametric prostate MR images for prostate cancer detection and aggressiveness assessment: a cross-imager study. Radiology 271(2):461–471. doi:10.​1148/​radiol.​14131320 CrossRefPubMed
16.
Zurück zum Zitat Zhang YD, Wang Q, Wu CJ, et al. (2015) The histogram analysis of diffusion-weighted intravoxel incoherent motion (IVIM) imaging for differentiating the gleason grade of prostate cancer. Eur Radiol 25(4):994–1004. doi:10.1007/s00330-014-3511-4 CrossRefPubMed Zhang YD, Wang Q, Wu CJ, et al. (2015) The histogram analysis of diffusion-weighted intravoxel incoherent motion (IVIM) imaging for differentiating the gleason grade of prostate cancer. Eur Radiol 25(4):994–1004. doi:10.​1007/​s00330-014-3511-4 CrossRefPubMed
17.
Zurück zum Zitat Merisaari H, Jambor I (2015) Optimization of b-value distribution for four mathematical models of prostate cancer diffusion-weighted imaging using b values up to 2000 s/mm: simulation and repeatability study. Magn Reson Med 73(5):1954–1969. doi:10.1002/mrm.25310 CrossRefPubMed Merisaari H, Jambor I (2015) Optimization of b-value distribution for four mathematical models of prostate cancer diffusion-weighted imaging using b values up to 2000 s/mm: simulation and repeatability study. Magn Reson Med 73(5):1954–1969. doi:10.​1002/​mrm.​25310 CrossRefPubMed
18.
Zurück zum Zitat Jambor I, Merisaari H, Taimen P, et al. (2015) Evaluation of different mathematical models for diffusion-weighted imaging of normal prostate and prostate cancer using high b-values: a repeatability study. Magn Reson Med 73(5):1988–1998. doi:10.1002/mrm.25323 CrossRefPubMed Jambor I, Merisaari H, Taimen P, et al. (2015) Evaluation of different mathematical models for diffusion-weighted imaging of normal prostate and prostate cancer using high b-values: a repeatability study. Magn Reson Med 73(5):1988–1998. doi:10.​1002/​mrm.​25323 CrossRefPubMed
19.
20.
23.
Zurück zum Zitat DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44(3):837–845CrossRefPubMed DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44(3):837–845CrossRefPubMed
24.
Zurück zum Zitat Kumar V, Jagannathan NR, Kumar R, et al. (2007) Apparent diffusion coefficient of the prostate in men prior to biopsy: determination of a cut-off value to predict malignancy of the peripheral zone. NMR Biomed 20(5):505–511. doi:10.1002/nbm.1114 CrossRefPubMed Kumar V, Jagannathan NR, Kumar R, et al. (2007) Apparent diffusion coefficient of the prostate in men prior to biopsy: determination of a cut-off value to predict malignancy of the peripheral zone. NMR Biomed 20(5):505–511. doi:10.​1002/​nbm.​1114 CrossRefPubMed
Metadaten
Titel
Comparison of PI-RADS 2, ADC histogram-derived parameters, and their combination for the diagnosis of peripheral zone prostate cancer
Publikationsdatum
30.06.2016
Erschienen in
Abdominal Radiology / Ausgabe 11/2016
Print ISSN: 2366-004X
Elektronische ISSN: 2366-0058
DOI
https://doi.org/10.1007/s00261-016-0826-4

Weitere Artikel der Ausgabe 11/2016

Abdominal Radiology 11/2016 Zur Ausgabe

Classics in Abdominal Imaging

Caught in a “nutcracker”

Akuter Schwindel: Wann lohnt sich eine MRT?

28.04.2024 Schwindel Nachrichten

Akuter Schwindel stellt oft eine diagnostische Herausforderung dar. Wie nützlich dabei eine MRT ist, hat eine Studie aus Finnland untersucht. Immerhin einer von sechs Patienten wurde mit akutem ischämischem Schlaganfall diagnostiziert.

Screening-Mammografie offenbart erhöhtes Herz-Kreislauf-Risiko

26.04.2024 Mammografie Nachrichten

Routinemäßige Mammografien helfen, Brustkrebs frühzeitig zu erkennen. Anhand der Röntgenuntersuchung lassen sich aber auch kardiovaskuläre Risikopatientinnen identifizieren. Als zuverlässiger Anhaltspunkt gilt die Verkalkung der Brustarterien.

S3-Leitlinie zu Pankreaskrebs aktualisiert

23.04.2024 Pankreaskarzinom Nachrichten

Die Empfehlungen zur Therapie des Pankreaskarzinoms wurden um zwei Off-Label-Anwendungen erweitert. Und auch im Bereich der Früherkennung gibt es Aktualisierungen.

Fünf Dinge, die im Kindernotfall besser zu unterlassen sind

18.04.2024 Pädiatrische Notfallmedizin Nachrichten

Im Choosing-Wisely-Programm, das für die deutsche Initiative „Klug entscheiden“ Pate gestanden hat, sind erstmals Empfehlungen zum Umgang mit Notfällen von Kindern erschienen. Fünf Dinge gilt es demnach zu vermeiden.

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.