Evaluation of dispersion MRI for improved prostate cancer diagnosis in a multicenter study

Simona Turco, Cristina Lavini, Stijn Heijmink, Jelle Barentsz, Hessel Wijkstra, Massimo Mischi

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

1 Citaat (Scopus)

Uittreksel

OBJECTIVE. The purpose of this study is to compare dispersion MRI and Tofts model (TM) for analysis of quantitative dynamic contrast-enhanced (DCE) MRI (DCE-MRI) for localization of prostate cancer and to assess the correlation between quantitative DCE-MRI parameters and tumor grade. MATERIALS AND METHODS. This retrospective multicenter study included 80 patients with biopsy-proven prostate cancer who underwent DCE-MRI followed by radical prostatectomy. DCE-MRI parameters were extracted from dispersion MRI analysis (the dispersion parameter [kd], the flux rate [kep], and the intravascular mean transit time) and TM analysis (the forward volume transfer constant [Ktrans], kep, and the extravascular extracellular volume fraction [ve]). ROIs representing benign and malignant tissue were drawn on each DCE-MRI slice according to the histopathologic findings, and the diagnostic performance of the estimated parameters for the diagnosis of prostate cancer was evaluated using fivefold cross-validation and ROC curve analysis. Further analysis was conducted for the two most relevant parameters (i.e., kd [for dispersion MRI] and kep [for TM]), to investigate the correlation between DCE-MRI parameters and tumor grade. RESULTS. DCE-MRI parameters were significantly different between benign and malignant prostate tissue (p < 0.0001). The dispersion MRI parameter kd outperformed all other DCE-MRI parameters for prostate cancer diagnosis, showing the highest area under the ROC curve value (p < 0.0001). Only a weak linear correlation (Pearson r = 0.18; p < 0.05) was found between the dispersion parameter and the Gleason grade group. CONCLUSION. Dispersion MRI outperformed TM analysis, improving the diagnostic performance of quantitative DCE-MRI for prostate cancer localization. Of the DCE-MRI parameters, kd (for dispersion MRI) and kep (for TM) provided only poor characterization of tumor grade.

TaalEngels
Pagina'sW242-W251
TijdschriftAmerican journal of Roentgenology
Volume211
Nummer van het tijdschrift5
DOI's
StatusGepubliceerd - 1 nov 2018

Vingerafdruk

Multicenter Studies
Prostatic Neoplasms
ROC Curve
Neoplasms
Prostatectomy
Area Under Curve
Prostate
Retrospective Studies
Biopsy

Trefwoorden

    Citeer dit

    @article{fe8a031bac10411096b0b9b321a94eed,
    title = "Evaluation of dispersion MRI for improved prostate cancer diagnosis in a multicenter study",
    abstract = "OBJECTIVE. The purpose of this study is to compare dispersion MRI and Tofts model (TM) for analysis of quantitative dynamic contrast-enhanced (DCE) MRI (DCE-MRI) for localization of prostate cancer and to assess the correlation between quantitative DCE-MRI parameters and tumor grade. MATERIALS AND METHODS. This retrospective multicenter study included 80 patients with biopsy-proven prostate cancer who underwent DCE-MRI followed by radical prostatectomy. DCE-MRI parameters were extracted from dispersion MRI analysis (the dispersion parameter [kd], the flux rate [kep], and the intravascular mean transit time) and TM analysis (the forward volume transfer constant [Ktrans], kep, and the extravascular extracellular volume fraction [ve]). ROIs representing benign and malignant tissue were drawn on each DCE-MRI slice according to the histopathologic findings, and the diagnostic performance of the estimated parameters for the diagnosis of prostate cancer was evaluated using fivefold cross-validation and ROC curve analysis. Further analysis was conducted for the two most relevant parameters (i.e., kd [for dispersion MRI] and kep [for TM]), to investigate the correlation between DCE-MRI parameters and tumor grade. RESULTS. DCE-MRI parameters were significantly different between benign and malignant prostate tissue (p < 0.0001). The dispersion MRI parameter kd outperformed all other DCE-MRI parameters for prostate cancer diagnosis, showing the highest area under the ROC curve value (p < 0.0001). Only a weak linear correlation (Pearson r = 0.18; p < 0.05) was found between the dispersion parameter and the Gleason grade group. CONCLUSION. Dispersion MRI outperformed TM analysis, improving the diagnostic performance of quantitative DCE-MRI for prostate cancer localization. Of the DCE-MRI parameters, kd (for dispersion MRI) and kep (for TM) provided only poor characterization of tumor grade.",
    keywords = "cancer angiogenesis, dynamic contrastenhanced MRI, multiparametric MRI, pharmacokinetic modeling, prostate cancer",
    author = "Simona Turco and Cristina Lavini and Stijn Heijmink and Jelle Barentsz and Hessel Wijkstra and Massimo Mischi",
    year = "2018",
    month = "11",
    day = "1",
    doi = "10.2214/AJR.17.19215",
    language = "English",
    volume = "211",
    pages = "W242--W251",
    journal = "American journal of Roentgenology",
    issn = "0361-803X",
    publisher = "American Roentgen Ray Society",
    number = "5",

    }

    Evaluation of dispersion MRI for improved prostate cancer diagnosis in a multicenter study. / Turco, Simona; Lavini, Cristina; Heijmink, Stijn; Barentsz, Jelle; Wijkstra, Hessel; Mischi, Massimo.

    In: American journal of Roentgenology, Vol. 211, Nr. 5, 01.11.2018, blz. W242-W251.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

    TY - JOUR

    T1 - Evaluation of dispersion MRI for improved prostate cancer diagnosis in a multicenter study

    AU - Turco,Simona

    AU - Lavini,Cristina

    AU - Heijmink,Stijn

    AU - Barentsz,Jelle

    AU - Wijkstra,Hessel

    AU - Mischi,Massimo

    PY - 2018/11/1

    Y1 - 2018/11/1

    N2 - OBJECTIVE. The purpose of this study is to compare dispersion MRI and Tofts model (TM) for analysis of quantitative dynamic contrast-enhanced (DCE) MRI (DCE-MRI) for localization of prostate cancer and to assess the correlation between quantitative DCE-MRI parameters and tumor grade. MATERIALS AND METHODS. This retrospective multicenter study included 80 patients with biopsy-proven prostate cancer who underwent DCE-MRI followed by radical prostatectomy. DCE-MRI parameters were extracted from dispersion MRI analysis (the dispersion parameter [kd], the flux rate [kep], and the intravascular mean transit time) and TM analysis (the forward volume transfer constant [Ktrans], kep, and the extravascular extracellular volume fraction [ve]). ROIs representing benign and malignant tissue were drawn on each DCE-MRI slice according to the histopathologic findings, and the diagnostic performance of the estimated parameters for the diagnosis of prostate cancer was evaluated using fivefold cross-validation and ROC curve analysis. Further analysis was conducted for the two most relevant parameters (i.e., kd [for dispersion MRI] and kep [for TM]), to investigate the correlation between DCE-MRI parameters and tumor grade. RESULTS. DCE-MRI parameters were significantly different between benign and malignant prostate tissue (p < 0.0001). The dispersion MRI parameter kd outperformed all other DCE-MRI parameters for prostate cancer diagnosis, showing the highest area under the ROC curve value (p < 0.0001). Only a weak linear correlation (Pearson r = 0.18; p < 0.05) was found between the dispersion parameter and the Gleason grade group. CONCLUSION. Dispersion MRI outperformed TM analysis, improving the diagnostic performance of quantitative DCE-MRI for prostate cancer localization. Of the DCE-MRI parameters, kd (for dispersion MRI) and kep (for TM) provided only poor characterization of tumor grade.

    AB - OBJECTIVE. The purpose of this study is to compare dispersion MRI and Tofts model (TM) for analysis of quantitative dynamic contrast-enhanced (DCE) MRI (DCE-MRI) for localization of prostate cancer and to assess the correlation between quantitative DCE-MRI parameters and tumor grade. MATERIALS AND METHODS. This retrospective multicenter study included 80 patients with biopsy-proven prostate cancer who underwent DCE-MRI followed by radical prostatectomy. DCE-MRI parameters were extracted from dispersion MRI analysis (the dispersion parameter [kd], the flux rate [kep], and the intravascular mean transit time) and TM analysis (the forward volume transfer constant [Ktrans], kep, and the extravascular extracellular volume fraction [ve]). ROIs representing benign and malignant tissue were drawn on each DCE-MRI slice according to the histopathologic findings, and the diagnostic performance of the estimated parameters for the diagnosis of prostate cancer was evaluated using fivefold cross-validation and ROC curve analysis. Further analysis was conducted for the two most relevant parameters (i.e., kd [for dispersion MRI] and kep [for TM]), to investigate the correlation between DCE-MRI parameters and tumor grade. RESULTS. DCE-MRI parameters were significantly different between benign and malignant prostate tissue (p < 0.0001). The dispersion MRI parameter kd outperformed all other DCE-MRI parameters for prostate cancer diagnosis, showing the highest area under the ROC curve value (p < 0.0001). Only a weak linear correlation (Pearson r = 0.18; p < 0.05) was found between the dispersion parameter and the Gleason grade group. CONCLUSION. Dispersion MRI outperformed TM analysis, improving the diagnostic performance of quantitative DCE-MRI for prostate cancer localization. Of the DCE-MRI parameters, kd (for dispersion MRI) and kep (for TM) provided only poor characterization of tumor grade.

    KW - cancer angiogenesis

    KW - dynamic contrastenhanced MRI

    KW - multiparametric MRI

    KW - pharmacokinetic modeling

    KW - prostate cancer

    UR - http://www.scopus.com/inward/record.url?scp=85055163050&partnerID=8YFLogxK

    U2 - 10.2214/AJR.17.19215

    DO - 10.2214/AJR.17.19215

    M3 - Article

    VL - 211

    SP - W242-W251

    JO - American journal of Roentgenology

    T2 - American journal of Roentgenology

    JF - American journal of Roentgenology

    SN - 0361-803X

    IS - 5

    ER -