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Prostate Cancer Risk Stratification in Men With a Clinical Suspicion of Prostate Cancer Using a Unique Biparametric MRI and Expression of 11 Genes in Apparently Benign Tissue: Evaluation Using Machine-Learning Techniques.
Montoya Perez, Ileana; Jambor, Ivan; Pahikkala, Tapio; Airola, Antti; Merisaari, Harri; Saunavaara, Jani; Alinezhad, Saeid; Väänänen, Riina-Minna; Tallgrén, Terhi; Verho, Janne; Kiviniemi, Aida; Ettala, Otto; Knaapila, Juha; Syvänen, Kari T; Kallajoki, Markku; Vainio, Paula; Aronen, Hannu J; Pettersson, Kim; Boström, Peter J; Taimen, Pekka.
Afiliação
  • Montoya Perez I; Department of Diagnostic Radiology, University of Turku, Turku, Finland.
  • Jambor I; Department of Future Technologies, University of Turku, Turku, Finland.
  • Pahikkala T; Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland.
  • Airola A; Department of Diagnostic Radiology, University of Turku, Turku, Finland.
  • Merisaari H; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Saunavaara J; Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland.
  • Alinezhad S; Department of Future Technologies, University of Turku, Turku, Finland.
  • Väänänen RM; Department of Future Technologies, University of Turku, Turku, Finland.
  • Tallgrén T; Department of Diagnostic Radiology, University of Turku, Turku, Finland.
  • Verho J; Department of Future Technologies, University of Turku, Turku, Finland.
  • Kiviniemi A; Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland.
  • Ettala O; Department of Diagnostic Radiology, University of Turku, Turku, Finland.
  • Knaapila J; Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland.
  • Syvänen KT; Department of Biotechnology, University of Turku, Turku, Finland.
  • Kallajoki M; Department of Biotechnology, University of Turku, Turku, Finland.
  • Vainio P; Department of Biotechnology, University of Turku, Turku, Finland.
  • Aronen HJ; Department of Diagnostic Radiology, University of Turku, Turku, Finland.
  • Pettersson K; Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland.
  • Boström PJ; Department of Diagnostic Radiology, University of Turku, Turku, Finland.
  • Taimen P; Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland.
J Magn Reson Imaging ; 51(5): 1540-1553, 2020 05.
Article em En | MEDLINE | ID: mdl-31588660
ABSTRACT

BACKGROUND:

Accurate risk stratification of men with a clinical suspicion of prostate cancer (cSPCa) remains challenging despite the increasing use of MRI.

PURPOSE:

To evaluate the diagnostic accuracy of a unique biparametric MRI protocol (IMPROD bpMRI) combined with clinical and molecular markers in men with cSPCa. STUDY TYPE Prospective single-institutional clinical trial (NCT01864135).

SUBJECTS:

Eighty men with cSPCa. FIELD STRENGTH/SEQUENCE 3T, surface array coils. Two T2 -weighted and three diffusion-weighted imaging (DWI) acquisitions 1) b-values 0, 100, 200, 300, 500 s/mm2 ; 2) b-values 0,1500 s/mm2 ; 3) b-values 0, 2000 s/mm2 . ASSESSMENT IMPROD bpMRI examinations were qualitatively (IMPROD bpMRI Likert score) and quantitatively (DWI-based Gleason grade score) prospectively reported. Men with IMPROD bpMRI Likert 3-5 had two targeted biopsies followed by 12-core systematic biopsies (SB); those with IMPROD bpMRI Likert 1-2 had only SB. Additionally, 2-core from normal-appearing prostate areas were obtained for the mRNA expression of ACSM1, AMACR, CACNA1D, DLX1, PCA3, PLA2G7, RHOU, SPINK1, SPON2, TMPRSS2-ERG, and TDRD1 measured by quantitative reverse-transcription polymerase chain reaction. STATISTICAL TESTS Univariate and multivariate analysis using regularized least-squares, feature selection and tournament leave-pair-out cross-validation (TLPOCV), as well as 10 random splits of the data in training-testing sets, were used to evaluate the mRNA, clinical and IMPROD bpMRI parameters in detecting clinically significant prostate cancer (SPCa) defined as Gleason score ≥ 3 + 4. The evaluation metric was the area under the curve (AUC).

RESULTS:

IMPROD bpMRI Likert demonstrated the highest TLPOCV AUC of 0.92. The tested clinical variables had AUC 0.56-0.73, while the mRNA and additional IMPROD bpMRI parameters had AUC 0.50-0.67 and 0.65-0.89 respectively. The combination of clinical and mRNA biomarkers produced TLPOCV AUC of 0.87, the highest TLPOCV performance without including IMPROD bpMRI Likert. DATA

CONCLUSION:

The qualitative IMPROD bpMRI Likert score demonstrated the highest accuracy for SPCa detection compared with the tested clinical variables and mRNA biomarkers. LEVEL OF EVIDENCE 1 Technical Efficacy Stage 2 J. Magn. Reson. Imaging 2020;511540-1553.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata Tipo de estudo: Clinical_trials / Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans / Male Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata Tipo de estudo: Clinical_trials / Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans / Male Idioma: En Ano de publicação: 2020 Tipo de documento: Article