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Detection of Prostate Cancer Using Biparametric Prostate MRI, Radiomics, and Kallikreins: A Retrospective Multicenter Study of Men With a Clinical Suspicion of Prostate Cancer.
Montoya Perez, Ileana; Merisaari, Harri; Jambor, Ivan; Ettala, Otto; Taimen, Pekka; Knaapila, Juha; Kekki, Henna; Khan, Ferdhos L; Syrjälä, Elise; Steiner, Aida; Syvänen, Kari T; Verho, Janne; Seppänen, Marjo; Rannikko, Antti; Riikonen, Jarno; Mirtti, Tuomas; Lamminen, Tarja; Saunavaara, Jani; Falagario, Ugo; Martini, Alberto; Pahikkala, Tapio; Pettersson, Kim; Boström, Peter J; Aronen, Hannu J.
Afiliação
  • Montoya Perez I; Department of Diagnostic Radiology, University of Turku, Turku, Finland.
  • Merisaari H; Department of Computing, University of Turku, Turku, Finland.
  • Jambor I; Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland.
  • Ettala O; Department of Diagnostic Radiology, University of Turku, Turku, Finland.
  • Taimen P; Department of Computing, University of Turku, Turku, Finland.
  • Knaapila J; Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland.
  • Kekki H; Department of Diagnostic Radiology, University of Turku, Turku, Finland.
  • Khan FL; Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland.
  • Syrjälä E; Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, USA.
  • Steiner A; Department of Urology, University of Turku, Turku University Hospital, Turku, Finland.
  • Syvänen KT; Institute of Biomedicine, Department of Pathology, University of Turku, Turku University Hospital, Turku, Finland.
  • Verho J; Department of Urology, University of Turku, Turku University Hospital, Turku, Finland.
  • Seppänen M; Department of Biotechnology, University of Turku, Turku, Finland.
  • Rannikko A; Department of Biotechnology, University of Turku, Turku, Finland.
  • Riikonen J; Department of Computing, University of Turku, Turku, Finland.
  • Mirtti T; Department of Diagnostic Radiology, University of Turku, Turku, Finland.
  • Lamminen T; Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland.
  • Saunavaara J; Department of Urology, University of Turku, Turku University Hospital, Turku, Finland.
  • Falagario U; Department of Diagnostic Radiology, University of Turku, Turku, Finland.
  • Martini A; Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland.
  • Pahikkala T; Department of Surgery, Satakunta Central Hospital, Pori, Finland.
  • Pettersson K; Department of Urology, Helsinki University, Helsinki University Hospital, Helsinki, Finland.
  • Boström PJ; Department of Urology, Tampere University Hospital, University of Tampere, Tampere, Finland.
  • Aronen HJ; Department of Pathology, University of Helsinki, Helsinki, Finland.
J Magn Reson Imaging ; 55(2): 465-477, 2022 02.
Article em En | MEDLINE | ID: mdl-34227169
ABSTRACT

BACKGROUND:

Accurate detection of clinically significant prostate cancer (csPCa), Gleason Grade Group ≥ 2, remains a challenge. Prostate MRI radiomics and blood kallikreins have been proposed as tools to improve the performance of biparametric MRI (bpMRI).

PURPOSE:

To develop and validate radiomics and kallikrein models for the detection of csPCa. STUDY TYPE Retrospective. POPULATION A total of 543 men with a clinical suspicion of csPCa, 411 (76%, 411/543) had kallikreins available and 360 (88%, 360/411) did not take 5-alpha-reductase inhibitors. Two data splits into training, validation (split 1 single center, n = 72; split 2 random 50% of pooled datasets from all four centers), and testing (split 1 4 centers, n = 288; split 2 remaining 50%) were evaluated. FIELD STRENGTH/SEQUENCE A 3 T/1.5 T, TSE T2-weighted imaging, 3x SE DWI. ASSESSMENT In total, 20,363 radiomic features calculated from manually delineated whole gland (WG) and bpMRI suspicion lesion masks were evaluated in addition to clinical parameters, prostate-specific antigen, four kallikreins, MRI-based qualitative (PI-RADSv2.1/IMPROD bpMRI Likert) scores. STATISTICAL TESTS For the detection of csPCa, area under receiver operating curve (AUC) was calculated using the DeLong's method. A multivariate analysis was conducted to determine the predictive power of combining variables. The values of P-value < 0.05 were considered significant.

RESULTS:

The highest prediction performance was achieved by IMPROD bpMRI Likert and PI-RADSv2.1 score with AUC = 0.85 and 0.85 in split 1, 0.85 and 0.83 in split 2, respectively. bpMRI WG and/or kallikreins demonstrated AUCs ranging from 0.62 to 0.73 in split 1 and from 0.68 to 0.76 in split 2. AUC of bpMRI lesion-derived radiomics model was not statistically different to IMPROD bpMRI Likert score (split 1 AUC = 0.83, P-value = 0.306; split 2 AUC = 0.83, P-value = 0.488). DATA

CONCLUSION:

The use of radiomics and kallikreins failed to outperform PI-RADSv2.1/IMPROD bpMRI Likert and their combination did not lead to further performance gains. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY Stage 2.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Próstata / Neoplasias da Próstata Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Qualitative_research Limite: Humans / Male Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Finlândia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Próstata / Neoplasias da Próstata Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Qualitative_research Limite: Humans / Male Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Finlândia