Your browser doesn't support javascript.
loading
The SmartTarget Biopsy Trial: A Prospective, Within-person Randomised, Blinded Trial Comparing the Accuracy of Visual-registration and Magnetic Resonance Imaging/Ultrasound Image-fusion Targeted Biopsies for Prostate Cancer Risk Stratification.
Hamid, Sami; Donaldson, Ian A; Hu, Yipeng; Rodell, Rachael; Villarini, Barbara; Bonmati, Ester; Tranter, Pamela; Punwani, Shonit; Sidhu, Harbir S; Willis, Sarah; van der Meulen, Jan; Hawkes, David; McCartan, Neil; Potyka, Ingrid; Williams, Norman R; Brew-Graves, Chris; Freeman, Alex; Moore, Caroline M; Barratt, Dean; Emberton, Mark; Ahmed, Hashim U.
Afiliação
  • Hamid S; Research Department of Urology, Division of Surgery and Interventional Science, Faculty of Medicine, University College London, London, UK; Department of Urology, UCLH NHS Foundation Trust, London, UK.
  • Donaldson IA; Research Department of Urology, Division of Surgery and Interventional Science, Faculty of Medicine, University College London, London, UK; Department of Urology, UCLH NHS Foundation Trust, London, UK.
  • Hu Y; UCL Centre for Medical Image Computing, Department of Medical Physics & Biomedical Engineering, University College London, London, UK.
  • Rodell R; UCL Centre for Medical Image Computing, Department of Medical Physics & Biomedical Engineering, University College London, London, UK.
  • Villarini B; UCL Centre for Medical Image Computing, Department of Medical Physics & Biomedical Engineering, University College London, London, UK.
  • Bonmati E; UCL Centre for Medical Image Computing, Department of Medical Physics & Biomedical Engineering, University College London, London, UK.
  • Tranter P; Translational Research Office, School of Life and Medical Sciences, University College London, London, UK.
  • Punwani S; Department of Radiology, UCLH NHS Foundation Trust, London, UK; Centre for Medical Imaging, Division of Medicine, Faculty of Medicine, University College London, London, UK.
  • Sidhu HS; Department of Radiology, UCLH NHS Foundation Trust, London, UK; Centre for Medical Imaging, Division of Medicine, Faculty of Medicine, University College London, London, UK.
  • Willis S; Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK.
  • van der Meulen J; Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK.
  • Hawkes D; UCL Centre for Medical Image Computing, Department of Medical Physics & Biomedical Engineering, University College London, London, UK.
  • McCartan N; Research Department of Urology, Division of Surgery and Interventional Science, Faculty of Medicine, University College London, London, UK; Surgical and Interventional Trials Unit, Division of Surgery and Interventional Science, Faculty of Medical Sciences, University College London, London, UK.
  • Potyka I; Surgical and Interventional Trials Unit, Division of Surgery and Interventional Science, Faculty of Medical Sciences, University College London, London, UK.
  • Williams NR; Surgical and Interventional Trials Unit, Division of Surgery and Interventional Science, Faculty of Medical Sciences, University College London, London, UK.
  • Brew-Graves C; Surgical and Interventional Trials Unit, Division of Surgery and Interventional Science, Faculty of Medical Sciences, University College London, London, UK.
  • Freeman A; Department of Pathology, UCLH NHS Foundation Trust, London, UK.
  • Moore CM; Research Department of Urology, Division of Surgery and Interventional Science, Faculty of Medicine, University College London, London, UK; Department of Urology, UCLH NHS Foundation Trust, London, UK.
  • Barratt D; UCL Centre for Medical Image Computing, Department of Medical Physics & Biomedical Engineering, University College London, London, UK.
  • Emberton M; Research Department of Urology, Division of Surgery and Interventional Science, Faculty of Medicine, University College London, London, UK; Department of Urology, UCLH NHS Foundation Trust, London, UK.
  • Ahmed HU; Research Department of Urology, Division of Surgery and Interventional Science, Faculty of Medicine, University College London, London, UK; Department of Urology, UCLH NHS Foundation Trust, London, UK; Centre for Medical Imaging, Division of Medicine, Faculty of Medicine, University College London,
Eur Urol ; 75(5): 733-740, 2019 05.
Article em En | MEDLINE | ID: mdl-30527787
BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI)-targeted prostate biopsies can improve detection of clinically significant prostate cancer and decrease the overdetection of insignificant cancers. It is unknown whether visual-registration targeting is sufficient or augmentation with image-fusion software is needed. OBJECTIVE: To assess concordance between the two methods. DESIGN, SETTING, AND PARTICIPANTS: We conducted a blinded, within-person randomised, paired validating clinical trial. From 2014 to 2016, 141 men who had undergone a prior (positive or negative) transrectal ultrasound biopsy and had a discrete lesion on mpMRI (score 3-5) requiring targeted transperineal biopsy were enrolled at a UK academic hospital; 129 underwent both biopsy strategies and completed the study. INTERVENTION: The order of performing biopsies using visual registration and a computer-assisted MRI/ultrasound image-fusion system (SmartTarget) on each patient was randomised. The equipment was reset between biopsy strategies to mitigate incorporation bias. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The proportion of clinically significant prostate cancer (primary outcome: Gleason pattern ≥3+4=7, maximum cancer core length ≥4mm; secondary outcome: Gleason pattern ≥4+3=7, maximum cancer core length ≥6mm) detected by each method was compared using McNemar's test of paired proportions. RESULTS AND LIMITATIONS: The two strategies combined detected 93 clinically significant prostate cancers (72% of the cohort). Each strategy detected 80/93 (86%) of these cancers; each strategy identified 13 cases missed by the other. Three patients experienced adverse events related to biopsy (urinary retention, urinary tract infection, nausea, and vomiting). No difference in urinary symptoms, erectile function, or quality of life between baseline and follow-up (median 10.5 wk) was observed. The key limitations were lack of parallel-group randomisation and a limit on the number of targeted cores. CONCLUSIONS: Visual-registration and image-fusion targeting strategies combined had the highest detection rate for clinically significant cancers. Targeted prostate biopsy should be performed using both strategies together. PATIENT SUMMARY: We compared two prostate cancer biopsy strategies: visual registration and image fusion. A combination of the two strategies found the most clinically important cancers and should be used together whenever targeted biopsy is being performed.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Imageamento por Ressonância Magnética / Ultrassonografia / Imagem Multimodal / Biópsia Guiada por Imagem Tipo de estudo: Clinical_trials / Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans / Male / Middle aged Idioma: En Revista: Eur Urol Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Imageamento por Ressonância Magnética / Ultrassonografia / Imagem Multimodal / Biópsia Guiada por Imagem Tipo de estudo: Clinical_trials / Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans / Male / Middle aged Idioma: En Revista: Eur Urol Ano de publicação: 2019 Tipo de documento: Article