Prostate cancer detection using multiparametric 3-tesla MRI and fusion biopsy: preliminary results

被引:5
作者
Mussi, Thais Caldara [1 ]
Garcia, Rodrigo Gobbo [2 ]
Gomes de Queiroz, Marcos Roberto [2 ]
Lemos, Gustavo Caserta [3 ]
Baroni, Ronaldo Hueb [1 ]
机构
[1] Hosp Israelita Albert Einstein, Dept Radiol & Diagnost Imagem, Av Albert Einstein 627, BR-05651901 Sao Paulo, SP, Brazil
[2] Hosp Israelita Albert Einstein, Dept Intervencao Guiada Imagem, Sao Paulo, SP, Brazil
[3] Hosp Israelita Albert Einstein, Dept Urol, Sao Paulo, SP, Brazil
来源
INTERNATIONAL BRAZ J UROL | 2016年 / 42卷 / 05期
关键词
Prostatic Neoplasms; Magnetic Resonance Imaging; Biopsy; Prostate; RESONANCE; ANTIGEN; LOCALIZATION;
D O I
10.1590/S1677-5538.IBJU.2015.0204
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Objective: To evaluate the diagnostic efficacy of transrectal ultrasonography (US) biopsy with imaging fusion using multiparametric (mp) magnetic resonance imaging (MRI) in patients with suspicion of prostate cancer (PCa), with an emphasis on clinically significant tumors according to histological criteria. Materials and Methods: A total of 189 consecutive US/MRI fusion biopsies were performed obtaining systematic and guided samples of suspicious areas on mpMRI using a 3 Tesla magnet without endorectal coil. Clinical significance for prostate cancer was established based on Epstein criteria. Results: In our casuistic, the average Gleason score was 7 and the average PSA was 5.0ng/mL. Of the 189 patients that received US/MRI biopsies, 110 (58.2%) were positive for PCa. Of those cases, 88 (80%)were clinically significant, accounting for 46.6% of all patients. We divided the MRI findings into 5 Likert scales of probability of having clinically significant PCa. The positivity of US/MRI biopsy for clinically significant PCa was 0%, 17.6% 23.5%, 53.4% and 84.4% for Likert scores 1, 2, 3, 4 and 5, respectively. There was a statistically significant difference in terms of biopsy results between different levels of suspicion on mpMRI and also when biopsy results were divided into groups of clinically non-significant versus clinically significant between different levels of suspicion on mpMRI (p-value <0.05 in both analyzes). Conclusion: We found that there is a significant difference in cancer detection using US/MRI fusion biopsy between low-probability and intermediate/high probability Likert scores using mpMRI.
引用
收藏
页码:897 / 905
页数:9
相关论文
共 50 条
  • [41] Detection and staging of radio-recurrent prostate cancer using multiparametric MRI
    Kowa, Jie-Ying
    Soneji, Neil
    Sohaib, S. Aslam
    Mayer, Erik
    Hazell, Stephen
    Butterfield, Nicholas
    Shur, Joshua
    Dafydd, Derfel A. P.
    BRITISH JOURNAL OF RADIOLOGY, 2021, 94 (1120)
  • [42] 3-Tesla MRI in patients with fully implanted deep brain stimulation devices: a preliminary study in 10 patients
    Sammartino, Francesco
    Krishna, Vibhor
    Sankar, Tejas
    Fisico, Jason
    Kalia, Suneil K.
    Hodaie, Mojgan
    Kucharczyk, Walter
    Mikulis, David J.
    Crawley, Adrian
    Lozano, Andres M.
    JOURNAL OF NEUROSURGERY, 2017, 127 (04) : 892 - 898
  • [43] Detectability of prostate cancer in different parts of the gland with 3-Tesla multiparametric magnetic resonance imaging: correlation with whole-mount histopathology
    Ito, Katsuhiro
    Furuta, Akihiro
    Kido, Akira
    Teramoto, Yuki
    Akamatsu, Shusuke
    Terada, Naoki
    Yamasaki, Toshinari
    Inoue, Takahiro
    Ogawa, Osamu
    Kobayashi, Takashi
    INTERNATIONAL JOURNAL OF CLINICAL ONCOLOGY, 2020, 25 (04) : 732 - 740
  • [44] Improving Detection of Clinically Significant Prostate Cancer: Magnetic Resonance Imaging/Transrectal Ultrasound Fusion Guided Prostate Biopsy
    Rastinehad, Ardeshir R.
    Turkbey, Baris
    Salami, Simpa S.
    Yaskiv, Oksana
    George, Arvin K.
    Fakhoury, Mathew
    Beecher, Karin
    Vira, Manish A.
    Kavoussi, Louis R.
    Siegel, David N.
    Villani, Robert
    Ben-Levi, Eran
    JOURNAL OF UROLOGY, 2014, 191 (06) : 1749 - 1754
  • [45] Detectability of prostate cancer in different parts of the gland with 3-Tesla multiparametric magnetic resonance imaging: correlation with whole-mount histopathology
    Katsuhiro Ito
    Akihiro Furuta
    Akira Kido
    Yuki Teramoto
    Shusuke Akamatsu
    Naoki Terada
    Toshinari Yamasaki
    Takahiro Inoue
    Osamu Ogawa
    Takashi Kobayashi
    International Journal of Clinical Oncology, 2020, 25 : 732 - 740
  • [46] Targeted Biopsy in the Detection of Prostate Cancer Using an Office Based Magnetic Resonance Ultrasound Fusion Device
    Wood, Bradford J.
    Choyke, Peter
    Turkbey, Baris
    Pinto, Peter
    JOURNAL OF UROLOGY, 2013, 189 (01) : 92 - 92
  • [47] Pre-surgical Multiparametric Assessment of Breast Lesions Using 3-Tesla Magnetic Resonance
    Mirka, Hynek
    Tupy, Radek
    Narsanska, Andrea
    Hes, Ondrej
    Ferda, Jiri
    ANTICANCER RESEARCH, 2017, 37 (12) : 6965 - 6970
  • [48] BIOPSY-GUIDED LEARNING WITH DEEP CONVOLUTIONAL NEURAL NETWORKS FOR PROSTATE CANCER DETECTION ON MULTIPARAMETRIC MRI
    Tsehay, Yohannes
    Lay, Nathan
    Wang, Xiaosong
    Kwak, Jin Tae
    Turkbey, Baris
    Choyke, Peter
    Pinto, Peter
    Wood, Brad
    Summers, Ronald M.
    2017 IEEE 14TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2017), 2017, : 642 - 645
  • [49] The added value of systematic biopsy in men with suspicion of prostate cancer undergoing multiparametric MRI-targeted biopsy
    Mannaerts, Christophe K.
    Kajtazovic, Mir
    Lodeizen, Olivia A. P.
    Gayet, Maudy
    Engelbrecht, Marc R. W.
    Jager, Gerrit J.
    Wijkstra, Hessel
    de Reijke, Theo M.
    Beerlage, Harrie P.
    UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS, 2019, 37 (05) : 298.e1 - 298.e9
  • [50] Multiparametric 3T MRI in the evaluation of intraglandular prostate cancer: Correlation with histopathology
    Styles, Colin
    Ferris, Nicholas
    Mitchell, Catherine
    Murphy, Declan
    Frydenberg, Mark
    Mills, John
    Pedersen, John
    Bergen, Noelene
    Duchesne, Gillian
    JOURNAL OF MEDICAL IMAGING AND RADIATION ONCOLOGY, 2014, 58 (04) : 439 - 448