In:
Urologia Internationalis, S. Karger AG, Vol. 106, No. 1 ( 2022), p. 90-96
Abstract:
〈 b 〉 〈 i 〉 Introduction: 〈 /i 〉 〈 /b 〉 There is still a lack of availability of high-quality multiparametric magnetic resonance imaging (mpMRI) interpreted by experienced uro-radiologists to rule out clinically significant PC (csPC). Consequently, we developed a new imaging method based on computed tomographic ultrasound (US) supported by artificial neural network analysis (ANNA). 〈 b 〉 〈 i 〉 Methods: 〈 /i 〉 〈 /b 〉 Two hundred and two consecutive patients with visible mpMRI lesions were scanned and recorded by robotic CT-US during mpMRI-TRUS biopsy. Only significant index lesions (ISUP ≥2) verified by whole-mount pathology were retrospectively analyzed. Their visibility was reevaluated by 2 blinded investigators by grayscale US and ANNA. 〈 b 〉 〈 i 〉 Results: 〈 /i 〉 〈 /b 〉 In the cohort, csPC was detected in 105 cases (52%) by mpMRI-TRUS biopsy. Whole-mount histology was available in 44 cases (36%). In this subgroup, mean PSA level was 8.6 ng/mL, mean prostate volume was 33 cm 〈 sup 〉 3 〈 /sup 〉 , and mean tumor volume was 0.5 cm 〈 sup 〉 3 〈 /sup 〉 . Median PI-RADS and ISUP of index lesions were 4 and 3, respectively. Index lesions were visible in grayscale US and ANNA in 25 cases (57%) and 30 cases (68%), respectively. Combining CT-US-ANNA, we detected index lesions in 35 patients (80%). 〈 b 〉 〈 i 〉 Conclusions: 〈 /i 〉 〈 /b 〉 The first results of multiparametric CT-US-ANNA imaging showed promising detection rates in patients with csPC. US imaging with ANNA has the potential to complement PC diagnosis.
Type of Medium:
Online Resource
ISSN:
0042-1138
,
1423-0399
Language:
English
Publisher:
S. Karger AG
Publication Date:
2022
detail.hit.zdb_id:
1464417-4