A scoring diagnostic system based on biparametric ultrasound features for prostate cancer risk assessment.
Quant Imaging Med Surg
; 13(6): 3703-3715, 2023 Jun 01.
Article
em En
| MEDLINE
| ID: mdl-37284097
ABSTRACT
Background:
Ultrasound has advantages in prostate cancer (PCa) detection and biopsy guidance but lacks a comprehensive quantitative evaluation model with multiparametric features. We aimed to construct a biparametric ultrasound (BU) scoring system for PCa risk assessment and to provide an option for clinically significant prostate cancer (csPCa) detection.Methods:
From January 2015 to December 2020, 392 consecutive patients at Chongqing University Cancer Hospital who underwent BU (grayscale, Doppler flow imaging, and contrast-enhanced ultrasound) and multiparametric magnetic resonance imaging (mpMRI) before biopsy were retrospectively enrolled in the training set to construct the scoring system. From January 2021 to May 2022, 166 consecutive patients at Chongqing University Cancer Hospital were retrospectively enrolled in the validation set. The ultrasound system was compared with mpMRI, and the gold standard was a biopsy. The primary outcome was the detection of csPCa in any area with a Gleason score (GS) ≥3+4, and the secondary outcome was defined as a GS ≥4+3 and/or maximum cancer core length (MCCL) ≥6 mm.Results:
Malignant association features in the nonenhanced biparametric ultrasound (NEBU) scoring system included echogenicity, capsule, and gland asymmetrical vascularity. In the biparametric ultrasound scoring system (BUS), the feature of contrast agent arrival time was added. In the training set, the area under the curves (AUCs) of the NEBU scoring system, BUS, and mpMRI were 0.86 [95% confidence interval (CI) 0.82-0.90], 0.86 (95% CI 0.82-0.90), and 0.86 (95% CI 0.83-0.90), respectively (P>0.05). Similar results were also observed in the validation set, in which the areas under the curves were 0.89 (95% CI 0.84-0.94), 0.90 (95% CI 0.85-0.95), and 0.88 (95% CI 0.82-0.94), respectively (P>0.05).Conclusions:
We constructed a BUS that showed efficacy and value for csPCa diagnosis as compared with mpMRI. However, in limited circumstances, the NEBU scoring system may also be an option.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Diagnostic_studies
/
Etiology_studies
/
Guideline
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Quant Imaging Med Surg
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
China