A clinical prediction model based on 68Ga-PSMA-11 PET/CT and mpMRI parameters to determine the diagnostic accuracy of targeted biopsy alone in prostate cancer population
10.3969/j.issn.1009-8291.2024.03.004
- VernacularTitle:基于68Ga-PSMA-11 PET/CT和mpMRI构建临床模型预测前列腺单独靶向穿刺的准确性
- Author:
Chaoli AN
1
,
2
;
Xuefeng QIU
1
;
Feng WANG
3
;
Yao FU
4
;
Xiaozhi ZHAO
5
;
Hongqian GUO
1
Author Information
1. Department of Urology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing 210000
2. Department of Andrology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing 210000
3. Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing 210000
4. Department of Pathology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing 210000, China
5. Department of Andrology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing 210000
- Publication Type:Journal Article
- Keywords:
68Ga-PSMA-11 PET/CT;
SUVmax;
ADCmin;
targeted biopsy alone;
clinically significant prostate cancer;
mpMRI
- From:
Journal of Modern Urology
2024;29(3):212-218
- CountryChina
- Language:Chinese
-
Abstract:
【Objective】 To develop a clinical prediction model based on 68Ga-prostate-specific membrane antigen-11 (68Ga-PSMA-11), positron emission tomography/computed tomography (PET/CT) and multiparametric magnetic resonance imaging (mpMRI) parameters to stratify prostate cancer patients undergoing targeted biopsy, so as to avoid unnecessary systematic biopsy. 【Methods】 A total of 96 clinically significant prostate cancer (csPCa) patients who underwent 68Ga-PSMA-11 PET/CT and mpMRI prior to prostate targeted biopsy with systematic biopsy during Jan.2020 and Feb.2023 in Nanjing Drum Tower Hospital were retrospectively analyzed.By univariate and multivariate logistic regression analyses, maximum standard uptake value (SUVmax) in 68Ga-PSMA-11 PET/CT and minimum apparent diffusion coefficien (ADCmin) in mpMRI, as well as clinical parameters were evaluated to identify the independent predictors correlative with the effective diagnosis of targeted biopsy, and a clinical prediction model was constructed. 【Results】 Multivariate logistic regression analysis showed that SUVmax (OR=0.878, 95%CI: 0.804-0.959, P=0.004) and ADCmin (OR=1.005, 95%CI:1.001-1.010, P=0.027) were independent predictors of the effective diagnosis of targeted biopsy alone.The sensitivity, specificity, accuracy and area under the receiver operator characteristic curve (AUC) of the model were 0.80, 0.80, 0.83 and 0.84, respectively. 【Conclusion】 The clinical prediction model based on 68Ga-PSMA-11 PET/CT and mpMRI parameters is helpful to improve the effective diagnosis of targeted biopsy alone, and has practical value to stratify patients with csPCa so as to safely avoid systematic biopsy and effectively balance the benefits and risks.