Avoiding Unnecessary Systematic Biopsy in Clinically Significant Prostate Cancer: Comparison Between MRI-Based Radiomics Model and PI-RADS Category

被引:7
作者
Cheng, Xueqing [1 ]
Chen, Yuntian [1 ]
Xu, Hui [1 ]
Ye, Lei [1 ]
Tong, Shun [2 ]
Li, Haixia [3 ]
Zhang, Tianjing [4 ]
Tian, Song [3 ]
Qi, Jin [2 ]
Zeng, Hao [5 ]
Yao, Jin [1 ]
Song, Bin [1 ,6 ]
机构
[1] Sichuan Univ, West China Hosp, Dept Radiol, Chengdu, Peoples R China
[2] Univ Elect Sci & Technol China, SICE, Chengdu, Peoples R China
[3] Philips Healthcare, Chengdu, Peoples R China
[4] NVIDIA, Healthcare Dept, Shanghai, Peoples R China
[5] Sichuan Univ, West China Hosp, Dept Urol, Chengdu, Peoples R China
[6] Sichuan Univ, West China Sanya Hosp, Sanya Peoples Hosp, Dept Radiol, Chengdu, Peoples R China
关键词
prostate cancer; MRI-targeted biopsy; systematic biopsy; radiomics; PI-RADS; TRANSITION; FEATURES;
D O I
10.1002/jmri.28333
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background MRI-targeted biopsy (MRTB) improves the clinically significant prostate cancer (csPCa) detection rate with fewer biopsy cores in men with suspected PCa. However, whether concurrent systematic biopsy (SB) can be avoided in patients undergoing MRTB remains unclear. Purpose To evaluate the potential value of MRI-based radiomics models in avoiding unnecessary SB in biopsy-naive patients. Study type Retrospective. Population A total of 226 patients (mean age 66.6 +/- 9.02 years) with suspicion of PCa (PI-RADS score >= 3) and received combined cognitive MRTB with SB were retrospectively recruited and randomly divided into training (N = 180) and test (N = 46) cohorts at an 8:2 ratio. Field Strength/Sequence A 3.0 T, biparametric MRI (bpMRI) including T2-weighted imaging (T2WI) and apparent diffusion coefficient (ADC) map. Assessment The whole prostate gland (PG) and the index lesion (IL) were delineated. Three radiomics models of bpMRI(PG), bpMRI(IL), and bpMRI(PG+IL) were constructed, respectively, and the performance of each radiomics model was compared with that of PI-RADS assessment. Statistical Tests The least absolute shrinkage and selection operator (LASSO) regression method was used to select texture features. The area under the curve (AUC) and decision curve analysis were used to estimate the models. Results The bpMRI(PG+IL) radiomics model exhibited good discrimination, calibration, and net benefits, which would reduce the SB biopsy in 71.2% and 71.4% of men with PI-RADS >= 5 lesions in the training and test cohorts, respectively. Data Conclusion A bpMRI(PG+IL) radiomics model may outperform PI-RADS category in help reducing unnecessary SB in biopsy-naive patients. Evidence Level 3 Technical Efficacy Stage 6
引用
收藏
页码:578 / 586
页数:9
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