238 related articles for article (PubMed ID: 30220139)
1. [Developing a Chinese PI-RADS v2-based nomogram for predicting clinically significant prostate cancer in patients with a prior negative biopsy].
Huang C; Song G; Wang H; Ji GJ; Chen YK; He Q; Zhou LQ
Zhonghua Yi Xue Za Zhi; 2018 Aug; 98(32):2559-2563. PubMed ID: 30220139
[No Abstract] [Full Text] [Related]
2. MultiParametric Magnetic Resonance Imaging-Based Nomogram for Predicting Prostate Cancer and Clinically Significant Prostate Cancer in Men Undergoing Repeat Prostate Biopsy.
Huang C; Song G; Wang H; Ji G; Li J; Chen Y; Fan Y; Fang D; Xiong G; Xin Z; Zhou L
Biomed Res Int; 2018; 2018():6368309. PubMed ID: 30276213
[TBL] [Abstract][Full Text] [Related]
3. [Development of a Chinese nomogram based on muti-parametric magnetic resonance for predicting the probability of prostate cancer in patients after initial negative biopsy].
Huang C; Ji GJ; Song G; Wang H; Chen YK; Zhou LQ
Zhonghua Yi Xue Za Zhi; 2018 Jan; 98(2):132-135. PubMed ID: 29343039
[No Abstract] [Full Text] [Related]
4. Development of a nomogram combining multiparametric magnetic resonance imaging and PSA-related parameters to enhance the detection of clinically significant cancer across different region.
Zhou Z; Liang Z; Zuo Y; Zhou Y; Yan W; Wu X; Ji Z; Li H; Hu M; Ma L
Prostate; 2022 Apr; 82(5):556-565. PubMed ID: 35098557
[TBL] [Abstract][Full Text] [Related]
5. Combination of prostate imaging reporting and data system (PI-RADS) score and prostate-specific antigen (PSA) density predicts biopsy outcome in prostate biopsy naïve patients.
Washino S; Okochi T; Saito K; Konishi T; Hirai M; Kobayashi Y; Miyagawa T
BJU Int; 2017 Feb; 119(2):225-233. PubMed ID: 26935594
[TBL] [Abstract][Full Text] [Related]
6. Combined Clinical Parameters and Multiparametric Magnetic Resonance Imaging for Advanced Risk Modeling of Prostate Cancer-Patient-tailored Risk Stratification Can Reduce Unnecessary Biopsies.
Radtke JP; Wiesenfarth M; Kesch C; Freitag MT; Alt CD; Celik K; Distler F; Roth W; Wieczorek K; Stock C; Duensing S; Roethke MC; Teber D; Schlemmer HP; Hohenfellner M; Bonekamp D; Hadaschik BA
Eur Urol; 2017 Dec; 72(6):888-896. PubMed ID: 28400169
[TBL] [Abstract][Full Text] [Related]
7. Multi-institutional nomogram predicting benign prostate pathology on magnetic resonance/ultrasound fusion biopsy in men with a prior negative 12-core systematic biopsy.
Truong M; Wang B; Gordetsky JB; Nix JW; Frye TP; Messing EM; Thomas JV; Feng C; Rais-Bahrami S
Cancer; 2018 Jan; 124(2):278-285. PubMed ID: 28976544
[TBL] [Abstract][Full Text] [Related]
8. How to make clinical decisions to avoid unnecessary prostate screening in biopsy-naïve men with PI-RADs v2 score ≤ 3?
Zhang Y; Zeng N; Zhang F; Huang Y; Tian Y
Int J Clin Oncol; 2020 Jan; 25(1):175-186. PubMed ID: 31473884
[TBL] [Abstract][Full Text] [Related]
9. The combination of prostate imaging reporting and data system version 2 (PI-RADS v2) and periprostatic fat thickness on multi-parametric MRI to predict the presence of prostate cancer.
Cao Y; Cao M; Chen Y; Yu W; Fan Y; Liu Q; Gao G; Zhao Z; Wang X; Jin J
Oncotarget; 2017 Jul; 8(27):44040-44049. PubMed ID: 28476042
[TBL] [Abstract][Full Text] [Related]
10. Development and external validation of a novel nomogram to predict prostate cancer in biopsy-naïve patients with PSA <10 ng/ml and PI-RADS v2.1 = 3 lesions.
Hu C; Sun J; Xu Z; Zhang Z; Zhou Q; Xu J; Chen H; Wang C; Ouyang J
Cancer Med; 2023 Feb; 12(3):2560-2571. PubMed ID: 35920264
[TBL] [Abstract][Full Text] [Related]
11. Developing a nomogram based on multiparametric magnetic resonance imaging for forecasting high-grade prostate cancer to reduce unnecessary biopsies within the prostate-specific antigen gray zone.
Niu XK; Li J; Das SK; Xiong Y; Yang CB; Peng T
BMC Med Imaging; 2017 Feb; 17(1):11. PubMed ID: 28143433
[TBL] [Abstract][Full Text] [Related]
12. Can Prostate Imaging Reporting and Data System Version 2 reduce unnecessary prostate biopsies in men with PSA levels of 4-10 ng/ml?
Xu N; Wu YP; Chen DN; Ke ZB; Cai H; Wei Y; Zheng QS; Huang JB; Li XD; Xue XY
J Cancer Res Clin Oncol; 2018 May; 144(5):987-995. PubMed ID: 29504080
[TBL] [Abstract][Full Text] [Related]
13. Predicting Benign Prostate Pathology on Magnetic Resonance Imaging/Ultrasound Fusion Biopsy in Men with a Prior Negative 12-core Systematic Biopsy: External Validation of a Prognostic Nomogram.
Bjurlin MA; Renson A; Rais-Bahrami S; Truong M; Rosenkrantz AB; Huang R; Taneja SS
Eur Urol Focus; 2019 Sep; 5(5):815-822. PubMed ID: 29802053
[TBL] [Abstract][Full Text] [Related]
14. A magnetic resonance imaging-based nomogram for predicting clinically significant prostate cancer at radical prostatectomy.
Castellani D; Cecchini S; Mazzucchelli R; Soraci L; Di Rosa M; Fabbietti P; Palagonia E; Puccio F; Carnevali F; Paci E; Montironi R; Galosi AB
Urol Oncol; 2022 Aug; 40(8):379.e1-379.e8. PubMed ID: 35662497
[TBL] [Abstract][Full Text] [Related]
15. Combining Prostate Health Index density, magnetic resonance imaging and prior negative biopsy status to improve the detection of clinically significant prostate cancer.
Druskin SC; Tosoian JJ; Young A; Collica S; Srivastava A; Ghabili K; Macura KJ; Carter HB; Partin AW; Sokoll LJ; Ross AE; Pavlovich CP
BJU Int; 2018 Apr; 121(4):619-626. PubMed ID: 29232037
[TBL] [Abstract][Full Text] [Related]
16. The potential of a nomogram combined PI-RADS v2.1 and contrast-enhanced ultrasound (CEUS) to reduce unnecessary biopsies in prostate cancer diagnostics.
Liu Y; Wang S; Xiang LH; Xu G; Dong L; Sun Y; Ye B; Zhang Y; Xu H
Br J Radiol; 2022 Sep; 95(1138):20220209. PubMed ID: 35877385
[TBL] [Abstract][Full Text] [Related]
17. Could Magnetic Resonance Imaging Help to Identify the Presence of Prostate Cancer Before Initial Biopsy? The Development of Nomogram Predicting the Outcomes of Prostate Biopsy in the Chinese Population.
Fang D; Zhao C; Ren D; Yu W; Wang R; Wang H; Li X; Yin W; Yu X; Yang K; Liu P; Shan G; Li S; He Q; Wang X; Xin Z; Zhou L
Ann Surg Oncol; 2016 Dec; 23(13):4284-4292. PubMed ID: 27464612
[TBL] [Abstract][Full Text] [Related]
18. A 4K score/MRI-based nomogram for predicting prostate cancer, clinically significant prostate cancer, and unfavorable prostate cancer.
Wagaskar VG; Sobotka S; Ratnani P; Young J; Lantz A; Parekh S; Falagario UG; Li L; Lewis S; Haines K; Punnen S; Wiklund P; Tewari A
Cancer Rep (Hoboken); 2021 Aug; 4(4):e1357. PubMed ID: 33661541
[TBL] [Abstract][Full Text] [Related]
19. [Preliminary applicability evaluation of Prostate Imaging Reporting and Data System version 2 diagnostic score in 3.0T multi-parameters magnetic resonance imaging combined with prostate specific antigen density for prostate cancer].
Zuo MZ; Zhao WL; Wei CG; Zhang CY; Wen R; Gu YF; Li MJ; Zhang YY; Wu JF; Li X; Shen JK
Zhonghua Yi Xue Za Zhi; 2017 Dec; 97(47):3693-3698. PubMed ID: 29325321
[No Abstract] [Full Text] [Related]
20. Exploration of the diagnostic capacity of PSAMR combined with PI-RADS scoring for clinically significant prostate cancer and establishment and validation of the Nomogram prediction model.
Li D; Zhang L; Xu Y; Wu X; Hua S; Jiang Y; Huang Q; Gao Y
J Cancer Res Clin Oncol; 2023 Oct; 149(13):11309-11317. PubMed ID: 37365430
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]