174 related articles for article (PubMed ID: 37438820)
21. Construction and Validation of a Clinical Predictive Nomogram for Improving the Cancer Detection of Prostate Naive Biopsy Based on Chinese Multicenter Clinical Data.
Tao T; Wang C; Liu W; Yuan L; Ge Q; Zhang L; He B; Wang L; Wang L; Xiang C; Wang H; Chen S; Xiao J
Front Oncol; 2021; 11():811866. PubMed ID: 35127526
[TBL] [Abstract][Full Text] [Related]
22. Development and validation of a multi-parameter nomogram for predicting prostate cancer: a retrospective analysis from Handan Central Hospital in China.
Nan L; Guo K; Li M; Wu Q; Huo S
PeerJ; 2022; 10():e12912. PubMed ID: 35256916
[TBL] [Abstract][Full Text] [Related]
23. Nomogram based on circulating lymphocyte subsets for predicting radiation pneumonia in esophageal squamous cell carcinoma.
Zhang XZ; Tao SP; Liang SX; Chen SB; Liu FS; Jiang W; Chen MJ
Front Immunol; 2022; 13():938795. PubMed ID: 36105795
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. Multiparametric MRI-based nomograms in predicting positive surgical margins of prostate cancer after laparoscopic radical prostatectomy.
Meng S; Chen L; Zhang Q; Wang N; Liu A
Front Oncol; 2022; 12():973285. PubMed ID: 36172161
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Ultrasound-based radiomics score for pre-biopsy prediction of prostate cancer to reduce unnecessary biopsies.
Ou W; Lei J; Li M; Zhang X; Liang R; Long L; Wang C; Chen L; Chen J; Zhang J; Wang Z
Prostate; 2023 Jan; 83(1):109-118. PubMed ID: 36207777
[TBL] [Abstract][Full Text] [Related]
28. Development and internal validation of a novel nomogram for predicting lymph node invasion for prostate cancer patients undergoing extended pelvic lymph node dissection.
Li Z; Huang Y; Zhao D; Luo X; Wu Z; Zheng X; Xie Y; Liu Y; Wu J; Peng Y; Li Y; Zhou F
Front Oncol; 2023; 13():1186319. PubMed ID: 37223684
[TBL] [Abstract][Full Text] [Related]
29. Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database.
Lee C; Light A; Alaa A; Thurtle D; van der Schaar M; Gnanapragasam VJ
Lancet Digit Health; 2021 Mar; 3(3):e158-e165. PubMed ID: 33549512
[TBL] [Abstract][Full Text] [Related]
30. Development and validation of a nomogram to estimate the risk of prostate cancer in Brazil.
Silva TB; Oliveira CZ; Faria EF; Mauad EC; Syrjänen KJ; Carvalho AL
Anticancer Res; 2015 May; 35(5):2881-6. PubMed ID: 25964571
[TBL] [Abstract][Full Text] [Related]
31. Incorporation of trans-rectal color doppler flow imaging and risk-stratification nomogram reduce unnecessary prostate biopsies in suspected prostate cancer patients: a bi-centered retrospective validation study.
Guo Y; Su K; Lu M; Liu X
BMC Urol; 2023 May; 23(1):81. PubMed ID: 37138271
[TBL] [Abstract][Full Text] [Related]
32. A transfer learning nomogram for predicting prostate cancer and benign conditions on MRI.
Chen J; Feng B; Hu M; Huang F; Chen Y; Ma X; Long W
BMC Med Imaging; 2023 Nov; 23(1):200. PubMed ID: 38036991
[TBL] [Abstract][Full Text] [Related]
33. Development and validation of a clinicoradiomic nomogram to assess the HER2 status of patients with invasive ductal carcinoma.
Xu A; Chu X; Zhang S; Zheng J; Shi D; Lv S; Li F; Weng X
BMC Cancer; 2022 Aug; 22(1):872. PubMed ID: 35945526
[TBL] [Abstract][Full Text] [Related]
34. Deep learning-based radiomic nomograms for predicting Ki67 expression in prostate cancer.
Deng S; Ding J; Wang H; Mao G; Sun J; Hu J; Zhu X; Cheng Y; Ni G; Ao W
BMC Cancer; 2023 Jul; 23(1):638. PubMed ID: 37422624
[TBL] [Abstract][Full Text] [Related]
35. Are prostate biopsies necessary for all patients 75years and older?
Chen Y; Fan Y; Yang Y; Jin J; Zhou L; He Z; Zhao Z; He Q; Wang X; Yu W; Wu S
J Geriatr Oncol; 2018 Mar; 9(2):124-129. PubMed ID: 28939384
[TBL] [Abstract][Full Text] [Related]
36. Nomogram for predicting the overall survival of patients with early-onset prostate cancer: A population-based retrospective study.
Hu Y; Qi Q; Zheng Y; Wang H; Zhou J; Hao Z; Meng J; Liang C
Cancer Med; 2022 Sep; 11(17):3260-3271. PubMed ID: 35322943
[TBL] [Abstract][Full Text] [Related]
37. Diagnostic performance of prediction models for extraprostatic extension in prostate cancer: a systematic review and meta-analysis.
Zhu M; Gao J; Han F; Yin L; Zhang L; Yang Y; Zhang J
Insights Imaging; 2023 Aug; 14(1):140. PubMed ID: 37606802
[TBL] [Abstract][Full Text] [Related]
38. Radiomics nomogram for predicting the malignant potential of gastrointestinal stromal tumours preoperatively.
Chen T; Ning Z; Xu L; Feng X; Han S; Roth HR; Xiong W; Zhao X; Hu Y; Liu H; Yu J; Zhang Y; Li Y; Xu Y; Mori K; Li G
Eur Radiol; 2019 Mar; 29(3):1074-1082. PubMed ID: 30116959
[TBL] [Abstract][Full Text] [Related]
39. Development and external validation of a prostate health index-based nomogram for predicting prostate cancer.
Zhu Y; Han CT; Zhang GM; Liu F; Ding Q; Xu JF; Vidal AC; Freedland SJ; Ng CF; Ye DW
Sci Rep; 2015 Oct; 5():15341. PubMed ID: 26471350
[TBL] [Abstract][Full Text] [Related]
40. The predictive value of machine learning and nomograms for lymph node metastasis of prostate cancer: a systematic review and meta-analysis.
Wang H; Xia Z; Xu Y; Sun J; Wu J
Prostate Cancer Prostatic Dis; 2023 Sep; 26(3):602-613. PubMed ID: 37488275
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
