229 related articles for article (PubMed ID: 33738255)
1. A Nomogram Based on a Multiparametric Ultrasound Radiomics Model for Discrimination Between Malignant and Benign Prostate Lesions.
Liang L; Zhi X; Sun Y; Li H; Wang J; Xu J; Guo J
Front Oncol; 2021; 11():610785. PubMed ID: 33738255
[TBL] [Abstract][Full Text] [Related]
2. Automated multiparametric localization of prostate cancer based on B-mode, shear-wave elastography, and contrast-enhanced ultrasound radiomics.
Wildeboer RR; Mannaerts CK; van Sloun RJG; Budäus L; Tilki D; Wijkstra H; Salomon G; Mischi M
Eur Radiol; 2020 Feb; 30(2):806-815. PubMed ID: 31602512
[TBL] [Abstract][Full Text] [Related]
3. Machine learning based on radiomics features combing B-mode transrectal ultrasound and contrast-enhanced ultrasound to improve peripheral zone prostate cancer detection.
Sun Y; Fang J; Shi Y; Li H; Wang J; Xu J; Zhang B; Liang L
Abdom Radiol (NY); 2024 Jan; 49(1):141-150. PubMed ID: 37796326
[TBL] [Abstract][Full Text] [Related]
4. Texture analysis based on PI-RADS 4/5-scored magnetic resonance images combined with machine learning to distinguish benign lesions from prostate cancer.
Ma L; Zhou Q; Yin H; Ang X; Li Y; Xie G; Li G
Transl Cancer Res; 2022 May; 11(5):1146-1161. PubMed ID: 35706813
[TBL] [Abstract][Full Text] [Related]
5. Radiomics prediction model for the improved diagnosis of clinically significant prostate cancer on biparametric MRI.
Li M; Chen T; Zhao W; Wei C; Li X; Duan S; Ji L; Lu Z; Shen J
Quant Imaging Med Surg; 2020 Feb; 10(2):368-379. PubMed ID: 32190563
[TBL] [Abstract][Full Text] [Related]
6. MRI-Based Radiomics Nomogram for Predicting Prostate Cancer with Gray-Zone Prostate-Specific Antigen Levels to Reduce Unnecessary Biopsies.
Zhang L; Zhang J; Tang M; Lei XY; Li LC
Diagnostics (Basel); 2022 Dec; 12(12):. PubMed ID: 36553012
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Predicting Model of Biochemical Recurrence of Prostate Carcinoma (PCa-BCR) Using MR Perfusion-Weighted Imaging-Based Radiomics.
An P; Lin Y; Hu Y; Qin P; Ye Y; Gu W; Li X; Song P; Feng G
Technol Cancer Res Treat; 2023; 22():15330338231166766. PubMed ID: 37016971
[TBL] [Abstract][Full Text] [Related]
9. Radiomics Based on MRI as a Biomarker to Guide Therapy by Predicting Upgrading of Prostate Cancer From Biopsy to Radical Prostatectomy.
Zhang GM; Han YQ; Wei JW; Qi YF; Gu DS; Lei J; Yan WG; Xiao Y; Xue HD; Feng F; Sun H; Jin ZY; Tian J
J Magn Reson Imaging; 2020 Oct; 52(4):1239-1248. PubMed ID: 32181985
[TBL] [Abstract][Full Text] [Related]
10. Nomogram Based on Shear-Wave Elastography Radiomics Can Improve Preoperative Cervical Lymph Node Staging for Papillary Thyroid Carcinoma.
Jiang M; Li C; Tang S; Lv W; Yi A; Wang B; Yu S; Cui X; Dietrich CF
Thyroid; 2020 Jun; 30(6):885-897. PubMed ID: 32027225
[No Abstract] [Full Text] [Related]
11. Bi-parametric magnetic resonance imaging based radiomics for the identification of benign and malignant prostate lesions: cross-vendor validation.
Ji X; Zhang J; Shi W; He D; Bao J; Wei X; Huang Y; Liu Y; Chen JC; Gao X; Tang Y; Xia W
Phys Eng Sci Med; 2021 Sep; 44(3):745-754. PubMed ID: 34075559
[TBL] [Abstract][Full Text] [Related]
12. Different multiparametric MRI-based radiomics models for differentiating stage IA endometrial cancer from benign endometrial lesions: A multicenter study.
Bi Q; Wang Y; Deng Y; Liu Y; Pan Y; Song Y; Wu Y; Wu K
Front Oncol; 2022; 12():939930. PubMed ID: 35992858
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Automatic Breast Volume Scanner and B-Ultrasound-Based Radiomics Nomogram for Clinician Management of BI-RADS 4A Lesions.
Ma Q; Wang J; Xu D; Zhu C; Qin J; Wu Y; Gao Y; Zhang C
Acad Radiol; 2023 Aug; 30(8):1628-1637. PubMed ID: 36456445
[TBL] [Abstract][Full Text] [Related]
15. A Radiomics nomogram for predicting bone metastasis in newly diagnosed prostate cancer patients.
Zhang W; Mao N; Wang Y; Xie H; Duan S; Zhang X; Wang B
Eur J Radiol; 2020 Jul; 128():109020. PubMed ID: 32371181
[TBL] [Abstract][Full Text] [Related]
16. Prostate Cancer Differentiation and Aggressiveness: Assessment With a Radiomic-Based Model vs. PI-RADS v2.
Chen T; Li M; Gu Y; Zhang Y; Yang S; Wei C; Wu J; Li X; Zhao W; Shen J
J Magn Reson Imaging; 2019 Mar; 49(3):875-884. PubMed ID: 30230108
[TBL] [Abstract][Full Text] [Related]
17. Multiparametric MRI for Prostate Cancer Characterization: Combined Use of Radiomics Model with PI-RADS and Clinical Parameters.
Woźnicki P; Westhoff N; Huber T; Riffel P; Froelich MF; Gresser E; von Hardenberg J; Mühlberg A; Michel MS; Schoenberg SO; Nörenberg D
Cancers (Basel); 2020 Jul; 12(7):. PubMed ID: 32630787
[TBL] [Abstract][Full Text] [Related]
18. Multiparametric MRI in detection and staging of prostate cancer.
Boesen L
Dan Med J; 2017 Feb; 64(2):. PubMed ID: 28157066
[TBL] [Abstract][Full Text] [Related]
19. Value of a combined magnetic resonance imaging-based radiomics-clinical model for predicting extracapsular extension in prostate cancer: a preliminary study.
Yang L; Jin P; Qian J; Qiao X; Bao J; Wang X
Transl Cancer Res; 2023 Jul; 12(7):1787-1801. PubMed ID: 37588741
[TBL] [Abstract][Full Text] [Related]
20. A Nomogram Based on a TRUS Five-Grade Scoring System for the Prediction of Prostate Cancer and High Grade Prostate Cancer at Initial TRUS-Guided Biopsy.
Xie SW; Wang YQ; Dong BJ; Xia JG; Li HL; Zhang SJ; Li FH; Xue W
J Cancer; 2018; 9(23):4382-4390. PubMed ID: 30519343
[No Abstract] [Full Text] [Related]
[Next] [New Search]
