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For: Ferro M, de Cobelli O, Vartolomei MD, Lucarelli G, Crocetto F, Barone B, Sciarra A, Del Giudice F, Muto M, Maggi M, Carrieri G, Busetto GM, Falagario U, Terracciano D, Cormio L, Musi G, Tataru OS. Prostate Cancer Radiogenomics-From Imaging to Molecular Characterization. Int J Mol Sci 2021;22:9971. [PMID: 34576134 DOI: 10.3390/ijms22189971] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Lee RS, Ma R, Pham S, Maya-Silva J, Nguyen J, Aron M, Cen SY, Daneshmand S, Hung AJ. Machine learning to delineate surgeon and clinical factors that anticipate positive surgical margins after robot-assisted radical prostatectomy. J Endourol 2022. [PMID: 35414218 DOI: 10.1089/end.2021.0890] [Reference Citation Analysis]
2 Fiz F, Jayakody Arachchige VS, Gionso M, Pecorella I, Selvam A, Wheeler DR, Sollini M, Viganò L. Radiomics of Biliary Tumors: A Systematic Review of Current Evidence. Diagnostics (Basel) 2022;12:826. [PMID: 35453878 DOI: 10.3390/diagnostics12040826] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Loizzo D, Pandolfo SD, Rogers D, Cerrato C, di Meo NA, Autorino R, Mirone V, Ferro M, Porta C, Stella A, Bizzoca C, Vincenti L, Spilotros M, Rutigliano M, Battaglia M, Ditonno P, Lucarelli G. Novel Insights into Autophagy and Prostate Cancer: A Comprehensive Review. Int J Mol Sci 2022;23:3826. [PMID: 35409187 DOI: 10.3390/ijms23073826] [Reference Citation Analysis]
4 Buszewska-Forajta M, Monedeiro F, Gołębiowski A, Adamczyk P, Buszewski B. Citric Acid as a Potential Prostate Cancer Biomarker Determined in Various Biological Samples. Metabolites 2022;12:268. [PMID: 35323711 DOI: 10.3390/metabo12030268] [Reference Citation Analysis]
5 Chui KT, Gupta BB, Chi HR, Arya V, Alhalabi W, Ruiz MT, Shen C. Transfer Learning-Based Multi-Scale Denoising Convolutional Neural Network for Prostate Cancer Detection. Cancers 2022;14:3687. [DOI: 10.3390/cancers14153687] [Reference Citation Analysis]
6 Morote J, Borque-Fernando A, Triquell M, Celma A, Regis L, Escobar M, Mast R, de Torres IM, Semidey ME, Abascal JM, Sola C, Servian P, Salvador D, Santamaría A, Planas J, Esteban LM, Trilla E. The Barcelona Predictive Model of Clinically Significant Prostate Cancer. Cancers (Basel) 2022;14:1589. [PMID: 35326740 DOI: 10.3390/cancers14061589] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
7 Xu L, Yang C, Zhang F, Cheng X, Wei Y, Fan S, Liu M, He X, Deng J, Xie T, Wang X, Liu M, Song B. Deep Learning Using CT Images to Grade Clear Cell Renal Cell Carcinoma: Development and Validation of a Prediction Model. Cancers (Basel) 2022;14:2574. [PMID: 35681555 DOI: 10.3390/cancers14112574] [Reference Citation Analysis]
8 Gurwin A, Kowalczyk K, Knecht-Gurwin K, Stelmach P, Nowak Ł, Krajewski W, Szydełko T, Małkiewicz B. Alternatives for MRI in Prostate Cancer Diagnostics-Review of Current Ultrasound-Based Techniques. Cancers (Basel) 2022;14:1859. [PMID: 35454767 DOI: 10.3390/cancers14081859] [Reference Citation Analysis]
9 Blomain ES, Moding EJ. Liquid Biopsies for Molecular Biology-Based Radiotherapy. Int J Mol Sci 2021;22:11267. [PMID: 34681925 DOI: 10.3390/ijms222011267] [Reference Citation Analysis]
10 Morrison G, Buckley J, Ostrow D, Varghese B, Cen SY, Werbin J, Ericson N, Cunha A, Lu YT, George T, Smith J, Quinn D, Duddalwar V, Triche T, Goldkorn A. Non-Invasive Profiling of Advanced Prostate Cancer via Multi-Parametric Liquid Biopsy and Radiomic Analysis. Int J Mol Sci 2022;23:2571. [PMID: 35269713 DOI: 10.3390/ijms23052571] [Reference Citation Analysis]
11 Jeong J, Chang K, Lee J, Choi J. A warning system for urolithiasis via retrograde intrarenal surgery using machine learning: an experimental study. BMC Urol 2022;22:80. [PMID: 35668401 DOI: 10.1186/s12894-022-01032-5] [Reference Citation Analysis]
12 Xie J, Jin C, Liu M, Sun K, Jin Z, Ding Z, Gong X. MRI/Transrectal Ultrasound Fusion-Guided Targeted Biopsy and Transrectal Ultrasound-Guided Systematic Biopsy for Diagnosis of Prostate Cancer: A Systematic Review and Meta-analysis. Front Oncol 2022;12:880336. [PMID: 35677152 DOI: 10.3389/fonc.2022.880336] [Reference Citation Analysis]
13 Li W, Wang B, Dong S, Xu C, Song Y, Qiao X, Xu X, Huang M, Yin C. A Novel Nomogram for Prediction and Evaluation of Lymphatic Metastasis in Patients With Renal Cell Carcinoma. Front Oncol 2022;12:851552. [DOI: 10.3389/fonc.2022.851552] [Reference Citation Analysis]
14 Yang L, Li Z, Liang X, Xu J, Cai Y, Huang C, Zhang M, Yao J, Song B. Radiomic Machine Learning and External Validation Based on 3.0 T mpMRI for Prediction of Intraductal Carcinoma of Prostate With Different Proportion. Front Oncol 2022;12:934291. [DOI: 10.3389/fonc.2022.934291] [Reference Citation Analysis]
15 Ferro M, de Cobelli O, Musi G, Del Giudice F, Carrieri G, Busetto GM, Falagario UG, Sciarra A, Maggi M, Crocetto F, Barone B, Caputo VF, Marchioni M, Lucarelli G, Imbimbo C, Mistretta FA, Luzzago S, Vartolomei MD, Cormio L, Autorino R, Tătaru OS. Radiomics in prostate cancer: an up-to-date review. Ther Adv Urol 2022;14:17562872221109020. [PMID: 35814914 DOI: 10.1177/17562872221109020] [Reference Citation Analysis]
16 Morote J, Borque-Fernando A, Triquell M, Celma A, Regis L, Mast R, de Torres IM, Semidey ME, Abascal JM, Servian P, Santamaría A, Planas J, Esteban LM, Trilla E. Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy. Cancers (Basel) 2022;14:2374. [PMID: 35625978 DOI: 10.3390/cancers14102374] [Reference Citation Analysis]
17 Castillo T JM, Arif M, Starmans MPA, Niessen WJ, Bangma CH, Schoots IG, Veenland JF. Classification of Clinically Significant Prostate Cancer on Multi-Parametric MRI: A Validation Study Comparing Deep Learning and Radiomics. Cancers (Basel) 2021;14:12. [PMID: 35008177 DOI: 10.3390/cancers14010012] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
18 Fan X, Xie N, Chen J, Li T, Cao R, Yu H, He M, Wang Z, Wang Y, Liu H, Wang H, Yin X. Multiparametric MRI and Machine Learning Based Radiomic Models for Preoperative Prediction of Multiple Biological Characteristics in Prostate Cancer. Front Oncol 2022;12:839621. [PMID: 35198452 DOI: 10.3389/fonc.2022.839621] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]