159 related articles for article (PubMed ID: 32543166)
1. Choline PET/CT features to predict survival outcome in high-risk prostate cancer restaging: a preliminary machine-learning radiomics study.
Alongi P; Laudicella R; Stefano A; Caobelli F; Comelli A; Vento A; Sardina D; Ganduscio G; Toia P; Ceci F; Mapelli P; Picchio M; Midiri M; Baldari S; Lagalla R; Russo G
Q J Nucl Med Mol Imaging; 2022 Dec; 66(4):352-360. PubMed ID: 32543166
[TBL] [Abstract][Full Text] [Related]
2. Radiomics analysis of 18F-Choline PET/CT in the prediction of disease outcome in high-risk prostate cancer: an explorative study on machine learning feature classification in 94 patients.
Alongi P; Stefano A; Comelli A; Laudicella R; Scalisi S; Arnone G; Barone S; Spada M; Purpura P; Bartolotta TV; Midiri M; Lagalla R; Russo G
Eur Radiol; 2021 Jul; 31(7):4595-4605. PubMed ID: 33443602
[TBL] [Abstract][Full Text] [Related]
3. More advantages in detecting bone and soft tissue metastases from prostate cancer using
Pianou NK; Stavrou PZ; Vlontzou E; Rondogianni P; Exarhos DN; Datseris IE
Hell J Nucl Med; 2019; 22(1):6-9. PubMed ID: 30843003
[TBL] [Abstract][Full Text] [Related]
4. Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts.
Grahovac M; Spielvogel CP; Krajnc D; Ecsedi B; Traub-Weidinger T; Rasul S; Kluge K; Zhao M; Li X; Hacker M; Haug A; Papp L
Eur J Nucl Med Mol Imaging; 2023 May; 50(6):1607-1620. PubMed ID: 36738311
[TBL] [Abstract][Full Text] [Related]
5. Dual time point imaging of staging PSMA PET/CT quantification; spread and radiomic analyses.
Aksu A; Vural Topuz Ö; Yılmaz G; Çapa Kaya G; Yılmaz B
Ann Nucl Med; 2022 Mar; 36(3):310-318. PubMed ID: 34988888
[TBL] [Abstract][Full Text] [Related]
6. Use of radiomics based on
Zhou Y; Ma XL; Zhang T; Wang J; Zhang T; Tian R
Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2904-2913. PubMed ID: 33547553
[TBL] [Abstract][Full Text] [Related]
7.
von Eyben FE; Picchio M; von Eyben R; Rhee H; Bauman G
Eur Urol Focus; 2018 Sep; 4(5):686-693. PubMed ID: 28753806
[TBL] [Abstract][Full Text] [Related]
8. Feasibility on the Use of Radiomics Features of 11[C]-MET PET/CT in Central Nervous System Tumours: Preliminary Results on Potential Grading Discrimination Using a Machine Learning Model.
Russo G; Stefano A; Alongi P; Comelli A; Catalfamo B; Mantarro C; Longo C; Altieri R; Certo F; Cosentino S; Sabini MG; Richiusa S; Barbagallo GMV; Ippolito M
Curr Oncol; 2021 Dec; 28(6):5318-5331. PubMed ID: 34940083
[TBL] [Abstract][Full Text] [Related]
9. Machine learning-based analysis of [
Cysouw MCF; Jansen BHE; van de Brug T; Oprea-Lager DE; Pfaehler E; de Vries BM; van Moorselaar RJA; Hoekstra OS; Vis AN; Boellaard R
Eur J Nucl Med Mol Imaging; 2021 Feb; 48(2):340-349. PubMed ID: 32737518
[TBL] [Abstract][Full Text] [Related]
10. Machine learning-based prediction of invisible intraprostatic prostate cancer lesions on
Yi Z; Hu S; Lin X; Zou Q; Zou M; Zhang Z; Xu L; Jiang N; Zhang Y
Eur J Nucl Med Mol Imaging; 2022 Apr; 49(5):1523-1534. PubMed ID: 34845536
[TBL] [Abstract][Full Text] [Related]
11. Utility of radiomic zones for risk classification and clinical outcome predictions using supervised machine learning during simultaneous
Tu SJ; Tran VT; Teo JM; Chong WC; Tseng JR
Med Phys; 2021 Sep; 48(9):5192-5201. PubMed ID: 34214211
[TBL] [Abstract][Full Text] [Related]
12. Comparison of [(11)C]Choline ([(11)C]CHO) and [(18)F]Bombesin (BAY 86-4367) as Imaging Probes for Prostate Cancer in a PC-3 Prostate Cancer Xenograft Model.
Schwarzenböck SM; Schmeja P; Kurth J; Souvatzoglou M; Nawroth R; Treiber U; Kundt G; Berndt S; Graham K; Senekowitsch-Schmidtke R; Schwaiger M; Ziegler SI; Dinkelborg L; Wester HJ; Krause BJ
Mol Imaging Biol; 2016 Jun; 18(3):393-401. PubMed ID: 26483088
[TBL] [Abstract][Full Text] [Related]
13. Is 11C-choline Positron Emission Tomography/Computed Tomography Accurate to Detect Nodal Relapses of Prostate Cancer After Biochemical Recurrence? A Multicentric Study Based on Pathologic Confirmation from Salvage Lymphadenectomy.
Oderda M; Joniau S; Palazzetti A; Falcone M; Melloni G; Van Den Bossche H; Deconinck S; Zattoni F; Karnes RJ; Gontero P
Eur Urol Focus; 2018 Mar; 4(2):288-293. PubMed ID: 30205893
[TBL] [Abstract][Full Text] [Related]
14. Preoperative prediction of regional lymph node metastasis of colorectal cancer based on
He J; Wang Q; Zhang Y; Wu H; Zhou Y; Zhao S
Ann Nucl Med; 2021 May; 35(5):617-627. PubMed ID: 33738763
[TBL] [Abstract][Full Text] [Related]
15. Comparing the Staging/Restaging Performance of 68Ga-Labeled Prostate-Specific Membrane Antigen and 18F-Choline PET/CT in Prostate Cancer: A Systematic Review and Meta-analysis.
Lin CY; Lee MT; Lin CL; Kao CH
Clin Nucl Med; 2019 May; 44(5):365-376. PubMed ID: 30888999
[TBL] [Abstract][Full Text] [Related]
16. [18F]FDG PET-TC radiomics and machine learning in the evaluation of prostate incidental uptake.
Nieri A; Manco L; Bauckneht M; Urso L; Caracciolo M; Donegani MI; Borgia F; Vega K; Colella A; Ippolito C; Cittanti C; Morbelli S; Sambuceti G; Turra A; Panareo S; Bartolomei M
Expert Rev Med Devices; 2023; 20(12):1183-1191. PubMed ID: 37942630
[TBL] [Abstract][Full Text] [Related]
17.
Li H; Xu C; Xin B; Zheng C; Zhao Y; Hao K; Wang Q; Wahl RL; Wang X; Zhou Y
Theranostics; 2019; 9(16):4730-4739. PubMed ID: 31367253
[No Abstract] [Full Text] [Related]
18. Radiomics based on
Ou X; Zhang J; Wang J; Pang F; Wang Y; Wei X; Ma X
Cancer Med; 2020 Jan; 9(2):496-506. PubMed ID: 31769230
[TBL] [Abstract][Full Text] [Related]
19. Comparison Between
Cantiello F; Crocerossa F; Russo GI; Gangemi V; Ferro M; Vartolomei MD; Lucarelli G; Mirabelli M; Scafuro C; Ucciero G; De Cobelli O; Morgia G; Damiano R; Cascini GL
Clin Genitourin Cancer; 2018 Oct; 16(5):385-391. PubMed ID: 29937067
[TBL] [Abstract][Full Text] [Related]
20. Role of
Jiménez Londoño GA; García Vicente AM; Amo-Salas M; Fúnez Mayorga F; López Guerrero MA; Talavera Rubio MP; Gutierrez Martin P; González García B; de la Torre Pérez JA; Soriano Castrejón ÁM
Rev Esp Med Nucl Imagen Mol; 2017; 36(4):241-246. PubMed ID: 28330596
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
