Lesion Volume in a Bi- or Multivariate Prediction Model for the Management of PI-RADS v2.1 Score 3 Category Lesions-Reference-Cited by-同舟云学术

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Lesion Volume in a Bi- or Multivariate Prediction Model for the Management of PI-RADS v2.1 Score 3 Category Lesions

Published:2022-07-28 Issue:4 Volume:48 Page:268-277
ISSN:
Container-title:Türk Üroloji Dergisi/Turkish Journal of Urology
language:
Short-container-title:Turkish Journal of Urology

Author:

Martorana Eugenio, ,Aisa Maria Cristina,Grisanti Riccardo,Santini3 Nicola,Pirola Giacomo Maria,Datti Alessandro,Gerli Sandro,Bonora Alessandra,Burani Aldo,Scalera Giovanni Battista,Scialpi Pietro,Di Blasi Aldo,Scialpi Michele, , , , , , , , , , , ,

Publisher

AVES Publishing Co.

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Effects of the lesion size on clinically significant prostate cancer detection rates in PI-RADS category 3-5 lesions;Actas Urológicas Españolas (English Edition);2024-09

2. Impacto del tamaño de la lesión en las tasas de detección del cáncer de próstata clínicamente significativo en lesiones PI-RADS 3-5;Actas Urológicas Españolas;2024-09

3. Update on PI-RADS Version 2.1 Diagnostic Performance Benchmarks for Prostate MRI: Systematic Review and Meta-Analysis;Radiology;2024-08-01

4. Clinical and Radiological Factors for Predicting Clinically Significant Prostate Cancer in Biopsy-Naive Patients With PI-RADS 3 Lesions;Technology in Cancer Research & Treatment;2024-01

5. Contemporary Approach to Prostate Imaging and Data Reporting System Score 3 Lesions;Radiologic Clinics of North America;2024-01

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