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EISSN 2980-1478

INDEXED IN WEB OF SCIENCE AND SCOPUS INDEXED IN PUBMED CENTRAL

Urology Research & Practice

50 218 2024

HIGHLY CITED ARTICLES

Artificial intelligence (AI) in urology-Current use and future directions: An iTRUE study

By: Shah et al.

What do urologists need to know: Diagnosis, treatment, and follow-up during COVID-19 pandemic

By: Ho et al.

Thulium fiber laser: The new kid on the block

By: Schembri et al.

Urine miR-21-5p and miR-200c-3p as potential non-invasive biomarkers in patients with prostate cancer

By: Danarto et al.

The role of fluid intake in the prevention of kidney stone disease: A systematic review over the last two decades

By: Gamage et al.

Platelet-to-lymphocyte ratio and systemic immune-inflammation index versus circulating prostate cells to predict significant prostate cancer at first biopsy

By: Murray et al.

Problems and solutions of stent biofilm and encrustations: A review of literatüre

By: Khoddami et al.

First case of retroperitoneal hematoma in COVID-19

By: Scialpi et al.

Holmium laser enucleation of the prostate for the treatment of size-independent BPH: A single-center experience of 600 cases

By: Yalçın et al.

Transperineal prostate biopsy: The modern gold standard to prostate cancer diagnosis

By: By: Ortner et al.

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Score 3 prostate lesions: a gray zone for PI-RADS v2

Michele Scialpi, Eugenio Martorana, Maria Cristina Aisa, Valeria Rondoni, Alfredo D'Andrea, Giampaolo Bianchi

(Urol Res Pract 2017; 43: 237-240) DOI: 10.5152/tud.2017.01058

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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

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

(Urol Res Pract 2022; 48: 268-277) DOI: 10.5152/tud.2022.22038

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