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valeria.panebianco@uniroma1.it
Valeria Panebianco
Professore Ordinario
Struttura:
DIPARTIMENTO DI SCIENZE RADIOLOGICHE, ONCOLOGICHE E ANATOMO-PATOLOGICHE
E-mail:
valeria.panebianco@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Vesical Imaging-Reporting and Data System (VI-RADS) incorporated into bladder cancer clinical practice: what’s the perspectives beyond diagnostic accuracy?
TRANSLATIONAL ANDROLOGY AND UROLOGY
2020
Chest CT score in COVID-19 patients: correlation with disease severity and short-term prognosis
EUROPEAN RADIOLOGY
2020
Systematic review and meta-analysis of vesical imaging-reporting and data system (Vi-rads) inter-observer reliability: an added value for muscle invasive bladder cancer detection
CANCERS
2020
Corrigendum to 'Diagnostic Performance of Vesical Imaging Reporting and Data System for the Prediction of Muscle-invasive Bladder Cancer: A Systematic Review and Meta-analysis' [European Urology Oncology 3 (2020) 306-315
EUROPEAN UROLOGY ONCOLOGY
2020
Did we turn a blind eye? The answer is simply there. Peripheral pulmonary vascular thrombosis in COVID-19 patients explains sudden worsening of clinical conditions
IMAGING
2020
T staging and target volume definition by imaging in gu tumors
Imaging and Interventional Radiology for Radiation Oncology
2020
Multiparametric MRI of the bladder: inter-observer agreement and accuracy with the Vesical Imaging-Reporting and Data System (VI-RADS) at a single reference center
EUROPEAN RADIOLOGY
2019
Postmortem computed tomography angiography (PMCTA) and traditional autopsy in cases of sudden cardiac death due to coronary artery disease: a systematic review and meta-analysis
LA RADIOLOGIA MEDICA
2019
Improvement of prostate cancer detection combining a computer-aided diagnostic system with TRUS-MRI targeted biopsy
ABDOMINAL RADIOLOGY
2019
State-of-the-art imaging techniques in the management of preoperative staging and re-staging of prostate cancer
INTERNATIONAL JOURNAL OF UROLOGY
2019
Post-mortem computed tomography (PMCT) radiological findings and assessment in advanced decomposed bodies
LA RADIOLOGIA MEDICA
2019
Prostate imaging reporting and data system 3 category cases at multiparametric magnetic resonance for prostate cancer. A systematic review and meta-analysis
EUROPEAN UROLOGY FOCUS
2019
Reply to Jeremy Y.C. Teoh, Thomas R.W. Herrmann, and Marek Babjuk's Letter to the Editor re: Valeria Panebianco, Yoshifumi Narumi, Ersan Altun, et al. Multiparametric Magnetic Resonance Imaging for Bladder Cancer: Development of VI-RADS (Vesical Imaging-Reporting and Data System). Eur Urol 2018;74:294–306
EUROPEAN UROLOGY
2019
Should we perform multiparametric magnetic resonance imaging of the bladder before transurethral resection of bladder? Time to reconsider the rules
EUROPEAN UROLOGY
2019
Update on the ICUD-SIU consultation on multi-parametric magnetic resonance imaging in localised prostate cancer
WORLD JOURNAL OF UROLOGY
2019
A systematic review on the role of imaging in early recurrent prostate cancer
EUROPEAN UROLOGY ONCOLOGY
2019
The primacy of multiparametric MRI in men with suspected prostate cancer
EUROPEAN RADIOLOGY
2019
Accuracy of magnetic resonance imaging to identify pseudocapsule invasion in renal tumors
WORLD JOURNAL OF UROLOGY
2019
The evolution of MRI of the prostate: the past, the present, and the future
AMERICAN JOURNAL OF ROENTGENOLOGY
2019
Radiological wheeler staging system: a retrospective cohort analysis to improve the local staging of prostate cancer with multiparametric MRI
MINERVA UROLOGICA E NEFROLOGICA
2019
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Progetti di Ricerca
Health Technology Assessment of the Prostate Cancer Screening Randomized Controlled Trial (PROSA-I), combining Non-Contrast MRI and an Artificial Intelligence Algorithm
Computational Medicine for Prostate Cancer
Gruppi di ricerca
Regenerative medicine-based treatment with injection of autologous muscle-derived or adipose-derived stem cells for the management of stress urinary incontinence : two preclinical models
Gruppi di ricerca - Responsabile
Integrated Diagnostics in Prostate Cancer supported by Computational Algorithms (AI and network analysis)
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