GIOVANNI SCALA MARCHINI
Projetos de Pesquisa
Unidades Organizacionais
Instituto Central, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/55 - Laboratório de Urologia, Hospital das Clínicas, Faculdade de Medicina
LIM/55 - Laboratório de Urologia, Hospital das Clínicas, Faculdade de Medicina
23 resultados
Resultados de Busca
Agora exibindo 1 - 10 de 23
conferenceObject FACTORS ASSOCIATED WITH SEVERE SEPTIC EVENTS AFTER SURGICAL DECOMPRESSION OF OBSTRUCTING URETERAL STONES: A PROSPECTIVE ANALYSIS(2016) MARCHINI, Giovanni; MOSCARDI, Paulo; SROUGI, Victor; VICENTINI, Fabio; TORRICELLI, Fabio; BRITO, Artur; CAMARA, Cesar; SROUGI, Miguel; MAZZUCCHI, EduardoconferenceObject SPORADIC PRIMARY HYPERPARATHYROIDISM AND STONE DISEASE: A COMPREHENSIVE METABOLIC EVALUATION BEFORE AND AFTER PARATHYROIDECTOMY(2018) MARCHINI, Giovanni; FARIA, Kauy; TORRICELLI, Fabio; MONGA, Manoj; VICENTINI, Fabio; DANILOVIC, Alexandre; SROUGI, Miguel; NAHAS, William; MAZZUCCHI, EduardoconferenceObject LOW-VOLUME PROSTATE IN BENIGN PROSTATIC HYPERPLASIA (BPH): A RISK FACTOR FOR SYMPTOMATIC BLADDER DIVERTICULA REQUIRING SURGICAL TREATMENT(2015) YOSHINAGA, Eduardo Muracca; NAKANO, Elcio; MARCHINI, Giovanni S.; OYAMA, Renato Hajime; CORDEIRO, Paulo; NAHAS, William C.; SROUGI, Miguel; ANTUNES, Alberto A.conferenceObject IN VITRO EVALUATION OF SINGLE-USE DIGITAL FLEXIBLE URETEROSCOPES: A PRACTICAL COMPARISON FOR A PATIENT-CENTERED APPROACH(2018) MARCHINI, Giovanni; BATAGELLO, Carlos; MONGA, Manoj; TORRICELLI, Fabio; VICENTINI, Fabio; DANILOVIC, Alexandre; SROUGI, Miguel; NAHAS, William; MAZZUCCHI, EduardoconferenceObject PROSPECTIVE MID-TERM EVALUATION OF THE IMPACT OF SILENT URETERAL STONE TREATMENT ON RENAL FUNCTION USING 99MTC-DMSA(2016) MARCHINI, Giovanni; VICENTINI, Fablo; TORRICELLI, Fabio; DANILOVIC, Alexandre; BRITO, Artur; CAMARA, Cesar; MAZZUCCHI, Eduardo; SROUGI, MiguelconferenceObject SNP RS17383719 IN THE PBX1 GENE IS ASSOCIATED WITH CYSTINURIA(2017) REIS, Sabrina; GUIMARAES, Ronaldo; VIANA, Nayara; LEITE, Katia; MARCHINI, Giovanni; TORRICELLI, Fabio; NAHAS, William; SROUGI, Miguel; MAZZUCCHI, EduardoconferenceObject PROSPECTIVE EVALUATION OF BILATERAL RIRS: IS IT REALLY SAFE?(2020) DANILOVIC, Alexandre; TORRICELLI, Fabio; MARCHINI, Giovanni; BATAGELLO, Carlos; VICENTINI, Fabio; TRAXER, Olivier; SROUGI, Miguel; NAHAS, William; MAZZUCCHI, EduardoconferenceObject GENETIC ALTERATIONS RELATED TO CYSTINURIA - A GENOME WIDE ASSOCIATION ANALYSIS(2016) REIS, Sabrina; VIANA, Nayara; LEITE, Katia; MAGIONI, Felipe; TORRICELLI, Fabio; MARCHINNI, Giovanni; SROUGI, Miguel; MAZZUCCHI, Eduardo- Accurately Diagnosing Uric Acid Stones from Conventional Computerized Tomography Imaging: Development and Preliminary Assessment of a Pixel Mapping Software(2018) GANESAN, Vishnu; DE, Shubha; SHKUMAT, Nicholas; MARCHINI, Giovanni; MONGA, ManojPurpose: Preoperative determination of uric acid stones from computerized tomography imaging would be of tremendous clinical use. We sought to design a software algorithm that could apply data from noncontrast computerized tomography to predict the presence of uric acid stones. Materials and Methods: Patients with pure uric acid and calcium oxalate stones were identified from our stone registry. Only stones greater than 4 mm which were clearly traceable from initial computerized tomography to final composition were included in analysis. A semiautomated computer algorithm was used to process image data. Average and maximum HU, eccentricity (deviation from a circle) and kurtosis (peakedness vs flatness) were automatically generated. These parameters were examined in several mathematical models to predict the presence of uric acid stones. Results: A total of 100 patients, of whom 52 had calcium oxalate and 48 had uric acid stones, were included in the final analysis. Uric acid stones were significantly larger (12.2 vs 9.0 mm, p = 0.03) but calcium oxalate stones had higher mean attenuation (457 vs 315 HU, p = 0.001) and maximum attenuation (918 vs 553 HU, p < 0.001). Kurtosis was significantly higher in each axis for calcium oxalate stones (each p < 0.001). A composite algorithm using attenuation distribution pattern, average attenuation and stone size had overall 89% sensitivity, 91% specificity, 91% positive predictive value and 89% negative predictive value to predict uric acid stones. Conclusions: A combination of stone size, attenuation intensity and attenuation pattern from conventional computerized tomography can distinguish uric acid stones from calcium oxalate stones with high sensitivity and specificity.
conferenceObject POSTOPERATIVE ANTIBIOTIC PROPHYLAXIS FOR PERCUTANEOUS NEPHROLITHOTOMY AND RISK OF INFECTION: A SYSTEMATIC REVIEW AND META-ANALYSIS(2023) TALIZIN, Thalita; DANILOVIC, Alexandre; TORRICELLI, Fabio; MARCHINI, Giovanni; BATAGELLO, Carlos; VICENTINI, Fabio; NAHAS, William; MAZZUCCHI, Eduardo
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