Search

Your search keyword '"L. Sciacqua"' showing total 15 results
Start Over Author "L. Sciacqua"
15 results on '"L. Sciacqua"'

1. Multiparametric MRI of the prostate significantly underestimates tumor volume of small visible lesions. Implications for tailored focal therapy approaches

Author

F. Barletta, A. Stabile, R.J. Karnes, G. Motterle, N. Fossati, G. Gandaglia, G.O. Cirulli, G. Basile, V. Cucchiara, D. Robesti, M. Menean, G. Rosiello, C.A. Bravi, P. Dell’Oglio, A. Martini, A. Salonia, L. Sciacqua, G. Brembilla, A. Esposito, F. Montorsi, F. De Cobelli, and A. Briganti

Subjects
Diseases of the genitourinary system. Urology, RC870-923, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Published
2020
Full Text
View/download PDF

2. Prognostic value of high PIRADS score lesions at mp-MRI of the prostate in men with low risk prostate cancer managed with active surveillance. results from a single institution series

Author

G. Sorce, M. Bandini, L. Nocera, A. Stabile, G. Gandaglia, N. Fossati, M. Tutolo, F. Barletta, G.O. Cirulli, F. Pellegrino, G. Rosiello, E. Mazzone, C.A. Bravi, A. Martini, V. Cucchiara, D. Cannoletta, L. Sciacqua, S. Comana, G. Stabile, N. Suardi, M. Moschini, M. Droghetti, N. Longo, A. Mottrie, F. Montorsi, and A. Briganti

Subjects
Diseases of the genitourinary system. Urology, RC870-923, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Published
2020
Full Text
View/download PDF

3. A positive PSMA PET/CT Predicts more aggressive disease progression in patients with biochemical recurrence after radical prostatectomy

Author

L. Nocera, G. Gandaglia, N. Fossati, V. Cucchiara, D. Robesti, F. Barletta, S. Scuderi, A. Rizzo, E. Zito, A. Gallina, E. Camisassa, L. Sciacqua, M. Droghetti, G. Sorce, F. Pellegrino, E. Mazzone, A. Stabile, C.A. Bravi, A. Martini, P.I. Karakiewicz, M. Moschini, F. Montorsi, and A. Briganti

Subjects
Diseases of the genitourinary system. Urology, RC870-923, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Published
2020
Full Text
View/download PDF

4. Limited vs extended lymph node dissection in T1G3 bladder cancer patients treated with radical cystectomy: is this group responsible for the negative results of the LEA trial?

Author

G. Basile, M. Bandini, E. Zaffuto, S. Scuderi, F. Dehò, A. Salonia, R. Matloob, G. Burgio, L. Sciacqua, R. Bertini, S. Comana, M. Moschini, S. Zamboni, L. Afferi, V. Scattoni, R. Colombo, A. Briganti, F. Montorsi, A. Necchi, and A. Gallina

Subjects
Diseases of the genitourinary system. Urology, RC870-923, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Published
2020
Full Text
View/download PDF

5. Prognostic value of high PIRADS score lesions at mp-MRI of the prostate in men with low risk prostate cancer managed with active surveillance: Results from a single institution series

Author

M. Bandini, L. Nocera, A. Stabile, R. Leni, G. Gandaglia, N. Fossati, N. Suardi, V. Cucchiara, F. Barletta, D. Cannoletta, E. Camisassa, S. Comana, L. Sciacqua, M. Droghetti, G. Rosiello, E. Mazzone, M. Tutolo, C. Bravi, A. Mottrie, M. Moschini, V. Mirone, N. Longo, F. Montorsi, and A. Briganti

Subjects
Diseases of the genitourinary system. Urology, RC870-923, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Published
2020
Full Text
View/download PDF

6. A positive PSMA PET/CT predicts more aggressive disease progression in patients with biochemical recurrence after radical prostatectomy

Author

D. Robesti, G. Gandaglia, N. Fossati, V. Cucchiara, L. Nocera, F. Barletta, S. Scuderi, A. Rizzo, E. Zito, A. Gallina, E. Camisassa, L. Sciacqua, D. Santangelo, M. Droghetti, G. Sorce, F. Pellegrino, E. Mazzone, A. Stabile, C.A. Bravi, A. Martini, P.I. Karakiewicz, M. Moschini, F. Montorsi, and A. Briganti

Subjects
Diseases of the genitourinary system. Urology, RC870-923, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Published
2020
Full Text
View/download PDF

8. Prognostic value of high PIRADS score lesions at mp-MRI of the prostate in men with low risk prostate cancer managed with active surveillance: Results from a single institution series

Author

F. Pellegrino, Luigi Nocera, A. Briganti, Armando Stabile, M. Moschini, A. Mottrie, M. Bandini, Donato Cannoletta, N. Longo, Matteo Droghetti, G. Stabile, Vito Cucchiara, S. Comana, Giuseppe Rosiello, Gabriele Sorce, Francesco Barletta, C.A. Bravi, N. Fossati, M. Tutolo, Alberto Martini, L. Sciacqua, Giuseppe Cirulli, E. Mazzone, G. Gandaglia, Francesco Montorsi, and N. Suardi

Subjects
medicine.medical_specialty, Series (stratigraphy), business.industry, Urology, medicine.disease, lcsh:Diseases of the genitourinary system. Urology, lcsh:RC870-923, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, lcsh:RC254-282, Prostate cancer, medicine.anatomical_structure, Prostate, medicine, Radiology, Single institution, business, Value (mathematics)
Published
2020

9. A positive PSMA PET/CT predicts more aggressive disease progression in patients with biochemical recurrence after radical prostatectomy

Author

Andrea Gallina, P.I. Karakiewicz, M. Moschini, Francesco Montorsi, Vito Cucchiara, Luigi Nocera, Alberto Martini, Armando Stabile, A. Rizzo, E. Zito, Francesco Barletta, A. Briganti, C.A. Bravi, Simone Scuderi, Matteo Droghetti, Gabriele Sorce, G. Gandaglia, D. Santangelo, F. Pellegrino, E. Mazzone, N. Fossati, Daniele Robesti, L. Sciacqua, and E. Camisassa

Subjects
Biochemical recurrence, medicine.medical_specialty, Prostatectomy, business.industry, Urology, medicine.medical_treatment, Aggressive disease, lcsh:Diseases of the genitourinary system. Urology, lcsh:RC870-923, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, lcsh:RC254-282, medicine, In patient, Psma pet ct, business
Published
2020

10. Reducing the risk of postoperative complications after robot-assisted radical prostatectomy in prostate cancer patients: results of a prospective audit and feedback intervention following the implementation of prospective data collection

Author

G. Rosiello, G. Gandaglia, N. Fossati, V. Cucchiara, S. Scuderi, F. Barletta, E. Mazzone, C. Andrea Bravi, D. Robesti, D. Cannoletta, L. Sciacqua, S. Comana, E. Camisassa, A. Stabile, A. Gallina, F. Montorsi, and A. Briganti

Subjects
Urology
Published
2021

11. The detection of a PI-RADS 4-5 lesion at multiparametric MRI before confirmatory biopsy. Is the strongest predictor of disease progression among men with low-risk prostate cancer included in an active surveillance prospective protocol

Author

L. Nocera, G. Gandaglia, R. Leni, E. Mazzone, C. Bravi, A. Martini, G. Rosiello, S. Scuderi, F. Barletta, D. Cannoletta, G. Cirulli, M. De Angelis, L. Sciacqua, E. Camisassa, A. Stabile, N. Fossati, F. Montorsi, and A. Briganti

Subjects
Urology
Published
2021

12. Development of a classification system for reporting postoperative complications in prostate cancer patients treated with robot-assisted radical prostatectomy: A comprehensive analysis based on the EAU guidelines recommendations

Author

Simone Scuderi, Donato Cannoletta, A. Briganti, Armando Stabile, Elio Mazzone, Giuseppe Rosiello, E. Camisassa, Antony Pellegrino, G. Gandaglia, F. Montorsi, N. Fossati, Carlo Andrea Bravi, Vito Cucchiara, S. Comana, L. Sciacqua, Alberto Martini, Daniele Robesti, and Francesco Barletta

Subjects
Prostate cancer, medicine.medical_specialty, business.industry, Prostatectomy, Guidelines recommendations, Urology, medicine.medical_treatment, General surgery, Medicine, business, medicine.disease
Published
2021

13. Reducing the risk of postoperative complications after robot-assisted radical prostatectomy in prostate cancer patients: results of a prospective audit and feedback intervention following the implementation of prospective data collection

Author

Alberto Martini, Donato Cannoletta, Elio Mazzone, Francesco Barletta, E. Camisassa, L. Sciacqua, Daniele Robesti, Andrea Gallina, Vito Cucchiara, S. Comana, Simone Scuderi, F. Montorsi, Carlo Andrea Bravi, Armando Stabile, A. Briganti, Giuseppe Rosiello, G. Gandaglia, and N. Fossati

Subjects
medicine.medical_specialty, Prostate cancer, Prospective audit, Prostatectomy, business.industry, Urology, General surgery, Intervention (counseling), medicine.medical_treatment, medicine, Prospective data, medicine.disease, business
Published
2021

14. Limited vs extended lymph node dissection in T1G3 bladder cancer patients treated with radical cystectomy: is this group responsible for the negative results of the LEA trial?

Author

Emanuele Zaffuto, A. Briganti, M. Moschini, A. Gallina, S. Comana, Giusy Burgio, A. Salonia, R. Colombo, V. Scattoni, Rayan Matloob, R. Bertini, F. Dehò, M. Bandini, Andrea Necchi, L. Sciacqua, Luca Afferi, G. Basile, Simone Scuderi, F. Montorsi, and Stefania Zamboni

Subjects
medicine.medical_specialty, Bladder cancer, business.industry, Urology, medicine.medical_treatment, Dissection (medical), lcsh:Diseases of the genitourinary system. Urology, lcsh:RC870-923, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, medicine.disease, lcsh:RC254-282, Cystectomy, medicine.anatomical_structure, medicine, business, Lymph node
Published
2020

15. Machine Learning to Calculate Heparin Dose in COVID-19 Patients with Active Cancer

Author

Egidio Imbalzano, Luana Orlando, Angela Sciacqua, Giuseppe Nato, Francesco Dentali, Veronica Nassisi, Vincenzo Russo, Giuseppe Camporese, Gianluca Bagnato, Arrigo F. G. Cicero, Giuseppe Dattilo, Marco Vatrano, Antonio Giovanni Versace, Giovanni Squadrito, Pierpaolo Di Micco, Imbalzano, E., Orlando, L., Sciacqua, A., Nato, G., Dentali, F., Nassisi, V., Russo, V., Camporese, G., Bagnato, G., Cicero, A. F. G., Dattilo, G., Vatrano, M., Versace, A. G., Squadrito, G., Di Micco, P., and Imbalzano E, Orlando L, Sciacqua A, Nato G, Dentali F, Nassisi V, Russo V, Camporese G, Bagnato G, Cicero AFG, Dattilo G, Vatrano M, Versace AG, Squadrito G, Di Micco P

Subjects
SARS-CoV-2, machine-learning, artificial intelligence, heparin, anticoagulation, Medicine, General Medicine, Anticoagulation, Artificial intelligence, Heparin, Machine-learning, Article
Abstract

To realize a machine learning (ML) model to estimate the dose of low molecular weight heparin to be administered, preventing thromboembolism events in COVID-19 patients with active cancer. Methods: We used a dataset comprising 131 patients with active cancer and COVID-19. We considered five ML models: logistic regression, decision tree, random forest, support vector machine and Gaussian naive Bayes. We decided to implement the logistic regression model for our study. A model with 19 variables was analyzed. Data were randomly split into training (70%) and testing (30%) sets. Model performance was assessed by confusion matrix metrics on the testing data for each model as positive predictive value, sensitivity and F1-score. Results: We showed that the five selected models outperformed classical statistical methods of predictive validity and logistic regression was the most effective, being able to classify with an accuracy of 81%. The most relevant result was finding a patient-proof where python function was able to obtain the exact dose of low weight molecular heparin to be administered and thereby to prevent the occurrence of VTE. Conclusions: The world of machine learning and artificial intelligence is constantly developing. The identification of a specific LMWH dose for preventing VTE in very high-risk populations, such as the COVID-19 and active cancer population, might improve with the use of new training ML-based algorithms. Larger studies are needed to confirm our exploratory results.

Published
2022

Catalog

Books, media, physical & digital resources
See catalog results