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Article ; Online: Robotic Single-Site Hysterectomy in Gynecologic Benign Pathology: A Systematic Review of the Literature.

Riemma, Gaetano / Pasanisi, Francesca / Reino, Antonella / Solazzo, Maria Cristina / Ronsini, Carlo

2023 Volume 59, Issue 2

Abstract: Background and objectives: ...

Abstract	Background and objectives:
MeSH term(s)	Humans ; Female ; Adult ; Middle Aged ; Laparoscopy/methods ; Robotic Surgical Procedures/methods ; Hysterectomy/methods ; Robotics/methods ; Gynecologic Surgical Procedures/methods ; Retrospective Studies
Language	English
Publishing date	2023-02-20
Publishing country	Switzerland
Document type	Systematic Review ; Journal Article ; Review
ZDB-ID	2188113-3
ISSN	1648-9144 ; 1010-660X
ISSN (online)	1648-9144
ISSN	1010-660X
DOI	10.3390/medicina59020411
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Article: Simultaneous pneumothorax and pneumoperitoneum as a late consequence of traumatic injury of the diaphragm: Multimodality imaging approach with surgical correlation and treatment.

Solazzo, Antonio / Barone, Mario / Bonanno, Dora / Sofia, Carmelo / Bottari, Antonio / Ascenti, Velio / Familiari, Dario / Mazziotti, Silvio / Cicero, Giuseppe / Monaco, Francesco

Radiology case reports

2021 Volume 16, Issue 9, Page(s) 2421–2425

Abstract: Simultaneous occurrence of pneumothorax and pneumoperitoneum is a rare event, usually related to traumas or surgical procedures involving the diaphragm. However, clinicians should be aware of the possible onset of these two clinical conditions even in ... ...

Abstract	Simultaneous occurrence of pneumothorax and pneumoperitoneum is a rare event, usually related to traumas or surgical procedures involving the diaphragm. However, clinicians should be aware of the possible onset of these two clinical conditions even in patients without a recent clinical history that can clearly explain them. Cross-sectional imaging techniques are of great importance, providing crucial information about the patient's clinical status and guiding the following patient management. This work describes a unique case of a sudden occurrence of simultaneous pneumothorax and pneumoperitoneum in a previous asymptomatic man with a solely clinical history of minor trauma during childhood, evaluated through a multimodality imaging approach and treated with video-assisted thoracoscopy surgery.
Language	English
Publishing date	2021-07-01
Publishing country	Netherlands
Document type	Case Reports
ZDB-ID	2406300-9
ISSN	1930-0433
ISSN	1930-0433
DOI	10.1016/j.radcr.2021.05.079
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Prediction of severe thunderstorm events with ensemble deep learning and radar data.

Guastavino, Sabrina / Piana, Michele / Tizzi, Marco / Cassola, Federico / Iengo, Antonio / Sacchetti, Davide / Solazzo, Enrico / Benvenuto, Federico

Scientific reports

2022 Volume 12, Issue 1, Page(s) 20049

Abstract: The problem of nowcasting extreme weather events can be addressed by applying either numerical methods for the solution of dynamic model equations or data-driven artificial intelligence algorithms. Within this latter framework, the most used techniques ... ...

Abstract	The problem of nowcasting extreme weather events can be addressed by applying either numerical methods for the solution of dynamic model equations or data-driven artificial intelligence algorithms. Within this latter framework, the most used techniques rely on video prediction deep learning methods which take in input time series of radar reflectivity images to predict the next future sequence of reflectivity images, from which the predicted rainfall quantities are extrapolated. Differently from the previous works, the present paper proposes a deep learning method, exploiting videos of radar reflectivity frames as input and lightning data to realize a warning machine able to sound timely alarms of possible severe thunderstorm events. The problem is recast in a classification one in which the extreme events to be predicted are characterized by a an high level of precipitation and lightning density. From a technical viewpoint, the computational core of this approach is an ensemble learning method based on the recently introduced value-weighted skill scores for both transforming the probabilistic outcomes of the neural network into binary predictions and assessing the forecasting performance. Such value-weighted skill scores are particularly suitable for binary predictions performed over time since they take into account the time evolution of events and predictions paying attention to the value of the prediction for the forecaster. The result of this study is a warning machine validated against weather radar data recorded in the Liguria region, in Italy.
Language	English
Publishing date	2022-11-21
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-022-23306-6
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Article ; Online: Prediction of severe thunderstorm events with ensemble deep learning and radar data

Sabrina Guastavino / Michele Piana / Marco Tizzi / Federico Cassola / Antonio Iengo / Davide Sacchetti / Enrico Solazzo / Federico Benvenuto

Scientific Reports, Vol 12, Iss 1, Pp 1-

2022 Volume 14

Abstract: Abstract The problem of nowcasting extreme weather events can be addressed by applying either numerical methods for the solution of dynamic model equations or data-driven artificial intelligence algorithms. Within this latter framework, the most used ... ...

Abstract	Abstract The problem of nowcasting extreme weather events can be addressed by applying either numerical methods for the solution of dynamic model equations or data-driven artificial intelligence algorithms. Within this latter framework, the most used techniques rely on video prediction deep learning methods which take in input time series of radar reflectivity images to predict the next future sequence of reflectivity images, from which the predicted rainfall quantities are extrapolated. Differently from the previous works, the present paper proposes a deep learning method, exploiting videos of radar reflectivity frames as input and lightning data to realize a warning machine able to sound timely alarms of possible severe thunderstorm events. The problem is recast in a classification one in which the extreme events to be predicted are characterized by a an high level of precipitation and lightning density. From a technical viewpoint, the computational core of this approach is an ensemble learning method based on the recently introduced value-weighted skill scores for both transforming the probabilistic outcomes of the neural network into binary predictions and assessing the forecasting performance. Such value-weighted skill scores are particularly suitable for binary predictions performed over time since they take into account the time evolution of events and predictions paying attention to the value of the prediction for the forecaster. The result of this study is a warning machine validated against weather radar data recorded in the Liguria region, in Italy.
Keywords	Medicine ; R ; Science ; Q
Subject code	006
Language	English
Publishing date	2022-11-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Gastric blunt traumatic injuries: A computed tomography grading classification.

Solazzo, Antonio / Lassandro, Giulia / Lassandro, Francesco

World journal of radiology

2016 Volume 9, Issue 2, Page(s) 85–90

Abstract: Aim: To produce a radiological grading of gastric traumatic injuries.: Methods: In our study, we retrospectively analyzed 32 cases of blunt gastric traumatic injuries and compared computed tomography (CT) data with patients' surgical or medical ... ...

Abstract	Aim: To produce a radiological grading of gastric traumatic injuries. Methods: In our study, we retrospectively analyzed 32 cases of blunt gastric traumatic injuries and compared computed tomography (CT) data with patients' surgical or medical development. In all cases, a basal phase was acquired, and an intravenous contrast material was administered Results: We found 32 gastric traumatic injuries. In 22 patients (68.8%), the diagnosis was based on the surgical findings; in the other 10 patients (31.2%), the diagnosis was based on the clinical and CT radiological data. We observed discontinuity of the gastric wall and luminal content extravasation in 1 patient (3.1%); in 10 patients (31.2%), there was extra-luminal air in the peritoneum. In 28 patients (87.5%), there was peritoneal fluid, which was blood in 14 patients (hematoma in 11 patients and contrast material extravasation from active bleeding in 3 patients). In 15 patients (46.9%), there was gastric wall thickening. In 3 patients, it was possible to identify a prevalent involvement of the external layer of the gastric wall, whereas, in 2 patients, the inner side of the gastric wall presented with major involvement. In 3 patients (9.4%), pneumatosis of the gastric wall was detected. In 19 (59.4%) patients, the stomach was full. The fundus was the most frequently damaged part of the stomach because it was involved in 17 patients (53.1%). Based on the observed data, we identified four grades of gastric lesions. Conclusion: A radiologic score is helpful for guiding the diagnosis and management (surgical or conservative) of gastric blunt traumatic injuries and stratify patients according to short-term outcomes.
Language	English
Publishing date	2016-12-12
Publishing country	United States
Document type	Journal Article
ZDB-ID	2573705-3
ISSN	1949-8470
ISSN	1949-8470
DOI	10.4329/wjr.v9.i2.85
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Beyond Thrombus Detection: The Role of Multimodality Imaging Approach.

Todaro, Maria Chiara / Sirianni, Giovanni / Innocenti, Lisa / Solazzo, Antonio / Zanello, Alessandro / Pitì, Antonino

Journal of cardiovascular echography

2017 Volume 25, Issue 4, Page(s) 111–112

Abstract: We present a very rare case of paraneoplastic syndrome characterized by the unusual coexistence of a left ventricular apical thrombus and pulmonary embolism as the first manifestation of an unrecognized lung adenocarcinoma. ...

Abstract	We present a very rare case of paraneoplastic syndrome characterized by the unusual coexistence of a left ventricular apical thrombus and pulmonary embolism as the first manifestation of an unrecognized lung adenocarcinoma.
Language	English
Publishing date	2017-04-27
Publishing country	India
Document type	Case Reports
ZDB-ID	2734045-4
ISSN	2347-193X ; 2211-4122
ISSN (online)	2347-193X
ISSN	2211-4122
DOI	10.4103/2211-4122.172489
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Article ; Online: Simultaneous pneumothorax and pneumoperitoneum as a late consequence of traumatic injury of the diaphragm

Antonio Solazzo, MD / Mario Barone, MD / Dora Bonanno, MD / Carmelo Sofia, MD / Antonio Bottari, MD / Velio Ascenti, MD / Dario Familiari, MD / Silvio Mazziotti, MD / Giuseppe Cicero, MD / Francesco Monaco, MD

Radiology Case Reports, Vol 16, Iss 9, Pp 2421-

Multimodality imaging approach with surgical correlation and treatment

2021 Volume 2425

Abstract: Simultaneous occurrence of pneumothorax and pneumoperitoneum is a rare event, usually related to traumas or surgical procedures involving the diaphragm.However, clinicians should be aware of the possible onset of these two clinical conditions even in ... ...

Abstract	Simultaneous occurrence of pneumothorax and pneumoperitoneum is a rare event, usually related to traumas or surgical procedures involving the diaphragm.However, clinicians should be aware of the possible onset of these two clinical conditions even in patients without a recent clinical history that can clearly explain them.Cross-sectional imaging techniques are of great importance, providing crucial information about the patient's clinical status and guiding the following patient management.This work describes a unique case of a sudden occurrence of simultaneous pneumothorax and pneumoperitoneum in a previous asymptomatic man with a solely clinical history of minor trauma during childhood, evaluated through a multimodality imaging approach and treated with video-assisted thoracoscopy surgery.
Keywords	Computed Tomography ; Diaphragmatic injury ; Pneumothorax ; Pneumoperitoneum ; Medical physics. Medical radiology. Nuclear medicine ; R895-920
Subject code	616
Language	English
Publishing date	2021-09-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Contrast-enhanced voiding urosonography in the assessment of vesical-ureteral reflux: the time has come.

Sofia, Carmelo / Solazzo, Antonio / Cattafi, Antonino / Chimenz, Roberto / Cicero, Giuseppe / Marino, Maria Adele / D'angelo, Tommaso / Manti, Lauretta / Condorelli, Elvira / Ceravolo, Giorgia / Mazziotti, Silvio / Ascenti, Giorgio

La Radiologia medica

2021 Volume 126, Issue 7, Page(s) 901–909

Abstract: Vesicoureteral reflux (VUR) is a pathological condition contradistinguished by monolateral or bilateral retrograde flow of urine from the bladder to the ureter and to the kidney. If not properly recognized and treated, VUR can potentially be associated ... ...

Abstract	Vesicoureteral reflux (VUR) is a pathological condition contradistinguished by monolateral or bilateral retrograde flow of urine from the bladder to the ureter and to the kidney. If not properly recognized and treated, VUR can potentially be associated to several complications such as recurrent infections and possible secondary scars with Chronic Kidney Disease (CKD). Furthermore, it represents an important risk factor for nephrovascular hypertension. During the last 20 years, the diagnostic approach to this entity has passed through several, drastic changes: indeed, since its introduction in 1994 contrast-enhanced voiding urosonography (ceVUS) has gradually accompanied the voiding cystourethrography (VCUG) as alternative imaging technique for the diagnosis and staging of VUR. Despite a large number of papers has strongly encouraged its use in clinical practice, due to the lack of ionizing radiations and its high sensitivity rate, to date almost all the guidelines only include the VCUG for VUR diagnosis. The introduction of technologically advanced US software and the approval of the intravesical administration of ultrasound contrast agents by the Food and Drug Administration (FDA) and by the European Medicine Agency (EMA) have to induce the Scientific Community to a deep revaluation of the role of ceVUS in the diagnosis and follow-up of VUR: urosonography might extensively replace VCUG as the reference method, reserving to cystourethrography a role in the most complex anatomic settings for pre-surgical evaluation.
MeSH term(s)	Contrast Media/poisoning ; Humans ; Ultrasonography/methods ; Urinary Bladder/diagnostic imaging ; Urinary Bladder/physiopathology ; Urination/physiology ; Vesico-Ureteral Reflux/diagnosis ; Vesico-Ureteral Reflux/physiopathology
Chemical Substances	Contrast Media
Language	English
Publishing date	2021-05-05
Publishing country	Italy
Document type	Journal Article ; Review
ZDB-ID	205751-7
ISSN	1826-6983 ; 0033-8362
ISSN (online)	1826-6983
ISSN	0033-8362
DOI	10.1007/s11547-021-01360-w
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Book ; Online: Prediction of severe thunderstorm events with ensemble deep learning and radar data

Guastavino, Sabrina / Piana, Michele / Tizzi, Marco / Cassola, Federico / Iengo, Antonio / Sacchetti, Davide / Solazzo, Enrico / Benvenuto, Federico

2021

Abstract	The problem of nowcasting extreme weather events can be addressed by applying either numerical methods for the solution of dynamic model equations or data-driven artificial intelligence algorithms. Within this latter framework, the present paper illustrates how a deep learning method, exploiting videos of radar reflectivity frames as input, can be used to realize a warning machine able to sound timely alarms of possible severe thunderstorm events. From a technical viewpoint, the computational core of this approach is the use of a value-weighted skill score for both transforming the probabilistic outcomes of the deep neural network into binary classification and assessing the forecasting performances. The warning machine has been validated against weather radar data recorded in the Liguria region, in Italy
Keywords	Computer Science - Machine Learning ; Computer Science - Artificial Intelligence ; 68T07 ; 86A10
Publishing date	2021-09-20
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Impact of anxiety levels on the perception of pain in patients undergoing office hysteroscopy.

Sorrentino, Felice / Petito, Annamaria / Angioni, Stefano / D'Antonio, Francesco / Severo, Melania / Solazzo, Maria Cristina / Tinelli, Raffaele / Nappi, Luigi

Archives of gynecology and obstetrics

2020 Volume 303, Issue 4, Page(s) 999–1007

Abstract: Objective: This study aimed at assessing the impact of anxiety on pain perception during hysteroscopy and to highlight the possible contribution of factors related to pain perception.: Materials and methods: 104 women with indication for office ... ...

Abstract	Objective: This study aimed at assessing the impact of anxiety on pain perception during hysteroscopy and to highlight the possible contribution of factors related to pain perception. Materials and methods: 104 women with indication for office hysteroscopy fullfilled anonymous self-report questionnaires during the waiting time, before the procedure. The first self-report questionnaire included general patient information and an overall assessment of the degree of satisfaction with the information received before the procedure. The level of pre-procedural anxiety was measured through the State-Trait Anxiety Inventory STAI-Y1 (state anxiety). The perceived stress was assessed using the Perceived Stress Scale (PSS). The intensity of pain during the procedure and 20 min later was assessed with VAS score. Results: The average waiting time was of 192.33 ± 91 min. 59 patients (56.7%) performed the examination without analgesia while 45 women (43.3%) required analgesia. 28 women (27%) experienced mild pain, 34 (33%) moderate pain and 42 (40%) severe pain. The patients who performed the procedure without analgosedation had an average STAI-Y1 score of 44.81 ± 1.20, compared to women who required analgosedation (average score of 49.40 ± 1.64). The perceived level of stress was also associated with the use of analgosedation. Patients who did not request any anesthetic intervention obtained a PSS average score of 16.66 ± 0.75, compared to the subgroup with anesthesia (score of 19.76 ± 0.90). Conclusions: Anxiety represents a key element for the success of ambulatory hysteroscopy. The management of anxiety can reduce the request for analgesia with a consequent optimization of time, costs and safety.
MeSH term(s)	Anxiety ; Female ; Humans ; Hysteroscopy ; Middle Aged ; Office Visits ; Pain Measurement ; Pain Perception ; Psychometrics ; Surveys and Questionnaires
Language	English
Publishing date	2020-11-19
Publishing country	Germany
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	896455-5
ISSN	1432-0711 ; 0932-0067
ISSN (online)	1432-0711
ISSN	0932-0067
DOI	10.1007/s00404-020-05885-9
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