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Book ; Online: Chapter Grain size, nutrients and heavy metals analysis to evaluate natural vs anthropogenic sources in the sea environment (Naples Bay, Eastern Tyrrhenian Sea)

MILIA, ALFONSA / francesco paolo, buonocunto / Di Leo, Antonella / Ferraro, Luciana / giandomenico, santina / Giordano, Laura / Violante, Crescenzo

(Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques)

2022

Series title	Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques
Keywords	The environment ; Heavy metals contamination ; Nutrients and grain size ; Submarine delta zone ; Naples Bay ; Tyrrhenian Sea
Language	English
Size	1 electronic resource (10 pages)
Publisher	Firenze University Press
Publishing place	Florence
Document type	Book ; Online
Note	English
HBZ-ID	HT030376199
ISBN	9791221500301
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Book ; Online: Chapter The offshore environmental impact by Sarno river in Naples bay (South-West Italy)

Di Leo, Antonella / Giandomenico, Santina / Spada, Lucia / Cardellicchio, Nicola / Buonocunto, Francesco Paolo / Esposito, Eliana / Ferraro, Luciana / Giordano, Laura / Milia, Alfonsa / Violante, Crescenzo

(Proceedings e report)

2020

Series title	Proceedings e report
Keywords	Organic matter ; Naples bay
Language	0\|e
Size	1 electronic resource (10 pages)
Publisher	Firenze University Press
Publishing place	Florence
Document type	Book ; Online
Note	English ; Open Access
HBZ-ID	HT021609459
ISBN	9788855181471 ; 8855181475
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: Tocilizumab and hyperdynamic syndrome in severe burn patient: is that pouring water on fire?

Coletta, Francesco / Sala, Crescenzo / Tomasello, Antonio / Villani, Romolo

Italian journal of dermatology and venereology

2023 Volume 158, Issue 6, Page(s) 493

MeSH term(s)	Antibodies, Monoclonal, Humanized/therapeutic use ; Humans ; Burns/complications ; Burns/drug therapy
Chemical Substances	Antibodies, Monoclonal, Humanized ; tocilizumab (I031V2H011)
Language	English
Publishing date	2023-12-01
Publishing country	Italy
Document type	Letter
ZDB-ID	3065415-4
ISSN	2784-8450
ISSN (online)	2784-8450
DOI	10.23736/S2784-8671.23.07497-2
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A deep learning model to predict Ki-67 positivity in oral squamous cell carcinoma

Francesco Martino / Gennaro Ilardi / Silvia Varricchio / Daniela Russo / Rosa Maria Di Crescenzo / Stefania Staibano / Francesco Merolla

Journal of Pathology Informatics, Vol 15, Iss , Pp 100354- (2024)

1481

Abstract: Anatomical pathology is undergoing its third revolution, transitioning from analogical to digital pathology and incorporating new artificial intelligence technologies into clinical practice. Aside from classification, detection, and segmentation models, ... ...

Abstract	Anatomical pathology is undergoing its third revolution, transitioning from analogical to digital pathology and incorporating new artificial intelligence technologies into clinical practice. Aside from classification, detection, and segmentation models, predictive models are gaining traction since they can impact diagnostic processes and laboratory activity, lowering consumable usage and turnaround time. Our research aimed to create a deep-learning model to generate synthetic Ki-67 immunohistochemistry from Haematoxylin and Eosin (H&E) stained images. We used 175 oral squamous cell carcinoma (OSCC) from the University Federico II’s Pathology Unit’s archives to train our model to generate 4 Tissue Micro Arrays (TMAs). We sectioned one slide from each TMA, first stained with H&E and then re-stained with anti-Ki-67 immunohistochemistry (IHC). In digitised slides, cores were disarrayed, and the matching cores of the 2 stained were aligned to construct a dataset to train a Pix2Pix algorithm to convert H&E images to IHC. Pathologists could recognise the synthetic images in only half of the cases in a specially designed likelihood test. Hence, our model produced realistic synthetic images. We next used QuPath to quantify IHC positivity, achieving remarkable levels of agreement between genuine and synthetic IHC.Furthermore, a categorical analysis employing 3 Ki-67 positivity cut-offs (5%, 10%, and 15%) revealed high positive-predictive values. Our model is a promising tool for collecting Ki-67 positivity information directly on H&E slides, reducing laboratory demand and improving patient management. It is also a valuable option for smaller laboratories to easily and quickly screen bioptic samples and prioritise them in a digital pathology workflow.
Keywords	OSCC ; Ki-67 ; Prediction ; Deep learning ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Pathology ; RB1-214
Subject code	006
Language	English
Publishing date	2024-12-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: A deep learning model to predict Ki-67 positivity in oral squamous cell carcinoma.

Martino, Francesco / Ilardi, Gennaro / Varricchio, Silvia / Russo, Daniela / Di Crescenzo, Rosa Maria / Staibano, Stefania / Merolla, Francesco

Journal of pathology informatics

2023 Volume 15, Page(s) 100354

Abstract	Anatomical pathology is undergoing its third revolution, transitioning from analogical to digital pathology and incorporating new artificial intelligence technologies into clinical practice. Aside from classification, detection, and segmentation models, predictive models are gaining traction since they can impact diagnostic processes and laboratory activity, lowering consumable usage and turnaround time. Our research aimed to create a deep-learning model to generate synthetic Ki-67 immunohistochemistry from Haematoxylin and Eosin (H&E) stained images. We used 175 oral squamous cell carcinoma (OSCC) from the University Federico II's Pathology Unit's archives to train our model to generate 4 Tissue Micro Arrays (TMAs). We sectioned one slide from each TMA, first stained with H&E and then re-stained with anti-Ki-67 immunohistochemistry (IHC). In digitised slides, cores were disarrayed, and the matching cores of the 2 stained were aligned to construct a dataset to train a Pix2Pix algorithm to convert H&E images to IHC. Pathologists could recognise the synthetic images in only half of the cases in a specially designed likelihood test. Hence, our model produced realistic synthetic images. We next used QuPath to quantify IHC positivity, achieving remarkable levels of agreement between genuine and synthetic IHC. Furthermore, a categorical analysis employing 3 Ki-67 positivity cut-offs (5%, 10%, and 15%) revealed high positive-predictive values. Our model is a promising tool for collecting Ki-67 positivity information directly on H&E slides, reducing laboratory demand and improving patient management. It is also a valuable option for smaller laboratories to easily and quickly screen bioptic samples and prioritise them in a digital pathology workflow.
Language	English
Publishing date	2023-11-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	2579241-6
ISSN	2153-3539 ; 2229-5089
ISSN (online)	2153-3539
ISSN	2229-5089
DOI	10.1016/j.jpi.2023.100354
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Time to Recurrence of Intracranial Meningiomas from a Monoinstitutional Surgical Series.

Maiuri, Francesco / Corvino, Sergio / Corazzelli, Giuseppe / Berardinelli, Jacopo / Di Crescenzo, Rosa Maria / Del Basso De Caro, Marialaura

World neurosurgery

2024 Volume 185, Page(s) e612–e619

Abstract: Background: Meningiomas show variable tendency to recur. While risk factors of recurrence have been largely investigated in literature, a paucity of data is available on the time to recurrence. Our purpose was to identify main factors affecting the time ...

Abstract	Background: Meningiomas show variable tendency to recur. While risk factors of recurrence have been largely investigated in literature, a paucity of data is available on the time to recurrence. Our purpose was to identify main factors affecting the time to recurrence to assist preoperative treatment decision-making strategy and to define a tailored clinical and neuroradiological follow-up. Methods: Data of 35 patients with intracranial meningioma recurrences have been retrospectively reviewed. Demographic (patient age at initial diagnosis and sex), radiologic (meningioma location, pattern of regrowth and topography of recurrences at first reoperation), pathologic (WHO grade and Ki67-MIB1 at initial surgery and at first reoperation, progesterone receptor [PR] expression), and surgical (extent of resection at initial surgery according to Simpsons grading system, number of reoperations) factors were analyzed. Results: Time to recurrence ranged from 20 to 120 months. Extent of resection at initial surgery was Simpson grade I in 7 patients (20%), grade II in 10 (28.5%), grade III in 14 (40%), and grade IV in 4 (11.5%). Longer median time to recurrence was observed for skull base localization (P < 0.01), Simpson grades I and II versus grades III (P = 0.01) and IV (P = 0.02), values of Ki67-MIB1 ≤ 4% (P = 0.001), and PR > 60% (P = 0.03); conversely, sex, age, number of reoperations, unchanged/progression of Ki67, and/or World Health Organization grade between first surgery and reoperation did not correlate in statistically significant way with time to recurrence. Conclusions: The extent of resection and the Ki67-MIB1 represent the most important factors predicting shorter recurrence time of intracranial meningiomas. Patients with incomplete (Simpson grades III and IV) resection and high Ki67-MIB1 values, especially at non-skull base localization and with low PR values, require a closer short-term clinical and radiologic follow-up in the first years after surgery.
MeSH term(s)	Humans ; Meningioma/surgery ; Meningioma/pathology ; Meningioma/diagnostic imaging ; Female ; Male ; Middle Aged ; Neoplasm Recurrence, Local ; Meningeal Neoplasms/surgery ; Meningeal Neoplasms/pathology ; Meningeal Neoplasms/diagnostic imaging ; Aged ; Retrospective Studies ; Adult ; Time Factors ; Reoperation ; Neurosurgical Procedures/methods ; Aged, 80 and over ; Follow-Up Studies ; Young Adult ; Ki-67 Antigen/metabolism ; Ki-67 Antigen/analysis
Chemical Substances	Ki-67 Antigen
Language	English
Publishing date	2024-02-28
Publishing country	United States
Document type	Journal Article
ZDB-ID	2534351-8
ISSN	1878-8769 ; 1878-8750
ISSN (online)	1878-8769
ISSN	1878-8750
DOI	10.1016/j.wneu.2024.02.087
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Article: Serratus anterior plane block and postoperative pain control in obese patients undergoing S-ICD implantation: A case series and literature analysis.

Coletta, Francesco / Schettino, Francesca / Tomasello, Antonio / Sala, Crescenzo / Pisanti, Massimo / Villani, Romolo

Clinical case reports

2024 Volume 12, Issue 1, Page(s) e8374

Abstract: We report five case series of obese patients with severe left ventricular ejection fraction impairment undergoing Serratus Anterior Plane Block during S-ICD Implantation. This anesthesia approach has a reduced impact on the patient's hemodynamics and ... ...

Abstract	We report five case series of obese patients with severe left ventricular ejection fraction impairment undergoing Serratus Anterior Plane Block during S-ICD Implantation. This anesthesia approach has a reduced impact on the patient's hemodynamics and adequately manages postprocedural pain. Abstract: Subcutaneous implantable cardioverter-defibrillator (S-ICD) procedures are frequently performed under analgosedation or general anesthesia, leading to prolonged postoperative hospital stays and increased costs. This anesthetic technique may also have a greater hemodynamic impact, particularly in obese and cardiac patients. However, an alternative anesthetic technique can be employed: ultrasound-guided serratus anterior plane block (US-SAPB). We analyzed the anesthetic clinical course in 5 patients, 3 males and 2 females, who were obese (BMI ≥ 30) and underwent S-ICD implantation for primary prevention using a two-incision intermuscular technique and ultrasound-guided serratus anterior plane block. All patients had a left ventricular ejection fraction less than or equal to 35%. It significantly facilitated pain control during the procedure and, especially, in the postoperative phase. However, the data available in the literature are mostly derived from case reports and small comparative studies. Therefore, further studies with a larger sample size and direct comparison with general anesthesia or deep sedation are needed.
Language	English
Publishing date	2024-01-02
Publishing country	England
Document type	Case Reports
ZDB-ID	2740234-4
ISSN	2050-0904
ISSN	2050-0904
DOI	10.1002/ccr3.8374
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: "What Is Hidden behind the Mask?" Facial Emotion Recognition at the Time of COVID-19 Pandemic in Cognitively Normal Multiple Sclerosis Patients.

Ziccardi, Stefano / Crescenzo, Francesco / Calabrese, Massimiliano

Diagnostics (Basel, Switzerland)

2021 Volume 12, Issue 1

Abstract: Social cognition deficits have been described in people with multiple sclerosis (PwMS), even in absence of a global cognitive impairment, affecting predominantly the ability to adequately process emotions from human faces. The COVID-19 pandemic has ... ...

Abstract	Social cognition deficits have been described in people with multiple sclerosis (PwMS), even in absence of a global cognitive impairment, affecting predominantly the ability to adequately process emotions from human faces. The COVID-19 pandemic has forced people to wear face masks that might interfere with facial emotion recognition. Therefore, in the present study, we aimed at investigating the ability of emotion recognition in PwMS from faces wearing masks. We enrolled a total of 42 cognitively normal relapsing-remitting PwMS and a matched group of 20 healthy controls (HCs). Participants underwent a facial emotion recognition task in which they had to recognize from faces wearing or not surgical masks which of the six basic emotions (happiness, anger, fear, sadness, surprise, disgust) was presented. Results showed that face masks negatively affected emotion recognition in all participants (
Language	English
Publishing date	2021-12-27
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2662336-5
ISSN	2075-4418
ISSN	2075-4418
DOI	10.3390/diagnostics12010047
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: “What Is Hidden behind the Mask?” Facial Emotion Recognition at the Time of COVID-19 Pandemic in Cognitively Normal Multiple Sclerosis Patients

Stefano Ziccardi / Francesco Crescenzo / Massimiliano Calabrese

Diagnostics, Vol 12, Iss 47, p

2022 Volume 47

Abstract	Social cognition deficits have been described in people with multiple sclerosis (PwMS), even in absence of a global cognitive impairment, affecting predominantly the ability to adequately process emotions from human faces. The COVID-19 pandemic has forced people to wear face masks that might interfere with facial emotion recognition. Therefore, in the present study, we aimed at investigating the ability of emotion recognition in PwMS from faces wearing masks. We enrolled a total of 42 cognitively normal relapsing–remitting PwMS and a matched group of 20 healthy controls (HCs). Participants underwent a facial emotion recognition task in which they had to recognize from faces wearing or not surgical masks which of the six basic emotions (happiness, anger, fear, sadness, surprise, disgust) was presented. Results showed that face masks negatively affected emotion recognition in all participants ( p < 0.001); in particular, PwMS showed a global worse accuracy than HCs ( p = 0.005), mainly driven by the “no masked” ( p = 0.021) than the “masked” ( p = 0.064) condition. Considering individual emotions, PwMS showed a selective impairment in the recognition of fear, compared with HCs, in both the conditions investigated (“masked”: p = 0.023; “no masked”: p = 0.016). Face masks affected negatively also response times ( p < 0.001); in particular, PwMS were globally hastier than HCs ( p = 0.024), especially in the “masked” condition ( p = 0.013). Furthermore, a detailed characterization of the performance of PwMS and HCs in terms of accuracy and response speed was proposed. Results from the present study showed the effect of face masks on the ability to process facial emotions in PwMS, compared with HCs. Healthcare professionals working with PwMS at the time of the COVID-19 outbreak should take into consideration this effect in their clinical practice. Implications in the everyday life of PwMS are also discussed.
Keywords	multiple sclerosis ; facial emotion recognition ; COVID-19 ; face masks ; social cognition ; Medicine (General) ; R5-920
Subject code	150
Language	English
Publishing date	2022-12-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Early multiple sclerosis: diagnostic challenges in clinically and radiologically isolated syndrome patients.

Calabrese, Massimiliano / Marastoni, Damiano / Crescenzo, Francesco / Scalfari, Antonio

Current opinion in neurology

2021 Volume 34, Issue 3, Page(s) 277–285

Abstract: Purpose of review: With the introduction of new diagnostic criteria, the sensibility for multiple sclerosis (MS) diagnosis increased and the number of cases with the clinically isolated syndrome (CIS) decreased. Nevertheless, a misdiagnosis might always ...

Abstract	Purpose of review: With the introduction of new diagnostic criteria, the sensibility for multiple sclerosis (MS) diagnosis increased and the number of cases with the clinically isolated syndrome (CIS) decreased. Nevertheless, a misdiagnosis might always be around the corner, and the exclusion of a 'better explanation' is mandatory.There is a pressing need to provide an update on the main prognostic factors that increase the risk of conversion from CIS or from radiologically isolated syndrome (RIS) to MS, and on the potential 'red flags' to consider during the diagnostic workup. Recent findings: We discuss diagnostic challenges when facing patients presenting with a first demyelinating attack or with a RIS, with a focus on recently revised diagnostic criteria, on other neuroinflammatory conditions to be considered in the differential diagnosis and on factors distinguishing patients at risk of developing MS.A correct definition of a 'typical' demyelinating attack, as well as a correct interpretation of MRI findings, remains crucial in the diagnostic process. The cerebrospinal fluid examination is warmly recommended to confirm the dissemination in time of the demyelinating process and to increase the diagnostic accuracy. Summary: An early and accurate diagnosis of MS requires careful consideration of all clinical, paraclinical and radiological data, as well the reliable exclusion of other mimicking pathological conditions. This is advocated to promptly initiate an appropriate disease-modifying therapy, which can impact positively on the long-term outcome of the disease.
MeSH term(s)	Demyelinating Diseases/diagnostic imaging ; Diagnosis, Differential ; Diagnostic Errors ; Humans ; Magnetic Resonance Imaging ; Multiple Sclerosis/diagnostic imaging
Language	English
Publishing date	2021-03-04
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	1182686-1
ISSN	1473-6551 ; 1350-7540
ISSN (online)	1473-6551
ISSN	1350-7540
DOI	10.1097/WCO.0000000000000921
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