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Article: Chemoradiotherapy for Head and Neck Cancer.

D'Onofrio, Ida / Nardone, Valerio / Reginelli, Alfonso / Cappabianca, Salvatore

2023 Volume 15, Issue 10

Abstract: Head and neck squamous cell carcinoma (HNSCC) is a highly challenging cancer [ ... ]. ...

Abstract	Head and neck squamous cell carcinoma (HNSCC) is a highly challenging cancer [...].
Language	English
Publishing date	2023-05-18
Publishing country	Switzerland
Document type	Editorial
ZDB-ID	2527080-1
ISSN	2072-6694
ISSN	2072-6694
DOI	10.3390/cancers15102820
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Article ; Online: A novel methodology for head and neck carcinoma treatment stage detection by means of model checking.

Brunese, Luca / Mercaldo, Francesco / Reginelli, Alfonso / Santone, Antonella

Artificial intelligence in medicine

2022 Volume 127, Page(s) 102263

Abstract: Context: Head and neck cancers are diagnosed at an annual rate of 3% to 7% with respect to the total number of cancers, and 50% to 75% of such new tumours occur in the upper aerodigestive tract.: Purpose: In this paper we propose formal methods based ...

Abstract	Context: Head and neck cancers are diagnosed at an annual rate of 3% to 7% with respect to the total number of cancers, and 50% to 75% of such new tumours occur in the upper aerodigestive tract. Purpose: In this paper we propose formal methods based approach aimed to identify the head and neck tumour treatment stage by means of model checking. We exploit a set of radiomic features to model medical imaging as a labelled transition system to verify treatment stage properties. Main findings: We experiment the proposed method using a public dataset related to computed tomography images obtained in different treatment stages, reaching an accuracy ranging from 0.924 to 0.978 in treatment stage detection. Principal conclusions: The study confirms the effectiveness of the adoption of formal methods in the head and neck carcinoma treatment stage detection to support radiologists and pathologists.
MeSH term(s)	Head and Neck Neoplasms/diagnostic imaging ; Head and Neck Neoplasms/therapy ; Humans ; Retrospective Studies ; Tomography, X-Ray Computed
Language	English
Publishing date	2022-03-21
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	645179-2
ISSN	1873-2860 ; 0933-3657
ISSN (online)	1873-2860
ISSN	0933-3657
DOI	10.1016/j.artmed.2022.102263
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Article: "RT STRIKES BACK": Radiotherapy in Ultra Elderly with Cutaneous Basal Cell Carcinoma.

Nardone, Valerio / Gagliardi, Federico / Brancaccio, Gabriella / Napolitano, Stefania / Briatico, Giulia / Reginelli, Alfonso

Dermatology practical & conceptual

2023 Volume 13, Issue 2

Language	English
Publishing date	2023-04-01
Publishing country	Austria
Document type	Letter
ZDB-ID	2685397-8
ISSN	2160-9381
ISSN	2160-9381
DOI	10.5826/dpc.1302a110
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Article: Imaging diagnosis of a rare case of intermittent intestinal pneumatosis: A consequence of ileocecal valve clip dysfunction?

Russo, Anna / Patanè, Vittorio / Zaccaria, Carmine / Verolino, Pasquale / Cioce, Fabrizio / Stanzione, Francesco / Reginelli, Alfonso

Radiology case reports

2023 Volume 19, Issue 2, Page(s) 780–784

Abstract: Pneumatosis intestinalis is a condition characterized by the presence of gas or air pockets within the walls of the intestines. It can occur in any section of the gastrointestinal tract but it is most commonly found in the colon. Etiology and ... ...

Abstract	Pneumatosis intestinalis is a condition characterized by the presence of gas or air pockets within the walls of the intestines. It can occur in any section of the gastrointestinal tract but it is most commonly found in the colon. Etiology and pathogenesis of PI are not yet fully understood, but several potential factors have been suggested to play a pivotal role in the development of this pathologic condition. Pneumatosis intestinalis seems to arise from a complex interplay between various factors, such as the integrity of the intestinal lining, pressure within the portal vein, the composition of the microbiological flora in the gut. Pneumatosis intestinalis can be caused by a variety of underlying conditions, such as bowel obstruction, intestinal ischemia, infection, inflammatory bowel disease, or certain medications. Symptoms may include abdominal pain, bloating, diarrhea, vomiting, and bloody stools. We present a case report of a 63-year-old male patient who underwent laparoscopic cholecystectomy for symptomatic cholelithiasis with recurrent cholecystitis. Following the surgery, the patient experienced a rapid drop in hemoglobin levels, necessitating an urgency regimen laparoscopic abdominal exploration which revealed Meckel's diverticulitis with active bleeding leading to diverticulectomy. The next day, the patient developed a radiological condition characterized by the co-presence of intermittent pneumatosis intestinalis, Portal pneumatosis and intermittent small bowel obstruction.
Language	English
Publishing date	2023-12-05
Publishing country	Netherlands
Document type	Case Reports
ZDB-ID	2406300-9
ISSN	1930-0433
ISSN	1930-0433
DOI	10.1016/j.radcr.2023.11.031
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Article ; Online: Ultra-High-Frequency Ultrasound: A Modern Diagnostic Technique for Studying Melanoma.

Reginelli, Alfonso / Russo, Anna / Berritto, Daniela / Patane, Vittorio / Cantisani, Carmen / Grassi, Roberto

Ultraschall in der Medizin (Stuttgart, Germany : 1980)

2023 Volume 44, Issue 4, Page(s) 360–378

Abstract: The development of new ultra-high-frequency devices with a resolution of 30 μm makes it possible to use ultrasound in the study of new small anatomical units and to apply this tool to new fields of pathology. Cutaneous melanoma is a severe skin disease ... ...

Title translation	Ultrahochfrequenz-Ultraschall: Eine moderne Diagnosetechnik zur Untersuchung von Melanomen.
Abstract	The development of new ultra-high-frequency devices with a resolution of 30 μm makes it possible to use ultrasound in the study of new small anatomical units and to apply this tool to new fields of pathology. Cutaneous melanoma is a severe skin disease with an incidence of approximately 160 000 new cases each year and 48 000 deaths. In this paper, we evaluate the role of HFUS in the diagnosis of cutaneous melanoma, describe the sonographic appearance of skin layers in the pre-excision phase as well as of lesion features, and correlate the characteristics with pathological examination.
MeSH term(s)	Humans ; Melanoma/diagnostic imaging ; Melanoma/pathology ; Melanoma/surgery ; Skin Neoplasms/diagnostic imaging ; Skin Neoplasms/pathology ; Ultrasonography/methods ; Melanoma, Cutaneous Malignant
Language	German
Publishing date	2023-04-17
Publishing country	Germany
Document type	Journal Article
ZDB-ID	801064-x
ISSN	1438-8782 ; 1439-0914 ; 1431-4894 ; 0172-4614
ISSN (online)	1438-8782
ISSN	1439-0914 ; 1431-4894 ; 0172-4614
DOI	10.1055/a-2028-6182
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Article: Conventional Radiology Evaluation of Neonatal Intravascular Devices (NIVDs): A Case Series.

Russo, Anna / Patanè, Vittorio / Faggioni, Lorenzo / Pinto, Alessandro / Fusco, Luigia / Urraro, Fabrizio / Neri, Emanuele / Reginelli, Alfonso

Diagnostics (Basel, Switzerland)

2024 Volume 14, Issue 2

Abstract: Our radiology department conducted an assessment of 300 neonatal radiographs in the neonatal intensive care unit over almost two years. The purpose was to evaluate the correct positioning of intravascular venous catheters. Our case series revealed that ... ...

Abstract	Our radiology department conducted an assessment of 300 neonatal radiographs in the neonatal intensive care unit over almost two years. The purpose was to evaluate the correct positioning of intravascular venous catheters. Our case series revealed that out of a total of 95 cases with misplaced devices, 59 were umbilical venous catheters and 36 were peripherally inserted central catheters. However, all of the central venous catheters were found to be properly positioned. Misplacements of neonatal intravascular devices were found to occur more frequently than expected. The scientific literature contains several articles highlighting the potential complications associated with misplaced devices. Our goal is to highlight the potential misplacements and associated complications that radiologists may encounter while reviewing conventional radiology imaging. Based on our experience, which primarily involved placing UVCs and PICCs, we discovered that conventional radiology is the most effective method for assessing proper device placement with the lowest possible radiation exposure. Given the high number of neonatal vascular device placement procedures, it is essential for radiologists to maintain a high level of vigilance and stay updated on the latest developments in this field.
Language	English
Publishing date	2024-01-10
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2662336-5
ISSN	2075-4418
ISSN	2075-4418
DOI	10.3390/diagnostics14020157
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Article ; Online: Coronavirus covid-19 detection by means of explainable deep learning.

Mercaldo, Francesco / Belfiore, Maria Paola / Reginelli, Alfonso / Brunese, Luca / Santone, Antonella

Scientific reports

2023 Volume 13, Issue 1, Page(s) 462

Abstract: The coronavirus is caused by the infection of the SARS-CoV-2 virus: it represents a complex and new condition, considering that until the end of December 2019 this virus was totally unknown to the international scientific community. The clinical ... ...

Abstract	The coronavirus is caused by the infection of the SARS-CoV-2 virus: it represents a complex and new condition, considering that until the end of December 2019 this virus was totally unknown to the international scientific community. The clinical management of patients with the coronavirus disease has undergone an evolution over the months, thanks to the increasing knowledge of the virus, symptoms and efficacy of the various therapies. Currently, however, there is no specific therapy for SARS-CoV-2 virus, know also as Coronavirus disease 19, and treatment is based on the symptoms of the patient taking into account the overall clinical picture. Furthermore, the test to identify whether a patient is affected by the virus is generally performed on sputum and the result is generally available within a few hours or days. Researches previously found that the biomedical imaging analysis is able to show signs of pneumonia. For this reason in this paper, with the aim of providing a fully automatic and faster diagnosis, we design and implement a method adopting deep learning for the novel coronavirus disease detection, starting from computed tomography medical images. The proposed approach is aimed to detect whether a computed tomography medical images is related to an healthy patient, to a patient with a pulmonary disease or to a patient affected with Coronavirus disease 19. In case the patient is marked by the proposed method as affected by the Coronavirus disease 19, the areas symptomatic of the Coronavirus disease 19 infection are automatically highlighted in the computed tomography medical images. We perform an experimental analysis to empirically demonstrate the effectiveness of the proposed approach, by considering medical images belonging from different institutions, with an average time for Coronavirus disease 19 detection of approximately 8.9 s and an accuracy equal to 0.95.
MeSH term(s)	Humans ; COVID-19/diagnosis ; SARS-CoV-2 ; Deep Learning ; Pneumonia ; Lung Diseases
Language	English
Publishing date	2023-01-10
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-27697-y
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Article ; Online: Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays.

Brunese, Luca / Mercaldo, Francesco / Reginelli, Alfonso / Santone, Antonella

Computer methods and programs in biomedicine

2020 Volume 196, Page(s) 105608

Abstract: Background and objective: Coronavirus disease (COVID-19) is an infectious disease caused by a new virus never identified before in humans. This virus causes respiratory disease (for instance, flu) with symptoms such as cough, fever and, in severe cases, ...

Abstract	Background and objective: Coronavirus disease (COVID-19) is an infectious disease caused by a new virus never identified before in humans. This virus causes respiratory disease (for instance, flu) with symptoms such as cough, fever and, in severe cases, pneumonia. The test to detect the presence of this virus in humans is performed on sputum or blood samples and the outcome is generally available within a few hours or, at most, days. Analysing biomedical imaging the patient shows signs of pneumonia. In this paper, with the aim of providing a fully automatic and faster diagnosis, we propose the adoption of deep learning for COVID-19 detection from X-rays. Method: In particular, we propose an approach composed by three phases: the first one to detect if in a chest X-ray there is the presence of a pneumonia. The second one to discern between COVID-19 and pneumonia. The last step is aimed to localise the areas in the X-ray symptomatic of the COVID-19 presence. Results and conclusion: Experimental analysis on 6,523 chest X-rays belonging to different institutions demonstrated the effectiveness of the proposed approach, with an average time for COVID-19 detection of approximately 2.5 seconds and an average accuracy equal to 0.97.
MeSH term(s)	Algorithms ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/diagnostic imaging ; Deep Learning ; Humans ; Image Processing, Computer-Assisted/methods ; Lung Diseases/diagnostic imaging ; Neural Networks, Computer ; Pandemics ; Pneumonia, Viral/diagnostic imaging ; Radiographic Image Interpretation, Computer-Assisted/methods ; Radiography, Thoracic/methods ; Reproducibility of Results ; SARS-CoV-2 ; X-Rays
Keywords	covid19
Language	English
Publishing date	2020-06-20
Publishing country	Ireland
Document type	Journal Article
ZDB-ID	632564-6
ISSN	1872-7565 ; 0169-2607
ISSN (online)	1872-7565
ISSN	0169-2607
DOI	10.1016/j.cmpb.2020.105608
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Article ; Online: Radiomics for Gleason Score Detection through Deep Learning.

Brunese, Luca / Mercaldo, Francesco / Reginelli, Alfonso / Santone, Antonella

Sensors (Basel, Switzerland)

2020 Volume 20, Issue 18

Abstract: Prostate cancer is classified into different stages, each stage is related to a different Gleason score. The labeling of a diagnosed prostate cancer is a task usually performed by radiologists. In this paper we propose a deep architecture, based on ... ...

Abstract	Prostate cancer is classified into different stages, each stage is related to a different Gleason score. The labeling of a diagnosed prostate cancer is a task usually performed by radiologists. In this paper we propose a deep architecture, based on several convolutional layers, aimed to automatically assign the Gleason score to Magnetic Resonance Imaging (MRI) under analysis. We exploit a set of 71 radiomic features belonging to five categories: First Order, Shape, Gray Level Co-occurrence Matrix, Gray Level Run Length Matrix and Gray Level Size Zone Matrix. The radiomic features are gathered directly from segmented MRIs using two free-available dataset for research purpose obtained from different institutions. The results, obtained in terms of accuracy, are promising: they are ranging between 0.96 and 0.98 for Gleason score prediction.
MeSH term(s)	Deep Learning ; Humans ; Magnetic Resonance Imaging ; Male ; Neoplasm Grading ; Prostatic Neoplasms/diagnostic imaging
Keywords	covid19
Language	English
Publishing date	2020-09-21
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s20185411
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Article ; Online: The use of 3D printing model as tool for planning endoscopic treatment of benign airway stenosis.

Natale, Giovanni / Reginelli, Alfonso / Testa, Domenico / Motta, Gaetano / Fang, Vincent / Santini, Mario / Fiorelli, Alfonso

Translational cancer research

2022 Volume 9, Issue 3, Page(s) 2117–2122

Abstract: Benign tracheal stenosis is a life-threatening condition that needs a prompt treatment when the tracheal lumen is less than 5 mm. In patients unfit for surgery, endoscopic dilation with stent insertion (if indicated) remains the main alternative to ... ...

Abstract	Benign tracheal stenosis is a life-threatening condition that needs a prompt treatment when the tracheal lumen is less than 5 mm. In patients unfit for surgery, endoscopic dilation with stent insertion (if indicated) remains the main alternative to restore airway patency and assure ventilation. Endoscopic management of tracheal stenosis may be a cumbersome procedure, that sometimes takes a long time, and may be complicated by stent dislocation especially in cases of complex stenosis, near to vocal folds. In recent years, the 3D printing industry has undergone rapid development, and 3D printing model has been increasingly applied to different medical fields where therapeutic interventions rely on deﬁning complex anatomic structural relationships. Thus, in this review we aimed to evaluate whether the use of 3D printing model as tool for preoperative planning could facilitate the endoscopic treatment of tracheal stenosis and improve outcome. Three papers evaluated this issue: one paper reported a consecutive series of patients while the remaining single case report. All authors concluded that the 3D model aided the understanding of patient's anatomy and the stenosis's characteristic. The possibility of recreating the endoscopic procedure in the 3D model facilitated and shorted the procedural time in live patient. Furthermore, the 3D model was additionally useful to choose the length, diameter and shape of stent and to define the exact distance of the proximal end of stent from the vocal folds after its insertion. Finally, it represented an educational tool for patients and his/her family to understand the procedure, and for residents and fellows to improve endoscopic skills.
Language	English
Publishing date	2022-01-15
Publishing country	China
Document type	Journal Article ; Review
ZDB-ID	2901601-0
ISSN	2219-6803 ; 2218-676X
ISSN (online)	2219-6803
ISSN	2218-676X
DOI	10.21037/tcr.2020.01.22
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