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417 results on '"Cazzaniga, Simone"'

4. Positron emission tomography–computed tomography vs. brain magnetic resonance imaging for the detection of cerebral metastases of melanoma: a 5-year retrospective study.

Author

Tutic-Sorrentino, Lisa, Cazzaniga, Simone, Feldmeyer, Laurence, and Benzaquen, Michael

Subjects
*MAGNETIC resonance imaging, *POSITRON emission tomography, *POSITRON emission tomography computed tomography, *BRAIN tomography, *CANCER patients
Abstract

Background Patients with melanoma present a high risk of developing extracutaneous metastases. Positron emission tomography–-computed tomography (PET-CT) is one of the preferred examinations for the staging of oncological patients. It is not the method of choice to detect brain metastases, but this technique has shown significant improvement and allows the detection of some of them. However, it is unclear how it performs compared with magnetic resonance imaging (MRI), the current gold standard for diagnosing brain metastases. Objectives To compare the accuracy of PET-CT and cerebral MRI to detect brain metastases in patients with melanoma. Methods We retrospectively included all patients diagnosed with melanoma stage IIC–IV (American Joint Committee on Cancer 8th Edition, 2017) who presented at the skin tumour board of the University Hospital of Bern between January 2018 and December 2022. All radiological reports extracted from the patient management system were analysed to assess discrepancy between the visibility of brain metastases on PET-CT and brain MRI. Results In this study including 393 patients, brain MRI demonstrated significantly better performance than PET-CT in detecting brain metastases. In 47 patients, cerebral metastases were detected completely, detected partially, or not detected by PET-CT in 2 (4%), 15 (32%) and 30 (64%), respectively. Conclusions Despite the increasing performance of PET-CT, this study highlights the crucial role of brain MRI, which remains the gold standard to detect cerebral metastases. Brain MRI should be performed in patients with high-risk melanoma from stage IIC to exclude brain metastases. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Incidence rates of hospitalization and death from COVID-19 in patients with psoriasis receiving biological treatment: A Northern Italy experience

Author

Sacchelli, Lidia, Pezzolo, Elena, Messina, Francesco, Lasagni, Claudia, Bigi, Laura, Cattaneo, Angelo, Giovanni Carrera, Carlo, Arancio, Luisa, Ribero, Simone, Rozzo, Giulia, Damiani, Giovanni, Facheris, Paola, Gisondi, Paolo, Piaserico, Stefano, Naldi, Luigi, Dapavo, Paolo, Conti, Andrea, Malagoli, Piergiorgio, Marzano, Angelo Valerio, Bardazzi, Federico, Gasperini, Massimo, Cazzaniga, Simone, and Costanzo, Antonio

Published
2021
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13. Comparison of Perceptions of Skin Condition, Product Use and Allergen Reactivity Between People with Psoriasis and Controls in the European Dermato-Epidemiology Network (EDEN) Fragrance Study

Author

Cassalia, Fortunato, primary, Cazzaniga, Simone, additional, Ofenloch, Robert, additional, Elsner, Peter, additional, Gonçalo, Margarida, additional, Schuttelaar, Marie-Louise, additional, Svensson, Åke, additional, Pezzolo, Elena, additional, Bruze, Magnus, additional, and Naldi, Luigi, additional

Published
2024
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14. Dupilumab‐associated ocular surface disease is characterized by a shift from Th2/Th17 toward Th1/Th17 inflammation

Author

Thormann, Kathrin, primary, Lüthi, Anne‐Sophie, additional, Deniau, Felix, additional, Heider, Anja, additional, Cazzaniga, Simone, additional, Radonjic‐Hoesli, Susanne, additional, Lehmann, Mathias, additional, Schlapbach, Christoph, additional, Herzog, Elio L., additional, Kreuzer, Marco, additional, Zinkernagel, Martin S., additional, Akdis, Cezmi A., additional, Zysset‐Burri, Denise C., additional, Simon, Hans‐Uwe, additional, and Simon, Dagmar, additional

Published
2024
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15. Evaluation of a Semi-Automated Wound-Halving Algorithm for Split-Wound Design Studies: A Step towards Enhanced Wound-Healing Assessment.

Author

Georg, Paul Julius, Schmid, Meret Emily, Zahia, Sofia, Probst, Sebastian, Cazzaniga, Simone, Hunger, Robert, and Bossart, Simon

Subjects
WOUND care, LEG ulcers, PATIENT selection, EXPERIMENTAL design, ALGORITHMS, WOUND nursing
Abstract

Background: Chronic leg ulcers present a global challenge in healthcare, necessitating precise wound measurement for effective treatment evaluation. This study is the first to validate the "split-wound design" approach for wound studies using objective measures. We further improved this relatively new approach and combined it with a semi-automated wound measurement algorithm. Method: The algorithm is capable of plotting an objective halving line that is calculated by splitting the bounding box of the wound surface along the longest side. To evaluate this algorithm, we compared the accuracy of the subjective wound halving of manual operators of different backgrounds with the algorithm-generated halving line and the ground truth, in two separate rounds. Results: The median absolute deviation (MAD) from the ground truth of the manual wound halving was 2% and 3% in the first and second round, respectively. On the other hand, the algorithm-generated halving line showed a significantly lower deviation from the ground truth (MAD = 0.3%, p < 0.001). Conclusions: The data suggest that this wound-halving algorithm is suitable and reliable for conducting wound studies. This innovative combination of a semi-automated algorithm paired with a unique study design offers several advantages, including reduced patient recruitment needs, accelerated study planning, and cost savings, thereby expediting evidence generation in the field of wound care. Our findings highlight a promising path forward for improving wound research and clinical practice. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Melanoma detection: Evaluating the classification performance of a deep convolutional neural network and dermatologist assessment via a mobile app in an Italian real‐world setting.

Author

Cassalia, Fortunato, Han, Seung Seog, Cazzaniga, Simone, and Naldi, Luigi

Subjects
CONVOLUTIONAL neural networks, RANK correlation (Statistics), CONSCIOUSNESS raising, ADULT education, ARTIFICIAL intelligence
Abstract

This article discusses the use of a deep convolutional neural network (CNN) and dermatologist assessment via a mobile app for the detection of melanoma in an Italian real-world setting. The study evaluated the concordance between the CNN model and assessments by dermatologists. The CNN algorithm showed a global performance of 0.67 in terms of the area under the curve (AUC), indicating acceptable diagnostic accuracy. However, the overall concordance between the algorithm and dermatologist assessments was less than satisfactory. The article emphasizes that AI currently serves as a complement rather than a replacement for healthcare professionals' expertise. [Extracted from the article]

Published
2024
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25. Sunburn-related variables, secular trends of improved sun protection and short-term impact on sun attitude behavior in Italian primary schoolchildren: Analysis of the educational campaign “Il Sole Amico” (“The sun as a friend”)

Author

Stanganelli, Ignazio, Naldi, Luigi, Cazzaniga, Simone, Gandini, Sara, Magi, Serena, Quaglino, Pietro, Ribero, Simone, Simonacci, Marco, Pizzichetta, Maria Antonietta, Spagnolo, Francesco, Palmieri, Giuseppe, and Queirolo, Paola

Published
2020
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30. Palmoplantar Pustulosis: A Systematic Review of Risk Factors and Therapies

Author

Heidemeyer,Kristine, May Lee,Marco, Cazzaniga,Simone, Yawalkar,Nikhil, Naldi,Luigi, Heidemeyer,Kristine, May Lee,Marco, Cazzaniga,Simone, Yawalkar,Nikhil, and Naldi,Luigi

Abstract

Kristine Heidemeyer,1,2 Marco May Lee,3 Simone Cazzaniga,1,2 Nikhil Yawalkar,1 Luigi Naldi2,4 1Department of Dermatology, Inselspital University Hospital of Bern, Bern, Switzerland; 2Centro Studi GISED, Bergamo, Italy; 3Section of Dermatology, Department of Clinical and Experimental Medicine, University of Parma, Parma, Italy; 4Dermatology Department, S. Bortolo Hospital, Vicenza, ItalyCorrespondence: Kristine Heidemeyer, Department of Dermatology, Inselspital University Hospital of Bern, Freiburgstrasse 34, Bern, CH-3010, Switzerland, Tel +41 31 632 20 94, Email kristine.heidemeyer@insel.chAbstract: Palmoplantar pustulosis (PPP) is a chronic, relapsing, inflammatory disease that can occur alone or in association with arthritis. There is still controversy about whether it should be separated from psoriasis or classified as pustular psoriasis. Furthermore, drug-induced paradoxical PPP is a special variant of PPP that differs from classic PPP in several ways. Treatment of PPP is still challenging, and there are a number of treatment-resistant cases. This review summarizes the risk factors for the development of PPP and the currently available treatment modalities. Female sex, smokers or ex-smokers, obesity, thyroid dysfunction, and treatment with a tumor necrosis factor (TNF)-α inhibitor have been identified as risk factors for the disease’s development, severity, and course. Topical treatments and phototherapy are effective for some patients and are used as a first-line or adjuvant treatment modality. Conventional treatments including retinoids and fumaric acid show good effects and can increase the efficacy of treatment with psoralen + ultraviolet light therapy (PUVA). Ciclosporin is fast acting, but relapse mostly occurs immediately after cessation. TNF-α inhibitors are efficient, and an even better response can be achieved with IL-17 and IL-23 blockers as well as apremilast. The effect of Janus kinase inhibitors seems to be promising according to case reports

Published
2023

31. Agreement on classification of clinical photographs of pigmentary lesions: Exercise after a training course with young dermatologists

Author

Cazzaniga, S, De Ponti, L, Baratelli, G, Francione, S, La Vecchia, C, Di Landro, A, Carugno, A, Di Mercurio, M, Germi, L, Trevisan, G, Fenaroli, M, Capasso, C, Pezza, M, Dri, P, Castelli, E, Naldi, L, Cazzaniga, Simone, De Ponti, Lucia, Baratelli, Giorgio Maria, Francione, Salvatore, La Vecchia, Carlo, Di Landro, Anna, Carugno, Andrea, Di Mercurio, Marco, Germi, Lerica, Trevisan, Giampaolo, Fenaroli, Mirko, Capasso, Claudia, Pezza, Michele, Dri, Pietro, Castelli, Emanuele, Naldi, Luigi, Cazzaniga, S, De Ponti, L, Baratelli, G, Francione, S, La Vecchia, C, Di Landro, A, Carugno, A, Di Mercurio, M, Germi, L, Trevisan, G, Fenaroli, M, Capasso, C, Pezza, M, Dri, P, Castelli, E, Naldi, L, Cazzaniga, Simone, De Ponti, Lucia, Baratelli, Giorgio Maria, Francione, Salvatore, La Vecchia, Carlo, Di Landro, Anna, Carugno, Andrea, Di Mercurio, Marco, Germi, Lerica, Trevisan, Giampaolo, Fenaroli, Mirko, Capasso, Claudia, Pezza, Michele, Dri, Pietro, Castelli, Emanuele, and Naldi, Luigi

Abstract

Smartphone apps may help promoting the early diagnosis of melanoma. The reliability of specialist judgment on lesions should be assessed. Hereby, we evaluated the agreement of 6 young dermatologists, after a specific training. Clinical judgment was evaluated during 2 online sessions, 1 month apart, on a series of 45 pigmentary lesions. Lesions were classified as highly suspicious, suspicious, non-suspicious or not assessable. Cohen s and Fleiss kappa were used to calculate intra-and inter-rater agreement. The overall intra-rater agreement was 0.42 (95% confidence interval-CI: 0.33-0.50), varying between 0.12-0.59 on single raters. The inter-rater agreement during the first phase was 0.29 (95% CI: 0.24-0.34). When considering the agreement for each category of judgment, kappa varied from 0.19 for not assessable to 0.48 for highly suspicious lesions. Similar results were obtained in the second exercise. The study showed a less than satisfactory agreement among young dermatologists. Our data point to the need for improving the reliability of the clinical diagnoses of melanoma especially when assessing small lesions and when dealing with thin melanomas at a population level.

Published
2023

37. Skin hyperpigmentation index in melasma: A complementary method to classic scoring systems

Author

Heidemeyer, Kristine, Cazzaniga, Simone, Feldmeyer, Laurence, Imstepf, Valentina, Adatto, Maurice, Lehmann, Matthias, Rammlmair, Anna, Pelloni, Lorenzo, Jafari, S Morteza Seyed, and Bossart, Simon

Subjects
610 Medicine & health
Abstract

BACKGROUND Due to relapsing nature of melasma with significant impact on quality of life, an objective measurement score is warranted, especially to follow-up the patients with melasma and their therapy response in a quantitative and precise manner. AIMS To prove concordance of skin hyperpigmentation index (SHI) with well-established scores in melasma and demonstrate its superiority regarding inter-rater reliability. Development of SHI mapping for its integration in common scores. METHODS Calculation of SHI and common melasma scores by five dermatologists. Inter-rater reliability was assessed by intraclass correlation coefficient (ICC) and concordance by Kendall correlation coefficient. RESULTS Strong concordance of SHI with melasma area and severity index (MASI)-Darkness (0.48; 95% CI: 0.32, 0.63), melasma severity index (MSI)-Pigmentation (0.45; 95% CI: 0.26, 0.61), and melasma severity scale (MSS) (0.6; 95% CI: 0.42, 0.74). Using step function for mapping SHI into pigmentation scores showed an improvement of inter-rater reliability with a difference in (ICC of 0.22 for MASI-Darkness and 0.19 for MSI-Pigmentation), leading to an excellent agreement. CONCLUSION Skin hyperpigmentation index could be an important additional cost-and time-conserving assessment method, to follow-up the patients with melasma undergoing brightening therapies in clinical studies, as well as in routine clinical practice. It is in strong concordance with well-established scores but superior regarding inter-rater reliability.

Published
2023
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38. Variables associated with joint involvement and development of a prediction rule for arthritis in psoriasis patients. An analysis of the Italian PsoReal database

Author

Heidemeyer, Kristine, Cazzaniga, Simone, Dondi, Letizia, Ronconi, Giulia, Pedrini, Antonella, Bellatreccia, Andrea, Zhong, Yichen, Martini, Nello, and Naldi, Luigi

Subjects
610 Medicine & health
Abstract

BACKGROUND Limited data exist to predict the development of psoriatic arthritis (PsA) in psoriasis (PsO) patients OBJECTIVE: To analyze factors associated with incident PsA in PsO patients, and to develop a predictive algorithm for progression to arthritis using a full set of variables and a restricted one applicable to administrative data. METHODS Cohort study within the PsoReal registry in Italy. Multivariable generalized linear models were used to assess factors associated with PsA and to derive a predictive model. RESULTS Among 8895 patients, 226 PsA cases were identified (incidence 1.9 per 100 patient-years). Independent predictors in the full model were: female sex, age 40-59 years, BMI≥25, chronic-plaque PsO features, presence of palmoplantar pustulosis, hospitalization for PsO in the last 5 years, and previous use of systemic PsO therapy, area under the curve of Receiver Operating Characteristics curve (AUC-ROC) = 0.74. Female sex, age 40-59 years, hospitalization for PsO, previous use of systemic PsO therapy were independent predictors in the restricted model, AUC-ROC = 0.72. LIMITATIONS Lack of other potential predictors for PsA. CONCLUSION Our models could be used by clinicians and health authorities when planning intervention and population surveillance. Future studies should confirm our models using larger datasets and additional variables.

Published
2023
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48. Agreement on classification of clinical photographs of pigmentary lesions: Exercise after a training course with young dermatologists

Author

Cazzaniga, Simone, primary, De Ponti, Lucia, additional, Baratelli, Giorgio Maria, additional, Francione, Salvatore, additional, La Vecchia, Carlo, additional, Di Landro, Anna, additional, Carugno, Andrea, additional, Di Mercurio, Marco, additional, Germi, Lerica, additional, Trevisan, Giampaolo, additional, Fenaroli, Mirko, additional, Capasso, Claudia, additional, Pezza, Michele, additional, Dri, Pietro, additional, Castelli, Emanuele, additional, and Naldi, Luigi, additional

Published
2022
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50. Family history, body mass index, selected dietary factors, menstrual history, and risk of moderate to severe acne in adolescents and young adults

Author

Di Landro, Anna, Cazzaniga, Simone, Parazzini, Fabio, Ingordo, Vito, Cusano, Francesco, Atzori, Laura, Cutrì, Francesco Tripodi, Musumeci, Maria Letizia, Zinetti, Cornelia, Pezzarossa, Enrico, Bettoli, Vincenzo, Caproni, Marzia, Lo Scocco, Giovanni, Bonci, Angela, Bencini, Pierluca, and Naldi, Luigi

Published
2012
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