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Melanoma: HELP
Articles by Gabriele Cevenini
Based on 9 articles published since 2010
(Why 9 articles?)
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Between 2010 and 2020, G. Cevenini wrote the following 9 articles about Melanoma.
 
+ Citations + Abstracts
1 Article Impact of clinical and personal data in the dermoscopic differentiation between early melanoma and atypical nevi. 2018

Tognetti, Linda / Cinotti, Elisa / Moscarella, Elvira / Farnetani, Francesca / Malvehy, Josep / Lallas, Aimilios / Pellacani, Giovanni / Argenziano, Giuseppe / Cevenini, Gabriele / Rubegni, Pietro. ·Dermatology Division, Department of Medical, Surgical and NeuroSciences, University of Siena, Siena, Italy. · Department of Medical Biotechnologies, University of Siena, Siena, Italy. · Skin Cancer Unit, Arcispedale Santa Maria Nuova, IRCCS, Reggio Emilia, Italy. · Dermatology Unit, University of Campania, Naples, Italy. · Department of Dermatology, University of Modena and Reggio Emilia, Modena Italy. · Melanoma Unit, Department of Dermatology, University of Barcelona, Barcelona, Spain. · First Department of Dermatology, Aristotele University, Thessaloniki, Greece. ·Dermatol Pract Concept · Pubmed #30479866.

ABSTRACT: Background: Differential diagnosis of clinically atypical nevi (aN) and early melanomas (eMM) still represents a challenge even for experienced dermoscopists, as dermoscopy alone is not sufficient to adequately differentiate these equivocal melanocytic skin lesions (MSLs). Objectives: The objectives of this study were to investigate what were the most relevant parameters for noninvasive differential diagnosis between eMM and aN among clinical, personal, and dermoscopic data and to evaluate their impact as risk factors for malignancy. Methods: This was a retrospective study performed on 450 MSLs excised from 2014 to 2016 with a suspicion of malignancy. Dermoscopic standardized images of the 450 MSLs (300 aN and 150 eMM) were collected and evaluated. Patients' personal data (ie, age, gender, body site, maximum diameter) were also recorded. Dermoscopic evaluations were performed by 5 different experts in dermoscopy blinded to histopathological diagnosis. Fleiss' κ was calculated to measure concordance level between experts in the description of dermoscopic parameters for each MSL. The power of the studied variables in discriminating malignant from benign lesions was also investigated through F-statistics. Results: The variables age and maximum diameter supplied the highest discriminant power ( Conclusions: The objective clinical and personal data collected here could supply a fundamental contribution in the correct diagnosis of equivocal MSLs and should be included in diagnostic algorithms along with significant dermoscopic features (ie, atypical network, blue-white veil, and shiny white streaks).

2 Article An integrated clinical-dermoscopic risk scoring system for the differentiation between early melanoma and atypical nevi: the iDScore. 2018

Tognetti, L / Cevenini, G / Moscarella, E / Cinotti, E / Farnetani, F / Mahlvey, J / Perrot, J L / Longo, C / Pellacani, G / Argenziano, G / Fimiani, M / Rubegni, P. ·Dermatology Unit, Department of Medical, Surgical and NeuroSciences, University of Siena, Siena, Italy. · Department of Medical Biotechnologies, University of Siena, Siena, Italy. · Dermatology Unit, University of Campania, Naples, Italy. · Skin Cancer Unit Arcispedale S. Maria Nuova-IRCCS, Reggio Emilia, Italy. · Department of Dermatology, University of Modena and Reggio Emilia, Modena, Italy. · Melanoma Unit, Department of Dermatology, University of Barcelona, Barcelona, Spain. · Dermatology Unit, University Hospital of St-Etienne, Saint Etienne, France. ·J Eur Acad Dermatol Venereol · Pubmed #29888421.

ABSTRACT: BACKGROUND: Dermoscopy revealed to be extremely useful in the diagnosis of early melanoma, the most important limitation being its subjectivity in giving a final diagnosis. To overcome this problem, several algorithms and checklists have been proposed. However, they generally demonstrated modest level of diagnostic accuracy, unsatisfactory concordance between dermoscopists and/or poor specificity. OBJECTIVE: To test a new methodological approach for the differentiation between early melanoma and atypical nevi, based on an integrated clinical-anamnestic dermoscopic risk scoring system (iDScore). METHODS: We selected a total of 435 standardized dermoscopic images of clinically atypical melanocytic skin lesion (MSL) excised in the suspect of malignancy (i.e. 134 early melanomas - MM - and 301 atypical nevi). Data concerning patient age and sex and lesion dimension and site were collected. A scoring classifier was designed based on this data set integrated with the dermoscopic evaluations performed by three experts blinded to histological diagnosis. RESULTS: A total of seven dermoscopic structures, three age groups (30-40 years, 41-60 years and >60 years), two maximum diameter categories (5-10 mm and >10 mm) and three body areas (i.e. frequently, chronically and seldom photoexposed sites) were selected by the scoring classifier as interdependently significant variables. The total risk score (S) of a lesion resulted from the simple sum of partial scores assigned to each selected variable. The iDScore-aided diagnosis showed an high accuracy (receiver operating characteristic-area under the curve = 0.903; IC: 95% = 0.887-0.918). A risk-based criticality scale corresponding to different S ranges was proposed. CONCLUSION: The iDScore checklist is proposed as a feasible and efficient tool to support dermatologists in non-invasive differentiation between atypical nevi and early MM on the basis of few selected clinical-anamnestic data and standardized dermoscopic features.

3 Article A risk scoring system for the differentiation between melanoma with regression and regressing nevi. 2016

Rubegni, P / Tognetti, L / Argenziano, G / Nami, N / Brancaccio, G / Cinotti, E / Miracco, C / Fimiani, M / Cevenini, G. ·Dermatology Unit, Department of Medical, Surgical and Neurosciences, University of Siena, AOUS "Le Scotte", Siena, Italy. · Dermatology Unit, Department of Medical, Surgical and Neurosciences, University of Siena, AOUS "Le Scotte", Siena, Italy. Electronic address: linda.tognetti@gmail.com. · Dermatology Unit, Department of Mental and Physic Health and Preventive Medicine, Second University of Naples, Naples, Italy. · Dermatology Department-University Hospital of Saint-Etienne, Saint-Etienne, France. · Section of Human Patology, University of Siena, Siena, Italy. · Department of Medical Biotechnologies, University of Siena, Siena, Italy. ·J Dermatol Sci · Pubmed #27157925.

ABSTRACT: BACKGROUND: Spontaneous regression of melanomas is relatively common, its prevalence ranging from 10 to 35%. However, regressing nevi can exhibit worrisome feature and simulate melanoma both clinically and dermoscopically. Thus, the presence of regression can represent a confounding factor. OBJECTIVE: To investigate the frequency of dermoscopic patterns of "regression" in a series of benign and malignant melanocytic skin lesions, and to design an integrated scoring system. Scoring classifiers are very effective in selecting the significant parameters for discriminating two clinical conditions, thus can rapidly calculate a patient's risk for a given disease. METHODS: We selected a series of 95 regressing melanocytic lesions, including 50 regressing nevi and 45 melanomas with regression. For each lesion, 12 dermoscopic variables (i.e. five types of regression structures, five atypical pigmentation structures, atypical vascular pattern and pink areas) were examined by three expert in dermoscopy (blinded to the histological diagnosis). The dermoscopic evaluation was then combined with patient age, gender, body site and the maximum diameter of lesion. Concordance analysis with Cohen's kappa was performed between the three clinicians. A risk scoring system was designed by the leave-one-out cross-validation procedure to ensure model prediction power. RESULTS: The predictive score model revealed a sensitivity of 97.8% and a specificity of 75.5% in discriminating nevi and melanomas with regression. Using the score model, the diagnostic performance of the examiners increased by an average of 23.7% in sensitivity and 5.9% in specificity, compared with standard dermoscopic pattern analysis. CONCLUSIONS: We assessed the validity of an integrated risk scoring model as a new methodological approach that could help the dermatologist in the differentiation between melanoma with regression and regressing nevus. Future studies could test the setting up of a score model over an even more complex pool of data obtained from different skin lesions with various diagnostic devices.

4 Article Computer-assisted melanoma diagnosis: a new integrated system. 2015

Rubegni, Pietro / Feci, Luca / Nami, Niccolò / Burroni, Marco / Taddeucci, Paolo / Miracco, Clelia / Munezero Butorano, Marie A G / Fimiani, Michele / Cevenini, Gabriele. ·aDepartment of Medical, Surgical and Neurological Science, Dermatology Section, Siena University Hospital bDepartment of Medicine, Surgery and Neurosurgery, Section of Pathological Anatomy, Policlinico Santa Maria alle Scotte cDepartment of Medical Biotechnologies, University of Siena, Siena, Italy. ·Melanoma Res · Pubmed #26426763.

ABSTRACT: In dermatology, attempts at synergy between man and machine have mainly been made to improve melanoma diagnosis. The aim of the present study was to test an 'integrated digital dermoscopy analysis' (i-DDA) system with a series of melanocytic lesions that were benign and malignant in nature, and to evaluate its discriminating power with respect to histological diagnosis. In a retrospective study we used an i-DDA system to evaluate a series of 856 excised, clinically atypical pigmented skin lesions (584 benign and 272 malignant). The system evaluated 48 parameters to be studied as possible discriminant variables, grouped into four categories (geometries, colours, textures and islands of colour) integrated with three personal metadata items (sex, age and site of lesion) and presence/absence of three dermoscopic patterns (regression structures, blue-white veil and polymorphic vascular structures). Stepwise multivariate logistic regression of i-DDA data selected nine variables with the highest possible discriminant power. At the end of the stepwise procedure the percentage of cases correctly classified by i-DDA was 89.2% (100% sensitivity and 40.8% specificity). The limitations of the study included those associated with a retrospective design and the 'a priori' exclusion of nonmelanocytic skin lesions. By incorporating numerical digital features with personal data and some dermoscopic patterns into the learning process, the proposed i-DDA improved the performance of assisted melanoma diagnosis, with the advantage that our results can be objectively repeated in any other clinical setting.

5 Article Dermoscopy and digital dermoscopy analysis of palmoplantar 'equivocal' pigmented skin lesions in Caucasians. 2012

Rubegni, P / Cevenini, G / Nami, N / Argenziano, G / Saida, T / Burroni, M / Bono, R / Quaglino, P / Barbini, P / Miracco, C / Lamberti, A / Fimiani, M. ·Dermatology Section, Department of Clinical Medicine and Immunological Science, University of Siena, Siena, Italy. rubegni@unisi.it ·Dermatology · Pubmed #23182753.

ABSTRACT: BACKGROUND/AIM: The diagnosis of palmoplantar melanoma is often delayed and misdiagnosis is common, due to frequently unusual clinical presentation. We used a digital dermoscopy analyzer with a series of palmoplantar pigmented skin lesions (PP-PSL), and we compared sensitivity, specificity and diagnostic accuracy obtained with digital dermoscopy analysis (DDA) and classical dermoscopy. METHODS: Digital dermoscopy images of 107 PP-PSL were retrospectively obtained from the database of images of 3 Italian centers. The lesions (25 melanomas and 82 nevi) were all removed because of the presence of clinical and/or dermoscopic suspicious features. All digital images were analyzed using appropriate algorithms, and the diagnostic accuracy of the model was calculated. For comparison, dermoscopic images were clinically evaluated by two dermatologists and the Cohen ĸ concordance with DDA was calculated. RESULTS: The stepwise logistic regression analysis selected only 5 parameters out of 49. The logistic model achieved a sensitivity of 96% and a specificity of 87.8%. The Cohen ĸ concordance, evaluated by the Landis and Koch scale, supplied a substantial agreement between dermoscopy and DDA. CONCLUSIONS: DDA might be a useful diagnostic instrument in the evaluation of preselected PP-PSL. However, these findings should be confirmed in a formal clinical trial.

6 Article Objective melanoma progression. 2011

Rubegni, Pietro / Burroni, Marco / Nami, Niccolò / Cevenini, Gabriele / Bono, Riccardo / Sbano, Paolo / Fimiani, Michele. ·Department of Clinical Medicine and Immunological Science, Dermatology Section, University of Siena, Siena, Italy. rubegni@unisi.it ·Skin Res Technol · Pubmed #20923468.

ABSTRACT: BACKGROUND/PURPOSE: Many aspects of the natural history of malignant melanoma (MM) are still unclear, specifically its appearance at onset and particularly how it changes in time. The purpose of our study was to retrospectively determine objective changes in melanoma over a 3-24-month observation period. MATERIALS AND METHODS: Our study was carried out in two Italian dermatology centers. Digital dermoscopy analyzers (DB-Mips System) were used to retrospectively evaluate dermoscopic images of 59 MM (with no initial clinical aspects suggesting melanoma) under observation for 3-24 months. The analyzer evaluates 49 parameters grouped into four categories: geometries, colors, textures and islands of color. Multivariate analysis of variance for repeated measures was used to evaluate the statistical significance of the changes in the digital dermoscopy variables of melanomas. RESULTS: Within-lesion analysis indicated that melanomas increased in dimension (Area, Minimum, and Maximum Diameter), manifested greater disorganization of the internal components (Red, Green and Blue Multicomponent, Contrast, and Entropy) and increased in clusters of milky pink color (Light Red Area). CONCLUSION: Analysis of the parameters of our model and statistical analysis enabled us to interpret/identify the most significant factors of melanoma modification, providing quantitative insights into the natural history of this cutaneous malignancy.

7 Article Objective follow-up of atypical melanocytic skin lesions: a retrospective study. 2010

Rubegni, Pietro / Cevenini, Gabriele / Burroni, Marco / Bono, Riccardo / Sbano, Paolo / Biagioli, Maurizio / Risulo, Massimiliano / Nami, Niccolò / Perotti, Roberto / Miracco, Clelia / Fimiani, Michele. ·Department of Clinical Medicine and Immunological Science, Policlinico "Le Scotte", Siena, Italy. rubegni@unisi.it ·Arch Dermatol Res · Pubmed #20411393.

ABSTRACT: Various authors have suggested that information from longitudinal observation (follow-up) of dynamic changes in atypical melanocytic pigmented skin lesions (MPSL) could enable identification of early malignant melanoma escaping initial observation due to an absence of specific clinical and dermoscopic features. The aim of our retrospective study was to determine the existence of numerical variables regarding changes in MPSL that could be useful to differentiate early melanomas and atypical nevi. The study was carried out in two Italian dermatology Centres. Digital dermoscopy analyzers (DB-Mips System) were used to evaluate dermoscopic images of 94 equivocal pigmented skin lesions under observation for 6-12 months and then excised because of changes across time (29 melanomas and 65 nevi). The analyzer evaluates 49 parameters grouped into four categories: geometries, colours, textures and islands of colour. The ROC curve designed on the 49 digital dermoscopy analysis parameters showed good accuracy. At sensitivity (SE) = specificity (SP), it correctly classified 89.3% of cases. When objective pigmented skin lesion parameters were considered together with their objective changes over 6-12 months, a decisive increase in discrimination capacity was obtained. At SE = SP accuracy was 96.3%. Analysis of the parameters of our model and statistical analysis enabled us to interpret/identify the most significant factors of modification and differentiation of lesions, providing quantitative insights into the diagnosis of equivocal MPSL and demonstrating the utility of objective/numerical follow-up.

8 Article Evaluation of cutaneous melanoma thickness by digital dermoscopy analysis: a retrospective study. 2010

Rubegni, Pietro / Cevenini, Gabriele / Sbano, Paolo / Burroni, Marco / Zalaudek, Iris / Risulo, Massimiliano / Dell'Eva, Giordana / Nami, Niccolò / Martino, Antonia / Fimiani, Michele. ·Section of Dermatology, Department of Clinical Medicine and Immunological Sciences, University of Siena, Siena, Italy. rubegni@unisi.it ·Melanoma Res · Pubmed #20375922.

ABSTRACT: Digital dermoscopy analysis (DDA) exploits computerized analysis of digital images and offers the possibility of parametric analysis of morphological aspects of pigmented skin lesions by means of integration with dedicated software. We conducted a study by DDA in 141 melanomas, with the aim assessing whether the numerical variables extrapolated by univariate logistic analysis could be used in a system of multivariate analysis to predict melanoma thickness before surgery. Melanoma images were evaluated for 49 DDA parameters. Logistic analysis was conducted to identify statistically significant variables. The leave-one-out method was used to evaluate the predictive representations of rules for stepwise logistic classification. The percentage of correctly classified cases was calculated by a classification matrix. Melanomas less than 1 mm had a smaller area, faded borders and were more symmetrical than melanomas greater than 1 mm. The latter had a bluer colour and more random disposition of elements. The accuracy was 86.5%. Specifically, 97 of 108 thin melanomas (specificity 89.8%) and 25 of 33 thick melanomas (sensitivity 75.7%) were correctly classified. In conclusion, the predictive value of DDA for melanoma thickness was quite good. Moreover, DDA allowed us to know objectively those dermoscopic features important in the differentiation between thick and thin melanoma. However, further studies should be performed in a prospective setting before the clinical application.

9 Minor The integration of dermoscopy and reflectance confocal microscopy improves the diagnosis of lentigo maligna. 2019

Cinotti, E / Fiorani, D / Labeille, B / Gonzalez, S / Debarbieux, S / Agozzino, M / Ardigò, M / Lacarrubba, F / Farnetani, F / Carrera, C / Cevenini, G / Le Duff, F / Tognetti, L / Pellacani, G / Rubegni, P / Perrot, J L. ·Dermatology Section, Department of Medical, Surgical and Neurological Science, S. Maria alle Scotte Hospital, University of Siena, Siena, Italy. · Department of Dermatology, University Hospital of St-Etienne, Saint-Etienne, France. · Medicine and Medical Specialities Department, Alcalá University, Madrid, Spain. · Departments of Dermatology, Centre Hospitalier Lyon Sud, Pierre Benite, France. · Dermatology Unit, University of Campania Luigi Vanvitelli, Naples, Italy. · Clinical Dermatology, San Gallicano Dermatological Institute, Rome, Italy. · Dermatology Clinic, University of Catania, Catania, Italy. · Department of Dermatology, University of Modena and Reggio Emilia, Modena, Italy. · Melanoma Unit, Department of Dermatology, Hospital Clínic de Barcelona, IDIBAPS, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona University, Barcelona, Spain. · Department of Medical Biotechnologies, University of Siena, Siena, Italy. · Department of Dermatology, Clinical Research Center, Hopital Archet 2, Nice, France. ·J Eur Acad Dermatol Venereol · Pubmed #31074539.

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