376 research outputs found
Il verde nella casa dell’uomo “compendio di gioie essenziali” / Nature in Homes, a “compendium of essential joys”
No full textNel 1950 Luigi Figini pubblica L’elemento “verde” e l’abitazione: il contributo più rilevante e più appassionato sul rapporto tra costruito, natura, modi di vivere, da parte di un architetto del razionalismo italiano. Guardando alla storia e pensando al presente, egli sviluppa le riflessioni maturate nel periodo tra le due guerre e traccia un itinerario originale tra il verde e il progetto moderno; ne identifica le componenti, illustra esempi e propone soluzioni, lasciando un messaggio di grande significato e attualità per la cultura architettonica: allora come oggi.
Il libro è riproposto in edizione anastatica per rispettare non solo il testo, ma anche le scelte grafiche di Figini, ed è arricchito da un’introduzione di Ornella Selvafolta (in italiano e inglese) che ne spiega l’origine in rapporto alle esperienze architettoniche, culturali e artistiche dell’autore.
In 1950 Luigi Figini published the book L’elemento “verde” e l’abitazione (The element of ‘Nature’ and Dwellings: the most important and most fervent contribution about the relationship between architecture and nature, by an architect of the Italian Rationalism. Linking history to the present, he brings to maturity ideas and experiences of the Thirties and traces an original route between green, home, and modern architecture, showing examples and proposing solutions, thus leaving a message of great significance and relevance for architectural culture and practice: then and now.
The book is presented in a facsimile edition to meet not only the text, but also the graphical choices by Figini, and is introduced by an essay of Ornella Selvafolta that explains its origin in relation to the architectural experiences and culture of the author
Combining Multi-Shell Diffusion with Conventional MRI Improves Molecular Diagnosis of Diffuse Gliomas with Deep Learning
No full textThe WHO classification since 2016 confirms the importance of integrating molecular diagnosis for prognosis and treatment decisions of adult-type diffuse gliomas. This motivates the development of non-invasive diagnostic methods, in particular MRI, to predict molecular subtypes of gliomas before surgery. At present, this development has been focused on deep-learning (DL)-based predictive models, mainly with conventional MRI (cMRI), despite recent studies suggesting multi-shell diffusion MRI (dMRI) offers complementary information to cMRI for molecular subtyping. The aim of this work is to evaluate the potential benefit of combining cMRI and multi-shell dMRI in DL-based models. A model implemented with deep residual neural networks was chosen as an illustrative example. Using a dataset of 146 patients with gliomas (from grade 2 to 4), the model was trained and evaluated, with nested cross-validation, on pre-operative cMRI, multi-shell dMRI, and a combination of the two for the following classification tasks: (i) IDH-mutation; (ii) 1p/19q-codeletion; and (iii) three molecular subtypes according to WHO 2021. The results from a subset of 100 patients with lower grades gliomas (2 and 3 according to WHO 2016) demonstrated that combining cMRI and multi-shell dMRI enabled the best performance in predicting IDH mutation and 1p/19q codeletion, achieving an accuracy of 75 ± 9% in predicting the IDH-mutation status, higher than using cMRI and multi-shell dMRI separately (both 70 ± 7%). Similar findings were observed for predicting the 1p/19q-codeletion status, with the accuracy from combining cMRI and multi-shell dMRI (72 ± 4%) higher than from each modality used alone (cMRI: 65 ± 6%; multi-shell dMRI: 66 ± 9%). These findings remain when we considered all 146 patients for predicting the IDH status (combined: 81 ± 5% accuracy; cMRI: 74 ± 5%; multi-shell dMRI: 73 ± 6%) and for the diagnosis of the three molecular subtypes according to WHO 2021 (combined: 60 ± 5%; cMRI: 57 ± 8%; multi-shell dMRI: 56 ± 7%). Together, these findings suggest that combining cMRI and multi-shell dMRI can offer higher accuracy than using each modality alone for predicting the IDH and 1p/19q status and in diagnosing the three molecular subtypes with DL-based models
Therapeutic management of classic lichen planopilaris: a systematic review
No full textEnzo Errichetti, Matteo Figini, Margherita Croatto, Giuseppe Stinco Department of Experimental and Clinical Medicine, Institute of Dermatology, University of Udine, Udine, Italy Abstract: Several treatment strategies have been proposed in classic lichen planopilaris (LPP), although no gold standard therapeutic approach has been recognized so far due to the variable and, sometimes, contradictory results reported in the literature, as well as due to the lack of guidelines and randomized controlled trials. In the present review, we sought to provide an updated overview on the treatment of classic LPP by analyzing the level of evidence of published studies, also proposing a possible therapeutic strategy according to the findings highlighted in this systematic review. Keywords: lichen planopilaris, management, therapy, treatmen
High Field 19F MRI: optimization of Rapid Acquisition with Relaxation Enhancement (RARE) sequences to improve the sensitivity on a preclinical 7T MRI scanner.
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