Publications by authors named "C Siani"

Pseudoangiomatous stromal hyperplasia (PASH) is a benign mesenchymal proliferative lesion of the breast. In 2005, only 109 cases have been reported since its initial description in 1986 by Vuitch et al. when it presented in one patient as a palpable breast mass.

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Objective: To evaluate quality of life (Qol), pain level and medical consumption before and after uterine botulinum toxin (BT) injections in severe dysmenorrhea, dyspareunia and chronic pelvic pain.

Methods: This was a before and after study using the database of a pilot study (Open-label non comparative study, on 30 patients, with severe dysmenorrhoea in therapeutic failure) assessing efficacy and cost of uterine injection of BT in women with chronic pelvic pain after failure of conventional treatment (hormonal and analgesics) (CT). Main clinical outcome: Patient Global Impression of Improvement (PGI-I), EuroQol health-related QoL (EQ-5D-5L), EuroQol-visual analogue scale (EQ-VAS), Female Sexual Function Index (FSFI), utility measure of health-related quality of life (also called health state preference values), cost and of health care consumption were collected prospectively and analysed in the two phases (before and after).

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Background: Non-Hodgkin lymphoma (NHL) of the breast is a rare disease and can occur amongst patients affected by Waldenström's Macroglobulinemia (WM). WM is an indolent B-cell lymphoproliferative disorder with an overall incidence of about 1/100,000 in Europe. Breast imaging is not specific to breast lymphoma that often mimics benign lesions.

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Background: We retrospectively evaluated safety and performance of magnetic seed localisation of nonpalpable breast lesions.

Methods: We reviewed records of patients with nonpalpable breast lesions preoperative localised by placing magnetic Magseed® marker between February 2019 and December 2020. During surgery, Sentimag® magnetic probe was used to localise the marker and guide surgery.

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:The purpose of this study was to discriminate between benign and malignant breast lesions through several classifiers using, as predictors, radiomic metrics extracted from CEM and DCE-MRI images. In order to optimize the analysis, balancing and feature selection procedures were performed. : Fifty-four patients with 79 histo-pathologically proven breast lesions (48 malignant lesions and 31 benign lesions) underwent both CEM and DCE-MRI.

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