Publications by authors named "A R Manconi"

Background: Direct-to-implant (DTI) immediate breast reconstruction has proven to be an oncologically safe technique and linked to better overall results. The introduction of new surgical techniques has prompted us to develop an acellular dermal matrix fixation technique that reduces the rate of complications and implant loss.

Methods: We retrospectively analyzed data from patients who underwent DTI prepectoral breast reconstruction with two different techniques of acellular dermal matrix fixation to the chest wall.

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Article Synopsis
  • Tumescent local anesthesia (TLA) is utilized to provide localized anesthesia and vasoconstriction during primary sub-muscular breast augmentations in transgender patients, with a modified approach reported from 2014 to 2021.
  • A total of 20 transgender patients underwent surgery using a specific saline solution formula, with no instances of anesthesia-related complications, and a major complication rate of only 5%.
  • The procedure is seen as beneficial for transgender women, promoting feminine characteristics while encouraging patients to fully understand the risks and benefits associated with breast augmentation.
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Background: Abdominoplasty is a common surgical procedure performed under general anesthesia, and although the use of TLA combined with subdural anesthesia has never been reported in abdominoplasty, it offers several benefits such as safe and effective local anesthesia and vasoconstriction. We outline our experience with the TLA technique for primary abdominoplasty over the last 7 years.

Methods: From 2014 to 2021, TLA and subdural anesthesia have been used in primary abdominoplasty surgeries for 106 patients.

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The characterization of modifications of microbial proteins is of primary importance to dissect pathogen lifecycle mechanisms and could be useful in identifying therapeutic targets. Attempts to solve this issue yielded only partial and non-exhaustive results. We developed a multidisciplinary approach by coupling in vitro infection assay, mass spectrometry (MS), protein 3D modelling, and surface plasma resonance (SPR).

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This methodological article is mainly aimed at establishing a bridge between classification and regression tasks, in a frame shaped by performance evaluation. More specifically, a general procedure for calculating performance measures is proposed, which can be applied to both classification and regression models. To this end, a notable change in the policy used to evaluate the confusion matrix is made, with the goal of reporting information about regression performance therein.

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