14 results match your criteria: "Azienda Ospedaliero Universitaria Careggi - University of Florence[Affiliation]"

Purpose: Rare cancers constitute over 20% of human neoplasms, often affecting patients with unmet medical needs. The development of effective classification and prognostication systems is crucial to improve the decision-making process and drive innovative treatment strategies. We have created and implemented MOSAIC, an artificial intelligence (AI)-based framework designed for multimodal analysis, classification, and personalized prognostic assessment in rare cancers.

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Notable treatment advances have been made in recent years for patients with myelodysplastic syndromes/neoplasms (MDS), and several new drugs are under development. For example, the emerging availability of oral MDS therapies holds the promise of improving patients' health-related quality of life (HRQoL). Within this rapidly evolving landscape, the inclusion of HRQoL and other patient-reported outcomes (PROs) is critical to inform the benefit/risk assessment of new therapies or to assess whether patients live longer and better, for what will likely remain a largely incurable disease.

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Article Synopsis
  • Allogeneic hematopoietic stem-cell transplantation is the only curative option for patients with myelodysplastic syndromes, and the timing of this treatment is crucial for maximizing benefits and minimizing risks.
  • A decision support system was developed to identify the optimal timing for HSCT based on clinical and genomic data from a large study of over 7,000 patients, comparing outcomes using the Molecular International Prognostic Scoring System (IPSS-M) against traditional scoring methods.
  • The findings suggest that patients with lower risk can benefit from delaying transplantation, while those at higher risk should undergo it immediately, indicating that the IPSS-M strategy significantly improves life expectancy and supports personalized treatment plans.
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Background: Reconstructive options that can be used following conservative mastectomy, skin-, nipple-sparing and skin-reducing mastectomies, allow a remarkable variety of safe methods to restore the natural shape and aesthetics of the breast mound. In case of two-stage breast reconstruction, tissue expanders (TEs) are usually placed in a subpectoral position. The purpose of this retrospective cohort study is to evaluate the feasibility and safety of two-step reconstruction with TE in pre-pectoral position covered by acellular dermal matrix (ADM).

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Article Synopsis
  • Synthetic data are artificial datasets generated using algorithms that learn from real patient data, aiming to preserve privacy while accelerating research in life sciences, specifically in hematologic neoplasms.
  • The study utilized a conditional generative adversarial network to create high-fidelity synthetic data for conditions like myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML), validating the data's accuracy and privacy through a robust framework.
  • Results showed that synthetic data could significantly augment existing clinical data, enhance research capabilities, and allow for the development of new molecular classification and scoring systems, ultimately benefiting clinicians through a user-friendly website for data generation.
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Article Synopsis
  • Myelodysplastic syndromes (MDS) require a specialized treatment approach, and the new Molecular International Prognostic Scoring System (IPSS-M) aims to enhance predictions for patient outcomes compared to the older IPSS-R model.
  • A study of 2,876 patients revealed that IPSS-M significantly improved survival predictions and shifted risk classifications in nearly half of the patients, even those without detectable gene mutations.
  • The findings suggest IPSS-M could better identify patients suitable for hematopoietic stem cell transplantation, although its effectiveness in certain treatment responses remains limited; further research on other influencing factors is necessary.
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Purpose: Recurrently mutated genes and chromosomal abnormalities have been identified in myelodysplastic syndromes (MDS). We aim to integrate these genomic features into disease classification and prognostication.

Methods: We retrospectively enrolled 2,043 patients.

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Background And Purpose: Breast-conserving surgery (BCS) and whole breast radiation (RT) with or without endocrine therapy (ET) represent the standard of care for ductal carcinoma in situ (DCIS). The use of adjuvant treatments after surgery is still controversial in this setting. We performed a retrospective multicenter analysis on a series of DCIS patients treated with BCS and adjuvant RT.

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Purpose: Discordances between the estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2), expression between primary breast tumors and their subsequent brain metastases (BM) were investigated in breast cancer patients.

Methods: We collected retrospective data from 11 institutions in 8 countries in a predefined-standardized format. Receptor status (positive or negative) was determined according to institutional guidelines (immunohistochemically and/or fluorescence in situ hybridization).

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"To clip or not to clip. That is no question!".

Eur J Surg Oncol

July 2017

Department of Oncology and Metabolism, University of Sheffield and Jasmine Breast Unit, Doncaster and Bassetlaw Teaching Hospital NHS Foundation Trust, Doncaster, UK. Electronic address:

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Over the years, thanks to the addition of new generation systemic agents, as well as the use of more advanced and precise radiotherapy techniques, it was able to obtain a high curability rate for breast cancer. Anthracyclines play a key role in the treatment of breast disease, with a well-known benefit on disease-free survival of patients with positive nodal status. Trastuzumab have shown a significant outcome advantage after 1-year administration in case of HER2-positive disease.

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Both endocrine and chemotherapy can be utilized for breast cancer patients' management, in multiple setting (i.e., primary systemic therapy, adjuvant, metastatic treatment).

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Resonance artefacts in modern pressure monitoring systems.

J Clin Monit Comput

October 2016

Department of Anesthesia and Intensive Care - Department of Health Science, Section of Anesthesiology and Intensive Care, Azienda Ospedaliero-Universitaria Careggi - University of Florence, Florence, Italy.

Resonance in pressure monitoring catheters is a well-known problem which was studied several years ago. Current piezoelectric devices have mechanical properties providing a resonance frequency and damping factor that theoretically assure resonance-free data. However, in particular cases, the coupling between the device, the catheter, and the vascular compliance of the patient could introduce artefacts in clinical settings leading to wrong pressure waveforms and values displayed in the monitor.

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