Sara Raimondi
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Explore the profile of Sara Raimondi including associated specialties, affiliations and a list of published articles.
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Articles
182
Citations
4440
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Recent Articles
1.
Volpe S, Vincini M, Zaffaroni M, Gaeta A, Raimondi S, Piperno G, et al.
Cancers (Basel)
. 2025 Mar;
17(5).
PMID: 40075755
An Early-Stage Non-Small Cell Lung Cancer (ES-NSCLC) patient candidate for stereotactic body radiotherapy (SBRT) may start their treatment without a histopathological assessment, due to relevant comorbidities. The aim of this...
2.
Netti S, DEcclesiis O, Corso F, Botta F, Origgi D, Pesapane F, et al.
Eur Radiol
. 2024 Dec;
PMID: 39702630
Aim: To investigate whether methodological aspects may influence the performance of MRI-radiomic models to predict response to neoadjuvant treatment (NAT) in breast cancer (BC) patients. Materials And Methods: We conducted...
3.
Pellegrini C, Caini S, Gaeta A, Lucantonio E, Mastrangelo M, Bruni M, et al.
Cancers (Basel)
. 2024 Nov;
16(22).
PMID: 39594690
Introduction: Several studies have described how the restrictive measures due to COVID-19 have delayed melanoma diagnoses, resulting in an increased rate of more severe cases. Summarizing the sparse results in...
4.
Association of MC1R variants with melanoma risk and interaction with sun exposure: An M-SKIP project
Stefanaki I, DEcclesiis O, Vignati S, Gaeta A, Kypreou K, Caini S, et al.
J Eur Acad Dermatol Venereol
. 2024 Oct;
PMID: 39425518
No abstract available.
5.
Nicosia L, Mariano L, Latronico A, Bozzini A, Bellerba F, Gaeta A, et al.
Front Med (Lausanne)
. 2024 Oct;
11:1467738.
PMID: 39380737
Background: Surgery is still the standard treatment for breast lesions such as ductal carcinoma (DCIS); however, its survival benefit is minimal, particularly for low-grade DCIS. Surgical complications and related depression...
6.
Tagliabue M, Ruju F, Mossinelli C, Gaeta A, Raimondi S, Volpe S, et al.
Radiol Med
. 2024 Aug;
129(9):1369-1381.
PMID: 39096355
Purpose: Radiomics is an emerging field that utilizes quantitative features extracted from medical images to predict clinically meaningful outcomes. Validating findings is crucial to assess radiomics applicability. We aimed to...
7.
Alessi S, Maggioni R, Luzzago S, Summers P, Renne G, Zugni F, et al.
Radiol Med
. 2024 Jul;
129(9):1394-1404.
PMID: 39014292
Purpose: To assess the ability of tumor apparent diffusion coefficient (ADC) values obtained from multiparametric magnetic resonance imaging (mpMRI) to predict the risk of 5-year biochemical recurrence (BCR) after radical...
8.
Marvaso G, Isaksson L, Zaffaroni M, Vincini M, Summers P, Pepa M, et al.
Eur Radiol
. 2024 Mar;
34(10):6241-6253.
PMID: 38507053
Objective: To test the ability of high-performance machine learning (ML) models employing clinical, radiological, and radiomic variables to improve non-invasive prediction of the pathological status of prostate cancer (PCa) in...
9.
Lavatelli F, Natalello A, Marchese L, Ami D, Corazza A, Raimondi S, et al.
J Biol Chem
. 2024 Mar;
300(4):107174.
PMID: 38499153
AL amyloidosis is a life-threatening disease caused by deposition of immunoglobulin light chains. While the mechanisms underlying light chains amyloidogenesis in vivo remain unclear, several studies have highlighted the role...
10.
Verona G, Raimondi S, Canetti D, Mangione P, Marchese L, Corazza A, et al.
Protein Sci
. 2024 Feb;
33(3):e4931.
PMID: 38380705
The mechanism that converts native human transthyretin into amyloid fibrils in vivo is still a debated and controversial issue. Commonly, non-physiological conditions of pH, temperature, or organic solvents are used...