Aurora Gaeta

ORCID: 0000-0002-4944-7685
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Radiomics and Machine Learning in Medical Imaging
  • Lung Cancer Diagnosis and Treatment
  • Head and Neck Cancer Studies
  • Cancer Genomics and Diagnostics
  • Global Cancer Incidence and Screening
  • Breast Cancer Treatment Studies
  • Medical Imaging Techniques and Applications
  • Breast Lesions and Carcinomas
  • MRI in cancer diagnosis
  • AI in cancer detection
  • Melanoma and MAPK Pathways
  • Cervical Cancer and HPV Research
  • Brain Metastases and Treatment
  • COVID-19 Clinical Research Studies
  • Bladder and Urothelial Cancer Treatments
  • Vitamin D Research Studies
  • Renal cell carcinoma treatment
  • Lung Cancer Research Studies
  • Cancer and Skin Lesions
  • Esophageal Cancer Research and Treatment
  • Cutaneous lymphoproliferative disorders research
  • Artificial Intelligence in Healthcare and Education
  • Gut microbiota and health
  • Genomic variations and chromosomal abnormalities
  • Protein Degradation and Inhibitors

European Institute of Oncology
2021-2025

Istituti di Ricovero e Cura a Carattere Scientifico
2022-2025

University of Milano-Bicocca
2023-2025

University of Milan
2024

Abstract We analyzed the inclusion of sex and/or gender (S/G) in Head and Neck Cancer (HNC) clinical studies, through inspecting ClinicalTrials.gov (AACT) mention Human Papilloma Virus (HPV) on a specific subgroup, namely oral cavity, larynx oropharynx. Only 5% HNC studies S/G as planned analytical variable. Proportionally more observational treated an variable than interventional (10% vs 5%, P -value ≤ 0.001), 8% that mentioned involved 100 subjects while 4% less ( 0.001). In randomized...

10.1038/s41698-023-00439-z article EN cc-by npj Precision Oncology 2023-09-07

Abstract Background Radiomics represents an emerging field of precision‐medicine. Its application in head and neck is still at the beginning. Methods Retrospective study about magnetic resonance imaging (MRI) based radiomics oral tongue squamous cell carcinoma (OTSCC) surgically treated (2010–2019; 79 patients). All preoperative MRIs include different sequences (T1, T2, DWI, ADC). Tumor volume was manually segmented exported to radiomic‐software, perform feature extraction. Statistically...

10.1002/hed.27299 article EN cc-by Head & Neck 2023-02-13

Although breast cancer screening can benefit from Artificial Intelligence (AI), it is still unknown whether, to which extent or under conditions, the use of AI going be accepted by general population. The aim our study evaluate what females who are eligible for know about and how they perceive such innovation.We used a prospective survey consisting 11-multiple-choice questionnaire evaluating statistical associations with Chi-Square-test Fisher-exact-test. Multinomial-logistic-regression was...

10.1259/bjr.20220569 article EN British Journal of Radiology 2022-10-31

In patients with phyllodes tumors of the breast, presence mediator RNA polymerase II transcription subunit 12 homolog mutations (MED12m) and a history previous fibroadenoma may predict better outcomes. To aid in prognostication malignant breast (B-MPT), we assessed prognostic value fibroadenoma-like areas (supposed to have stemmed from pre-existing fibroadenoma) MED12m, resected primary B-MPTs. We conducted single-center, retrospective, cohort study including all consecutive aged ≥18 years...

10.1093/oncolo/oyaf012 article EN cc-by The Oncologist 2025-01-17

The annual recurrence risk model (ARRM), developed by the Surveillance in Cervical Cancer consortium and endorsed European Society of Gynecological Oncology, predicts cervical cancer recurrence. However, it lacks an external validation, which we aimed to address current retrospective study. We included patients with pathology confirmed T1a T2b cancers who underwent radical surgery at Institute Milan from January 2010 December 2022. Using ARRM calculator, were assigned a score 0 100 points,...

10.1016/j.ijgc.2025.101756 article EN International Journal of Gynecological Cancer 2025-03-01

Aim: 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 study is twofold: (i) build prognostic models test the association between CT-derived radiomic features (RFs) and outcomes interest (overall survival (OS), progression-free (PFS) loco-regional (LRPFS)); (ii) quantify whether combination clinical descriptors yields...

10.3390/cancers17050908 article EN Cancers 2025-03-06

Purpose: Hippocampal sparing whole-brain radiotherapy (HS-WBRT) showed significantly lower long-term side effects compared to standard WBRT. Aim of this study is describe a HS-WBRT real-world monoinstitutional experience within retrospective cohort. Methods: Patients who completed course, with Karnofsky Performance Status ⩾ 60 and radiological diagnosis brain metastases (BMs) were enrolled. Treatment was performed using helical Tomotherapy scheduled in 30 Gy 10 or 12 fractions 25 fractions....

10.1177/03008916231206926 article EN Tumori Journal 2024-01-05

The study aimed to evaluate the performance of radiomics features and one ultrasound CAD (computer-aided diagnosis) in prediction malignancy a breast lesion detected with develop nomogram incorporating radiomic score available information on performance, conventional Breast Imaging Reporting Data System evaluation (BI-RADS), clinical information. 365 lesions referred for US subsequent histologic analysis between January 2020 March 2022 were retrospectively collected. Patients randomly...

10.3390/cancers15030964 article EN Cancers 2023-02-02

We aimed to investigate the association between radiomic features of contrast-enhanced spectral mammography (CESM) images and a specific receptor pattern breast neoplasms. In this single-center retrospective study, we selected patients with neoplastic lesions who underwent CESM before biopsy surgical assessment January 2013 February 2022. Radiomic analysis was performed on regions interest from recombined images. The each evaluated endpoint (ER, PR, Ki-67, HER2+, triple negative, G2-G3...

10.3390/ijms232315322 article EN International Journal of Molecular Sciences 2022-12-05

Radiomics is an emerging field that utilizes quantitative features extracted from medical images to predict clinically meaningful outcomes. Validating findings crucial assess radiomics applicability. We aimed validate previously published magnetic resonance imaging (MRI) models oncological outcomes in oral tongue squamous cell carcinoma (OTSCC).

10.1007/s11547-024-01859-y article EN cc-by La radiologia medica 2024-08-03

Women and men differ genetically, biologically (sex) by social construct (gender), possibly impacting on prognostic factors in predicting cancer survival. Hemoglobin levels immune system activation are players acting this scenario which could play a role partly determining prognosis between patients of different sex/gender (S/G). Here, we investigate these affected tongue squamous cell carcinoma. This is an observational retrospective cohort study. We collected patients' clinical data,...

10.3389/fonc.2022.1018886 article EN cc-by Frontiers in Oncology 2022-11-15

Aims: To assess whether CT-based radiomics and blood-derived biomarkers could improve the prediction of overall survival (OS) locoregional progression-free (LRPFS) in patients with oropharyngeal cancer (OPC) treated curative-intent RT. Methods: Consecutive OPC primary tumors between 2005 2021 were included. Analyzed clinical variables included gender, age, smoking history, staging, subsite, HPV status, blood parameters (baseline hemoglobin levels, neutrophils, monocytes, platelets, derived...

10.3390/cancers15072022 article EN Cancers 2023-03-28
Coming Soon ...