Patrizia Cornacchione

Dr. Patrizia Cornacchione

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 January 2025 in Cancers
Verified
Journal Article
Open access
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DSDavid Sipos
David Sipos
Bence RaposaBence Raposa
Bence Raposa
OFOmar Freihat
Omar Freihat
V1VAT Number: HU 17782218
VAT Number: HU 17782218
NMNejc Mekis
Nejc Mekis
AKA. Kovacs
A. Kovacs
Glioblastoma, the most common and aggressive primary brain tumor in adults, presents a formidable challenge due to its rapid progression, treatment resistance, and poor survival outcomes. Standard care typically involves maximal safe surgical resection, followed by fractionated external beam radiation therapy and concurrent temozolomide chemotherapy. Despite these interventions, median survival remains approximately 12–15 months, with a five-year survival rate below 10%. Prognosis is influenced by factors such as patient age, molecular characteristics, and the extent of resection. Patients with IDH-mutant tumors or methylated MGMT promoters generally have improved survival, while recurrent glioblastoma is associated with a median survival of only six months, as therapies in these cases are often palliative. Innovative treatments, including TTFields, add incremental survival benefits, extending median survival to around 20.9 months for eligible patients. Symptom management—addressing seizures, headaches, and neurological deficits—alongside psychological support for patients and caregivers is essential to enhance quality of life. Emerging targeted therapies and immunotherapies, though still limited in efficacy, show promise as part of an evolving treatment landscape. Continued research and clinical trials remain crucial to developing more effective treatments. This multidisciplinary approach, incorporating diagnostics, personalized therapy, and supportive care, aims to improve outcomes and provides a hopeful foundation for advancing glioblastoma management.

1 July 2017 in Journal of Thoracic Oncology
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Journal Article
Closed access
SRSara Ramella
Sara Ramella
MFMichele Fiore
Michele Fiore
SSSonia Silipigni
Sonia Silipigni
MZMaria Cristina Zappa
Maria Cristina Zappa
MJMassimo Jaus
Massimo Jaus
RDRolando Maria D’aNgelillo
Rolando Maria D’aNgelillo

21 November 2018 in PLOS ONE
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Journal Article
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SRSara Ramella
Sara Ramella
MFMichele Fiore
Michele Fiore
CGCarlo Greco
Carlo Greco
ECErmanno Cordelli
Ermanno Cordelli
RSRosa Sicilia
Rosa Sicilia
PSPaolo Soda
Paolo Soda
The primary goal of precision medicine is to minimize side effects and optimize efficacy of treatments. Recent advances in medical imaging technology allow the use of more advanced image analysis methods beyond simple measurements of tumor size or radiotracer uptake metrics. The extraction of quantitative features from medical images to characterize tumor pathology or heterogeneity is an interesting process to investigate, in order to provide information that may be useful to guide the therapies and predict survival. This paper discusses the rationale supporting the concept of radiomics and the feasibility of its application to Non-Small Cell Lung Cancer in the field of radiation oncology research. We studied 91 stage III patients treated with concurrent chemoradiation and adaptive approach in case of tumor reduction during treatment. We considered 12 statistics features and 230 textural features extracted from the CT images. In our study, we used an ensemble learning method to classify patients’ data into either the adaptive or non-adaptive group during chemoradiation on the basis of the starting CT simulation. Our data supports the hypothesis that a specific signature can be identified (AUC 0.82). In our experience, a radiomic signature mixing semantic and image-based features has shown promising results for personalized adaptive radiotherapy in non-small cell lung cancer.

8 March 2015 in Journal of Applied Clinical Medical Physics
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Journal Article
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EIErminia Infusino
Erminia Infusino
SRSara Ramella
Sara Ramella
RDRolando Maria D'Angelillo
Rolando Maria D'Angelillo
CGCarlo Greco
Carlo Greco
AIAurelia Iurato
Aurelia Iurato
AMAlessandra Mameli
Alessandra Mameli
The purpose of this study was to evaluate setup uncertainties for brain sites with ExacTrac X‐Ray 6D system and to provide optimal margin guidelines. Fifteen patients with brain tumor were included in this study. Two X‐ray images with ExacTrac X‐Ray 6D system were used to verify patient position and tumor target localization before each treatment. The 6D fusion software first generates various sets of DRRs with position variations in both three translational and three rotational directions (six degrees of freedom) for the CT images. Setup variations (translation and rotation) after correction were recorded and corrected before treatment. The 3D deviations are expressed as . The random error , systematic error , and group systematic error for the different X‐ray were calculated using the definitions of van Herk.(1) Mean setup errors were calculated from X‐ray images acquired after all fractions. There is moderate patient‐to‐patient variation in the vertical direction and small variations in systematic errors and magnitudes of random errors are smaller. The global systematic errors were measured to be less than 2.0 mm in each direction. Random component of all patients are smaller ranging from 0.1–0.3 mm small. The safety margin (SM) to the lateral, is 0.5 mm and 2.6 mm for van Herk(1) and Stroom et al.,(2) respectively, craniocaudal axis is 1.5 mm and 3.4 mm, respectively, and with respect to the antero–posterior axis, 2.3 mm and 3.9 mm. Daily X‐ray imaging is essential to compare and assess the accuracy of treatment delivery to different anatomical locations.PACS number: 87.55.D

5 September 2022 in Medicina
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Journal Article
Open access
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FTFrancesco Tramacere
Francesco Tramacere
VLValentina Lancellotta
Valentina Lancellotta
Calogero CasàCalogero Casà
Calogero Casà
BFBruno Fionda
Bruno Fionda
PCPatrizia Cornacchione
Patrizia Cornacchione
LTLuca Tagliaferri
Luca Tagliaferri
Background and Objectives: Cervical cancer is a leading cause of mortality among women. Chemo-radiation followed by interventional radiotherapy (IRT) is the standard of care for stage IB–IVA FIGO. Several studies have shown that image-guided adaptive IRT resulted in excellent local and pelvic control, but it is associated with vaginal toxicity and intercourse problems. The purpose of this review is to evaluate the dysfunctions of the sexual sphere in patients with cervical cancer undergoing different cervix cancer treatments. Materials and Methods: We performed a comprehensive literature search using Pub med, Scopus and Cochrane to identify all the full articles evaluating the dysfunctions of the sexual sphere. ClinicalTrials.gov was searched for ongoing or recently completed trials, and PROSPERO was searched for ongoing or recently completed systematic reviews. Results: One thousand three hundred fifty-six women included in five studies published from 2016 to 2022 were analyzed. The median age was 50 years (range 46–56 years). The median follow-up was 12 months (range 0–60). Cervical cancer diagnosis and treatment (radiotherapy, chemotherapy and surgery) negatively affected sexual intercourse. Sexual symptoms such as fibrosis, strictures, decreased elasticity and depth and mucosal atrophy promote sexual dysfunction by causing frigidity, lack of lubrication, arousal, orgasm and libido and dyspareunia. Conclusions: Physical, physiological and social factors all contribute to the modification of the sexual sphere. Cervical cancer survivors who were irradiated have lower sexual and vaginal function than the normal population. Although there are cures for reducing discomfort, effective communication about sexual dysfunctions following treatment is essential.

1 August 2020 in Radiography
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Journal Article
Closed access
MZMoreno Zanardo
Moreno Zanardo
Chiara MartiniChiara Martini
Chiara Martini
CMCaterina Monti
Caterina Monti
FCF. Cattaneo
F. Cattaneo
CCC. Ciaralli
C. Ciaralli
SDS. Durante
S. Durante