Alpha 2.0
Login Register
» Authors » Giulia Paolani

Giulia Paolani

Explore the profile of Giulia Paolani including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 13
Citations 22
Followers 0
Related Specialties
Biophysics
General Medicine
Oncology
Top 10 Co-Authors
Lidia Strigari
Miriam Santoro
Silvia Strolin
Alessio Giuseppe Morganti
Giuseppe Della Gala
Stefano Fanti
Federico Zagni
Gloria Ravegnini
Anna Myriam Perrone
Simona Civollani
Published In
Phys Med
Cancers (Basel)
Front Oncol
Curr Med Imaging
Pharmaceutics
Affiliations
Soon will be listed here.
Recent Articles
1.
LatticeOpt: An automatic tool for planning optimisation of spatially fractionated stereotactic body radiotherapy
Botti A, Finocchiaro D, Panico N, Trojani V, Paolani G, Iori F, et al.
Phys Med . 2024 Sep; 126:104823. PMID: 39332099
Purpose: Lattice radiotherapy (LRT) is a three dimensional (3D) implementation of spatially fractionated radiation therapy, based on regular spatial distribution of high dose spheres (vertices) inside the target. Due to...
2.
Machine Learning Applied to Pre-Operative Computed-Tomography-Based Radiomic Features Can Accurately Differentiate Uterine Leiomyoma from Leiomyosarcoma: A Pilot Study
Santoro M, Zybin V, Coada C, Mantovani G, Paolani G, Di Stanislao M, et al.
Cancers (Basel) . 2024 Apr; 16(8). PMID: 38672651
Background: The accurate discrimination of uterine leiomyosarcomas and leiomyomas in a pre-operative setting remains a current challenge. To date, the diagnosis is made by a pathologist on the excised tumor....
3.
A single centre intercomparison between commercial treatment planning systems for Y radioembolization using virtual and experimental phantoms
Della Gala G, Santoro M, Rasoatsaratanany G, Paolani G, Strolin S, Strigari L
Phys Med . 2023 Nov; 116:103172. PMID: 38001000
Introduction: Dedicated Treatment Planning Systems (TPSs) were developed to personalize Y-transarterial radioembolization. This study evaluated the agreement among four commercial TPSs assessing volumes of interest (VOIs) volumes and dose metrics....
4.
A Radiomic-Based Machine Learning Model Predicts Endometrial Cancer Recurrence Using Preoperative CT Radiomic Features: A Pilot Study
Coada C, Santoro M, Zybin V, Di Stanislao M, Paolani G, Modolon C, et al.
Cancers (Basel) . 2023 Sep; 15(18). PMID: 37760503
Background: Current prognostic models lack the use of pre-operative CT images to predict recurrence in endometrial cancer (EC) patients. Our study aimed to investigate the potential of radiomic features extracted...
5.
How smart is artificial intelligence in organs delineation? Testing a CE and FDA-approved Deep-Learning tool using multiple expert contours delineated on planning CT images
Strolin S, Santoro M, Paolani G, Ammendolia I, Arcelli A, Benini A, et al.
Front Oncol . 2023 Mar; 13:1089807. PMID: 36937399
Background: A CE- and FDA-approved cloud-based Deep learning (DL)-tool for automatic organs at risk (OARs) and clinical target volumes segmentation on computer tomography images is available. Before its implementation in...
6.
A novel tool for predicting the dose distribution of non-sealed Re (Rhenium) resin in non-melanoma skin cancers (NMSC) patients
Zagni F, Vichi S, Paolani G, Santoro M, Della Gala G, Strolin S, et al.
Med Phys . 2023 Mar; 50(7):4600-4612. PMID: 36919341
Background: High-dose rate brachytherapy using a non-sealed Rhenium resin ( Re) is a recently approved treatment option for non-melanoma skin cancer (NMSC). The treatment goal is to deliver a personalized...
7.
Improving total body irradiation with a dedicated couch and 3D-printed patient-specific lung blocks: A feasibility study
Strolin S, Paolani G, Santoro M, Cercenelli L, Bortolani B, Ammendolia I, et al.
Front Oncol . 2023 Feb; 12:1046168. PMID: 36741733
Introduction: Total body irradiation (TBI) is an important component of the conditioning regimen in patients undergoing hematopoietic stem cell transplants. TBI is used in very few patients and therefore it...
8.
Using Cone Beam Computed Tomography for Radiological Assessment Beyond Dento-maxillofacial Imaging: A Review of the Clinical Applications in other Anatomical Districts
Corazza I, Giannetti E, Bonzi G, Lombi A, Paolani G, Santoro M, et al.
Curr Med Imaging . 2023 Feb; 19(9):977-994. PMID: 36733238
Background: Cone Beam Computed Tomography (CBCT) represents the optimal imaging solution for the evaluation of the maxillofacial and dental area when quantitative geometric and volumetric accuracy is necessary (e.g., in...
9.
PVA-Microbubbles as a Radioembolization Platform: Formulation and the In Vitro Proof of Concept
Da Ros V, Oddo L, Toumia Y, Guida E, Minosse S, Strigari L, et al.
Pharmaceutics . 2023 Jan; 15(1). PMID: 36678846
This proof-of-concept study lays the foundations for the development of a delivery strategy for radioactive lanthanides, such as Yttrium-90, against recurrent glioblastoma. Our appealing hypothesis is that by taking advantage...
10.
A novel figure of merit to investigate Ga PET/CT image quality based on patient weight and lesion size using Q.Clear reconstruction algorithm: A phantom study
Santoro M, Della Gala G, Paolani G, Zagni F, Civollani S, Strolin S, et al.
Phys Med . 2023 Jan; 106:102523. PMID: 36641902
Introduction: Q.Clear is a Bayesian penalised-likelihood algorithm that uses a β-value for positron emission tomography(PET)/computed tomography(CT) image reconstruction(IR). Our study proposes a novel figure of merit, named CRBV, to compare...