Radiation, Atomic and Molecular Physics, and Optics, Instrumentation, Spectroscopy
30
Scopus Publications
422
Scholar Citations
9
Scholar h-index
9
Scholar i10-index
Scopus Publications
Deep learning for synthetic PET imaging: a systematic mapping review of techniques, metrics, and clinical relevance Maria Vaccaro, Enrico Rosa, Elisa Placidi, Alessia Guarnera, Aurelio Secinaro, Carlo Gandolfo, Maria Carmen Garganese, Antonio Napolitano European Radiology Experimental, 2026 Background Synthetic positron emission tomography (PET) imaging, enabled by deep learning, represents a promising approach to minimize radiation exposure while preserving diagnostic accuracy. However, variability in methodologies, performance metrics, and clinical applications needs to be assessed. This systematic mapping review examines the current state of research in synthetic PET generation, analyzing their methodological frameworks and evaluating the clinical relevance. Materials and methods A systematic search in Scopus, PubMed, and Google Scholar (2019–2024) identified peer-reviewed studies on deep learning-based synthetic PET. Review articles, conference abstracts, and inaccessible full texts were excluded. Data extraction covered study characteristics, imaging modalities, architectures, and evaluation metrics. Due to study heterogeneity, the risk of bias was not formally assessed. Results were synthesized through descriptive and quantitative analysis. Results Of the initial 116 studies retrieved, 34 were included, 25 of them (73.5%) on brain/neuro using magnetic resonance imaging, computed tomography, or low-dose PET data to generate full-dose or tracer-specific PET. Common architectures included convolutional neural networks, generative adversarial networks, and U-Nets. Peak signal-to-noise ratio (PSNR) ranged 22.69–56.87 dB, structural similarity index measure (SSIM) 0.38–1.00 and mean absolute error (MAE) 1.37–72.00%. Whole-body applications were less frequent (9/34, 26.5%) but showed improvements in oncologic imaging, in particular for tumor detection and image quality. Despite promising advancements, challenges remain, including limited data availability, variability in tracer uptake, and the lack of standardized evaluation metrics. The absence of large/multicenter datasets limits the generalizability of findings. Conclusions This review highlights promising advancements in synthetic PET imaging using deep learning, with several studies demonstrating the potential for high-quality image generation and substantially reduced radiation exposure. These developments are particularly significant in pediatric populations, where minimizing radiation dose is crucial to ensure patient safety and long-term health. Nonetheless, methodological variability and limited clinical validation continue to pose substantial challenges. Future research should prioritize the development of standardized evaluation protocols, the use of larger and more diverse datasets—including pediatric cohorts—and comprehensive real-world clinical validation to support the safe and effective translation of synthetic PET techniques into clinical practice. Relevance statement Deep learning-based synthetic PET imaging enhances diagnostics while reducing radiation, but requires methodological standardization and clinical validation for broader adoption. Key Points Deep learning can create full-dose PET images with less radiation exposure. Neurological applications dominate synthetic PET research, maintaining essential diagnostic detail. Challenges include limited datasets and variability in tracer uptake, necessitating further advancements. Graphical Abstract
Impact of applicator curvature in contact interventional radiotherapy (brachytherapy) for skin cancer: exploring the “Nautilus Effect” Enrico Rosa, Sofia Raponi, Bruno Fionda, Antonio Napolitano, Valentina Lancellotta, Maria Vaccaro, Martina De Angeli, Francesco Pastore, Leonardo Bannoni, Pierpaolo Dragonetti, Luca Tagliaferri, Marco De Spirito, Elisa Placidi Physica Medica, 2026 INTRODUCTION: Contact interventional radiotherapy (cIRT) is an effective technique for treating non-melanoma skin cancers (NMSC). The use of curved applicators may enhance dose distribution and optimize therapeutic outcomes. This study analyzes the impact of applicator curvature on dose distribution, introducing the concept of the "Nautilus Effect." MATERIALS AND METHODS: In silico simulations were performed on twelve different curvature configurations, in particular 12 ROIs were contoured in Oncentra Brachy treatment planning system (®Elekta) in the form of three-dimensional circular crowns with a uniform thickness t of 5 mm. Key dosimetric parameters were measured, including the therapeutic window (TW), defined as the distance between the 100% and 150% isodoses. RESULTS AND DISCUSSION: Results show a strong correlation between applicator curvature and dose distribution: as curvature increases, the concave TW decreases while the convex TW increases. The "Nautilus Effect" highlights the advantages of curved applicators in optimizing dose coverage in complex anatomical regions. CONCLUSIONS: Future works are needed to focus on clinical validation and creation of a personalized curvature applicator for complex anatomical regions to improve the treatment outcomes.
Dual-mode mid-infrared plasmonic metasurface for real-time label-free analysis of live cells Benedetta Niccolini, Riccardo Di Santo, Elena Mazzinelli, Martina Orlando, Alessandra Russo, Michele Ortolani, Alessandra Di Gaspare, Enrico Rosa, Andrea Notargiacomo, Marialilia Pea, Naurang Saini, Marco de Spirito, Andrea Baldi, Kimiya Setayeshmehr, Francesco Guidi, Giuseppina Nocca, Gabriele Ciasca Talanta, 2026
Extracellular vesicles and interventional radiotherapy (modern brachytherapy): a translational gap analysis of dose-gradient-driven biological responses Enrico Rosa, Maria Vaccaro, Benedetta Niccolini, Bruno Fionda, Riccardo Di Santo, Elisa Placidi, Valentina Lancellotta, Gabriele Ciasca, Maria Antonietta Gambacorta, Marco De Spirito, Luca Tagliaferri European Physical Journal Plus, 2026 Extracellular vesicles (EVs) play a key role in radiation-induced biological responses and intercellular signaling. While extensively studied in external beam radiotherapy, their interaction with interventional radiotherapy (IRT, modern brachytherapy), characterized by steep and localized dose gradients, remains poorly explored. A qualitative literature-based gap analysis was conducted using PubMed and Scopus to identify studies investigating EVs in clinical or experimental settings involving IRT. Eligible publications included any form of EV analysis in patients or models treated with IRT alone or in combination with other therapies. Studies were qualitatively categorized according to treatment modality, EV characterization strategy, biological samples, and study endpoints. Only a limited number of original studies were identified. When IRT was delivered as a standalone treatment, localized irradiation was sufficient to induce measurable modulation of EV populations and cargo. In combined treatment settings, EVs were more commonly investigated as systemic biomarkers of treatment response or immune modulation, without isolating the specific biological contribution of IRT. Across studies, EV characterization approaches and clinical contexts were highly heterogeneous, and spatial dose–response relationships intrinsic to IRT were rarely addressed. Despite its intrinsic physical advantages, IRT remains underutilized as a platform for investigating EV-mediated radiation responses. The available evidence suggests that IRT can induce distinct EV modulation, but its biological potential is largely unexplored. Integrating EV analysis with IRT-specific dosimetry and spatial dose gradients represents a relevant translational opportunity for future radiobiological research.
Development of an Enomogram to Predict the Rate of Loco-Regional Control After Radio-Chemotherapy and Interventional Radiotherapy in Cervical Cancer Valentina Lancellotta, Maria Concetta La Milia, Rosa Autorino, Enrico Rosa, Bruno Fionda, Pierpaolo Dragonetti, Leonardo Bannoni, Raffaella Michela Rinaldi, Viola De Luca, Gerardina Stimato, Angeles Rovirosa, Alessio Giuseppe Morganti, Gabriella Macchia, Benedetta Gui, Nicolò Bizzarri, Anna Fagotti, Luca Tagliaferri, Maria Antonietta Gambacorta Cancers, 2026 Objective: This study aimed to explore the association between magnetic resonance imaging (MRI)-derived volumetric parameters and oncological outcomes, and to develop an exploratory predictive model based on these variables in patients treated with radio-chemotherapy followed by interventional radiotherapy (modern brachytherapy). Methods: Between 2021 and 2024, 300 patients with cervical cancer were included. Treatment was pelvic external beam radiotherapy with platinum-based chemotherapy followed by interventional radiotherapy boost. Volumetric MRI variables for each patient were collected. Time-to-event analyses were performed using Cox proportional hazards regression models. Model performance was assessed using Harrell’s concordance index (C-index). Internal validation was performed using bootstrap resampling. Based on the final multivariable Cox models, an interactive web-based nomogram was developed as an exploratory tool to visualize model-derived associations. Results: Median tumor volume decreased from 69.4 cm3 at diagnosis to 2.2 cm3 at the time of pre-interventional radiotherapy MRI, with a median reduction rate of 96.5%. Tumor volume at diagnosis, pre-interventional radiotherapy residual tumor volume, and tumor volume reduction rate were significantly associated with loco-regional relapse and distant metastases in Cox regression analyses. These findings were consistent across univariate and multivariable models. Internal validation confirmed the stability of the model estimates. Conclusions: MRI-derived volumetric parameters are associated with oncological outcomes in patients with locally advanced cervical cancer and may contribute to early risk stratification. The proposed model should be considered exploratory and hypothesis-generating and requires external validation before any potential clinical application.
A gap analysis integrating In vitro - Research in HDR interventional radiotherapy (Modern Brachytherapy): Challenges, limitations, and future directions Enrico Rosa, Benedetta Niccolini, Riccardo Di Santo, Bruno Fionda, Maria Vaccaro, Elisa Placidi, Elisabetta Tabolacci, Marco De Spirito, Monica Mangoni, Luca Tagliaferri, Gabriele Ciasca Applied Radiation and Isotopes, 2026 • This is the first gap analysis dedicated to *in vitro* studies using HDR interventional radiotherapy (IRT, brachytherapy), identifying a significant lack of HDR-specific preclinical models. • All reviewed studies employed 2D monolayer cultures; no study integrated physiologically relevant 3D models such as spheroids or organoids. • Most studies focused on cytotoxicity and α/β ratio modeling, while immune-related endpoints, oxidative stress, and bystander effects remain underexplored. • Dosimetric inaccuracies due to non-standard platforms were frequently reported and corrected via Monte Carlo simulations, yet rarely integrated with biological data. • The analysis highlights the need for advanced experimental frameworks combining radiobiology, 3D dosimetry, and biomimetic models to enhance translational relevance of HDR-IRT research.
Image-guided interventional radiotherapy (modern brachytherapy) for treatment of vaginal intraepithelial neoplasia: single-institution experience and systematic literature review and meta-analysis V. Lancellotta, A. P. Solazzo, B. Fionda, G. Garganese, S. M. Fragomeni, A. Federico, M. C. La Milia, P. Dragonetti, E. Rosa, L. Bannoni, M. De Angeli, S. Russi, S. Laurino, A. G. Morganti, R. P. De Vincenzo, G. Macchia, M. A. Gambacorta, R. Iezzi, L. Tagliaferri Strahlentherapie Und Onkologie, 2026 Purpose Vaginal intraepithelial neoplasia (VaIN) is a rare condition that poses diagnostic and management challenges and carries a significant risk of progression to invasive cancer. Image-guided interventional radiotherapy (IG-IRT, modern brachytherapy) has a high overall success rate, but it is usually reserved for poor surgical candidates and those with multifocal disease or failed prior treatments. This study evaluates the efficacy and safety of IG-IRT in high-grade VaIN by combining a retrospective institutional case series with a systematic review of the available literature. Methods We retrospectively analyzed patients with VaIN3 who received IG-IRT with curative intent between January 2019 and May 2025. The OncentraBrachy treatment planning system and a Flexitron (Elekta, Stockholm, Sweden) afterloading machine with a 192-Ir source were used for IG-IRT. The IG-IRT total dose was 40 Gy over eight high-dose-rate (HDR) fractions to achieve 60 Gy equivalent dose in 2‑Gy fractions (EQD2α/β10) to the clinical target volume (CTV). The exact vaginal target was decided based on the site and the number of lesions. Primary study endpoint was local control (LC); secondary endpoints included the rate and severity of acute and late treatment-related toxicity. A systematic review of the literature was conducted according to the PRISMA guidelines to contextualize institutional outcomes within the existing evidence. Results A total of 10 patients with high-grade VaIN who were naïve to prior radiotherapy were included in this study. The median follow-up duration was 17 months (7–70 months). The 1‑year actuarial LC and overall survival (OS) rates were 100%. No acute side effects were recorded, while late G2 toxicity (vaginal stenosis 1 and atrophy 4) occurred in four patients. Findings from the systematic review were consistent with the institutional results, supporting high rates of local control and an acceptable toxicity profile with IG-IRT in selected patients. Conclusion By integrating institutional experience with a systematic review of the literature, this study supports IG-IRT as an effective and safe definitive treatment option for high-grade VaIN, achieving excellent LC with acceptable toxicity. This combined approach provides a more robust framework for clinical decision-making in a rare disease setting.
Quantum Neural Networks in Magnetic Resonance Imaging: Advancing Diagnostic Precision Through Emerging Computational Paradigms Enrico Rosa, Maria Vaccaro, Elisa Placidi, Maria Luisa D’Andrea, Flavia Liporace, Gian Luigi Natali, Aurelio Secinaro, Antonio Napolitano Computers, 2025 Background: Quantum Neural Networks (QNNs) combine quantum computing and artificial intelligence to provide powerful solutions for high-dimensional data analysis. In magnetic resonance imaging (MRI), they address the challenges of advanced imaging sequences and data complexity, enabling faster optimization, enhanced feature extraction, and real-time clinical applications. Methods: A literature review using Scopus, PubMed, IEEE Xplore, ACM Digital Library and arXiv identified 84 studies on QNNs in MRI. After filtering for peer-reviewed original research, 20 studies were analyzed. Key parameters such as datasets, architectures, hardware, tasks, and performance metrics were summarized to highlight trends and gaps. Results: The analysis identified datasets supporting tasks like tumor classification, segmentation, and disease prediction. Architectures included hybrid models (e.g., ResNet34 with quantum circuits) and novel approaches (e.g., Quantum Chebyshev Polynomials). Hardware ranged from high-performance GPUs to quantum-specific devices. Performance varied, with accuracy up to 99.5% in some configurations but lower results for complex or limited datasets. Conclusions: The findings provide the first glimpse into the potential of QNNs in MRI, demonstrating accuracy and specificity in diagnostic tasks and biomarker detection. However, challenges such as dataset variability, limited quantum hardware access, and reliance on simulators remain. Future research should focus on scalable quantum hardware, standardized datasets, and optimized architectures to support clinical applications and precision medicine.
Artificial Intelligence for Liquid Biopsy: FTIR Spectroscopy and Autoencoder-Based Detection of Cancer Biomarkers in Extracellular Vesicles Riccardo Di Santo, Benedetta Niccolini, Enrico Rosa, Marco De Spirito, Fabrizio Pizzolante, Dario Pitocco, Linda Tartaglione, Alessandro Rizzi, Umberto Basile, Valentina Petito, Antonio Gasbarrini, Guido Gigante, Gabriele Ciasca Cells, 2025 Extracellular vesicles (EVs) are increasingly recognized as promising non-invasive biomarkers for cancer and other diseases, but their clinical translation remains limited by the lack of comprehensive characterization strategies. Spectroscopic approaches such as Fourier-transform infrared (FTIR) spectroscopy can provide a global biochemical fingerprint of intact EVs, but their interpretation requires advanced analytical tools. In this study, we applied an autoencoder-based framework to attenuated total reflection FTIR (ATR-FTIR) spectra of blood-derived components, including plasma, red blood cells (RBCs), RBC-ghosts, and EVs, comprising 278 samples collected from 135 patients, to obtain latent features capable of capturing biologically meaningful variability. The autoencoder compressed spectra into 12 latent features while preserving spectral information with low reconstruction error. Unsupervised UMAP projection of the latent features separated the blood components into different clusters, supporting their biological relevance. The model was then applied to EV spectra from patients with hepatocellular carcinoma (HCC) and cirrhotic controls. Four features significantly differed between the two groups, and an elastic-net regularized logistic model evaluated with a leave-one-out cross-validation framework retained a single latent feature, achieving an out-of-fold ROC AUC of 0.785 (95% CI 0.602–0.967), with performance broadly comparable to that typically reported for AFP, the most commonly used biomarker for HCC. This study provides the first proof-of-concept that an autoencoder can be applied to FTIR spectra of EVs, extracting biologically relevant latent features with potential application in cancer detection.
Dosimetric Impact of Air Gaps in High-Dose-Rate Contact Interventional Radiotherapy (Modern Brachytherapy) for Non-Melanoma Skin Cancer of the Ear Enrico Rosa, Bruno Fionda, Maria Vaccaro, Elisa Placidi, Valentina Lancellotta, Antonio Napolitano, Francesco Pastore, Francesca Greco, Pierpaolo Dragonetti, Maria Concetta La Milia, Gabriele Ciasca, Luca Tagliaferri, Marco De Spirito Journal of Clinical Medicine, 2025 Background/Objectives: The anatomical complexity of the auricular region poses a unique challenge for contact interventional radiotherapy (IRT, modern brachytherapy), especially in maintaining close conformity between the applicator and skin surface. Air gaps can arise due to the irregular shape of the ear, potentially compromising dose coverage. This study evaluates the dosimetric impact of air gaps in HDR IRT for non-melanoma skin cancer (NMSC) of the ear. Methods: Ten patients treated with contact IRT using alginate as supporting material were retrospectively analyzed. Treatment plans were recalculated using both the TG-43 and the TG-186 formalism. CTV coverage and organ-at-risk dose parameters were evaluated within the two formalisms. Results: CTV coverage was comparable between algorithms (mean V95% 96.2% vs. 94.4%, V100% 89.6% vs. 86.7%, and V150% 2.6% vs. 2.5% for TG-43 vs. TG-186; p > 0.05), while the ipsilateral eye D2cc decreased from 4.0% (TG-43) to 3.2% (TG-186). In silico simulations showed that increasing air gaps reduced skin dose progressively (up to ~15% at 5 mm), whereas alginate thickness produced only a mild dose increase (<5%) across the tested range. Overall, small air pockets (<1 mm) did not substantially alter global dosimetric metrics, although local underdosage may occur at gap locations. Conclusions: This study underscores the importance of accounting for material heterogeneities and geometric uncertainties in anatomically complex regions through advanced dose calculation algorithms.
New Perspectives and State of the Art in Interventional Radiotherapy (Brachytherapy) for Head and Neck Tumors Magyar Onkologia, 2025
Distinct Biomarker Profiles of B-Cell Activation in Metabolic and Viral Hepatic Fibrosis Umberto Basile, Valeria Carnazzo, Valerio Basile, Stefano Pignalosa, Francesca D’Ambrosio, Ilaria Vinante, Marzia Tagliaferro, Benedetta Niccolini, Riccardo Di Santo, Gian Ludovico Rapaccini, Enrico Rosa, Marco De Spirito, Mariapaola Marino, Gabriele Ciasca International Journal of Molecular Sciences, 2025
Quality control strategies for head and neck brachytherapy (interventional radiotherapy) Bruno Fionda, Elisa Placidi, Enrico Rosa, Valentina Lancellotta, Maria Vaccaro, Patrizia Cornacchione, Martina De Angeli, Sara Scalise, Gabriele Ciasca, Francesco Pastore, Víctor González-Pérez, Francesco Miccichè, Mariangela Massaccesi, Maria Antonietta Gambacorta, Jacopo Galli, Francesco Bussu, Marco De Spirito, Luca Tagliaferri Journal of Contemporary Brachytherapy, 2025
PRO-NOVELTY: Patient-Reported Outcomes in NOse VEstibule interventionaL radioTherapY (brachytherapy) Luca Tagliaferri, Elisabetta Sciurti, Bruno Fionda, Antonella Loperfido, Valentina Lancellotta, Elisa Placidi, Claudio Parrilla, Maria Concetta La Milia, Enrico Rosa, Mario Rigante, Martina De Angeli, Patrizia Cornacchione, Jacopo Galli, Francesco Bussu, Maria Antonietta Gambacorta Journal of Clinical Medicine, 2024
Laser-Mediated antibacterial effects of Few- and Multi-Layer Ti3C2Tx MXenes Andreas Rosenkranz, Giordano Perini, Jose Y. Aguilar-Hurtado, Dario F. Zambrano, Bo Wang, Benedetta Niccolini, Patricia C. Henriques, Enrico Rosa, Flavio De Maio, Giovanni Delogu, Marco De Spirito, Valentina Palmieri, Massimiliano Papi Applied Surface Science, 2021
Impact of applicator curvature in contact interventional radiotherapy (brachytherapy) for skin cancer: Exploring the “Nautilus Effect” E Rosa, S Raponi, B Fionda, A Napolitano, V Lancellotta, M Vaccaro, ... Physica Medica 145, 105767 , 2026 2026 Citations: 1
Extracellular vesicles and interventional radiotherapy (modern brachytherapy): a translational gap analysis of dose-gradient-driven biological responses E Rosa, M Vaccaro, B Niccolini, B Fionda, R Di Santo, E Placidi, ... The European Physical Journal Plus 141 (4), 386 , 2026 2026
Development of an Enomogram to Predict the Rate of Loco-Regional Control After Radio-Chemotherapy and Interventional Radiotherapy in Cervical Cancer V Lancellotta, MC La Milia, R Autorino, E Rosa, B Fionda, P Dragonetti, ... Cancers 18 (7), 1096 , 2026 2026
Deep learning for synthetic PET imaging: a systematic mapping review of techniques, metrics, and clinical relevance M Vaccaro, E Rosa, E Placidi, A Guarnera, A Secinaro, C Gandolfo, ... European Radiology Experimental 10 (1), 12 , 2026 2026 Citations: 2
Dosimetric impact of air gaps and alginate support in contact interventional radiotherapy (brachytherapy) for auricular non-melanoma skin cancer E Rosa, S Raponi, B Fionda, A Napolitano, M Vaccaro, F Pastore, ... Physica Medica: European Journal of Medical Physics 142 , 2026 2026
Radio-chemotherapy and MR-Image Guided Interventional Radiotherapy in vaginal carcinoma: a monocentric experience V Lancellotta, MC La Milia, R Autorino, E Rosa, B Fionda, SM Fragomeni, ... 12th MRinRT Symposium , 2026 2026
MR-IMAGE-GUIDED ADAPTIVE INTERVENTIONAL RADIOTHERAPY (MODERN BRACHYTHERAPY) BOOST FOR VAGINAL RECURRENCES V Lancellotta, MC La Milia, M De Angeli, E Rosa, B Fionda, R Autorino, ... 12th MRinRT Symposium , 2026 2026
ENOMOGRAM TO PREDICT THE RATE OF LOCO-REGIONAL CONTROL AFTER RADIO-CHEMOTHERAPY AND INTERVENTIONAL RADIOTHERAPY IN CERVICAL CANCER V Lancellotta, MC La Milia, R Autorino, E Rosa, B Fionda, P Dragonetti, ... 12th MRinRT Symposium , 2026 2026
SMART: a Structured Multidisciplinary Approach for building an integrated paediatric interventional radiotherapy workflow B Fionda, E Meldolesi, GM Milano, A Crocoli, E Placidi, E Rosa, ... ESTRO 2026 , 2026 2026
Electronic Portal Imaging Devices (EPID)-Based In Vivo Dosimetry for VMAT Total Body Irradiation: Feasibility and Accuracy F Greco, M Vaccaro, G Stimato, S Teodoli, A Fidanzio, E Placidi, E Rosa, ... ESTRO 2026 , 2026 2026
Dose to cornea in Ruthenium-106 ocular interventional radiotherapy (modern brachytherapy) E Placidi, S Raponi, E Rosa, B Fionda, M Vaccaro, G Savino, L Tagliaferri ESTRO 2026 , 2026 2026
Impact of Ruthenium-106 plaque displacement in ocular interventional radiotherapy (modern brachytherapy) E Placidi, E Rosa, S Raponi, B Fionda, A Napolitano, F Greco, M Vaccaro, ... ESTRO 2026 , 2026 2026
Proof of concept: a 3D-printed modular applicator for intensity-modulated interventional radiotherapy (modern brachytherapy) B Fionda, E Placidi, E Rosa, M Vaccaro, G Ciasca, L Tagliaferri ESTRO 2026 , 2026 2026
Applicator Curvature Influence on the Efficacy of Contact Interventional Radiotherapy (Modern Brachytherapy) B Fionda, E Rosa, E Placidi, S Raponi, M Vaccaro, L Tagliaferri ESTRO 2026 , 2026 2026
Translational In Vitro Model for Ir-192 Interventional Radiotherapy (Modern Brachytherapy): Setup Validation and Dose Distribution Analysis E Rosa, B Niccolini, B Fionda, M Vaccaro, E Placidi, E Tabolacci, ... ESTRO 2026 , 2026 2026
Updated dosimetric comparison of HDR interventional radiotherapy (modern brachytherapy) with Cobalt-60 versus VMAT and electron beam therapy for NMSC E Placidi, S Sajjad, M Shahban, E Rosa, B Fionda, H Mehmood, ... ESTRO 2026 , 2026 2026
The role of Perioperative Interventional Radiotherapy (Modern Brachytherapy) as a boost in the management of Locally Advanced Rectal Cancer (LARC) B Fionda, MC La Milia, E Rosa, V Lancellotta, L Di Maio Elisa Placidi, ... ESTRO 2026 , 2026 2026
Dosimetric evaluation of the TIMER applicator using TG-43 and TG-186 formalisms in interventional radiotherapy (modern brachytherapy) B Fionda, E Rosa, E Placidi, P Dragonetti, V Lancellotta, S Manfrida, ... ESTRO 2026 , 2026 2026
Radio-chemotherapy and interventional radiotherapy (modern brachitherapy) in vaginal carcinoma: a monocentric experience V Lancellotta, G Macchia, G Garganese, MC La Milia, B Fionda, ... ESTRO 2026 , 2026 2026
Feasibility and dosimetric quality of Linac-based VMAT Total Body Irradiation F Greco, M Vaccaro, G Stimato, S Teodoli, A Fidanzio, E Placidi, E Rosa, ... ESTRO 2026 , 2026 2026
MOST CITED SCHOLAR PUBLICATIONS
Laser-mediated antibacterial effects of few-and multi-layer Ti3C2Tx MXenes A Rosenkranz, G Perini, JY Aguilar-Hurtado, DF Zambrano, B Wang, ... Applied Surface Science 567, 150795 , 2021 2021 Citations: 93
Advanced usage of Ti3C2Tx MXenes for photothermal therapy on different 3D breast cancer models G Perini, A Rosenkranz, G Friggeri, D Zambrano, E Rosa, A Augello, ... Biomedicine & Pharmacotherapy 153, 113496 , 2022 2022 Citations: 77
The proton-boron reaction increases the radiobiological effectiveness of clinical low-and high-energy proton beams: novel experimental evidence and perspectives P Bláha, C Feoli, S Agosteo, M Calvaruso, FP Cammarata, R Catalano, ... Frontiers in Oncology 11, 682647 , 2021 2021 Citations: 76
3D-printed graphene polylactic acid devices resistant to SARS-CoV-2: Sunlight-mediated sterilization of additive manufactured objects F De Maio, E Rosa, G Perini, A Augello, B Niccolini, F Ciaiola, G Santarelli, ... Carbon 194, 34-41 , 2022 2022 Citations: 38
INSIDIA 2.0 high-throughput analysis of 3D cancer models: multiparametric quantification of graphene quantum dots photothermal therapy for glioblastoma and pancreatic cancer G Perini, E Rosa, G Friggeri, L Di Pietro, M Barba, O Parolini, G Ciasca, ... International Journal of Molecular Sciences 23 (6), 3217 , 2022 2022 Citations: 30
COMIRI–COMplexity Index of interventional Radiotherapy (brachytherapy) Implants: assessment of procedures based on type, equipment, and team B Fionda, E Placidi, V Lancellotta, E Rosa, M De Angeli, P Wojcieszek, ... Journal of Contemporary Brachytherapy 16 (1) , 2024 2024 Citations: 21
Multilayer intensity modulated contact interventional radiotherapy (brachytherapy): Stretching the therapeutic window in skin cancer B Fionda, E Placidi, E Rosa, V Lancellotta, G Stimato, M De Angeli, ... Journal of contemporary brachytherapy 15 (3), 220-223 , 2023 2023 Citations: 19
Interventional radiotherapy (brachytherapy) for nasal vestibule: novel strategies to prevent side effects B Fionda, F Bussu, E Placidi, E Rosa, V Lancellotta, C Parrilla, T Zinicola, ... Journal of Clinical Medicine 12 (19), 6154 , 2023 2023 Citations: 14
Dosimetric impact of applying a model-based dose calculation algorithm for skin cancer brachytherapy (interventional radiotherapy) E Placidi, B Fionda, E Rosa, V Lancellotta, A Napolitano, M De Angeli, ... Journal of contemporary brachytherapy 15 (6), 448-452 , 2023 2023 Citations: 13
Defining the immunological compatibility of graphene oxide-loaded PLGA scaffolds for biomedical applications A Papait, G Perini, V Palmieri, A Cargnoni, E Vertua, A Pasotti, E Rosa, ... Biomaterials Advances 165, 214024 , 2024 2024 Citations: 9
3D-Printed Devices in Interventional Radiotherapy (Brachytherapy) Applications: A Literature Review E Rosa, S Raponi, B Fionda, M Vaccaro, V Lancellotta, A Napolitano, ... Journal of Personalized Medicine 15 (6), 262 , 2025 2025 Citations: 7
Quality control strategies for head and neck brachytherapy (interventional radiotherapy) B Fionda, E Placidi, E Rosa, V Lancellotta, M Vaccaro, P Cornacchione, ... Journal of contemporary brachytherapy 17 (1) , 2025 2025 Citations: 4
Sensing biomechanical alterations in red blood cells of type 1 diabetes patients: potential markers for microvascular complications R Di Santo, B Niccolini, A Rizzi, L Bertini, DP Marafon, M Vaccaro, ... Biosensors 14 (12), 587 , 2024 2024 Citations: 4
Quantum Neural Networks in Magnetic Resonance Imaging: Advancing Diagnostic Precision Through Emerging Computational Paradigms E Rosa, M Vaccaro, E Placidi, ML D’Andrea, F Liporace, GL Natali, ... Computers 14 (12), 529 , 2025 2025 Citations: 3
Artificial Intelligence for Liquid Biopsy: FTIR Spectroscopy and Autoencoder-Based Detection of Cancer Biomarkers in Extracellular Vesicles R Di Santo, B Niccolini, E Rosa, M De Spirito, F Pizzolante, D Pitocco, ... Cells 14 (23), 1909 , 2025 2025 Citations: 3
Retrospective dosimetric comparison of HDR interventional radiotherapy (brachytherapy) versus planning with VMAT and electron beam therapy for non-melanoma skin cancer treatment E Placidi, B Fionda, E Rosa, V Lancellotta, A Napolitano, M De Angeli, ... Applied Sciences 14 (22), 10669 , 2024 2024 Citations: 3
Deep learning for synthetic PET imaging: a systematic mapping review of techniques, metrics, and clinical relevance M Vaccaro, E Rosa, E Placidi, A Guarnera, A Secinaro, C Gandolfo, ... European Radiology Experimental 10 (1), 12 , 2026 2026 Citations: 2
A gap analysis integrating In vitro-Research in HDR interventional radiotherapy (Modern Brachytherapy): Challenges, limitations, and future directions E Rosa, B Niccolini, R Di Santo, B Fionda, M Vaccaro, E Placidi, ... Applied Radiation and Isotopes, 112284 , 2025 2025 Citations: 2
PRO-NOVELTY: Patient-Reported Outcomes in NOse VEstibule interventionaL radioTherapY (brachytherapy) L Tagliaferri, E Sciurti, B Fionda, A Loperfido, V Lancellotta, E Placidi, ... Journal of Clinical Medicine 13 (16), 4683 , 2024 2024 Citations: 2
Impact of applicator curvature in contact interventional radiotherapy (brachytherapy) for skin cancer: Exploring the “Nautilus Effect” E Rosa, S Raponi, B Fionda, A Napolitano, V Lancellotta, M Vaccaro, ... Physica Medica 145, 105767 , 2026 2026 Citations: 1
