Michele Fiore
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Michele Fiore has a total of 1000 co-authors. Here are the top co-authors by number of shared publications:
- Sara Ramella
Campus Bio Medico University Hospital, 00128 Rome, Italy
42 shared publications - Massimiliano De Paolis
Orthopedics and Traumatology Department, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
33 shared publications - Edy Ippolito
Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy
32 shared publications - Andrea Sambri
Orthopedic and Traumatology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
31 shared publications - Rolando Maria D Angelillo
Radiotherapy, Department of Biomedicine and Prevention, Università degli Studi di Roma or Vergata, Roma, Italy.
23 shared publications Lucio Trodella
Radiation Oncology, Campus Bio-Medico University, Rome
17 shared publications
Latest Publications
- Open Access
Head-to-Head Comparison of Magic Leap 2 and HoloLens 2 Using Patient-Specific Phantoms in Orthopedic Oncology: A Feasibility Study
Augmented reality (AR) represents an emerging technology that is increasingly being integrated into surgical navigation across various medical disciplines, including orthopedic surgery. This preclinical study investigated the application of AR in orthopedic oncology and performed a comparative assessment of two head-mounted displays (HMDs): Microsoft HoloLens 2 and Magic Leap 2. The study evaluated the feasibility of AR-assisted tracing of planned osteotomies for bone tumor resections in orthopedic surgery. The objective was to evaluate the visualization capabilities, spatial guidance performance, and user interaction provided by the two AR platforms under controlled preclinical conditions. Accuracy of AR-guided tracing of planned osteotomies was quantified using custom cutting guides incorporating grooves of 1 mm, 2 mm, and 3 mm to measure deviations from the planned osteotomy lines. Both AR HMDs were tested under identical experimental conditions, and their performance and accuracy were comparatively analyzed. Magic Leap 2 demonstrated a trend toward greater accuracy in AR-guided tracing of osteotomies, achieving 82%, 95%, and 100% accuracy within 1 mm, 2 mm, and 3 mm thresholds of the planned osteotomy lines, respectively. In comparison, the HoloLens 2 achieved 65%, 85%, and 95% accuracy within the same respective thresholds. Ergonomic assessment also suggested favorable user comfort and handling characteristics for Magic Leap 2. Further studies involving larger cohorts and comparisons with established navigation techniques are required to confirm the potential advantages of HMD-based AR guidance for bone tumor resections and other orthopedic procedures.
Open AccessHead-to-Head Comparison of Magic Leap 2 and HoloLens 2 Using Patient-Specific Phantoms in Orthopedic Oncology: A Feasibility Study
Augmented reality (AR) represents an emerging technology that is increasingly being integrated into surgical navigation across various medical disciplines, including orthopedic surgery. This preclinical study investigated the application of AR in orthopedic oncology and performed a comparative assessment of two head-mounted displays (HMDs): Microsoft HoloLens 2 and Magic Leap 2. The study evaluated the feasibility of AR-assisted tracing of planned osteotomies for bone tumor resections in orthopedic surgery. The objective was to evaluate the visualization capabilities, spatial guidance performance, and user interaction provided by the two AR platforms under controlled preclinical conditions. Accuracy of AR-guided tracing of planned osteotomies was quantified using custom cutting guides incorporating grooves of 1 mm, 2 mm, and 3 mm to measure deviations from the planned osteotomy lines. Both AR HMDs were tested under identical experimental conditions, and their performance and accuracy were comparatively analyzed. Magic Leap 2 demonstrated a trend toward greater accuracy in AR-guided tracing of osteotomies, achieving 82%, 95%, and 100% accuracy within 1 mm, 2 mm, and 3 mm thresholds of the planned osteotomy lines, respectively. In comparison, the HoloLens 2 achieved 65%, 85%, and 95% accuracy within the same respective thresholds. Ergonomic assessment also suggested favorable user comfort and handling characteristics for Magic Leap 2. Further studies involving larger cohorts and comparisons with established navigation techniques are required to confirm the potential advantages of HMD-based AR guidance for bone tumor resections and other orthopedic procedures.
- Open Access
- 26 October 2026
- Published by Elsevier in Surgical Oncology
- Vol. 69
International survey on neoadjuvant treatments in anatomically resectable pancreatic adenocarcinoma (INSPIRA): a real-life snapshot
- 26 October 2026
- Published by Elsevier in Surgical Oncology
- Vol. 69
Open AccessInternational survey on neoadjuvant treatments in anatomically resectable pancreatic adenocarcinoma (INSPIRA): a real-life snapshot
- 2 July 2026
- Published by Elsevier in European Journal of Cancer
- Vol. 245, 116911
Mismatch repair deficiency or microsatellite instability in locally advanced rectal cancer patients treated with total neoadjuvant therapy
- 2 July 2026
- Published by Elsevier in European Journal of Cancer
- Vol. 245, 116911
Mismatch repair deficiency or microsatellite instability in locally advanced rectal cancer patients treated with total neoadjuvant therapy
- Open Access
- 14 May 2026
- Published by MDPI AG in Diagnostics
- Vol. 16 (10) , 1499
Exploratory PET/CT Radiomics for Predicting Early Progression in Locally Advanced Pancreatic Cancer
Background/Objectives: Early progression (EP) occurs in a subset of patients with locally advanced pancreatic cancer (LAPC), limiting the clinical benefit of treatment, and it remains difficult to predict. Methods: We developed a multiparametric predictive model integrating baseline 18F-FDG PET/CT radiomic features with clinical and biological data. A total of 242 radiomic features were extracted from each imaging modality (CT and PET), including first-order, gray-level co-occurrence matrix (GLCM), and local binary pattern (LBP-TOP) features, and combined with PET-derived metrics and clinical variables. Model development included cross-validation procedures and rigorous feature selection, followed by the training of a two-level decision tree classifier. Results: The model achieved an accuracy of 80.7% and an area under the curve (AUC) of 0.83. Integrated analysis of CT and PET texture enabled the identification of patients at high risk of EP prior to treatment initiation. Conclusions: PET/CT-based radiomic biomarkers, combined with clinical data, can non-invasively capture tumor heterogeneity and improve risk stratification in LAPC, supporting more personalized therapeutic decision-making.
- 14 May 2026
- Published by MDPI AG in Diagnostics
- Vol. 16 (10) , 1499
Open AccessExploratory PET/CT Radiomics for Predicting Early Progression in Locally Advanced Pancreatic Cancer
Background/Objectives: Early progression (EP) occurs in a subset of patients with locally advanced pancreatic cancer (LAPC), limiting the clinical benefit of treatment, and it remains difficult to predict. Methods: We developed a multiparametric predictive model integrating baseline 18F-FDG PET/CT radiomic features with clinical and biological data. A total of 242 radiomic features were extracted from each imaging modality (CT and PET), including first-order, gray-level co-occurrence matrix (GLCM), and local binary pattern (LBP-TOP) features, and combined with PET-derived metrics and clinical variables. Model development included cross-validation procedures and rigorous feature selection, followed by the training of a two-level decision tree classifier. Results: The model achieved an accuracy of 80.7% and an area under the curve (AUC) of 0.83. Integrated analysis of CT and PET texture enabled the identification of patients at high risk of EP prior to treatment initiation. Conclusions: PET/CT-based radiomic biomarkers, combined with clinical data, can non-invasively capture tumor heterogeneity and improve risk stratification in LAPC, supporting more personalized therapeutic decision-making.
- Open Access
Conventionally Fractionated Radiotherapy (CFRT) Versus Stereotactic Body Radiotherapy (SBRT) for Locally Advanced Pancreatic Cancer: A Systematic Review and Meta-Analysis of Comparative Studies
Background: Stereotactic body radiotherapy (SBRT) has gained increasing interest in the treatment of locally advanced pancreatic cancer (LAPC), although its effectiveness has not been defined in randomized trials. This systematic review and meta-analysis aimed to compare clinical outcomes and treatment-related toxicity between SBRT and CFRT in LAPC. Methods: This analysis was performed in accordance with PRISMA guidelines (PROSPERO: CRD420251128943). MEDLINE and Scopus were searched for comparative studies published between January 2015 and July 2025. Five retrospective studies comprising 768 patients fulfilled the eligibility criteria. Pooled hazard ratios (HRs) were calculated for overall survival (OS) and progression-free survival (PFS), while risk ratios (RRs) were estimated for severe (grade ≥ 3) acute toxicity using random-effects models. Study quality was evaluated using the ROBINS-I tool. Results: No significant OS or PFS differences were observed between SBRT and CFRT. SBRT was associated with a lower incidence of severe acute toxicity. The overall risk of bias across studies was moderate. Conclusions: SBRT appears to achieve survival outcomes comparable to CFRT with a favorable acute toxicity profile in patients with LAPC. Nevertheless, the current evidence is limited by retrospective designs and heterogeneity, highlighting the need for prospective randomized trials to define the role of SBRT in this setting.
Open AccessConventionally Fractionated Radiotherapy (CFRT) Versus Stereotactic Body Radiotherapy (SBRT) for Locally Advanced Pancreatic Cancer: A Systematic Review and Meta-Analysis of Comparative Studies
Background: Stereotactic body radiotherapy (SBRT) has gained increasing interest in the treatment of locally advanced pancreatic cancer (LAPC), although its effectiveness has not been defined in randomized trials. This systematic review and meta-analysis aimed to compare clinical outcomes and treatment-related toxicity between SBRT and CFRT in LAPC. Methods: This analysis was performed in accordance with PRISMA guidelines (PROSPERO: CRD420251128943). MEDLINE and Scopus were searched for comparative studies published between January 2015 and July 2025. Five retrospective studies comprising 768 patients fulfilled the eligibility criteria. Pooled hazard ratios (HRs) were calculated for overall survival (OS) and progression-free survival (PFS), while risk ratios (RRs) were estimated for severe (grade ≥ 3) acute toxicity using random-effects models. Study quality was evaluated using the ROBINS-I tool. Results: No significant OS or PFS differences were observed between SBRT and CFRT. SBRT was associated with a lower incidence of severe acute toxicity. The overall risk of bias across studies was moderate. Conclusions: SBRT appears to achieve survival outcomes comparable to CFRT with a favorable acute toxicity profile in patients with LAPC. Nevertheless, the current evidence is limited by retrospective designs and heterogeneity, highlighting the need for prospective randomized trials to define the role of SBRT in this setting.
- Open Access
- 4 January 2026
- Published by Springer Nature in Health Information Science and Systems
- Vol. 14 (1) , 20
Predicting lung cancer survival with attention-based CT slices combination
Accurate prognosis of Non-Small Cell Lung Cancer (NSCLC) is crucial for enhancing patient care and treatment outcomes. Despite the advancements in deep learning, the task of overall survival prediction in NSCLC has not fully leveraged these techniques, yet. This study introduces a novel methodology for predicting 2-year overall survival (OS) in NSCLC patients using CT scans. Our approach integrates CT scan representations produced by EfficientNetB0 with a soft attention mechanism to identify the most relevant slices for survival risk prediction, which are then analyzed by a risk-assessment network. To validate our method and ensure reproducibility, we employed the public LUNG1 dataset and a smaller private dataset. Our approach was compared to benchmark 3D networks and two variants of our methodology: on the LUNG1 it outperformed the competitors achieving a mean $$C^{td}$$ -index of 0.584 over tenfold cross-validation. On the LUNG1 we also demonstrated the adaptability of our method with 5 other 2D backbones replacing the EfficientNetB0, confirming that our mechanism of combining 2D slice representations to construct a 3D volume representation is more effective for OS prediction compared to a traditional 3D approach. Finally, we used transfer learning on the private dataset, showing that it can significantly enhance performance in limited data scenarios, increasing the $$C^{td}$$ -index by 0.076 compared to model without transfer learning.- 4 January 2026
- Published by Springer Nature in Health Information Science and Systems
- Vol. 14 (1) , 20
Open AccessPredicting lung cancer survival with attention-based CT slices combination
Accurate prognosis of Non-Small Cell Lung Cancer (NSCLC) is crucial for enhancing patient care and treatment outcomes. Despite the advancements in deep learning, the task of overall survival prediction in NSCLC has not fully leveraged these techniques, yet. This study introduces a novel methodology for predicting 2-year overall survival (OS) in NSCLC patients using CT scans. Our approach integrates CT scan representations produced by EfficientNetB0 with a soft attention mechanism to identify the most relevant slices for survival risk prediction, which are then analyzed by a risk-assessment network. To validate our method and ensure reproducibility, we employed the public LUNG1 dataset and a smaller private dataset. Our approach was compared to benchmark 3D networks and two variants of our methodology: on the LUNG1 it outperformed the competitors achieving a mean $$C^{td}$$ -index of 0.584 over tenfold cross-validation. On the LUNG1 we also demonstrated the adaptability of our method with 5 other 2D backbones replacing the EfficientNetB0, confirming that our mechanism of combining 2D slice representations to construct a 3D volume representation is more effective for OS prediction compared to a traditional 3D approach. Finally, we used transfer learning on the private dataset, showing that it can significantly enhance performance in limited data scenarios, increasing the $$C^{td}$$ -index by 0.076 compared to model without transfer learning. - Open Access
- 14 October 2025
- Published by Springer Nature in European Journal of Orthopaedic Surgery & Traumatology
- Vol. 35 (1) , 1
Correction: Total HIP arthroplasty following pelvic irradiation: a systematic review focusing on the last two decades
- 14 October 2025
- Published by Springer Nature in European Journal of Orthopaedic Surgery & Traumatology
- Vol. 35 (1) , 1
Open AccessCorrection: Total HIP arthroplasty following pelvic irradiation: a systematic review focusing on the last two decades
- Open Access
- 25 August 2025
- Published by Elsevier in Physica Medica
- Vol. 137, 105076
In silico evaluation of the potential of very high energy electrons delivered in both conventional and FLASH regimes for the SBRT treatment of pancreatic cancer: A report of three case studies
- 25 August 2025
- Published by Elsevier in Physica Medica
- Vol. 137, 105076
Open AccessIn silico evaluation of the potential of very high energy electrons delivered in both conventional and FLASH regimes for the SBRT treatment of pancreatic cancer: A report of three case studies
- Open Access
- 1 August 2025
- Published by MDPI AG in Microbiology Research
- Vol. 16 (8) , 176
Protective Effects of Grape Seed Extract on Lipopolysaccharide Exposure and Radiation-Induced Intestinal Mucosal Damage: Insights from an In Vitro Study
Backgrounds and aim: Protective effects of natural compounds have been suggested in the prevention and treatment of radiation-induced mucositis or bacterial infections. In this study, the protective effects of proanthocyanidin-rich grape seed extract (GSE) on bacterial Lipopolysaccharide (LPS) and radiation-induced epithelial barrier damage and Reactive Oxygen Species (ROS) production were investigated in an in vitro model. Methods: Human intestinal epithelial cells Caco-2, previously treated with LPS, GSE, or LPS + GSE, were irradiated with 10 Gy divided into five daily treatments. Epithelial barrier integrity and ROS production were measured before and after each treatment. Results: Irradiation, at different doses, significantly increased intestinal permeability and ROS production; pretreatment with GSE was able to significantly prevent the increased intestinal permeability (4.63 ± 0.76 vs. 15.04 ± 1.5; p < 0.05) and ROS production (12.9 ± 1.08 vs. 1048 ± 0.5; p < 0.0001) induced by irradiation treatment. When the cells were pretreated with LPS, the same results were observed: GSE cotreatment was responsible for preventing permeability alterations (5.36 ± 0.16 vs. 49.26 ± 0.82; p < 0.05) and ROS production (349 ± 1 vs. 7897.67 ± 1.53; p < 0.0001) induced by LPS exposure when added to the irradiation treatment. Conclusions: The results of the present investigation demonstrated, in an in vitro model, that GSE prevents the damage to intestinal permeability and the production of ROS that are induced by LPS and ionizing radiation, suggesting a potential protective effect of this extract on the intestinal mucosa during irradiation treatment.
- 1 August 2025
- Published by MDPI AG in Microbiology Research
- Vol. 16 (8) , 176
Open AccessProtective Effects of Grape Seed Extract on Lipopolysaccharide Exposure and Radiation-Induced Intestinal Mucosal Damage: Insights from an In Vitro Study
Backgrounds and aim: Protective effects of natural compounds have been suggested in the prevention and treatment of radiation-induced mucositis or bacterial infections. In this study, the protective effects of proanthocyanidin-rich grape seed extract (GSE) on bacterial Lipopolysaccharide (LPS) and radiation-induced epithelial barrier damage and Reactive Oxygen Species (ROS) production were investigated in an in vitro model. Methods: Human intestinal epithelial cells Caco-2, previously treated with LPS, GSE, or LPS + GSE, were irradiated with 10 Gy divided into five daily treatments. Epithelial barrier integrity and ROS production were measured before and after each treatment. Results: Irradiation, at different doses, significantly increased intestinal permeability and ROS production; pretreatment with GSE was able to significantly prevent the increased intestinal permeability (4.63 ± 0.76 vs. 15.04 ± 1.5; p < 0.05) and ROS production (12.9 ± 1.08 vs. 1048 ± 0.5; p < 0.0001) induced by irradiation treatment. When the cells were pretreated with LPS, the same results were observed: GSE cotreatment was responsible for preventing permeability alterations (5.36 ± 0.16 vs. 49.26 ± 0.82; p < 0.05) and ROS production (349 ± 1 vs. 7897.67 ± 1.53; p < 0.0001) induced by LPS exposure when added to the irradiation treatment. Conclusions: The results of the present investigation demonstrated, in an in vitro model, that GSE prevents the damage to intestinal permeability and the production of ROS that are induced by LPS and ionizing radiation, suggesting a potential protective effect of this extract on the intestinal mucosa during irradiation treatment.
- Open Access
- 1 July 2025
- Published by MDPI AG in Journal of Clinical Medicine
- Vol. 14 (13) , 4662
Clinical Value of Bone Radiotherapy in a Prospective Cohort of Metastatic Breast Cancer Treated with Anti-CDK4/6
Background: CDK4/6 inhibitor plus ET is a standard treatment for advanced HR+ BC. This study evaluates the efficacy and safety of CDK4/6 inhibitors with concurrent RT (SBRT and non-SBRT) in terms of pain, analgesic therapy changes, toxicities, and net clinical benefit (NCB). Methods: BC patients with bone metastases treated with RT and CDK4/6 inhibitor in the prospective observational COMBART study were analyzed. Pain was measured with the NRS. The NCB was defined by pain reduction (NRS), toxicity, and treatment changes. Adverse events (AEs) were graded per CTCAE v5.0. Statistical tests included chi-square and t-test. Results: Forty patients were treated with CDK4/6 inhibitor (palbociclib 30.8%, ribociclib 51.3%, abemaciclib 17.9%) and RT (131 lesions; 100 SBRT, 31 non-SBRT). The mean NRS score dropped from 3.52 (pre-treatment) to 1.31 (post-treatment) (p < 0.001), with better outcomes for patients treated with moderate hypofractionation (58.6% vs. 39.9% pain relief, p = 0.016). Pain relief was independent of the type of CDK4/6 inhibitor used (p = NS). Analgesic reduction was most common with palbociclib (35.4%, p = 0.001). Eight toxicities (grade 1–2) were reported. The NCB was 0.6 overall, higher with non-SBRT (0.74 vs. 0.52). Conclusions: RT plus CDK4/6 inhibitor, especially with moderate hypofractionation, significantly reduced pain with manageable toxicity. Analgesic therapy can often continue without stopping CDK4/6 inhibitor.
- 1 July 2025
- Published by MDPI AG in Journal of Clinical Medicine
- Vol. 14 (13) , 4662
Open AccessClinical Value of Bone Radiotherapy in a Prospective Cohort of Metastatic Breast Cancer Treated with Anti-CDK4/6
Background: CDK4/6 inhibitor plus ET is a standard treatment for advanced HR+ BC. This study evaluates the efficacy and safety of CDK4/6 inhibitors with concurrent RT (SBRT and non-SBRT) in terms of pain, analgesic therapy changes, toxicities, and net clinical benefit (NCB). Methods: BC patients with bone metastases treated with RT and CDK4/6 inhibitor in the prospective observational COMBART study were analyzed. Pain was measured with the NRS. The NCB was defined by pain reduction (NRS), toxicity, and treatment changes. Adverse events (AEs) were graded per CTCAE v5.0. Statistical tests included chi-square and t-test. Results: Forty patients were treated with CDK4/6 inhibitor (palbociclib 30.8%, ribociclib 51.3%, abemaciclib 17.9%) and RT (131 lesions; 100 SBRT, 31 non-SBRT). The mean NRS score dropped from 3.52 (pre-treatment) to 1.31 (post-treatment) (p < 0.001), with better outcomes for patients treated with moderate hypofractionation (58.6% vs. 39.9% pain relief, p = 0.016). Pain relief was independent of the type of CDK4/6 inhibitor used (p = NS). Analgesic reduction was most common with palbociclib (35.4%, p = 0.001). Eight toxicities (grade 1–2) were reported. The NCB was 0.6 overall, higher with non-SBRT (0.74 vs. 0.52). Conclusions: RT plus CDK4/6 inhibitor, especially with moderate hypofractionation, significantly reduced pain with manageable toxicity. Analgesic therapy can often continue without stopping CDK4/6 inhibitor.