Article
Engineering, Biomedical
Yuan Chen, Marlies C. Goorden, Freek J. Beekman
Summary: The study investigated the feasibility of CNN methods for axially focused I-123-FP-CIT scans, showing that CNN-AC can significantly improve the quantitative accuracy of localized regions.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Neurosciences
Cecilia Boccalini, Giulia Carli, Andrea Pilotto, Alessandro Padovani, Daniela Perani
Summary: This study investigated the impact of gender differences on clinical features, dopaminergic dysfunction, and connectivity in patients with Parkinson's disease across different clinical subtypes. Results showed that males and females with idiopathic PD exhibit distinct vulnerabilities and disease expressions, particularly in cognitive function, anxiety symptoms, and dopaminergic binding patterns in different brain regions.
NEUROBIOLOGY OF DISEASE
(2022)
Article
Clinical Neurology
Eun Hye Jeong, Mun Kyung Sunwoo, Jae Yong Lee, Sun-Ku Han, Sung Wook Hyung, Yoo Sung Song
Summary: This study estimated the asymmetry of specific binding ratio (SBR) of I-123 FP-CIT SPECT images during 4-years of follow up in Parkinson's disease (PD) patients. The results showed that the second method of calculating the asymmetry index revealed a more significant decrease over the 4-year follow up period. Furthermore, the baseline asymmetry index was significantly correlated with the non-dominant putamen SBRs and could be used to predict and evaluate the natural course of PD.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Hiroo Terashi, Takeshi Taguchi, Yuki Ueta, Hiroshi Mitoma, Hitoshi Aizawa
Summary: The results of this study showed that I-123-FP-CIT-SPECT findings were significantly associated with motor severity and gait severity in drug-naive patients with Parkinson's disease (PD), particularly the mean specific binding ratios of the striatum and anterior putamen.
JOURNAL OF THE NEUROLOGICAL SCIENCES
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
M. Dotinga, J. D. van Dijk, B. N. Vendel, C. H. Slump, A. T. Portman, J. A. van Dalen
Summary: The study aimed to develop and validate a machine learning-based approach for interpreting I-123 FP-CIT SPECT scans to discriminate Parkinson's disease. The results showed that the method was generalizable in two centers and accurately differentiated PD from non-PD, with performance comparable to that of nuclear medicine physicians.
ANNALS OF NUCLEAR MEDICINE
(2021)
Article
Neurosciences
Lars Frings, Franziska Henninger, Martin Treppner, Goran Koeber, Martin Boeker, Philipp T. Meyer
Summary: DAT SPECT, commonly used in dementia diagnostics, has been found to provide valuable prognostic information. Patients with nigrostriatal degeneration (NSD) detected by DAT SPECT have a significantly higher mortality risk compared to those without NSD, with lower striatal DAT binding associated with increased mortality risk.
JOURNAL OF ALZHEIMERS DISEASE
(2021)
Article
Computer Science, Artificial Intelligence
Diego Castillo-Barnes, Carmen Jimenez-Mesa, Francisco J. Martinez-Murcia, Diego Salas-Gonzalez, Javier Ramirez, Juan M. Gorriz
Summary: Spatial normalization allows quantitative comparison of brain scans and the quantification of bias introduced by nonlinear transformations is important for studying neurological disorders. Nonlinear transformations can alter diagnosis outcomes and introduce artificial information.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yuliya Piatkova, Pierre Payoux, Caroline Boursier, Manon Bordonne, Veronique Roch, Pierre-Yves Marie, Gabriela Hossu, Laetitia Imbert, Antoine Verger
Summary: This study compared I-123-FP-CIT SPECT imaging obtained from a 360 degrees CZT camera with different focus configurations to that from a conventional Anger camera. The results showed that the 360 degrees CZT camera provided higher image quality, shorter acquisition times, and fewer discordant cases compared to the conventional camera, possibly due to its higher spatial resolution.
CLINICAL NUCLEAR MEDICINE
(2022)
Article
Medicine, General & Internal
KyungAh Chun, EunJung Kong, IhnHo Cho
Summary: This study demonstrates a strong correlation between regional brain uptake ratios (URs) in perfusion FP-CIT PET and ECD SPECT images in patients with Parkinson's symptoms, especially in dopamine poor regions. The findings suggest that a single tracer dual phase N-3-fluoropropyl-2-beta-carboxymethoxy-3-beta-(4-iodophenyl) nortropane test may aid in the differential diagnosis of parkinsonian disorders. Further large-scale, longitudinal studies are needed to investigate the changes in correlations between perfusion F-18-FP-CIT PET/CT and Tc-99m-ECD SPECT over time in diseases with parkinsonian patterns.
Review
Clinical Neurology
Balestrino Roberta, Barone Paolo, Filippi Massimo, Erro Roberto
Summary: Although the diagnosis of Parkinson's disease relies on clinical presentation, the use of imaging techniques, particularly DAT imaging, can aid in differential diagnosis. Structural lesions and certain medications may alter the results of DAT imaging, and unexpected findings such as SWEDD or SWIDD should be considered.
JOURNAL OF NEUROLOGY
(2022)
Article
Multidisciplinary Sciences
Mahmood Nazari, Andreas Kluge, Ivayla Apostolova, Susanne Klutmann, Sharok Kimiaei, Michael Schroeder, Ralph Buchert
Summary: This study utilized explainable artificial intelligence to identify extrastriatal brain regions that could assist in the interpretation of dopamine transporter SPECT in parkinsonian syndromes. The study found that besides the striatum, other brain regions like insula, amygdala, and prefrontal cortex also played a significant role in differentiating neurodegenerative and non-neurodegenerative parkinsonian syndromes.
SCIENTIFIC REPORTS
(2021)
Article
Biology
Maria Silvia De Feo, Viviana Frantellizzi, Nicoletta Locuratolo, Arianna Di Rocco, Alessio Farcomeni, Caterina Pauletti, Andrea Marongiu, Julia Lazri, Susanna Nuvoli, Francesco Fattapposta, Giuseppe De Vincentis, Angela Spanu
Summary: This multicenter retrospective study aimed to assess the diagnostic accuracy of 123I-FP-CIT (DAT-SPECT), 123I-MIBG (mIBG-scintigraphy), or a combination of both exams in de novo Parkinson's disease patients. The results showed that mIBG-scintigraphy has higher diagnostic accuracy in de novo Parkinson's disease patients compared to DAT-SPECT. Therefore, the combined use of both exams does not appear to be mandatory in the early phase of Parkinson's disease.
Article
Radiology, Nuclear Medicine & Medical Imaging
Felix Thiele, Franziska Schau, Julian M. M. Rogasch, Christoph Wetz, Stephanie Bluemel, Winfried Brenner, Holger Amthauer, Catharina Lange, Imke Schatka
Summary: The study aimed to establish a normal database for semiquantification of DAT SPECT using [I-123]FP-CIT on a CZT camera, compare it with the preexisting NaI-derived database, and evaluate its diagnostic findings. The results showed that semiquantification based on the CZT NDB led to fewer discordant ratings compared to the GE NDB in CZT scans, improving agreement between semiquantification and visual assessment.
Article
Clinical Neurology
Claudia Del Gamba, Antonino Bruno, Daniela Frosini, Duccio Volterrani, Gianmichele Migaleddu, Nicola Benedetto, Paolo Perrini, Claudio Pacchetti, Mirco Cosottini, Ubaldo Bonuccelli, Roberto Ceravolo
Summary: iNPH is a debated condition with controversial pathogenesis and diagnostic criteria. Parkinsonian signs are frequently reported, which may or may not be related to an underlying neurodegenerative parkinsonism, and distinguishing between the two is crucial for predicting long-term response to cerebrospinal fluid drainage.
NEUROLOGICAL SCIENCES
(2021)
Article
Computer Science, Information Systems
Ali Keles, Ayturk Keles, Mustafa Berk Keles, Ali Okatan
Summary: This study demonstrates the successful retraining of a network architecture, originally developed for COVID-19 diagnosis, for the detection of Parkinson's disease using SPECT images. The retrained neural network, PARNet, shows outstanding performance in diagnosing PD and has the potential to improve the diagnosis and treatment of the disease.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Review
Medicine, Research & Experimental
Luca Filippi, Agostino Chiaravalloti, Pietro Basile, Orazio Schillaci, Oreste Bagni
Summary: Prostate cancer is one of the most common tumors in males and a major cause of death in Western countries. When standard treatment fails, novel therapies have dramatically improved the prognosis of advanced prostate cancer. However, there is a need for imaging biomarkers to assess treatment response and personalize therapeutic approaches.
CURRENT MOLECULAR MEDICINE
(2022)
Review
Pathology
Luca Filippi, Orazio Schillaci, Barbara Palumbo
Summary: Molecular neuroimaging with Tau-PET is an intriguing tool for the in vivo detection and monitoring of neuropathological hallmarks associated with CTE. Novel tracers, such as TSPO-ligands, hold promise for understanding the complex mechanisms leading from brain injury to symptomatic CTE.
EXPERT REVIEW OF MOLECULAR DIAGNOSTICS
(2022)
Article
Automation & Control Systems
Enrico Bellocchio, Francesco Crocetti, Gabriele Costante, Mario Luca Fravolini, Paolo Valigi
Summary: Autonomous systems have revolutionized agriculture with their resource optimization and labor-saving capabilities. However, existing solutions for monitoring activities in agriculture, such as yield estimation, rely on expensive robotic platforms equipped with range devices. This paper proposes a novel approach that uses vision-based strategies and a weakly-supervised paradigm to perform yield estimation using only a monocular camera and limited supervision information. The proposed approach reduces deployment time, energy consumption, and cost, while maintaining performance comparable to fully supervised baselines and classical sensor-based systems.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Engineering, Mechanical
Nicholas Cartocci, Marcello R. Napolitano, Gabriele Costante, Paolo Valigi, Mario L. Fravolini
Summary: A robust data-driven scheme for Fault Detection, Isolation and Estimation of multiple sensor faults is proposed and validated. The scheme achieves robustness to modeling uncertainty and noise through optimized design. The proposed scheme is applied to a set of 8 sensors of a semi-autonomous aircraft and compared with other multiple Fault Diagnosis schemes.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Chemistry, Analytical
Nicholas Cartocci, Marcello R. Napolitano, Francesco Crocetti, Gabriele Costante, Paolo Valigi, Mario L. Fravolini
Summary: This paper proposes a non-linear additive model to characterize the non-linear redundancy relationships among the system signals. Using the multivariate adaptive regression splines (MARS) algorithm, these relationships are identified directly from the data and then linearized to derive a fault signature matrix. The faulty sensor can be isolated by measuring the angular distance between the fault signature matrix and the primary residual vector. Real data from multiple flights of a semi-autonomous aircraft is utilized for a quantitative analysis and comparison with state-of-the-art machine-learning-based fault diagnosis algorithms.
Letter
Radiology, Nuclear Medicine & Medical Imaging
B. Palumbo, F. Bianconi, M. L. Fravolini, I. Palumbo, S. Nuvoli, A. Spanu
REVISTA ESPANOLA DE MEDICINA NUCLEAR E IMAGEN MOLECULAR
(2022)
Editorial Material
Engineering, Biomedical
Luca Filippi
EXPERT REVIEW OF MEDICAL DEVICES
(2023)
Article
Engineering, Biomedical
Luca Filippi, Barbara Palumbo, Viviana Frantellizzi, Susanna Nuvoli, Giuseppe De Vincentis, Angela Spanu, Orazio Schillaci
Summary: PSMA has emerged as an important target for prostate cancer diagnosis and therapy. This study reviews different methods for labeling PSMA ligands with gamma-emitting nuclides and discusses the applications of these tracers in imaging PC patients. The use of PSMA-targeted SPECT tracers in radioguided surgery is also explored. Expert opinion suggests that radioguided surgery has shown promising results and PSMA-targeted SPECT/CT may be a cost-effective alternative to PSMA PET/CT.
EXPERT REVIEW OF MEDICAL DEVICES
(2022)
Article
Medicine, General & Internal
Andrea Marongiu, Susanna Nuvoli, Andrea De Vito, Maria Rondini, Angela Spanu, Giuseppe Madeddu
Summary: The study revealed that papillary carcinoma patients with Graves' disease exhibited more aggressive behavior during follow-up, especially those without risk factors. Furthermore, Graves' disease was identified as a potential predictive factor for tumor aggressiveness in cases without risk factors at diagnosis.
Review
Oncology
Laura Evangelista, Viviana Frantellizzi, Orazio Schillaci, Luca Filippi
Summary: This study reviewed the application of radiolabeled-FAPI in patients with pancreatic cancer, discussing its advantages, disadvantages, and future prospects, especially in the field of theragnostic. A literature search was performed in PubMed, EBSCO, and EMBASE databases, and 21 studies were selected for comprehensive analysis. The results showed that FAPI could better detect pancreatic malignant lesions, but further prospective studies are needed to validate its effectiveness.
EXPERT REVIEW OF ANTICANCER THERAPY
(2023)
Review
Pathology
Luca Filippi, Luca Urso, Francesco Bianconi, Barbara Palumbo, Maria Cristina Marzola, Laura Evangelista, Orazio Schillaci
Summary: In the past decade, two new radionuclide-based therapies, (223)Radichloride and radioligand therapy (RLT) targeting prostate-specific membrane antigen (PSMA), have been approved for the management of castrate-resistant prostate cancer (PCa). This article illustrates the basic principles of PCa molecular imaging, with a focus on the combined use of diagnosis and therapy for response prediction and assessment. Radiomics, an emerging discipline based on quantitative features extracted from medical images, is also discussed for its potential in this field.
EXPERT REVIEW OF MOLECULAR DIAGNOSTICS
(2023)
Review
Gastroenterology & Hepatology
Luca Filippi, Laura Evangelista, Orazio Schillaci
Summary: TARE with Y-90-labeled microspheres and ICIs has been effectively used for the treatment of advanced HCC and hepatic metastases. The potential synergy between Y-90-microspheres and ICIs in integrated therapeutic regimens is of great interest.
EXPERT REVIEW OF GASTROENTEROLOGY & HEPATOLOGY
(2023)
Review
Oncology
Luca Filippi, Orazio Schillaci
Summary: The study by Duan et al. introduces a promising molecular imaging technique that could aid in patient selection for EV therapy and the development of targeted drugs for UC. It also highlights the potential of LAFOV PET/CT in enhancing imaging precision and expanding future therapeutic possibilities for UC.
EXPERT REVIEW OF ANTICANCER THERAPY
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Francesco Bianconi, Mario Luca Fravolini, Giulia Pascoletti, Isabella Palumbo, Michele Scialpi, Cynthia Aristei, Barbara Palumbo
Summary: This study evaluated the correlation between morphological features and radiological attributes of lung nodules, finding a moderate correlation between computer-calculated features and manually-assigned visual scores.
MEDICAL IMAGE UNDERSTANDING AND ANALYSIS, MIUA 2022
(2022)
Article
Engineering, Biomedical
Luca Filippi, Oreste Bagni, Orazio Schillaci
Summary: Digital PET/CT with F-18-FACBC was evaluated in patients with early castration-resistant prostate cancer, and it was found that F-18-FACBC dPET/CT can detect M1 metastasis in 33.3% of patients, significantly impacting clinical management.
EXPERT REVIEW OF MEDICAL DEVICES
(2022)