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20 results on '"Mattoli, M. V."'

1. Automated detection and classification of tumor histotypes on dynamic PET imaging data through machine-learning driven voxel classification

Author

Bianchetti, Giada, Taralli, Silvia, Vaccaro, Maria, Indovina, Luca, Mattoli, M. V., Capotosti, A., Scolozzi, V., Calcagni, Maria Lucia, Giordano, Alessandro, De Spirito, Marco, Maulucci, Giuseppe, Bianchetti G., Taralli S., Vaccaro M., Indovina L., Calcagni M. L. (ORCID:0000-0002-0805-8245), Giordano A. (ORCID:0000-0002-6978-0880), De Spirito M. (ORCID:0000-0003-4260-5107), Maulucci G. (ORCID:0000-0002-2154-319X), Bianchetti, Giada, Taralli, Silvia, Vaccaro, Maria, Indovina, Luca, Mattoli, M. V., Capotosti, A., Scolozzi, V., Calcagni, Maria Lucia, Giordano, Alessandro, De Spirito, Marco, Maulucci, Giuseppe, Bianchetti G., Taralli S., Vaccaro M., Indovina L., Calcagni M. L. (ORCID:0000-0002-0805-8245), Giordano A. (ORCID:0000-0002-6978-0880), De Spirito M. (ORCID:0000-0003-4260-5107), and Maulucci G. (ORCID:0000-0002-2154-319X)

Abstract

2-deoxy-2-fluorine-(18F)fluoro-D-glucose Positron Emission Tomography/Computed Tomography (18F-FDG-PET/CT) is widely used in oncology mainly for diagnosis and staging of various cancer types, including lung cancer, which is the most common cancer worldwide. Since histopathologic subtypes of lung cancer show different degree of 18F-FDG uptake, to date there are some diagnostic limits and uncertainties, hindering an 18F-FDG-PET-driven classification of histologic subtypes of lung cancers. On the other hand, since activated macrophages, neutrophils, fibroblasts and granulation tissues also show an increased 18F-FDG activity, infectious and/or inflammatory processes and post-surgical and post-radiation changes may cause false-positive results, especially for lymph-nodes assessment. Here we propose a model-free, machine-learning based algorithm for the automated classification of adenocarcinoma, the most common type of lung cancer, and other types of tumors. Input for the algorithm are dynamic acquisitions of PET data (dPET), providing for a spatially and temporally resolved characterization of the uptake kinetic. The algorithm consists in a trained Random Forest classifier which, relying contextually on several spatial and temporal features of 18F-FDG uptake, generates as an outcome probability maps allowing to distinguish adenocarcinoma from other lung histotype and to identify metastatic lymph-nodes, ultimately increasing the specificity of the technique. Its performance, evaluated on a dPET dataset of 19 patients affected by primary lung cancer, provides a probability 0.943 ± 0.090 for the detection of adenocarcinoma. The use of this algorithm will guarantee an automatic and more accurate localization and discrimination of tumors, also providing a powerful tool for detecting at which extent tumor has spread beyond a primary tumor into lymphatic system.

Published
2022

2. Biomarker-based stability in limbic-predominant amnestic mild cognitive impairment

Author

Tondo, G, Carli, G, Santangelo, R, Mattoli, M, Presotto, L, Filippi, M, Magnani, G, Iannaccone, S, Cerami, C, Perani, D, Tondo G., Carli G., Santangelo R., Mattoli M. V., Presotto L., Filippi M., Magnani G., Iannaccone S., Cerami C., Perani D., Tondo, G, Carli, G, Santangelo, R, Mattoli, M, Presotto, L, Filippi, M, Magnani, G, Iannaccone, S, Cerami, C, Perani, D, Tondo G., Carli G., Santangelo R., Mattoli M. V., Presotto L., Filippi M., Magnani G., Iannaccone S., Cerami C., and Perani D.

Abstract

Background: The amnestic presentation of mild cognitive impairment (aMCI) represents the most common prodromal stage of Alzheimer's disease (AD) dementia. There is, however, some evidence of aMCI with typical amnestic syndrome but showing long-term clinical stability. The ability to predict stability or progression to dementia in the aMCI condition is important, particularly for the selection of candidates in clinical trials. We aimed to establish the role of in vivo biomarkers, as assessed by cerebrospinal fluid (CSF) measures and [18F]fluorodeoxyglucose (FDG)-positron emission tomography (PET) imaging, in predicting prognosis in a large aMCI cohort. Methods: We conducted a retrospective study, including 142 aMCI subjects who had a long follow-up (4–19 years), baseline CSF data and [18F]FDG-PET scans individually assessed by validated voxel-based procedures, classifying subjects into either limbic-predominant or AD-like hypometabolism patterns. Results: The two aMCI cohorts were clinically comparable at baseline. At follow-up, the aMCI group with a limbic-predominant [18F]FDG-PET pattern showed clinical stability over a very long follow-up (8.20 ± 3.30 years), no decline in Mini-Mental State Examination score, and only 7% conversion to dementia. Conversely, the aMCI group with an AD-like [18F]FDG-PET pattern had a high rate of dementia progression (86%) over a shorter follow-up (6.47 ± 2.07 years). Individual [18F]FDG-PET hypometabolism patterns predicted stability or conversion with high accuracy (area under the curve = 0.89), sensitivity (0.90) and specificity (0.89). In the limbic-predominant aMCI cohort, CSF biomarkers showed large variability and no prognostic value. Conclusions: In a large series of clinically comparable subjects with aMCI at baseline, the specific [18F]FDG-PET limbic-predominant hypometabolism pattern was associated with clinical stability, making progression to AD very unlikely. The identificatio

Published
2021

3. Dynamic11 c-methionine pet-ct: Prognostic factors for disease progression and survival in patients with suspected glioma recurrence

Author

Mattoli, M. V., Trevisi, Giuseppe, Scolozzi, V., Capotosti, A., Cocciolillo, F., Marini, I., Mare, V., Indovina, Luca, Caulo, M., Saponiero, A., Balducci, Mario, Taralli, Silvia, Calcagni, Maria Lucia, Trevisi G., Indovina L., Balducci M. (ORCID:0000-0003-0398-9726), Taralli S., Calcagni M. L. (ORCID:0000-0002-0805-8245), Mattoli, M. V., Trevisi, Giuseppe, Scolozzi, V., Capotosti, A., Cocciolillo, F., Marini, I., Mare, V., Indovina, Luca, Caulo, M., Saponiero, A., Balducci, Mario, Taralli, Silvia, Calcagni, Maria Lucia, Trevisi G., Indovina L., Balducci M. (ORCID:0000-0003-0398-9726), Taralli S., and Calcagni M. L. (ORCID:0000-0002-0805-8245)

Abstract

Purpose: The prognostic evaluation of glioma recurrence patients is important in the therapeutic management. We investigated the prognostic value of11 C-methionine PET-CT (MET-PET) dynamic and semiquantitative parameters in patients with suspected glioma recurrence. Methods: Sixty-seven consecutive patients who underwent MET-PET for suspected glioma recurrence at MR were retrospectively included. Twenty-one patients underwent static MET-PET; 46/67 underwent dynamic MET-PET. In all patients, SUVmax, SUVmean and tumour-to-background ratio (T/B) were calculated. From dynamic acquisition, the shape and slope of time-activity curves, time-to-peak and its SUVmax (SUVmaxTTP ) were extrapolated. The prognostic value of PET parameters on progression-free (PFS) and overall survival (OS) was evaluated using Kaplan–Meier survival estimates and Cox regression. Results: The overall median follow-up was 19 months from MET-PET. Recurrence patients (38/67) had higher SUVmax (p = 0.001), SUVmean (p = 0.002) and T/B (p < 0.001); deceased patients (16/67) showed higher SUVmax (p = 0.03), SUVmean (p = 0.03) and T/B (p = 0.006). All static parameters were associated with PFS (all p < 0.001); T/B was associated with OS (p = 0.031). Regarding kinetic analyses, recurrence (27/46) and deceased (14/46) patients had higher SUVmaxTTP (p = 0.02, p = 0.01, respectively). SUVmaxTTP was the only dynamic parameter associated with PFS (p = 0.02) and OS (p = 0.006). At univariate analysis, SUVmax, SUVmean, T/B and SUVmaxTTP were predictive for PFS (all p < 0.05); SUVmaxTTP was predictive for OS (p = 0.02). At multivariate analysis, SUVmaxTTP remained significant for PFS (p = 0.03). Conclusion: Semiquantitative parameters and SUVmaxTTP were associated with clinical outcomes in patients with suspected glioma recurrence. Dynamic PET-CT acquisition, with static and kinetic parameters, can be a valuable non-invasive prognostic marker, identifying patients with worse prognosis who require personali

Published
2021

4. Usefulness of brain positron emission tomography with different tracers in the evaluation of patients with idiopathic normal pressure hydrocephalous

Author

Mattoli, M. V., Treglia, G., Calcagni, Maria Lucia, Mangiola, Annunziato, Anile, Carmelo, Trevisi, Giuseppe, Calcagni M. L. (ORCID:0000-0002-0805-8245), Mangiola A. (ORCID:0000-0002-1378-4524), Anile C. (ORCID:0000-0002-0481-9713), Trevisi G., Mattoli, M. V., Treglia, G., Calcagni, Maria Lucia, Mangiola, Annunziato, Anile, Carmelo, Trevisi, Giuseppe, Calcagni M. L. (ORCID:0000-0002-0805-8245), Mangiola A. (ORCID:0000-0002-1378-4524), Anile C. (ORCID:0000-0002-0481-9713), and Trevisi G.

Abstract

Idiopathic normal pressure hydrocephalus (iNPH) is the only form of dementia that can be cured by surgery. Its diagnosis relies on clinical and radiological criteria. Identifying patients who can benefit from surgery is challenging, as other neurological diseases can be concomitant or mimic iNPH. We performed a systematic review on the role of positron emission tomography (PET) in iNPH. We retrieved 35 papers evaluating four main functional aspects with different PET radiotracers: (1) PET with amyloid tracers, revealing Alzheimer’s disease (AD) pathology in 20–57% of suspected iNPH patients, could be useful in predictions of surgical outcome. (2) PET with radiolabeled water as perfusion tracer showed a global decreased cerebral blood flow (CBF) and regional reduction of CBF in basal ganglia in iNPH; preoperative perfusion parameters could predict surgical outcome. (3) PET with 2-Deoxy-2-[18F]fluoroglucose ([18F]FDG ) showed a global reduction of glucose metabolism without a specific cortical pattern and a hypometabolism in basal ganglia; [18F]FDG PET may identify a coexisting neurodegenerative disease, helping in patient selection for surgery; postsurgery increase in glucose metabolism was associated with clinical improvement. (4) Dopaminergic PET imaging showed a postsynaptic D2 receptor reduction and striatal upregulation of D2 receptor after treatment, associated with clinical improvement. Overall, PET imaging could be a useful tool in iNPH diagnoses and treatment response.

Published
2020

5. How Often Do We Fail to Classify the Treatment Response with [ 18 F]FDG PET/CT Acquired on Different Scanners? Data from Clinical Oncological Practice Using an Automatic Tool for SUV Harmonization

Author

Mattoli, M. V., Calcagni, M. L., Taralli, S., Indovina, L., Spottiswoode, B. S., Giordano, A., Calcagni M. L. (ORCID:0000-0002-0805-8245), Indovina L., Giordano A. (ORCID:0000-0002-6978-0880), Mattoli, M. V., Calcagni, M. L., Taralli, S., Indovina, L., Spottiswoode, B. S., Giordano, A., Calcagni M. L. (ORCID:0000-0002-0805-8245), Indovina L., and Giordano A. (ORCID:0000-0002-6978-0880)

Abstract

Purpose: Tumor response evaluated by 2-deoxy-2-[ 18 F]fluoro-d-glucose ([ 18 F]FDG) positron emission tomography/computed tomography (PET/CT) with standardized uptake value (SUV) is questionable when pre- and post-treatment PET/CT are acquired on different scanners. The aims of our study, performed in oncological patients who underwent pre- and post-treatment [ 18 F]FDG PET/CT on different scanners, were (1) to evaluate whether EQ·PET, a proprietary SUV inter-exams harmonization tool, modifies the EORTC tumor response classification and (2) to assess which classification (harmonized and non-harmonized) better predicts clinical outcome. Procedures: We retrospectively identified 95 PET pairs (pre- and post-treatment) performed on different scanners (Biograph mCT, Siemens; GEMINI GXL, Philips) in 73 oncological patients (52F; 57.8 ± 16.3 years). An 8-mm Gaussian filter was applied for the Biograph protocol to meet the EANM/EARL harmonization standard; no filter was needed for GXL. SUVmax and SUVmaxEQ of the same target lesion in the pre- and post-treatment PET/CT were noted. For each PET pair, the metabolic response classification (responder/non-responder), derived from combining the EORTC response categories, was evaluated twice (with and without harmonization). In discordant cases, the association of each metabolic response classification with final clinical response assessment and survival data (2-year disease-free survival, DFS) was assessed. Results: On Biograph, SUVmaxEQ of all target lesions was significantly lower (p = 0.001) than SUVmax (8.5 ± 6.8 vs 12.5 ± 9.6; − 38.6 %). A discordance between the two metabolic response classifications (harmonized and non-harmonized) was found in 19/95 (20 %) PET pairs. In this subgroup (n = 19; mean follow-up, 33.9 ± 9 months), responders according to harmonized classification (n = 9) had longer DFS (47.5 months, 88.9 %) than responders (n = 10) according to non-harmonized classification (26.3&n

Published
2019

6. The kinetics of 18F-FDG in lung cancer: compartmental models and voxel analysis

Author

Silvestri, E., Scolozzi, V., Rizzo, G., Indovina, Luca, Castellaro, M., Mattoli, M. V., Graziano, P., Cardillo, G., Bertoldo, A., Calcagni, Maria Lucia, Indovina L., Calcagni M. L. (ORCID:0000-0002-0805-8245), Silvestri, E., Scolozzi, V., Rizzo, G., Indovina, Luca, Castellaro, M., Mattoli, M. V., Graziano, P., Cardillo, G., Bertoldo, A., Calcagni, Maria Lucia, Indovina L., and Calcagni M. L. (ORCID:0000-0002-0805-8245)

Abstract

Background: The validation of the most appropriate compartmental model that describes the kinetics of a specific tracer within a specific tissue is mandatory before estimating quantitative parameters, since the behaviour of a tracer can be different among organs and diseases, as well as between primary tumours and metastases. The aims of our study were to assess which compartmental model better describes the kinetics of 18F-Fluorodeoxygluxose(18F-FDG) in primary lung cancers and in metastatic lymph nodes; to evaluate whether quantitative parameters, estimated using different innovative technologies, are different between lung cancers and lymph nodes; and to evaluate the intra-tumour inhomogeneity. Results: Twenty-one patients (7 females; 71 ± 9.4 years) with histologically proved lung cancer, prospectively evaluated, underwent 18F-FDG PET-CT for staging. Spectral analysis iterative filter (SAIF) method was used to design the most appropriate compartmental model. Among the compartmental models arranged using the number of compartments suggested by SAIF results, the best one was selected according to Akaike information criterion (AIC). Quantitative analysis was performed at the voxel level. K1, Vb and Ki were estimated with three advanced methods: SAIF approach, Patlak analysis and the selected compartmental model. Pearson’s correlation and non-parametric tests were used for statistics. SAIF showed three possible irreversible compartmental models: Tr-1R, Tr-2R and Tr-3R. According to well-known 18F-FDG physiology, the structure of the compartmental models was supposed to be catenary. AIC indicated the Sokoloff’s compartmental model (3K) as the best one. Excellent correlation was found between Ki estimated by Patlak and by SAIF (R2 = 0.97, R2 = 0.94, at the global and the voxel level respectively), and between Ki estimated by 3K and by SAIF (R2 = 0.98, R2 = 0.95, at the global and the voxel level respectively). Using the 3K model, the lymph nodes showed higher mea

Published
2018

7. The predictive value of 18F-FDG PET-CT for assessing the clinical outcomes in locally advanced NSCLC patients after a new induction treatment: Low-dose fractionated radiotherapy with concurrent chemotherapy

Author

Mattoli, M. V., Massaccesi, Mariangela, Castelluccia, A., Scolozzi, V., Mantini, Giovanna, Calcagni, Maria Lucia, Massaccesi M., Mantini G. (ORCID:0000-0001-5303-4499), Calcagni M. L. (ORCID:0000-0002-0805-8245), Mattoli, M. V., Massaccesi, Mariangela, Castelluccia, A., Scolozzi, V., Mantini, Giovanna, Calcagni, Maria Lucia, Massaccesi M., Mantini G. (ORCID:0000-0001-5303-4499), and Calcagni M. L. (ORCID:0000-0002-0805-8245)

Abstract

Background: Patients with locally advanced non-small-cell lung cancer (LA-NSCLC) have poor prognosis despite several multimodal approaches. Recently, low-dose fractionated radiotherapy concurrent to the induction chemotherapy (IC-LDRT) has been proposed to further improve the effects of chemotherapy and prognosis. Until now, the predictive value of metabolic response after IC-LDRT has not yet been investigated. Aim: to evaluate whether the early metabolic response, assessed by 18F-fluoro-deoxyglucose positron emission-computed tomography (18F-FDG PET-CT), could predict the prognosis in LA-NSCLC patients treated with a multimodal approach, including IC-LDRT. Methods: Forty-four consecutive patients (35males, mean age: 66 ± 7.8 years) with stage IIIA/IIIB NSCLC were retrospectively evaluated. Forty-four patients underwent IC-LDRT (2 cycles of chemotherapy, 40 cGy twice daily), 26/44 neo-adjuvant chemo-radiotherapy (CCRT: 50.4Gy), and 20/44 surgery. 18F-FDG PET-CT was performed before (baseline), after IC-LDRT (early) and after CCRT (final), applying PET response criteria in solid tumours (PERCIST). Patients with complete/partial metabolic response were classified as responders; patients with stable/progressive disease as non-responders. Progression free survival (PFS) and overall survival (OS) were assessed using Kaplan-Meyer analysis; the relationship between clinical factors and survivals were assessed using uni-multivariate regression analysis. Results: Forty-four out of 44, 42/44 and 23/42 patients underwent baseline, early and final PET-CT, respectively. SULpeak of primary tumour and lymph-node significantly (p = 0.004, p = 0.0002, respectively) decreased after IC-LDRT with a further reduction after CCRT (p = 0.0006, p = 0.02, respectively). At early PET-CT, 20/42 (47.6%) patients were classified as responders, 22/42 (52.3%) as non-responders. At final PET-CT, 19/23 patients were classified as responders (12 responders and 7 non-responders at early PET-CT), and 4

Published
2017

8. Optic nerve glioblastoma detected by11C-Methionine brain PET/CT

Author

Rizzo, Valentina, Mattoli, Maria Vittoria, Trevisi, Gianluca, Coli, Antonella, Calcagni, Maria Lucia, Montano, Nicola, Rizzo, V., Mattoli, M. V., Trevisi, G., Coli, A. (ORCID:0000-0001-6366-3993), Calcagni, M. L. (ORCID:0000-0002-0805-8245), Montano, N. (ORCID:0000-0002-4965-1950), Rizzo, Valentina, Mattoli, Maria Vittoria, Trevisi, Gianluca, Coli, Antonella, Calcagni, Maria Lucia, Montano, Nicola, Rizzo, V., Mattoli, M. V., Trevisi, G., Coli, A. (ORCID:0000-0001-6366-3993), Calcagni, M. L. (ORCID:0000-0002-0805-8245), and Montano, N. (ORCID:0000-0002-4965-1950)

Abstract

Optic nerve glioblastoma detected by 11C-Methionine brain PET/CT

Published
2017

10. Abstracts

Author

Dunet, V., primary, Dabiri, A., additional, Allenbach, G., additional, Goyeneche Achigar, A., additional, Waeber, B., additional, Feihl, F., additional, Heinzer, R., additional, Prior, J. O., additional, Van Velzen, J. E., additional, Schuijf, J. D., additional, De Graaf, F. R., additional, De Graaf, M. A., additional, Schalij, M. J., additional, Kroft, L. J., additional, De Roos, A., additional, Jukema, J. W., additional, Van Der Wall, E. E., additional, Bax, J. J., additional, Lankinen, E., additional, Saraste, A., additional, Noponen, T., additional, Klen, R., additional, Teras, M., additional, Kokki, T., additional, Kajander, S., additional, Pietila, M., additional, Ukkonen, H., additional, Knuuti, J., additional, Pazhenkottil, A. P., additional, Nkoulou, R. N., additional, Ghadri, J. R., additional, Herzog, B. A., additional, Buechel, R. R., additional, Kuest, S. M., additional, Wolfrum, M., additional, Gaemperli, O., additional, Husmann, L., additional, Kaufmann, P. A., additional, Andreini, D., additional, Pontone, G., additional, Mushtaq, S., additional, Antonioli, L., additional, Bertella, E., additional, Formenti, A., additional, Cortinovis, S., additional, Ballerini, G., additional, Fiorentini, C., additional, Pepi, M., additional, Koh, A. S., additional, Flores, J. S., additional, Keng, F. Y. J., additional, Tan, R. S., additional, Chua, T. S. J., additional, Annoni, A. D., additional, Tamborini, G., additional, Fusari, M., additional, Bartorelli, A. L., additional, Ewe, S. H., additional, Ng, A. C. T., additional, Delgado, V., additional, Schuijf, J., additional, Van Der Kley, F., additional, Colli, A., additional, De Weger, A., additional, Marsan, N. A., additional, Yiu, K. H., additional, Ng, A. C., additional, Timmer, S. A. J., additional, Knaapen, P., additional, Germans, T., additional, Dijkmans, P. A., additional, Lubberink, M., additional, Ten Berg, J. M., additional, Ten Cate, F. J., additional, Russel, I. K., additional, Lammertsma, A. A., additional, Van Rossum, A. C., additional, Wong, Y. Y., additional, Ruiter, G., additional, Raijmakers, P., additional, Van Der Laarse, W. J., additional, Westerhof, N., additional, Vonk-Noordegraaf, A., additional, Youssef, G., additional, Leung, E., additional, Wisenberg, G., additional, Marriot, C., additional, Williams, K., additional, Etele, J., additional, Dekemp, R. A., additional, Dasilva, J., additional, Birnie, D., additional, Beanlands, R. S. B., additional, Thompson, R. C., additional, Allam, A. H., additional, Wann, L. S., additional, Nureldin, A. H., additional, Adelmaksoub, G., additional, Badr, I., additional, Sutherland, M. L., additional, Sutherland, J. D., additional, Miyamoto, M. I., additional, Thomas, G. S., additional, Harms, H. J., additional, De Haan, S., additional, Huisman, M. C., additional, Schuit, R. C., additional, Windhorst, A. D., additional, Allaart, C., additional, Einstein, A. J., additional, Khawaja, T., additional, Greer, C., additional, Chokshi, A., additional, Jones, M., additional, Schaefle, K., additional, Bhatia, K., additional, Shimbo, D., additional, Schulze, P. C., additional, Srivastava, A., additional, Chettiar, R., additional, Moody, J., additional, Weyman, C., additional, Natale, D., additional, Bruni, W., additional, Liu, Y., additional, Ficaro, E., additional, Sinusas, A. J., additional, Peix, A., additional, Batista, E., additional, Cabrera, L. O., additional, Padron, K., additional, Rodriguez, L., additional, Sainz, B., additional, Mendoza, V., additional, Carrillo, R., additional, Fernandez, Y., additional, Mena, E., additional, Naum, A., additional, Bach-Gansmo, T., additional, Kleven-Madsen, N., additional, Biermann, M., additional, Johnsen, B., additional, Aase Husby, J., additional, Rotevatn, S., additional, Nordrehaug, J. E., additional, Schaap, J., additional, Kauling, R. M., additional, Post, M. C., additional, Rensing, B. J. W. M., additional, Verzijlbergen, J. F., additional, Sanchez, J., additional, Giamouzis, G., additional, Tziolas, N., additional, Georgoulias, P., additional, Karayannis, G., additional, Chamaidi, A., additional, Zavos, N., additional, Koutrakis, K., additional, Sitafidis, G., additional, Skoularigis, J., additional, Triposkiadis, F., additional, Radovanovic, S., additional, Djokovic, A., additional, Simic, D. V., additional, Krotin, M., additional, Savic-Radojevic, A., additional, Pljesa-Ercegovac, M., additional, Zdravkovic, M., additional, Saponjski, J., additional, Jelic, S., additional, Simic, T., additional, Eckardt, R., additional, Kjeldsen, B. J., additional, Andersen, L. I., additional, Haghfelt, T., additional, Grupe, P., additional, Johansen, A., additional, Hesse, B., additional, Pena, H., additional, Cantinho, G., additional, Wilk, M., additional, Srour, Y., additional, Godinho, F., additional, Zafrir, N., additional, Gutstein, A., additional, Mats, I., additional, Battler, A., additional, Solodky, A., additional, Sari, E., additional, Singh, N., additional, Vara, A., additional, Peters, A. M., additional, De Belder, A., additional, Nair, S., additional, Ryan, N., additional, James, R., additional, Dizdarevic, S., additional, Depuey, G., additional, Friedman, M., additional, Wray, R., additional, Old, R., additional, Babla, H., additional, Chuanyong, B., additional, Maddahi, J., additional, Tragardh Johansson, E., additional, Sjostrand, K., additional, Edenbrandt, L., additional, Aguade-Bruix, S., additional, Cuberas-Borros, G., additional, Pizzi, M. N., additional, Sabate-Fernandez, M., additional, De Leon, G., additional, Garcia-Dorado, D., additional, Castell-Conesa, J., additional, Candell-Riera, J., additional, Casset-Senon, D., additional, Edjlali-Goujon, M., additional, Alison, D., additional, Delhommais, A., additional, Cosnay, P., additional, Low, C. S., additional, Notghi, A., additional, O'brien, J., additional, Tweddel, A. C., additional, Bingham, N., additional, O Neil, P., additional, Harbinson, M., additional, Lindner, O., additional, Burchert, W., additional, Schaefers, M., additional, Marcassa, C., additional, Campini, R., additional, Calza, P., additional, Zoccarato, O., additional, Kisko, A., additional, Kmec, J., additional, Babcak, M., additional, Vereb, M., additional, Vytykacova, M., additional, Cencarik, J., additional, Gazdic, P., additional, Stasko, J., additional, Abreu, A., additional, Pereira, E., additional, Oliveira, L., additional, Colarinha, P., additional, Veloso, V., additional, Enriksson, I., additional, Proenca, G., additional, Delgado, P., additional, Rosario, L., additional, Sequeira, J., additional, Kosa, I., additional, Vassanyi, I., additional, Egyed, C. S., additional, Kozmann, G. Y., additional, Morita, S., additional, Nanasato, M., additional, Nanbu, I., additional, Yoshida, Y., additional, Hirayama, H., additional, Allam, A., additional, Sharef, A., additional, Shawky, I., additional, Farid, M., additional, Mouden, M., additional, Ottervanger, J. P., additional, Timmer, J. R., additional, De Boer, M. J., additional, Reiffers, S., additional, Jager, P. L., additional, Knollema, S., additional, Nasr, G. M., additional, Mohy Eldin, M., additional, Ragheb, M., additional, Casans-Tormo, I., additional, Diaz-Exposito, R., additional, Hurtado-Mauricio, F. J., additional, Ruano, R., additional, Diego, M., additional, Gomez-Caminero, F., additional, Albarran, C., additional, Martin De Arriba, A., additional, Rosero, A., additional, Lopez, R., additional, Martin Luengo, C., additional, Garcia-Talavera, J. R., additional, Laitinen, I. E. K., additional, Rudelius, M., additional, Weidl, E., additional, Henriksen, G., additional, Wester, H. J., additional, Schwaiger, M., additional, Pan, X. B., additional, Schindler, T., additional, Quercioli, A., additional, Zaidi, H., additional, Ratib, O., additional, Declerck, J. M., additional, Alexanderson Rosas, E., additional, Jacome, R., additional, Jimenez-Santos, M., additional, Romero, E., additional, Pena-Cabral, M. A., additional, Meave, A., additional, Gonzalez, J., additional, Rouzet, F., additional, Bachelet, L., additional, Alsac, J. M., additional, Suzuki, M., additional, Louedec, L., additional, Petiet, A., additional, Chaubet, F., additional, Letourneur, D., additional, Michel, J. 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C., additional, Genovesi, D., additional, Giorgetti, A., additional, Gimelli, A., additional, Cannizzaro, G., additional, Bertagna, F., additional, Fagioli, G., additional, Rossi, M., additional, Bonini, R., additional, Marzullo, P., additional, Paterson, C. A., additional, Smith, S. A., additional, Small, A. D., additional, Goodfield, N. E. R., additional, Martin, W., additional, Nekolla, S., additional, Sherif, H., additional, Reder, S., additional, Yu, M., additional, Kusch, A., additional, Li, D., additional, Zou, J., additional, Lloyd, M. S., additional, Cao, K., additional, Motherwell, D. W., additional, Rice, A., additional, Mccurrach, G. M., additional, Cobbe, S. M., additional, Petrie, M. C., additional, Al Younis, I., additional, Van Der Wall, E., additional, Mirza, T., additional, Raza, M., additional, Hashemizadeh, H., additional, Santos, L., additional, Krishna, B. A., additional, Perna, F., additional, Lago, M., additional, Leo, M., additional, Pelargonio, G., additional, Bencardino, G., additional, Narducci, M. L., additional, Casella, M., additional, Bellocci, F., additional, Kirac, S., additional, Yaylali, O., additional, Serteser, M., additional, Yaylali, T., additional, Okizaki, A., additional, Urano, Y., additional, Nakayama, M., additional, Ishitoya, S., additional, Sato, J., additional, Ishikawa, Y., additional, Sakaguchi, M., additional, Nakagami, N., additional, Aburano, T., additional, Solav, S. V., additional, Bhandari, R., additional, Burrell, S., additional, Dorbala, S., additional, Bruno, I., additional, Caldarella, C., additional, Collarino, A., additional, Mattoli, M. V., additional, Stefanelli, A., additional, Cannarile, A., additional, Maggi, F., additional, Soukhov, V., additional, Bondarev, S., additional, Yalfimov, A., additional, Khan, M., additional, Priyadharshan, P. 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A., additional, Luotolahti, M., additional, Wendelin-Saarenhovi, M., additional, Sundell, J., additional, Raitakari, O., additional, Huidu, S., additional, Gadiraju, R., additional, Ghesani, M., additional, Uddin, Q., additional, Wosnitzer, B., additional, Takahashi, N., additional, Alhaj, E., additional, Legasto, A., additional, Abiri, B., additional, Elsaban, K., additional, El Khouly, T., additional, El Kammash, T., additional, Al Ghamdi, A., additional, Kyung Deok, B., additional, Bon Seung, K., additional, Sang Geun, Y., additional, Chang Min, D., additional, and Gwan Hong, M., additional

Published
2011
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11. The role of nuclear medicine in the diagnosis of spondylodiscitis.

Author

Treglia, G., Focacci, C., Caldarella, C., Mattoli, M. V., Salsano, M., Taralli, S., and Giordano, A.

Abstract

Background: The diagnosis of spondylodiscitis can be difficult, because the patients history, subjective symptoms and physical findings are often inconclusive, particularly in the early stages. Aim: To perform an overview on the role of nuclear medicine procedures with single photon emission tomography (SPET) and positron emission tomography (PET) tracers in the diagnosis of spondylodiscitis. Materials and Methods: A literature review about bone scintigraphy, Gallium-67-citrate scintigraphy, labeled leukocytes scintigraphy and PET was performed. Main findings of the literature were reported. Results: Bone scintigraphy is a sensitive and widely available nuclear medicine technique, but it is characterized by low specificity. Gallium-67- citrate scintigraphy is often used as a complement to bone scintigraphy to enhance the specificity of the study and to detect extra-osseous sites of infection. Labeled leukocytes scintigraphy is not a useful method in the diagnosis of spondylodiscitis. Fluorine-18-fluorodeoxyglucose positron emission tomography is a sensitive method and could potentially be useful in the diagnosis of spondylodiscitis and in the evaluation of treatment response. Nevertheless, scientific literature about this topic is still limited. Conclusions: Overall, nuclear medicine procedures play a useful role in the diagnosis of spondylodiscitis identifying functional abnormalities which precede morphological changes. Therefore, nuclear medicine procedures may complement or integrate morphological imaging findings in patients with suspected spondylodiscitis. [ABSTRACT FROM AUTHOR]

Published
2012

12. The role of nuclear medicine in the diagnosis of spondylodiscitis

Author

Treglia, G., Focacci, C., Caldarella, C., Mattoli, M. V., Marco Salsano, Taralli, S., and Giordano, A.

Subjects
Adult, Male, Tomography, Emission-Computed, Single-Photon, Discitis, Predictive Value of Tests, Positron-Emission Tomography, Humans, Female, Osteomyelitis, Middle Aged, Radiopharmaceuticals, Intervertebral Disc
Abstract

The diagnosis of spondylodiscitis can be difficult, because the patients history, subjective symptoms and physical findings are often inconclusive, particularly in the early stages.To perform an overview on the role of nuclear medicine procedures with single photon emission tomography (SPET) and positron emission tomography (PET) tracers in the diagnosis of spondylodiscitis.A literature review about bone scintigraphy, Gallium-67-citrate scintigraphy, labeled leukocytes scintigraphy and PET was performed. Main findings of the literature were reported.Bone scintigraphy is a sensitive and widely available nuclear medicine technique, but it is characterized by low specificity. Gallium-67-citrate scintigraphy is often used as a complement to bone scintigraphy to enhance the specificity of the study and to detect extra-osseous sites of infection. Labeled leukocytes scintigraphy is not a useful method in the diagnosis of spondylodiscitis. Fluorine-18-fluorodeoxyglucose positron emission tomography is a sensitive method and could potentially be useful in the diagnosis of spondylodiscitis and in the evaluation of treatment response. Nevertheless, scientific literature about this topic is still limited.Overall, nuclear medicine procedures play a useful role in the diagnosis of spondylodiscitis identifying functional abnormalities which precede morphological changes. Therefore, nuclear medicine procedures may complement or integrate morphological imaging findings in patients with suspected spondylodiscitis.

18. Biomarker-based stability in limbic-predominant amnestic mild cognitive impairment

Author

Roberto Santangelo, Giuseppe Magnani, C Cerami, Daniela Perani, Massimo Filippi, Alzheimer’s Disease Neuroimaging Initiative, Sandro Iannaccone, Luca Presotto, Giacomo Tondo, Giulia Carli, Maria Vittoria Mattoli, Tondo, G., Carli, G., Santangelo, R., Mattoli, M. V., Presotto, L., Filippi, M., Magnani, G., Iannaccone, S., Cerami, C., Perani, D., Tondo, G, Carli, G, Santangelo, R, Mattoli, M, Presotto, L, Filippi, M, Magnani, G, Iannaccone, S, Cerami, C, and Perani, D

Subjects
Oncology, medicine.medical_specialty, behavioral disciplines and activities, cerebrospinal fluid, 03 medical and health sciences, 0302 clinical medicine, mild cognitive impairment, Alzheimer Disease, Fluorodeoxyglucose F18, Internal medicine, mental disorders, medicine, Dementia, Humans, Cognitive Dysfunction, 030212 general & internal medicine, limbic-predominant, Retrospective Studies, Fluorodeoxyglucose, business.industry, tauopathy, Area under the curve, Brain, F]FDG-PET, Retrospective cohort study, medicine.disease, Clinical trial, Neurology, Positron-Emission Tomography, Cohort, Biomarker (medicine), Neurology (clinical), Tauopathy, business, [, 030217 neurology & neurosurgery, Biomarkers, medicine.drug
Abstract

Background: The amnestic presentation of mild cognitive impairment (aMCI) represents the most common prodromal stage of Alzheimer's disease (AD) dementia. There is, however, some evidence of aMCI with typical amnestic syndrome but showing long-term clinical stability. The ability to predict stability or progression to dementia in the aMCI condition is important, particularly for the selection of candidates in clinical trials. We aimed to establish the role of in vivo biomarkers, as assessed by cerebrospinal fluid (CSF) measures and [18F]fluorodeoxyglucose (FDG)-positron emission tomography (PET) imaging, in predicting prognosis in a large aMCI cohort. Methods: We conducted a retrospective study, including 142 aMCI subjects who had a long follow-up (4–19years), baseline CSF data and [18F]FDG-PET scans individually assessed by validated voxel-based procedures, classifying subjects into either limbic-predominant or AD-like hypometabolism patterns. Results: The two aMCI cohorts were clinically comparable at baseline. At follow-up, the aMCI group with a limbic-predominant [18F]FDG-PET pattern showed clinical stability over a very long follow-up (8.20±3.30years), no decline in Mini-Mental State Examination score, and only 7% conversion to dementia. Conversely, the aMCI group with an AD-like [18F]FDG-PET pattern had a high rate of dementia progression (86%) over a shorter follow-up (6.47±2.07years). Individual [18F]FDG-PET hypometabolism patterns predicted stability or conversion with high accuracy (area under the curve=0.89), sensitivity (0.90) and specificity (0.89). In the limbic-predominant aMCI cohort, CSF biomarkers showed large variability and no prognostic value. Conclusions: In a large series of clinically comparable subjects with aMCI at baseline, the specific [18F]FDG-PET limbic-predominant hypometabolism pattern was associated with clinical stability, making progression to AD very unlikely. The identification of a biomarker-based benign course in aMCI subjects has important implications for prognosis and in planning clinical trials.

Published
2021

19. Automated detection and classification of tumor histotypes on dynamic PET imaging data through machine-learning driven voxel classification.

Author

Bianchetti G, Taralli S, Vaccaro M, Indovina L, Mattoli MV, Capotosti A, Scolozzi V, Calcagni ML, Giordano A, De Spirito M, and Maulucci G

Subjects
Fluorodeoxyglucose F18, Humans, Lymph Nodes pathology, Lymphatic Metastasis pathology, Machine Learning, Positron Emission Tomography Computed Tomography methods, Positron-Emission Tomography methods, Radiopharmaceuticals, Adenocarcinoma, Lung Neoplasms diagnostic imaging, Lung Neoplasms pathology
Abstract

2-deoxy-2-fluorine-( 18 F)fluoro-d-glucose Positron Emission Tomography/Computed Tomography ( 18 F-FDG-PET/CT) is widely used in oncology mainly for diagnosis and staging of various cancer types, including lung cancer, which is the most common cancer worldwide. Since histopathologic subtypes of lung cancer show different degree of 18 F-FDG uptake, to date there are some diagnostic limits and uncertainties, hindering an 18 F-FDG-PET-driven classification of histologic subtypes of lung cancers. On the other hand, since activated macrophages, neutrophils, fibroblasts and granulation tissues also show an increased 18 F-FDG activity, infectious and/or inflammatory processes and post-surgical and post-radiation changes may cause false-positive results, especially for lymph-nodes assessment. Here we propose a model-free, machine-learning based algorithm for the automated classification of adenocarcinoma, the most common type of lung cancer, and other types of tumors. Input for the algorithm are dynamic acquisitions of PET data (dPET), providing for a spatially and temporally resolved characterization of the uptake kinetic. The algorithm consists in a trained Random Forest classifier which, relying contextually on several spatial and temporal features of 18 F-FDG uptake, generates as an outcome probability maps allowing to distinguish adenocarcinoma from other lung histotype and to identify metastatic lymph-nodes, ultimately increasing the specificity of the technique. Its performance, evaluated on a dPET dataset of 19 patients affected by primary lung cancer, provides a probability 0.943 ± 0.090 for the detection of adenocarcinoma. The use of this algorithm will guarantee an automatic and more accurate localization and discrimination of tumors, also providing a powerful tool for detecting at which extent tumor has spread beyond a primary tumor into lymphatic system., (Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Published
2022
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20. Optic nerve glioblastoma detected by 11 C-Methionine brain PET/CT.

Author

Rizzo V, Mattoli MV, Trevisi G, Coli A, Calcagni ML, and Montano N

Subjects
Aged, 80 and over, Biopsy, Feasibility Studies, Glioblastoma pathology, Humans, Male, Optic Chiasm diagnostic imaging, Optic Nerve Neoplasms pathology, Carbon Radioisotopes analysis, Glioblastoma diagnostic imaging, Magnetic Resonance Imaging methods, Methionine analysis, Multimodal Imaging methods, Neuroimaging methods, Optic Nerve Neoplasms diagnostic imaging, Positron Emission Tomography Computed Tomography, Radiopharmaceuticals analysis
Published
2018
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