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Rädler M, Buizza G, Palaniappan P, Gianoli C, Baroni G, Paganelli C, Parodi K, Riboldi M. PD-0899 Magnetic field of a proton pencil beam as range verification method: The impact of secondaries. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)02978-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Morelli L, Buizza G, Palombo M, Riva G, Fontana G, Imparato S, Iannalfi A, Orlandi E, Paganelli C, Baroni G. Analysis of tumour microstructure estimation from conventional diffusion MRI and application to skull-base chordoma . Annu Int Conf IEEE Eng Med Biol Soc 2021; 2021:3761-3764. [PMID: 34892054 DOI: 10.1109/embc46164.2021.9630129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Skull-base chordoma (SBC) is a rare tumour whose molecular and radiological characteristics are still being investigated. In neuro-oncology microstructural imaging techniques, like diffusion-weighted MRI (DW-MRI), have been widely investigated, with the apparent diffusion coefficient (ADC) being one of the most used DW-MRI parameters due to its ease of acquisition and computation. ADC is a potential biomarker without a clear link to microstructure. The aim of this work was to derive microstructural information from conventional ADC, showing its potential for the characterisation of skull-base chordomas. Sixteen patients affected by SBC, who underwent conventional DW-MRI were retrospectively selected. From mono-exponential fits of DW-MRI, ADC maps were estimated using different sets of b-values. DW-MRI signals were simulated from synthetic substrates , which mimic the cellular packing of a tumour tissue with well-defined microstructural features. Starting from a published method, an error-driven procedure was evaluated to improve the estimates of microstructural parameters obtained through the simulated signals. A quantitative description of the tumour microstructure was then obtained from the DW-MRI images. This allowed successfully differentiating patients according to histologically-verified cell proliferation information.Clinical Relevance - The impact on cancer management derives from the expected improvement of radiation treatment quality tailored to a patient-specific non-invasive description of tumour microstructure.
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Buizza G, Zampini M, Sablone G, Fontana G, Imparato S, Riva G, Iannalfi A, Orlandi E, Paganelli C, Baroni G. PH-0212 Optimization of intravoxel incoherent motion diffusion MRI for brain tumours biomarkers estimation. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)07264-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Elisei G, Pella A, Ricotti R, Via R, Fiore MR, Calvi G, Mastella E, Paganelli C, Tagaste B, Bello F, Fontana G, Meschini G, Buizza G, Valvo F, Orlandi E, Ciocca M, Baroni G. Development and validation of a new set-up simulator dedicated to ocular proton therapy at CNAO. Phys Med 2021; 82:228-239. [PMID: 33657472 DOI: 10.1016/j.ejmp.2021.01.070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Revised: 11/27/2020] [Accepted: 01/14/2021] [Indexed: 10/22/2022] Open
Abstract
An Eye Tracking System (ETS) is used at CNAO for providing a stable and reproducible ocular proton therapy (OPT) set-up, featuring a fixation light (FL) and monitoring stereo-cameras embedded in a rigid case. The aim of this work is to propose an ETS set-up simulation algorithm, that automatically provides the FL positioning in space, according to patient-specific gaze direction and avoiding interferences with patient, beam and collimator. Two configurations are provided: one in the CT room for acquiring images required for treatment planning with the patient lying on a couch, and one related to the treatment room with the patient sitting in front of the beam. Algorithm validation was performed reproducing ETS simulation (CT) and treatment (room) set-up for 30 patients previously treated at CNAO. The positioning accuracy of the device was quantified through a set of 14 control points applied to the ETS case and localizable both in the CT volume and in room X-ray images. Differences between the position of ETS reference points estimated by the algorithm and those measured by imaging systems are reported. The corresponding gaze direction deviation is on average 0.2° polar and 0.3° azimuth for positioning in CT room and 0.1° polar and 0.4° azimuth in the treatment room. The simulation algorithm was embedded in a clinically usable software application, which we assessed as capable of ensuring ETS positioning with an average accuracy of 2 mm in CT room and 1.5 mm in treatment room, corresponding to gaze direction deviations consistently lower than 1°.
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Affiliation(s)
- G Elisei
- Centro Nazionale di Adroterapia Oncologica CNAO, Clinical Department-Bioengineering Unit, Pavia, Italy
| | - A Pella
- Centro Nazionale di Adroterapia Oncologica CNAO, Clinical Department-Bioengineering Unit, Pavia, Italy.
| | - R Ricotti
- Centro Nazionale di Adroterapia Oncologica CNAO, Clinical Department-Bioengineering Unit, Pavia, Italy
| | - R Via
- Center of Proton Therapy, Paul Scherrer Institut, 5232 Villigen, PSI, Switzerland
| | - M R Fiore
- Centro Nazionale di Adroterapia Oncologica CNAO, Clinical Department, Pavia, Italy
| | - G Calvi
- Centro Nazionale di Adroterapia Oncologica CNAO, Particle Accelerator Department, Pavia, Italy
| | - E Mastella
- Centro Nazionale di Adroterapia Oncologica CNAO, Clinical Department - Medical Physics Unit, Pavia, Italy
| | - C Paganelli
- Politecnico di Milano, Department of Electronics Information and Bioengineering, Milano, Italy
| | - B Tagaste
- Centro Nazionale di Adroterapia Oncologica CNAO, Clinical Department-Bioengineering Unit, Pavia, Italy
| | - F Bello
- Centro Nazionale di Adroterapia Oncologica CNAO, Clinical Department-Bioengineering Unit, Pavia, Italy
| | - G Fontana
- Centro Nazionale di Adroterapia Oncologica CNAO, Clinical Department-Bioengineering Unit, Pavia, Italy
| | - G Meschini
- Politecnico di Milano, Department of Electronics Information and Bioengineering, Milano, Italy
| | - G Buizza
- Politecnico di Milano, Department of Electronics Information and Bioengineering, Milano, Italy
| | - F Valvo
- Centro Nazionale di Adroterapia Oncologica CNAO, Clinical Department, Pavia, Italy
| | - E Orlandi
- Centro Nazionale di Adroterapia Oncologica CNAO, Clinical Department, Pavia, Italy
| | - M Ciocca
- Centro Nazionale di Adroterapia Oncologica CNAO, Clinical Department - Medical Physics Unit, Pavia, Italy
| | - G Baroni
- Centro Nazionale di Adroterapia Oncologica CNAO, Clinical Department-Bioengineering Unit, Pavia, Italy; Politecnico di Milano, Department of Electronics Information and Bioengineering, Milano, Italy
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Monti S, Paganelli C, Buizza G, Preda L, Valvo F, Baroni G, Palma G, Cella L. A novel framework for spatial normalization of dose distributions in voxel-based analyses of brain irradiation outcomes. Phys Med 2020; 69:164-169. [PMID: 31918368 DOI: 10.1016/j.ejmp.2019.12.017] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 12/05/2019] [Accepted: 12/17/2019] [Indexed: 11/29/2022] Open
Abstract
PURPOSE To devise a novel Spatial Normalization framework for Voxel-based analysis (VBA) in brain radiotherapy. VBAs rely on accurate spatial normalization of different patients' planning CTs on a common coordinate system (CCS). The cerebral anatomy, well characterized by MRI, shows instead poor contrast in CT, resulting in potential inaccuracies in VBAs based on CT alone. METHODS We analyzed 50 meningioma patients treated with proton-therapy, undergoing planning CT and T1-weighted (T1w) MRI. The spatial normalization pipeline based on MR and CT images consisted in: intra-patient registration of CT to T1w, inter-patient registration of T1w to MNI space chosen as CCS, doses propagation to MNI. The registration quality was compared with that obtained by Statistical Parametric Mapping software (SPM), used as benchmark. To evaluate the accuracy of dose normalization, the dose organ overlap (DOO) score was computed on gray matter, white matter and cerebrospinal fluid before and after normalization. In addition, the trends in the DOOs distribution were investigated by means of cluster analysis. RESULTS The registration quality was higher for the proposed method compared to SPM (p < 0.001). The DOO scores showed a significant improvement after normalization (p < 0.001). The cluster analysis highlighted 2 clusters, with one of them including the majority of data and exhibiting acceptable DOOs. CONCLUSIONS Our study presents a robust tool for spatial normalization, specifically tailored for brain dose VBAs. Furthermore, the cluster analysis provides a formal criterion for patient exclusion in case of non-acceptable normalization results. The implemented framework lays the groundwork for future reliable VBAs in brain irradiation studies.
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Affiliation(s)
- S Monti
- National Research Council, Institute of Biostructures and Bioimaging, Napoli, Italy.
| | - C Paganelli
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy
| | - G Buizza
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy
| | - L Preda
- National Centre of Oncological Hadrontherapy, Pavia, Italy
| | - F Valvo
- National Centre of Oncological Hadrontherapy, Pavia, Italy
| | - G Baroni
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy
| | - G Palma
- National Research Council, Institute of Biostructures and Bioimaging, Napoli, Italy
| | - L Cella
- National Research Council, Institute of Biostructures and Bioimaging, Napoli, Italy
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Paganelli C, Portoso S, Garau N, Meschini G, Via R, Buizza G, Keall P, Riboldi M, Baroni G. Time-resolved volumetric MRI in MRI-guided radiotherapy: an in silico comparative analysis. Phys Med Biol 2019; 64:185013. [PMID: 31323645 DOI: 10.1088/1361-6560/ab33e5] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
MRI-treatment units enable 2D cine-MRI centred in the tumour for motion detection in radiotherapy, but they lack 3D information due to spatio-temporal limits. To derive time-resolved 3D information, different approaches have been proposed in the literature, but a rigorous comparison among these strategies has not yet been performed. The goal of this study is to quantitatively investigate five published strategies that derive time-resolved volumetric MRI in MRI-guided radiotherapy: Propagation, out-of-plane motion compensation, Fayad model, ROI-based model and Stemkens model. Comparisons were performed using an MRI digital phantom generated with six different patient-derived motion signals and tumour-shapes. An average 4D cycle was generated as well as 2D cine-MRI data with corresponding 3D in-room ground truth. Quantitative analysis was performed by comparing the estimated 3D volume to the ground truth available for each 2D cine-MRI sample. A grouped patient statistical analysis was performed to evaluate the performance of the selected methods, in case of tumour tracking or motion estimation of the whole anatomy. Analyses were also performed based on patient characteristics. Quantitative ranking of the investigated methods highlighted that Propagation and ROI-based model strategies achieved an overall median tumour centre of mass 3D distance from the ground truth of 1.1 mm and 1.3 mm, respectively, and a diaphragm distance below 1.6 mm. Higher errors and variabilities were instead obtained for other methods, which lack the ability to compensate for in-room variations and to account for regional changes. These results were especially evident when further analysing patient characteristics, where errors above 2 mm/5 mm in tumour/diaphragm were found for more irregular breathing patterns in case of out-of-plane motion compensation, Fayad and Stemkens models. These findings suggest the potential of the proposed in silico framework to develop and compare strategies to estimate time-resolved 3DMRI in MRI-guided radiotherapy.
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Affiliation(s)
- C Paganelli
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy. Both authors contributed equally. Author to whom any correspondence should be addressed
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Monti S, Paganelli C, Buizza G, Preda L, Valvo F, Magliulo M, Baroni G, Cella L, Palma G. A Novel Framework for Spatial Normalization of Dose Distributions in Voxel-Based Analyses of Brain Irradiation Outcomes. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.593] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Buizza G, Paganelli C, Fontana G, Franconeri A, Raciti M, Pella A, Anemoni L, Iannalfi A, Preda L, Valvo F, Baroni G. EP-2051 A comparative analysis of MR signal normalization methods during proton therapy treatment. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)32471-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Astaraki M, Wang C, Buizza G, Toma-Dasu I, Lazzeroni M, Smedby Ö. OC-0406 Early survival prediction in non-small cell lung cancer with PET/CT size aware longitudinal pattern. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)30826-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Buizza G, Molinelli S, D'Ippolito E, Fontana G, Anemoni L, Preda L, Baroni G, Valvo F, Paganelli C. PV-0311 MRI-based tumour control probability model in particle therapy. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)30731-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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