1
|
Malferrari G, Merli N, Inchingolo V, Siniscalchi A, Laterza D, Monaco D, Arnone G, Zini A, Prada F, Azzini C, Pugliatti M. Role of Advanced Hemodynamic Ultrasound Evaluation in the Differential Diagnosis of Middle Cerebral Artery Stenosis: Introducing Morphological Criteria. Ultrasound Med Biol 2023; 49:2428-2435. [PMID: 37550172 DOI: 10.1016/j.ultrasmedbio.2023.07.004] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 06/28/2023] [Accepted: 07/09/2023] [Indexed: 08/09/2023]
Abstract
OBJECTIVE The aim of the work described here was to determine the possible impact of the new technique advanced hemodynamic ultrasound evaluation (AHUSE) in identification of severe intracranial stenosis. Transcranial Doppler (TCD) and transcranial color-coded Doppler (TCCD) provide reliable velocimetric data, the indirect analysis of which allows us to obtain information on the patency of vessels and assumed stenosis range. However, very tight stenoses (>95%) cannot be detected with velocimetric criteria because of spectrum drops and the absence of high velocities, so that the right curve of the Spencer equation cannot be solved. Likewise, high velocities are not detected when analyzing morphologically long stenosis. Furthermore, the current classifications based on velocimetric criteria do not provide any categorization on stenoses with multiple acceleration points (MAPs). METHODS With this Technical Note we aim to introduce, in addition to velocimetric criteria, more morphological criteria based on TCCD with the algorithm of AHUSE to optimize the characterization of intracranial stenosis (IS). TCCD-AHUSE relies on intensity-based next-generation techniques and can be used to identify IS with MAPs and simultaneously perform a morphological assessment of the stenosis length. RESULTS We introduce a new technical ultrasound (U) approach that we tested in a sample of four different types of stenoses combining velocimetric data and AHUSE using Esaote Microvascularization (MicroV) technique to the M1 tract of the middle cerebral artery (MCA). CONCLUSION The authors believe that a multiparametric evaluation is more sensitive and supports the clinician by introducing the morphological concept, not just the velocimetric concept, to differentiate the IS pattern of MCA. The potential for developing a diagnostic/prognostic algorithm is discussed.
Collapse
Affiliation(s)
- Giovanni Malferrari
- Stroke Unit and Neurology Unit, Azienda Unità Sanitaria Locale-IRCCS, Reggio Emilia, Italy.
| | - Nicola Merli
- Department of Neuroscience and Rehabilitation, University of Ferrara, Italy
| | - Vincenzo Inchingolo
- Neurology Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Antonio Siniscalchi
- Department of Neurology and Stroke Unit, Annunziata Hospital, Cosenza, Italy
| | - Domenico Laterza
- Neurology and Stroke Unit, Nuovo Ospedale degli Infermi, Biella (BI), Italy
| | - Daniela Monaco
- Department of Emergency Neurology and Stroke Unit, "S. Spirito" Hospital, Pescara, Italy
| | - Giorgia Arnone
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Bologna, Italy
| | - Andrea Zini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Bologna, Italy
| | - Francesco Prada
- Acoustic Neuroimaging and Therapy Lab, Fondazione IRCCS Istituto Neurologico C. Besta, Milano, Italy; Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA; Focused Ultrasound Foundation, Charlottesville, VA, USA
| | - Cristiano Azzini
- Stroke Unit and Neurology Unit, S. Anna University Hospital, Ferrara Italy
| | - Maura Pugliatti
- Department of Neuroscience and Rehabilitation, University of Ferrara, Italy; S. Anna University Hospital, Ferrara Italy
| |
Collapse
|
2
|
Giammalva GR, Viola A, Maugeri R, Giardina K, Di Bonaventura R, Musso S, Brunasso L, Cepeda S, Della Pepa GM, Scerrati A, Mantovani G, Ferini G, Gerardi RM, Pino MA, Umana GE, Denaro L, Albanese A, Iacopino DG. Intraoperative Evaluation of Brain-Tumor Microvascularization through MicroV IOUS: A Protocol for Image Acquisition and Analysis of Radiomic Features. Cancers (Basel) 2022; 14:5335. [PMID: 36358754 PMCID: PMC9656308 DOI: 10.3390/cancers14215335] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/25/2022] [Accepted: 10/27/2022] [Indexed: 08/09/2023] Open
Abstract
Microvascular Doppler (MicroV) is a new-generation Doppler technique developed by Esaote (Esaote s.p.a., Genova, Italy), which is able to visualize small and low-flow vessels through a suppression of interfering signals. MicroV uses advanced filters that are able to differentiate tissue artifacts from low-speed blood flows; by exploiting the space-time coherence information, these filters can selectively suppress tissue components, preserving the signal coming from the microvascular flow. This technique is clinically applied to the study of the vascularization of parenchymatous lesions, often with better diagnostic accuracy than color/power Doppler techniques. The aim of this paper is to develop a reproducible protocol for the recording and collection of MicroV intraoperative ultrasound images by the use of a capable intraoperative ultrasound machine and post-processing aimed at evaluation of brain-tumor microvascularization through the analysis of radiomic features. The proposed protocol has been internally validated on eight patients and will be firstly applied to patients affected by WHO grade IV astrocytoma (glioblastoma-GBM) candidates for craniotomy and lesion removal. In a further stage, it will be generally applied to patients with primary or metastatic brain tumors. IOUS is performed before durotomy. Tumor microvascularization is evaluated using the MicroV Doppler technique and IOUS images are recorded, stored, and post-processed. IOUS images are remotely stored on the BraTIoUS database, which will promote international cooperation and multicentric analysis. Processed images and texture radiomic features are analyzed post-operatively using ImageJ, a free scientific image-analysis software based on the Sun-Java platform. Post-processing protocol is further described in-depth. The study of tumor microvascularization through advanced IOUS techniques such as MicroV could represent, in the future, a non-invasive and real-time method for intraoperative predictive evaluation of the tumor features. This evaluation could finally result in a deeper knowledge of brain-tumor behavior and in the on-going adaptation of the surgery with the improvement of surgical outcomes.
Collapse
Affiliation(s)
- Giuseppe Roberto Giammalva
- Neurosurgical Clinic, Post Graduate Residency Program in Neurologic Surgery, Department of Biomedicine Neurosciences and Advanced Diagnostics, School of Medicine, University of Palermo, 90127 Palermo, Italy
| | - Anna Viola
- Department of Radiation Oncology, REM Radioterapia srl, 95029 Viagrande, Italy
| | - Rosario Maugeri
- Neurosurgical Clinic, Post Graduate Residency Program in Neurologic Surgery, Department of Biomedicine Neurosciences and Advanced Diagnostics, School of Medicine, University of Palermo, 90127 Palermo, Italy
| | - Kevin Giardina
- Neurosurgical Clinic, Post Graduate Residency Program in Neurologic Surgery, Department of Biomedicine Neurosciences and Advanced Diagnostics, School of Medicine, University of Palermo, 90127 Palermo, Italy
| | - Rina Di Bonaventura
- Department of Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, 00100 Rome, Italy
| | - Sofia Musso
- Neurosurgical Clinic, Post Graduate Residency Program in Neurologic Surgery, Department of Biomedicine Neurosciences and Advanced Diagnostics, School of Medicine, University of Palermo, 90127 Palermo, Italy
| | - Lara Brunasso
- Neurosurgical Clinic, Post Graduate Residency Program in Neurologic Surgery, Department of Biomedicine Neurosciences and Advanced Diagnostics, School of Medicine, University of Palermo, 90127 Palermo, Italy
| | - Santiago Cepeda
- Departamento de Neurocirugía, Hospital Universitario Río Hortega, 47012 Valladolid, Spain
| | - Giuseppe Maria Della Pepa
- Department of Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, 00100 Rome, Italy
| | - Alba Scerrati
- Department of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy
- Department of Neurosurgery, Sant’Anna University Hospital of Ferrara, 44124 Ferrara, Italy
| | - Giorgio Mantovani
- Department of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy
- Department of Neurosurgery, Sant’Anna University Hospital of Ferrara, 44124 Ferrara, Italy
| | - Gianluca Ferini
- Department of Radiation Oncology, REM Radioterapia srl, 95029 Viagrande, Italy
| | - Rosa Maria Gerardi
- Neurosurgical Clinic, Post Graduate Residency Program in Neurologic Surgery, Department of Biomedicine Neurosciences and Advanced Diagnostics, School of Medicine, University of Palermo, 90127 Palermo, Italy
| | - Maria Angela Pino
- Neurosurgical Clinic, Post Graduate Residency Program in Neurologic Surgery, Department of Biomedicine Neurosciences and Advanced Diagnostics, School of Medicine, University of Palermo, 90127 Palermo, Italy
| | - Giuseppe Emmanuele Umana
- Trauma Center, Gamma Knife Center, Department of Neurosurgery, Cannizzaro Hospital, 95126 Catania, Italy
| | - Luca Denaro
- Academic Neurosurgery, Department of Neurosciences DNS, University of Padua, 35128 Padua, Italy
| | - Alessio Albanese
- Department of Neurosurgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, 00100 Rome, Italy
| | - Domenico Gerardo Iacopino
- Neurosurgical Clinic, Post Graduate Residency Program in Neurologic Surgery, Department of Biomedicine Neurosciences and Advanced Diagnostics, School of Medicine, University of Palermo, 90127 Palermo, Italy
| |
Collapse
|