Your browser doesn't support javascript.
loading
Point-Of-Care low-field MRI in acute Stroke (POCS): protocol for a multicentric prospective open-label study evaluating diagnostic accuracy.
Foschi, Matteo; Galante, Angelo; Ornello, Raffaele; Necozione, Stefano; Marini, Carmine; Muselli, Mario; Achard, Paola Olimpia; Fratocchi, Luciano; Vinci, Sergio Lucio; Cavallaro, Marco; Silvestrini, Mauro; Polonara, Gabriele; Marcheselli, Simona; Straffi, Laura; Colasurdo, Marco; Sorrentino, Luca; Franconi, Enrico; Alecci, Marcello; Caulo, Massimo; Sacco, Simona.
Afiliação
  • Foschi M; Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
  • Galante A; Department of Life, Health & Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
  • Ornello R; National Institute for Nuclear Physics, Gran Sasso National Laboratory, L'Aquila, Italy.
  • Necozione S; SPIN-CNR, c/o Department of Physical and Chemical Science, University of L'Aquila, L'Aquila, Italy.
  • Marini C; Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
  • Muselli M; Department of Life, Health & Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
  • Achard PO; Department of Life, Health & Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
  • Fratocchi L; Department of Life, Health & Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
  • Vinci SL; Department of Industrial and Information Engineering and Economics, University of L'Aquila, L'Aquila, Italy.
  • Cavallaro M; Department of Industrial and Information Engineering and Economics, University of L'Aquila, L'Aquila, Italy.
  • Silvestrini M; Department of Biomorf, University of Messina, UOC Neuroradiology, Messina, Italy.
  • Polonara G; Department of Biomorf, University of Messina, UOC Neuroradiology, Messina, Italy.
  • Marcheselli S; Department of Experimental and Clinical Medicine, Neurological Clinic, Marche Polytechnic University, Ancona, Italy.
  • Straffi L; Department of Odontostomatological and Specialized Clinical Sciences, Polytechnic University of Marche, Ancona, Italy.
  • Colasurdo M; Emergency Neurology and Stroke Unit, IRCCS Humanitas Research Hospital, Rozzano, Italy.
  • Sorrentino L; Emergency Neurology and Stroke Unit, IRCCS Humanitas Research Hospital, Rozzano, Italy.
  • Franconi E; Department of Neuroscience and Clinical Sciences, University of Chieti, Chieti, Italy.
  • Alecci M; Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, Italy.
  • Caulo M; Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy.
  • Sacco S; Department of Life, Health & Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
BMJ Open ; 14(1): e075614, 2024 01 31.
Article em En | MEDLINE | ID: mdl-38296269
ABSTRACT

INTRODUCTION:

Fast and accurate diagnosis of acute stroke is crucial to timely initiate reperfusion therapies. Conventional high-field (HF) MRI yields the highest accuracy in discriminating early ischaemia from haemorrhages and mimics. Rapid access to HF-MRI is often limited by contraindications or unavailability. Low-field (LF) MRI (<0.5T) can detect several types of brain injury, including ischaemic and haemorrhagic stroke. Implementing LF-MRI in acute stroke care may offer several advantages, including extended applicability, increased safety, faster administration, reduced staffing and costs. This multicentric prospective open-label trial aims to evaluate the diagnostic accuracy of LF-MRI, as a tool to guide treatment decision in acute stroke. METHODS AND

ANALYSIS:

Consecutive patients accessing the emergency department with suspected stroke dispatch will be recruited at three Italian study units Azienda Sanitaria Locale (ASL) Abruzzo 1 and 2, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital. The estimated sample size is 300 patients. Anonymised clinical and LF-MRI data, along with conventional neuroimaging data, will be independently assessed by two external units Marche Polytechnic University and 'G. Martino' Polyclinic University Hospital. Both units will independently adjudicate the best treatment option, while the latter will provide historical HF-MRI data to develop artificial intelligence algorithms for LF-MRI images interpretation (Free University of Bozen-Bolzano). Agreement with conventional neuroimaging will be evaluated at different time points hyperacute, acute (24 hours), subacute (72 hours), at discharge and chronic (4 weeks). Further investigations will include feasibility study to develop a mobile stroke unit equipped with LF-MRI and cost-effectiveness analysis. This trial will provide necessary data to validate the use of LF-MRI in acute stroke care. ETHICS AND DISSEMINATION The study was approved by the Research Ethics Committee of the Abruzzo Region (CEtRA) on 11 May 2023 (approval code richyvgrg). Results will be disseminated in peer-reviewed journals and presented in academic conferences. TRIAL REGISTRATION NUMBER NCT05816213; Pre-Results.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Acidente Vascular Cerebral Tipo de estudo: Clinical_trials / Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: BMJ Open Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Acidente Vascular Cerebral Tipo de estudo: Clinical_trials / Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: BMJ Open Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Itália