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Clinical Impact and Predictors of Diffusion Weighted Imaging (DWI) Reversal in Stroke Patients with Diffusion Weighted Imaging Alberta Stroke Program Early CT Score 0–5 Treated by Thrombectomy
Pietro Panni, Bertrand Lapergue, Benjamin Maïer, Stephanos Finitsis, Frédéric Clarençon, Sébastien Richard, Gaultier Marnat, Romain Bourcier, Igor Sibon, Cyril Dargazanli, Raphaël Blanc, Arturo Consoli, François Eugène, Stéphane Vannier, Laurent Spelle, Christian Denier, Marion Boulanger, Maxime Gauberti, Suzana Saleme, Francisco Macian, Charlotte Rosso, Olivier Naggara, Guillaume Turc, Ozlem Ozkul-Wermester, Chrysanthi Papagiannaki, Jean‐François Albucher, Jean Darcourt, Anthony Le Bras, Sarah Evain, Valérie Wolff, Raoul Pop, Serge Timsit, Jean‐Christophe Gentric, Frédéric Bourdain, Louis Veunac, Caroline Arquizan, Benjamin Gory, Michel Piotin, Hocine Redjem, Simon Escalard, Jean-Philippe Dessilles, François Delvoye, Stanislas Smajda, Hebert Solène, Mikaël Mazighi, Mikael Obadia, Candice Sabben, Pierre Seners, Igor Raynouard, Ovide Corabianu, T. de Broucker, Éric Manchon, Guillaume Taylor, Malek Ben Maacha, Laurie-Anne Thion, Augustin Lecler, Julien Savatovsky, Adrien Wang, Serge Evrard, Maya Tchikviladze, Nadia Ajili, David Weisenburger‐Lile, Lucas Gorza, Géraldine Buard, Oguzhan Coskun, Federico Di Maria, Georges Rodesch, Sergio Zimatore, Morgan Leguen, Julie Gratieux, Fernando Pico, Haja Rakotoharinandrasana, Philippe Tassan, Roxanna Poll, Sylvie Marinier, Florent Gariel, Xavier Barreau, Jérôme Berge, Patrice Ménégon, Ludovic Lucas, Stéphane Olindo, Pauline Renou, Sharmila Sagnier, Mathilde Poli, Sabrina Debruxelles, François Rouanet, Thomas Tourdias, Jean-Sébastien Liegey, Pierre Briau, Nicolas Pangon, Lili Détraz, Benjamin Daumas-Duport, Pierre-Louis Alexandre, Monica Roy, Cédric Lenoble, Hubert Desal, B. Guillon, Solène de Gaalon, Cécile Preterre, Serge Bracard, René Anxionnat, Marc Braun, Anne‐Laure Derelle, Romain Tonnelet, Liang Liao, François Zhu, Emmanuelle Schmitt, Sophie Planel, Lisa Humbertjean, Gioia Mione, Jean-Christophe Lacour, Gérard Audibert, Marcela Voicu, Lionel Alb, Marie Reitter, Madalina Brezeanu, Agnès Masson, Adriana Tabarna, Iona Podar, Pauline Bourst, Sarah Guy, Fatiha Bechiri, Francisco Macian-Montoro, Suzanna Saleme, Charbel Mounayer, Aymeric Rouchaud, Laëtitia Gimenez, Alexandre Cosnard, Vincent Costalat, Grégory Gascou, Pierre-Henri Lefèvre, Imad Derraz, Carlos Riquelme, Nicolas Gaillard, Isabelle Mourand, Lucas Corti, Fédérico Cagnazzo, Adrien ter Schiphorst, Jean‐Christophe Ferré, Hélène Raoult, Thomas Ronzière, Maria Lassale, Christophe Paya, Jean-Yves Gauvrit, Clément Tracol, Sophie Langnier-Lemercier, A. Maurice, Sabrina Cochennec, Mélanie Pinault, Eimad Shotar, Nader Sourour, Stéphanie Lenck, Kévin Premat, Yves Samson, Anne Léger, Sophie Crozier, Flore Baronnet, Sonia Alamowitch, Laure Bottin, Mathon Yger, Vincent Degos, Olivier Chassin, Vanessa Chalumeau, Jildaz Caroff, Laura Venditti, Mariana Sarov, Nicolas Legris, Wagih Ben Hassen, Grégoire Boulouis, Christine Rodriguez-Régent, D. Trystram, Basile Kerleroux, Valérie Domigo, Catherine Lamy, Julia Birchenall, Clothilde Isabel, François Lun, Alain Viguier, Christophe Cognard, Anne-Christine Januel, Jean‐Marc Olivot, Louis Fontaine, Nicolas Raposo, Fabrice Bonneville, Lionel Calviere, Guillaume Bellanger, Philippe Tall, Emmanuel Touzé, Charlotte Barbier, Romain Schneckenburger, Julien Cogez, Sophie Guettier, Julien Ognard, Francois Mathias Merrien, Ozlem Ozku Wermester, Evelyne Massardier, Aude Triquenot, Patricia Bernady, Laurent Lagoarde-Segot, Hélène Cailliez, David Higué, Véronique Quenardelle, Valérie Lauer, Roxana Gheoca, Irène Pierre-Paul, Rémy Beaujeux, Dan Mihoc, Monica Manisor, Julien Pottecher, Alain Meyer, Thiên‐Nga Chamaraux‐Tran, Arnaud Le Guen
Bibliographic record
VenueClinical Neuroradiology · 2022
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsDiffusion MRIStroke (engine)MedicineRadiologyMagnetic resonance imagingPhysics
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.012
GPT teacher head0.302
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations18
Published2022
Admission routes1
Has abstractno