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Record W1529670146 · doi:10.5772/22019

3D TrueFISP MRI Provides Accurate Longitudinal Measurements of Glioma Volumes in Mice

2011· book-chapter· en· W1529670146 on OpenAlexaff
Emeline Julie, Line Pourtau, Philippe Massot, Pierre Voisin, Eric Thiaudière, Jean- Michel, Sylvain Miraux

Bibliographic record

VenueInTech eBooks · 2011
Typebook-chapter
Languageen
FieldMedicine
TopicAdvanced MRI Techniques and Applications
Canadian institutionsRobarts Clinical TrialsWestern University
Fundersnot available
KeywordsGliomaNeuroscienceMedicinePsychologyCancer research

Abstract

fetched live from OpenAlex

Advances in the Biology, Imaging and Therapies for Glioblastoma 126 accurate 3D information is very important in longitudinal studies such as, for instance, the evaluation of a therapeutic treatment. An alternative to RARE T2 [6] or 3D contrast-enhanced T1 imaging is fully balanced SSFP imaging (also called bSSFP, TrueFISP or FIESTA) In fact, it has recently been shown that this sequence can be used at high field, in 3D, to detect tumors of very small size The advantage of this sequence is the ability to combine the speed of 3D gradient echo and T1/T2 contrast. The purpose of this study is to demonstrate that a 3D TrueFISP MRI sequence is applicable, at high magnetic field, to glioma-bearing mouse models in longitudinal studies. Theoretical considerations of tumor contrast and signal-to-noise ratio as a function of sequence parameters (TE/TR/flip angle) were carried out and compared with experimental data. The 3D TrueFISP MRI sequence was also compared with the sequence most widely used in clinical applications: 2D RARE. Finally, the sequence was used to perform accurate longitudinal measurements of glioma volumes in mice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.598
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.090
GPT teacher head0.325
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreOther

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

Citations0
Published2011
Admission routes1
Has abstractyes

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