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Record W2047875270 · doi:10.1002/uog.2790

Fetal brain volume measurements by magnetic resonance imaging

2006· article· en· W2047875270 on OpenAlexaboutno aff
Thomas Andreas, U Wedegärtner, M Tchirikov, Kurt Hecher, Helmut Schröder

Bibliographic record

VenueUltrasound in Obstetrics and Gynecology · 2006
Typearticle
Languageen
FieldMedicine
TopicFetal and Pediatric Neurological Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMagnetic resonance imagingVentriculomegalyNuclear medicine3D ultrasoundVolume renderingAnatomyUltrasoundRadiologyFetusVisualizationPregnancyArtificial intelligenceComputer science

Abstract

fetched live from OpenAlex

We describe three fetuses with malformations of the brain detected by ultrasound imaging. Magnetic resonance imaging (MRI) was then used to measure the fetal brain volumes, in order to gain more information to aid in the counseling of parents and further perinatal management. This was performed with a phased-array body coil on a 1.5-T Magnetom Symphony (Siemens, Erlangen, Germany) machine using fast T1- and T2-weighted sequences. T2-weighted half-Fourier acquisition turbo spin-echo (HASTE) sequences of the whole fetus were acquired in three orthogonal planes (slice thickness, 3 mm; interslice gap, 1 mm). Examinations were done during maternal breath-holding, with acquisition times of < 30 s. Data in DICOM format generated by the MR tomograph were transferred to a PC (Windows XP, Microsoft Corp., Redmond, WA, USA; graphic input screen Wacom Cintiq 18SX, Vancouver, WA, USA), executing the multi-purpose three-dimensional (3D) visualization and modeling software, Amira® (vers. 3.0; TGS, San Diego, CA, USA). Using an input pen, structures of interest in the fetal cephalic region (including skull, ventricles, hemispheres, cerebellum and eyes) were identified on stacked slices and marked manually (by T.A.) with different colors; this is referred to as ‘segmentation’. Amira then allowed volume measurement and surface rendering of selected structures in any desired combination. Measured brain volumes included the tissue volume of both hemispheres and the cerebellum. Our first patient was referred at 25 weeks' gestation with a diagnosis of left-sided ventriculomegaly. The brain volume of 116 mL at referral had increased to 203 mL by 31 weeks, with hemispheric parenchymal volumes of equal size (right, 106 mL; left, 97 mL). Volumes of side ventricles were approximately 16 mL on the right and 100 mL on the left side (Figure 1). The fetus was delivered by elective Cesarean section at 38 weeks. Therapeutic endoscopic fenestration of the septum pellucidum was complicated by post-surgical infection. By the age of 2 years, the child had developed right-sided hemiparesis and focal epilepsy. The second patient was referred at 32 weeks' gestation with a diagnosis of microcephaly and oligohydramnios. Lissencephaly was diagnosed based on MRI, and the brain volume was determined as 63 mL at 32 + 2 weeks. After intensive counseling, the parents requested termination of pregnancy. The third patient was referred at 35 weeks' gestation with a diagnosis of a large left-sided intracranial cyst. The brain volume was 210 mL and the volume of the cyst was 337 mL. MRI did not allow separation of the hemispheres for volume measurements due to compression of the brain tissue by the cyst. ‘Open-lip schizencephaly’ was diagnosed by MRI 10 days after delivery by elective Cesarean section. The newborn developed spastic seizures, and its electroencephalogram was abnormal. Figure 2 puts the brain weights of our three cases in the context of ‘normal’ human fetal brain weights during pregnancy, based on Gruenwald and Minh1, Singer et al.2 and Guihard-Costa and Larroche3 (see also Duncan et al.4). Magnetic resonance image (coronal view) showing left-sided ventriculomegaly (Case 1, 31 weeks). The brain mass is translucent yellow to allow visualization of the side ventricles (translucent blue). Eyes are colored brownish. Growth of the fetal brain from 17 weeks' gestation1-3. Median (solid line) and 5th and 95th percentiles (dashed lines) are indicated3. Open circles with solid whiskers ( ± 2 SD) are fortnightly means1, while triangles with dashed whiskers ( ± 2 SD) are weekly means2. The data from Singer et al.2 are shifted slightly to the right with respect to their true position to allow them to be distinguished. Filled circles represent brain volumes of unaffected fetuses based on our own magnetic resonance imaging measurements (unpubl. observ.). Filled squares represent the three cases described here. In conclusion, differentiated brain volume measurements using MRI may help in making an appropriate decision for further perinatal management.

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)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.221
Teacher spread0.212 · 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 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

Citations5
Published2006
Admission routes1
Has abstractyes

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