Diencephalic-mesencephalic Junction Dysplasia: A Case Report and Overview of What is Known so far
Bibliographic record
Abstract
Background: Diencephalic-mesencephalic junction dysplasia (DMJD) is a rare and recently newly described forebrain-midbrain malformation involving the upper aspect of the brainstem and resulting in an abnormal regionalization of the diencephalon and mesencephalon level. The fingerprint of DMJD is the pathognomonic butterfly-like appearance of the midbrain seen on the axial plane of brain magnetic resonance imaging (MRI). Initially, only two types of diencephalon-mesencephalon continuity were defined: type A describes the continuity of the hypothalamus with the mesencephalon, and type B a parenchymal band between the thalamus and the superior surface of the midbrain. However, DMJD classification continues to expand, and recently, type C was described as showing a complete continuity of the thalamus and midbrain. In this paper, we refer to mesencephalon and midbrain as the anatomical marker of the topmost part of the brainstem, and those terms are used interchangeably in the text. Methodology: PubMed database search for the exact words “diencephalic-mesencephalic junction dysplasia” and “DMJD” yielded 12 relevant publications. A showcase of an original rare type C DMJD was performed. Objective: The purpose of this article is to present a brief comprehensive illustration /elucidation of the physiopathology of neural tube regionalization to facilitate the understanding of DMJD malformation; to present an updated overview of recent publications involving imaging findings, genetics, and clinical concerns; and to show an original fetal case of type C DJMD. The aim is to increase awareness of DMJD and strengthen clinical suspicion, especially since early diagnosis is primarily based on imaging.
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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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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.
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".