Calcified Cavitating Mesenteric Lymph Node Syndrome: Case Presentation and Literature Review
Bibliographic record
Abstract
Cavitating mesenteric lymph node syndrome (CMLNS) is a rare complication of celiac disease. Globally, only 36 cases of CMLNS have been reported to date. The present article reports an incidence of its unique pathology and possible complications of celiac disease, followed by a review of the syndrome. A case involving a 51-year-old man with celiac disease who was referred to hospital because of a nontender abdominal mass is described. Plain film x-ray of the abdomen revealed fine curvilinear calcifications in the left lower quadrant. A complex, cystic-appearing, lobulated mass with somewhat echogenic walls most consistent with calcifications was revealed on subsequent ultrasound (US) imaging. Colour Doppler imaging showed no evidence of vascularity within the lesion. Computed tomography (CT) imaging showed a thin rim of calcification in the walls of multiple cystic components. Enhanced magnetic resonance (MR) imaging revealed a mixed solid and cystic multiloculated mass, with fat-fluid layers originating from the root of the small bowel mesentery. A CT-guided biopsy was performed. The fine-needle aspirate revealed calcified matter with no associated cellular material. No malignant cells were seen; CMLNS was established as the diagnosis. To the authors' knowledge, there are no previous reports in the literature describing the finding of rim calcification on US or MR imaging in the setting of CMLNS. CMLNS is an important diagnosis to consider, particularly in patients with a history of celiac disease. The finding of rim calcification on US in the setting of cavitating mesenteric adenopathy should prompt further diagnostic imaging studies such as CT or MR imaging. These may lead to additional pathology studies such as a CT-guided biopsy to further characterize the lesion at the cellular level, to investigate potential malignancy and to further guide follow-up and patient management.
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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 | 0.008 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".