Massive mesenteric panniculitis due to fibromuscular dysplasia of the inferior mesenteric artery: a case report
Bibliographic record
Abstract
BACKGROUND: Fibromuscular dysplasia (FMD) is a nonatheromatous, noninflammatory arterial disorder of unknown etiology resulting in vessel stenosis and/or aneurysm formation. The renal and cephalocervical (mainly carotid arteries) arterial beds are classically involved; involvement of visceral arteries is rare. Mesenteric panniculitis (MP) is an inflammatory process of mesenteric fat considered to be of unknown etiology. The majority of cases involve the small bowel mesentery; colorectal MP is rare. To our knowledge, no example of MP due to FMD has been described. CASE PRESENTATION: A 52 year old man presented with steadily worsening lower abdominal pain. Investigation revealed ischemic rectosigmoid mucosa associated with a large mesenteric mass of unknown nature. Angiography showed the disease was limited to the distribution of the inferior mesenteric artery. Subsequent symptoms of large bowel obstruction necessitated a left hemicolectomy. Pathologic examination showed bowel wall necrosis and massive panniculitis of the rectosigmoid due to FMD. Subsequent angiographic imaging of other vascular beds was negative. CONCLUSIONS: Several features of this case are noteworthy: FMD limited to the inferior mesenteric artery has not been previously reported, FMD has not previously been implicated as a cause of MP, and the massive extent of panniculitis. An accompanying literature review of cases of visceral FMD, traditionally believed to almost exclusively affect females, highlights a greater than anticipated number of males (33%), and a gender difference regarding concomitant involvement of cephalocervical and/or renal vascular beds (32% in males versus 80% in females). The latter observation may have implications regarding the value of radiologic screening of other vascular beds, particularly in asymptomatic males, in patients presenting with visceral artery FMD.
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 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.004 |
| 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".