Evidence map›Paper›PMID 42597644›Full record

ArticleOncology letters2026

Imaging features and clinical management of mesenteric cavernous lymphangioma: A case report and literature review.

Zhongze Zhao, Ermin Cai, Tong Zhou, Jianju Feng, Lingzhi Gu

Abstract readCase Reports
In one paragraph

Article in Oncology letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhongze ZhaoDepartment of Radiology, Traditional Chinese Medical Hospital of Zhuji, Shaoxing, Zhejiang, 311800, P.R. China.
Ermin CaiDepartment of Radiology, Zhuji People's Hospital, Shaoxing, Zhejiang 311800, P.R. China.
Tong ZhouDepartment of Radiology, Zhuji People's Hospital, Shaoxing, Zhejiang 311800, P.R. China.
Jianju FengDepartment of Radiology, Zhuji People's Hospital, Shaoxing, Zhejiang 311800, P.R. China.
Lingzhi GuDepartment of Radiology, Zhuji People's Hospital, Shaoxing, Zhejiang 311800, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesenteric cavernous lymphangioma (MCL) is a rare benign mesenchymal tumor arising from the mesentery. The current study presents the detailed clinical course and management of a patient with MCL. The patient underwent a complete resection of the mesenteric mass, a partial jejunal resection and a jejunojejunostomy in July 2021. On postoperative day 5, a low-output enterocutaneous fistula developed, which was successfully managed with conservative treatment. At the 4.5-year follow-up, the patient remained in stable condition with no evidence of disease recurrence. Although MCL is histologically benign, its locally infiltrative growth pattern can mimic malignant soft-tissue tumors, particularly liposarcomas, on imaging and clinical presentation, leading to diagnostic uncertainty and potential overtreatment. Therefore, accurate identification of the characteristic radiological features of MCL is essential not only for an accurate preoperative diagnosis but also for surgical planning and intraoperative decision-making. However, the existing literature consists predominantly of small case series and individual case reports, and comprehensive analyses of the clinical and imaging characteristics of MCL remain lacking. The current study presents a case of MCL and conducts a systematic review of the literature to comprehensively characterize its clinical and imaging manifestations, thereby providing evidence to support the accurate preoperative diagnosis of MCL.

Indexed as

abdomencavernous lymphangiomacomputed tomographymagnetic resonance imagingmesentery

Identifiers

PMID42597644
PMCPMC13470234

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.