Evidence map›Paper›PMID 25820977›Full record

ArticleSurgical and radiologic anatomy : SRA2015

Visualization of the omental bursa and its spatial relationships to left subphrenic extraperitoneal spaces by the second Chinese Visible Human model.

Haotong Xu, Ke Xiang, Maihong He, Fuzhou Tian, Yi Wu

Abstract read
In one paragraph

Article in Surgical and radiologic anatomy : SRA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Haotong XuPostdoctoral Workstation, The General Surgery Center of the Peoples' Liberation Army, Chengdu Military General Hospital, Chengdu, 610083, Sichuan, People's Republic of China, xuliangxman@hotmail.com.
Ke Xiang
Maihong He
Fuzhou Tian
Yi Wu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn order to overcome the obstacle that detailed spatial relationships of the omental bursa to its related spaces cannot be displayed clearly by thick-slice sectional anatomical imaging and computed tomography, we designed a new approach to three-dimensional (3D) visualization of the omental bursa.

methodsBy Amira(®) software, we employed thin-slice cross-sectional images of the upper abdomen retrieved from second Chinese Visible Human datasets to display the spatial relationships of the omental bursa to its related spaces, especially to the left subphrenic extraperitoneal spaces. Moreover, these spatial relationships were presented on 3D sections reconstructed from second Chinese Visible Human images and computed tomography images.

resultsOf importance, the gastric bare area is located among the superior, inferior, and splenic recesses. The appearance of the foramen bursae omenti majoris is the only pathway communicating between the superior and inferior recesses of the omental bursa, and also is the anatomic landmark between the superior and inferior recesses. The splenic recess is surrounded from behind by the splenic bare area and the gastric bare area.

conclusionAs one of the subphrenic spaces, the omental bursa with its related spaces was imaged three-dimensionally using a visualization technique. Familiarity with the anatomic location and spatial relationships of the omental bursa to its related spaces may be beneficial for the differential diagnosis and intervention, improving outcome.

Indexed as

Tomography, X-Ray ComputedVisible Human ProjectsAdultChinaFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMaleMiddle AgedPeritoneal CavitySoftwareSpleenYoung Adult

Identifiers

PMID25820977
PMCPMC4432027

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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.