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Record W4293229572 · doi:10.52083/ouwb2921

Human portal system morphometry based on 3D computer aided modelling

2022· article· en· W4293229572 on OpenAlexaboutno aff
Andrey N Russkikh

Bibliographic record

VenueEuropean Journal of Anatomy · 2022
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Surgical Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsBranching (polymer chemistry)SegmentationPortal veinAnatomySuperior mesenteric veinDICOMPortal venous systemScripting languageComputer scienceMedicineBiomedical engineeringComputer visionArtificial intelligenceRadiologyPortal hypertensionMaterials science

Abstract

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There is no discussion about human portal system variability. Features of interposition, veins branching included in this system, stereometric and lineal characteristics define its development, stream and ways of operation interference for several surgery diseases, which all in all decides the end of surgery pathology. Morphometry study of portal system using computer-aided modelling and methods of computational anatomy has been performed. DICOM data segmentation was performed using Dragonfly software (Object Research Systems, Canada) at the Innovation Technology Management Resources of the Reaviz University. Using series with arterial and vein contrast, we performed the segmentation of contrasting vessels, obtained three-dimensional data topology in .obj format. Then we processed the obtained models using scripts prepared for the pythonOCC framework. We built the central lines of the vessels and formed the branching tree. Methods of computational hemodynamics were implemented using the Visual-CFD application for OpenFOAM environment (ESI, France). Veins forming the portal vein are presented by three systems; in every one of them there are scapi and affluxes, which are different in branching types and other morphological characteristics. The superior mesenteric vein, for instance, is characterized by interjacent branching type, has one scapus 93,5 (78,5; 119,5) mm in length and diameter 9,5 (6,5; 12,0) mm, going to portal vein under the corner 170,0 (160,0; 175,0)0, and formed by venous inflows of majority unpaired organs of upper and down floors in abdominal cavity. Affluxes of the superior mesenteric vein have almost the same diameter from 3,5 to 12 mm but the length. The shortest affluxes are jejunal ones (40,0 (38,5; 46,5) mm) and right gastroepiploic vein (45,0 (38,5; 53,5) mm), then iliac (50,0 (48,5; 53,5) mm), middle colonic (60,0 (58,5; 63,5) mm) and iliac colonic (70,0 (68,5; 78,5) mm) veins. The system of inferior mesenteric vein contains a lower number of veins going to its bed in comparison with vessels net of superior mesenteric vein. Magistral type of branching of inferior mesenteric vein is found in 23% of cases and in 77% of cases it has interjacent type of branching. In case of interjacent type of branching mesenteric vein goes to superior mesenteric vein between right colonic and jejuna veins. Inferior mesenteric vein of magistral type goes to splenic vein in most cases (as it is shown on picture 1) or it is independent afflux of portal vein. Its diameter is significantly less than diameter of superior mesenteric vein and makes 4,5 (2,0; 6,5) mm. The current research gives quantitative orienting points for main vein structures of portal vein system. The research results have allowed adding science materials about types of branching and morphological patterns of portal vein and its branching. Variations common for every system are preferably being used for regulation of the discussed subject in terms of tactic patients’ curing with syndrome of portal hypertension or at the step of pre surgical preparation.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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.

Opus teacher head0.024
GPT teacher head0.264
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2022
Admission routes1
Has abstractyes

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