[Deep Infiltrating Endometriosis - a Systematic Approach to Diagnostics and Surgery Planning]

Burla L, Laurin Burla, Daniel Fink, Fink D, Imesch P, Patrick Imesch
Praxis · 2020 · vol. 109(9) , pp. 725–730 · doi:10.1024/1661-8157/a003481 · PMID:32635852 · W3041751804
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A systematic approach using MRI and the Enzian classification can improve diagnosis and surgical planning for deeply infiltrating endometriosis.

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The provided text is not a biomedical research paper but rather a technical explanation of a web security mechanism called Anubis. It describes how the system uses a Proof-of-Work scheme to protect servers from aggressive AI scraping by imposing computational costs on automated bots. The text notes that this is a temporary solution until more advanced fingerprinting techniques can distinguish between legitimate users and headless browsers. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Deep Infiltrating Endometriosis - a Systematic Approach to Diagnostics and Surgery Planning Abstract. Although endometriosis is a common gynaecological clinical picture in women of reproductive age, diagnosis and therapy often begin late after the onset of symptoms. The explanation probably lies on the one hand in the manifold manifestations, the diffuse complaints and the unfortunately rather low awareness of this pathology. On the other hand, the diagnostic procedure itself represents a challenge. In particular, the deeply infiltrating form of endometriosis is a severe form, which often requires surgical therapy. A systematic approach using MRI imaging and preoperative classification using Enzian classification can facilitate the procedure and simplify therapy planning.
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Outcome instruments

Enzian

Condition tags

endometriosisdie_deep_infiltrating

MeSH descriptors

Endometriosis Endometriosis Endometriosis Endometriosis Female Female Humans Humans Magnetic Resonance Imaging Magnetic Resonance Imaging

Citation neighborhood (2-hop)

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. Outer rings show 2-hop neighbours — papers reached through the immediate citers/citees. [ collapse to 1-hop ]

References (16)

Source provenance

europepmc
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License: CC0 · commercial use OK