Endometriosis: Hallazgos en RM. ¡Lo que tienes que saber!

Preciado Borreguero, Diego
2014 · doi:10.1594/seram2014/s-0574 · W6887516581
article OA: green CC0
🔓 Open OA copy Full text JSON View on OpenAlex View at publisher
⚙ AI-generated summary by qwen3.7-flash+body, 2026-09-15 ⓘ

This educational presentation illustrates the radiological characteristics of deep endometriosis on MRI to facilitate rapid diagnosis and effective pre-surgical planning for identifying extension, size, and number of lesions.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

⚙ AI-generated deep summary by qwen3.7-flash, 2026-09-15 · read from full text ⓘ

This educational poster outlines the radiological characteristics of deep endometriosis using magnetic resonance imaging to facilitate rapid diagnosis and effective pre-surgical planning. It highlights that while the etiology remains unknown, the condition commonly presents with dysmenorrhea, dyspareunia, and infertility in women of reproductive age, often showing poor correlation between clinical severity and imaging findings. The authors identify MRI as the superior non-invasive diagnostic tool for assessing lesion extent and size, emphasizing a minimum protocol of T1 and fat-saturated sequences to detect small implants hidden by adhesions. This paper is centrally about endometriosis — specifically focusing on the role of MRI in diagnosing deep infiltrating lesions and guiding surgical excision.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Full text 2,371 characters · extracted from oa-html · click to expand
SERAM 2014 / S-0574 Endometriosis: Hallazgos en RM. ¡Lo que tienes que saber! Congress: SERAM 2014 Poster Number: S-0574 Type: Presentación Electrónica Educativa Keywords: Cysts, Haemorrhage, Imaging sequences, Education, MR, Genital / Reproductive system female Authors: D. Preciado Borreguero1, A. MARTÍN2, V. P. Beltrán Salazar1, J. del Riego1, S. Ganau1, M. Sentís I Crivillé3; 1Sabadell/ES, 2BARCELONA/ES, 3ES DOI: 10.1594/seram2014/S-0574 Objetivo docente El objetivo de esta presentación es mostrar e ilustrar las características radiológicas de la endometriosis profunda, aportando consejos prácticos y dinámicos (¡¡lo que no se nos puede escapar!!) para un diagnóstico rápido y un eficaz planteamiento prequirúrgico. Revisión del tema La endometriosis es la presencia de tejido endometrial funcional fuera de la cavidad uterina y miometrio. Su etiología y patogénesis, aún son desconocidas, aunque existen varias teorías. Los síntomas suelen ser dismenorrea, dispareunia, infertilidad, dolor con la defecación y síntomas urinarios. Puede ser asintomática y los hallazgos por imagen pueden no correlacionarse con la severidad de la clínica. Incidencia en aumento. Predomina en mujeres en edad fértil (prevalencia entre el 5-10% de las mujeres).Es la causa más frecuente de esterilidad en mujeres de más de... Conclusiones La RM se ha demostrado la mejor técnica diagnóstica no invasiva para la endomentriosis: extensión, tamaño y número de endometriomas o implantes. Muy importante para el diagnóstico prequirúrgico y asegura la escisión quirúrgica completa. Conocer la anatomía pélvica. Protocolo mínimo imprescindible: Secuencias T1 y fat sat. Capaz de detectar pequeños implantes, y los escondidos por las adherencias. Bibliografía Coutinho A, Jr., Bittencourt LK, Pires CE, Junqueira F, Lima CM, Coutinho E, et al. MR imaging in deep pelvic endometriosis: a pictorial essay. Radiographics 2011 Mar;31(2):549-67. Paula J. Woodward, Roya Sohaey, Thomas P Mezzetti, Jr. From the Archives of the AFIP Endometriosis: Radiologic-Pathologic Correlation. Radiographics 2001; 21:193-216 Karen Kinkel, Kathrin A. Frei, Corinne Balleyguier, Charles Chapron. Diagnosis of endometriosis with imaging: a review. Eur Radiol (2006) 16: 285–298 Leonardo Marcal, Maria Angela Nothaft, Francisco Coelho, Haesun Choi.Deep pelvic endometriosis: MR imaging. Abdom Imaging (2010)...

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

⚙ Ask this paper AI returns verbatim quotes from the full text · source: oa-html ⓘ

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Condition tags

endometriosis

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

openalex
last seen: 2026-05-10T11:09:15.517794+00:00
License: CC0 · commercial use OK