ENDOMETRIOSIS: RECENT DIAGNOSTIC STRATEGIES

Ryan Rafael Barros de Macedo, Nicoly Peres Lacerda, Dalila Ribeiro Maia Gomes, Daniela Calumby de Souza Gomes, Maria Geângela da Silva Oliveira, Rafael Machado de Souza, Valmiqui Costa Lima, Richardson Augusto Rosendo da Silva, Carlos Eduardo da Silva Ferreira Filho, Carlos Ademar Dias Arruda Filho, Antonio Alcides Janja Melo, Tiê Barbosa Arruda, Tales Gemaque Matos, Thiago Andrade Vieira, Thiago de Oliveira Vieira
In: International Journal of Health Science · 2025 · vol. 5(18) , pp. 1–7 · doi:10.22533/at.ed.15951825100414 · W4409349860
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⚙ AI-generated summary by claude@2026-06, 2026-06-07 ⓘ

This review discusses current laparoscopic, ultrasound, and MRI diagnostic methods for endometriosis while exploring promising less invasive approaches like peritoneal microbiota analysis, epigenetic biomarkers, artificial intelligence, and nanotechnology.

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⚙ AI-generated deep summary by claude@2026-06, 2026-06-07 · read from full text ⓘ

This paper reviews current and emerging diagnostic strategies for endometriosis, describing the condition’s prevalence, typical impact on pelvic pain and infertility, and the challenge of delayed diagnosis. It notes that laparoscopy remains the gold standard for detection, while ultrasound and MRI are also used, particularly for deep lesions. The authors highlight potential less invasive approaches including analysis of peritoneal microbiota and epigenetic biomarkers, as well as technologies like artificial intelligence and nanotechnology aimed at speeding diagnosis. The paper explicitly states that more clinical validation is needed to integrate these innovations into clinical practice. This paper is centrally about endometriosis — it focuses specifically on recent diagnostic strategies.

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Abstract

Endometriosis is a chronic gynaecological disease characterized by the presence of endometrial tissue outside the uterine cavity, mainly affecting the ovaries and peritoneum.Its prevalence is 6% to 10% among women of reproductive age and it is one of the main causes of pelvic pain and infertility.Diagnosis is challenging, often leading to a delay of up to 10 years.Laparoscopy remains the gold standard, although methods such as ultrasound and MRI are also used to detect deep lesions.New approaches, such as the analysis of peritoneal microbiota and epigenetic biomarkers, show potential for less invasive and more accurate diagnoses.In addition, the application of technologies such as artificial intelligence and nanotechnology can speed up diagnosis and improve treatment.However, more clinical validation is needed to integrate these innovations into clinical practice.
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Keywords

Endometriosis: Recent Diagnostic Strategies -

Abstract

Endometriosis is a chronic gynaecological disease characterized by the presence of endometrial tissue outside the uterine cavity, mainly affecting the ovaries and peritoneum. Its prevalence is 6% to 10% among women of reproductive age and it is one of the main causes of pelvic pain and infertility. Diagnosis is challenging, often leading to a delay of up to 10 years. Laparoscopy remains the gold standard, although methods such as ultrasound and MRI are also used to detect deep lesions. New approaches, such as the analysis of peritoneal microbiota and epigenetic biomarkers, show potential for less invasive and more accurate diagnoses. In addition, the application of technologies such as artificial intelligence and nanotechnology can speed up diagnosis and improve treatment. However, more clinical validation is needed to integrate these innovations into clinical practice. - RYAN RAFAEL BARROS DE MACEDO - NICOLY PERES LACERDA - DALILA RIBEIRO MAIA GOMES - MARIA LUIZA PEREIRA DE OLIVEIRA - RAFAEL MACHADO DE SOUZA - VINICIUS COIMBRA LIMA - RICHARDSON OLIVEIRA SILVA - CARLOS ADEMAR DIAS ARRUDA FILHO - ANTONIO ALCIDES JANJA MELO - TIÊ BARBOSA ARRUDA - TALES GEMAQUE MATOS - THIAGO ANDRADE VIEIRA

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Condition tags

endometriosisinfertility

Citation neighborhood

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. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (12)

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