Transrectal ultrasound - Techniques and outcomes in the management of intestinal endometriosis

In: Endoscopic Ultrasound · 2012 · vol. 1(1) , pp. 23 · doi:10.4103/2303-9027.117770 · W4231307424
Review OA: closed CC0 ⤵ 7 in-corpus citations
⚙ AI-generated summary by gemini-2.5-flash-lite, 2026-06-11 ⓘ

This review discusses transrectal ultrasound techniques and outcomes for evaluating intestinal endometriosis, an important consideration in symptomatic women of fertile age requiring accurate preoperative assessment.

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, 2026-09-30 · read from full text ⓘ

This study evaluated the feasibility of applying single-cell RNA sequencing to pancreatic ductal adenocarcinoma samples obtained via endoscopic ultrasound-guided fine-needle aspiration. The researchers compared quality metrics and cellular composition between these minimally invasive samples and those derived from surgical resection, finding that EUS-FNA samples yielded analyzable transcriptomic profiles with lower mitochondrial percentages but higher immune cell proportions. While the technical workflow proved successful, the authors noted differences in cell-type recovery likely due to biological and sampling effects, suggesting the two methods provide complementary information for future validation. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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

Abstract

The widespread use of endoscopic ultrasound has facilitated the evaluation of subepithelial and surrounding lesions of the gastrointestinal tract. Deep pelvic endometriosis, with or without infiltration of the intestinal wall, is a frequent disease that can be observed in women in their fertile age. Patients of this disease may present nonspecific signs and symptoms or be completely asymptomatic. Laparoscopic surgical resection of endometriotic lesions is the treatment of choice in symptomatic patients. An accurate preoperative evaluation is indispensable for therapeutic decisions mainly in the suspicion of intestinal wall and/or urinary tract infiltration, and also in cases where we need to establish histological diagnosis or to rule out malignant disease. Diagnostic tools, including transrectal ultrasound, magnetic resonance image, transvaginal ultrasound, barium enema, and colonoscopy, play significant roles in determining the presence, depth, histology, and other relevant data about the extension of the disease. Diagnostic algorithm depends on the clinical presentation, the expertise of the medical team, and the technology available at each institution. This article reviews and discusses relevant clinical points in endometriosis, including techniques and outcomes of the study of the disease through transrectal ultrasound and fine-needle aspiration.
Full text 2,061 characters · extracted from oa-doi-fallback · 4 sections · click to expand

Background

and Objectives: No unified consensus exists regarding standardized protocols for single-cell RNA sequencing (scRNA-seq) analysis of samples obtained via EUS-guided fine-needle aspiration (EUS-FNA). This study aimed to evaluate the feasibility of applying scRNA-seq to EUS-FNA-derived pancreatic ductal adenocarcinoma (PDAC) samples and to compare their quality metrics and cellular composition with those of surgical resection-derived samples.

Methods

PDAC samples obtained via EUS-FNA were subjected to scRNA-seq using the 10× Genomics platform. These data were integrated with publicly available PDAC scRNA-seq datasets derived from EUS-FNA and surgical resection samples. Quality-control metrics, doublet estimates, ambient RNA contamination scores, and cell-type composition were compared between sampling methods.

Results

Compared with surgical resection-derived samples, EUS-FNA-derived samples showed lower transcript abundance and lower mitochondrial transcript percentages, while exhibiting comparable detected gene numbers, estimated doublet proportions, and ambient RNA contamination scores. These findings suggest that EUS-FNA-derived samples can generate analyzable single-cell transcriptomic profiles under the workflow used in this study. Differences in recovered cell-type composition were observed between sampling methods: EUS-FNA-derived samples showed relatively higher proportions of immune cells, whereas surgical resection-derived samples showed relatively higher recovery of several nonimmune cell populations. These differences may reflect both biological characteristics and sampling-related technical effects.

Conclusions

This study supports the feasibility of scRNA-seq analysis using EUS-FNA-derived PDAC samples and suggests that EUS-FNA and surgical resection samples may provide complementary information. Further validation in larger, preferably paired prospective cohorts is warranted.

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-doi-fallback ⓘ

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

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.

Cited by (7)

Source provenance

openalex
last seen: 2026-06-10T17:14:06.276822+00:00
unpaywall
last seen: 2026-10-13T06:25:51.201866+00:00
License: CC0 · commercial use OK