Quantification of Endometrial Fibrosis Using Noninvasive MRI T2 Mapping: Initial Findings.

J Magn Reson Imaging

Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.

Published: December 2023

Background: Endometrial fibrosis may cause infertility. Accurate evaluation of endometrial fibrosis helps clinicians to schedule timely therapy.

Purpose: To explore T2 mapping for assessing endometrial fibrosis.

Study Type: Prospective.

Population: Ninety-seven women with severe endometrial fibrosis (SEF) and 21 patients with mild to moderate endometrial fibrosis (MMEF), diagnosed by hysteroscopy, and 37 healthy women.

Field Strength/sequence: 3T, T2-weighted turbo spin echo (T2-weighted imaging) and multi-echo turbo spin echo (T2 mapping) sequences.

Assessment: Endometrial MRI parameters (T2, thickness [ET], area [EA], and volume [EV]) were measured by N.Z. and Q.H. (9- and 4-years' experience in pelvic MRI) and compared between the three subgroups. A multivariable model including MRI parameters and clinical variables (including age and body mass index [BMI]) was developed to predict endometrial fibrosis assessed by hysteroscopy.

Statistical Tests: Kruskal-Wallis; ANOVA; Spearman's correlation coefficient (rho); area under the receiver operating characteristic curve (AUC); binary logistic regression; intraclass correlation coefficient (ICC). P value <0.05 for statistical significance.

Results: Endometrial T2, ET, EA, and EV of MMEF patients (185 msec, 8.2 mm, 168 mm , and 2181 mm ) and SEF patients (164 msec, 6.7 mm, 120 mm , and 1762 mm ) were significantly lower than those of healthy women (222 msec, 11.7 mm, 316 mm , and 3960 mm ). Endometrial T2 and ET of SEF patients were significantly lower than those of MMEF patients. Endometrial T2, ET, EA, and EV were significantly correlated to the degree of endometrial fibrosis (rho = -0.623, -0.695, -0.694, -0.595). There were significant strong correlations between ET, EA, and EV in healthy women and MMEF patients (rho = 0.850-0.908). Endometrial MRI parameters and the multivariable model accurately distinguished MMEF or SEF from normal endometrium (AUCs >0.800). Age, BMI, and MRI parameters in univariable analysis and age and T2 in multivariable analysis significantly predicted endometrial fibrosis. The reproducibility of MRI parameters was excellent (ICC, 0.859-0.980).

Data Conclusion: T2 mapping has potential to noninvasively and quantitatively evaluate the degree of endometrial fibrosis.

Evidence Level: 2 Technical Efficacy: Stage 2.

Download full-text PDF

Source
http://dx.doi.org/10.1002/jmri.28746DOI Listing

Publication Analysis

Top Keywords

endometrial fibrosis
28
mri parameters
16
endometrial
9
turbo spin
8
spin echo
8
correlation coefficient
8
fibrosis
7
mri
6
quantification endometrial
4
fibrosis noninvasive
4

Similar Publications

The endometrium, the inner lining of the uterus, assumes a crucial role in the female reproductive system. Disorders and injuries impacting the endometrium can lead to profound consequences, including infertility and compromised women's overall health. Recent advancements in stem cell research have opened new possibilities for the treatment and repair of endometrial issues.

View Article and Find Full Text PDF

Single-cell and spatial transcriptomic profiling revealed niche interactions sustaining growth of endometriotic lesions.

Cell Genom

January 2025

National Clinical Research Center for Obstetric & Gynecologic Diseases, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China. Electronic address:

Endometriosis is a chronic condition with limited therapeutic options. The molecular aberrations promoting ectopic attachment and interactions with the local microenvironment sustaining lesion growth have been unclear, prohibiting development of targeted therapies. Here, we performed single-cell and spatial transcriptomic profiling of ectopic lesions and eutopic endometrium in endometriosis.

View Article and Find Full Text PDF

Background: Endometriosis is characterized by the ectopic growth of endometrial-like cells, causing chronic pelvic pain, adhesions and impaired fertility in women of reproductive age. Usually, these lesions grow in the peritoneal cavity in a hypoxic environment. Hypoxia is known to affect gene expression and protein kinase (PK) activity.

View Article and Find Full Text PDF

Background: Intrauterine adhesion (IUA) is a common cause of clinically refractory infertility, and there exists significant heterogeneity in the treatment outcomes among IUA patients with the similar severity after transcervical resection of adhesion(TCRA). The underlying mechanism of different treatment outcomes occur remains elusive, and the precise contribution of various cell subtypes in this process remains uncertain.

Results: Here, we performed single-cell transcriptome sequencing on 10 human endometrial samples to establish a single-cell atlas differences between patients who responded to estrogen therapy and those who did not.

View Article and Find Full Text PDF

Long-term therapeutic effects of allogeneic mesenchymal stem cell transplantation for intrauterine adhesions.

Stem Cell Res Ther

December 2024

The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China.

Background: Intrauterine adhesion (IUA), resulting from uterine trauma, is one of the major causes of female infertility. Previous studies have demonstrated that endometrial mesenchymal stem cells (eMSC) have therapeutic effects on IUA through cellular secretions. It is particularly true for most of the pre-clinical experiments performed on multiple animal models, as human-derived eMSC cannot maintain long-term engraftment in animals.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!