Application of elastography to diagnose adenomyosis and evaluate the degree of dysmenorrhea: a prospective observational study

article OA: gold CC0 ⤵ 2 in-corpus citations
AI-generated summary by claude@2026-06, 2026-06-07

This study found that adenomyosis lesion stiffness measured by elastography positively correlates with dysmenorrhea severity and can diagnose adenomyosis and evaluate severe dysmenorrhea.

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

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

This prospective observational study evaluated whether strain elastography–measured tissue stiffness correlates with dysmenorrhea severity and whether elastography can diagnose adenomyosis, recruiting 57 premenopausal women with imaging-diagnosed adenomyosis and 39 controls without myometrial lesions. Using blinded transvaginal ultrasound strain elastography performed within 1 day of conventional TVUS, the study found that dysmenorrhea severity (NRS grouped none/mild, moderate, severe) was significantly positively correlated with lesion stiffness but not with uterine or lesion volume; elastography showed high diagnostic performance for adenomyosis (strain ratio cutoff >1.36, AUC 0.987) and for severe dysmenorrhea in adenomyosis (cutoff >1.65, AUC 0.849). In surgical specimens, TGF-β, α-SMA, and PGP9.5 were higher in adenomyotic lesions than endometrium in adenomyosis and control groups, with TGF-β and α-SMA correlating with tissue stiffness and fibrosis and PGP9.5 correlating with stiffness and dysmenorrhea; a key limitation is that tissue-marker analyses were based on a subset of women who underwent surgery. This paper is centrally about adenomyosis—using strain elastography to diagnose adenomyosis and link lesion stiffness to dysmenorrhea severity.

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

Abstract

BACKGROUND: To determine whether there is a correlation between stiffness measured by strain elastography and the severity of dysmenorrhea and to determine the value of elastography in evaluating severe dysmenorrhea in patients with adenomyosis. METHODS: The correlation between tissue stiffness and dysmenorrhea was analyzed by performing elastography on premenopausal women diagnosed with adenomyosis. Expression levels of transforming growth factor-β (TGF-β), α-smooth muscle actin (α-SMA), and protein gene product 9.5 (PGP9.5) were detected by immunohistochemistry; the correlation of TGF-β and α-SMA levels with the tissue stiffness and the degree of fibrosis was further analyzed. Also, the relationship of the PGP9.5 expression level with the tissue stiffness and degree of dysmenorrhea was determined. RESULTS: The degree of dysmenorrhea was significantly positively correlated with lesion stiffness in patients with adenomyosis but not with the uterine or lesion volume. The cutoff for the strain ratio was > 1.36 between the adenomyosis and control groups, with an area under the curve (AUC) of 0.987. For severe dysmenorrhea, the cutoff for the strain ratio was > 1.65 in patients with adenomyosis, with an AUC of 0.849. TGF-β, α-SMA, and PGP9.5 expression levels were higher in adenomyotic lesions than in the endometrium of the adenomyosis and control groups. Both TGF-β and α-SMA levels were positively correlated with the tissue stiffness and degree of fibrosis. Additionally, the expression level of PGP9.5 showed a positive correlation with the tissue stiffness and degree of dysmenorrhea. CONCLUSIONS: Elastography can be used to evaluate the degree of dysmenorrhea; the greater the tissue stiffness, the greater the degree of dysmenorrhea. In addition, elastography performed well in the diagnosis of adenomyosis and the evaluation of severe dysmenorrhea in patients with adenomyosis.
Full text 41,802 characters · extracted from oa-pdf · 13 sections · click to expand

Abstract

Background To determine whether there is a correlation between stiffness measured by strain elastography and the severity of dysmenorrhea and to determine the value of elastography in evaluating severe dysmenorrhea in patients with adenomyosis.

Methods

The correlation between tissue stiffness and dysmenorrhea was analyzed by performing elastography on premenopausal women diagnosed with adenomyosis. Expression levels of transforming growth factor-β (TGF-β), α-smooth muscle actin (α-SMA), and protein gene product 9.5 (PGP9.5) were detected by immunohistochemis- try; the correlation of TGF-β and α-SMA levels with the tissue stiffness and the degree of fibrosis was further ana- lyzed. Also, the relationship of the PGP9.5 expression level with the tissue stiffness and degree of dysmenorrhea was determined.

Results

The degree of dysmenorrhea was significantly positively correlated with lesion stiffness in patients with adenomyosis but not with the uterine or lesion volume. The cutoff for the strain ratio was > 1.36 between the adenomyosis and control groups, with an area under the curve (AUC) of 0.987. For severe dysmenorrhea, the cutoff for the strain ratio was > 1.65 in patients with adenomyosis, with an AUC of 0.849. TGF-β, α-SMA, and PGP9.5 expression levels were higher in adenomyotic lesions than in the endometrium of the adenomyosis and control groups. Both TGF-β and α-SMA levels were positively correlated with the tissue stiffness and degree of fibrosis. Additionally, the expression level of PGP9.5 showed a positive correlation with the tissue stiffness and degree of dysmenorrhea.

Conclusions

Elastography can be used to evaluate the degree of dysmenorrhea; the greater the tissue stiffness, the greater the degree of dysmenorrhea. In addition, elastography performed well in the diagnosis of adenomyosis and the evaluation of severe dysmenorrhea in patients with adenomyosis.

Keywords

Adenomyosis, Diagnosis, Dysmenorrhea, Elastography, Fibrosis Open Access © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecom- mons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Reproductive Biology and Endocrinology †Qianhui Ren and Xiangyi Dong are joint first authors. *Correspondence: Guowei Tao [email protected] Wang Guoyun [email protected] Full list of author information is available at the end of the article Page 2 of 11Ren et al. Reproductive Biology and Endocrinology (2023) 21:98

Background

Adenomyosis is a common benign gynaecological con - dition characterized by ectopic endometrial glands and stroma within the myometrium. The prevalence of aden - omyosis ranges widely, from 5 to 70%, in women who undergo hysterectomies. This variation in rates may be due to various diagnostic criteria, different patient popu - lations, and pathologist bias [1, 2]. Adenomyosis induces progressive dysmenorrhea, menorrhagia, and infertility, adversely affecting women’s quality of life. Adenomyosis was also associated with a more than doubled risk of mis- carriage [3]; however, it is important to note that up to 35% of women show no symptoms [3], which can easily lead to delayed diagnosis. Consequently, it is necessary to find a possible approach to diagnose adenomyosis early and evaluate its progress. Emerging evidence has shown that repeated tissue injury and repair (ReTIAR) play an important role in the development of adenomyosis [4–6], eventually leading to fibrogenesis through an epithelial-mesenchymal transi - tion (EMT) and fibroblast-to-myofibroblast transition (FMT), similar to endometriosis. Hence, the extent of lesion fibrosis may reflect the severity of adenomyosis. Transvaginal ultrasound (TVUS) is a common first-line imaging diagnostic method for adenomyosis with good specificity and sensitivity, similar to those of magnetic resonance imaging (MRI) [6–9]. Compared with MRI, TVUS has the advantage of being repeatable, less costly, and widely available [3, 7, 9]. However, sonographers still face challenges when interpreting the ultrasound features associated with adenomyosis, most of which depend on subjective pattern recognition rather than objec - tive measurement parameters [10]. Elastography, as an emerging imaging technique, can objectively reflect tis - sue stiffness. A positive correlation between tissue stiff - ness assessed by elastography and the degree of fibrosis has been reported [11]. Elastography could be mainly divided into two categories: stain imaging and shear- wave imaging. The tissue response to mechanical stimuli is used to quantify the tissue stiffness in both approaches [9, 11]. Elastography has proven useful in assessing the extent of tissue fibrosis and diagnosing benign and malig- nant diseases in the liver, breast, and other organs [12]. However, studies of elastography in gynaecology have only recently begun. Lesion stiffness in both adenomyo - sis and deep infiltrating endometriosis is stiffer than in adjacent normal tissues. It is reported that elastography may be promising in diagnosing and characterizing pel - vic endometriotic lesions and adenomyosis [11]. This study aimed to determine whether a correlation exists between stiffness measured by strain elastogra - phy and the degree of dysmenorrhea. Further, Masson’s trichrome staining and immunohistochemistry (IHC) were performed to determine the extent of fibrosis and expression levels of transforming growth factor-β (TGF- β); α-smooth muscle actin (α-SMA), a marker of fibrosis; and protein gene product 9.5 (PGP9.5), a marker of nerve fibres, in order to evaluate the relationship of these mark- ers with lesion stiffness and the degree of dysmenorrhea.

Methods

Patients and specimens We enrolled patients who visited Qilu Hospital, Shan - dong University, between September 2021 and October 2022. The inclusion criteria for the study group were as follows: 1) patients diagnosed with adenomyosis based on clinical symptoms and imaging findings such as ultra - sound, 2) premenopausal patients aged 18–50  years, 3) patients with dysmenorrhea with or without menorrha - gia, 4) patients who had not received hormone therapy in the last three months, and 5) patients without reproduc - tive system malignancies or pelvic inflammatory disease. Premenopausal patients without myometrial lesions or a history of reproductive system malignancies or infection were included in the control group. Further, non-sexual or menopausal women, patients with a previous or cur - rent history of reproductive system malignancies, and pregnant patients or those with coinfection of the repro - ductive system were excluded from the study. Finally, we recruited 39 premenopausal women as the control group and 57 premenopausal women as the adenomyosis group. Demographic data and detailed medical histories were recorded before TVUS. Demographic informa - tion, including age, body mass index (BMI; kg/m 2), age at menarche, gravidity, parity, mode of delivery, frequency and duration of menstrual periods, amount of menses, degree of dysmenorrhea, medication, and surgical his - tory, were collected and recorded using questionnaires. All patients’ medical records, including intraopera - tive and pathological findings, were also recorded. The degree of dysmenorrhea was quantified using a numeri - cal rating scale (NRS) from 0–10, with 0 representing no pain and 10 representing maximum pain. NRS scores were grouped into three levels: 0–3, none or mild; 4–6, moderate; and 7–10, severe. The amount of menses was recorded as mild, moderate, or severe based on the sub - jective evaluation of the patients. The eutopic endometrium and adenomyotic tissue samples were collected from 20 patients with adenomyo - sis who underwent surgery. For the control group, speci - mens of the eutopic endometrial and normal myometrial tissues were obtained from 15 patients who underwent hysterectomy. This study was approved by the ethics committee of the Medical Integration and Practice Center, Shandong University (approval number SDULCLL2022-1–21). Page 3 of 11 Ren et al. Reproductive Biology and Endocrinology (2023) 21:98 All patients included in the study signed informed consent forms. Evaluation of the conventional TVUS and Elastography TVUS and strain elastography were performed by a single-trained ultrasound specialist with several years of experience in gynaecological sonography, especially for adenomyosis. All enrolled patients underwent both conventional TVUS and strain elastography using the Nuewa R9 with a DE10-3WU transvaginal probe (Min - dray, Shenzhen, China) less than 1 d preoperatively or during the outpatient examination. The sonographer was blinded to patients’ clinical information. Con - ventional TVUS was initially performed to diagnose adenomyosis according to the Morphological Uterus Sonographic Assessment criteria [13, 14]. The follow - ing information was recorded: volume of the uterus, thickness of the anterior and posterior walls, site and extent of typical adenomyotic lesions, and presence of ovarian endomyoma, endometrial polyps, and uterine fibroids. The volume of the uterus was recorded in the control group. The uterine and lesion volumes were calculated using the following formula for an ovoid: volume = D1 × D2 × D3 × 0.52, where D1, D2, and D3 represent the vertical, transverse, and anteroposterior diameters of the uterus or lesion, respectively. Strain elastography was subsequently performed on all recruited patients. The elastograms of typi - cal lesions were visualized in real time, followed by a B-mode image. To evaluate the strain ratio of the lesion, we applied external pressure using an ultra - sound probe to produce a deformation. Three cycles of gentle compression and decompression were then performed. The elastogram images were colour-coded as red, yellow, green, and blue. The different colours represented the tissue stiffness relative to that of the endometrium or adjacent bowel. Blue represented the softest tissue, and red represented the hardest tissue. For the adenomyosis group, a region of interest (ROI) was set in the typical lesion area of the uterus, while another region of interest (Ref) was set in the adjacent normal myometrium. The stiffness of the lesion was semi-quantified using the ratio of Ref/ROI. The higher the ratio, the greater the stiffness of the lesion. For the control group, we set two regions of interest (ROI1 and ROI2) in the uterus, and the ratio of ROI1/ROI2 represented the stiffness of the normal myometrium. To eliminate possible bias and maintain consistency, three strain ratios were measured for each patient, and the mean value was used as the stiffness of the lesion or normal myometrium. IHC Analysis Serial 4-mm sections were obtained from each block. Routine deparaffinization and rehydration were per - formed. The first resultant slide was stained with hema - toxylin and eosin (H&E) to confirm the pathological diagnosis. Then, adenomyotic lesions and the eutopic endome - trium of patients with adenomyosis and the control group underwent IHC staining for TGF-β, α-SMA, and PGP9.5. For antigen retrieval, the EDTA buffer (pH = 8.0) was microwaved on high for 5 min to a boil, and then the sections were heated in EDTA buffer on low for 15 min and cooled to room temperature. Next, the sections were treated with 3% hydrogen peroxide to block the activ - ity of endogenous peroxidase for 30  min at 37℃. After the samples were blocked with 5% bovine serum albu - min (BSA; Boster, Wuhan, China) for 50  min at 37℃, they were incubated with the primary antibody against TGF-β (1:100; Abcam, Cambridge, England), α-SMA (1:100; Abcam), and PGP9.5 (1:250; Abcam) overnight at 4 ℃. The sections were rinsed three times with PBS buffer and incubated with the horseradish peroxidase (HRP)-labelled secondary anti-rabbit/mouse antibody for 30 min at 37℃. The sections were then washed with PBS and treated with glucose oxidase-diaminobenzidine for microscopic observation. Finally, they were incubated with hematoxylin for 30 s, differentiated, and stained with anti-blue. The expression level of the targeted substance was semi-quantitatively calculated based on the propor - tion of positive cell areas using ImageJ software (National Institutes of Health, USA). To reduce bias and ensure reliability, a series of 3–5 randomly selected images for every section were taken to obtain a mean value. Masson’s Trichrome staining Masson’s trichrome staining was used to detect collagen fibres in the lesion tissue in adenomyosis samples and the normal myometrium in control samples; it was per - formed according to common protocols using a Masson’s trichrome staining kit (Solarbio, Beijing, China). After Masson’s trichrome staining, images were observed and captured using a microscope. Collagen fibres appeared blue, whereas smooth muscle fibres and red blood cells appeared red. The extent of fibrosis was represented by the relative content of collagen fibres, which was evalu - ated by the ratio of positive fibres to the total tissue area and calculated using Image-Pro Plus 6.0 (Media Cyber - netics Inc., Bethesda, Massachusetts, USA). Statistical analysis Statistical analyses were conducted using SPSS Statis - tics version 26.0 (IBM Corp., Armonk, NY, USA) and Page 4 of 11Ren et al. Reproductive Biology and Endocrinology (2023) 21:98 GraphPad Prism 8.0.1 software. All continuous vari - ables are expressed as mean ± standard deviation (SD) or median (interquartile [IQR]), depending on whether these data conform to a normal distribution, as assessed by the Shapiro–Wilk test. Categorical variables are pre - sented as frequencies. Continuous variables conforming to a normal distribution between two groups were com - pared using the Student’s t-test, while continuous varia - bles conforming to a normal distribution among three or more groups were compared using a one-way analysis of variance (ANOVA). For continuous variables that did not conform to a normal distribution, a nonparametric rank sum test was performed. Pearson’s X2 or Fisher’s exact test was used to compare differences in categorical vari - ables. Correlations between tissue stiffness and dysmen - orrhea and between the extent of fibrosis and the level of TGF-β, α-SMA, and PGP9.5 were assessed by Pearson’s coefficient. P-values < 0.05 were considered statistically significant.

Results

The demographic and clinical characteristics of the patients are listed in Table  1. Ninety-six patients were enrolled in this study: 57 with adenomyosis (adenomyo - sis group) and 39 without myometrial lesions (control group). Patients with adenomyosis had higher dysmenor- rhea scores than those of the control group. The uterine volume was significantly different between the adenomy - osis and control groups (280.22 and 91.27 cm3, respec - tively) (Fig. 1a), whereas no differences were found in age (P = 0.217) or BMI (P = 0.122). Patients with adenomyo - sis mainly presented with severe dysmenorrhea (82.46%) and heavy menstrual bleeding (75.44%), whereas patients in the control group mainly had none or mild dysmenor - rhea (97.44%) and moderate menstruation (64.10%). Higher stiffness of adenomyosis lesions than control normal myometrium An enlarged spherical uterus with inhomogeneous echo - genicity within the lesion or focal inhomogeneous echo - genicity within the myometrium with no clear boundary to the adjacent normal myometrium was observed in the TVUS images of the adenomyosis group (Fig.  2a). Elas - tograms of adenomyotic lesions were encoded mainly in red, while those surrounding normal myometrium in adenomyosis patients were encoded in very green and slightly yellow colours. The myometrial echogenicity in the control group was homogeneous, and elastograms of the myometrium were encoded mainly in red and yellow (Fig.  2b). The stiffness, calculated as Ref/ROI (or ROI1/ ROI2), was significantly higher in adenomyotic lesions than in the normal control myometrium (Fig.  1b). The cutoff for the strain ratio between the adenomyosis and control groups was > 1.36, with a sensitivity of 94.7%, specificity of 100%, and area under the curve (AUC) of 0.987 (95% confidence interval [CI], 0.97–1.00). Also, the cutoff for the strain ratio between adenomyosis patients with mild-to-moderate dysmenorrhea and those with severe dysmenorrhea was > 1.65; the sensitivity and spec - ificity were 90.0% and 70.0%, respectively, and the AUC was 0.849 (95% CI, 0.74–0.96) (Fig.  1c–d). In the adeno - myosis group, the NRS score, representing the degree of dysmenorrhea, correlated positively with the lesion stiffness (Fig.  1e), whereas no correlation was observed between the NRS score and the uterine or lesion volume. There was also no significant correlation among lesion Table 1 Characteristics of recruited patients in the study Adenomyosis Group Control Group P Value Case number, n 57 39 Age, years 41.30 ± 4.86 39.63 ± 6.29 0.217 BMI, kg/m2 24.80(21.67–28.19) 24.47(21.37–25.34) 0.122 Dysmenorrhea < 0.001 None/Mild 1 38 Moderate 9 1 Severe 47 0 NRS score for dysmenorrhea 7(8–9) 0 < 0.001 Amount of menses Light 3 8 < 0.001 Moderate 11 25 Heavy 43 6 Uterine size, cm3 280.22(192.05–402.39) 91.27(80.43–119.61) < 0.001 stain ratio 2.04(1.71–2.25) 1.02(0.96–1.09) < 0.001 Page 5 of 11 Ren et al. Reproductive Biology and Endocrinology (2023) 21:98 stiffness, uterine volume, and lesion volume (Fig.  1f and Additional file 1). The extent of fibrosis in adenomyosis and its correlation with TGF‑β and α‑SMA We further evaluated the correlation of tissue stiff - ness with the extent of fibrosis and the expression of TGF-β and α-SMA. The extent of fibrosis was signifi - cantly higher in adenomyotic lesions than in normal myometrium in the control group (Fig.  3a-c). In addi - tion, the extent of fibrosis showed a significant positive correlation with the tissue stiffness of the adenomyotic lesions (Fig.  3d). TGF-β staining was mostly seen in the cytoplasm of glandular epithelial cells, with some in the Fig. 1 a The uterine volume in adenomyosis group and control group; b The tissue stiffness assessed by elastography of adenomyosis lesion in adenomyosis group and normal myometrium in control group; c The receiver operating characteristic(ROC)curve analysis to evaluate the cutoff value of tissue stiffness for adenomyosis; d ROC curve analysis to evaluate the cutoff value of tissue stiffness for heavy dysmenorrhea; e Correlation between NRS score and lesion tissue stiffness in adenomyosis group; f Correlation of uterine volume and lesion stiffness in adenomyosis group. The

Results

represent the mean ± SD. **** P < 0.0001 Page 6 of 11Ren et al. Reproductive Biology and Endocrinology (2023) 21:98 stromal cells of adenomyotic lesions, while little or no staining was observed in control endometrium. Simi - larly, α-SMA staining was also primarily observed in the cytoplasm of stromal cells of adenomyotic lesions, with no staining in the control endometrium (Fig.  4). Expres- sion levels of both TGF-β and α-SMA were significantly higher in adenomyotic lesions compared with those in the eutopic endometrium of both the adenomyosis and Fig. 2 Elastosonographic image of adenomyosis and normal myometrium. a elastosonographic image of adenomyosis; b elastosonographic image of normal myometrium. The adenomyotic lesion is mainly red-coded and stiffer than the adjacent normal myometrium with indefinite boundary. Normal myometrium showed uniform color-coded in elastosonographic image. Note: “妇科病变1应变比A” meant the stain percentage of gynecological lesion 1 (adenomyotic lesion), “妇科病变2应变比” meant the stain percentage of gynecological lesion 1(the adjacent normal myometrium). “妇科病变1应变比B/A” represented the stifness of adenomyotic lesion calculated by the ratio of stain percentage between the lesion and the adjacent normal myometrium, which is mainly coded by green Fig. 3 a Representative micrographs (100 ×) of collagen fiber staining in the adenomyosis lesion of adenomyosis group; b Representative micrographs (100 ×) of collagen fiber staining in the normal myometrium of control group; c quantitative analysis of the mean area ratio of collagen fiber between the two groups; d Correlation between tissue stiffness and the mean area ratio of collagen fiber. The results represent the mean ± SD. **** P < 0.0001 Page 7 of 11 Ren et al. Reproductive Biology and Endocrinology (2023) 21:98 control groups (Fig.  5a, d). Further, a positive correla - tion trend was found between the expression level of α-SMA and the extent of fibrosis in adenomyotic lesions, although no statistical difference was observed (Fig.  5b). The expression level of TGF-β showed a significantly pos- itive correlation with the extent of fibrosis in adenomy - otic lesions (Fig.  5e). Both TGF-β and α-SMA expression levels were significantly positively correlated with tissue stiffness (Figs. 5c, f). Higher expression level of PGP9.5 in adenomyosis The expression level of PGP9.5 was also evaluated to assess the degree of dysmenorrhea. PGP9.5 staining was majorly observed in the cytoplasm of adenomyotic lesions and eutopic endometrium of the adenomyosis group compared with no staining in the control endometrium (Fig.  4). Expression levels in the adenomyotic lesions were higher than those in the eutopic endometrium of the adenomyosis group, both of which were higher than those in the control endometrium (Fig.  5g). The expres- sion level of PGP9.5 in the adenomyosis group was significantly positively correlated with the degree of dys - menorrhea, as evaluated by the NRS score (Fig.  5i). Simi- larly, a positive correlation between the expression level of PGP9.5 and tissue stiffness was also found (Fig. 5h).

Discussion

ReTIAR plays an important role in the development of adenomyosis [4–6]. According to ReTIAR, continuous tissue damage and repair lead to EMT, FMT, and finally, fibrosis, thus leading to the development and exacerba - tion of adenomyosis. Elastography, an imaging tool to evaluate tissue stiffness, can be used to measure lesion stiffness and assess the progression of adenomyosis [6, 15, 16]. Elastography has been shown to improve the sensitivity and specificity of the ultrasound diagnosis of Fig. 4 Representative micrographs (200 ×) of α-SMA, TGF-β, PGP9.5 immunostaining in the adenomyosis lesion, EM of patients with adenomyosis and EM of control subjects. EM = endometrium Fig. 5 a Expression level of α-SMA in adenomyosis lesion, EM of patients with adenomyosis and EM of control group; b Correlation between proportion of fibrotic tissue and expression level of α-SMA; c Correlation between tissue stiffness and expression level of α-SMA; d Expression level of TGF-β in adenomyosis lesion, EM of patients with adenomyosis and EM of control group; e Correlation between proportion of fibrotic tissue and expression level of TGF-β; f Correlation between tissue stiffness and expression level of TGF-β; g Expression level of PGP9.5 in adenomyosis lesion, EM of patients with adenomyosis and EM of control group; h Correlation of tissue stiffness with expression level of PGP9.5; i Correlation between NRS score and expression level of PGP9.5. The results represent the mean ± SD. **P < 0.01 ***P < 0.001 ****P < 0.0001. EM = endometrium, AM = adenomyosis (See figure on next page.) Page 8 of 11Ren et al. Reproductive Biology and Endocrinology (2023) 21:98 Fig. 5 (See legend on previous page.) Page 9 of 11 Ren et al. Reproductive Biology and Endocrinology (2023) 21:98 adenomyosis and has great value in the differential diag - nosis of adenomyosis and uterine fibroids [6, 16–18]. The stiffness of adenomyotic lesions is higher than that of uterine fibroids, both of which are higher than that of normal myometrium; these results are consistent with our findings. In addition, we found that the lesion stiff - ness was positively correlated with the degree of dys - menorrhea in patients with adenomyosis, with a higher lesion stiffness in patients with severe disease. This result indicates that the degree of dysmenorrhea in patients with adenomyosis can be objectively evaluated by tissue stiffness measured using elastography instead of subjec - tive scoring tools such as NRS score and Visual Analogue Scale score, which better evaluate the severity of dysmen- orrhea in patients with adenomyosis. Although Guo et  al. [6] found a positive correlation between lesion stiffness and uterine volume, our study found no significant correlation between either the degree of dysmenorrhea or lesion stiffness and the uter - ine or lesion volume. These results explain the fact that some patients have a large uterus but no obvious symp - toms, while others show significant symptoms such as dysmenorrhea and/or menorrhagia without a large uterus, suggesting that it may be unreasonable to evalu - ate the degree of adenomyosis solely based on the uterine or lesion volume. Currently, no criteria for evaluating the severity or staging of adenomyosis are available. Lazzeri et  al. designed an ultrasound mapping system to evaluate the severity of adenomyosis based on the type of adeno - myosis, the size of the lesion, and the involvement of the junctional zone [19, 20]. Although the classification system was relatively comprehensive and showed good interobserver agreement, it did not incorporate the elas - tography findings and may not be convenient for clinical application. Our results and those of some previous stud- ies have demonstrated the value of elastography in diag - nosing and assessing the severity of endometriosis and adenomyosis [6, 11, 21–23]. Elastography is also valuable in evaluating the efficacy of conservative treatment. Chi - ara et al. [24] studied the value of real-time elastography using a transvaginal approach and assessed the response of uterine fibroids to magnetic resonance-guided focused ultrasound surgery treatment. They found a reduction in the strain ratio (ROI lesions/ROI normal myometrium) for fibroids after treatment compared to that before treatment. PGP9.5 is widely expressed at all stages of neuronal differentiation and is an important and highly specific marker that is widely used to label nerve fibres [25, 26]. PGP9.5 also plays a role in neural regeneration and the regulation of tumour cell invasion [27, 28]. In this study, we found that PGP9.5 was highly expressed in the eutopic and ectopic endometrium of patients with adenomyosis. Thus, PGP9.5 may play an important role in the metas - tasis and invasion of the eutopic endometrium and the continued growth and infiltration of the ectopic endome- trium, leading to the progression of adenomyosis and a worsening of dysmenorrhea. TGF-β, as a typical pro-fibrogenic cytokine, plays a crucial role in organ fibrosis, including the progression of adenomyosis [29, 30]. Various exogenous and endog - enous factors cause the uterus to undergo ReTIAR [31, 32], which leads to the release of a number of bioactive factors, such as TGF-β. Activated TGF-β promotes the progression of FMT through the TGF-β1/Smad signal - ling pathway, ultimately leading to the regulation of α-SMA expression and increased deposition of extracel - lular matrix components, such as collagen. Meanwhile, increased fibrosis leads to myometrial tissue stiffening, which affects myometrial contraction and causes dys - menorrhea. TGF-β can also induce the expression of PGP9.5 [27], enhancing the ability of the eutopic endo - metrium to invade the myometrium and worsening the degree of dysmenorrhea. Akishima-Fukasawa et  al. also found that the expression of both PGP9.5 and α-SMA was increased by TGF-β stimulation and blocked by neutralization of TGF-β with anti-TGF-β antibody [33]. Additionally, the study found that PGP9.5 + fibroblasts occur primarily in dense fibrotic regions with less cancer cell invasion or in fibrotic regions in stroma with abun - dant extracellular matrix. Our results also showed that PGP9.5 expression was positively correlated with tissue stiffness. These results indicate that various exogenous and endogenous factors stimulate the uterine release of various bioactive factors, including TGF-β. On the one hand, TGF-β promotes fibrosis [32], further influencing the uterine contraction ability and leading to dysmenor - rhea. On the other hand, TGF-β can induce the expres - sion of PGP9.5, resulting in nerve fibre invasion into the myometrium and, finally dysmenorrhea. However, this study had some limitations. First, the number of participants was relatively small; therefore, validation in a larger population is required. Secondly, both Masson’s trichrome staining and IHC are semi- quantitative analysis techniques, which cannot definitely assess the level of fibrosis and expression levels of TGF-β, α-SMA, and PGP9.5.

Conclusion

Our results showed that elastography has good specificity and sensitivity to the diagnosis of adenomyosis and heavy dysmenorrhea in patients with adenomyosis. Elastog - raphy can be used to assess the stiffness of adenomyotic lesions, which is positively correlated with the severity of dysmenorrhea. Furthermore, we found that the degree Page 10 of 11Ren et al. Reproductive Biology and Endocrinology (2023) 21:98 of dysmenorrhea was not related to the uterine or lesion volume, which indicates that using the uterine or lesion volume alone to assess the severity of adenomyosis is inappropriate. Further studies should examine the value of elastography in assessing the efficacy of conservative treatments for adenomyosis, such as dienogest, gonado - tropin-releasing hormone agonists and, et al. Abbreviations α-SMA α-Smooth muscle actin ANOVA Analysis of variance AUC Area under the curve BMI Body mass index CI Confidence interval EMT Epithelial-mesenchymal transition FMT Fibroblast-to-myofibroblast transition H&E Hematoxylin and eosin HRP Horseradish peroxidase IHC Immunohistochemistry IQR Interquartile range MRI Magnetic resonance imaging NRS Numerical rating scale PGP9.5 Protein gene product 9.5 ReTIAR Repeated tissue injury and repair ROI Region of interest SD Standard deviation TGF-β Transforming growth factor-β TVUS Transvaginal ultrasound Supplementary Information The online version contains supplementary material available at https:// doi. org/ 10. 1186/ s12958- 023- 01145-y. Additional file 1.

Acknowledgements

Not applicable. Authors’ contributions G. W. and G. T. contributed to the conception of the study; H. S., Z. P ., and X. W. participated in data collection; X. J. participated in the data collection and experimentation; M. Y. contributed significantly to the analysis and manuscript preparation; Q. R. and X. D. performed the data analyses and wrote the manu- script. The authors read and approved the final manuscript. Funding This study was funded by the National Key R&D Program of China (No. 2022YFC2704000), the Major Basic Research of Natural Science Foundation of Shandong Province (Grant number: ZR2021ZD34) and the National Science Foundation of China (Grant number: 82371653). Availability of data and materials The datasets supporting the conclusions of this article are available from the authors on reasonable request. Declarations Ethics approval and consent to participate Ethical approval was obtained from the ethics committee of the Medical Integration and Practice Center, Shandong University (approval number SDUL- CLL2022-1–21). All patients included in the study signed informed consent forms. Consent for publication Not applicable. Competing interests The authors declare no competing interests. Author details 1 Department of Obstetrics and Gynecology, Shandong Provincial Hospital, Shandong University, No. 324 Jingwu Road, Jinan 250021, Shandong, China. 2 Cheeloo College of Medicine, Shandong University, Jinan, China. 3 Depart- ment of Ultrasonic Medicine, Qilu Hospital of Shandong University, No. 107 Wenhuaxi Road, Jinan 250012, China. 4 JiNan Key Laboratory of Diagnosis and Treatment of Major Gynaecological Disease, Jinan, Shandong Province, China. 5 Gynecology Laboratory, Shandong Provincial Hospital, Jinan, Shan- dong Province, China. 6 Gynecology Laboratory, Medical Science and Tech- nology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong Province, China. Received: 24 August 2023 Accepted: 24 September 2023

References

1. Van den Bosch T, Van Schoubroeck D. Ultrasound diagnosis of endo- metriosis and adenomyosis: State of the art. Best Pract Res Clin Obstet Gynaecol. 2018;51:16–24. 2. Cunningham RK, Horrow MM, Smith RJ, Springer J. Adenomyosis: a sono- graphic diagnosis. Radiographics. 2018;38:1576–89. 3. Alabiso G, Alio L, Arena S, Barbasetti di Prun A, Bergamini V, Berlanda N, et al. Adenomyosis: what the patient needs. J Minim Invasive Gynecol. 2016;23:476–88. 4. Guo SW. Cracking the enigma of adenomyosis: an update on its patho- genesis and pathophysiology. Reproduction. 2022;164:R101–21. 5. Zhu B, Chen Y, Shen X, Liu X, Guo SW. Anti-platelet therapy holds promises in treating adenomyosis: experimental evidence. Reprod Biol Endocrinol. 2016;14:66. 6. Liu X, Ding D, Ren Y, Guo SW. Transvaginal elastosonography as an imag- ing technique for diagnosing adenomyosis. Reprod Sci. 2018;25:498–514. 7. Chapron C, Vannuccini S, Santulli P , Abrão MS, Carmona F, Fraser IS, et al. Diagnosing adenomyosis: an integrated clinical and imaging approach. Hum Reprod Update. 2020;26:392–411. 8. Liu L, Li W, Leonardi M, Condous G, Da Silva CF, Mol BW, et al. Diagnostic accuracy of transvaginal ultrasound and magnetic resonance imaging for adenomyosis: systematic review and meta-analysis and review of sonographic diagnostic criteria. J Ultrasound Med. 2021;40:2289–306. 9. Ren Q, Yuan M, Wang G. Role of ultrasonography in the evaluation of disease severity and treatment efficacy in adenomyosis. Arch Gynecol Obstet. 2023. https:// doi. org/ 10. 1007/ s00404- 023- 07034-4. 10. Rasmussen CK, Van den Bosch T, Exacoustos C, Manegold-Brauer G, Ben- acerraf BR, Froyman W, et al. Intra- and inter-rater agreement describing myometrial lesions using morphologic uterus sonographic assessment: a pilot study. J Ultrasound Med. 2019;38:2673–83. 11. Brunelli AC, Brito LGO, Moro FAS, Jales RM, Yela DA, Benetti-Pinto CL. Ultrasound elastography for the diagnosis of endometriosis and adeno- myosis: a systematic review with meta-analysis. Ultrasound Med Biol. 2023;49:699–709. 12. Cosgrove D, Piscaglia F, Bamber J, Bojunga J, Correas JM, Gilja OH, et al. EFSUMB guidelines and recommendations on the clinical use of ultrasound elastography. Part 2: Clinical applications. Ultraschall Med. 2013;34:238–53. 13. Van den Bosch T, Dueholm M, Leone FP , Valentin L, Rasmussen CK, Votino A, et al. Terms, definitions and measurements to describe sonographic features of myometrium and uterine masses: a consensus opinion from the Morphological Uterus Sonographic Assessment (MUSA) group. Ultrasound Obstet Gynecol. 2015;46:284–98. 14. Van den Bosch T, de Bruijn AM, de Leeuw RA, Dueholm M, Exacoustos C, Valentin L, et al. Sonographic classification and reporting system for diagnosing adenomyosis. Ultrasound Obstet Gynecol. 2019;53:576–82. Page 11 of 11 Ren et al. Reproductive Biology and Endocrinology (2023) 21:98 • fast, convenient online submission • thorough peer review by experienced researchers in your field • rapid publication on acceptance • support for research data, including large and complex data types • gold Open Access which fosters wider collaboration and increased citations maximum visibility for your research: over 100M website views per year • At BMC, research is always in progress. Learn more biomedcentral.com/submissions Ready to submit y our researc hReady to submit y our researc h ? Choose BMC and benefit fr om: ? Choose BMC and benefit fr om: 15. Huang Q, Liu X, Critchley H, Fu Z, Guo SW. How does the extent of fibrosis in adenomyosis lesions contribute to heavy menstrual bleeding? Reprod Med Biol. 2022;21:e12442. 16. Acar S, Millar E, Mitkova M, Mitkov V. Value of ultrasound shear wave elas- tography in the diagnosis of adenomyosis. Ultrasound. 2016;24:205–13. 17. Săsăran V, Turdean S, Gliga M, Ilyes L, Grama O, Muntean M, et al. Value of strain-ratio elastography in the diagnosis and differentiation of uterine fibroids and adenomyosis. J Pers Med. 2021;11:824. 18. Săsăran V, Turdean S, Mărginean C, Gliga M, Ilyes L, Grama O, et al. Transvaginal ultrasound combined with strain-ratio elastography for the concomitant diagnosis of uterine fibroids and adenomyosis: a pilot study. J Clin Med. 2022;11:3757. 19. Lazzeri L, Morosetti G, Centini G, Monti G, Zupi E, Piccione E, et al. A sono- graphic classification of adenomyosis: interobserver reproducibility in the evaluation of type and degree of the myometrial involvement. Fertil Steril. 2018;110:1154-61.e3. 20. Exacoustos C, Morosetti G, Conway F, Camilli S, Martire FG, Lazzeri L, et al. New sonographic classification of adenomyosis: do type and degree of adenomyosis correlate to severity of symptoms? J Minim Invasive Gynecol. 2020;27:1308–15. 21. Wang S, Li B, Duan H, Wang Y, Shen X, Dong Q. Abnormal expression of connective tissue growth factor and its correlation with fibrogenesis in adenomyosis. Reprod Biomed Online. 2021;42:651–60. 22. Yang B, Gu N, Shi S, Zhang C, Chen L, Ouyang J, et al. Immunoreactivity of plasminogen activator inhibitor 1 and Its correlation with dysmenorrhea and lesional fibrosis in adenomyosis. Reprod Sci. 2021;28:2378–86. 23. Xholli A, Londero AP , Cavalli E, Scovazzi U, Ferraro MF, Vacca I, et al. The benefit of transvaginal elastography in detecting deep endome- triosis: a feasibility study. Ultraschall Med. 2023. https:// doi. org/ 10. 1055/a- 2028- 8214. 24. Marigliano C, Panzironi G, Molisso L, Pizzuto A, Ciolina F, Napoli A, et al. First experience of real-time elastography with transvaginal approach in assessing response to MRgFUS treatment of uterine fibroids. Radiol Med. 2016;121:926–34. 25. Berkley KJ, Dmitrieva N, Curtis KS, Papka RE. Innervation of ectopic endometrium in a rat model of endometriosis. Proc Natl Acad Sci U S A. 2004;101:11094–8. 26. Tokushige N, Markham R, Russell P , Fraser IS. High density of small nerve fibres in the functional layer of the endometrium in women with endo- metriosis. Hum Reprod. 2006;21:782–7. 27. Wen W, Liu G, Jin K, Hu X. TGF-β1 induces PGP9.5 expression in CAFs to promote the growth of colorectal cancer cells. Oncol Rep. 2017;37:115–22. 28. Anderson JR, Fear MW, Phillips JK, Dawson LF, Wallace H, Wood FM, et al. A preliminary investigation of the reinnervation and return of sensory function in burn patients treated with INTEGRA®. Burns. 2011;37:1101–8. 29. Henderson NC, Rieder F, Wynn TA. Fibrosis: from mechanisms to medi- cines. Nature. 2020;587(7835):555–66. 30. Shen M, Liu X, Zhang H, Guo SW. Transforming growth factor β1 signaling coincides with epithelial-mesenchymal transition and fibroblast-to- myofibroblast transdifferentiation in the development of adenomyosis in mice. Hum Reprod. 2016;31:355–69. 31. Kobayashi H, Kishi Y, Matsubara S. Mechanisms Underlying Adenomyosis- Related Fibrogenesis. Gynecol Obstet Invest. 2020;85:1–12. 32. Zhang Q, Duan J, Liu X, Guo SW. Platelets drive smooth muscle metapla- sia and fibrogenesis in endometriosis through epithelial-mesenchymal transition and fibroblast-to-myofibroblast transdifferentiation. Mol Cell Endocrinol. 2016;428:1–16. 33. Akishima-Fukasawa Y, Ino Y, Nakanishi Y, Miura A, Moriya Y, Kondo T, et al. Significance of PGP9.5 expression in cancer-associated fibroblasts for prognosis of colorectal carcinoma. Am J Clin Pathol. 2010;134:71–9. Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in pub- lished maps and institutional affiliations.

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-pdf

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

mesh:D004412adenomyosisdysmenorrhea

MeSH descriptors

Adenomyosis Adenomyosis Adenomyosis Adenomyosis Adenomyosis Adenomyosis Elasticity Imaging Techniques Elasticity Imaging Techniques Elasticity Imaging Techniques Dysmenorrhea Dysmenorrhea Dysmenorrhea Dysmenorrhea Dysmenorrhea Female Female Female Fibrosis Fibrosis Fibrosis

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 (34)

Cited by (2)

Source provenance

europepmc
last seen: 2026-06-04T01:30:01.192114+00:00
openalex
last seen: 2026-06-04T00:00:01.174412+00:00
pubmed
last seen: 2026-05-16T00:33:09.872309+00:00
License: CC0 · commercial use OK