Usefulness of transabdominal real-time sonoelastography in the evaluation of ovarian lesions: preliminary results

Can ultrasound elastography be useful in the diagnosis of poor ovarian response?

OBJECTIVES

This study aims to compare the elastographic properties of the ovaries of patients with poor ovarian response (POR) with healthy controls by using real-time ultrasound tissue elastography and to investigate the predictive value of ovarian strain ratio (OSR) in the diagnosis of POR.

MATERIALS AND METHODS

A cross-sectional study was conducted among infertility patients. OSR measurements of 46 women diagnosed with POR and 41 healthy controls with male infertility were performed by real-time ultrasound tissue elastography. Ovarian volume, OSR, antral follicle count (AFC), age, body mass index (BMI), anti-mullerian hormone (AMH), follicle stimulating hormone (FSH), and estradiol (E2) values, were compared between the groups. A receiver operating characteristic curve was used to compare the sensitivity and specificity of OSR, AFC, AMH, FSH, and E2 for POR diagnosis.

RESULTS

Patients with POR were significantly older, had a lower duration of infertility, lower AMH, higher FSH, higher E2, lower AFC and ovarian volume (p < 0.01, p = 0.02, p < 0.01, p < 0.01, p < 0.01, p < 0.01, p < 0.01, respectively). The mean OSR of both ovaries was similar between the groups. For the diagnosis of POR, the sensitivity and specificity for AMH were 97.5% and 100%, for AFC were 86.7% and 97.6%; for FSH were 66.7% and 80.5%, for E2 were 53.3% and 90.2%, respectively.

CONCLUSIONS

The significant independent predictors of the POR were AMH, AFC, and FSH, with no additional significant contribution from OSR. However, considering the relationship between POR and ovarian fibrosis, it is recommended to investigate this issue in more comprehensive studies.

Ultrasound Elastography for the Diagnosis of Endometriosis and Adenomyosis: A Systematic Review with Meta-analysis

Elastography is capable of measuring tissue mechanical properties and elasticity. It is used to help diagnose various diseases, although its use in pelvic endometriosis remains to be established. A systematic review and meta-analysis were conducted to assess transvaginal ultrasound elastography for the diagnosis of different manifestations of endometriosis and adenomyosis. PRISMA guidelines were used for a Medline, PubMed, Embase, BVS/Bireme, Scopus, Cochrane Library and Escudos database search. Studies indexed until March 2021 that evaluated elastography compared with histopathological results (gold standard), ultrasound or magnetic resonance imaging for diagnosis of pelvic endometriosis and adenomyosis were eligible. The Rayyan platform was used to select studies. Sensitivity (S), specificity (Ps), positive and negative predictive values and receiver operating characteristic curves were calculated for elastographic diagnosis of endometriosis. A meta-analysis using Review Manager 5 and Open Meta Analyst was performed. Bias risk in the studies was analyzed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 tool. This systematic review was prospectively registered in the PROSPERO database: CRD42021244555. Among the 163 identified citations, 10 studies were eligible for review (5 for diagnosis of adenomyosis, 2 for endometrioma, 3 for deep intestinal endometriosis and rectovaginal septum [deep pelvic endometriosis], N = 744 women). In deep pelvic endometriosis, lesions diagnosed by elastography were found to correlate with histopathology results. Increased "stiffness" (elastography) was associated with a higher fibrotic component, with S = 78%-100% and Ps = 100%, according to the authors. On elastography, endometriomas were stiffer than hemorrhagic cysts (S = 82%, Ps = 79%) and malignant tumors (S = 86%, Ps = 100%). For these lesions, a meta-analysis could not be performed because the small number of studies and insufficient data. In adenomyosis, meta-analysis and receiver operating characteristic curve analysis revealed that elastography had good sensitivity and specificity. Studies indicated a low bias risk by QUADAS-2. Elastography had high sensitivity and specificity for deep pelvic endometriosis diagnosis, and its findings correlated with histopathology results. For adenomyosis, the meta-analysis confirmed the sensitivity and specificity results of the studies. Given these results, elastography may be a promising imaging test, contributing to non-invasive diagnosis of endometriosis and adenomyosis.

RNA-seq reveals the diverse effects of substrate stiffness on epidermal ovarian cancer cells

Background: Increasing evidence has confirmed that ovarian cancer is a mechanically responsive tumor both in vivo and in vitro. However, an understanding of the complete molecular mechanism involved in the response to substrate stiffness is lacking, as the associated transcriptome-wide effects have not been mapped. This limited understanding has restricted the identification of potential mechanically responsive targets in ovarian cancer.

Results: To address these limitations, we used a polyacrylamide hydrogel system with a tunable Young’s modulus that broadly ranged from soft (1 kPa) to normal (6 kPa) and stiff (60 kPa) and investigated the effect of substrate rigidity on the morphology, spreading area, and cytoskeleton of SKOV-3 epidermal ovarian cancer (EOC) cells. RNA-seq analysis of these cells was then performed at appropriate timepoints to map the transcriptome-wide changes associated with stiffness sensing. We identified a large number of stiffness-sensing genes as well as many genes that were enriched in cancer-related pathways. Informed by these diverse expression results and based on bioinformatics analysis, we evaluated the hypothesis that PLEC and TNS2, which are located in focal adhesions and regulated by lnc-ZNF136, may play key roles in the EOC response to substrate stiffness.

Conclusion: Overall, the results of the present study reveal previously unknown features of the EOC stiffness response and provide new insights into EOC metastasis in the clinic.

Ultrasound Shear Wave Velocity Varies Across Anatomical Region in Ex Vivo Bovine Ovaries

The physical properties of the ovarian extracellular matrix (ECM) regulate the function of ovarian cells, specifically the ability of the ovary to maintain a quiescent primordial follicle pool while allowing a subset of follicles to grow and mature in the estrous cycle. Design of a long-term, cycling artificial ovary has been hindered by the limited information regarding the mechanical properties of the ovary. In particular, differences in the mechanical properties of the two ovarian compartments, the cortex and medulla, have never been quantified. Shear wave (SW) ultrasound elastography is an imaging modality that enables assessment of material properties, such as the mechanical properties, based on the velocity of SWs, and visualization of internal anatomy, when coupled with B-mode ultrasound. We used SW ultrasound elastography to assess whole, ex vivo bovine ovaries. We demonstrated, for the first time, a difference in mechanical properties, as inferred from SW velocity, between the cortex and medulla, as measured along the length (cortex: 2.57 ± 0.53 m/s, medulla: 2.87 ± 0.77 m/s, p < 0.0001) and width (cortex: 2.99 ± 0.81 m/s, medulla: 3.24 ± 0.97 m/s, p < 0.05) and that the spatial distribution and magnitude of SW velocity vary between these two anatomical planes. This work contributes to a larger body of literature assessing the mechanical properties of the ovary and related cells and specialized ECMs and will enable the rational design of biomimetic tissue engineered models and durable bioprostheses. Impact Statement Shear wave (SW) ultrasound elastography can be used to simultaneously assess the material properties and tissue structures when accompanied with B-mode ultrasound. We report a quantitative difference in mechanical properties, as inferred from SW velocity, between the cortex and medulla, with SW velocity being 11.4% and 8.4% higher in the medulla than the cortex when measured along the length and width, respectively. This investigation into the spatial and temporal variation in SW velocity in bovine ovaries will encourage and improve design of more biomimetic scaffolds for ovarian tissue engineering.

An AFM-Based Nanomechanical Study of Ovarian Tissues with Pathological Conditions

BACKGROUND

Different diseases affect both mechanical and chemical features of the involved tissue, enhancing the symptoms.

METHODS

In this study, using atomic force microscopy, we mechanically characterized human ovarian tissues with four distinct pathological conditions: mucinous, serous, and mature teratoma tumors, and non-tumorous endometriosis. Mechanical elasticity profiles were quantified and the resultant data were categorized using K-means clustering method, as well as fuzzy C-means, to evaluate elastic moduli of cellular and non-cellular parts of diseased tissues and compare them among four disease conditions. Samples were stained by hematoxylin-eosin staining to further study the content of different locations of tissues.

RESULTS

Pathological state vastly influenced the mechanical properties of the ovarian tissues. Significant alterations among elastic moduli of both cellular and non-cellular parts were observed. Mature teratoma tumors commonly composed of multiple cell types and heterogeneous ECM structure showed the widest range of elasticity profile and the stiffest average elastic modulus of 14 kPa. Samples of serous tumors were the softest tissues with elastic modulus of only 400 Pa for the cellular part and 5 kPa for the ECM. Tissues of other two diseases were closer in mechanical properties as mucinous tumors were insignificantly stiffer than endometriosis in cellular part, 1300 Pa compared to 1000 Pa, with the ECM average elastic modulus of 8 kPa for both.

CONCLUSION

The higher incidence of carcinoma out of teratoma and serous tumors may be related to the intense alteration of mechanical features of the cellular and the ECM, serving as a potential risk factor which necessitates further investigation.

Diagnosing Deep Endometriosis Using Transvaginal Elastosonography

Transvaginal ultrasound (TVUS) and MRI are currently two mainstream imaging techniques used to diagnose deep endometriosis (DE) with comparable accuracy, but there is still ample room for improvement. As endometriotic lesions progress to fibrosis concomitant with the increase in tissue stiffness, transvaginal elastosonography (TVESG) is well-suited for diagnosing DE. To test the hypothesis that lesional stiffness as measured by TVESG correlates with the extent of lesional fibrosis, the markers of progression, hormonal receptor expression, and vascularity, we recruited 30 patients suspected to have DE who went through pelvic examination, TVUS and/or MRI, and TVESG and were ultimately diagnosed by histology. Their lesional tissue samples were subjected to immunohistochemistry analysis of markers for epithelial-mesenchymal transition (EMT), fibroblast-to-myofibroblast transdifferentiation (FMT), estrogen and progesterone receptors (ERβ and PR), microvessel density (MVD), and vascularity, as well as quantification of lesional fibrosis. We found that pelvic examination, TVUS, and MRI detected 83.3%, 66.7%, and 83.3% of all DE cases, respectively, while TVESG detected them all. The lesions missed by pelvic exam, TVUS and MRI were significantly smaller than those detected but nonetheless had higher lesional stiffness. Lesional stiffness correlated closely and positively with the extent of lesional fibrosis, negatively with the markers of EMT, MVD, vascularity, and PR expression, but positively with the marker for FMT and ERβ. Thus, through the additional use of information on differential stiffness between DE lesions and their surrounding tissues, TVESG improves diagnostic accuracy, provides a ballpark estimate on the developmental stage of the lesions, and may help clinicians choose the best treatment modality.