Application of Computer-Assisted Endoscopic Ultrasonography Based on Texture Features in Differentiating Gastrointestinal Stromal Tumors from Benign Gastric Mesenchymal Tumors.

BACKGROUND/AIMS:  Gastrointestinal stromal tumors are common gastric mesenchymal tumors that are potentially malignant. However, endoscopic ultrasonography is poor in diagnosing gastrointestinal stromal tumors. The study investigated the efficacy of texture features extracted from endoscopic ultrasonography images to differentiate gastrointestinal stromal tumors from gastric mesenchymal tumors. MATERIALS AND METHODS:  The endoscopic ultrasonography examinations of 120 patients with confirmed gastric gastrointestinal stromal tumors, leiomyoma, or schwannoma were evaluated. Histology was considered the gold standard. Three feature combinations were extracted from endoscopic ultrasonography images of each lesion: 48 gray-level co-occurrence matrix-based features, 48 gray-level co-occurrence matrix-based features plus 3 global gray features, and 15 gray-gradient co-occurrence matrix-based features. Support vector machine classifiers were constructed by using feature combinations to diagnose gastric gastrointestinal stromal tumors. The area under the receiver operating characteristic curve, accuracy, sensitivity, and specificity were used to evaluate the diagnostic performance. The support vector machine model's diagnostic performance was compared with the endoscopists. RESULTS:  The 3 feature combinations had better performance in differentiating gastrointestinal stromal tumors: gray-gradient cooccurrence matrix-based features yielded an area under the receiver operating characteristic curve of 0.90, which was significantly greater than an area under the receiver operating characteristic curve of 0.83 in gray-level co-occurrence matrix-based features and an area under the receiver operating characteristic curve of 0.84 in the texture features plus 3 global features. The support vector machine model (81.67% accuracy, 81.36% sensitivity, and 81.97% specificity) was also better than endoscopists (an average of 69.31% accuracy, 65.54% sensitivity, and 72.95% specificity) Conclusion: Texture features in computer-assisted endoscopic ultrasonography diagnosis are useful to differentiate gastrointestinal stromal tumors from benign gastric mesenchymal tumors and compare favorably with endoscopists. Support vector machine model using gray-gradient co-occurrence matrix-based texture features revealed the best diagnostic performance in diagnosing gastric gastrointestinal stromal tumors.

POTENTIAL DIAGNOSTIC BIOMARKERS FOR HUMAN MESENCHYMAL TUMORS, ESPECIALLY LMP2/Β1I AND CYCLIN E1/MIB1 DIFFERENTIAL EXPRESSION: PRUM-IBIO STUDY.

Most mesenchymal tumors found in the uterine corpus are benign tumors; however, uterine leiomyosarcoma is a malignant tumor with unknown risk factors that repeatedly recurs and metastasizes. In some cases, the histopathologic findings of uterine leiomyoma and uterine leiomyosarcoma are similar and surgical pathological diagnosis using excised tissue samples is difficult. It is necessary to analyze the risk factors for human uterine leiomyosarcoma and establish diagnostic biomarkers and treatments. Female mice deficient in the proteasome subunit low molecular mass peptide 2 (LMP2)/ß1i develop uterine leiomyosarcoma spontaneously. MATERIAL AND METHODS: Out of 334 patients with suspected uterine mesenchymal tumors, patients diagnosed with smooth muscle tumors of the uterus were selected from the pathological file. To investigate the expression status of biomarker candidate factors, immunohistochemical staining was performed with antibodies of biomarker candidate factors on thin-cut slides of human uterine leiomyosarcoma, uterine leiomyoma, and other uterine mesenchymal tumors. RESULTS AND DISCUSSION: In human uterine leiomyosarcoma, there was a loss of LMP2/ß1i expression and enhanced cyclin E1 and Ki-67/MIB1 expression. In human uterine leiomyomas and normal uterine smooth muscle layers, enhanced LMP2/ß1i expression and the disappearance of the expression of E1 and Ki-67/MIB1 were noted. The pattern of expression of each factor in other uterine mesenchymal tumors was different from that of uterine leiomyosarcoma. CONCLUSIONS: LMP2/ß1i, cyclin E1, and Ki-67/MIB1 may be candidate factors for biomarkers of human uterine leiomyosarcoma. Further large-cohort clinical trials should be conducted to establish treatments and diagnostics for uterine mesenchymal tumors.

[Diagnostic yield and utility of boring biopsy for subepithelial lesions of the stomach and esophagus].

Herein, we aimed to examine the diagnostic yield and utility of boring biopsy for subepithelial lesions (SEL) of the stomach and esophagus. A total of 52 patients with SELs of the stomach or esophagus underwent boring biopsy. The diagnostic yield of boring biopsy for gastric and esophageal SELs was 50% (21/42) and 80% (8/10), and for SELs with a diameter of less than 10mm, the diagnostic yield was 67% (6/9) and 83% (5/6), respectively. Forty-three percent (9/21) of the gastric SELs were diagnosed with gastrointestinal stromal tumor (GIST), while all esophageal SELs (8/8) were leiomyomas. Ten percent (4/42) of boring biopsies for the stomach were accompanied by complications:two cases of perforation and two of bleeding.

A novel scoring system based on magnetic resonance imaging for the prediction of the difficulty of ultrasound-guided high-intensity focused ultrasound ablation for uterine fibroids.

OBJECTIVE: To develop a novel scoring system based on magnetic resonance imaging (MRI) for predicting the difficulty of ultrasound-guided high-intensity focused ultrasound (USgHIFU) ablation for uterine fibroids. MATERIALS AND METHODS: A total of 637 patients with uterine fibroids were enrolled. Sonication time, non-perfused volume ratio (NPVR), and ultrasound energy delivered for ablating 1 mm3 of fibroid tissue volume (E/V) were each classified as three levels and assigned scores from 0 to 2, respectively. Treatment difficulty level was then assessed by adding up the scores of sonication time, NPVR and E/V for each patient. The patients with score lower than 3 were categorized into low difficulty group, with score equal to or greater than 3 were categorized into high difficulty group. The potential predictors for treatment difficulty were compared between the two groups. Multifactorial logistic regression analysis model was created by analyzing the variables. The difficulty score system was developed using the beta coefficients of the logistic model. RESULTS: Signal intensity on T2WI, fibroid location index, largest diameter of fibroids, abdominal wall thickness, homogeneity of the signal of fibroids, and uterine position were independent influencing factors for the difficulty of USgHIFU for uterine fibroids. A prediction equation was obtained: difficulty score = 17 × uterine position (anteverted =0, retroverted =1)+71 × signal intensity (hypointense = 0, isointense/hyperintense = 1) +8 × enhancement (homogenous = 0, heterogeneous = 1)+25×(largest diameter of fibroids-20) +35 × (fibroid location index -0.2) +1×(abdominal wall thickness -5). CONCLUSIONS: This scoring system established based on MRI findings can be used to reliably predict the difficulty level of USgHIFU treatment of uterine fibroids.

Use of morcellation in laparoscopic myomectomy. Medical malpractice and medicolegal considerations.

Background: In recent years, due to the increase in medical mal-practice complaints, the Sicilian Regional Health System has adopted procedures for the direct management of claims by each health facility with the aim of reducing the costs of insurance premiums and related taxes. Mandatory sentinel event monitoring is a crucial part of this strategy to improve patient safety and quality of care. The reported case relates to a laparoscopic myomectomy surgery performed by means of morcellation, a controversial technique. After the FDA's intervention in 2014, it is believed that morcellation may worsen the staging of the disease by spreading malignancies such as leiomyosarcoma into the abdomen. Case report: A 28-year-old woman, underwent laparoscopic surgery for uterine fibroids and an ovarian cyst removal in August 2018. Post-surgery, she was diagnosed with Leiomyoma. She returned to the hospital due to metrorrhagia and was discharged after a week. Persistent symptoms led to her readmission and subsequent exploratory laparoscopic surgery at another hospital. This resulted in a total hysterectomy and the discovery of uterine leiomyosarcoma, with FIGO STAGE IIIB staging. Despite chemotherapy, she passed away six months later. Discussion and Conclusions: This case highlights medical-legal issues. Informed consent for morcellation and its risks was not obtained. The morcellation technique was used, increasing cancer spread risk. The histopathological process was inadequate, with three biopsies leading to misdiagnosis. This could be medical malpractice, making providers legally responsible for the patient's deteriorating condition and the anticipation of possible death.

Magnetic resonance imaging evaluation of gynecological mass lesions: A comprehensive analysis with histopathological correlation.

Evaluating gynecological mass lesions and reviewing their morphological characteristics based on their imaging appearance on magnetic resonance imaging (MRI), and correlating the MRI findings with histopathological findings, was the central theme of our study. This observational cross-sectional study was conducted on 60 female patients with clinically suspected gynecological mass lesions upon physical examination and/or ultrasonography, referred for MRI at a tertiary care hospital over a 1-year period between June 2022 and July 2023. A broad spectrum of differential diagnoses of gynecological masses was observed. In our study, the ratio of benign versus malignant disease was 1.6:1, with 37 benign and 23 malignant masses identified. The most common benign masses were uterine fibroids (n = 14; 23.3%), followed by endometriosis (n = 8; 13.3%), and ovarian dermoid cysts (n = 4; 6.6%). Among the malignant lesions, cervical cancer was the most common (n = 11; 18.3%), followed by endometrial carcinoma (n = 7; 11.6%), ovarian carcinoma (n = 3; 5%), and vaginal carcinoma (n = 2; 3%). Benign lesions mostly appeared hypo- to isointense on T1-weighted imaging and iso- to hyperintense on T2-weighted imaging, while malignant lesions appeared isointense on T1-weighted and hyperintense on T2-weighted imaging. Hemorrhage and fat were well appreciated on MRI and aided in diagnosis. T2 shading was present in 7 out of 8 endometriotic cysts, demonstrating a specificity of 100% and a sensitivity of 83%. For determining parametrial invasion in cervical carcinoma, MRI showed an accuracy of 91%, specificity of 100%, and positive predictive value, negative predictive value, and sensitivity of 100%, 75%, and 88%, respectively. In cases of endometrial carcinoma, MRI demonstrated a sensitivity and specificity of 87% and 91%, respectively, with a positive predictive value of 87% and a negative predictive value of 91% for identifying myometrial invasion greater than 50%. Compared to other modalities, MRI provided substantial information regarding uterine and adnexal masses and surrounding structures, facilitating accurate staging of lesions.

Outcomes of Mechanical Resection of Endometrial Polyps and Submucosal Fibroids Through TruClear™ Hysteroscopy.

OBJECTIVE: To assess the efficacy of mechanical resection through TruClear™ hysteroscopy in patients with endometrial polyps and submucosal fibroids. STUDY DESIGN: Descriptive study. Place and Duration of the Study: Department of Obstetrics and Gynaecology, Shifa International Hospital, Islamabad, Pakistan, from June 2018 to 2022. METHODOLOGY: Patients diagnosed with endometrial polyps and submucosal fibroids confirmed by abdominal or transvaginal ultrasonography were included. Patients having a history of congestive cardiac failure, chronic kidney disease, and bleeding diathesis were excluded from the study. Data about the complete removal of pathology (endometrial polyps and submucosal fibroids), mean operating time, and postoperative complications such as bleeding and perforation were extracted. The follow-up was set up to 6 months after the procedure. RESULTS: The average age of the 45 patients was 35.62 ± 7.46 years. Heavy menstrual bleeding was the most prevalent symptom, seen in 73.3% of cases, followed by irregular vaginal bleeding (IVB) in 11.1% of cases. The most frequent disease identified by sonography was a polyp in 21 (47%) instances, followed by submucosal fibroids in 12 (27%) cases, mixed pathology in 10 (22%), and malignancy in 2 (4%) cases. The overall average operative time was 36.46 ± 24.94 minutes. A hundred percent removal of lesions was observed in this study. Persistent symptoms were observed in 13% of patients after the surgery so they were treated with other interventions. The most common intervention was an intrauterine hormonal device. Intraoperative bleeding was observed in only one patient and was managed by intraoperative intrauterine balloon insertion. The recurrence rate was 8.9% (4/45). CONCLUSION: TruClear™ hysteroscopy showed a major advantage in the successful and complete removal of the pathology, low operation time, and complications. KEY WORDS: Fibroids, Hysteroscopy, Polyps, Endometrial resection, Menstrual bleeding.

Pseudo-Meigs syndrome caused by a rapidly enlarging hydropic leiomyoma with elevated CA125 levels mimicking ovarian malignancy: a case report and literature review.

Pseudo-Meigs syndrome is a rare syndrome characterized by hydrothorax and ascites associated with pelvic masses, and patients occasionally present with elevated serum cancer antigen-125 (CA125) levels. Hydropic leiomyoma (HLM) is an uncommon subtype of uterine leiomyoma characterized by hydropic degeneration and secondary cystic changes. Rapidly enlarging HLMs accompanied by hydrothorax, ascites, and elevated CA125 levels may be misdiagnosed as malignant tumors. Here, we report a case of HLM in a 45-year-old Chinese woman who presented with ascites and hydrothorax. Preoperative abdominopelvic CT revealed a giant solid mass in the fundus uteri measuring 20 × 15 × 12 cm. Her serum CA125 level was elevated to 247.7 U/ml, while her hydrothorax CA125 level was 304.60 U/ml. The patient was initially diagnosed with uterine malignancy and underwent total abdominal hysterectomy and adhesiolysis. Pathological examination confirmed the presence of a uterine hydropic leiomyoma with cystic changes. After tumor removal, the ascites and hydrothorax subsided quickly, with no evidence of recurrence. The patient's serum CA125 level decreased to 116.90 U/mL on Day 7 and 5.6 U/mL on Day 40 postsurgery. Follow-up data were obtained at 6 months, 1 year, and 2 years after surgery, and no recurrence of ascites or hydrothorax was observed. This case highlights the importance of accurate diagnosis and appropriate management of HLM to achieve successful outcomes.

Systematic review and meta-analysis of current evidence in uterine artery embolization vs myomectomy for symptomatic uterine fibroids.

This review compares the efficacy of Uterine Artery Embolization (UAE) and Myomectomy (MYO) in managing symptomatic Uterine Fibroids (UFs) in women who do not want hysterectomy. A meta-analysis was performed on all available studies that evaluated the relative benefits and harms of MYO and UEA for the management of patients suffering from UFs. Outcomes evaluated reintervention, UFs scores for quality of life (QOL) and symptom severity, and other complications. To determine mean differences (MDs) or odds ratios (ORs) with 95% confidence intervals (CIs), a random or fixed-effects model was utilized. A meta-analysis of 13 studies (9 observational and 4 randomized controlled trials) was conducted. The results indicated that UAE had a higher reintervention rate (OR 1.84; 95% CI 1.62-2.10; P < 0.01; I2 = 39%), hysterectomy rate (OR 4.04; 95% CI 3.45-4.72; P < 0.01; I2 = 59%), and symptom-severity score (OR - 4.02; 95% CI 0.82, 7.22; P = 0.01; I2 = 0%) compared to MYO at a four-year follow-up. However, UAE was associated with a lower rate of early complications (OR 0.44; 95% CI 0.20-0.95; P = 0.04; I2 = 25%), and readmission rate (OR 1.16; 95% CI 1.01-1.33; P = 0.04; I2 = 0%) compared to MYO. Furthermore, both procedures had comparable improvement in pregnancy rates and abnormal uterine bleeding. In conclusion, UAE and MYO are effective in treating symptomatic UFs but they have different outcomes. The decision on which procedure to choose should be made based on individual preferences and the physician's expertise.

Dispensing patterns of antidepressant and antianxiety medications for psychiatric disorders after benign hysterectomy in reproductive-age women: Results from group-based trajectory modeling.

BACKGROUND: Women with gynecologic disorders requiring a hysterectomy often have co-existing psychiatric diagnoses. A change in the dispensing pattern of antidepressant (AD) and antianxiety (AA) medications around the time of hysterectomy may be due to improvement in gynecologic symptoms, such as pelvic pain and abnormal bleeding, or the emotional impact of the hysterectomy. Unfortunately, these dispensing patterns before and after hysterectomy are currently undescribed. OBJECTIVES: To model the dispensing patterns of AD and AA medications over time among women with psychiatric disorders before and after benign hysterectomy for endometriosis and uterine fibroids; and to characterize clusters of patients with various dispensing behaviors based on these patterns. DESIGN: Retrospective cohort study. METHODS: This is a study of women who underwent a benign hysterectomy using data from the Merative MarkertScan® Research Databases (Ann Arbor, MI, USA). Inclusion criteria were reproductive-aged women (18-50 years), diagnosis of at least one mood or anxiety disorder, and at least one dispensing of AD or AA medications. We measured monthly adherence and persistence of AD/AA medication use over 12 months after hysterectomy. Group-based-trajectory modeling (GBTM) was used to identify trajectory groups of monthly AD/AA medication dispensing over the study period. Multinomial logistic regression was used to identify factors independently associated with individual dispensing trajectory patterns. RESULTS: For a total of 11,607 patients, 6 dispensing trajectory groups were identified during the study period: continuously high (27.0%), continuously moderate (21.9%), continuously low (17.9%), low-to-high (10.0%), moderate-to-low (9.8%), and low-to-moderate (13.4%). Compared with the continuously high group, younger age, no history of a mood disorder, and uterine fibroids were clinical predictors of low dispensing. The discontinuation rate at 3 months after hysterectomy was higher at 88.6% in the continuously low group and at 66.5% in the continuously low-to-moderate group. CONCLUSIONS: This study demonstrates that GBTM identified six distinct trajectories of AD/AA medication dispensing in the perioperative period. Trajectory models could be used to identify specific dispensing patterns for targeting interventions.

Dispensing patterns of antidepressant and antianxiety medications for psychiatric disorders after benign hysterectomy in reproductive-aged women: Results from the group-based trajectory modelingWomen with gynecologic disorders often have coexisting psychiatric diagnoses. A change in the dispensing pattern of antidepressant and antianxiety medications may be due to improvement in gynecologic symptoms or the emotional impact of the hysterectomy. However, static measures, such as the proportion of days covered or medication possession ratio, may not adequately predict meaningful dispensing patterns. Using the group-based trajectory modeling, 6 distinct patterns of medication dispensing over the perioperative periods of women with benign hysterectomy are identified and therefore used to assess how certain clinical characteristics influence these dispensing patterns. This study concludes that trajectory modeling may be a more appropriate approach to investigating dispensing patterns among women with preexisting psychiatric conditions.

Pulmonary benign metastasizing leiomyoma presenting as acute hypoxemic respiratory failure: a case report.

Pulmonary benign metastasizing leiomyoma is an uncommon condition, predominantly affecting women of childbearing age with a history of uterine smooth muscle tumors and uterine leiomyoma surgery for uterine leiomyoma. The progression of PBML is often unpredictable and depends on the extent of lung involvement. Generally, most patients remain asymptomatic, but a minority may experience coughing, wheezing, or shortness of breath, which are frequently misdiagnosed as pneumonia. consequently, this presents significant challenges in both treatment and nursing care before diagnosis. This paper reports the case of a 35-year-old woman primarily diagnosed with acute hypoxic respiratory failure who was transferred from the emergency room to the intensive care unit. The initial computed tomography scan of the patient's lungs indicated diffuse interstitial pneumonia, but the sequencing of the alveolar lavage fluid pathogen macro did not detect any bacteria, fungi, or viruses. Moreover, the patient remained in a persistent hypoxic state before the definitive diagnosis. Therefore, our focus was on maintaining the airway patency of the patient, using prone ventilation, inhaling nitric oxide, monitoring electrical impedance tomography, and preventing ventilator-associated pneumonia to improve oxygenation, while awaiting immunohistochemical staining of the patient's biopsied lung tissue. This would help us clarify the diagnosis and treat it based on etiology. After meticulous treatment and nursing care, the patient was weaned off the ventilator after 26 days and transferred to the respiratory ward after 40 days. This case study may serve as a reference for clinical practice and assist patients suffering from PBML.

Deep learning based uterine fibroid detection in ultrasound images.

Uterine fibroids are common benign tumors originating from the uterus's smooth muscle layer, often leading to symptoms such as pelvic pain, and reproductive issues. Early detection is crucial to prevent complications such as infertility or the need for invasive treatments like hysterectomy. One of the main challenges in diagnosing uterine fibroids is the lack of specific symptoms, which can mimic other gynecological conditions. This often leads to under-diagnosis or misdiagnosis, delaying appropriate management. In this research, an attention based fine-tuned EfficientNetB0 model is proposed for the classification of uterine fibroids from ultrasound images. Attention mechanisms, permit the model to focus on particular parts of an image and move forward the model's execution by empowering it to specifically go to imperative highlights whereas overlooking irrelevant ones. The proposed approach has used a total of 1990 images divided into two classes: Non-uterine fibroid and uterine fibroid. The data augmentation methods have been connected to improve generalization and strength by exposing it to a wider range of varieties within the training data. The proposed model has obtained the value of accuracy as 0.99. Future research should focus on improving the accuracy and efficiency of diagnostic techniques, as well as evaluating their effectiveness in diverse populations with higher sensitivity and specificity for the detection of uterine fibroids, as well as biomarkers to aid in diagnosis.

Comparing the effect of FUAS and myomectomy on the elasticity of myometrium around targeted uterine fibroid.

BACKGROUND: Focused ultrasound ablation surgery (FUAS) has been widely employed to treat patients with uterine fibroid (UF). This study aimed to estimate myometrial stiffness changes in patients who received FUAS for UFs or myomectomy (ME) and compare the recovery of surrounding myometrium between FUAS and ME groups. Our results may provide more evidence for guiding the proper conception timing in patients with UF. METHODS: This study enrolled 173 patients from May 2022 to August 2023. Shear wave elastography (SWE) was used to dynamically monitor myometrial elasticity changes in patients before and after surgery. Moreover, our study monitored and analyzed the stiffness changes in the targeted fibroid after FUAS, as well as in the myometrium around after FUAS or ME. RESULTS: The stiffness of the myometrium around the resected fibroid was significantly higher than at the preoperative level until 6 months. Conversely, the stiffness of the surrounding myometrium was only temporarily increased 1 day after FUAS. The comparison between FUAS and ME groups regarding the stiffness of the surrounding myometrium showed that nonsignificant differences were detected between the two groups before the treatment. The stiffness of the surrounding myometrium in the ME group was statistically significantly higher than that of the FUAS group 1 day as well as 1, 3, and 6 months after the treatment, respectively. CONCLUSION: The FUAS had less impact on the surrounding myometrium than the ME, which may be more conducive to the recovery of myometrial elasticity in patients with UF.

The importance of the 'uterine factor' in recurrent pregnancy loss: a retrospective cohort study on women screened through 3D transvaginal ultrasound.

STUDY QUESTION: What is the prevalence of congenital and acquired anomalies of the uterus in women with recurrent pregnancy loss (RPL) of unknown etiology examined using 3D transvaginal ultrasound (US)? SUMMARY ANSWER: Depending on the adopted diagnostic criteria, the prevalence of partial septate uterus varies between 7% and 14% and a T-shaped uterus is 3% or 4%, while adenomyosis is 23%, at least one of type 0, type 1 or type 2 myoma is 4%, and at least one endometrial polyp is 4%. WHAT IS KNOWN ALREADY: ESHRE and the Royal College of Obstetricians and Gynaecologists guidelines on RPL recommend the adoption of the 3D transvaginal US to evaluate the 'uterine factor'. Nevertheless, there are no published studies reporting the prevalence of both congenital and acquired uterine anomalies as assessed by 3D transvaginal US and diagnosed according to the criteria proposed by the most authoritative panels of experts in a cohort of women with RPL. STUDY DESIGN, SIZE, DURATION: This was a retrospective cohort study including 442 women with at least two previous first-trimester spontaneous pregnancy losses (i.e. non-viable intrauterine pregnancies), who referred to the obstetrics and gynecology unit of two university hospitals between July 2020 and July 2023. PARTICIPANTS/MATERIALS, SETTING, METHODS: Records of eligible women were reviewed. Women could be included in the study if: they were between 25 and 42 years old; they had no relevant comorbidities; they were not affected by infertility, and they had never undergone ART; they and their partner tested negative to a comprehensive RPL diagnostic work-up; and they had never undergone metroplasty, myomectomy, minimally invasive treatments for uterine fibroids or adenomyomectomy. Expert sonographers independently re-analyzed the stored 2- and 3D transvaginal US images of all included patients. Congenital uterine anomalies (CUAs) were reported according to the American Society for Reproductive Medicine (ASRM) 2021, the ESHRE/European Society for Gynaecological Endoscopy (ESGE) and the Congenital Uterine Malformation by Experts (CUME) criteria. Acquired uterine anomalies were reported according to the International Federation of Gynecology and Obstetrics (FIGO) and the Morphological Uterus Sonographic Assessment (MUSA) criteria. MAIN RESULTS AND THE ROLE OF CHANCE: The partial septate uterus was diagnosed in 60 (14%; 95% CI: 11-17%), 29 (7%; 95% CI: 5-9%), and 47 (11%; 95% CI: 8-14%) subjects, according to the ESHRE/ESGE, the ASRM 2021, and the CUME criteria, respectively. The T-shaped uterus was diagnosed in 19 women (4%; 95% CI: 3-7%) according to the ESHRE/ESGE criteria and in 13 women (3%; 95% CI: 2-5%) according to the CUME criteria. The borderline T-shaped uterus (diagnosed when two out of three CUME criteria for T-shaped uterus were met) was observed in 16 women (4%; 95% CI: 2-6%). At least one of FIGO type 0, type 1, or type 2 myoma was detected in 4% of included subjects (95% CI: 3-6%). Adenomyosis was detected in 100 women (23%; 95% CI: 19-27%) and was significantly more prevalent in women with primary RPL and in those with three or more pregnancy losses. At least one endometrial polyp was detected in 4% of enrolled women (95% CI: 3-7%). LIMITATIONS, REASONS FOR CAUTION: The absence of a control group prevented us from investigating the presence of an association between both congenital and acquired uterine anomalies and RPL. Second, the presence as well as the absence of both congenital and acquired uterine anomalies detected by 3D US was not confirmed by hysteroscopy. Finally, the results of the present study inevitably suffer from the intrinsic limitations of the adopted classification systems. WIDER IMPLICATIONS OF THE FINDINGS: The prevalence of CUAs in women with RPL varies depending on the classification system used. For reasons of clarity, the US reports should always state the name of the uterine anomaly as well as the adopted classification and diagnostic criteria. Adenomyosis seems to be associated with more severe forms of RPL. The prevalence rates estimated by our study as well as the replicability of the adopted diagnostic criteria provide a basis for the design and sample size calculation of prospective studies. STUDY FUNDING/COMPETING INTEREST(S): No specific funding was used. The authors have no conflicts of interest to declare. TRIAL REGISTRATION NUMBER: N/A.

Immunohistochemical characteristics of uterine lipoleiomyomas.

Lipoleiomyomas are rare variants of uterine leiomyomas rarely studied in the literature. We retrospectively studied 20 cases of uterine lipoleiomyomas showing that these lesions represent 0.7 % of all uterine leiomyomas diagnosed histologically. The patients did not experience any recurrence, and the tumors showed no morphological criteria of malignancy. They did not show significant p16, p53 or MiB1 expression. They showed diffuse and strong expression or estrogen and progesterone receptors by the smooth muscle component but without accompanying expression by the adipocytic component in one third of the cases. Androgen receptors were rarely expressed. They expressed in their majority HMGA2 in both components, while RB1 was usually not found. Fumarate hydratase (FH) is expressed by lipoleiomyomas, while they are negative for HMB45. In conclusion, uterine lipoleiomyomas are rare, benign tumors, characterized by HMGA2 expression, while they show no elements suspicious of malignancy, PEComas or FH deficiency. The role of RB1 in these tumors should be further explored.

Characterization of m6A Modifiers and RNA Modifications in Uterine Fibroids.

Uterine leiomyoma or fibroids are prevalent noncancerous tumors of the uterine muscle layer, yet their origin and development remain poorly understood. We analyzed RNA expression profiles of 15 epigenetic mediators in uterine fibroids compared to myometrium using publicly available RNA sequencing (RNA-seq) data. To validate our findings, we performed RT-qPCR on a separate cohort of uterine fibroids targeting these modifiers confirming our RNA-seq data. We then examined protein profiles of key N6-methyladenosine (m6A) modifiers in fibroids and their matched myometrium, showing no significant differences in concordance with our RNA expression profiles. To determine RNA modification abundance, mRNA and small RNA from fibroids and matched myometrium were analyzed by ultra-high performance liquid chromatography-mass spectrometry identifying prevalent m6A and 11 other known modifiers. However, no aberrant expression in fibroids was detected. We then mined a previously published dataset and identified differential expression of m6A modifiers that were specific to fibroid genetic subtype. Our analysis also identified m6A consensus motifs on genes previously identified to be dysregulated in uterine fibroids. Overall, using state-of-the-art mass spectrometry, RNA expression, and protein profiles, we characterized and identified differentially expressed m6A modifiers in relation to driver mutations. Despite the use of several different approaches, we identified limited differential expression of RNA modifiers and associated modifications in uterine fibroids. However, considering the highly heterogenous genomic and cellular nature of fibroids, and the possible contribution of single molecule m6A modifications to fibroid pathology, there is a need for greater in-depth characterization of m6A marks and modifiers in a larger and diverse patient cohort.

Analysis of Expression of the ANG1, CaSR and FAK Proteins in Uterine Fibroids.

Understanding the molecular factors involved in the development of uterine myomas may result in the use of pharmacological drugs instead of aggressive surgical treatment. ANG1, CaSR, and FAK were examined in myoma and peripheral tissue samples taken from women after myoma surgery and in normal uterine muscle tissue samples taken from the control group. Tests were performed using tissue microarray immunohistochemistry. No statistically significant differences in ANG1 expression between the tissue of the myoma, the periphery, and the normal uterine muscle tissue of the control group were recorded. The CaSR value was reduced in the myoma and peripheral tissue and normal in the group of women without myomas. FAK expression was also lower in the myoma and periphery compared to the healthy uterine myometrium. Calcium supplementation could have an effect on stopping the growth of myomas.

Development and validation of a deep learning-based method for automatic measurement of uterus, fibroid, and ablated volume in MRI after MR-HIFU treatment of uterine fibroids.

INTRODUCTION: The non-perfused volume divided by total fibroid load (NPV/TFL) is a predictive outcome parameter for MRI-guided high-intensity focused ultrasound (MR-HIFU) treatments of uterine fibroids, which is related to long-term symptom relief. In current clinical practice, the MR-HIFU outcome parameters are typically determined by visual inspection, so an automated computer-aided method could facilitate objective outcome quantification. The objective of this study was to develop and evaluate a deep learning-based segmentation algorithm for volume measurements of the uterus, uterine fibroids, and NPVs in MRI in order to automatically quantify the NPV/TFL. MATERIALS AND METHODS: A segmentation pipeline was developed and evaluated using expert manual segmentations of MRI scans of 115 uterine fibroid patients, screened for and/or undergoing MR-HIFU treatment. The pipeline contained three separate neural networks, one per target structure. The first step in the pipeline was uterus segmentation from contrast-enhanced (CE)-T1w scans. This segmentation was subsequently used to remove non-uterus background tissue for NPV and fibroid segmentation. In the following step, NPVs were segmented from uterus-only CE-T1w scans. Finally, fibroids were segmented from uterus-only T2w scans. The segmentations were used to calculate the volume for each structure. Reliability and agreement between manual and automatic segmentations, volumes, and NPV/TFLs were assessed. RESULTS: For treatment scans, the Dice similarity coefficients (DSC) between the manually and automatically obtained segmentations were 0.90 (uterus), 0.84 (NPV) and 0.74 (fibroid). Intraclass correlation coefficients (ICC) were 1.00 [0.99, 1.00] (uterus), 0.99 [0.98, 1.00] (NPV) and 0.98 [0.95, 0.99] (fibroid) between manually and automatically derived volumes. For manually and automatically derived NPV/TFLs, the mean difference was 5% [-41%, 51%] (ICC: 0.66 [0.32, 0.85]). CONCLUSION: The algorithm presented in this study automatically calculates uterus volume, fibroid load, and NPVs, which could lead to more objective outcome quantification after MR-HIFU treatments of uterine fibroids in comparison to visual inspection. When robustness has been ascertained in a future study, this tool may eventually be employed in clinical practice to automatically measure the NPV/TFL after MR-HIFU procedures of uterine fibroids.