Uterine sarcomas: clinical presentation and MRI features

Clinicopathological characteristics and prognosis of uterine sarcoma: a 10-year retrospective single-center study in China

BACKGROUND

Uterine sarcoma is a rare and heterogeneous gynecological malignancy characterized by aggressive progression and poor prognosis. The current study aimed to investigate the relationship between clinicopathological characteristics and the prognosis of uterine sarcoma in Chinese patients.

METHODS

In this single-center retrospective study, we reviewed the medical records of 75 patients with histologically verified uterine sarcoma treated at the First Affiliated Hospital of Xi'an Jiaotong University between 2011 and 2020. Information on clinical characteristics, treatments, pathology and survival was collected. Progression-free survival (PFS) and overall survival (OS) were visualized in Kaplan-Meier curves. Prognostic factors were identified using the log-rank test for univariate analysis and Cox-proportional hazards regression models for multivariate analysis.

RESULTS

The histopathological types included 36 endometrial stromal sarcomas (ESS,48%), 33 leiomyosarcomas (LMS,44%) and 6 adenosarcomas (8%). The mean age at diagnosis was 50.2 ± 10.7 years. Stage I and low-grade accounted for the majority. There were 26 recurrences and 25 deaths at the last follow-up. The mean PFS and OS were 89.41 (95% CI: 76.07-102.75) and 94.03 (95% CI: 81.67-106.38) months, respectively. Univariate analysis showed that > 50 years, post-menopause, advanced stage, ≥ 1/2 myometrial invasion, lymphovascular space invasion and high grade were associated with shorter survival (P < 0.05). Color Doppler flow imaging positive signals were associated with shorter PFS in the LMS group (P = 0.046). The ESS group had longer PFS than that of the LMS group (99.56 vs. 76.05 months, P = 0.043). The multivariate analysis showed that post-menopause and advanced stage were independent risk factors of both PFS and OS in the total cohort and LMS group. In the ESS group, diagnosis age > 50 years and high-grade were independent risk factors of PFS, while high-grade and lymphovascular space invasion were independent risk factors of OS.

CONCLUSION

In Chinese patients with uterine sarcoma, post-menopause and advanced stage were associated with a significantly poorer prognosis. The prognosis of ESS was better than that of LMS. Color Doppler flow imaging positive signals of the tumor helped to identify LMS, which needs to be further tested in a larger sample in the future.

Validating the diagnostic accuracy of an MRI-based scoring system for differentiating benign uterine leiomyomas from leiomyosarcomas

OBJECTIVE

Uterine leiomyomas are the most common benign uterine tumors. They are difficult to distinguish from their malignant counterparts-smooth muscle tumors of unknown malignant potential (STUMP) and leiomyosarcoma. The purpose of this study is to propose and validate the diagnostic accuracy of the MRI-based Oman-Canada Scoring System of Myometrial Masses (OCSSMM) to differentiate uterine leiomyomas from STUMP/leiomyosarcomas.

METHODS

This is a retrospective study performed at two tertiary care centers. All patients with a pathology-proven uterine mass who underwent pre-operative pelvic MRI between January 2010 and January 2020 were included. Using a 1.5T MRI machine, sequences included were axial/coronal/sagittal T2 and T1 weighted imaging, axial diffusion weighted and apparent diffusion coefficient map, and axial or sagittal dynamic contrast-enhanced sequences. A scoring system was designed based on previously published worrisome MRI features for uterine leiomyosarcoma. Each feature was allocated a score from 0 to 2 according to the strength of association with malignancy. Subsequently, the MR images were blindly and independently reviewed by a fellowship-trained radiologist and a clinical fellow/senior resident. Each uterine mass was scored according to their imaging features. The scores were divided into five categories according to the sum of scores. Category III and above was considered positive for leiomyosarcoma/STUMP. Sensitivity, specificity, and positive and negative predictive values were calculated.

RESULTS

A total of 244 women were included (age range 20-74 years, mean 40). Of these, 218 patients had benign leiomyoma, 13 had STUMP, and 13 had leiomyosarcoma. The sensitivity and specificity of the scoring system were 92.3% and 64.7%, respectively. The negative predictive value was 98.6%. No leiomyosarcoma was missed using this scoring system. The presence of non-cystic T2 hyperintensity or diffusion restriction in a uterine mass were the most sensitive signs of a leiomyosarcoma/STUMP.

CONCLUSION

The proposed multi-parametric MRI scoring system may be useful in differentiating benign uterine leiomyomas from leiomyosarcomas/STUMP.

Smooth muscle tumours of the uterus: MR imaging malignant predictive features-a 12-year analysis in a referral hospital in Portugal

PURPOSE

To evaluate the magnetic resonance imaging (MRI) features that may help distinguish leiomyosarcomas from atypical leiomyomas (those presenting hyperintensity on T2-W images equal or superior to 50% compared to the myometrium).

MATERIALS AND METHODS

The authors conducted a retrospective single-centre study that included a total of 57 women diagnosed with smooth muscle tumour of the uterus, who were evaluated with pelvic MRI, between January 2009 and March 2020. All cases had a histologically proven diagnosis (31 Atypical Leiomyomas-ALM; 26 Leiomyosarcomas-LMS). The MRI features evaluated in this study included: age at presentation, dimension, contours, intra-tumoral haemorrhagic areas, T2-WI heterogeneity, T2-WI dark areas, flow voids, cyst areas, necrosis, restriction on diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC) values, signal intensity and heterogeneity after contrast administration in T1-WI, presence and location of unenhanced areas. The association between the MRI characteristics and the histological subtype was evaluated using Chi-Square and ANOVA tests.

RESULTS

The MRI parameters that showed a statistically significance correlation with malignant histology and thus most strongly associated with LMS were found to be: irregular contours (p < 0.001), intra-tumoral haemorrhagic areas (p = 0.028), T2-WI dark areas (p = 0.016), high signal intensity after contrast administration (p = 0.005), necrosis (p = 0.001), central location for unenhanced areas (p = 0.026), and ADC value lower than 0.88 × 10-3 mm2/s (p = 0.002).

CONCLUSION

With our work, we demonstrate the presence of seven MRI features that are statistically significant in differentiating between LMS and ALM.

Diagnostic accuracy of MRI in the differential diagnosis between uterine leiomyomas and sarcomas: A systematic review and meta-analysis

BACKGROUND

Differential diagnosis between uterine leiomyomas and sarcomas is challenging. Magnetic resonance imaging (MRI) represents the second-line diagnostic method after ultrasound for the assessment of uterine masses.

OBJECTIVES

To assess the accuracy of MRI in the differential diagnosis between uterine leiomyomas and sarcomas.

SEARCH STRATEGY

A systematic review and meta-analysis was performed searching five electronic databases from their inception to June 2023.

SELECTION CRITERIA

All peer-reviewed observational or randomized clinical trials that reported an unbiased postoperative histologic diagnosis of uterine leiomyoma or uterine sarcoma, which also comprehended a preoperative MRI evaluation of the uterine mass.

DATA COLLECTION AND ANALYSIS

Sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratio, and area under the curve on summary receiver operating characteristic of MRI in differentiating uterine leiomyomas and sarcomas were calculated as individual and pooled estimates, with 95% confidence intervals (CI).

RESULTS

Eight studies with 2495 women (2253 with uterine leiomyomas and 179 with uterine sarcomas), were included. MRI showed pooled sensitivity of 0.90 (95% CI 0.84-0.94), specificity of 0.96 (95% CI 0.96-0.97), positive likelihood ratio of 13.55 (95% CI 6.20-29.61), negative likelihood ratio of 0.08 (95% CI 0.02-0.32), diagnostic odds ratio of 175.13 (95% CI 46.53-659.09), and area under the curve of 0.9759.

CONCLUSIONS

MRI has a high diagnostic accuracy in the differential diagnosis between uterine leiomyomas and sarcomas.

Soft-Tissue Sarcomas of the Genitourinary Tract with Radiologic-Pathologic Correlation

Genitourinary tract soft-tissue sarcomas are rare neoplasms with varied pathologic and clinical features. While some of these tumors may be aggressive high-grade malignancies, others are low grade with a relatively better prognosis. Given that the grade and extent of the disease are important prognostic factors in these tumors, timely diagnosis is crucial. Unfortunately, most imaging features of these malignancies are not pathognomonic, and various histologic subtypes do not manifest with typical classic imaging features. Therefore, reliable differentiation of the various histologic tumor types is not always possible based solely on the radiologic manifestations. Imaging findings need to be considered in the context of clinical history in corroboration with radiologic-pathologic correlation. The authors discuss the specific imaging and pathologic characteristics of various genitourinary tract soft-tissue sarcomas, emphasizing diagnostic difficulties and differential diagnoses. ©RSNA, 2024 Test Your Knowledge questions for this article are available in the supplemental material.

Low grade endometrial stromal sarcoma in pregnancy: A case in support of safe abortion access

Background

Endometrial stromal sarcoma (ESS) is extremely rare in pregnancy. It shares clinical and imaging features with more common pregnancy findings such as leiomyoma and molar gestations, which makes diagnosis challenging.

Case

A 36-year-old patient presented at 8 weeks and 1 day gestation for vaginal bleeding. An intrauterine pregnancy with an appropriately sized embryo with heart motion and a 9.5 cm complex uterine mass was found on ultrasound. MRI showed an 11.4 cm cystic mass with nodular septations causing mass effect on the endometrial cavity. After extensive counseling, the patient underwent a gravid abdominal hysterectomy and bilateral salpingectomy. Final pathology showed low grade ESS.

Conclusion

This case highlights the importance of evaluating suspicious uterine masses in pregnancy and the necessity for safe abortion access.

US, MRI, CT Performance and Interpretation of Uterine Masses

Uterine masses are commonly encountered as incidental findings during cross-sectional imaging or when individuals present with symptoms such as pain and bleeding. The World Health Organization categorizes tumors of the uterine corpus into 5 distinct groups: endometrial epithelial tumors and their precursors, tumor-like growths, mesenchymal uterine tumors, tumors with a combination of epithelial and mesenchymal elements, and various other types of tumors. The primary imaging method for assessing uterine abnormalities is transvaginal ultrasound. However, magnetic resonance imaging (MRI) can be employed to enhance the visualization of soft tissues, enabling a more detailed characterization of uterine masses. This article aims to outline the imaging features of both benign and malignant uterine masses using ultrasound, MRI, and computed tomography.

A case of ovarian endometrial stromal sarcoma: Radiological and histopathological findings

Endometrial stromal sarcoma (ESS) is an uncommon uterine mesenchymal neoplasm. The primary extra-uterine location of ESS is a very rare occurrence. We present a case of a 39-year-old woman presented with severe abdominal pain, MRI showed bilateral ovarian tumors with heterogeneous intensity on T2-weighted imaging (T2WI) and T1-weighted imaging (T1WI), with restricted diffusion, including hyperintense areas on T1WI, not erased on T1-weighted fat-suppressed imaging, hypointense on T2WI, and not enhanced after contrast. This mass extended to the Douglas and invaded the uterine and the rectum serosa suggesting an underlying endometriosis. No abnormalities were suspected in the endometrium. The exploration revealed a friable mass arising from ovaries associated with nodules in the small intestine and sigmoid. The patient underwent bilateral adnexectomy and the anatomopathological study revealed a low-grade endometrial stromal sarcoma. This is one of the few reports covering the radiological features of low-grade extra-uterine ESS in the ovary which is probably secondary to degeneration of endometriosis with no evidence of primary uterine ESS.

The Role of Pathogenesis Associated with the Tumor Microclimate in the Differential Diagnosis of Uterine Myocytic Tumors

Myocytic tumors of the uterus present vast morphological heterogeneity, which makes differential diagnosis between the different entities necessary. This study aims to enrich the existing data and highlight new potential therapeutic targets regarding aspects related to the pathogenic process and the tumor microenvironment in order to improve the quality of life of women. We performed a 5-year retrospective study, including particular cases of uterine myocyte tumors. Immunohistochemical analyses of pathogenic pathways (p53, RB1, and PTEN) and tumor microclimate using markers (CD8, PD-L1, and CD105), as well as genetic testing of the PTEN gene, were performed. The data were statistically analyzed using the appropriate parameters. In cases of atypical leiomyoma, a significant association was observed between PTEN deletion and an increased number of PD-L1+ T lymphocytes. For malignant lesions and STUMP, PTEN deletion was associated with the advanced disease stage. Advanced cases were also associated with an increased mean CD8+ T cell count. An increased number of lymphocytes was associated with an increased percentage of RB1+ nuclei. The study corroborated clinical and histogenetic data, highlighting the importance of the differential diagnosis of these tumors to improve the management of patients and increase their quality of life.

Laterally extended endopelvic resection as part of the surgical management of disseminated retroperitoneal leiomyomatosis mimicking low-grade sarcoma in a patient with a solitary kidney

Leiomyomas are common benign uterine smooth muscle tumours. Rarer subsets may demonstrate aggressive extrauterine growth which mimic metastatic disease. We discuss the case of a female patient in her 40s, with a long-standing atrophic right kidney, presenting with a 17 cm uterine mass demonstrating bilateral para-aortic and pelvic sidewall spread. Although biopsies favoured the diagnosis of a benign tumour, a leiomyosarcoma could not be excluded. The surgical complexity of the case was compounded by a tumour residing close to the only functioning kidney and engulfment of the inferior mesenteric artery. The surgical procedures indicated were a radical hysterectomy, the laterally extended endopelvic resection procedure to achieve clear margins in the pelvic sidewall and a left hemicolectomy. In the absence of formal guidelines, we present this challenging case to provide clarity into the histological assessment and surgical management of rare leiomyomas, as well as an overview of the current literature.

Radiologic Findings of Mesonephric-Like Adenocarcinoma of the Uterine Corpus: A Case Report

According to the 2020 World Health Organization classification, mesonephric-like adenocarcinoma (MLA) is newly categorized as a subtype of endometrial carcinoma and remains a relatively unknown disease owing to its rarity. To the best of our knowledge, radiological findings of MLA have not been reported in the English literature. The uterine MLAs show a worse clinical prognosis and a more aggressive biological behavior than the usual endometrial carcinoma. Herein, we present the imaging findings of a 65-year-old female with a MLA in the uterine corpus. The tumor was a solid endometrial mass with deep myometrial invasion, poor contrast enhancement, and moderate diffusion restriction.

Metastatic Uterine Leiomyosarcoma as a Rare and Sinister Cause of Respiratory Distress: A Case Report and Literature Review

Uterine leiomyosarcomas are an extremely rare subtype of uterine malignancy. This is a case report of a 47-year-old woman whose underlying uterine leiomyosarcoma manifested as acute respiratory distress secondary to pulmonary metastases. We highlight that a combination of suggestive imaging features and elevated lactate dehydrogenase (LDH) may prompt its diagnosis, notwithstanding that histological examination of a tissue sample is mandatory for its confirmation. The diagnosis of this condition is arduous for a multitude of reasons, including the insidious clinical course, aggressive nature, and high propensity to metastasize, coupled with a lack of standardised guidelines for its preoperative work-up. These challenges are amplified where resources may be limited, such as in the Caribbean region, where radiographic imaging and treatment options may not always be readily available.

Current Concepts in the Imaging of Uterine Sarcomas

Uterine sarcomas are a group of rare uterine tumors comprised of multiple subtypes with different histologic characteristics, prognoses, and imaging appearances. Identification of uterine sarcomas and their differentiation from benign uterine disease on imaging is of critical importance for treatment planning to guide appropriate management and optimize patient outcomes. Herein, we review the spectrum of uterine sarcomas with a focus on the classification of primary sarcoma subtypes and presenting the typical MR imaging appearances.

COL1A1-PDGFB Fusion Associated Fibrosarcoma of the Uterine Corpus: A Case Report and Literature Review

Uterine collagen type 1 alpha 1 (COL1A1) and platelet-derived growth factor beta chain (PDGFB) fusion associated fibrosarcoma is a recently described entity characterized by a specific translocation t(17;22) (q22;q13) leading to the formation of COL1A1-PDGFB fusion transcripts that are typically associated with dermatofibrosarcoma protuberans. So far, only 4 cases of COL1A1-PDGFB fusion associated fibrosarcoma involving the female reproductive system have been reported in the literature. All cases showed strong diffuse expression of CD34. COL1A1-PDGFB fusion associated fibrosarcomas are aggressive tumors with a propensity for chemotherapy resistance and a poor prognosis. We are reporting the fifth case of a uterine COL1A1-PDGFB fusion associated fibrosarcoma. A 58-yr-old female presented with a large uterine mass with extension into bilateral pelvic sidewalls, mesentery of rectosigmoid colon and the vagina. A hysterectomy, bilateral salpingo-oophorectomy, and tumor debulking procedure was performed. Microscopic evaluation revealed a mitotically active cellular spindle cell neoplasm with focal osteoclast like giant cells, myxoid changes and necrosis. CD34 was diffusely and strongly positive throughout the tumor. Next-generation sequencing showed presence of the COL1A1-PDGFB fusion. The patient was treated with multiple chemotherapy regimens, however, progressed under therapy with worsening symptoms and development of extensive pelvic disease. She died of disease 13 mo after the initial diagnosis. In summary, uterine COL1A1-PDGFB fusion associated fibrosarcomas are rare tumors with aggressive clinical behavior that need to be considered in the differential diagnosis of CD34-positive uterine spindle cell neoplasms. Novel treatment options may include imatinib, a tyrosine kinase inhibitor used for treatment of advanced and unresectable dermatofibrosarcoma protuberans that was given in 1 uterine sarcoma case and showed promising initial response.

Structural Gynecological Disease: Fibroids, Endometriosis, Ovarian Cysts

Fibroids, endometriosis, and ovarian cysts are common conditions. Fibroids can be asymptomatic or present with heavy menstrual bleeding, pelvic pressure, and pain. Endometriosis is a common cause of cyclical pelvic pain. Ovarian cysts are generally diagnosed incidentally. Transvaginal ultrasound is the performed imaging modality for all structural gynecological disease. Symptomatic management is recommended for each condition. Fibroids can be managed medically or surgically depending on the patient's symptoms and desire for future fertility. Nonsteroidal anti-inflammatory drugs are the first-line therapy for endometriosis followed by oral contraceptives and surgical management. Ovarian cysts can be managed expectantly.

MRI Evaluation of Uterine Masses for Risk of Leiomyosarcoma: A Consensus Statement

Laparoscopic myomectomy, a common gynecologic operation in premenopausal women, has become heavily regulated since 2014 following the dissemination of unsuspected uterine leiomyosarcoma (LMS) throughout the pelvis of a physician treated for symptomatic leiomyoma. Research since that time suggests a higher prevalence than previously suspected of uterine LMS in resected masses presumed to represent leiomyoma, as high as one in 770 women (0.13%). Though rare, the dissemination of an aggressive malignant neoplasm due to noncontained electromechanical morcellation in laparoscopic myomectomy is a devastating outcome. Gynecologic surgeons' desire for an evidence-based, noninvasive evaluation for LMS is driven by a clear need to avoid such harms while maintaining the availability of minimally invasive surgery for symptomatic leiomyoma. Laparoscopic gynecologists could rely upon the distinction of higher-risk uterine masses preoperatively to plan oncologic surgery (ie, potential hysterectomy) for patients with elevated risk for LMS and, conversely, to safely offer women with no or minimal indicators of elevated risk the fertility-preserving laparoscopic myomectomy. MRI evaluation for LMS may potentially serve this purpose in symptomatic women with leiomyomas. This evidence review and consensus statement defines imaging and disease-related terms to allow more uniform and reliable interpretation and identifies the highest priorities for future research on LMS evaluation.

The role of multiparametric MRI in differentiating uterine leiomyosarcoma from benign degenerative leiomyoma and leiomyoma variants: a retrospective analysis

AIM

To assess qualitative and quantitative magnetic resonance imaging (MRI) factors that can help distinguish leiomyosarcoma (LMS) from benign degenerative leiomyoma (BDL) and leiomyoma variants (LV) and assess the interobserver agreement for the proposed quantitative factors.

MATERIALS AND METHODS

Retrospective analysis of all histopathology proven cases of LV, BDL, and LMS with a preoperative MRI was performed. Twenty-seven cases were included (five LMS, three LV, and 19 BDL) with each case independently read by a pair of radiologists. Lesion size, margins, presence or absence of degeneration, necrosis, and haemorrhage were assessed on MRI along with quantitative factors such as mean T2-weighted (W) and T1W signal intensity, T1W signal heterogeneity, diffusion-weighted imaging (DWI), and apparent diffusion coefficient (ADC) ratios as well as dynamic contrast enhancement (DCE) characteristics along with the presence or absence of lymphadenopathy and extra-uterine and peritoneal spread. Mean and standard deviation for quantitative variables and frequency with percentages for qualitative variables were assessed.

RESULTS

Infiltrative margins were seen exclusively in the LMS group (n=1), with the remaining LMS cases showing lobulate or rounded smooth margins similar to BDL or LV. A high T2W signal <25% was seen exclusively in the BDL group (n=8). The presence of concomitant necrosis and haemorrhage was seen exclusively in the LMS group (n=2). Quantitative MRI had good inter-reader correlation but was not significantly different between the LMS, BDL, and LV groups.

CONCLUSION

LMS, BDL, and LV may have overlapping features on multiparametric MRI making differentiation difficult.

Clinical manifestations and prognosis of unexpected uterine sarcoma of uterine fibroids in Tianjin China

BACKGROUND

Uterine sarcoma is a rare malignancy of women and fewer uterine sarcomas are detected preoperatively. The reported incidence of preoperatively diagnosed uterine sarcoma (PDUS) was 0.07%. This study aims to identify the prevalence of unexpected uterine sarcoma (UUS) after operation for presumed leiomyoma and compare clinical outcomes after primary therapy.

METHODS

A retrospective study was performed evaluating all uterine sarcoma diagnosed in Tianjin Central Hospital of Gynecology and Obstetrics between May 2011 and July 2016.We used the χ² and T tests to assess the incidence and clinical features of patients. The Kaplan-Meier method was used to calculate disease-related survival.

RESULTS

The study retrospectively analyzed 6625 patients with uterine fibroids and found 45 UUS patients and 21 patients of PDUS. The incidence of UUS is (45/6625) 0.67%. The incidence of UUS in patients undergoing total hysterectomy was higher undergoing tumor resection (P < 0.001); the age of UUS is younger than PDUS (P = 0.046); the differences in menopausal status and primary complaints between the two groups are not statistically significant. The PDUS group had more patients with Stage II and III sarcomas than the UUS group (P < 0.001); the duration of symptoms in the PDUS group was longer than in the UUS group (P = 0.033). The 5-year overall survival (OS) rate of the UUS group (77.7%) is higher than the PDUS group (46.3%) (P < 0.001).

CONCLUSIONS

The incidence of UUS is low. UUS has a younger age of onset, shorter history of the disease, earlier clinical stage, and better prognosis.

Five-Year Retrospective Study of Uterine STUMP and Leiomyosarcoma

Taking into account the unpredictable evolution of uterine STUMP and leiomyosarcomas, there are no clearly established therapeutic protocols to date, the only certified treatment being total hysterectomy. We performed a 5-year retrospective study including cases of malignant tumors and those with uncertain malignant potential originating in the smooth muscle tissue of the uterine body. The clinical data, pathological aspects, and the immunohistochemical results were statistically analyzed using SPSS Statistics Version 26. The main associations of the p53 gene were identified with age, atypia, and the occurrence of metastases. The average number of CD8+ T cells correlated with the hormonal status of the patients, the presence of diabetes, and alteration of thyroid function, but also with the severity of the atypia. The therapeutic method was represented by total hysterectomy, and 30% of the patients with leiomyosarcoma also benefited from adjuvant chemotherapy. The average period until death was 25.66 months. The present study showed that the mutant expression of p53 could have a role in assessing the clinical evolution of patients, given the association with exitus and metastasis. In addition, the average number of CD8+ T cells corresponded to severe atypia, indicating the possibility of applying targeted immunotherapies in these cases.

Clinical characteristics and prognosis analysis of uterine sarcoma: a single-institution retrospective study

Background

Uterine sarcomas are rare and aggressive gynaecologic malignancies, characterized by a relatively high recurrence rate and poor prognosis. The aim of this study was to investigate the clinicopathological features and explore the prognostic factors of these malignancies.

Methods

This was a single-institution, retrospective study. We reviewed the medical records of 155 patients with pathologically confirmed uterine sarcomas including uterine leiomyosarcoma (ULMS), low-grade endometrial stromal sarcoma (LG-ESS), high-grade endometrial stromal sarcoma (HG-ESS), undifferentiated uterine sarcoma (UUS) and adenosarcoma (AS) between 2006 and 2022. A total of 112 patients who underwent surgery between January 2006 and April 2019 were included in the survival analysis. The current study recorded the clinicopathological, treatment and outcome data to determine clinical characteristics and survival.

Results

The most common histopathological type was ULMS (63/155, 40.64%), followed by LG-ESS (56/155, 36.13%) and HG-ESS (16/155, 10.32%). The mean age at diagnosis of all patients was 49.27±48.50 years and 32.90% (51/155) of patients were postmenopausal. Fifteen patients underwent fast-frozen sectioning, 63(54.78%) were diagnosed with malignancy, 29(25.22%) were highly suspected of malignancy that needed further clarification and 23(14.84%) were diagnosed with benign disease. A total of 124(80%) patients underwent total hysterectomy (TH) and salpingo-oophorectomy. Multivariate analyses showed that histological type and tumour size were independent prognostic factors both for overall survival (OS) (p<0.001 and P=0.017, respectively) and progression-free survival (PFS) (p<0.001 and P=0.018, respectively). Tumour stage was only significantly associated with PFS (P=0.002). Elevated preoperative NLR, PLR and postmenopausal status were significantly correlated with shorter PFS and OS in univariate analysis, but no statistically significant difference was found in multivariate analysis.

Conclusions

In patients with uterine sarcoma, in comparison to LMS and LG-ESS, UUS and HG-ESS tend to present as more aggressive tumour with poorer outcomes. Furthermore, larger tumour (>7.5 cm) were an important predictor of shorter PFS and OS.

Differentiating cellular leiomyoma from uterine sarcoma and atypical leiomyoma using multi-parametric MRI

Objectives

To evaluate the diagnostic performance of conventional magnetic resonance imaging (cMRI) combined with diffusion-weighted MRI (DWI) in discrimination of cellular leiomyoma, uterine sarcoma, and atypical leiomyoma.

Methods

This retrospective study enrolled 106 patients with uterine masses, including 51 cellular leiomyomas (CLs), 32 uterine sarcomas (USs) and 23 degenerated leiomyomas (LMs) confirmed by histopathologic examination. Clinical data and imaging findings were assessed. Chi-squared test for qualitative variables and one way ANOVA analysis for quantitative variables were performed. Logistic regression analysis and the receiver operating characteristic (ROC) analysis were performed to determine the cut-off point and diagnostic performances for significant numeric values or multiple models.

Results

Morphology (Odds ratio [OR] = 6.36) and margin (OR = 13.84) derived from cMRI were independent indicators for differentiating CLs from USs, and T2WI signal (OR = 0.23) were an independent indicator for differentiating CLs from degenerated LMs (all P < 0.05). The cutoff value of apparent diffusion coefficient (ADC) derived from DWI for differentiating CLs from USs was 839 ×10^-6 mm²/sec and was 1239 ×10^-6 mm²/sec for differentiating CLs from degenerated LMs. Compared with the use of cMRI features and ADC value alone, combination of independent indicators and ADC value achieved higher AUCs for both differentiations (all P < 0.05).

Conclusions

cMRI is a reliable tool for differentiating CLs from USs and atypical leiomyoma, especially degenerated LMs. The combined use of cMRI and DWI can improve the differential diagnostic performance.

Advances in the Preoperative Identification of Uterine Sarcoma

Simple Summary

As a lethal malignant tumor, uterine sarcomas lack specific diagnostic criteria due to their similar presentation with uterine fibroids, clinicians are prone to make the wrong diagnosis or adopt incorrect treatment methods, which leads to rapid tumor progression and increased metastatic propensity. In recent years, with the improvement of medical level and awareness of uterine sarcoma, more and more studies have proposed new methods for preoperative differentiation of uterine sarcoma and uterine fibroids. This review outlines the up-to-date knowledge about preoperative differentiation of uterine sarcoma and uterine fibroids, including laboratory tests, imaging examinations, radiomics and machine learning-related methods, preoperative biopsy, integrated model and other relevant emerging technologies, and provides recommendations for future research.

Abstract

Uterine sarcomas are rare malignant tumors of the uterus with a high degree of malignancy. Their clinical manifestations, imaging examination findings, and laboratory test results overlap with those of uterine fibroids. No reliable diagnostic criteria can distinguish uterine sarcomas from other uterine tumors, and the final diagnosis is usually only made after surgery based on histopathological evaluation. Conservative or minimally invasive treatment of patients with uterine sarcomas misdiagnosed preoperatively as uterine fibroids will shorten patient survival. Herein, we will summarize recent advances in the preoperative diagnosis of uterine sarcomas, including epidemiology and clinical manifestations, laboratory tests, imaging examinations, radiomics and machine learning-related methods, preoperative biopsy, integrated model and other relevant emerging technologies.

Metástasis parietal de neoplasia intraabdominal

Los sarcomas uterinos corresponden al 7-8 % de todas las neoplasias uterinas1. La edad promedio de presentación es entre la cuarta y quinta década de la vida. Su diagnóstico suele ser tardío porque sus manifestaciones clínicas son inespecíficas y silentes. Histológicamente los sarcomas se dividen en carcinosarcomas (50 %), leiomiosarcomas (30 %), sarcomas del estroma endometrial (15 %) y sarcomas indiferenciados (5 %) 2.

Uterine Sarcomas: How to Navigate an Ever-Growing List of Subtypes

Uterine sarcomas are rare mesenchymal tumors that are aggressive cancers. The rarity of these tumors, and consequently limited prospective data, has made surgical management of uterine sarcomas challenging. One major obstacle in the management of uterine sarcomas is establishing the diagnosis prior to surgery, which is crucial for appropriate intraoperative management. This paper serves to review aspects of surgical management of uterine sarcomas that remain unanswered. Distinguishing common benign myomas from rare uterine sarcomas is important for operative planning and subspecialty care because benign myomas are frequently managed with minimally invasive hysterectomy or myomectomy, whereas the mainstay of management of uterine sarcomas is hysterectomy without specimen fragmentation. Preoperative clinical presentation, serum studies, imaging, and histologic examination all have limitations in establishing a preoperative diagnosis. In addition, patients are often of reproductive age and desire fertility preservation. Although surgery remains the cornerstone for management, high-quality data guiding best practices are sparse. Morcellation should be avoided. Expert pathologic review, imaging to assess for metastatic disease, and consideration of hormone receptor testing are advisable. Recent data have further informed surgical approach and fertility preservation in early-stage disease, but controversy remains. Despite substantial advancement in the medical management of uterine sarcomas, surgical management of uterine sarcomas remain challenging. Larger studies with long-term follow-up are needed to guide fertility preservation surgery options, both local resection and ovarian preservation, further in young women. Development of novel methods to differentiate between benign and malignant uterine masses is needed.

MR Imaging of uterine sarcomas: a comprehensive review with radiologic-pathologic correlation

The aim of this article is to summarize the MRI features of each sarcoma subtype and to correlate them with its pathological findings. Literature review through PubMed/Medline database to identify relevant articles on uterine sarcomas, with a special emphasis on their MRI findings and pathological features. While several, more generalistic, MRI findings of a uterine tumour should raise suspicion for malignancy (including irregular contour, intra-tumoral necrosis/hemorrhage and low ADC values), some particular features may suggest their specific histological subtype such as the gross lymphovascular invasion associated with endometrial stromal sarcomas, the "bag of worms" appearance of the low-grade endometrial stromal sarcoma and the "lattice-like" aspect of adenosarcomas which results from the mixed composition of solid and multiseptated cystic components. Knowledge of the different histological uterine sarcoma subtypes, their specific MRI features and comprehension of their pathological background allows for a more confident diagnosis and may indicate the correct histological subtype.

A ruptured ovarian cystadenofibroma presenting with life-threatening sepsis and an incidental synchronous endometrial stromal sarcoma

A woman in her 60s presented with a rare complication of an ovarian cyst which many clinicians may not consider at first presentation. She was admitted with life-threatening staphylococcus aureus sepsis. She presented shocked with a collapse following a 2-day history of diarrhoea, vomiting and pain in the right iliac fossa. She was taken to theatre where a ruptured, widely infarcted left ovarian serous cystadenofibroma was discovered with over 2 litres of purulent fluid exuding from the cyst into the abdomen. She had a left cyst removal, hysterectomy and bilateral salpingo-oophorectomy performed. Histological analysis and molecular gene testing of an incidentally discovered uterine neoplasm revealed an undifferentiated uterine sarcoma. She successfully recovered as an inpatient and was discharged under the care of an oncology team for ongoing management.

Utility of magnetic resonance imaging for differentiating malignant mesenchymal tumors of the uterus from T2-weighted hyperintense leiomyomas

PURPOSE

To generate a new discrimination method to distinguish between malignant mesenchymal tumors of the uterus and T2-weighted hyperintense leiomyoma based on magnetic resonance imaging findings and clinical features.

MATERIALS AND METHODS

Data from 32 tumors of 32 patients with malignant mesenchymal tumors of the uterus and from 34 tumors of 30 patients with T2-weighted hyperintense leiomyoma were analyzed. Clinical parameters, qualitative magnetic resonance imaging features, including computed diffusion-weighted imaging, and quantitative characteristics of magnetic resonance imaging of these two tumor types were compared. Predictive values for malignant mesenchymal tumors of the uterus were calculated using variant discriminant analysis.

RESULTS

The T1 bright area on qualitative assessment and mean apparent diffusion coefficient value on quantitative assessment yielded the most independent magnetic resonance imaging differentiators of malignant mesenchymal tumors of the uterus and T2-weighted hyperintense leiomyoma. The classification accuracy of the variant discriminant analysis based on three selected findings, i.e., a T1 bright area, computed diffusion-weighted imaging with a b-value of 2000s/mm² (cDWI₂₀₀₀), and T2-hypointense bands, was 84.8% (56/66), indicating high accuracy.

CONCLUSIONS

Variant discriminant analysis using the T1 bright area, cDWI₂₀₀₀, and T2-hypointense bands yielded high accuracy for differentiating between malignant mesenchymal tumors of the uterus and T2-weighted hyperintense leiomyoma.

Leiomyosarcoma of the Uterus: A Rare Diagnosis

Uterine leiomyosarcoma is a rare malignant tumor that accounts for almost 2-5% of all uterine malignancies. It has the highest prevalence during pre and perimenopause. Further, it clinically resembles benign conditions like leiomyoma, and the diagnosis is confirmed with the histologic findings of the mass. Here, we present the case of a 70-year-old female who presented with lower abdominal pain for two years. Exploratory laparotomy with hysterectomy was performed, and the diagnosis of leiomyosarcoma was confirmed after histological examination of the resected tumor.

Differentiation of uterine low-grade endometrial stromal sarcoma from rare leiomyoma variants by magnetic resonance imaging

The purpose of this study is to evaluate utility of MRI in differentiation of uterine low-grade endometrial stromal sarcoma (LGESS) from rare leiomyoma variants. This multi-center retrospective study included consecutive 25 patients with uterine LGESS and 42 patients with rare leiomyoma variants who had pretreatment MRI. Two radiologists (R1/R2) independently evaluated MRI features, which were analyzed statistically using Fisher's exact test or Student's t-test. Subsequently, using a five-point Likert scale, the two radiologists evaluated the diagnostic performance of a pre-defined MRI system using features reported as characteristics of LGESS in previous case series: uterine tumor with high signal intensity (SI) on diffusion-weighted images and with either worm-like nodular extension, intra-tumoral low SI bands, or low SI rim on T2-weighted images. Area under the receiver operating characteristic curve (AUC), sensitivity, and specificity of the two readers' Likert scales were analyzed. Intra-tumoral low SI bands (p < 0.001), cystic/necrotic change (p ≤ 0.02), absence of speckled appearance (p < 0.001) on T2-weighted images, and a low apparent diffusion coefficient value (p ≤ 0.02) were significantly associated with LGESS. The pre-defined MRI system showed very good diagnostic performance: AUC 0.86/0.89, sensitivity 0.95/0.95, and specificity 0.67/0.69 for R1/R2. MRI can be useful to differentiate uterine LGESS from rare leiomyoma variants.

Differentiating uterine sarcoma from leiomyoma: BET1T2ER Check!

Although rare, uterine sarcoma is a diagnosis that no one wants to miss. Often benign leiomyomas (fibroids) and uterine sarcomas can be differentiated due to the typical low T2 signal intensity contents and well-defined appearances of benign leiomyomas compared to the suspicious appearances of sarcomas presenting as large uterine masses with irregular outlines and intermediate T2 signal intensity together with possible features of secondary spread. The problem is when these benign lesions are atypical causing suspicious imaging features. This article provides a review of the current literature on imaging features of atypical fibroids and uterine sarcomas with an aide-memoire BET¹T²ER Check! to help identify key features more suggestive of a uterine sarcoma.

New imaging modalities to distinguish rare uterine mesenchymal cancers from benign uterine lesions

PURPOSE OF REVIEW

Uterine sarcomas are rare and are often challenging to differentiate on imaging from benign mimics, such as leiomyoma. As functional MRI techniques have improved and new adjuncts, such as machine learning and texture analysis, are now being investigated, it is helpful to be aware of the current literature on imaging features that may sometimes allow for preoperative distinction.

RECENT FINDINGS

MRI, with both conventional and functional imaging, is the modality of choice for evaluating uterine mesenchymal tumors, especially in differentiating uterine leiomyosarcoma from leiomyoma through validated diagnostic algorithms. MRI is sometimes helpful in differentiating high-grade stromal sarcoma from low-grade stromal sarcoma or differentiating endometrial stromal sarcoma from endometrial carcinoma. However, imaging remains nonspecific for evaluating rarer neoplasms, such as uterine tumor resembling ovarian sex cord tumor or perivascular epithelioid cell tumor, primarily because of the small number and power of relevant studies.

SUMMARY

Through advances in MRI techniques and novel investigational imaging adjuncts, such as machine learning and texture analysis, imaging differentiation of malignant from benign uterine mesenchymal tumors has improved and could help reduce morbidity relating to misdiagnosis or diagnostic delays.

Rhabdomyosarcoma of the Cervix in a Post-Menopausal Woman-An Unparalleled Phenomenon

Rhabdomyosarcoma of the cervix is a soft tissue sarcoma that usually occurs in young women. It is very rare in adulthood. We discuss symptoms, the process of diagnosis of rhabdomyosarcoma embryonale of the cervix in a 61-year-old women and differences in treatment dependent on patient’s age. A 61-year-old woman with symptoms such as palpable mass in the external cervical opening and post-menopausal hemorrhaging was admitted to the oncology ward where excision of the polyp was performed. Embryonal rhabdomyosarcoma (ERMS) was diagnosed by histopathological examination of obtained tissues. The diagnosis was complemented by chest computed tomography and pelvis magnetic resonance imaging to exclude metastases. A Wertheim–Meigs operation and excision of the ovaries, the fallopian tubes and the surrounding tissue was performed in the course of treatment. In the patient’s follow-up of 25 months to date, there have been no signs of recurrence or symptoms connected to ERMS. Based on the therapeutic outcome, the decision to limit the treatment to a surgical resection was adequate for a post-menopausal patient. Because of the rarity of ERMS in the post-menopausal age, we think that the patient should be carefully followed up to further examine this issue and develop diagnostic and treatment guidelines.

CT, MRI, and FDG-PET imaging findings of low-grade extrauterine endometrial stromal sarcoma arising from the mesentery: A case report

Endometrial stromal sarcoma is a rare uterine mesenchymal neoplasm, and extrauterine endometrial stromal sarcoma is even rarer, with a limited number of case reports. In the present report, we present a case of low-grade extrauterine endometrial stromal sarcoma originating from the mesentery in a 49-year-old woman, without endometrial stromal sarcoma in the uterus or evidence of endometriosis. The tumor was diagnosed using recombination of the JAZF1 gene by fluorescence in situ hybridization. Computed tomography, magnetic resonance imaging, and 18F-fluorodeoxyglucose positron emission tomography/computed tomography showed a 13 cm, primarily polycystic, mass containing a contrast-enhancing solid component with restricted diffusion and mild 18F-fluorodeoxyglucose uptake. A large cystic component may be a characteristic feature of extrauterine endometrial stromal sarcoma, given the low pressure from the surrounding tissues.

Diagnostic interpretation of non-contrast qualitative MR imaging features for characterisation of uterine leiomyosarcoma

OBJECTIVE

To assess the value of non-contrast MRI features for characterisation of uterine leiomyosarcoma (LMS) and differentiation from atypical benign leiomyomas.

METHODS

This study included 57 atypical leiomyomas and 16 LMS which were referred pre-operatively for management review to the specialist gynaeoncology multidisciplinary team meeting. Non-contrast MRIs were retrospectively reviewed by five independent readers (three senior, two junior) and a 5-level Likert score (1-low/5-high) was assigned to each mass for likelihood of LMS. Evaluation of qualitative and quantitative MRI features was done using uni- and multivariable regression analysis. Inter-reader reliability for the assessment of MRI features was calculated by using Cohen's κ values.

RESULTS

In the univariate analysis, interruption of the endometrial interface and irregular tumour shape had the highest odds ratios (ORs) (64.00, p < 0.001 and 12.00, p = 0.002, respectively) for prediction of LMS. Likert score of the mass was significant in prediction (OR, 3.14; p < 0.001) with excellent reliability between readers (ICC 0.86; 95% CI, 0.76-0.92). The post-menopausal status, interruption of endometrial interface and thickened endometrial stripe were the most predictive independent variables in multivariable estimation of the risk of leiomyosarcoma with an accuracy of 0.88 (95%CI, 0.78-0.94).

CONCLUSION

At any level of expertise as a radiologist reader, the loss of the normal endometrial stripe (either thickened or not seen) in a post-menopausal patient with a myometrial mass was highly likely to be LMS.

ADVANCES IN KNOWLEDGE

This study demonstrates the potential utility of non-contrast MRI features in characterisation of LMS over atypical leiomyomas, and therefore influence on optimal management of these cases.

Vaginal Low-Grade Endometrial Stromal Sarcoma: An Extremely Rare Case Report and Review of the Literature

Endometrial stromal sarcoma (ESS) is a malignant tumor of the uterus that has been described as the second most common malignant uterine mesenchymal tumor. Primary extrauterine ESS (EESS) is an extremely uncommon occurrence. We hereby report a new bona fide case of low-grade EESS in a 74-yr-old woman arising in the vagina, presenting as a polypoid mass associated with irregular vaginal bleeding. On examination, a 6×2×2 cm polypoid mass was found in the left vaginal wall. Consequently, the patient underwent partial vaginectomy and repair. No ESS or endometriotic lesion was found in the endometrium and bilateral adnexa. The diagnosis of ESS performed by typical pathologic and immunohistochemical evaluation was as follows: beta-catenin (+++), estrogen receptor (+++), progesterone receptor (++), vimentin (++), and uniformly negative for CD10, EMA, CD31, CD34, CD117,CD99, SMA, desmin, h-caldesmon, S-100, MelanA, and HMB45. She has remained disease free with no signs or symptoms of recurrent or advanced disease for 46 mo. Although CD10 is the most useful immunohistochemical marker for the diagnosis of this tumor, negative CD10 staining can be encountered with underfixation. Therefore, it is important to use a panel of immunostains that includes CD10, beta-catenin, and smooth muscle markers. The present study describes the clinical and pathologic features of low-grade EESS through a case report and literature review. To the best of our knowledge, this is the eighth report of EESS arising from the vagina.

Uterine Fibroid in a 16-Year-Old Adolescent Managed with a Fertility-Sparing Approach: A Case Report and Review of the Literature

BACKGROUND

Uterine fibroids are the most common benign tumor of the uterus in adult women. However, it is exceedingly rare in adolescents.

CASE

A 16-year-old girl presented with severe anemia and abnormal uterine bleeding. MRI of the pelvis demonstrated a 9-cm mass within the uterus concerning for leiomyoma or leiomyosarcoma. A fertility preserving myomectomy led to the final diagnosis of a benign uterine fibroid.

SUMMARY AND CONCLUSION

Despite the rare incidence of leiomyomas in adolescents, it is imperative that it is included in the differential diagnosis when young women present with abnormal uterine bleeding. A less common diagnosis to consider is leiomyosarcoma; however, this is histologically diagnosed. Thus, a fertility-preserving myomectomy permits for a diagnostic opportunity to rule out a potential malignancy.

Artificial intelligence: A rapid case for advancement in the personalization of Gynaecology/Obstetric and Mental Health care

To evaluate and holistically treat the mental health sequelae and potential psychiatric comorbidities associated with obstetric and gynaecological conditions, it is important to optimize patient care, ensure efficient use of limited resources and improve health-economic models. Artificial intelligence applications could assist in achieving the above. The World Health Organization and global healthcare systems have already recognized the use of artificial intelligence technologies to address 'system gaps' and automate some of the more cumbersome tasks to optimize clinical services and reduce health inequalities. Currently, both mental health and obstetric and gynaecological services independently use artificial intelligence applications. Thus, suitable solutions are shared between mental health and obstetric and gynaecological clinical practices, independent of one another. Although, to address complexities with some patients who may have often interchanging sequelae with mental health and obstetric and gynaecological illnesses, 'holistically' developed artificial intelligence applications could be useful. Therefore, we present a rapid review to understand the currently available artificial intelligence applications and research into multi-morbid conditions, including clinical trial-based validations. Most artificial intelligence applications are intrinsically data-driven tools, and their validation in healthcare can be challenging as they require large-scale clinical trials. Furthermore, most artificial intelligence applications use rate-limiting mock data sets, which restrict their applicability to a clinical population. Some researchers may fail to recognize the randomness in the data generating processes in clinical care from a statistical perspective with a potentially minimal representation of a population, limiting their applicability within a real-world setting. However, novel, innovative trial designs could pave the way to generate better data sets that are generalizable to the entire global population. A collaboration between artificial intelligence and statistical models could be developed and deployed with algorithmic and domain interpretability to achieve this. In addition, acquiring big data sets is vital to ensure these artificial intelligence applications provide the highest accuracy within a real-world setting, especially when used as part of a clinical diagnosis or treatment.

MRI-based pictorial review of the FIGO classification system for uterine fibroids

Uterine fibroids are the most common gynecologic neoplasm and contribute to significant morbidity, particularly when submucosal in location or large enough to cause bulk symptoms. Correctly classifying fibroids is essential for treatment planning and prevention of complications. Ultrasound is the first-line imaging modality for characterizing uterine fibroids. However, MRI allows for high-resolution, multiplanar visualization of leiomyomata that affords a more accurate assessment than ultrasound, particularly when fibroids are numerous. The FIGO system was developed in order to more uniformly and consistently describe and classify uterine fibroids. In this article, we review the MRI appearance of each of the FIGO classification types, detailing key features to report. Additionally, we present a proposed template for structured reporting of uterine fibroids based on the FIGO classification system.

A Giant Leiomyoma with Massive Cystic Hydropic Degeneration Mimicking an Aggressive Neoplasm: A Challenging Case with a Literature Review

Patient: Female, 32-year-old

Final Diagnosis: Leiomyoma with massive cystic hydropic degeneration

Symptoms: Abdominal distension • abdominopelvic mass • pelvic pain • urinary frequency

Medication: —

Clinical Procedure: Surgery

Specialty: Obstetrics and Gynecology • Pathology • Surgery

Molecular differential analysis of uterine leiomyomas and leiomyosarcomas through weighted gene network and pathway tracing approaches

Uterine smooth muscular neoplastic growths like benign leiomyomas (UL) and metastatic leiomyosarcomas (ULMS) share similar clinical symptoms, radiological and histological appearances making their clinical distinction a difficult task. Therefore, the objective of this study is to identify key genes and pathways involved in transformation of UL to ULMS through molecular differential analysis. Global gene expression profiles of 25 ULMS, 25 UL, and 29 myometrium (Myo) tissues generated on Affymetrix U133A 2.0 human genome microarrays were analyzed by deploying robust statistical, molecular interaction network, and pathway enrichment methods. The comparison of expression signals across Myo vs UL, Myo vs ULMS, and UL vs ULMS groups identified 249, 1037, and 716 significantly expressed genes, respectively (p ≤ 0.05). The analysis of 249 DEGs from Myo vs UL confirms multistage dysregulation of various key pathways in extracellular matrix, collagen, cell contact inhibition, and cytokine receptors transform normal myometrial cells to benign leiomyomas (p value ≤ 0.01). The 716 DEGs between UL vs ULMS were found to affect cell cycle, cell division related Rho GTPases and PI3K signaling pathways triggering uncontrolled growth and metastasis of tumor cells (p value ≤ 0.01). Integration of gene networking data, with additional parameters like estimation of mutation burden of tumors and cancer driver gene identification, has led to the finding of 4 hubs (JUN, VCAN, TOP2A, and COL1A1) and 8 bottleneck genes (PIK3R1, MYH11, KDR, ESR1, WT1, CCND1, EZH2, and CDKN2A), which showed a clear distinction in their distribution pattern among leiomyomas and leiomyosarcomas. This study provides vital clues for molecular distinction of UL and ULMS which could further assist in identification of specific diagnostic markers and therapeutic targets.Abbreviations UL: Uterine Leiomyomas; ULMS: Uterine Leiomyosarcoma; Myo: Myometrium; DEGs: Differential Expressed Genes; RMA: Robust Multiarray Average; DC: Degree of Centrality; BC: Betweenness of Centrality; CGC: Cancer Gene Census; FDR: False Discovery Rate; TCGA: Cancer Genome Atlas; BP: Biological Process; CC: Cellular Components; MF: Molecular Function; PPI: Protein-Protein Interaction.

Multiparametric MR evaluation of uterine leiomyosarcoma and STUMP versus leiomyoma in symptomatic women planned for high frequency focussed ultrasound: accuracy of imaging parameters and interobserver agreement for identification of malignancy

OBJECTIVE

To assess accuracy of and interobserver agreement on multiparametric MR findings to distinguish uterine leiomyoma (LM) from uterine leiomyosarcoma (LMS) and soft tissue tumour of unknown malignant potential.

METHODS

Inclusion criteria: All females over 18 years with least one uterine mass measuring 5 cm or more in at least one of the three standard orthogonal dimensions on MR with histopathological confirmation of LM, LMS, or soft tissue tumour of unknown malignant potential (STUMP) in the 3 months following MR. Patients with LMS were drawn from a larger cohort being assessed for MR-guided focussed ultrasound (MRgFUS) suitability. Image evaluation: Assessed variables were: lesion margin, margin definition, T2 signal homogeneity, >50% of lesion with T2 signal brighter than myometrium, haemorrhage, restricted diffusion, contrast enhancement (CE), CE pattern, local lymphadenopathy and ascites.

RESULTS

32 LM, 10 LMS and 1 STUMP were evaluated. Ill-defined (p-value = 0.0003-0.0004) or irregular (p = 0.003-0.004) lesion margin, T2 hyperintensity >50% (p = 0.001-0.004), and peripheral CE (p = 0.02-0.05) were significantly more common in LMS/STUMP than LM for both radiologists. 10/11 (Reader 2) and 11/11 (Reader 1) LMS/STUMP displayed restricted diffusion but so did 63-80% of LM. Agreement was greatest for margin characteristics (κ = 0.73-0.81).

CONCLUSION

Irregular/ill-defined lesion margin best distinguished LMS/STUMP from LM with good interrater reliability.

ADVANCES IN KNOWLEDGE

Assessment of agreement regarding MR parameters distinguishing LM from LMS and STUMP has not previously been undertaken in a cohort including a large number of patients with LMS. This will help inform evaluation of females considering minimally invasive LM treatment.

A combined radiomics and clinical variables model for prediction of malignancy in T2 hyperintense uterine mesenchymal tumors on MRI

OBJECTIVE

This study aims to develop a machine learning model for prediction of malignancy in T2 hyperintense mesenchymal uterine tumors based on T2-weighted image (T2WI) features and clinical information.

METHODS

This retrospective study included 134 patients with T2 hyperintense uterine mesenchymal tumors (104 patients in training cohort and 30 in testing cohort). A total of 960 radiomics features were initially computed and extracted from each 3D segmented tumor depicting on T2WI. The support vector machine (SVM) classifier was applied to build computer-aided diagnosis (CAD) models by using selected clinical and radiomics features, respectively. Finally, an observer study was conducted by comparing with two radiologists to evaluate the diagnostic performance. The area under the receiver operating characteristic (ROC) curve (AUC) was computed to assess the performance of each model.

RESULTS

Comparing with the T2WI-based radiomics model (AUC: 0.76 ± 0.09) and the clinical model (AUC: 0.79 ± 0.09), the combined model significantly improved the AUC value to 0.91 ± 0.05 (p < 0.05). The clinical-radiomics combined model yielded equivalent or higher performance than two radiologists (AUC: 0.78 vs. 0.91, p = 0.03; 0.90 vs.0.91, p = 0.13). There was a significant difference between the AUC values of two radiologists (p < 0.05).

CONCLUSIONS

It is feasible to predict malignancy risk of T2 hyperintense uterine mesenchymal tumors by combining clinical variables and T2WI-based radiomics features. Machine learning-based classification model may be useful to assist radiologists in decision-making.

KEY POINTS

• Radiomics approach has the potential to distinguish between benign and malignant mesenchymal uterine tumors. • T2WI-based radiomics analysis combined with clinical variables performed well in predicting malignancy risk of T2 hyperintense uterine mesenchymal tumors. • Machine learning-based classification model may be useful to assist radiologists in characterization of a T2 hyperintense uterine mesenchymal tumor.

MRI Findings and Differential Diagnosis of Benign and Malignant Tumors of the Uterine Corpus

자궁은 크게 자궁체부와 자궁경부로 나뉜다. 이 중 자궁내막과 자궁근층으로 이루어진 자궁체부에는 양성에서 악성 종양까지 다양한 질환이 발생한다. 비침습적인 일차적 평가로 초음파와 컴퓨터단층촬영이 있으나 비특이적인 영상 소견으로 감별이 어려운 경우가 있다. 반면높은 해상도와 병리학적 특성 파악이 가능한 자기공명영상은 병변의 위치 확인뿐만 아니라 조직학적 특징, 그 리고 악성 종양의 병기 설정에도 도움을 준다. 이 종설에서는 영상의학과의사들이 알아야 할 자궁체부에서 볼 수 있는 다양한 양성과 악성 종양들의 특징적인 자기공명영상 소견들과 이들의 감별점에 대해 정리했다.

The Risk of Uterine Malignancy in a Population Being Evaluated for Uterine Fibroid Embolization

OBJECTIVE

The aim of the study was to determine the frequency of uterine malignancy in patients evaluated for uterine fibroid embolization (UFE) and the role of magnetic resonance imaging in triage.

METHODS

Records and imaging studies of 864 UFE consult patients were reviewed for MRI findings suggestive of fibroid malignancy. Pathology was obtained for cases with suspicious baseline MRI's, and the most atypical mass was reanalyzed by an experienced radiologist, blinded to the pathological findings.

RESULTS

Twenty one of 864 patients had baseline MRI findings concerning for malignancy at consultation and 17 had complete records. Re-evaluation suggested that 5 were malignant. Three were confirmed malignant (0.35%). One malignancy among the 843 without suspicious baseline MRI findings was missed at consultation.

CONCLUSIONS

In our UFE population, uterine malignancy is rare (4/864, 0.46%), and MRI detected the majority, 3 (75%) of 4 before UFE. The observed prevalence of any malignancy was 0.35%, congruent with current Federal Drug Administration estimates.

[Cytogenic chorion sarcoma: clinical and radiological features]

Les sarcomes du stroma endométrial sont des tumeurs rares de la femme jeune. Le diagnostic est posé le plus souvent en post opératoire. Nous rapportons le cas d´une jeune fille de 22 ans admise dans un tableau de douleurs pelviennes avec métrorragies. L´imagerie a mis en évidence une masse utérine hétérogène. Le diagnostic de fibrome atypique était évoqué. Le diagnostic final est apporté par l´examen anatomopathologique de la pièce opératoire.

Endometrial stromal sarcoma extending to the pulmonary artery: A rare case report

BACKGROUND

Endometrial stromal sarcoma (ESS) is a rare malignant mesenchymal tumor. Early in the disease, the findings on magnetic resonance imaging are similar to those of leiomyoma. When the lesion involves both vascular and cardiac tissue, it might be misdiagnosed as intravenous leiomyomatosis, which is not common in the clinic.

CASE SUMMARY

We present the case of a 34-year-old female patient with tumor embolus, which extended from the right iliac vein and ovarian vein to the inferior vena cava (IVC), and then to the right atrium and right ventricle, and finally protruded into the pulmonary artery. The patient had undergone a hystero-myomectomy 7 years previously. Based on the findings of the imaging examinations, the diagnosis of intravenous leiomyomatosis was considered preoperatively. The patient then underwent complete resection of the endovascular and intracardiac tumor embolus. The postoperative pathology results confirmed metastatic ESS with endovascular and intracardiac involvement. The patient was discharged from hospital in good condition, and there was no sign of recurrence 5 mo after the operation.

CONCLUSION

Extending from the iliac vein and ovarian vein to the IVC, this metastatic ESS invaded both vascular and cardiac tissues. For patients with ESS involving vascular and cardiac tissues, pathological examinations are essential for the differential diagnosis, such as intravenous leiomyomatosis. In addition, due to the high recurrence rate of ESS, long-term and close follow-up evaluation is necessary.