Preoperative clinical characteristics between uterine sarcoma and leiomyoma in patients with uterine mass, a case-control study

A clinical ultrasound algorithm to identify uterine sarcoma and smooth muscle tumors of uncertain malignant potential in patients with myometrial lesions: the MYometrial Lesion UltrasouNd And mRi study

BACKGROUND

Differential diagnosis between benign uterine smooth muscle tumors and malignant counterpart is challenging.

OBJECTIVE

To evaluate the accuracy of a clinical and ultrasound based algorithm in predicting mesenchymal uterine malignancies, including smooth muscle tumors of uncertain malignant potential.

STUDY DESIGN

We report the 12-month follow-up of an observational, prospective, single-center study that included women with at least 1 myometrial lesion ≥3 cm on ultrasound examination. These patients were classified according to a 3-class diagnostic algorithm, using symptoms and ultrasound features. "White" patients underwent annual telephone follow-up for 2 years, "Green" patients underwent a clinical and ultrasound follow-up at 6, 12, and 24 months and "Orange" patients underwent surgery. We further developed a risk class system to stratify the malignancy risk.

RESULTS

Two thousand two hundred sixty-eight women were included and target lesion was classified as benign in 2158 (95.1%), as other malignancies in 58 (2.6%) an as mesenchymal uterine malignancies in 52 (2.3%) patients. At multivariable analysis, age (odds ratio 1.05 [95% confidence interval 1.03-1.07]), tumor diameter >8 cm (odds ratio 5.92 [95% confidence interval 2.87-12.24]), irregular margins (odds ratio 2.34 [95% confidence interval 1.09-4.98]), color score=4 (odds ratio 2.73 [95% confidence interval 1.28-5.82]), were identified as independent risk factors for malignancies, whereas acoustic shadow resulted in an independent protective factor (odds ratio 0.39 [95% confidence interval 0.19-0.82[). The model, which included age as a continuous variable and lesion diameter as a dichotomized variable (cut-off 81 mm), provided the best area under the curve (0.87 [95% confidence interval 0.82-0.91]). A risk class system was developed, and patients were classified as low-risk (predictive model value <0.39%: 0/606 malignancies, risk 0%), intermediate risk (predictive model value 0.40%-2.2%: 9/1093 malignancies, risk 0.8%), high risk (predictive model value ≥2.3%: 43/566 malignancies, risk 7.6%).

CONCLUSION

The preoperative 3-class diagnostic algorithm and risk class system can stratify women according to risk of malignancy. Our findings, if confirmed in a multicenter study, will permit differentiation between benign and mesenchymal uterine malignancies allowing a personalized clinical approach.

Preoperative identification from occult leiomyosarcomas in laparoscopic hysterectomy and laparoscopic myomectomy: accuracy of the ultrasound scoring system (PRESS-US)

PURPOSE

To assess the diagnostic performance and inter-observer agreement of a PREoperative sarcoma scoring based on ultrasound (PRESS-US) in differentiating uterine leiomyosarcoma (uLMS) from leiomyoma (LM).

METHODS

We conducted a retrospective evaluation of patients who underwent surgery and received standardized ultrasound examinations due to the presence of uterine myoma-like masses. Histological diagnosis was used as the reference standard. The masses were analyzed using morphological uterus sonographic assessment criteria, and the diagnostic accuracy of PRESS-US was evaluated using ROC curve analysis. Kappa (κ) statistics were used to assess the inter-observer agreement between a less experienced and an expert radiologist.

RESULTS

Among the 646 patients, 632 (97.8%) were diagnosed with LM, and 14 (2.2%) had uLMS. The malignancy rates for low-risk and high-risk patients were 0.35% and 13.48%, respectively. The optimal PRESS-US cutoff was 17.5, resulting in an AUC of 89.7% (95% CI, 0.79-1.00), with a sensitivity of 85.7% and a specificity of 87.8%. The inter-observer agreement between a less experienced and an expert radiologist was excellent (κ = 0.811, P < 0.001).

CONCLUSIONS

PRESS-US provides effective risk stratification for uLMS for radiologists with different levels of experience, with high reliability. Subgrouping high-risk patients helps in better risk stratification.

The Impact of Li-Fraumeni and Germline Retinoblastoma Mutations on Leiomyosarcoma Initiation, Outcomes, and Genetic Testing Recommendations

PURPOSE

Leiomyosarcomas (LMS) are clinically and molecularly heterogeneous, occurring mostly in sporadic but also syndromic settings. The role of pathogenic germline variants (PGV) as LMS drivers and their impact on outcomes remains uncertain.

EXPERIMENTAL DESIGN

We performed a comprehensive clinicopathologic and molecular analysis using a tumor-normal DNA next-generation sequencing assay (Memorial Sloan Kettering-Integrated Mutational Profiling of Actionable Cancer Targets) of germline-associated LMS compared with sporadic LMS.

RESULTS

Among 285 LMS [120 soft-tissue LMS (STLMS) and 165 uterine LMS (ULMS)] with germline testing, 78 (27%, 43 STLMS and 35 ULMS) cases harbored PGV, with 35/78 (45%) of PGV carriers showing biallelic inactivation of the corresponding gene in the tumor (26 STLMS and nine ULMS). The most frequent germline predispositions were TP53 (Li-Fraumeni syndrome; 17 patients, 16 in STLMS) and RB1 (retinoblastoma; 13 patients, 11 in STLMS). Germline TP53 and somatic RB1 alterations often co-occurred in the tumor andvice versa. Other biallelically inactivated PGV were enriched in DNA damage repair-related genes: CHEK2, MSH2, MSH6, RAD51D, BRCA2, and FANCA. Monoallelic PGV were mostly in ULMS and associated with co-occurring TP53 and RB1 somatic alterations. Patients with STLMS with biallelic but not monoallelic PGV were significantly younger than patients with sporadic STLMS (median ages 38 vs. 52 vs. 58 years). No differences in disease-specific or progression-free survival were observed in germline-associated versus sporadic LMS regardless of biallelic status.

CONCLUSIONS

Although patients with ULMS had a relatively low proportion of PGV, a high percentage of patients with STLMS with PGV had tumor biallelic status, indicating that PGV drive tumorigenesis in these individuals. These findings have significant implications for genetic testing recommendations.

High negative prediction for the Basel sarcoma score: Sonographic assessment of features suspicious of uterine sarcoma

INTRODUCTION

In the management of uterine myomas, laparoscopic surgery with morcellation enables a minimal invasive procedure. Cases of unsuspected uterine sarcoma dissemination have been reported and led to regulative restrictions. To help to distinguish preoperatively myomas from sarcomas, we assessed the value of six sonographic criteria (Basel Sarcoma Score, BSS) in a prospective outpatient cohort of consecutive patients with uterine masses.

MATERIAL AND METHODS

We prospectively evaluated all patients presenting with myoma-like masses planned for surgery with standardized ultrasound examination. BSS including the following criteria was investigated: rapid growth in past three months, high blood flow, atypical growth, irregular lining, central necrosis and oval solitary lesion. For each criterion, a score 0/1 was given. BSS (0-6) equals the sum of all given scores. Histological diagnosis was used as reference.

RESULTS

Among 545 patients, 522 had the final diagnosis of myoma, 16 had peritoneal masses with sarcomatous components (PMSC), and seven had other malignancies. Median BSS for PMSC was 2.5 (range: 0-4) vs 0 for myomas (range: 0-3). The most common sonographic criteria leading to a false positive score in myomas were rapid growth in past three months and high blood flow. For the detection of sarcomatous masses with BSS threshold of >1, sensitivity was 93.8%, specificity 97.9%, and positive predictive value (PPV) and negative predictive value (NPV) were 57.7% and 99.8%, respectively (AUC 0.95).

CONCLUSION

BSS can help distinguishing between myomas and sarcomatous masses, with high NPV. Caution is required when >1 criterion is present. As a simple tool, it could easily be integrated into routine myoma sonographic examination and help develop standardized assessment of uterine masses for better preoperative triage.

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.

How Frequently Benign Uterine Myomas Appear Suspicious for Sarcoma as Assessed by Transvaginal Ultrasound?

BACKGROUND

Uterine myomas may resemble uterine sarcomas in some cases. However, the rate of benign myomas appearing as sarcomas at an ultrasound examination is not known. The objective of this study is to determine the percentage of benign myomas that appear suspicious for uterine sarcoma on ultrasound examination. This is a prospective observational multicenter study (June 2019-December 2021) comprising a consecutive series of patients with histologically proven uterine myoma after hysterectomy or myomectomy who underwent transvaginal and/or transabdominal ultrasound prior to surgery. All ultrasound examinations were performed by expert examiners. MUSA criteria were used to describe the lesions (1). Suspicion of sarcoma was established when three or more sonographic features, described by Ludovisi et al. as "frequently seen in uterine sarcoma", were present (2). These features are no visible myometrium, irregular cystic areas, non-uniform echogenicity, irregular contour, "cooked" appearance, and a Doppler color score of 3-4. In addition, the examiners had to classify the lesion as suspicious based on her/his impression, independent of the number of features present. Eight hundred and ten women were included. The median maximum diameter of the myomas was 58.7 mm (range: 10.0-263.0 mm). Three hundred and forty-nine (43.1%) of the patients had more than one myoma. Using the criterion of >3 suspicious features, 40 (4.9%) of the myomas had suspicious appearance. By subjective impression, the examiners considered 40 (4.9%) cases suspicious. The cases were not exactly the same. We conclude that approximately 5% of benign uterine myomas may exhibit sonographic suspicion of sarcoma. Although it is a small percentage, it is not negligible.

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.