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A monocentric prospective observational study aimed at assessing the accuracy of a diagnostic algorithm to pre-operatively identify uterine sarcomas..
Primary Aim:The primary outcome is to evaluate the accuracy (sensitivity/specificity) of "Positive Orange Criteria" category in predicting uterine sarcoma and STUMP in the population of patients with > 3 cm myometrial lesions.
Full description
INTRODUCTION
Uterine sarcomas are rare malignant tumors arising from the mesenchymal tissues of the uterus including the endometrial stroma, uterine muscle and connective tissue. They represent 1% of female genital tract malignancies and 3-7% of all uterine malignances with a worldwide annual incidence of 1.55-1.95 per 100.000 women. Malignant mesenchimal tumors include: uterine leiomyosarcoma (LMS), endometrial stromal sarcoma (ESS), and undifferentiated uterine sarcoma (UUS), and other (eg adenosarcoma, epithelioid sarcoma, STUMP). The current WHO classification also includes a smooth muscle tumor with features that preclude an unequivocal diagnosis of leiomyosarcoma, but do not fulfill the criteria for leiomyoma, or its variants, therefore is defined as smooth uterine muscle of uncertain malignant potential (STUMP). While most STUMP patients have good outcomes, unexpected aggressive behavior can be seen in some of the tumors.
The mean age at diagnosis is approximately 60 years old. However, uterine sarcomas have been diagnosed in women as young as 20 years old . The prevalence of sarcoma in women undergoing hysterectomy or myomectomy for a myometrial mass, is approximately 0.001 percent (1 in 1000) (Parker 94), with a range from 0.005 (1 in 2000) to 0.28 percent (1 in 352). , The discrimination between benign and malignant myometrial lesions is clinically relevant to plan the optimal management (surgery versus medical treatment) and to define the most appropriate surgical approach.
However, the diagnosis of uterine sarcomas or STUMP is a challenge and no validated clinical or radiological criteria can accurately distinguish benign from malignant myometrial tumors.
In particular, data on the ultrasound features of uterine sarcomas are scarce and they are mainly based on retrospective case series. The role of CT(Computed Tomography) has generally been limited to identify extrauterine disease, including local spread within the pelvis and metastatic disease. MRI (Magnetic Resonance Imaging) )represents an accurate diagnostic imaging modality in the assessment of gynecological pathologies with high soft tissue contrast, large field-of-view and multiplanar imaging capabilities; however, no accurate diagnostic criteria have been validated to discriminate between benign and malignant myometrial lesions.
To the best of our knowledge, no large prospective studies have been carried on to assess a diagnostic algorithm to predict the malignant histology of myometrial lesions.
PURPOSES AND OBJECTIVES OF THE CLINICAL TRIAL
Primary aim:
The primary outcome is to evaluate the accuracy (sensitivity/specificity) of "Positive Orange Criteria" category in predicting uterine sarcoma and STUMP in the population of patients with > 3 cm myometrial lesions.
Secondary aims:
EXPERIMENTAL DESIGN
STUDY POPULATION SAMPLE SIZE
This study is dimensioned on the hypothesis that "Positive Orange criteria" category has a sensitivity of at least 90% in identify patients with uterine sarcoma and STUMP among patients with at least one >3 cm myometrial lesion, against a null hypothesis of 65% [143]. Considering the prevalence of uterine sarcoma in this population 1.55%, as per our previous experience, to demonstrate an increase in sensitivity of 25% with a 90% power and bilateral alpha error=5%, 2000 patients (with at least one ≥ 3 cm myometrial lesion) with 30 sarcomas are needed. Considering a 15% of drop-out (patients evaluated but not completing the observation), 2353 patients will be enrolled. With this number of patients, the study will have 100% power in demonstrating a similar increase in the specificity of the "Positive Orange criteria" category with an alpha error=0.05. (PASS v11)
IDENTIFICATION PARAMETERS
A myometrial lesion with the largest diameter >3 cm represents the target lesion. In case of multiple myometrial lesions with similar ultrasound morphology, the largest tumor will be selected as target lesion. In case of multiple myometrial lesions with different ultrasound morphology, the "target lesion" will be identified by the ultrasound examiner on the basis of the parameters subjectively considered suspicious for malignancy.
WITHDRAWAL PROCEDURES
The patient may choose not to take part in this study. The patient may choose to have US revaluation or surgery without enrolling in this study. The patient may choose to receive other therapy, if available. In all cases, the woman receive appropriate medical care, including treatment for bleeding, pain or other symptoms.
SUBJECT TREATMENT
All women enrolled in the study will be managed according to the following algorithm (Figure 1. Clinical and Diagnostic Algorithm).
Patients will be assessed by a Green Card (Figure 2. Green Card) to check the eventual presence of at least one of the following clinical and/or ultrasound characteristics:
Maximum size of the lesion ≥ 5cm;
Symptoms (abdominal and/or pelvic pain, sensation of pressure, abdominal distension, infertility (>12 months), two or more abortions;
Largest diameter rapid growth (Growth >30% per year);
Irregular cystic areas;
Color Score 4.
Anamnestic and clinical characteristics:
Ultrasound characteristics:
Maximum size of the lesion ≥ 8cm
Largest diameter rapid growth (Growth >30% per year)
Irregular margins of the lesion
Presence of irregular cystic areas
Absence of acoustic shadow
Color Score 4
"Cooked" aspect
Enrollment
Sex
Volunteers
Inclusion criteria
Exclusion criteria
2,353 participants in 3 patient groups
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Central trial contact
Francesca Ciccarone, M.D.
Data sourced from clinicaltrials.gov
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