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Low-grade endometrial stromal sarcoma (LGESS) is a rare uterine malignancy that causes non-specific symptoms which presents more typically in younger women compared to other uterine sarcomas. Preoperative diagnosis of myometrial LGESS is challenging, as it is frequently mistaken for a benign uterine mass, such as a degenerating leiomyoma. Despite its rarity, the imaging findings of LGESS are highly variable, complicating the diagnostic process.

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Aims: Aberrantly expressed MPHOSPH9 has been reported to be associated with poor prognosis in many diseases. Previous study indicates that MPHOSPH9 is abnormally expressed in patients with uterine fibroids (UFs). This study focused on the possible prognostic value of MPHOSPH9 in UFs patients after high intensity focused ultrasound (HIFU) treatment.

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Objectives: To investigate uterine fibroid (UF)-associated imaging changes, and their prevalence, incidence and potential risk factors in the Chinese population.

Design: This was a retrospective observational study using health examination data.

Setting: A physical examination centre in Nanchong, China, between October 2017 and December 2020.

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Background: The diagnosis of rare uterine leiomyosarcoma (uLMS) remains a challenge given the high incidence rates of benign uterine tumors such as leiomyoma (LM). In the last decade, several clinical scores and blood serum markers have been proposed. The aim of this study is to validate and update the pLMS clinical scoring system, evaluating the accuracy of the scoring system by Zhang et al.

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Article Synopsis
  • Developed a nomogram to predict the effectiveness of high-intensity focused ultrasound (HIFU) for treating uterine fibroids by analyzing oxytocin levels and sonographic features of fibroids.
  • Conducted a retrospective study of 60 patients, utilizing logistic regression to identify key predictive factors like myoma type, blood flow, and oxytocin classification, resulting in a model assessed using R language.
  • The model demonstrated strong predictive ability with an area under the curve of 0.887 and good calibration, suggesting it can effectively guide clinicians in selecting appropriate patients for HIFU treatment.
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