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The value of clinical parameters combined with magnetic resonance imaging (MRI) features for preoperatively distinguishing different subtypes of uterine sarcomas An observational study (STROBE compliant)

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机构: [1]Kunming Univ Sci & Technol, Dept MRI, Peoples Hosp Yunnan Prov 1, Affiliated Hosp, Kunming, Yunnan, Peoples R China [2]Chongqing Med Univ, Affiliated Hosp 1, Dept Radiol, Chongqing, Peoples R China
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关键词: apparent diffusion coefficient carcinosarcoma endometrial stromal sarcoma magnetic resonance imaging uterine leiomyosarcoma uterine sarcoma

摘要:
To investigate clinical parameters combined with magnetic resonance imaging (MRI) features including apparent diffusion coefficient (ADC) values in preoperative identification of different subtypes of uterine sarcomas including uterine leiomyosarcoma (LMS), endometrial stromal sarcoma (ESS), and carcinosarcoma (CS). Data from 71 patients with uterine sarcoma confirmed by surgery and pathology were collected. The clinical characteristics, conventional MRI features, mean ADC values, minimum ADC values, and lesion-muscle ADC ratio (rADC) values were compared with different subtypes of uterine sarcomas. Age, clinical manifestation, tumor location, shape, and T1-weighted image (T1WI) signals were significantly different between CS and LMS or ESS (allP < .01). The presence of band sign was significantly higher in ESS than in LMS or CS (bothP < .001). The cystic change or necrosis and enhancement could help to differentiate LMS from ESS or CS (bothP < .02). Significant differences were observed in T2-weighted image (T2WI) signals of the solid components of LMS compared with CS (P < .001). There was a significant difference between ESS and CS in the rADC values (P = .004). Clinical parameters combined with MRI features could help narrowing preoperative diagnostic possibilities in distinguishing subtypes of uterine sarcomas. These findings may be beneficial in helping guide operative decisions.

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出版当年[2020]版:
大类 | 4 区 医学
小类 | 4 区 医学:内科
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 医学:内科
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出版当年[2019]版:
Q3 MEDICINE, GENERAL & INTERNAL
最新[2023]版:
Q2 MEDICINE, GENERAL & INTERNAL

影响因子: 最新[2023版] 最新五年平均 出版当年[2019版] 出版当年五年平均 出版前一年[2018版] 出版后一年[2020版]

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第一作者机构: [1]Kunming Univ Sci & Technol, Dept MRI, Peoples Hosp Yunnan Prov 1, Affiliated Hosp, Kunming, Yunnan, Peoples R China
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通讯机构: [2]Chongqing Med Univ, Affiliated Hosp 1, Dept Radiol, Chongqing, Peoples R China [*1]No. 1 Youyi Road, Yuanjiagang, Yuzhong District, Chongqing 400016, China
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