Uterine Sarcoma or Degenerating Fibroid? Validating the New Consensus Magnetic Resonance Imaging Algorithm for Evaluating Atypical Uterine Masses.

IF 1 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Computer Assisted Tomography Pub Date : 2025-01-01 Epub Date: 2024-10-04 DOI:10.1097/RCT.0000000000001656
Jeanne M Horowitz, Camila Lopes Vendrami, Yuri S Velichko, Aja I Green-Walker, Linda C Kelahan, Anugayathri Jawahar, Emma L Barber, Elisheva D Shanes, Frank H Miller, Hannah S Recht
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Abstract

Objective: The aim of the study is to assess the validity of a recently published consensus magnetic resonance imaging (MRI) diagnostic algorithm for differentiating degenerating leiomyomas from uterine sarcomas and other atypical appearing uterine malignancies.

Methods: Atypical uterine masses on pelvic MRI were identified using a radiology report search engine and teaching files with the keywords "atypical leiomyoma," "atypical fibroid," and "sarcoma." All cases were pathology-proven. Two radiologists blinded to clinical, surgical, and pathologic reports retrospectively and independently reviewed 40 pelvic MRI examinations dated 1/2007-9/2022 to determine whether the masses appeared benign or malignant, using the 2022 consensus atypical uterine mass flow chart. Imaging features assessed included intermediate/high signal intensity (SI) at T2-weighted imaging, high diffusion weighted imaging SI (equal or higher SI than endometrium or lymph nodes on high b value imaging), apparent diffusion coefficient (ADC) value ≤0.905 × 10 -3 mm 2 /s, peritoneal metastases, and abnormal lymph nodes.

Results: Among the 40 atypical uterine mass cases reviewed, 24 masses were benign (22 leiomyomas, 1 adenomyoma, and 1 borderline ovarian tumor) and 16 masses were malignant (6 leiomyosarcomas, 6 carcinosarcomas, 2 endometrial stromal sarcomas, 1 high-grade adenosarcoma, and 1 low-grade uterine sarcoma). Sensitivity, specificity, positive predictive value, and negative predictive value of whether a mass was benign or malignant were 75%, 95.8%, 92.3%, and 85% for reader 1, and 81.2%, 91.7%, 86.7%, and 88% for reader 2, respectively. Interrater agreement was strong, with a kappa statistic of 0.89. When excluding nonleiomyosarcoma uterine malignancies, sensitivity and negative predictive value improved to 100%.

Conclusions: The new consensus pelvic MRI algorithm for evaluating atypical uterine masses has good specificity, sensitivity, positive predictive value, and negative predictive value for determining malignancy, particularly for uterine sarcomas that are leiomyosarcomas. However, if ADC value is near but not below 0.905 × 10 -3 mm 2 /s, the mass may still be malignant, especially if a b value lower than 1000 is used. If the atypical uterine mass is predominantly endometrial, morphological features on T2 and postgadolinium sequences should guide suspicion, as some atypical appearing nonleiomyosarcoma uterine malignancies may have an ADC value greater than 0.905 × 10 -3 mm 2 /s.

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子宫肉瘤还是变性子宫肌瘤?验证评估非典型子宫肿块的磁共振成像新共识算法
研究目的本研究旨在评估最近发表的磁共振成像(MRI)诊断算法共识的有效性,该算法用于区分变性子宫肌瘤和子宫肉瘤以及其他非典型子宫恶性肿瘤:使用放射学报告搜索引擎和教学文件,以 "非典型子宫肌瘤"、"非典型子宫肌瘤 "和 "子宫肉瘤 "为关键词,识别盆腔核磁共振成像上的非典型子宫肿块。所有病例均经病理证实。两位对临床、手术和病理报告视而不见的放射科医生回顾性地独立审查了日期为2007年1月至2022年9月的40例盆腔磁共振成像检查,并使用2022年非典型子宫肿块共识流程图确定肿块是良性还是恶性。评估的成像特征包括T2加权成像的中/高信号强度(SI)、高弥散加权成像SI(高b值成像的SI等于或高于子宫内膜或淋巴结)、表观弥散系数(ADC)值≤0.905×10-3 mm2/s、腹膜转移和异常淋巴结:在复查的40个非典型子宫肿块病例中,24个肿块为良性(22个子宫肌瘤、1个腺肌瘤和1个卵巢边界瘤),16个肿块为恶性(6个子宫肌瘤、6个癌肉瘤、2个子宫内膜间质肉瘤、1个高级别腺肉瘤和1个低级别子宫肉瘤)。读者 1 对肿块是良性还是恶性的敏感性、特异性、阳性预测值和阴性预测值分别为 75%、95.8%、92.3% 和 85%,读者 2 分别为 81.2%、91.7%、86.7% 和 88%。判读者之间的一致性很高,卡帕统计量为 0.89。当排除非左肌肉瘤子宫恶性肿瘤时,灵敏度和阴性预测值均提高到 100%:用于评估非典型子宫肿块的新共识盆腔 MRI 算法在确定恶性肿瘤方面具有良好的特异性、灵敏度、阳性预测值和阴性预测值,尤其是对于子宫肉瘤中的亮肌肉瘤。不过,如果 ADC 值接近但不低于 0.905 × 10-3 mm2/s,肿块仍有可能是恶性的,尤其是使用低于 1000 的 b 值时。如果不典型子宫肿块以子宫内膜为主,T2 和钆后序列的形态学特征应作为怀疑的依据,因为一些外观不典型的非 Leiomyosarcoma 子宫恶性肿瘤的 ADC 值可能大于 0.905 × 10-3 mm2/s。
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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
230
审稿时长
4-8 weeks
期刊介绍: The mission of Journal of Computer Assisted Tomography is to showcase the latest clinical and research developments in CT, MR, and closely related diagnostic techniques. We encourage submission of both original research and review articles that have immediate or promissory clinical applications. Topics of special interest include: 1) functional MR and CT of the brain and body; 2) advanced/innovative MRI techniques (diffusion, perfusion, rapid scanning); and 3) advanced/innovative CT techniques (perfusion, multi-energy, dose-reduction, and processing).
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