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首页> 外文期刊>Sarcoma >How Effective Are Noninvasive Tests for Diagnosing Malignant Peripheral Nerve Sheath Tumors in Patients with Neurofibromatosis Type 1? Diagnosing MPNST in NF1 Patients
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How Effective Are Noninvasive Tests for Diagnosing Malignant Peripheral Nerve Sheath Tumors in Patients with Neurofibromatosis Type 1? Diagnosing MPNST in NF1 Patients

机译:非侵入性试验是如何诊断神经纤维瘤病患者1型患者的恶性周围神经鞘瘤的效果是有效的?在NF1患者中诊断MPNST

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Background. Distinguishing between benign and malignant peripheral nerve sheath tumors (MPNSTs) in neurofibromatosis 1 (NF1) patients prior to excision can be challenging. How can MPNST be most accurately diagnosed using clinical symptoms, magnetic resonance imaging (MRI) findings (tumor size, depth, and necrosis), positron emission tomography (PET) measures (SUVpeak, SUVmax, SUVmax tumor/SUVmean liver, and qualitative scale), and combinations of the above? Methods. All NF1 patients who underwent PET imaging at our institution (January 1, 2007–December 31, 2016) were included. Medical records were reviewed for clinical findings; MR images and PET images were interpreted by two fellowship-trained musculoskeletal and nuclear medicine radiologists, respectively. Receiver operating characteristic (ROC) curves were created for each PET measurement; the area under the curve (AUC) and thresholds for diagnosing malignancy were calculated. Logistic regression determined significant predictors of malignancy. Results. Our population of 41 patients contained 34 benign and 36 malignant tumors. Clinical findings did not reliably predict MPNST. Tumor depth below fascia was highly sensitive; larger tumors were more likely to be malignant but without a useful cutoff for diagnosis. Necrosis on MRI was highly accurate and was the only significant variable in the regression model. PET measures were highly accurate, with AUCs comparable and cutoff points consistent with prior studies. A diagnostic algorithm was created using MRI and PET findings. Conclusions. MRI and PET were more effective at diagnosing MPNST than clinical features. We created an algorithm for preoperative evaluation of peripheral nerve sheath tumors in NF1 patients, for which additional validation will be indicated.
机译:背景。在切除前的神经纤维瘤病1(NF1)患者中的良性和恶性周围神经鞘瘤(MPNST)的区别可能是挑战性的。如何使用临床症状,磁共振成像(MRI)调查结果(肿瘤大小,深度和坏死),正电子排放断层扫描(PET)措施(Suvpeak,Suvmax,Suvmax肿瘤/ Suvmean肝脏和定性尺度),MPNST和上面的组合?方法。所有NF1患者在我们的机构(2007年1月1日 - 2016年1月1日)中介绍过宠物成像。临床调查结果审查了医疗记录; MR Images和PET图像分别由两位奖学金训练的肌肉骨骼和核医学放射科医师解释。为每个PET测量创建接收器操作特征(ROC)曲线;计算曲线(AUC)下的区域和用于诊断恶性肿瘤的阈值。 Logistic回归确定了恶性肿瘤的重要预测因子。结果。我们41名患者的人口含有34个良性和36名恶性肿瘤。临床调查结果并未可靠地预测MPNST。患筋膜的肿瘤深度高度敏感;较大的肿瘤更可能是恶性的,但没有一个有用的截止诊断。 MRI上的坏死是高度准确的,并且是回归模型中唯一的重要变量。宠物措施高度准确,AUCS与先前研究一致的aceSSS比较和截止点。使用MRI和PET结果创建诊断算法。结论。 MRI和PET更有效地诊断MPNST而不是临床特征。我们在NF1患者中创建了一种术前评估外周神经鞘瘤的术语,将指出额外的验证。

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