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线性混合效应模型预测肉瘤局部复发增长率:对最佳监测成像频率的影响。

Linear mixed-effects models for predicting sarcoma local recurrence growth rates: Implications for optimal surveillance imaging frequency.

机构信息

Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, United States.

Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, United States; Department of Orthopaedic Surgery, University of Pennsylvania, 3737 Market Street, Philadelphia, PA 19104, United States; Department of Genetics, University of Pennsylvania, 421 Marie Curie Blvd, Philadelphia, PA 19104, United States; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, 423 Guardian Blvd, Philadelphia, PA 19104, United States.

出版信息

Eur J Radiol. 2020 Nov;132:109308. doi: 10.1016/j.ejrad.2020.109308. Epub 2020 Sep 28.

Abstract

PURPOSE

Sarcomas are rare tumours of mesenchymal origin that are often treated with surgical resection and radiation to prevent local recurrence (LR). Surveillance for LR after surgical resection is often done with contrast-enhanced MRI, however, the optimal frequency of surveillance imaging is unknown. The aims of this study are to calculate LR growth, and to evaluate the factors that affect LR growth and to use this data to predict the optimal imaging surveillance frequency.

METHOD

Retrospective cohort study of patients with sarcoma who were treated at a tertiary care academic institution between 01/01/2007 and 01/03/2020 identified 34 patients with 60 histologically confirmed LRs. The maximum LR length was measured on each surveillance MRI. Linear mixed-effects models were used to calculate the maximum LR length growth rate. We evaluated whether age, sex, primary sarcoma tumour size, sarcoma grade, margins, chemotherapy or radiation therapy affected the growth rate of the maximum LR length.

RESULTS

One patient had 6 LRs (2.9 %), two patients (5.9 %) had 5 LRs, two patients (5.9 %) had 4 LRs, two patients (5.9 %) had 3 LRs, three patients (8.8 %) had 2 LRs, and twenty-four patients (70.6 %) had 1 LR. Most patients had high grade (Grade II/III) disease (88.2 %). 41.2 % of the patients had microscopically positive surgical margins. The median time (range) from surgery to LR was 264 days (17 - 8013) days, and 90 % occurred within 42.8 months (1284 days). Microscopically positive margins were associated with faster growth of the maximum LR length (P = 0.036). Assuming that a 1 cm sarcoma LR is actionable and that the previous surveillance MRI was negative, the data predicts that patients with microscopically positive margins should have surveillance MRIs every 6.2 months when LRs are expected to achieve a length of 1.0 cm (95 % CI (0.4-2.3 cm)).

CONCLUSIONS

Patients with microscopically positive resection margins had LRs that grew faster than patients with negative margins. Surveillance imaging with contrast-enhanced MRI could be conservatively performed every 6 months when LRs are expected to be just less than 1.0 cm in length.

摘要

目的

肉瘤是一种罕见的间充质来源的肿瘤,通常通过手术切除和放疗来治疗,以防止局部复发(LR)。手术后 LR 的监测通常采用对比增强 MRI,但最佳监测成像频率尚不清楚。本研究的目的是计算 LR 的生长情况,并评估影响 LR 生长的因素,并利用这些数据预测最佳的影像学监测频率。

方法

回顾性队列研究了 2007 年 1 月 1 日至 2020 年 1 月 3 日在一家三级学术医疗机构接受治疗的肉瘤患者,共确定了 34 名患者的 60 例经组织学证实的 LR。在每次监测 MRI 上测量最大 LR 长度。使用线性混合效应模型计算最大 LR 长度的生长率。我们评估了年龄、性别、原发肉瘤肿瘤大小、肉瘤分级、切缘、化疗或放疗是否影响最大 LR 长度的生长速度。

结果

1 例患者有 6 个 LR(2.9%),2 例患者(5.9%)有 5 个 LR,2 例患者(5.9%)有 4 个 LR,2 例患者(5.9%)有 3 个 LR,3 例患者(8.8%)有 2 个 LR,24 例患者(70.6%)有 1 个 LR。大多数患者患有高级别(II/III 级)疾病(88.2%)。41.2%的患者切缘显微镜下阳性。从手术到 LR 的中位时间(范围)为 264 天(17-8013 天),90%发生在 42.8 个月(1284 天)内。显微镜下阳性切缘与最大 LR 长度的更快生长相关(P=0.036)。假设 1cm 的肉瘤 LR 是可操作的,并且之前的监测 MRI 为阴性,那么数据预测当 LR 预计达到 1.0cm 长度时(95%CI(0.4-2.3cm)),显微镜下阳性切缘的患者应每 6.2 个月进行一次 MRI 监测。

结论

显微镜下阳性切缘的患者 LR 生长速度快于切缘阴性的患者。当 LR 预计长度略小于 1.0cm 时,可采用对比增强 MRI 进行保守监测,频率为每 6 个月一次。

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本文引用的文献

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