Suppr超能文献

腱鞘巨细胞瘤在磁共振成像上的严重程度分类

Severity classification of Tenosynovial Giant Cell Tumours on MR imaging.

作者信息

Mastboom M J L, Verspoor F G M, Hanff D F, Gademan M G J, Dijkstra P D S, Schreuder H W B, Bloem J L, van der Wal R J P, van de Sande M A J

机构信息

Orthopaedic Surgery, Leiden University Medical Center, Leiden, the Netherlands.

Orthopaedic Surgery, Radboud University Medical Center, Nijmegen, the Netherlands.

出版信息

Surg Oncol. 2018 Sep;27(3):544-550. doi: 10.1016/j.suronc.2018.07.002. Epub 2018 Jul 3.

Abstract

AIM

Current development of novel systemic agents requires identification and monitoring of extensive Tenosynovial Giant Cell Tumours (TGCT). This study defines TGCT extension on MR imaging to classify severity.

METHODS

In part one, six MR parameters were defined by field-experts to assess disease extension on MR images: type of TGCT, articular involvement, cartilage-covered bone invasion, and involvement of muscular/tendinous tissue, ligaments or neurovascular structures. Inter- and intra-rater agreement were calculated using 118 TGCT MR scans. In part two, the previously defined MR parameters were evaluated in 174 consecutive, not previously used, MR-scans. TGCT severity classification was established based on highest to lowest Hazard Ratios (HR) on first recurrence.

RESULTS

In part one, all MR parameters showed good inter- and intra-rater agreement (Kappa≥0.66). In part two, cartilage-covered bone invasion and neurovascular involvement were rarely appreciated (<13%) and therefore excluded for additional analyses. Univariate analyses for recurrent disease yielded positive associations for type of TGCT HR12.84(95%CI4.60-35.81), articular involvement HR6.00(95%CI2.14-16.80), muscular/tendinous tissue involvement HR3.50(95%CI1.75-7.01) and ligament-involvement HR4.59(95%CI2.23-9.46). With these, a TGCT severity classification was constructed with four distinct severity-stages. Recurrence free survival at 4 years (log rank p < 0.0001) was 94% in mild localized (n56, 1 recurrence), 88% in severe localized (n31, 3 recurrences), 59% in moderate diffuse (n32, 12 recurrences) and 36% in severe diffuse (n55, 33 recurrences).

CONCLUSION

The proposed TGCT severity classification informs physicians and patients on disease extent and risk for recurrence after surgical treatment. Definition of the most severe subgroup attributes to a universal identification of eligible patients for systemic therapy or trials for novel agents.

摘要

目的

新型全身治疗药物的当前研发需要对广泛的腱鞘巨细胞瘤(TGCT)进行识别和监测。本研究通过磁共振成像(MR)来界定TGCT的范围,以对疾病严重程度进行分类。

方法

在第一部分中,由领域专家定义了六个MR参数,以评估MR图像上的疾病范围:TGCT的类型、关节受累情况、软骨覆盖骨的侵犯情况以及肌肉/肌腱组织、韧带或神经血管结构的受累情况。使用118例TGCT的MR扫描计算评分者间和评分者内的一致性。在第二部分中,在174例连续的、之前未使用过的MR扫描中评估先前定义的MR参数。基于首次复发时从高到低的风险比(HR)建立TGCT严重程度分类。

结果

在第一部分中,所有MR参数均显示出良好的评分者间和评分者内一致性(Kappa≥0.66)。在第二部分中,软骨覆盖骨的侵犯和神经血管受累情况很少见(<13%),因此排除进行进一步分析。对复发性疾病的单因素分析显示,TGCT类型HR为12.84(95%CI为4.60 - 35.81)、关节受累HR为6.00(95%CI为2.14 - 16.80)、肌肉/肌腱组织受累HR为3.50(95%CI为1.75 - 7.01)以及韧带受累HR为4.59(95%CI为2.23 - 9.46)之间存在正相关。据此构建了一个具有四个不同严重程度阶段的TGCT严重程度分类。轻度局限性(n = 56,1次复发)4年无复发生存率为94%,重度局限性(n = 31,3次复发)为88%,中度弥漫性(n = 32,12次复发)为59%,重度弥漫性(n = 55,33次复发)为36%(对数秩p < 0.0001)。

结论

所提出的TGCT严重程度分类为医生和患者提供了有关疾病范围以及手术治疗后复发风险的信息。定义最严重的亚组有助于普遍识别适合全身治疗或新型药物试验的合格患者。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验