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分析表观扩散系数(ADC)的分层模式,以区分放射性坏死与肿瘤进展。

Analysis of the layering pattern of the apparent diffusion coefficient (ADC) for differentiation of radiation necrosis from tumour progression.

机构信息

Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50, Irwon-dong, Gangnam-gu, Seoul 135-710, Republic of Korea.

出版信息

Eur Radiol. 2013 Mar;23(3):879-86. doi: 10.1007/s00330-012-2638-4. Epub 2012 Aug 19.

Abstract

OBJECTIVES

To evaluate the added value of diffusion-weighted imaging (DWI) to perfusion-weighted imaging (PWI) for differentiating tumour progression from radiation necrosis.

METHODS

Sixteen consecutive patients who underwent removal of a metastatic brain tumour that increased in size after stereotactic radiosurgery were retrospectively reviewed. The layering of the ADC was categorised into three patterns. ADC values were measured on each layer, and the maximum rCBV was measured. rCBV and the layering pattern of the ADC of radiation necrosis and tumour progression were compared.

RESULTS

Nine cases of radiation necrosis and seven cases of tumour progression were pathologically confirmed. Radiation necrosis (88.9 % vs. 14.3 %) showed a three-layer pattern of ADC with a middle layer of minimum ADC more frequently. If rCBV larger than 2.6 was used to differentiate radiation necrosis and tumour progression, the sensitivity was 100 % but specificity was 56 %. If the lesions with the three-layer pattern of ADC with moderately increased rCBV (2.6-4.1) were excluded from tumour progression, the sensitivity and specificity increased to 100 %.

CONCLUSIONS

The three-layer pattern of ADC shows high specificity in diagnosing radiation necrosis; therefore, combined analysis of the ADC pattern with rCBV may have added value in the correct differentiation of tumour progression from radiation necrosis.

摘要

目的

评估弥散加权成像(DWI)对灌注加权成像(PWI)在鉴别肿瘤进展与放射性坏死中的附加价值。

方法

回顾性分析了 16 例接受立体定向放射外科治疗后体积增大的转移性脑肿瘤切除患者。将 ADC 的分层分为三种模式。在每一层测量 ADC 值,并测量最大 rCBV。比较放射性坏死和肿瘤进展的 rCBV 和 ADC 分层模式。

结果

病理证实 9 例为放射性坏死,7 例为肿瘤进展。放射性坏死(88.9%比 14.3%)更常表现为 ADC 的三层模式,中间层的 ADC 最小。如果使用大于 2.6 的 rCBV 来区分放射性坏死和肿瘤进展,其敏感性为 100%,但特异性为 56%。如果将 ADC 呈三层模式且 rCBV 中度升高(2.6-4.1)的病变排除在肿瘤进展之外,则敏感性和特异性均提高至 100%。

结论

ADC 的三层模式在诊断放射性坏死方面具有很高的特异性;因此,ADC 模式与 rCBV 的联合分析可能对正确鉴别肿瘤进展与放射性坏死具有附加价值。

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