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双能CT用于鉴别胰腺腺癌中的低密度肝病变

Dual-energy CT for differentiation of hypodense liver lesions in pancreatic adenocarcinoma.

作者信息

Jensen Corey T, Wong Vincenzo K, Likhari Gauruv S, Daoud Taher E, Ahmad Moiz, Bassett Roland, Pasyar Sarah, Virarkar Mayur K, Roman-Colon Alicia M, Liu Xinming

机构信息

Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

出版信息

Eur Radiol. 2025 Jun;35(6):3538-3546. doi: 10.1007/s00330-024-11291-5. Epub 2024 Dec 19.

Abstract

OBJECTIVE

To assess the accuracy of CT spectral HU curve assessment of hypodense liver lesions.

METHODS

In this retrospective HIPAA-compliant study (January 2016 through May 2023), patients with biopsy-proven pancreatic adenocarcinoma and a biopsied indeterminate liver lesion underwent a DECT abdominal CT scan. Spectral HU curves were provided for each hypodense liver lesion, and slopes were calculated. Lesion Hounsfield units, iodine concentration and virtual enhancement were recorded. The Wilcoxon rank sum test was used to compare malignant and benign lesions. Optimal cutoff points were estimated using ROC curves and Youden's Index.

RESULTS

Thirty-six patients (19 men, 17 women) with a mean age of 63 years ± 9 (standard deviation), a mean height of 170.9 cm ± 9.5, a mean weight of 69.8 kg ± 14.5, and a body mass index of 23.9 kg/m ± 3.5. Reference standard assessment identified 92 liver lesions (50 metastases, 24 cysts, 13 abscesses, 3 regions of inflammation, 2 hemangiomas) with a mean size of 1.1 cm ± 0.5. The mean interval between the CT and liver lesion biopsy was 24 days. A diagnosis of benign versus malignant was determined based on optimal cutoffs: spectral curve slope of 1.36, iodine concentration of 6.47 (100 µg/cm), and enhancement of 10.25. The receiver operating curves (ROC) for diagnosis using spectral curve slope, iodine concentration, and virtual enhancement resulted in an area under the curve (AUC) of 0.948, 0.946, and 0.937, respectively.

CONCLUSION

Spectral HU curves and iodine concentration of well-defined hypodense liver lesions are highly accurate in the diagnosis of benign versus malignant lesions.

KEY POINTS

Question Limited evidence exists for spectral imaging diagnosis of liver lesions-can DECT accurately differentiate between benign and metastatic hypodense liver lesions? Findings Ninety-two hypodense liver lesions evaluated using HU keV curve slope, iodine concentration, and virtual enhancement resulted in accurate benign versus metastatic differentiation. Clinical relevance Hypodense liver lesions are a challenging issue at staging, often requiring further imaging, follow-up, and/or biopsy. The additional information from multi-energy CT can be useful to differentiate between benign and malignant lesions, thereby reducing the need for costly additional evaluation.

摘要

目的

评估CT光谱HU曲线对低密度肝病变的评估准确性。

方法

在这项符合HIPAA的回顾性研究(2016年1月至2023年5月)中,经活检证实为胰腺腺癌且有活检结果不确定的肝病变患者接受了双能CT腹部扫描。为每个低密度肝病变提供光谱HU曲线,并计算斜率。记录病变的亨氏单位、碘浓度和虚拟增强值。采用Wilcoxon秩和检验比较恶性和良性病变。使用ROC曲线和尤登指数估计最佳截断点。

结果

36例患者(19例男性,17例女性),平均年龄63岁±9岁(标准差),平均身高170.9 cm±9.5,平均体重69.8 kg±14.5,体重指数23.9 kg/m±3.5。参考标准评估确定了92个肝病变(50个转移瘤、24个囊肿、13个脓肿、3个炎症区域、2个血管瘤),平均大小为1.1 cm±0.5。CT与肝病变活检之间的平均间隔时间为24天。根据最佳截断值确定良性与恶性诊断:光谱曲线斜率为1.36,碘浓度为6.47(100μg/cm),增强值为10.25。使用光谱曲线斜率、碘浓度和虚拟增强进行诊断的受试者操作曲线(ROC)的曲线下面积(AUC)分别为0.948、0.946和0.937。

结论

明确的低密度肝病变的光谱HU曲线和碘浓度在良性与恶性病变的诊断中具有很高准确性。

关键点

问题 关于肝脏病变光谱成像诊断的证据有限——双能CT能否准确区分良性和转移性低密度肝病变? 发现 使用HU keV曲线斜率、碘浓度和虚拟增强对92个低密度肝病变进行评估,实现了准确的良性与转移性区分。 临床意义 低密度肝病变在分期时是一个具有挑战性的问题,通常需要进一步的影像学检查、随访和/或活检。多能量CT提供的额外信息有助于区分良性和恶性病变,从而减少昂贵的额外评估需求。

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