Radiomics model based on preoperative gadoxetic acid-enhanced MRI for predicting liver failure

BACKGROUND Postoperative liver failure is the most severe complication in cirrhotic patients with hepatocellular carcinoma(HCC) after major hepatectomy. Current available clinical indexes predicting postoperative residual liver function are not sufficiently accurate.AIM To determine a radiomics model based on preoperative gadoxetic acid-enhanced magnetic resonance imaging for predicting liver failure in cirrhotic patients with HCC after major hepatectomy.METHODS For this retrospective study, a radiomics-based model was developed based on preoperative hepatobiliary phase gadoxetic acid-enhanced magnetic resonance images in 101 patients with HCC between June 2012 and June 2018. Sixty-one radiomic features were extracted from hepatobiliary phase images and selected by the least absolute shrinkage and selection operator method to construct a radiomics signature. A clinical prediction model, and radiomics-based model incorporating significant clinical indexes and radiomics signature were built using multivariable logistic regression analysis. The integrated radiomics-based model was presented as a radiomics nomogram. The performances of clinical prediction model, radiomics signature, and radiomics-based model for predicting post-operative liver failure were determined using receiver operating characteristics curve, calibration curve, and decision curve analyses.RESULTS Five radiomics features from hepatobiliary phase images were selected to construct the radiomics signature. The clinical prediction model, radiomics signature, and radiomics-based model incorporating indocyanine green clearance rate at 15 min and radiomics signature showed favorable performance for predicting postoperative liver failure(area under the curve: 0.809-0.894). The radiomics-based model achieved the highest performance for predicting liver failure(area under the curve: 0.894; 95%CI: 0.823-0.964). The integrated discrimination improvement analysis showed a significant improvement in the accuracy of liver failure prediction when radiomics signature was added to the clinical prediction model(integrated discrimination improvement = 0.117, P =0.002). The calibration curve and an insignificant Hosmer-Lemeshow test statistic(P = 0.841) demonstrated good calibration of the radiomics-based model. The decision curve analysis showed that patients would benefit more from a radiomics-based prediction model than from a clinical prediction model and radiomics signature alone.CONCLUSION A radiomics-based model of preoperative gadoxetic acid–enhanced MRI can be used to predict liver failure in cirrhotic patients with HCC after major hepatectomy.     

探讨1.2ml SONOVUE剂量对肝脏占位病变时间-强度曲线灌注参数的影响

目的：探讨1.2ml SONOVUE剂量对肝脏占位病变时间-强度曲线(time-intensity curve，TIC)灌注参数的影响。方法：选取52例1.2ml和83例2.4ml SONOVUE（声诺维）对肝脏占位病变的超声造影的资料，对两组肝脏占位病变超声造影(contrast-enhanced ultrasonography，CEUS)的动脉相血流灌注主要方式增强进行比较。采用QLab9.0软件生成TIC及血流灌注参数。对比肝脏良恶性占位病变的TIC形态特征，分析肝脏占位病灶与周围肝实质血流灌注参数，以及两组肝脏占位病灶血流灌注参数的差异。结果：两种剂量造影下恶性和良性占位病变的主要增强方式相同，恶性占位病变的增强方式都主要是整体型和周边增强型，其CEUS TIC的波峰较尖锐。1.2ml组肝占位病变与周围肝实质的CEUS TIC灌注参数AT、TTP、Δt、Ib、Ip、ΔI/Δt均存在显著差异（P<0.05），提示1.2ml SonoVue剂量可以用于肝占位病变与周围组织的鉴别。与2.4ml组相比，1.2ml组无论肝实质还是肝占位病变的TIC灌注参数AT、TTP、Ib测值大小均存在显著差异（P<0.05）。与2.4ml组相比，1.2ml组HCH的CEUS TIC灌注参数只有AT测值存在显著差异（P<0.05），肝癌（HCC和MLC）的CEUS TIC灌注参数只有Ib测值存在显著差异（P<0.05）。 【结论】：1.2ml SonoVue CEUS可以良好地显示肝脏占位病变，特别是对肝癌和血管瘤的显示。     

Voluntariado radiológico para apoyar un programa de detección precoz del cáncer de mama en Perú: descripción del proyecto,presentación de los primeros resultados e impresiones

Breast cancer is the second most common cancer in Peruvian women. Due to limitations in national breast cancer screening programs, especially in rural areas, more than 50% of cases of breast cancer in Peru are diagnosed in advanced stages. In collaboration with a local clinic registered as a nongovernmental organization (CerviCusco), RAD-AID International aims to create a sustainable diagnostic structure to improve breast cancer screening in Cuzco. With the support of local, national, and international partners that have collaborated in analyzing radiological resources, raising awareness in the population, acquiring equipment, training clinical staff, and building referral networks, our teams of radiologists, included in the RAD-AID team, have participated in training CerviCusco staff in breast ultrasound, thus enabling additional training for radiology residents through a regulated international collaboration.     

Morphological imaging and CT histogram analysis to differentiate pancreatic neuroendocrine tumor grade 3 from neuroendocrine carcinoma

PurposeTo compare morphological imaging features and CT texture histogram parameters between grade 3 pancreatic neuroendocrine tumors (G3-NET) and neuroendocrine carcinomas (NEC).Materials and methodsPatients with pathologically proven G3-NET and NEC, according to the 2017 World Health Organization classification who had CT and MRI examinations between 2006-2017 were retrospectively included. CT and MRI examinations were reviewed by two radiologists in consensus and analyzed with respect to tumor size, enhancement patterns, hemorrhagic content, liver metastases and lymphadenopathies. Texture histogram analysis of tumors was performed on arterial and portal phase CT images. images. Morphological imaging features and CT texture histogram parameters of G3-NETs and NECs were compared.ResultsThirty-seven patients (21 men, 16 women; mean age, 56 ± 13 [SD] years [range: 28-82 years]) with 37 tumors (mean diameter, 60 ± 46 [SD] mm) were included (CT available for all, MRI for 16/37, 43%). Twenty-three patients (23/37; 62%) had NEC and 14 patients (14/37; 38%) had G3-NET. NECs were larger than G3-NETs (mean, 70 ± 51 [SD] mm [range: 18 - 196 mm] vs. 42 ± 24 [SD] mm [range: 8 - 94 mm], respectively; P = 0.039), with more tumor necrosis (75% vs. 33%, respectively; P = 0.030) and lower attenuation on precontrast (30 ± 4 [SD] HU [range: 25-39 HU] vs. 37 ± 6 [SD] [range: 25-45 HU], respectively; P = 0.002) and on portal venous phase CT images (75 ± 18 [SD] HU [range: 43 - 108 HU] vs. 92 ± 19 [SD] HU [range: 46 - 117 HU], respectively; P = 0.014). Hemorrhagic content on MRI was only observed in NEC (P = 0.007). The mean ADC value was lower in NEC ([1.1 ± 0.1 (SD)] × 10⁻³ mm²/s [range: (0.91 - 1.3) × 10⁻³ mm²/s] vs. [1.4 ± 0.2 (SD)] × 10⁻³ mm²/s [range: (1.1 - 1.6) × 10⁻³ mm²/s]; P = 0.005). CT histogram analysis showed that NEC were more heterogeneous on portal venous phase images (Entropy-0: 4.7 ± 0.2 [SD] [range: 4.2-5.1] vs. 4.5 ± 0.4 [SD] [range: 3.7-4.9]; P = 0.023).ConclusionPancreatic NECs are larger, more frequently hypoattenuating and more heterogeneous with hemorrhagic content than G3-NET on CT and MRI.     

Transarterial Chemoembolization vs Radioembolization for Neuroendocrine Liver Metastases: A Multi-Institutional Analysis

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彩色多普勒超声诊断卵巢肿瘤蒂扭转的临床意义

目的：探讨彩色多普勒超声诊断卵巢肿瘤蒂扭转的临床意义。方法方便选取2012―2015年该院收治的58例疑似卵巢肿瘤蒂扭转患者作为观察目标，入选病例均应用彩色多普勒超声进行检查，并将检查结果同术后病理检查结果进行比较。结果58例患者中，术后病理证实卵巢肿瘤蒂扭转者51例，彩色多普勒超声共确诊49例，检查准确率为96.1%；囊壁增厚、腹腔或盆腔积液、可见混合型团块是卵巢肿瘤蒂扭转的主要彩超表现。结论卵巢肿瘤蒂扭转应用彩色多普勒超声诊断，可显著提高诊断准确率，具有积极的临床使用和推广价值。     

普通变异型免疫缺陷病合并肝硬化1例并文献复习

目的:讨论普通变异型免疫缺陷病(common variable immunodeficiency disease,CVID)的发病机制、临床表现及治疗方法。方法:报道1例普通变异型免疫缺陷病合并肝硬化患者并复习相关文献。结果:普通变异型免疫缺陷病是临床少见病,易误诊,病因不清,临床表现复杂,部分患者病程中可出现肝功能异常,甚至并发肝硬化。结论:临床反复感染的患者应考虑CVID的可能,须进一步作血浆免疫球蛋白的检测确诊。对已经确诊患者定期补充静脉丙种球蛋白,同时还应定期检查肝功能。