Guiqin Liu¹, Guangyu Wu¹, Yongming Dai², and Ke Xue^2
1Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, ²United Imaing Healthcare, Shanghai, China

Non-invasive in vivo detection of abnormal fumarate accumulation is important for identify fumarate hydratase (FH) deficiency in hereditary leiomyomatosis and renal cell carcinoma (HLRCC). However, until now, no study has been reported to successfully identify fumarate accumulation in HLRCC-associated RCC. In our study, we achieved an 100% accuracy in primary HLRCC-associated RCC, as well as all of the HLRCC PDX models. For our best knowledge, it is the first time that, MRS can be successfully used to in vivo detected in FH-deficient renal lesions, which is a crucial innovation of conventional imaging diagnostic technology.

Lidi Ma¹, Kan Deng², Haixia Li², Cheng Zhang¹, and Chuanmiao Xie^1
1Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China, ²Philips Healthcare, Guangzhou, China

Few studies both focus on the prognosis for patients with early recurrence and five years overall survival (OS) for patients with BCLC 0-C. Here, we  established nomograms for predicting 5-year overall survival and early recurrence after curative resection of Hepatocellular carcinoma (HCC) based on clinicopathological-radiological model and investigated whether different treatment methods have influenced on OS for patients with early recurrence. The results demonstrate that the nomogram, based on clinical, pathological and radiological factors, had good accuracy in estimating OS and recurrence respectively. Further, reoperation maybe the best option for patients with recurrence in good condition.

Oi Lei Wong¹, Jing Yuan¹, Darren Ming Chun Poon², Yi Hang Zhou¹, Siu Ki Yu³, and Kin Yin Cheung^3
1Research Department, Hong Kong Sanatorium & Hospital, Hong Kong, Hong Kong, ²Comprehensive Oncology Center, Hong Kong Sanatorium & Hospital, Hong Kong, Hong Kong, ³Medical Physics Department, Hong Kong Sanatorium & Hospital, Hong Kong, Hong Kong

This study aims to evaluate the impact of temporal resolution on the positional probability distribution. Based on our results, PPV was independent of the fps setting and was most reliable at the probability of occurrence >35 - 50%. Thus, PPV is potentially useful to minimize the registration error during daily positional verification.

Xinxin Wang¹, Yunfeng Sun¹, Xueyan Zhou², Hongxia Zhang¹, Jianxiu Lian³, and Yang Zhou^1
1Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, China, ²Harbin University, Harbin, China, ³Philips Healthcare, Beijing, China

Preoperative microvascular invasion (MVI) prediction plays an important role in therapeutic decision-making of hepatocellular carcinoma (HCC). We aimed to investigate the value of histogram based on the arterial phase (AP) of magnetic resonance imaging (MRI) with extracellular contrast agent compared with radiological features for predicting MVI of solitary HCC. Results showed that peritumoral AP enhanced degree on MRI showed an encouraging predictive performance for preoperative prediction of MVI, especially in sHCCs (AUC=0.798, sensitivity =54.84%, specificity =100% ). Corona enhancement thickness≤8 mm may be used as a predictive marker for MVI when compared with the group with thickness>8 mm.

Xue Ren¹, Jiazheng Wang², Peng Sun², Lihua Chen¹, Qingwei Song¹, Renwang Pu¹, Ying Zhao¹, Tao Lin¹, Qihao Xu¹, and Ailian Liu^1
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, ²Philips Healthcare, Beijing, China

Liver cancer has become one of the most frequent fatal malignancies around the world. And the early precise diagnosis of different types of liver cancer is very critical for treatment strategy design. This retrospective study evaluated the diagnostic efficacy of amide proton transfer weighted (APTw) and dynamic contrast-enhanced (DCE) imaging for the differentiation between primary and secondary liver cancer. Results showed that a combination of APTw and DCE significantly improved the diagnosis of liver cancer.

Bowen Shi¹, Ke Xue², Yili Yin¹, Qing Xu¹, Binbin Shi¹, Dongmei Wu³, Yongming Dai⁴, and Jing Ye^1
1Department of Medical Imaging, Clinic Medical School, Yangzhou University, Northern Jiangsu Province Hospital, Yangzhou, China, ²MR Collaboration, Central Research Institute, Shanghai United Imaging Healthcare Co.,Ltd, Shanghai, China, ³Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronics Science, East China Normal University, Shanghai, China, ⁴MR Collaboration, Central Research Institute, Shanghai United Imaging Healthcare, Shanghai, China

Accurately characterizing ccRCC grades with a non-invasive method would be vital for guiding treatment and prognosis. This study evaluated and compared the performance of conventional ADC and the FROC parameters, D_froc, β, μ, in differentiation of low- and high-grade ccRCC. All the FROC parameters showed better diagnostic performance than ADC in characterizing ccRCC grades, among which β yielded the highest AUC value. This implied the clinical potential of the FROC model in evaluating renal tumor aggressiveness and the dominant role of β in probing tumor heterogeneity and microstructural complexity.

Shuai Wang¹, Binghui Zhao¹, Jilei Zhang², and Weibo Chen^2
1Radiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China, ²Philips Healthcare, Shanghai, China

T1 mapping is a quantitative MR technique that can be used to measure the longitudinal relaxation time of tissues. Previous studies demonstrated that it is potentially able to differentiate benign and malignant tumors and identify histopathological grade. In this study, the dynamic contrast enhanced (DCE) T1 mapping exhibited the robust reproducibility and repeatability and thus may have potential be used for quantitative renal tumor evaluation in cross-sectional and longitudinal studies. Furthermore, we found that clear cell renal cell carcinoma (ccRCC) had higher native and enhanced T1values than non-ccRCC. Thus, DCE T1 mapping is promising in differentiating ccRCC from non-ccRCC.

Haixia Yu¹ and Jianping Ding^1
1Department of Radiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou, China

Cervical Cancer Lymph-vascular space invasion (LVSI) is a type of cancer cells that invade into lymphatics and blood vessels.The typical symptoms are closely related to the distant metastasis of cervical cancer.The selection of treatment strategies for early cervical cancer is particularly important.This study established and verified the radiomics based on enhanced MRI to predict the preoperative LVSI status of cervical squamous cell carcinoma, which can be used as a noninvasive biomarker to better predict the LVSI status of patients with cervical squamous cell carcinoma.

Yang Zhou¹, Ziqian Zhang¹, Wenjuan Zhao¹, Xinxin Wang¹, Kun Wang², Kuan Luan², Jianxiu Lian³, and Mengchao Shi^3
1Harbin Medical University Cancer Hospital, Harbin 150010, Harbin, China, ²Harbin Engineering University, Harbin 150001, Harbin, China, ³Philips Healthcare, Beijing, China

Accurate preoperative assessment of microvascular invasion (MVI) can help clinicians choose more reasonable treatment options, reduce the recurrence of HCC patients after surgical treatment, and improve the survival rate of patients. In this study, Graph convolutional network (GCN) was used to build a preoperative diagnostic model for MVI for mining the correlation between radiomic features. The results revealed that the value of the predicted MVI nomogram established was 0.884 in the validation when the radiographic characteristics of the patients were combined with graph convolutional network Score（GS).

Yan Lin¹, Ting Ouyang¹, Huanian Zhang¹, Rongzhi Cai¹, Peie Zheng¹, Zhijie Fu¹, Han Zhou¹, and Renhua Wu^1
1Radiology Department, Second Affiliated Hospital of Shantou University Medical College, Shantou City, China

Constructing an optimal metabolic model by combining biomarkers in biofluids may improve its non-invasive screening efficiency for esophageal cancer (EC). In this study, urine and serum specimens representing the healthy and EC individuals were examined using high-resolution 600 MHz 1H NMR technique. Furthermore, the paralleled patient-matched metabolites of EC tumor tissues and their adjacent non-cancerous tissues were investigated, which was used as references to determine biofluids metabolic biomarkers. The visual nomogram prediction model through a combination of creatine and glycine in both serum and urine was constructed using multiple regression analysis, which improves the diagnostic efficiency for EC.

Zewen Han¹, Xiaojie Chen², Lanmei Gao², and Yueming Li^2
1The School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, China, ²Department of Radiology, the First Affiliated Hospital of Fujian Medical University, Fuzhou, China

Microvascular invasion (MVI) affects postoperative prognosis in hepatocellular carcinoma (HCC) patients. Radiomics has shown great potential in providing valuable information for tumor pathophysiology. We aim to use multi-sequence MRI radiomics focused on not only intratumoral and peritumoral areas, but also the HCC-liver interface to predictive MVI status preoperatively. The radiomics and clinico-radiological indicator-based fusion model can well predict MVI status in HCC patients.

Zhen Zhang¹, Hanyu Jiang¹, Ting Duan¹, Bin Song¹, and Xiaoyong Zhang^2
1Department of Radiology, West China Hospital, Chengdu, China, ²Clinical Science, Philips Healthcare, Cheng du, China

Compared with conventional diffusion-weighted imaging (DWI), high-resolution DWI (HR-DWI) can improve the image quality with higher image scores. In patients with increased risk for hepatocellular carcinoma, gadoxetic acid-enhanced MRI with HR-DWI showed comparable performance with conventional DWI + hepatobiliary phase for detecting potentially malignant liver lesions.

Ying Cui¹, Yufei Zhao¹, and Xingui Peng^1
1Southeast University, Nanjing, China

This study aimed to investigate the value of plain conventional and black-blood magnetic resonance imaging (MRI) for assessing the invasion of large and important vessels in patients with complex retroperitoneal tumors. The great advantages of vascular wall imaging are non-invasive and non-enhanced,  as well as three-dementional, which provides a better presence and evaluation of wall structure, tumor contact of the vessel circumference, narrowing, and deformity. The researchers in the field of vascular imaging should be interested in this topic. 

Zhigang Wu¹, Rui Chen², Zaiyi Liu², Fei Zeng¹, Guangyi Wang², and Huifeng Ye^2
1Philips Healthcare, Beijing, China, ²Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

Diffusion MRI provides unique information on the structure, organization, and integrity of the nasopharyngeal carcinoma (NPC) non-invasively. Higher b-values diffusion-weighted imaging could improve the detection rate of malignancies. We use the combination of DWI TSE Multivane XD and computed DWI to generate the high b values diffusion for nasopharyngeal whithout distortion, with higher SNR and less scan time. A in vivo comparison between actual scanned DWI and cDWI study was also studied on both volunteer and patients with NPC. The image quality is comparable. It shows cDWI is a promising technique for the NPC diagnosis.

Xin-zhu Zhou¹, Hua Lai¹, Lian-hua Liu¹, Shuang He¹, Hui-fang Yao¹, Li-ping Chen¹, Chen Deng¹, Ya Yang¹, Qiang Lei¹, and Yun-zhu Wu^2
1Department of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China, ²MR Scientific Marketing, Siemens Healthineers, Shanghai, China

This study investigated the diagnostic capabilities of qualitative and quantitative parameters derived from high-resolution DCE-MRI with GRASP sequence. 31 patients (33 lesions, 13 benign and 20 malignant lesions) were prospectively included. The results showed that there were prominent discrepancies of quantitative and quantitative parameters between malignant and benign breast lesions. K^trans, K_ep, and iAUC(60) had excellent diagnostic efficiency for breast cancer.