Huanhuan Kang¹, Xu Bai², Wei Xu¹, Mengqiu Cui¹, Shaopeng Zhou¹, Baichuan Liu¹, and Haiyi Wang^1
1Radiology, the First Medical Center of Chinese PLA General Hospital, Beijing, China, ²Radiology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China

The purpose of this study was to investigate whether subtraction MR images can improve the interobserver agreement for Bosniak II, IIF and III cystic renal masses (CRMs) with Bosniak classification, version 2019. The results showed that the interobserver agreement was higher with subtraction MR images than without subtraction MR images (weighted k = 0.73 vs 0.60, respectively; P=.011), which may contribute to the popularization and application of Bosniak classification, version 2019.

XIAOHANG QIN^1,2, CONG WANG³, and YONG YIN^2
1Department of Graduate, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong Ji’ nan, China, ²Department of Radiation Physics, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong Ji’ nan, China, ³Department of Fourth Ward of Gynecological Tumor, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong Ji’ nan, China

Bone marrow is a heterogeneous mixed tissue, which can be divided into red bone marrow with hematopoietic activity and yellow bone marrow with high fat content. Concurrent chemoradiotherapy can induce red bone marrow transfer into yellow bone marrow, increasing the bone marrow fat content and inhibiting hematopoietic function. The study used the MRI IDEAL IQ sequence to quantify the changes of pelvic bone marrow fat content receiving different doses of concurrent chemoradiotherapy for cervical cancer, and to determine associations with peripheral blood cell counts.

Huijie Jiang¹, Xue Lin¹, Sheng Zhao¹, and Hongbo Hu^1
1Harbin Medical University, Harbin, China

Radiomics features were extracted through MRI images and different prediction models (clinical model, logistic regression [LR], random forest [RF], support vector machine [SVM], clinical-LR model, clinical-RF model, and clinical-SVM model) for extramural venous invasion (EMVI) were constructed on the basis of radiomics features and clinical factors, respectively. The optimal model, which had the best predictive efficiency, was screened out for predicting the EMVI status of rectal adenocarcinoma patients.

Xin-zhu Zhou¹, Hua Lai¹, Lian-hua Liu¹, Shuang He¹, Hui-fang Yao¹, Li-ping Chen¹, Chen Deng¹, Shuang-Ling Li¹, and Xiao-yong Zhang^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, ²Clinical Science, Philips Healthcare, Chengdu, China

Kaiser scoring (KS) system for breast magnetic resonance imaging (bMRI) is a new clinical decision-making tool for the diagnosis of breast lesions. This study proposed and investigated the feasibility of Kaiser score combined with breast vascular assessment, defined as KS* ,  for its diagnostic performance in breast magnetic resonance imaging (bMRI). The results showed that the additional used ipsilateral breast vascularity and positive adjacent vessel sign (AVS) can accurately evaluate breast lesions, and KS* has higher diagnostic efficiency for breast lesions than conventional KS, especially for non-mass lesions.

Lu Wang¹, Yi Wang², Xinqi Wang¹, Longshuang Wang¹, Qinhe Zhang³, Lizhi Xie⁴, and Ailian Liu^3
1School of Medical Imaging, Dalian Medical University, Dalian, China, ²DepartmentofRadiology,DalianFriendshipHospital, Dalian, China, ³Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, ⁴GE Healthcare, MR Research China, Beijing, China

It is difficult to differentiate the solid pseudopapillary tumor of the pancreas (SPTP) from pancreatic neuroendocrine tumor (PNET). Enhanced T2* weighted angiography (ESWAN) technique can simultaneously obtain amplitude, phase, R2* and T2* values, which can quantitatively assess the magnetic sensitivity characteristics of tissues. DTI can evaluate the diffusion of water molecules in living tissues. This study founded that R2* and T2* of ESWAN, fractional aniso (FA) and volume ratio aniso (VRA) of DTI were significantly different (P<0.05) and the AUC was 0.860(sensitivity: 100%; specificity: 79.2%). Therefore, ESWAN combined with DTI may be an effective method to identify SPTP and PNET.

Xinqi Wang¹, Yi Wang², Lu Wang¹, Qinhe Zhang³, Lizhi Xie⁴, and Ailian Liu^3
1School of Medical Imaging, Dalian Medical University, Dalian, China, ²Department of Radiology, Dalian Friendship Hospital, Dalian, China, ³Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, ⁴GE Healthcare, MR Research China, Beijing, China

It is difficult to differentiate the solidpseudopapillary tumer of the pancreas(SPTP) from pancreatic neuroendocrine tumers (PNET), due to their similar imaging characteristics. There was significant difference in DTI quantitative parameters Fractional Aniso (FA) and Volume ratio Aniso (VRA) between SPTP and PNET. The results showed that the FA and VRA values of DTI sequence of SPTP were significantly higher than that of PNET. Therefore, DTI sequences may be an effective method to identify SPTP and PNET.

Shan Yao¹, Yi Wei¹, Hehan Tang¹, Lisha Nie², Xiaocheng Wei², and Bin Song^1
1Department of Radiology, West China Hospital, Sichuan University, Chengdu, China, ²GE Healthcare China, Beijing, China

Gadoxetic acid-enhanced magnetic resonance imaging (MRI) has been widely used in detection and diagnosis for hepatocellular carcinoma (HCC), while transient severe motion artifact that affects the arterial phase (AP) images quality and reduces diagnosis performance remains a concern. A new diagnosis criterion for HCC integrating CTAP and MRAP images was introduced in this study and achieved a high sensitivity and comparable specificity when compared with the gadoxetic acid-enhanced MRI only. It may be able to improve the diagnostic performance of gadoxetic acid-enhanced MRI in patients with HCCs and further affect the clinical treatment plan.

Qingling Song¹, Ailian Liu², Changjun Ma³, and Qingwei Song^2
11. Department of Radiology, Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China, ²1.Department of Radiology, The First Affiliated Hospital, Dalian Medical University 2. Dalian Engineering Research Center for Artificial Intelligence in Medical Imaging, Dalian, China, ³Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China

The proper evaluation of pathological features including differentiation degree, deep stromal invasion (DSI) and vascular space invasion (VSI) is vital for patients with cervical cancer. Amide Proton Transfer (APTW) and Dynamic Contrast-Enhanced MRI (DCE-MRI) were used to predict tumor differentiation, DSI and VSI. Results showed that combined APTW and DCE-MRI predicted VSI with good performance. Therefore, combination of APTW and DCE-MRI is potentially a promising and valuable non-invasive method in detection for predicting VSI.