Yajing Zhang¹, Zhigang Wu², Xiuquan Hu³, Guangyu Jiang⁴, Jing Zhang³, Jiazheng Wang³, and Yan Zhao^5
1MR Clinical Science, Philips Healthcare, Suzhou, China, ²Philips Healthcare (China), Shenzhen, China, ³Philips Healthcare (China), Beijing, China, ⁴MR Clinical Application, Philips Healthcare, Suzhou, China, ⁵MR R&D, Philips Healthcare, Suzhou, China

Diffusion-weighted imaging (DWI) of uterus has been crucial for providing useful information in differentiating pathologies such as uterine fibroids and adenomyosis. In this study, we aim to investigate the feasibility of high quality uterus DWI through a segmented phase-encoding acquisition with reduced FOV.

Lauren K Fang¹, Ana E Rodríguez-Soto¹, Anders M Dale^1,2, Christopher C Conlin¹, Tyler M Seibert^1,3,4, Michael E Hahn¹, and Rebecca A Rakow-Penner^1,4
1Radiology, University of California, San Diego, La Jolla, CA, United States, ²Neuroscience, University of California, San Diego, La Jolla, CA, United States, ³Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla, CA, United States, ⁴Bioengineering, University of California, San Diego, La Jolla, CA, United States

Establishing ADC repeatability is important for clinical translation of quantitative DWI. Pelvic ADC repeatability in healthy men and premenopausal women are not well-defined. Four men were scanned twice and six women were scanned each week of their normal 28-day menstrual cycle using a 3.0T scanner. Prostate, cervix, and uterine tissue ROIs were drawn to calculate median ADC values. Minimum reliably detectable ADC change (RC) was estimated at 16% and 11% within the prostatic peripheral and transition zones, respectively. Female reproductive tissue ADCs and repeatability varied across the menstrual cycle, with the greatest RCs displayed by endometrium (40%) and cervix (36%).

Hongchao Wang¹, Yueluan Jiang², Zhuo Wang¹, Lei Zhang¹, Zhiqing Shao¹, Yang Sun¹, and Xiaoye Wang^3
1The First Hospital of Jilin University, Changchun, China, ²MR Scientific Marketing, Siemens Healthineers, Beijing, China, ³MR Clinical Marketing, Siemens Healthineers, Beijing, China

Simultaneous multi-slice (SMS) acquisition is a different option for accelerating 2D TSE MRI through the excitation of multiple slices simultaneously and is associated with much smaller SNR loss than parallel acceleration. In this study, we applied both parallel imaging and multiple slices simultaneous imaging technique to accelerate T2WI TSE of female pelvis MRI. Comparing to conventional TSE sequence, 25% of time could be reduced with more slices with thinner thickness using SMS acceleration with similar performances at 3T. SMS-PI-TSE is a feasible acceleration technique in Pelvis MRI.

Shifeng Tian¹ and Ailian Liu^1,2
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, ²Dalian Medical Imaging artificial intelligence engineering technology research center, Dalian, China

Results shown that several quantitative parameters of diffusion kurtosis imaging (DKI) and enhanced T2 star weighted angiography (ESWAN)  sequence had different between cellular uterine leiomyoma (CUL) and degeneration uterine leiomyoma (DUL). Therefore, it is feasible to use DKI and ESWAN to distinguish CUL and DUL.

Melany B Atkins¹, Arnaud Guidon², Michael Vinski³, Thomas Schrack⁴, Heidi Harris⁵, and Ersin Bayram^6
1Radiology, Fairfax Radiological Consultants, Arlington, VA, United States, ²GE Healthcare, Boston, MA, United States, ³GE Healthcare, Lynchburg, VA, United States, ⁴Fairfax Radiological Consultants, Fairfax, VA, United States, ⁵GE Healthcare, Waukesha, WI, United States, ⁶GE Healthcare, Houston, TX, United States

MRI plays an important role in pelvic assessment. For instance, it is the modality of choice for rectal cancer staging, gynecologic cancer staging, uterine fibroid evaluation and ovarian tumor characterization. Due to the complex nature of the anatomy and clinical demands of these protocols, high resolution thin slice volumetric scans are desired but low SNR, prolonged scan times and motion artifacts remain problematic. In this work, we deploy a combination of recent technical advances in particular high density flexible coils, compressed sensing, and deep learning reconstruction to tackle these challenges and report our feasibility results.

Xulun Lu¹, Ye Li¹, Qingling Song¹, and Ailian Liu^1
1First Affiliated Hospital of Dalian Medical University, Dalian, China

P53 is a tumor suppressor gene,TP53-mutated tumors in general have an aggressive phenotype and are characterized by poor differentiation, increased invasiveness, and high metastatic potential[1]。The early enhancement rate reflects the blood perfusion in the early enhancement stage of the lesion. Tumor exhibits a higher early enhancement rate with more abundant the blood supply of the tumor. Our study proved that the wash-in rate of ovarian cancer in the p53 positive group was higher than that in the P53 negative group.

Shiqi Chen¹, Yulin Chen¹, Ye Li¹, and Ailian Liu^1
1the First Affiliated Hospital of Dalian Medical University, Dalian, China

The identification and treatment of ovarian cancer(OC) has always been a problem that plagues us[1]. Mutations in the p53 gene showed significantly up-regulation in human OC tissues and was closely associated with the development of human OC. This work aimed at exploring the value of Diffusion kurtosis imaging (DKI) for characteristics and diagnosis of ovarian cancer of p53 status. The results showed that FA provided a promising performance (AUC =0.742 , sensitivity = 100%， specificity = 43.7%) in evaluating p53 status and OC.

Shifeng Tian¹, Ailian Liu^1,2, Xing Meng¹, Lihua Chen¹, Nan Wang¹, Liangjie Lin³, Geli Hu³, and Jiazheng Wang^3
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, ²Dalian Medical Imaging artificial intelligence engineering technology research center, Dalian, China, ³Philips Healthcare, Beijing, China

Microsatellite instability (MSI) is one of the four types of endometrial carcinoma (EC) molecular classification based on The Cancer Genome Atlas (TCGA) [1], which refers to the high mutation load caused by the failure of EC to correct certain errors in small sequence replication due to the abnormal function of DNA mismatch repair system [2]. The purpose of this study is to explore the value of multiple quantitative parameters of APT and DKI sequences in evaluating EC MSI status.

Changjun Ma¹, Shifeng Tian², and Ailian Liu^2
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian,China, China, ²Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China

Through high-throughput quantitative feature extraction, the imaging omics method achieves non-invasive analysis of tumor heterogeneity and improves the accuracy of imaging examination in assisting clinical decision making in tumor screening, diagnosis and prognosis prediction.   This study intends to explore the value of imaging omics method based on DTI sequence FA map in differentiating CSCC and CA, and provide imaging basis for the formulation of individualized precision treatment plan for CC patients.  

Xing Meng¹, Ailian Liu^1,2, Shifeng Tian¹, Changjun Ma¹, Liangjie LIN³, Qingwei Song¹, Geli Hu³, and Jiazheng Wang^3
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, ²Dalian Medical Imaging artificial intelligence engineering technology research center, Dalian, China, ³MSC Clinical & Technical Solutions, Philips Healthcare, Beijing, China

Cervical cancer is one of the most common malignant cancers in pelvic cavity, and trends in young adults. This study aims to investigate the value of amide proton transfer weighted (APTw) combined with diffusion kurtosis imaging (DKI) for prediction of pelvic lymph node metastasis of cervical cancer, the accurate diagnosis of which is significant for the treatment and prognosis of cervical cancer.