| Computer # |
| 4279.
 | 113 | The value of Multiplex MRI in differential diagnosis of benign and malignant ovarian lesions with O-RADS MRI Score 3-5 Haijiao Li1, Kun Cao1, Ke Xue2, YuXin YANG2, and Yingshi Sun1
1Radiology, Peking university Cancer Hospital, Beijing, China, 2MR Collaboration, United Imaging Research Institute of Intelligent Imaging, Beijing, China Keywords: Pelvis, Pelvis Motivation: The differentiation of benign and malignant ovarian lesions is challenging and crucial. Thus new technologies is in need. Goal(s): To investigate the diagnostic efficacy of Multiplex MRI (MTP) in differentiation of benign and malignant ovarian lesions with O-RADS MRI score 3-5. Approach: The quantitative MTP parameters before and after enhancement were compared between benign and malignant groups, and ROC curve was used to evaluate the diagnostic efficacy of the quantitative parameters and diagnostic models. Results: The MTP MRI emerges as a valuable tool in differentiation of benign and malignant ovarian lesions with O-RADS Score 3-5 and could provide additional diagnostic value than ADC. Impact: MTP MRI can provide
multiple quantitative parameters from a single scan. Our study found that MTP MRI yielded good performance in differentiation of
benign and malignant ovarian lesions. The utility of MTP in diagnosis of
ovarian lesion worth more investigation. |
| 4280.
 | 114 | Automatically Quantitative Intra-tumoral susceptibility Signal and R2 star in discriminating subtype of ovarian cancer Qingling Song1, Ailian Liu2, Ye Li2, Li Hao3, Yuting Shi2, Qingwei Song2, Hongkai Wang4,5, and Mingrui Zhuang4
1Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China, 2Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China, 3Radiology, Dalian Municipal Central Hospital, Dalian, Liaoning, China, Dalian, China, 4School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China, 5Liaoning Key Laboratory of Integrated Circuit and Biomedical Electronic System, Dalian, China Keywords: Pelvis, Blood vessels Motivation: It is important to quantitatively analyze the subtype of epithelial ovarian cancer using oxygen content, neovascularization, intra-tumoral hemorrhage. Goal(s): To investigate the R2* value of ESWAN and quantitative ITSS obtained automatically in discriminating subtype of epithelial ovarian cancer. Approach: R2* value of ESWAN sequence and ITSS ratio of ovarian cancer lesion were measured, and the value of R2* and ITSS in discriminating subtype of EOC was analyzed. Results: The area ITSS ratio and volume ITSS ratio of type II ovarian cancer were significantly higher than those of type I EOC. There was no significant difference between type I and type II EOC. Impact: The area ITSS ratio and volume ITSS ratio have certain value in discriminating
type
I from type II EOC. The value of R2* value in the
differentiation of subtype of epithelial ovarian cancer need to be further
explored. |
| 4281.
 | 115 | Automatically Quantitative Intratumoral Susceptibility Signal in Predicting the Expression of Ki-67 in Ovarian cancer Li Hao1, Ailian Liu2, Ye Li2, Qingling Song2, Yuting Shi3, Qingwei Song2, Hongkai Wang4, and Mingrui Zhuang4
1Department of Radiology, Dalian Municipal Central Hospital, Dalian, China, 2The First Affiliated Hospital of Dalian Medical University, Dalian, China, 3Dalian Medical University, Dalian, China, 4Dalian University of Technology, Dalian, China Keywords: Pelvis, Tumor, Ki-67 antigen Motivation: The high expression of Ki-67 in ovarian cancer was associated with lower survival rate, but its expression was only obtained after postoperative immunohistochemical staining analysis Goal(s): Automatically quantitative Intratumoral Susceptibility Signal (ITSS) can reflect the new growth inside the tumor vascular and bleeding conditions,ITSS can obtain the expression of Ki-67 before operation, which can help clinical provide treatment plan Approach: Automatically quantitative ITSS in predicting the expression of Ki-67 in ovarian cancer,by using AS (AnatomySketch 1.0) software (Dalian University of Technology) Results: The rate of ITSS in patients with high Ki-67 expression was significantly higher than that in patients with low Ki-67 expression Impact: Automatic quantitative ITSS is expected to be applied to the study of ovarian tumors and more sites in the future. ITSS can effectively predict the expression of Ki-67 in ovarian cancer and provide valuable information for making treatment plan |
| 4282.
 | 116 | Differential Diagnosis of Borderline and Malignant Epithelial Ovarian Tumors: Insights from 3D APTWI to DKI Hua FAN1, Chuanchen ZHANG2, Peng WU3, and Lu HAN3
1Radiolgy, Liaocheng People’s Hospital, Liaocheng, China, 2Liaocheng People’s Hospital, Liaocheng, China, 3Philips Healthcare, Shanghai, China Keywords: Pelvis, fMRI, Amide Proton Transfer Weighted Imaging,Diffusional Kurtosis Imaging,Borderline epithelial ovarian tumors,Malignant epithelial ovarian tumors Motivation: Accurate diagnosis of BEOT and MEOT is crucial but remains challenging. Goal(s): To investigate the diagnostic ability of APTWI and DKI in differentiating BEOT from MEOT and their correlation with the Ki-67 LI. Approach: Those who had solid or solid-cystic lesions on one or both sides of the adnexal area on US and/or CT with a suspicion of malignancy were selected and underwent an MRI scan.and The parameters originate from them are analyzed Results: The sMTRasymmax, cMTRasymmean , MDmean , and age displayed excellent diagnostic ability for BEOT and MEOT. Significant and positive correlations exist between sMTRasymmax and MKmean variables with Ki-67 LI. Impact: This research is innovative and will promote the application of APT imaging technology in other soft tissue tumors. Researchs can be conducted in various aspects such as differential diagnosis and treatment responsiveness. |
| 4283.
 | 117 | The feasibility of synthetic MRI using T1- and T2-mapping for the characterization of endometrial cancer. Luca Russo1,2, Konstantinos Zormpas-Petridis1, Luana Ficociello1, Luca D'Erme2, Silvia Bottazzi2, Francesco Fanfani1,2, Benedetta Gui1, and Evis Sala1,2
1Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy, 2Università Cattolica del Sacro Cuore, Roma, Italy Keywords: Uterus, Tumor, Endometrial cancer, mapping Motivation: This study seeks to refine diagnostic precision for endometrial cancer, addressing the need for non-invasive biomarkers to improve preoperative assessment and risk stratification. Goal(s): To evaluate the feasibility of synthetic MRI using T1-, T2- and proton density(PD) mapping for characterization, reflecting underlying tumor biology. Approach: A pilot study with twenty patients using a 2D fast-spin-echo multi-saturation-delay multi-echo sequence to acquire synthetic MRI data, with analysis of T1, T2, and PD metrics compared with histopathological findings. Results: The preliminary results suggest differences in T1 relaxation times between endometrioid vs. non-endometrioid subtype and low vs. high grade, suggesting a correlation with histopathological architecture of tumors. Impact: If confirmed in larger studies, our results could adjust the approach to preoperative planning, allowing non-invasive depiction of tumor characteristics. This opens the door to personalized surgical strategies and streamline the decision-making process for adjuvant therapies, directly benefiting patient care. |
| 4284.
 | 118 | High Resolution MRI Protocol for Ovarian Cancer Screening Summer Joyce Batasin1, Hon J Yu1, Sheida Ebrahimi1, Stephane Loubrie1, Christopher Conlin1, Thien Truong1, Breana Hill2, Michael McHale3, Cynthia Santillan1, and Rebecca Rakow-Penner1,4
1Radiology, University of California, San Diego, San Diego, CA, United States, 2Gynecology Oncology, University of California, San Diego, San Diego, CA, United States, 3Obstetrics, Gynecology, & Reproductive Sciences, University of California, San Diego, San Diego, CA, United States, 4Bioengineering, University of California, San Diego, San Diego, CA, United States Keywords: Pelvis, Pelvis, Ovary, Diffusion Motivation: Addressing the critical need for improved ovarian cancer detection, given its high mortality rate and limited screening options. Goal(s): Explore diffusion properties of normal ovaries and lesions at high b-values (>1000 s/mm2 to develop a high-resolution ovarian cancer screening (OCS) protocol for average and high-risk individuals. Approach: Utilized multishell diffusion-weighted MRI (DW-MRI) with simultaneous multi-slice excitation (Multiband) to capture high-resolution images in healthy, high-risk BRCA 1/2, and patients with potential cancer based on prior imaging. Results: Distinct abnormal lesion types exhibited distinct contrasts at high b-values, with normal ovaries showing no signal, as expected. Impact: Preliminary ovarian cancer MRI results with multishell DWI with Multiband, show promise in a new screening tool for ovarian cancer screening. This marks a significant step toward non-invasive screening advancements for high-risk individuals and early detection strategies. |
| 4285.
 | 119 | Propeller Diffusion-Weighted Imaging of Endometrial Cancer with Deep Learning Reconstruction Priya R Bhosale1, Xinzeng Wang2, Revathy B Iyer1, Arnaud Guidon3, Ken-Pin Hwang1, and Jingfei Ma1
1MD Anderson Cancer Center, Houston, TX, United States, 2GE Healthcare, Houston, TX, United States, 3GE Healthcare, Boston, MA, United States Keywords: Pelvis, Cancer Motivation: Diffusion-weighted imaging (DWI) is used in endometrial cancer imaging for improved specificity and accuracy in determining the depth of myometrial invasion compared to T2-weighted imaging alone. However, conventional echo planar imaging based DWI, including reduced FOV EPI, is prone to artifacts from field inhomogeneity in the area of endometria and from peristalsis. Goal(s): To improve the diffusion-weighted imaging of endometrial cancer Approach: Propeller DWI is robust to field inhomogeneity and motion. Deep learning (DL) reconstruction is used to mitigate its SNR deficiency and overcome the need for long scan time. Results: DL DW-PROPELLER improved the SNR and in-plane resolution of the conventional DW-PROPELLER Impact: DL
DW-PROPELLER improved the SNR and in-plane resolution of the conventional
DW-PROPELLER, enabling body DW-PROPELLER in clinically feasible scan time. Compared to the rFOV
DW-EPI, DL DW-PROPELLER significantly improves the geometric accuracy and the
readability of high b-value images. |
| 4286.
 | 120 | Value of amide proton transfer (APT) and extracellular volume fraction (ECV) in differentiating P53- abnormal and wild-type endometrial cancer Jun Li1, Shifeng Tian1, Hanyue Zhang1, Liangjie Lin2, Peng Sun2, Ailian Liu1, and Dandan Zheng3
1Department of Radiology, The First Affiliated Hospital, Dalian Medical University, Dalian, China, 2Philips (China) Investment Co., Ltd., Shanghai, China, 3Clinical & Technique Support, Philips Healthcare, Beijing, China Keywords: Uterus, Cancer Motivation: P53- abnormal and P53-wild-type endometrial cancer patients require distinct treatment owing to their unique pathological characteristics. Goal(s): To investigate the diagnostic potential of APT and ECV measurements in distinguishing p53-abn from p53-wt in EC. Approach: APT SI and T1 mapping-derived ECV values were compared between the two groups. Logistic regression was utilized to develop a predictive model that combines parameters, and receiver operating characteristic (ROC) analysis was conducted to assess diagnostic performance. Results: APT and ECV can proficiently differentiate between p53-abn and p53-wt in endometrial cancer. Moreover, the discriminatory efficacy is enhanced significantly when both tests are employed concurrently. Impact: P53- abnormal and P53-wild-type endometrial cancer patients require distinct treatment owing to their unique pathological characteristics. Precise and timely classification can precise endometrial cancer treatment, aiding in accurately classifying patients and devising personalized early treatment plans. |
| 4287.
 | 121 | Radiomic features Based on Multi-sequence MRI Predict Immunohistochemical Biomarkers of Endometrial Cancer Liting Shen1, Xiaojun Chen2,3, Xue Wang1, Lu Han4, and Peng Wu4
1The Second Affiliated Hospital and Yuying Children′s Hospital of Wenzhou Medical University, Wenzhou, China, 2Affiliated Jinhua hospital, Jinhua, China, 3Zhejiang University School of Medicine, Jinhua, China, 4Philips Healthcare, Shanghai, China Keywords: Pelvis, Radiomics Motivation: A non-invasive, precise, and efficient preoperative evaluation method is crucial for the prognosis of patients with EC. Goal(s): The aim of this study was to construct MRI-based radiomics models to predict immunohistochemical biomarkers and assess the relationship between radiomic features and the Ki-67 proliferation rate in EC. Approach: The receiver operating characteristic (ROC) curves were analyzed to evaluate the performance of the radiomics models. Results: Both single sequence and multi-sequence models demonstrated good diagnostic performance, although the diagnostic performance of multi-sequence models outperformed the single sequence models. Impact: MRI-based radiomic features are promising predictors of immunohistochemistry and prognosis in EC. |
| 4288.
 | 122 | Amide proton transfer imaging for predicting pathological grading of cervical cancer Qianyu Zhang1, Shifeng Tian1, Qingling Song1, Lihua Chen1, Changjun Ma1,2, Nan Wang1, Qingwei Song1, Liangjie Lin3, Peng Sun3, Jiazheng Wang3, and Ailian Liu1
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Medical Department of Dalian University of Technology, Dalian, China, 3Clinical and Technical Support, Philips Healthcare, Beijing, China Keywords: Uterus, Uterus, cervical carcinoma; Amide proton transfer imaging； Pathological grading Motivation: The pathological grading of cervical cancer affects clinical decision-making, and there is currently almost no research on APT for the pathological grading of cervical cancer. Goal(s): Explore the value of amide proton transfer imaging in evaluating the pathological grading of cervical cancer. Approach: We delineate the ROI of each parameter and use the final mean for statistics to obtain the results. Results: The results indicate that APT can be used to evaluate the pathological grading of cervical cancer. Impact: Pathological grading is the gold standard, and APT has a good evaluation effect on pathological grading of cervical cancer, which is beneficial for clinical doctors to better formulate treatment strategies and serve patients more accurately. |
| 4289.
 | 123 | Application of Time-dependent Diffusion MRI for Evaluation of Differentiation Grades in Cervical Squamous Cell Carcinoma Tiebao Meng1, Huiming Liu1, Haoqiang He1, Chuanmiao Xie1, Ni He1, Jialu Zhang2, and Weijing Zhang1
1Radiology Department, Sun Yat-sen University Cancer Center, Guangzhou, China, 2GE Healthcare, MR Research, Beijing, China Keywords: Pelvis, Cancer Motivation: Differentiation grade is an important pathological risk factor associated with metastasis and prognosis in cervical cancer. Our study aimed to investigate the possibility of using OGSE to evaluate differentiation grades in cervical squamous cell carcinoma (CSCC) before treatment. Goal(s): The primary goal is to investigate the feasibility of evaluating differentiation grades in CSCC with OGSE, aiming to enhance diagnostic precision and prognostic insights. Approach: Through an innovative OGSE method, this study explores key parameters for assessing differentiation grades in CSCC, contributing to noninvasive diagnostic methodologies. Results: The study reveals significant differences in cellularity and fin between well/moderately and poorly differentiated CSCC grades. Impact: This
time-dependent diffusion approach provides a new direction for noninvasively
differentiating grades in CSCC. |
| 4290.
 | 124 | Quantitative Assessment of Perineural Invasion in Cervical Carcinoma using IVIM Combined with mDixon-Quant Multiparameter Imaging Xie Zongyuan1, Tian Shifeng1, and Liu Ailian1
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China Keywords: Uterus, Uterus Motivation: Perineural invasion (PNI) is a significant prognostic factor in cervical carcinoma（CC）. The utilization of quantitative parameters derived from IVIM and mDixon-Quant MRI offers a new approach for evaluating PNI in CC.
Goal(s): This study aimed to investigate the potential value of IVIM and mDixon-Quant multiparameter imaging in quantitatively assessing PNI in CC.
Approach: MRI scans were conducted on 36 patients with CC to explore the correlation and diagnostic efficacy between MRI quantitative parameters and PNI in CC. Results: The combined assessment of IVIM and mDixon-Quant quantitative parameters demonstrated a correlation with PNI in CC ,could determine the status of CC PNI. Impact: The quantitative parameters derived from IVIM and mDixon-Quant MRI are significantly associated with PNI in cervical carcinoma. These parameters hold promising clinical application prospects for evaluating neural invasion in cervical carcinoma. |
| 4291.
 | 125 | The Application of Time Dependent Diffusion Magnetic Resonance Imaging in Clinical Staging and Pathological Differentiation of Cervical Cancer Junjun Li1, Kai Ai2, Yi Zhu3, Zhigang Wu4, Yi Xiao1, Yanhui Hao1, and Jianxin Guo1
1The First Affiliated Hospital of Xi'an Jiaotong University, Xi’an, China, 2Philips Healthcare, Xi’an, China, 3Philips Healthcare, Beijing, China, 4Philips Healthcare, Shenzhen, China Keywords: Uterus, Cancer, Cervical Cancer;Time-dependent diffusion magnetic resonance imaging Motivation: Time-dependent diffusion magnetic resonance imaging (TDD-MRI) remains underexplored in the clinical staging and pathological differentiation of cervical cancer. Goal(s): To investigate the application value of parameters derived from TDD-MRI (d, vin, Dex) in the clinical staging and pathological differentiation of cervical cancer. Approach: We collected traditional DWI and TDD-MRI data from cervical cancer patients, comparing the respective parameters' efficacy in clinical staging and pathological differentiation. Results: TDD-MRI outperformed ADC in staging cervical cancer, with combined parameters yielding an AUC of 0.90, sensitivity of 100%, and specificity of 70% for early-stage detection. Impact: This study confirms the advantages of TDD-MRI parameters in the clinical staging of cervical cancer, especially for discerning early from advanced stages, offering greater accuracy than traditional DWI-ADC. |
| 4292.
 | 126 | Predicting lymph node metastasis in early cervical cancer using spatial features at perfusion habitat Imaging based on DCE-MRI Wei Wang1, Mengchao Zhang1, and Yueluan Jiang2
1China-Japan Union Hospital of Jilin university, Changchun, China, 2MR Research Collaboration, Siemens Healthineers,, Beijing, China Keywords: Uterus, Cancer Motivation: Cervical cancer has significant spatial heterogeneity, resulting in tumor recurrence and metastasis. The exploration of tumor spatial features may be valuable for predicting lymph node metastasis in cervical cancer. Goal(s): Combined with landscape ecological analysis and DCE-MRI construction of blood perfusion landscape to predict lymph node metastasis of early cervical cancer. Approach: Based on DCE-MRI pharmacokinetic parameter map, perfusion habitat imaging was constructed, and landscape ecological analysis was introduced to extract the spatial features of habitat imaging. Results: The spatial heterogeneity features of blood perfusion obtained by landscape analysis can predict lymph node metastasis of early cervical cancer. Impact: In
this study, we innovatively introduced landscape analysis method to obtain the
spatial heterogeneity features of blood perfusion, which demonstrated good
performance for predicting lymph node metastasis of early cervical cancer. |
| 4293.
 | 127 | The value of APT combined with mDIXON-Quant imaging in predicting lymph node metastasis of cervical cancer SHUO ZHANG1, SHIFENG TIAN1, and AIlian LIU1
1the First Affiliated Hospital of Dalian Medical University, Dalian, China Keywords: Pelvis, Tumor Motivation: According to the literature, the 5year survival rate of early cervical cancer patients with LNM positive is only about 65%, which is lower than that of patients with LNM negative. Goal(s): Evaluate the lymph node status before operation. Approach: The APT, R2* and T2* values were measured by doctors with two years experience in imaging diagnosis. KS test was used to test the normality of the data, and independent sample T test or Mann-Whitney U test was used to compare the differences between the two groups. Results: APT and mDixon-Quant multi-parameter imaging are helpful to predict the lymph node metastasis of cervical cancer. Impact: APT and mDixon-Quant multi-parameter imaging are helpful to predict lymph node metastasis of cervical cancer, to make clinical decisions and to improve the prognosis of patients. |
| 4294.
 | 128 | Better diagnostic value and feasibility of Deep Learning DWI in uterine malignant neoplasms Jian Li1, Ling Song1, Yueluan Jiang2, and Thomas Benkert3
1The First Hospital of China Medical University, Shenyang, China, 2MR Research Collaboration, Siemens Healthineers, Bejing, China, 3MR Application Predevelopment, Siemens Healthineers AG, Erlangen, Germany Keywords: Pelvis, Uterus Motivation: Conventional diffusion-weighted imaging (c-DWI) of the uterus is time-consuming, and the lesion details are not well-defined. Goal(s): To introduce a deep learning (DL) DWI sequence in uterine MRI and compare it with conventional DWI (c-DWI) to investigate its impact on examination time, image quality, lesion significance, diagnostic reliability, as well as contrast ratio (CN), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). Approach: 10 patients with uterine malignancy disease were included in this study. Results: There is no significant difference in objective assessment between the two techniques, while the overall image quality of DL-DWI is better than c-DWI (p < 0.01). Impact: The research investigated the utilization of DL-DW in the uterus, which led to shorter examination times and significantly improved image quality. This analysis has the potential to examine other pelvic organs, such as the prostate, to assess pelvic lesions. |