13:45 | 0172.
| An AI-Based Solution for MR Image Analysis of the Female Reproductive System Javad Khaghani1,2, Siavash Khallaghi1,2, Saqib Basar1,2, Yosef Chodakiewitz2, Rajpaul Attariwala1,2, and Sam Hashemi1,2 1Voxelwise Imaging Technology Inc, Vancouver, BC, Canada, 2Prenuvo, Vancouver, BC, Canada Keywords: Uterus, Reproductive, Female Reproductive System, Machine Learning, Artificial Intelligence Motivation: To quantify female reproductive anatomy in MR imaging. Goal(s): To develop an AI-based solution to segment the regions of interest (RoIs) for the uterine zone, ovaries, pelvic fluid, and detect benign uterine conditions. Approach: A deep learning based method is applied on a large representative population of 9334 sagittal T2-weighted female pelvis scans to extract normative menstrual cycle- and aging-curves for various RoIs. Results: Our proposed normative curves define the standard menstrual cycle and aging trends. RoI segmentation, fibroid, and cyst detection models achieve average foreground dice, specificity and accuracy scores of 83.9%, 95.2% and 94.37%, respectively. Impact: Proposing a robust, precise AI solution for analyzing female reproductive organs on MR imaging, including uterine zones, ovaries, pelvic fluid, and fibroids/cysts. Using this, we define standard aging and menstrual cycle curves for women. |
13:57 | 0173.
| The MRI-based radiomics nomogram for predicting massive hemorrhage during dilatation and curettage Feng Gao1, Le Fu1, Jiejun Cheng1, Jie Shi2, and Yong Zhang2 1Shanghai first maternity and infant hospital, Shanghai, China, 2MR Research, GE Healthcare, Beijing, China Keywords: Uterus, Uterus, Cesarean scar pregnancy; Motivation: Dilation and Curettage (D&C) is the preferred treatment for Cesarean scar pregnancy (CSP) patients. However, current methods for preoperative assessment of intraoperative bleeding are limited. Goal(s): To develop a nomogram using radiomics and MRI-based clinical information to predict massive hemorrhage during D&C in CSP patients. Approach: 116 CSP patients were enrolled. Radiomics features and clinical variables were analyzed to conduct the radiomics and the clinical models. The nomogram was established by combining Radscore and the selected clinical variables. Results: Among the three models, the nomogram achieved the highest prediction performance with an AUC of 0.926 for test data. Impact: This study first developed the MR-based
radiomics nomogram to accurately predict massive hemorrhage preoperatively in
CSP patients. |
14:09 | 0174.
| Longitudinal Trends and Effects in Placenta Multiparametric MRI (mpMRI) in Early Gestation Raymi Odalys Ramirez1, Carla Janzen2, Jennifer Kim3, Brian Lee3, Sherin U Devaskar2, and Kyung Hyun Sung 4 1Physics and Biology in Medicine, University of California Los Angeles, Los Angeles, CA, United States, 2University of California Los Angeles, Los Angeles, CA, United States, 3Pediatrics, University of California Los Angeles, Los Angeles, CA, United States, 4Radiology, University of California Los Angeles, Los Angeles, CA, United States Keywords: Placenta, Placenta Motivation: This study is motivated by the clinical need to understand and monitor early gestational placenta development. Goal(s): The goal is to show that multi-parametric placenta imaging during early gestation is a clinical tool to flag possible pregnancies in danger of multiple adverse effects. Approach: This study includes data from a previous perspective study where MRI was taken at two separate timepoints during early gestation. Information on volume, perfusion, and oxygenation were evaluated for longitudinal trends as well as changes driven by obesity and fetal sex outcomes. Results: We show statistically significant differences of longitudinal trends in most of the parameters between study cohorts. Impact: The results in this study could allow for clinicians to gain insight on pregnancy development within the early second trimester currently unavailable with the current imaging with Doppler ultrasound. This will allow for overall life improvement for mother and fetus. |
14:21 | 0175.
| Using Virtual Magnetic Resonance Elastography and IVIM to Evaluate Placental Microstructure and Microcirculation in Gestational Hypertension Jing Deng1, Yuwei Cao1, Feifei Qu2, Aining Zhang1, Meng Zhao1, Xin Zhou3, Xihu Mu1, Yanglei Wu4, Jiacheng Song1, Feiyun Wu1, and Ting Chen1 1Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2MR Research Collaboration, Siemens Healthineers, Shanghai, China, 3Department of Obstetrics & Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 4MR Research Collaboration, Siemens Healthineers, Beijing, China Keywords: Placenta, fMRI, Gestational hypertension, perfusion, placenta, virtual magnetic resonance elastography Motivation: Detecting placental dysfunction using MRI before placental macrovascular lesions by ultrasound may help the early identification of placental pathologic changes in gestational hypertension (GH). Goal(s): To explore changes in placental elasticity and perfusion in GH and control groups using MRI. Approach: Placental elasticity and perfusion were assessed using virtual magnetic resonance elastography (vMRE) and intravoxel incoherent motion (IVIM). The vMRE and IVIM parameters, MR morphologic parameters, and ultrasound and lab test results were compared between the two groups. Results: Placental stiffness and perfusion fraction helped distinguish between the two groups, with no substantial differences in the other parameters. Impact: Virtual magnetic resonance elastography and intravoxel incoherent motion can quantify placental elasticity and circulation at the microscopic level, and are superior to the ultrasound parameters, in gestational hypertension. They may serve as a vital noninvasive supplement to assess placental dysfunction. |
14:33 | 0176.
| Quantitative Placental R2* Mapping on Rhesus Macaques with Thrombotic and Inflammatory Injury Model Ruo-Yu Liu1, Logan T. Keding2,3, Jessica Vazquez2,3, Jitka Starekova4, Ante Zhu4,5, Ruiming Chen1, Heather A. Simmons2,6, Puja Basu2, Andres F. Mejia2, Aleksandar K. Stanic6, Dinesh Shah6, Kevin M. Johnson1,4, Diego Hernando1,4, Thaddeus G. Golos2,3,6, and Oliver Wieben1,4 1Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, WI, United States, 3Department of Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, WI, United States, 4Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 5Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 6Department of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI, United States Keywords: Placenta, Quantitative Imaging, R2* mapping, Biomarkers, Contrast Agents, Ferumoxytol Motivation: Pregnancy complications are often associated with placenta dysfunction, which lacks non-invasive assessment in early pregnancy. Goal(s): Evaluating placental R2* as a non-invasive and quantitative biomarker to identify and monitor pregnancy complications. Approach: We introduce a novel thrombotic and inflammatory placental injury model of rhesus macaques and report mean values, histograms, and spatial distribution of placental R2* based on blood oxygenation level dependent (BOLD) MR imaging at different gestational ages before and after iron nanoparticle (ferumoxytol) administration. Results: Higher overtime and post-contrast increase in mean values and more heterogeneous spatial patterns of R2* are observed in placentas with induced injury. Impact: A refined nonhuman primate model for thrombosis and inflammation is introduced for investigating placental pathology. Larger R2* increases over time and immediately after ferumoxytol injections suggest the potential for R2* to be an indicator of pathology with or without contrast. |
14:45 | 0177.
| Simplified Anisotropic IVIM using Spherical Means and an Application in the Placenta Paddy J. Slator1,2, Luke Pleva3,4, Lucy Higgins5,6, Edward Johnstone5,6, Alexander Heazell5,6, Daniel C. Alexander7, Josephine H. Naish3,4, and Kate Duhig5,6 1Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, United Kingdom, 2School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom, 3BHF Manchester Centre for Heart and Lung Magnetic Resonance Research, University of Manchester, Manchester, United Kingdom, 4Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom, 5Maternal and Fetal Health Research Centre, Institute of Human Development, University of Manchester, Manchester, United Kingdom, 6St. Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, University of Manchester, Manchester, United Kingdom, 7Centre for Medical Image Computing and Department of Computer Science, University College London, London, United Kingdom Keywords: Placenta, Placenta Motivation: The intravoxel incoherent motion (IVIM) model can separately assess diffusion in tissue and perfusion in vasculature. However, anisotropic extensions to IVIM that model coherently orientated vasculature are complex and difficult to fit. Goal(s): Enhance the IVIM model to account for macroscopic anisotropy in vascular structures, while minimizing the increase in model complexity. Approach: We model perfusion and diffusion compartments using constrained tensors and estimate the tensor parameters via the spherical mean. Results: Our spherical mean anisotropic IVIM approach quantifies and maps anisotropy in perfusion and diffusion compartments and captures microstructural and microcirculatory alterations in the placenta during pregnancy. Impact: Existing anisotropic IVIM models are complex and clinically impractical. We demonstrate a spherical mean approach that simplifies the disentanglement of perfusion- and diffusion-related anisotropy. This can enable rapid quantification of biomarkers for detecting microcirculatory and microstructural changes in anisotropic tissue. |
14:57 | 0178.
| A combined T2* weighted gradient echo and 1D quantitative flow sequence for investigating placental function George Jack Hutchinson1, Amy Turnbull1, Louise Dewick2, Chris Bradley1,3, Andrew Peters1, Nia Jones2, Kate Walker2, and Penny Gowland1 1The Sir Peter Mansfield Imaging Centre, The University of Nottingham, Nottingham, United Kingdom, 2The School of Medicine, The University of Nottingham, Nottingham, United Kingdom, 3Biomedical Research centre, Hospital NHS Trust, The National Institute for Health Research, Nottingham, United Kingdom Keywords: Placenta, Placenta, Quantitative flow Motivation: Both oxygenation and blood flow are key measures of placental function; if we could dynamically, and simultaneously measure T2* and flow we could investigate placental function over time. Goal(s): To Implement and test a gradient echo, quantitative flow sequence with EPI readout in the placenta. Approach: 4 participants were scanned at 3T using the sequence, and the T2* and velocity maps produced were investigated. Results: The T2* weighted image retained sufficient contrast, and the quantitative flow was repeatable across subjects, measuring similar velocities in the placenta (<0.1cm/s) that has previously been measured with MRI. Impact: This sequence has promise for dynamically investigating placental function, simultaneously providing information about oxygenation and blood flow. This will allow us to evaluate placental function in compromised pregnancies over time, and investigate the role of placental contractions. |
15:09 | 0179.
| Evaluation of a cervical cancer-specific restriction spectrum imaging model on an independent pilot cohort using PET/MRI: pre- and post-therapy Elin Lundström1,2,3, Ana E Rodríguez-Soto1, Elisabeth Hedlund3, Björg Jónsdóttir4, Katarzyna Kozar3, Christopher Conlin1, Stephane Loubrie1, Stephan Jordan1, Alexandra Schlein1, Sheida Ebrahimi1, J Stefan Peterson5, Arnaud Guidon6, Joshua Kuperman1, Tyler M Seibert1,7,8, Anders Dale1,9, Per Liss2,3, Anthoula Koliadi10,11, and Rebecca Rakow-Penner1 1Department of Radiology, University of California San Diego, La Jolla, CA, United States, 2Department of Surgical Sciences, Uppsala University, Uppsala, Sweden, 3Center for Medical Imaging, Uppsala University Hospital, Uppsala, Sweden, 4Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden, 5GE Healthcare, Stockholm, Sweden, 6Global MR Application and Workflow, GE Healthcare, Boston, MA, United States, 7Department of Radiation Medicine, University of California San Diego, La Jolla, CA, United States, 8Department of Bioengineering, University of California San Diego, La Jolla, CA, United States, 9Department of Neuroscience, University of California San Diego, La Jolla, CA, United States, 10Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden, 11Department of Oncology, Uppsala University Hospital, Uppsala, Sweden Keywords: Pelvis, Diffusion/other diffusion imaging techniques, restriction spectrum imaging, cervical cancer Motivation: Restriction spectrum imaging (RSI) can potentially improve cervical cancer evaluation pre- and post-therapy, particularly in separating persistent malignancy from post-treatment edema. Goal(s): To evaluate a cervical cancer-specific RSI model for assessment on an independent pilot cohort examined with combined PET/MRI. Approach: Four patients underwent PET/MRI before (chemo)radiotherapy. Two of them also underwent PET/MRI within 4 weeks of treatment, MRI 3 months post-treatment and PET/MRI 6 months post-treatment. Two healthy volunteers underwent MRI only. Results: Preliminary results showed increased tumor conspicuity on RSI compared to conventional pre-therapy PET/MRI and promising results early post-therapy. Impact: Cervical cancer-specific restriction spectrum imaging (RSI), evaluated on an independent pilot cohort, indicates increased tumor conspicuity compared to conventional pre-therapy PET/MRI and promising results post-therapy. Future work will target early therapy response assessment in combined RSI-PET/MRI at a larger scale. |
15:21 | 0180.
| APTw Combined with Multiple Models DWI of Endometrial Cancer: Correlations between Multimodal Parameters and HIF-1α Expression Changjun Ma1,2, Shifeng Tian1, Qingling Song1, Lihua Chen1, Liangjie Lin3, Jiazheng Wang3, and Ailian Liu1 1Department of Radiology,, The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Department of Medicine, Dalian University of Technology, Dalian, China, 3Clinical and Technical Support,, Philips Healthcare, Beijing, China Keywords: Pelvis, Pelvis Motivation: Hypoxia inducible factor (HIF-1α) is a major transcriptional factor regulating gene expression under hypoxic conditions and could serve as an important biomarker for tumor aggressiveness or radiation resistance. Goal(s): This study aimed to investigate whether the multimodal functional MRI technique can be used for quantitatively measuring HIF-1α expression. Approach: APT, ADC, D, D*, f, MK, and MD values were calculated and compared between HIF-1α high expression and HIF-1α low expression groups. Results: APT, ADC, D, D*, MK and MD values were significantly higher in high HIF-1α expression than in low HIF-1α expression groups, whereas f value was significantly lower in high HIF-1α expression . Impact: The quantitative parameters of APTw combined with multi-model diffusion-weighted sequences allowed quantitative assessment of EC HIF-1α expression, and the combined quantitative parameters further enhanced the assessment efficacy. |
15:33 | 0181.
| A Radiogenomics Model for Classifying Molecular Subtypes of Endometrial Cancer: A Two-Center Retrospective Study Wenyi Yue1, Ruxue Han2, Haijie Wang3, Chen Zhang4, Yang Song4, Xiaoyun Liang3, He Zhang5, Hua Li2, and Qi Yang1 1Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China, 2Department of Gynecology and Obstetrics, Beijing Chaoyang Hospital, CapitalMedical University, Beijing, China, 3Institute of Research and Clinical Innovations, Neusoft Medical Systems Co., Ltd, Beijing, China, 4MR Research Collaboration; Siemens Healthineers, Beijing, China, 5Department of Radiology,Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China Keywords: Uterus, Uterus, Radiogenomics Motivation: To explore genetically based molecular profiling of endometrial cancer (EC) patients to delineate prognostic risk groups. Goal(s): To demonstrate the potential of radiogenomics for classification of EC molecular subtypes, 254 EC patients with histologically and genetically proven EC from two-center were enrolled. Approach: A radiomics model based on four sequences was combined with genomics features to form the final diagnosed model. Results: Our results showed a medium-to-high diagnostic performance to distinguish molecular subtypes with AUC of 0.849 and 0.673 in internal and external test sets, respectively. The radiogenomics model could guide clinicians in administering individual treatments for EC patients. Impact: Our results demonstrate that the predictive model derived from MRI
imaging features holds significant promise in identifying molecular subtypes in endometrial cancer. This model has the potential to guide clinicians in tailoring
individualized treatments for EC patients. |