Digital Poster
Female Pelvis
ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i
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Computer Number: 33
2134. Quantitative
MRI in twin-to-twin transfusion syndrome reveals heterogeneity
of placental perfusion
E. Englund, A. Barker, D. Mirsky, N. Behrendt, M. Meyers
University of Colorado, Anschutz Medical Campus, Aurora, United States
Impact: Qualitative and quantitative MRI of the placenta
may provide insight into pathologic changes secondary to
twin-to-twin transfusion syndrome. Differences in D* may
imply variations in microvascular flow in the donor versus
recipient placental regions.
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Computer Number: 34
2135. Comprehensive
and individualised placental MRI for assessing placental
development in health and disease
D. Cromb, J. Aviles Verdera, M. Hall, A. Price, J. Hajnal,
M. Rutherford, L. Story, S. Counsell, J. Hutter
King's College London, London, United Kingdom
Impact: Combining placental MRI data in large cohorts of
healthy pregnant participants with normative modelling
allows individualised assessments of placental structure and
function to be performed, with the potential to help assess
and understand when placental development is altered.
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Computer Number: 35
2136. Risk
stratification for pregnancies with subamniotic/subchorionic
hematoma by placental MRI
K. Harada, Y. Himoto, Y. Chigusa, S. Tomotaki, Y. Kurata, S.
Morita, Y. Matsumoto, A. Kido, M. Kirita, S. Minamiguchi, M.
Mandai, Y. Nakamoto
Graduate School of Medicine, Kyoto University, Kyoto, Japan
Impact:
When interpreting cases of SAH/SCH, particular attention should be paid to the presence of oligohydramnios, while it is important to avoid excessively negative prognostic assessments in cases with only bloody amniotic fluid. |
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Computer Number: 36
2137. Prediction
of Risk Stratification and Proliferation Status in Endometrioid
Endometrial Adenocarcinoma based on Time-Dependent Diffusion MRI
Y. zhao, M. Cheng, F. zhao, Y. Chen, Z. Zhao, H. Ma, G.
Wang, D. Wang, Z. Xue, X. Zhang, H. Yin, F. Li, J. Wang
Tianjin Medical University General Hospital, Tianjin, China
Impact: high-risk and high-proliferation groups had
smaller cell diameter derived from td-dMRI compared to
low-risk and low-proliferation groups
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Computer Number: 37
2138. Efficacy
of Super-Resolution DLR for Scan Time Reduction with Keeping
Image Quality on Female Pelvic MRI as compared with Conventional
DLR with ZIP
T. Ueda, N. Yazawa, K. Yamamoto, S. Harada, T. Matsuyama, S.
Hanamatsu, H. Nagata, M. Nomura, Y. Ozawa, T. Yoshikawa, D.
Takenaka, Y. Ohno
Fujita Health University School of Medicine, Toyoake, Japan
Impact: PIQE has a potential to reduce scan time and
keep image quality with low-spatial resolution protocol as
compared with standard protocol reconstructed by DLR with
ZIP on female pelvic MRI.
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Computer Number: 38
2139. MRI-based
Intratumoral and Peritumoral Radiomics for Assessing Deep
Myometrial Invasion with Early-Stage Endometrioid Adenocarcinoma
J. Yang, Q. Bi, Y. Wu, Y. Song
The First People’s Hospital of Yunnan Provence, Kunming, China
Impact: MRI-based radiomics models effectively predict
deep myometrial invasion (DMI) in early-stage endometrioid
adenocarcinoma (EAC). The multimodal radiomics model from
the intratumoral and peritumoral regions expanded by 5 mm
offers improved performance for detecting DMI in early-stage
EAC.
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Computer Number: 39
2140. Evaluation
of 23Na signals in gynecological malignancies using 23Na MRI
T. Saida, M. Yoshida, Y. Nakahashi, M. Shindo, K. Yamada, T.
Ishimori, J. Kwon, T. Nakajima
University of Tsukuba, Tsukuba, Japan
Impact: 23Na MRI holds potential to differentiate benign
from malignant lesions, improving diagnostic accuracy and
understanding of disease pathophysiology.
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Computer Number: 40
2141. Evaluating
the therapeutic efficacy of high intensity focused ultrasound
for uterine fibroids by functional MR
X. Xu, P. Zhang, J. He, X. Chen, J. wu, H. Chen, C. Shi, L.
Luo
The First Affiliated Hospital of Jinan University, Guangzhou, China
Impact: We found the value of MRI in predicting the
efficacy and tumor regrowth of HIFU treatment in patients
with uterine fibroids. It is important for targeted disease
management and has the potential to extend the duration of
uterine fib reduction.
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Computer Number: 41
2142. The
value of a scoring model based on MRI signs to predict placenta
accreta spectrum disorders and adverse clinical outcomes
X. Zheng, F. Ding, X. Chen, G. Wang, J. Liu
The Fourth Central Clinical School, Tianjin Medical University, Tianjin, China
Impact: MRI-scoring scale can be used as a valid
clinical tool to diagnose PASDs and predict adverse clinical
outcomes.
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Computer Number: 42
2143. Radiomics
model with reduced field-of-view DWI for predicting LVSI and
high-risk histological type in endometrial cancer
A. Takada, D. Di Giovanni, T. Horikoshi, T. Tsuboyama, H.
Yokota, S. Kagitani, E. McNabb, T. Uno, C. Reinhold
McGill University, Montreal, Canada
Impact: This study impacts endometrial cancer care by
radiomics analysis using Bayesian modeling with MRI-derived
radiomic features to predict lymphovascular space invasion
and high-risk histology, supporting personalized treatment.
Findings suggest the potential of rFOV DWI.
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Computer Number: 43
2144. End-to-End
Prediction of Massive Hemorrhage During Dilatation and Curettage
in Cesarean Scar Pregnancy Patients Using a 3D VGG Model
A. Cao, J. Shi, J. Cheng, F. Gao, L. Fu
Shenzhen University, Shenzhen, China
Impact: This study presents an effective deep-learning
solution for predicting hemorrhage in CSP patients, reducing
manual intervention, and enhancing automation in clinical
practice. The 3D VGG model's high accuracy and minimal
preprocessing may streamline clinical decision-making and
improve patient safety.
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Computer Number: 44
2145. Association
of Radiomic Features of ADC and IVIM Placental maps with
Clinical Outcomes in Normal and Hypertensive Pregnancies
C. Herrera, Q. Do, Y. Xi, D. Owen, B. Fei, C. Spong, D.
Twickler, M. Lewis
UT Southwestern Medical Center, Dallas, United States
Impact: Magnetic resonance imaging based radiomics of
DWI data can distinguish pregnancies with normal from
chronic hypertension pregnancies. Future work to correlate
with pregnancy outcomes offers the potential for early risk
assessment and improved obstetric management.
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Computer Number: 45
2146. Comparative
Analysis of 1.5T and 3.0T MR-HSG for Tubal Imaging in Female
Infertility: A Prospective Study
J. Ding, X. Wang, H. Ding, C. Mao, W. Zhou, Q. Meng, J. Shi
The First Affiliated Hospital of Soochow University, Suzhou, China
Impact: 3.0T MR-HSG with thin-slab MIP reconstruction
can improve the assessment of tubal patency, potentially
serving as a one-stop imaging solution for female
infertility evaluation.
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Computer Number: 46
2147. Predicting
Preoperative Microsatellite Instability of Endometrial Cancer
Using Amide Proton Transfer-Weighted Imaging and T2 Mapping
L. Chang, L. Cheng, X. Xu, L. Du, Y. Xu, D. Pylypenko, T.
Xu, X. Meng, D. Yu, Q. Wang, F. Wang
Qilu Hospital (Qingdao) of Shandong University, Qingdao city, Shandong province, China
Impact: Our results demonstrate the promising potential
of this combined model for the preoperative assessment of
MSI in EA, which assists in formulating clinical therapeutic
strategies and assessing prognosis.
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Computer Number: 47
2148. Time-Dependent
Diffusion MRI with Whole-Tumor Histogram Analysis for Assessing
Cervical Cancer: A Feasibility Study
Z. TianHui, Y. Yingsi, D. Xiumei, L. Hai, Y. Ziming, Y.
Jing, F. Wexiong
Mei Zhou People's Hospital（Huang Tang）, Guang Dong Province, China
Impact: This study highlights time-dependent diffusion
MRI with whole-tumor histogram analysis as a valuable tool
for non-invasively assessing cervical cancer aggressiveness,
potentially improving treatment planning and patient
outcomes.
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Computer Number: 48
2149. Multiparametric
MRI–based Radiomics to Predict the Depth of Myometrial Invasion
of Endometrial Carcinoma
M. Bai, J. Luan, P. WU, L. Han
Liaocheng People's Hospital, Liaocheng, China
Impact:
The performance of MRI appears strongly dependent on radiologist’s experience with a relatively high interobserver variability. 3D segmentation can better reflect tumor heterogeneity. Preoperative radiomics based on multiparameter MRI showed higher diagnostic performance, may enhanced decision-making capabilities of radiologists. |
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