Digital Poster
Cancer in the Body
ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i
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Computer Number: 113
2687. Comparison
of Capability for Distinguishing Malignant from Benign Prostatic
Areas among 3D CEST Imaging, DWI and Combined Descriptors
T. Ueda, K. Yamamoto, Y. Sano, M. Ikedo, M. Ozaki, M. Yui,
H. Nagata, M. Nomura, T. Yoshikawa, D. Takenaka, Y. Ozawa,
Y. Ohno
Fujita Health University School of Medicine, Toyoake, Japan
Impact: 3D CEST imaging is considered at least as
valuable as DWI and can improve capability for
differentiation of malignant from benign prostatic areas
with DWI. 3D CEST imaging may play as complementary role
for management of suspected prostatic cancer patients.
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Computer Number: 114
2688. Histogram
analysis of amide proton transfer imaging for predicting
response to neoadjuvant chemoradiotherapy in rectal
adenocarcinoma
W. Chen, W. Yuan, Z. Jia, L. Tang, J. Peng, K. Deng, X. Liu
The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
Impact: Through the establishment of models and model
comparison, the APTw-histogram model and the APTw-clinical
combined model demonstrated strong diagnostic efficacy and
clinical practicality in predicting LARC patients'
responsiveness to nCRT, offering new insights for early
clinical decision-making.
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Computer Number:
2689. WITHDRAWN |
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Computer Number: 115
2690. Leveraging
Zero Echo Time (ZTE) MRI and ADC for Radiomics-Based
Differentiation of Benign and Malignant Pulmonary Lesions
J. Li, Y. Xia, M. Xu, X. Lin, S. Jiang, J. Shi, L. Fan
Second Affiliated Hospital of Naval Medical University, Shanghai, China
Impact: By integrating ZTE and ADC in a radiomics model,
the proposed approach has the potential to significantly
improve the accuracy of pulmonary lesion differentiation
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Computer Number: 116
2691. Modeled
and Model-Free DCE-MRI Parameters to Identify Solid Renal Mass
Subtype in Patients Undergoing Surgical Management
X. Mu, M. Liu, H. Al-Mubarak, P. Kennedy, P. Robson, J.
Cuevas, B. Kuhn, K. Badani, B. Taouli, S. Lewis, O. Bane
Icahn School of Medicine at Mount Sinai, New York, United States
Impact: Model-free
parameters demonstrated significant differences between
malignant and benign SRMs, while modeled parameters did not.
Multiparametric models incorporating ccLS demonstrated
identified malignant vs benign, ccRCC vs. non-ccRCC vs and
ccRCC vs other SRM with good diagnostic performance.
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Computer Number: 117
2692. The
value of combined application of 3D-ASL and DWI imaging in the
differential diagnosis of renal cell carcinoma and renal pelvic
carcinoma
S. Qin, H. Luo, Y. Hong, S. Sun, Y. Liu, C. Fu, B. Kuehn, Q.
Lv
Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, No. 389 Xincun Road, Shanghai 200065, China
Impact: 3D-ASL, especially when combined with DWI,
represents a promising, non-invasive approach for
differentiating RCC from RPC. This contrast-free approach
not only enhances patient safety but also expands diagnostic
options for a broader patient population, supporting more
flexible clinical decision-making.
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Computer Number: 118
2693. T2*
Mapping to Characterize the Hypoxia - Microenvironment of
Pancreatic Ductal Adenocarcinoma
Q. Jiang, J. Zhang, F. Liu, J. Chen, Y. Lan, M. Yang, D. Hu,
J. Zhang, S. Ouyang
The Third Affiliated Hospital of Soochow University, Changzhou, China
Impact: T2* mapping provides a non-invasive method for
assessing hypoxia in PDAC, potentially aiding in the early
identification of aggressive tumors and enabling more
personalized treatment approaches.
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Computer Number: 119
2694. Multisequence
MRI‑based radiomics models for the assessment of microsatellite
instability in endometrial cancer：A Feasibility Study
D. Xiumei, F. Wexiong, L. Xi, Y. Yingsi, Y. Haikun, Z.
TianHui
Mei Zhou People's Hospital（Huang Tang）, Guang Dong Province, China
Impact: This study demonstrated the value of various
radiomics models for non-invasively assessing MSI status
prediction, providing reliable support for diagnosing and
treating endometrial cancer (EC) and enhancing patient
prognosis.
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Computer Number: 120
2695. Intra-
and Peri-tumoral Analysis with Multimodal Functional MRI for
Preoperative Detection of Aggressive Endometrial Carcinoma in
FIGO 2023
J. Zhang, Q. Zhang, Y. Sun, L. Li, L. Xie, X. Yu, Y. Chen
National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
Impact: Multiparametric MRI, incorporating advanced
quantitative sequences and conventional MRI features, could
help effectively predict aggressive subtype EC in the FIGO
2023 system preoperatively, enhancing preoperative risk
stratification and treatment planning in EC management.
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Computer Number: 121
2696. Restriction
Spectrum Imaging Models for Ovarian Cancer Using High-Resolution
DWI
S. J. Batasin, N. Patel, H. Yu, S. Loubrie, S. Ebrahimi, C.
Moran, T. Seibert, C. Santillan, M. McHale, A.
Rodriguez-Soto, R. Rakow-Penner
UC San Diego, La Jolla, United States
Impact: An ovarian-specific RSI model can enhance the
utility of DWI in ovarian MRI, improve pre-surgical
assessment, and most importantly, allow for the
consideration of less radical surgical approaches for the
management of ovarian lesions.
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Computer Number: 122
2697. Prediction
of lymph node metastasis in rectal cancer based on MR T2 mapping
a. chen, l. lin, j. wang, B. jiang, a. liu
The First Affiliated Hospital of Dalian Medical University, Dalian, China
Impact: This study demonstrated that the T2 mapping
sequence has significant diagnostic value in evaluating
lymph node metastasis in rectal cancer. This non-invasive
approach facilitates improved differentiation of lymph node
metastasis of rectal cancer, thereby enhancing rectal cancer
treatment management.
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Computer Number: 123
2698. Advanced
Diffusion-Weighted Imaging Biomarkers for Non-Invasive
Characterization of Rectal Cancer Heterogeneity: Restricted
Spectrum Imaging
J. YUAN, M. Liu, W. Tan, S. Zhan
Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
Impact: RSI-derived parameters offer promising
non-invasive biomarkers for characterizing rectal cancer
microenvironment heterogeneity. This approach could enhance
pre-treatment assessment, facilitate personalized treatment
strategies, and improve patient outcomes. Further research
may explore RSI's potential in treatment response prediction
and monitoring.
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Computer Number: 124
2699. Histogram
Analysis of IVIM and DKI in Differentiating Metastatic and
Non-Metastatic Lateral Lymph Nodes in Rectal Cancer: A
Preliminary Study
Y. Hu, T. Zhang, H. Li, D. Zheng, J. Peng, H. Sun
China-Japan Friendship Hospital, Beijing, China
Impact: The D* derived from IVIM model has potential
value in the differential diagnosis of metastatic and
non-metastatic lateral lymph node of rectum cancer. The
histogram analysis may provide more information in the
clinical management of LLN metastasis.
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Computer Number: 125
2700. DCE-MRI
Imaging Features for Differentiating Borderline and Malignant
Epithelial Ovarian Tumors
Y. Sun, S. Pan, X. Bai, Z. Bai, Z. Shen
Shengjing Hospital of China Medical University, Shenyang, China
Impact: DCE-MRI has certain value in the diagnosis and
differentiation of borderline and invasive ovarian tumors,
providing important imaging references for the development
of clinical treatment plans and prognosis evaluation.
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Computer Number: 126
2701. A
Multisequence MRI-based Deep Learning Radiomics Nomogram for
Predicting Ki-67 Expression and Prognosis in Locally Advanced
Rectal Cancer
Z. Li, Y. Qin, X. Liao, E. Wang, Z. Lu, D. Wang, Y. Lin
Radiology Department, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China
Impact: This study highlights the potential of a
nomogram that combines radiomics and DL to assess Ki-67
expression and prognosis in LARC patients who decline
preoperative chemo-/radiotherapy, offering a promising tool
for individualized treatment planning in this patient group.
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Computer Number: 127
2702. Determining
the Metabolic Landscape of Pancreatic Cancer with
Pharmacological Blockade of the Glutamine Transporter, ASCT2
J. Enriquez, X. Wen, L. Tan, P. Lorenzi, H. C. Manning, P.
Bhattacharya
UT MD Anderson Cancer Center, Houston, United States
Impact: These results have demonstrated the potential of
targeting the glutamine pathway for cancer therapy. Also how
non-invasive techniques such as HP MRS can determine
therapeutic efficacy in vivo leading to changes in therapy
regiments.
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