ISMRM25 - Imaging of Cancer in the Body

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

Imaging of Cancer in the Body

Power Pitch

Body

Wednesday, 14 May 2025

Power Pitch Theatre 1

15:45 - 17:45

Moderators: Sunitha Thakur, Yoshitaka Bito & Anshika Kesari

Session Number: PP-08

No CME/CE Credit

15:45		Screen Number: 1 1065. Comparison of Postoperative Recurrence Prediction Capability among CEST, DWI, PET/CT and Combined Indexes in Stage I Non-Small Cell Lung Cancer View Presentation Video Y. Ozawa, K. Yamamoto, M. Ozaki, M. Ikedo, M. Yui, H. Nagata, T. Ueda, M. Nomura, T. Yoshikawa, D. Takenaka, Y. Ohno Fujita Health University School of Medicine, Toyoake, Japan Impact: MRI-based molecular information has better potential for prediction of postoperative recurrence than FDG-PET/CT in stage I NSCLC patients. Moreover, combined CEST and DWI information can improve prediction capability of CEST imaging in this setting.
15:47		Screen Number: 2 1066. Predicting lung cancer chemotherapy efficacy with extracellular volume fraction and intravoxel incoherent motion parameters h. han, w. guo, x. lin, h. hao, x. li, m. tian, h. ren, j. xin, p. zhao Shandong Provincial Hospital Affiliated to Shandong First Medical University, jinan, China Impact: IVIM and ECV are potential tools for predicting early chemotherapy efficacy in lung cancer, creating new opportunities to refine initial treatment plans and improve patient prognosis, particularly for those who are resistant to chemotherapy.
15:49		Screen Number: 3 1067. Combining Intratumoral and Peritumoral Multimodal MRI to Predict the HER-2 Expression Level in Breast Cancer View Presentation Video W. Feng, M. Qu, Y. Xiong, K. Ji, W. Dang, Z. Wang, M. Xie, P. Dang, J. Lei First Hospital of Lanzhou University, Lanzhou, China Impact: This study’s findings could enhance non-invasive HER-2 status assessment in breast cancer, aiding clinicians in personalized treatment planning. It opens avenues for further research on multimodal MRI’s role in predicting other molecular characteristics, improving diagnostic precision.
15:51		Screen Number: 4 1068. The value of ultra-fast DISCO DCE in identifying HER2 zero-, low-, and over-expressing breast cancers T. Zhan, J-k Dai, C-h Lu Department of Radiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China Impact: Our results suggested ultra-fast DISCO DCE derived quantitative kinetic parameters can serve as non-invasive biomarkers for identifying HER2-zero, HER2-low, and HER2-oe. The application of DISCO DCE would be beneficial for guiding treatment selection and monitoring HER2 status change during treatment.
15:53		Screen Number: 5 1069. Predictive value of combined DCE-MRI perfusion parameters and clinical features nomogram for microsatellite instability in colorectal cancer L. Peng, W. Ma, X. Zhang, F. Ma, F. Zhang, K. Ai, L. Wang Gansu University of Chinese Medicine, Lanzhou, China Impact: MSI CRC is resistant to 5-FU chemotherapy but benefits from neoadjuvant immunotherapy and targeted therapy. The nomogram model provides a good non-invasive and individualized tool for predicting MSI, avoiding the risks associated with invasive pathological detection.
15:55		Screen Number: 6 1070. Prediction of muscle invasion in upper urinary tract urothelial carcinoma using 3D reduced-FOV CUBE T2 with deep learning reconstruction View Presentation Video H. Zhang, Y. Wang, Q. Wang, H. Zheng, Y. Yuan, L. Deng, Y-G Bao, B. Zhang, H. Liang, B. Song Sichuan University West China Hospital, Chengdu, China Impact: The visualization of irregular attachment surfaces using 3D rFOV CUBE T2 with DLR offers a new perspective for predicting muscle invasion in UTUC. This could assist patients without irregular attachment surfaces in avoiding radical nephroureterectomy.
15:57		Screen Number: 7 1071. Early Treatment Response Evaluation Using 31P MRSI at 7T in Liver Metastases of 4 Patients With Gastroesophageal Cancer Given Systemic Treatment View Presentation Video S. Siegerink, B. Runderkamp, A. Bakermans, M. Gosselink, N. Haj Mohammad, A. Nederveen, D. Klomp, H. van Laarhoven, J. Prompers Amsterdam UMC, Amsterdam, Netherlands Impact: This study shows promising results of ³¹P MRSI to evaluate systemic therapy response after only 2 weeks in patients with liver metastases of gastroesophageal cancer.
15:59		Screen Number: 8 1072. Long-Term Prognosis of Indeterminate Lesions in the Cirrhotic Liver: Insights from the LI-RADS 3 Neutral Category View Presentation Video A. Bahsoun, J. Ramirez, M. Reed, R. Rajeev, R. Chahine, V. Gulani, M. Mendiratta-Lala, A. Aslam, S. Wells, H. Hussain University of Michigan, Ann Arbor, United States Impact: The findings including key predictors of LR-3 lesion progression such as post-treatment liver status, larger lesion size, co-existence of other LR3+ lesions, older age, and alcoholic cirrhosis—offer guidance for personalized surveillance intervals and efficient resource allocation for HCC-risk patients.
16:01		Screen Number: 9 1073. Prospective Investigation of the Value of Arterial Spin Labeling for Evaluating Bladder Cancer E. Guo, G. Zhang, L. Chen, J. Zhu, B. Kuehn, J. Zhang, X. Zhang, X. Bai, Q. Peng, Y. Wu, Z. Jin, H. Sun Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China Impact: Non-invasive and quantitative arterial spin labeling is a valuable technique for evaluating bladder cancer because it enables quantifying tumor perfusion and offers insights into the physiological and pathological processes.
16:03		Screen Number: 10 1074. Baseline MRI habitat imaging for predicting treatment response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer View Presentation Video M. He, H. Chen, M. Ma, F. Xue Shengli Clinical College of Fujian Medical University & Department of Radiology, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou 350001, China Impact: Habitat models built exclusively with first-order histogram features provide a more accurate representation of biological characteristics. Additionally, a hybrid model was developed by integrating clinical features with habitat features, enhancing model interpretability and acceptance by radiologists.
16:05		Screen Number: 11 1075. Noninvasive grading of clear cell renal cell carcinoma using MRI cytometry View Presentation Video X. Jiang, D. Joyce, J. Gore, J. Xu Vanderbilt University Medical Center, Nashville, United States Impact: This technique could reduce biopsies and improve RCC diagnosis, grading, and treatment decisions.
16:07		Screen Number: 12 1076. Towards Free-Breathing Nodal Staging of Upper Abdominal Cancers: MRI-Visible Nodal Size Distributions and Uptake of USPIO Nanoparticles View Presentation Video T. Scheenen, M. Maas, K. Tobias Block, R. van den Elshout, A. Veltien, E. Smit, J. Hermans, I. Maatman Radboud university medical centre, Nijmegen, Netherlands Impact: Our method effectively depicts LNs and visualize their USPIO uptake in the upper abdomen. All relevant parameters are obtained from a single free-breathing radial acquisition, yielding higher image quality and more sensitive detection of small lymph nodes.
16:09		Screen Number: 13 1077. 3D MR Elastography-based Stiffness as a Marker for Predicting Hepatocellular Carcinoma Refractory to Transarterial Chemoembolization View Presentation Video Y. Wang, J. Zhou, Y. Zeng, Z. Fang, S. Ouyang, J. Chen, M. Yin, K. Glaser, R. Ehman, J. Wang The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), GuangZhou, China Impact: 3D MRE-based tumor stiffness is a promising biomarker for predicting TACE refractory HCC. The MRE-based model might be a useful tool for evaluating TACE refractory HCC.
16:11		Screen Number: 14 1078. Phosphorus Metabolite Profiling of Hepatocellular Carcinoma Using 31P-MRS: A Comparative Study with Surrounding Liver Tissue View Presentation Video J. Li, H. Lin, F. Yan, P. Wu Ruijin Hospital, Shanghai, China Impact: These metabolic shifts in HCC lesions may aid in diagnosis and monitoring of liver cancer.
16:13		Screen Number: 15 1079. Inter-observer Agreement for the Diagnosis of LI-RADS 3 and 4 Lesions on Gadoxetate MRI and Outcome Assessment View Presentation Video M. Yuce, S. Lewis, A. Villanueva, B. Taouli Icahn School of Medicine Mount Sinai, New York, United States Impact: The study highlights the need for improved standardization and radiologist’s training in applying LI-RADS criteria to enhance diagnostic accuracy.
16:15		Screen Number: 16 1080. Diagnostic Performance of LI-RADS v2024 Radiation Treatment Response Algorithm: A Multi-Reader Study with Pathologic Correlation View Presentation Video W. Han, C. Wang, N. Zhang, C. Adler, M. Zulfiqar, K. Sandrasegaran, A. Silva Mayo Clinic, Scottsdale, United States Impact: This first validation study of LI-RADS v2024 radiation TRA shows excellent inter-reader agreement and diagnostic performance, supporting its clinical implementation for standardized post-radiation therapy response assessment in HCC patients.
16:17		Screen Number: 17 1081. Value of Quantitative DCE-MRI restaging the Status of Regional Lymph Nodes With a Short-Axis Diameter ≥ 5 mm for Rectal Cancer Z. Zhang, Y. Chen, Y. Wu, S. Yu National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital，Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China Impact: Quantitative DCE-MRI can improve the accuracy of nodal restaging in rectal cancer after neoadjuvant therapy, and subsequently conducive to therapeutic evaluation and formulation of next treatment strategies.
16:19		Screen Number: 18 1082. WITHDRAWN
16:21		Screen Number: 19 1083. Applying an MRI-based mathematical model to predict the response of cervical cancer to chemoradiation: Preliminary results View Presentation Video R. Patel, C. Wu, C. Stowers, R. Mohamed, J. Ma, G. Rauch, T. Yankeelov The University of Texas at Austin, Austin, United States Impact: Our biology-based mathematical model using quantitative MRI data has the potential to accurately predict tumor response to chemoradiation for patients with locally advanced cervical cancer.
16:23		Screen Number: 20 1084. Differentiation of Cervical Cancer and Pathological Type Using Quantitative Microstructural Parameters of MRI cytometry View Presentation Video W. Yue, R. Han, D. Zheng, H. Li, Q. Yang Beijing Chaoyang Hospital, Capital Medical University, Beijing, China Impact: For the first time, MRI cytometry demonstrated the feasibility and superior diagnostic capability in noninvasively differentiating cervical intraepithelial neoplasia (CIN) from cervical cancer (CC)and identifying CC pathological types.
16:25		Screen Number: 21 1085. Oscillating Gradient Diffusion-Weighted MRI in diagnosing cervical cancer and evaluating the degree of pathological differentiation View Presentation Video J. j. Li, Y. Xiao, J. Guo, Y. Hao, R. Zhang, Y. Zhu, K. Ai The First Affiliated Hospital of Xi'an Jiaotong University , Xi’an, China Impact: This study confirms the advantages of Oscillating Gradient Diffusion-Weighted MRI parameters in the pathological differentiation of cervical cancer, especially for diagnosing cervical cancer, offering greater accuracy than traditional ADC_PGSE.
16:27		Screen Number: 22 1086. Evaluating Tumor Features and Invasion in Non-melanoma Skin Cancer by High Resolution MRI View Presentation Video X. Li, Y. Liang, W. Dai, Y. Peng, Y. Jiang, Y. Meng Taiyuan Central Hospital, Taiyuan, China Impact: This study demonstrates that HR-MRI effectively evaluates tumor features and invasion levels in non-melanoma skin cancer, enhancing preoperative assessment accuracy and potentially reducing the need for secondary surgeries, thereby improving patient management and surgical outcomes.
16:29		Screen Number: 23 1087. Submucosal Linear Enhancement in Adjusted VI-RADS: Enhancing Detection of Muscle-Invasive Bladder Cancer Using Isotropic DCE-MRI X. Zhang, Y. Wang, S. Wang, Y. Chen, X. Zhao National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China Impact: Incorporating submucosal linear enhancement (SLE) into the VI-RADS system significantly improves the detection of muscle-invasive bladder cancer. This adjustment could lead to earlier, more accurate staging and treatment planning, ultimately enhancing patient outcomes by reducing missed diagnoses of MIBC.
16:31		Screen Number: 24 1088. Impact of Tumor Shape on Local Staging Accuracy Using VI-RADS in Bladder Cancer: Implications for MRI Protocol Selection View Presentation Video Y. Arita, T. Kwee, K. Shigeta, N. Nissan, Y. Lin, R. Ishii, S. Masuyama, H. Edo, S. Fransen, C. Roest, J. Das Memorial Sloan Kettering Cancer Center, New York, United States Impact: This study highlights the importance of considering tumor morphology in MRI protocols for bladder cancer. The use of DCE-MRI is crucial for accurate staging of sessile/broad-based tumors.
16:33		Screen Number: 25 1089. A Prospective Study on VI-RADS and Tumor Contact Length for Predicting Muscle-Invasive Bladder Cancer with MRI View Presentation Video M. J. Kim, C. K. Kim Samsung Medical Center, Seoul, Korea, Republic of Impact: Integrating TCL with VI-RADS enhances MIBC diagnostic accuracy, potentially influencing treatment strategies and improving patient outcomes. This study lays groundwork for further exploration of TCL’s role in cancer imaging, paving the way for more precise and personalized bladder cancer care.

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