ISMRM25 - State-of-the-Art Lung MR Imaging I

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

State-of-the-Art Lung MR Imaging I

Oral

Body

Monday, 12 May 2025

316C

16:00 - 18:00

Moderators: Jens Vogel-Claussen, James Gee & Satyajit Maurya

Session Number: O-24

No CME/CE Credit

16:00		0303. Evaluating Stack-of-Stars and FLORET 3D Ultrashort Echo Time MRI to Assess Structural Pathology in Cystic Fibrosis Lung Disease PDF Poster View Presentation Video A. Bdaiwi, M. Willmering, J. Plummer, R. Hussain, Z. Cleveland Cincinnati Children's Hospital Medical Center, Cincinnati, United States Impact: Compared to Stack-of-Stars, FLORET 3D-UTE, provides isotropic sampling and better respiratory gating and thus enabled superior lung imaging in pwCF. Reader-scoring of lung abnormalities correlated better with CT scores, suggesting superior clinical utility.
16:12		0304. Comparison of signal- and volume-based ventilation-weighted assessment using 3D FLORET UTE MRI in patients with various pulmonary disease View Presentation Video F. Klimeš, J. Plummer, A. Voskrebenzev, M. Gutberlet, M. Wernz, M. Willmering, A. Matheson, A. Bdaiwi, F. Wacker, J. Woods, Z. Cleveland, L. Walkup, J. Vogel-Claussen Hannover Medical School, Hannover, Germany Impact: Although both proton lung MRI methods successfully identified ventilation defects, the stronger correlation between signal-based (RVent) and ¹²⁹Xe MRI indicates that RVent may provide a more reliable assessment of lung ventilation in clinical applications in comparison to volume-based (JVent) parameter.
16:24		0305. Artificial Intelligence-assisted Pixel-level Lung (APL) Scoring for Fast and Accurate Quantification in Ultra-short Echo-time MRI View Presentation Video B. Xin, R. Hickey, T. Blake, J. Jin, C. Wainwright, T. Benkert, A. Stemmer, P. Sly, D. Coman, J. Dowling CSIRO, Sydney, Australia Impact: AI-assisted pixel-level scoring significantly improved the efficiency and accuracy of lung MRI quantification, which has the potential to streamline the clinical workflow of lung MRI analysis for cystic fibrosis patients and be extended to other lung diseases (e.g., bronchopulmonary dysplasia).
16:36		0306. Ultrashort TE Imaging with Tight Intervals (δTE) for T2* Mapping in COPD: Toward a Biomarker for Lung Structural Changes View Presentation Video V. Malis, Y. Kassai, Y. Kuwatsuru, A. Mesa, A. Yen, A. Malhotra, D. Conrad, M. Miyazaki UC San Diego, San Diego, United States Impact: The δTE UTE technique enables safe, non-ionizing imaging suitable for repeated exams in longitudinal monitoring of COPD progression. By enhancing T₂* mapping sensitivity, it shows promise as a potential biomarker for detecting subtle lung changes, complementing current CT assessments.
16:48		0307. Free-breathing 3D pulmonary ventilation mapping at 0.55T using Stack-of-Spiral Out-in bSSFP View Presentation Video Z. Zhao, N. Lee, B. Tasdelen, X. Miao, Y. Tian, B. Li, S. Cui, K. Nayak University of Southern California, Los Angeles, United States Impact: The proposed approach for 3D regional ventilation mapping requires 5min is feasible and provides consistent measurements and show good agreements with PREFUL in healthy volunteers. This may improve the diagnosis and evaluation of patients with pulmonary dysfunction.
17:00		0308. Low-Field (0.55T) Phase-resolved Functional Lung (PREFUL) MRI for Evaluating Ventilation and Perfusion in Pulmonary Diseases View Presentation Video D. Capaldi, D. Baria, P. Deo, Y. J. Lee, P. Su, X. Miao, R. Grimm, A. Voskrebenzev, J. Vogel-Claussen, J. Scholey, L. Singer, Y. Yang, P. Larson, J. H. Sohn UCSF, San Francisco, United States Impact: Low-field PREFUL MRI enables non-invasive, high-quality lung imaging, detecting pronounced ventilation and perfusion defects in patients with lung disease. This advancement underscores low-field MRI’s unique potential for accessible, non-contrast enhanced, high-quality pulmonary function assessment across diverse conditions.
17:12		0309. Characterizing respiratory dysfunction in Duchenne muscular dystrophy using phase‐resolved functional lung (PREFUL) MRI View Presentation Video K. Xu, H. Xu, Y. Chen, T. Yin, R. Grimm, Y. Guo West China Second University Hospital, Sichuan University, Chengdu, China Impact: Our demonstration of a detectable decline in VDP suggests that PREFUL MRI might represent a new noninvasive tool for the functional assessment of lung even in the early phase of respiratory compromise in children with DMD.
17:24		0310. Continuous-time random walk and amide proton transfer-weighted imaging to predict lymphovascular space invasion in non-small cell lung cancer N. Meng, Q. Chen, X. Yu, J. Pan, X. Chen, J. Yuan, Y. Yang, Z. Wang, M. Wang Henan Provincial People’s Hospital & Zhengzhou University People’s Hospital, Zhengzhou, China Impact: The analysis of tumour glucose metabolism, water molecule diffusion, temporal / spatial heterogeneities, and mobile proteins / peptides measurement at multiparametric 18F-FDG PET/MRI enables the prediction of LVSI in NSCLC.
17:36		0311. Reverse Encoding Distortion Correction (RDC) on DWI: Improving Image Quality and Diagnosis of Lymph Node Metastasis in Non-Small Cell Lung Cancer View Presentation Video Y. Ohno, K. Yamamoto, Y. Sano, M. Ikedo, M. Ozaki, M. Yui, H. Nagata, T. Ueda, M. Nomura, T. Yoshikawa, D. Takenaka, Y. Ozawa Fujita Health University School of Medicine, Toyoake, Japan Impact: RDC DWI has better potentials for improving distortion, image quality and diagnosis of lymph node metastasis as compared with cDWI and FDG-PET/CT in NSCLC patients.
17:48		0312. Clinical Application of Free-Breathing 3D Ultra-Short Echo Time Sequences to Detect Lung Nodules View Presentation Video Z. Zhou, Z. Guo, Y. Ge, X. Kan, B. Thomas, J. An, M. Wang Fuwai Henan Hospital, Chinese Academy of Medical Sciences, Zhengzhou, China Impact: UTE, an emerging non-radiative examination protocol, demonstrates great potential in detecting, diagnosing, and providing short-term follow-up of lung nodules and is poised to become an important tool for early screening and diagnosis of lung cancer.

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