Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
466-02-007 ISMRM Abstract

Predicting esophageal cancer response to neoadjuvant therapy with diffusion MRI

Primary: Body - Chest/Thorax
Secondary: Diffusion - DWI/DTI/DKI
466-02-007 · Quantitative Applications in Body MRI: In Numbers We Trust · Tuesday, 12 May, 9:15 AM–10:10 AM · Digital Posters Row G
Keywords: Treatment Response Apparent diffusion coefficient Neoadjuvant chemoradiotherapy Tumor grading Esophageal cancer
Accepted
Victoria Joppin1, Laura Haefliger1, Camille Noirot1, Jean-Baptiste LEDOUX1,2, Styliana Mantziari3, Markus Schäfer3, Fulvia Serra4, Christine Sempoux4, Naik Vietti-Violi1, Clarisse Dromain1, Ileana Jelescu 1
1Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
2CIBM Center for Biomedical Imaging, Lausanne, Switzerland
3Department of Visceral Surgery, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
4Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
Presenting Author: Ileana Jelescu

Synopsis

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References

1. Tomoyoshi Aoyagi et al. “Evaluation of the Clinical Staging of Esophageal Cancer by Using Diffusion-Weighted Imaging”. In: Experimental and Therapeutic Medicine 1.5 (Sept. 2010), pp. 847–851. ISSN: 1792-0981. doi:10.3892/etm.2010.112 [doi]
2. Francesco Giganti et al. “Prospective Comparison of MR with Diffusion-Weighted Imaging, Endoscopic Ultrasound, MDCT and Positron Emission Tomography-CT in the Pre-Operative Staging of Oesophageal Cancer: Results from a Pilot Study”. In: British Journal of Radiology 89.1068 (Dec. 2016), p. 20160087. ISSN: 0007-1285. doi:10.1259/bjr.20160087 [doi]
3. Peter S. N. van Rossum et al. “Diffusion-Weighted Magnetic Resonance Imaging for the Prediction of Pathologic Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer”. In: Radiotherapy and Oncology 115.2 (May 2015), pp. 163–170. ISSN: 0167-8140. doi:10.1016/j.radonc.2015.04.027 [doi]
4. Francesco De Cobelli et al. “Apparent Diffusion Coefficient Modifications in Assessing Gastro-Oesophageal Cancer Response to Neoadjuvant Treatment: Comparison with Tumour Regression Grade at Histology”. In: European Radiology 23.8 (Aug. 2013), pp. 2165–2174. ISSN: 1432-1084. doi:10.1007/00330-013-2807-0 [doi]
5. Thomas W. Rice et al. “Cancer of the Esophagus and Esophagogastric Junction: An Eighth Edition Staging Primer” In: Journal of Thoracic Oncology 12.1 (Jan. 2017), pp. 36–42. ISSN: 1556-0864. doi:10.1016/.jtho.2016.10.016 [doi]
6. Pauline Chapellier et al. “Prospective Evaluation of MR-TRG (Tumor Regression Grade) in Esophageal Cancer after Neo-Adjuvant Therapy: Preliminary Results”. In: European Journal of Radiology 171 (Feb. 2024). ISSN: 0720048X, 1872-7727. doi:10.1016/j.ejrad.2023.111263 [doi]
7. D Le Bihan et al. “Separation of Diffusion and Perfusion in Intravoxel Incoherent Motion MR Imaging.” In: Radiology 168.2 (Aug. 1988), pp. 497–505. ISSN: 0033-8419. doi:10.1148/radiology.168.2.3393671 [doi]
8. Jens H. Jensen et al. “Diffusional Kurtosis Imaging: The Quantification of Non-Gaussian Water Diffusion by Means of Magnetic Resonance Imaging”. In: Magnetic Resonance in Medicine 53.6 (2005), pp. 1432–1440. ISSN: 15222594. doi:10.1002/mrm.20508 [doi]
9. An-Du Zhang et al. “Predicting the Effects of Radiotherapy Based on Diffusion Kurtosis Imaging in a Xenograft Mouse Model of Esophageal Carcinoma”. In: Experimental and Therapeutic Medicine 21.4 (Apr. 2021), pp. 1–1. ISSN: 1792-0981. doi:10.3892/etm.2021.9758 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/466-02-007