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MO_11_2745 - Radiation-induced vascular malformations mimicking tumor in MRI-based treatment response assessment maps (TRAMs)

Monday, October 22
10:45 AM - 12:15 PM
Location: Innovation Hub, Exhibit Hall 3

Radiation-induced vascular malformations mimicking tumor in MRI-based treatment response assessment maps (TRAMs)
Y. Mardor1,2, R. Spiegelmann2,3, D. Guez1, D. Last1, D. Daniels1, S. Sharabi1, D. Nass1, O. Nissim1, G. Tsarfaty1,2, C. Hoffmann1,2, A. Talianski1, Y. Fellig4, S. Harnof1,2, Z. Cohen1,2, Y. Shoshan4, and L. Zach2,3; 1Sheba Medical Center, Ramat-Gan, Israel, 2Tel-Aviv University, Tel-Aviv, Israel, 3Chaim Sheba Medical Center, Ramat Gan, Israel, 4Hadassah Medical Center, Jerusalem, Israel

Purpose/Objective(s): We have recently presented MRI-based TRAMs enabling efficient separation between tumor (contrast clearance >1hour post injection, blue) and treatment-effects (TEs, contrast accumulation, red), validated histologically in 51 resected patients reaching 92%/100% PPV/sensitivity to morphologically active tumor. This high selectivity stems from the ability of viable vessels in blue/tumor regions to efficiently clear contrast by 1hour, while damaged lumens in red/TEs regions are unable to, resulting in contrast accumulation. ~400 adult patients have been recruited to our studies in Israel since 2010. As the TRAMs cannot differentiate blood vessels from active tumor (both appearing blue), we studied whether radiation-induced cavernoma-like vascular malformations (RICMs) may mimic tumors in the TRAMs.

Materials/Methods: Cases in which the pre-surgical TRAMs were found false-positive for tumor were re-reviewed. For comparison, 2 patients with newly diagnosed cavernomas and 4 with treated AVMs were scanned by the TRAMs. One AVM underwent TRAMs-guided biopsies.

Results: Four cases of false-positive TRAMs showing RICMs in histology were found between 2010-2017: GBM post Stupp followed by bevacizumab +rindopepimut, breast and NSCLC metastases post SRS, and resected NSCLC post SRS to the surgery site. The pre-surgical TRAMs of the GBM and post-resection NSCLC showed 2-3mm blue masses within larger thin blue rims. The metastases depicted thin blue rims surrounding red regions. Histology revealed clusters of connective tissue with multiple vessel-channels in all 4 cases, consistent with RICMs at various stages of tissue re-organization. The treated AVMs TRAMs showed mixed blue/red regions. Biopsies taken from blue regions revealed large vessels, some showing re-organization; red regions showed TEs. The cavernomas were depicted blue in the TRAMs.

Conclusion: The TRAMs reliability in differentiating tumor from TEs has been validated histologically reaching PPV=92%. The presented findings suggest that RICMs, as other vascular-malformations, may mimic tumor (blue) in the TRAMs, thus explaining false-positive cases.

Author Disclosure: Y. Mardor: Research Grant; Brainlab AG. Consultant; Brainlab AG. I am an inventor on related pending IP owned by Sheba and licensed by Sheba to Brainlab; Sheba Medical Center. R. Spiegelmann: None. D. Guez: I am an inventor on related pending IP owned by Sheba and licensed by Sheba to Brainla; Sheba Medical Center. D. Daniels: I am an inventor on related pending IP owned by Sheba and licensed by Sheba to Brainla; Sheba Medical Center. S. Sharabi: None. D. Nass: None. O. Nissim: None. G. Tsarfaty: None. A. Talianski: None. Z. Cohen: None.

Yael Mardor, PhD

Biography:
Prof Yael Mardor is the Chief Scientist and Head of the MR Research Group at the Advanced Technology Center at Sheba Medical Center and an Associate Professor of Oncology at Tel-Aviv University Medical School. After completion of her PhD in Nuclear Physics at Tel-Aviv University in collaboration with Brookhaven National Lab, Prof Mardor proceeded to medical research with emphasis on brain, brain tumors, drug delivery and MRI. The hospital setup, enabling pre-clinical/clinical research, close access to physicians and patients, and close collaboration with the industry, forms an optimal environment for translational medical research which is the nature of most of her research projects.

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