Mathematical 3D Liver Model for Surgical versus Ablative Therapy Treatment Planning for Colorectal Liver Metastases: Recommendations from the COLLISION and COLDFIRE Trial Expert Panels
Year: 2024
Type: article
Abstract: Purpose To further define anatomic criteria for resection and ablation using an expert panel–based three-dimensional liver model to objectively predict local treatment recommendations for colorectal liver metastases (CRLM). Materials and Methods This study analyzed data from participants with small CRLM (≤3 cm) considered suitable for resection, thermal ablation, or irreversible electroporation (IRE), according to a multidisciplinary expert panel, who were included in two prospective multicenter trials (COLLISION [NCT03088150] and COLDFIRE-2 [NCT02082782]) between August 2017 and June 2022. Ten randomly selected participants were used to standardize the model’s Couinaud segments. CRLM coordinates were measured and plotted in the model as color-coded lesions according to the treatment recommendations. Statistical validation was achieved through leave-one-out cross-validation. Results A total of 611 CRLM in 202 participants (mean age, 63 [range, 29–87] years; 138 male and 64 female) were included. Superficially located CRLM were considered suitable for resection, whereas more deep-seated CRLM were preferably ablated, with the transition zone at a subsurface depth of 3 cm. Ninety-three percent (25 of 27) of perihilar CRLM treated with IRE were at least partially located within 1 cm from the portal triad. Use of the model correctly predicted the preferred treatment in 313 of 424 CRLM (73.8%). Conclusion The results suggest that CRLM can be defined as superficial (preferably resected) and deep-seated (preferably ablated) if the tumor center is within versus beyond 3 cm from the liver surface, respectively, and as perihilar if the tumor margins extend to within 1 cm from the portal triad. Keywords: Ablation Techniques, CT, MRI, Liver, Abdomen/GI, Metastases, Oncology Supplemental material is available for this article. © RSNA, 2024
Source: Radiology Imaging Cancer
DOI: 10.1148/rycan.240068
Authors: Bente A. T. van den Bemd, Robbert S. Puijk, Han Keijzers, Petrousjka M. van den Tol, Martijn R. Meijerink, for the COLLISION Trial Group, Luca Aldrighetti, Mark Arntz, Laurens van Baardewijk, Maarten W. Barentsz, Peter van den Boezem, Bart Bracke, Rutger C. G. Bruijnen, Mark C. Burgmans, Thiery Chapelle, Mariëlle M. E. Coolsen, Veerle M. H. Coupé, Ronald M. van Dam, Sanne de Boer, Francesco de Cobelli, Koert P. de Jong, Jan J. J. de Vries, Johannes H. W. de Wilt, Otto M. van Delden, Arjen Diederik, Madelon Dijkstra, Werner A. Draaisma, Peter van Duijvendijk, Hasan H. Eker, Joris I. Erdmann, Arian R. van Erkel, Jurgen J. Futterer, Bart Geboers, Anne M. van Geel, Nicole C. T. van Grieken, Gerie Groot, Jeroen Hagendoorn, Tjarda van Heek, Sjoerd F. M. Jenniskens, Matthijs G. M. Kater, Geert Kazemier, Han Kruimer, Wouter K. G. Leclercq, Susan van der Lei, Christiaan van der Leij, Birgit I. Lissenberg-Witte, Eric R. Manusama, Mark A. J. Meier, Bram B. van der Meijs, Quintus Molenaar, Karin Nielsen, Maarten W. Nijkamp, Bart Op de Beeck, Christiaan Overduin, Fons H. Potters, Francesca Ratti, Jeroen J. van der Reijden, Floris J. Rietema, Simeon J. S. Ruiter, Hester J. Scheffer, Evelien Schouten, Hermien W. H. Schreurs, Hannah H. Schulz, Gian Piero Serafino, Colin Sietses, Gerrit Slooter, Maarten L. J. Smits, Gert-Jan Spaargaren, Martijn W. J. Stommel, Rutger-Jan Swijnenburg, Floor E. F. Timmer, Kathelijn S. Versteeg, Ted Vink, Danielle J. W. Vos, Barbara A. Zonderhuis
Language: English
Subfield: Hepatology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
Funder: National Cancer Institute
Awards: G5205082364, G738717743, G8002394410
OpenAlex ID: W4403335622