Identification of A0 minimum ablative margins for colorectal liver metastases: multicentre, retrospective study using deformable CT registration and artificial intelligence-based autosegmentation.


Journal

The British journal of surgery
ISSN: 1365-2168
Titre abrégé: Br J Surg
Pays: England
ID NLM: 0372553

Informations de publication

Date de publication:
30 Aug 2024
Historique:
received: 23 02 2024
revised: 15 05 2024
accepted: 17 06 2024
pmc-release: 30 08 2025
medline: 1 9 2024
pubmed: 1 9 2024
entrez: 30 8 2024
Statut: ppublish

Résumé

Several ablation confirmation software methods for minimum ablative margin assessment have recently been developed to improve local outcomes for patients undergoing thermal ablation of colorectal liver metastases. Previous assessments were limited to single institutions mostly at the place of development. The aim of this study was to validate the previously identified 5 mm minimum ablative margin (A0) using autosegmentation and biomechanical deformable image registration in a multi-institutional setting. This was a multicentre, retrospective study including patients with colorectal liver metastases undergoing CT- or ultrasound-guided microwave or radiofrequency ablation during 2009-2022, reporting 3-year local disease progression (residual unablated tumour or local tumour progression) rates by minimum ablative margin across all institutions and identifying an intraprocedural contrast-enhanced CT-based minimum ablative margin associated with a 3-year local disease progression rate of less than 1%. A total of 400 ablated colorectal liver metastases (median diameter of 1.5 cm) in 243 patients (145 men; median age of 62 [interquartile range 54-70] years) were evaluated, with a median follow-up of 26 (interquartile range 17-40) months. A total of 119 (48.9%) patients with 186 (46.5%) colorectal liver metastases were from international institutions B, C, and D that were not involved in the software development. Three-year local disease progression rates for 0 mm, >0 and <5 mm, and 5 mm or larger minimum ablative margins were 79%, 15%, and 0% respectively for institution A (where the software was developed) and 34%, 19%, and 2% respectively for institutions B, C, and D combined. Local disease progression risk decreased to less than 1% with an intraprocedurally confirmed minimum ablative margin greater than 4.6 mm. A minimum ablative margin of 5 mm or larger demonstrates optimal local oncological outcomes. It is proposed that an intraprocedural minimum ablative margin of 5 mm or larger, confirmed using biomechanical deformable image registration, serves as the A0 for colorectal liver metastasis thermal ablation.

Sections du résumé

BACKGROUND BACKGROUND
Several ablation confirmation software methods for minimum ablative margin assessment have recently been developed to improve local outcomes for patients undergoing thermal ablation of colorectal liver metastases. Previous assessments were limited to single institutions mostly at the place of development. The aim of this study was to validate the previously identified 5 mm minimum ablative margin (A0) using autosegmentation and biomechanical deformable image registration in a multi-institutional setting.
METHODS METHODS
This was a multicentre, retrospective study including patients with colorectal liver metastases undergoing CT- or ultrasound-guided microwave or radiofrequency ablation during 2009-2022, reporting 3-year local disease progression (residual unablated tumour or local tumour progression) rates by minimum ablative margin across all institutions and identifying an intraprocedural contrast-enhanced CT-based minimum ablative margin associated with a 3-year local disease progression rate of less than 1%.
RESULTS RESULTS
A total of 400 ablated colorectal liver metastases (median diameter of 1.5 cm) in 243 patients (145 men; median age of 62 [interquartile range 54-70] years) were evaluated, with a median follow-up of 26 (interquartile range 17-40) months. A total of 119 (48.9%) patients with 186 (46.5%) colorectal liver metastases were from international institutions B, C, and D that were not involved in the software development. Three-year local disease progression rates for 0 mm, >0 and <5 mm, and 5 mm or larger minimum ablative margins were 79%, 15%, and 0% respectively for institution A (where the software was developed) and 34%, 19%, and 2% respectively for institutions B, C, and D combined. Local disease progression risk decreased to less than 1% with an intraprocedurally confirmed minimum ablative margin greater than 4.6 mm.
CONCLUSION CONCLUSIONS
A minimum ablative margin of 5 mm or larger demonstrates optimal local oncological outcomes. It is proposed that an intraprocedural minimum ablative margin of 5 mm or larger, confirmed using biomechanical deformable image registration, serves as the A0 for colorectal liver metastasis thermal ablation.

Identifiants

pubmed: 39213397
pii: 7745997
doi: 10.1093/bjs/znae165
pmc: PMC11364140
pii:
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Proper Homines Stiftung
Organisme : Swiss National Science Foundation
ID : P2BEP3_195444
Pays : Switzerland
Organisme : Liechtenstein
Organisme : University of Texas MD Anderson Cancer Center
Organisme : Vaduz
Organisme : Apache Corporation Grant
Organisme : NIH HHS
Pays : United States
Organisme : GFI
ID : CALM_GFI_22_01_F
Organisme : NCI NIH HHS
ID : R01CA235564
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA016672
Pays : United States

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of BJS Foundation Ltd. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.

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Auteurs

Iwan Paolucci (I)

Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Jessica Albuquerque Marques Silva (J)

Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Yuan-Mao Lin (YM)

Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Gregor Laimer (G)

Department of Radiology, Interventional Oncology/Stereotaxy and Robotics, Medical University of Innsbruck, Innsbruck, Austria.

Valentina Cignini (V)

Department of Surgical Sciences, University of Turin, Turin, Italy.

Francesca Menchini (F)

Department of Surgical Sciences, University of Turin, Turin, Italy.

Marcio Meira (M)

Department of Radiology, Hospital das Clinicas, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, Brazil.

Alexander Shieh (A)

Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Caleb O'Connor (C)

Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Kyle A Jones (KA)

Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Carlo Gazzera (C)

Department of Diagnostic Imaging and Interventional Radiology, Città della Salute e della Scienza, Turin, Italy.

Paolo Fonio (P)

Department of Diagnostic Imaging and Interventional Radiology, Città della Salute e della Scienza, Turin, Italy.

Kristy K Brock (KK)

Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Marco Calandri (M)

Department of Diagnostic Imaging and Interventional Radiology, Città della Salute e della Scienza, Turin, Italy.

Marcos Menezes (M)

Department of Radiology, Hospital das Clinicas, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, Brazil.

Reto Bale (R)

Department of Radiology, Interventional Oncology/Stereotaxy and Robotics, Medical University of Innsbruck, Innsbruck, Austria.

Bruno C Odisio (BC)

Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

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