Literature DB >> 28935452

3D image guidance assisted identification of colorectal cancer liver metastases not seen on intraoperative ultrasound: results from a prospective trial.

T Peter Kingham1, Linda M Pak2, Amber L Simpson2, Universe Leung2, Alexandre Doussot2, Michael I D'Angelica2, Ronald P DeMatteo2, Peter J Allen2, William R Jarnagin2.   

Abstract

BACKGROUND: Neoadjuvant treatment of colorectal liver metastases has become increasingly common, and while effective, often renders small metastases difficult to visualize on intraoperative US. The objective of this study was to determine the utility of a 3D image-guidance system in patients with intraoperative sonographically-occult CRLM.
METHODS: 50 patients with at least one CRLM ≤ 1.5 cm were enrolled in this prospective trial of an FDA-approved Explorer image-guidance system. If the tumor(s) seen on preoperative imaging were not identified with intraoperative US, Explorer was used to target the US examination to the involved area for a more focused assessment. The primary endpoint was the proportion of cases with sonographically-occult metastases identified using Explorer.
RESULTS: Forty-eight patients with preoperative scans within eight weeks of surgery were included for analysis. Forty-six patients were treated with preoperative chemotherapy (median 4 months, range 2-24 months). Overall, 22 sonographically-occult tumors in 14 patients were interrogated by Explorer, of which 15 tumors in 10 patients were located with image-guidance assistance. The only difference between patients with tumors not identified on US and those who did was the number of tumors (median 3 vs. 2, p = 0.018).
CONCLUSION: 3D image-guidance can assist in identifying small CRLM, particularly after treatment with chemotherapy. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02806037, https://clinicaltrials.gov/ct2/show/NCT02806037.
Copyright © 2017 International Hepato-Pancreato-Biliary Association Inc. Published by Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28935452      PMCID: PMC6717433          DOI: 10.1016/j.hpb.2017.08.035

Source DB:  PubMed          Journal:  HPB (Oxford)        ISSN: 1365-182X            Impact factor:   3.647


  8 in total

1.  Multiphysics modeling toward enhanced guidance in hepatic microwave ablation: a preliminary framework.

Authors:  Jarrod A Collins; Jon S Heiselman; Logan W Clements; Daniel B Brown; Michael I Miga
Journal:  J Med Imaging (Bellingham)       Date:  2019-05-20

2.  Ultrasound-based navigation for open liver surgery using active liver tracking.

Authors:  Jasper N Smit; Koert F D Kuhlmann; Oleksandra V Ivashchenko; Bart R Thomson; Thomas Langø; Niels F M Kok; Matteo Fusaglia; Theo J M Ruers
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-05-27       Impact factor: 3.421

3.  Utility of Image Guidance in the Localization of Disappearing Colorectal Liver Metastases.

Authors:  Linda M Pak; Johan Gagnière; Peter J Allen; Vinod P Balachandran; Michael I D'Angelica; Ronald P DeMatteo; William R Jarnagin; Michael I Miga; Amber L Simpson; T Peter Kingham
Journal:  J Gastrointest Surg       Date:  2019-01-24       Impact factor: 3.452

4.  Intraoperative Correction of Liver Deformation Using Sparse Surface and Vascular Features via Linearized Iterative Boundary Reconstruction.

Authors:  Jon S Heiselman; William R Jarnagin; Michael I Miga
Journal:  IEEE Trans Med Imaging       Date:  2020-01-17       Impact factor: 10.048

Review 5.  Current state of the art imaging approaches for colorectal liver metastasis.

Authors:  Bita Hazhirkarzar; Pegah Khoshpouri; Mohammadreza Shaghaghi; Mounes Aliyari Ghasabeh; Timothy M Pawlik; Ihab R Kamel
Journal:  Hepatobiliary Surg Nutr       Date:  2020-02       Impact factor: 7.293

6.  Fast and accurate vision-based stereo reconstruction and motion estimation for image-guided liver surgery.

Authors:  Andrew D Speers; Burton Ma; William R Jarnagin; Sharifa Himidan; Amber L Simpson; Richard P Wildes
Journal:  Healthc Technol Lett       Date:  2018-10-19

Review 7.  Up-to-date intraoperative computer assisted solutions for liver surgery.

Authors:  Apollon Zygomalas; Ioannis Kehagias
Journal:  World J Gastrointest Surg       Date:  2019-01-27

Review 8.  Augmented Reality and Image-Guided Robotic Liver Surgery.

Authors:  Fabio Giannone; Emanuele Felli; Zineb Cherkaoui; Pietro Mascagni; Patrick Pessaux
Journal:  Cancers (Basel)       Date:  2021-12-14       Impact factor: 6.639

  8 in total

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