Decision-making based on 3D printed models in laparoscopic liver resections with intraoperative ultrasound: a prospective observational study.


Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Mar 2020
Historique:
received: 02 08 2019
accepted: 11 10 2019
revised: 28 08 2019
pubmed: 28 11 2019
medline: 28 1 2021
entrez: 28 11 2019
Statut: ppublish

Résumé

The aim of this study was to evaluate impact of 3D printed models on decision-making in context of laparoscopic liver resections (LLR) performed with intraoperative ultrasound (IOUS) guidance. Nineteen patients with liver malignances (74% were colorectal cancer metastases) were prospectively qualified for LLR or radiofrequency ablation in a single center from April 2017 to December 2018. Models were 3DP in all cases based on CT and facilitated optical visualization of tumors' relationships with portal and hepatic veins. Planned surgical extent and its changes were tracked after CT analysis and 3D model inspection, as well as intraoperatively using IOUS. Nineteen patients were included in the analysis. Information from either 3DP or IOUS led to changes in the planned surgical approach in 13/19 (68%) patients. In 5/19 (26%) patients, the 3DP model altered the plan of the surgery preoperatively. In 4/19 (21%) patients, 3DP independently changed the approach. In one patient, IOUS modified the plan post-3DP. In 8/19 (42%) patients, 3DP model did not change the approach, whereas IOUS did. In total, IOUS altered surgical plans in 9 (47%) cases. Most of those changes (6/9; 67%) were caused by detection of additional lesions not visible on CT and 3DP. 3DP can be helpful in planning complex and major LLRs and led to changes in surgical approach in 26.3% (5/19 patients) in our series. 3DP may serve as a useful adjunct to IOUS. • 3D printing can help in decision-making before major and complex resections in patients with liver cancer. • In 5/19 patients, 3D printed model altered surgical plan preoperatively. • Most surgical plan changes based on intraoperative ultrasonography were caused by detection of additional lesions not visible on CT and 3D model.

Identifiants

pubmed: 31773294
doi: 10.1007/s00330-019-06511-2
pii: 10.1007/s00330-019-06511-2
pmc: PMC7033053
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

1306-1312

Subventions

Organisme : NIBIB NIH HHS
ID : T32 EB021955
Pays : United States
Organisme : Ministerstwo Nauki i Szkolnictwa Wyższego (PL)
ID : 0054/DIA/2018/47

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Auteurs

Jan Witowski (J)

2nd Department of General Surgery, Jagiellonian University Medical College, Kopernika 21, 31-501, Krakow, Poland.
Center for Research, Training and Innovation in Surgery (CERTAIN Surgery), Krakow, Poland.

Andrzej Budzyński (A)

2nd Department of General Surgery, Jagiellonian University Medical College, Kopernika 21, 31-501, Krakow, Poland.
Center for Research, Training and Innovation in Surgery (CERTAIN Surgery), Krakow, Poland.

Anna Grochowska (A)

Department of Radiology, Jagiellonian University Medical College, Kopernika 19, 31-501, Krakow, Poland.

David H Ballard (DH)

Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA.

Piotr Major (P)

2nd Department of General Surgery, Jagiellonian University Medical College, Kopernika 21, 31-501, Krakow, Poland.
Center for Research, Training and Innovation in Surgery (CERTAIN Surgery), Krakow, Poland.

Mateusz Rubinkiewicz (M)

2nd Department of General Surgery, Jagiellonian University Medical College, Kopernika 21, 31-501, Krakow, Poland.

Adriana Złahoda-Huzior (A)

Department of Measurement and Electronics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-065, Krakow, Poland.

Tadeusz J Popiela (TJ)

Department of Radiology, Jagiellonian University Medical College, Kopernika 19, 31-501, Krakow, Poland.

Mateusz Wierdak (M)

2nd Department of General Surgery, Jagiellonian University Medical College, Kopernika 21, 31-501, Krakow, Poland.

Michał Pędziwiatr (M)

2nd Department of General Surgery, Jagiellonian University Medical College, Kopernika 21, 31-501, Krakow, Poland. michal.pedziwiatr@uj.edu.pl.
Center for Research, Training and Innovation in Surgery (CERTAIN Surgery), Krakow, Poland. michal.pedziwiatr@uj.edu.pl.

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