CT Navigation for Percutaneous Needle Placement: How I Do It.

CT Interventions CT Navigation CT biopsy Needle guidance

Journal

Techniques in vascular and interventional radiology
ISSN: 1557-9808
Titre abrégé: Tech Vasc Interv Radiol
Pays: United States
ID NLM: 9806675

Informations de publication

Date de publication:
Sep 2023
Historique:
medline: 10 12 2023
pubmed: 10 12 2023
entrez: 9 12 2023
Statut: ppublish

Résumé

CT navigation (CTN) has recently been developed to combine many of the advantages of conventional CT and CT-fluoroscopic guidance for needle placement. CTN systems display real-time needle position superimposed on a CT dataset. This is accomplished by placing electromagnetic (EM) or optical transmitters/sensors on the patient and needle, combined with fiducials placed within the scan field to superimpose a known needle location onto a CT dataset. Advantages of CTN include real-time needle tracking using a contemporaneous CT dataset with the patient in the treatment position, reduced radiation to the physician, facilitation of procedures outside the gantry plane, fewer helical scans during needle placement, and needle guidance based on diagnostic-quality CT datasets. Limitations include the display of a virtual (vs actual) needle position, which can be inaccurate if the needle bends, the fiducial moves, or patient movement occurs between scans, and limitations in anatomical regions with a high degree of motion such as the lung bases. This review summarizes recently introduced CTN technologies in comparison to historical methods of CT needle guidance. A "How I do it" section follows, which describes how CT navigation has been integrated into the study center for both routine and challenging procedures, and includes step-by-step explanations, technical tips, and pitfalls.

Identifiants

pubmed: 38071032
pii: S1089-2516(23)00027-6
doi: 10.1016/j.tvir.2023.100911
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

100911

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Auteurs

Anna M Sorensen (AM)

Departments of Radiology, University of Wisconsin, Madison, WI.

Annie M Zlevor (AM)

Departments of Radiology, University of Wisconsin, Madison, WI.

Meridith A Kisting (MA)

Departments of Radiology, University of Wisconsin, Madison, WI.

Allison B Couillard (AB)

Departments of Radiology, University of Wisconsin, Madison, WI.

Timothy J Ziemlewicz (TJ)

Departments of Radiology, University of Wisconsin, Madison, WI.

Giuseppe V Toia (GV)

Departments of Radiology, University of Wisconsin, Madison, WI; Medical Physics, University of Wisconsin, Madison, WI.

J Louis Hinshaw (JL)

Departments of Radiology, University of Wisconsin, Madison, WI; Departments of Urology, University of Wisconsin, Madison, WI.

Michael Woods (M)

Departments of Radiology, University of Wisconsin, Madison, WI.

Lindsay M Stratchko (LM)

Departments of Radiology, University of Wisconsin, Madison, WI.

Perry J Pickhardt (PJ)

Departments of Radiology, University of Wisconsin, Madison, WI.

Marcia L Foltz (ML)

Departments of Radiology, University of Wisconsin, Madison, WI.

Walter W Peppler (WW)

Medical Physics, University of Wisconsin, Madison, WI.

Fred T Lee (FT)

Departments of Radiology, University of Wisconsin, Madison, WI; Departments of Urology, University of Wisconsin, Madison, WI; Biomedical Engineering, University of Wisconsin, Madison, WI.

Erica M Knavel Koepsel (EM)

Departments of Radiology, University of Wisconsin, Madison, WI. Electronic address: knavel@wisc.edu.

Classifications MeSH