Developing an intraoperative 3T MRI-guided brachytherapy program within a diagnostic imaging suite: Methods, process workflow, and value-based analysis.


Journal

Brachytherapy
ISSN: 1873-1449
Titre abrégé: Brachytherapy
Pays: United States
ID NLM: 101137600

Informations de publication

Date de publication:
Historique:
received: 25 06 2019
revised: 11 09 2019
accepted: 21 09 2019
pubmed: 2 12 2019
medline: 14 4 2021
entrez: 2 12 2019
Statut: ppublish

Résumé

We integrated a brachytherapy procedural workflow within an existing diagnostic 3.0-T (3T) MRI suite. This setup facilitates intraoperative MRI guidance for optimal applicator positioning, particularly for interstitial needle placements in gynecologic cases with extensive parametrial involvement. Here we summarize the multidisciplinary collaboration, equipment, and supplies necessary to implement an intraoperative MRI-guided brachytherapy program; outline the operational workflow via process maps; and address safety precautions. We evaluate internal resource utilization associated with this progressive approach via time-driven activity-based costing methodology, comparing institutional costs to that of a traditional workflow (within a CT suite, followed by separate postprocedure MRI) over a single brachytherapy procedural episode. Resource utilization was only 15% higher for the intraoperative MRI-based workflow, attributable to use of the MRI suite and increased radiologist effort. Personnel expenses were the greatest cost drivers for either workflow, accounting for 76-77% of total resource utilization. However, use of the MRI suite allows for potential cost-shifting opportunities from other resources, such as CT, during the procedural episode. Improvements in process speed can also decrease costs: for each 10% decrease in case duration from baseline procedure time, total costs could decrease by roughly 8%. This analysis supports the feasibility of an intraoperative MRI-guided brachytherapy program within a diagnostic MRI suite and defines many of the resources required for this procedural workflow. Longer followup will define the full utility of this approach in optimizing the therapeutic ratio for gynecologic cancers, which may translate into lower costs and higher value with time, over a full cycle of care.

Identifiants

pubmed: 31786169
pii: S1538-4721(19)30588-4
doi: 10.1016/j.brachy.2019.09.010
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

427-437

Informations de copyright

Copyright © 2019. Published by Elsevier Inc.

Auteurs

Matthew S Ning (MS)

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.

Aradhana M Venkatesan (AM)

Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX.

R Jason Stafford (RJ)

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

Thao P Bui (TP)

Department of Anesthesiology, The University of Texas MD Anderson Cancer Center, Houston, TX.

Richard Carlson (R)

Department of Anesthesiology, The University of Texas MD Anderson Cancer Center, Houston, TX.

Neil S Bailard (NS)

Department of Anesthesiology, The University of Texas MD Anderson Cancer Center, Houston, TX.

Sastry Vedam (S)

Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX.

Rasheda Davis (R)

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX.

Nicholas D Olivieri (ND)

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.

Alexis B Guzman (AB)

Department of Finance, The University of Texas MD Anderson Cancer Center, Houston, TX.

James R Incalcaterra (JR)

Department of Finance, The University of Texas MD Anderson Cancer Center, Houston, TX.

Florence A McKelvey (FA)

Department of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Management, Policy, and Community Health, University of Texas Health Science Center School of Public Health, Houston, TX.

Nikhil G Thaker (NG)

Department of Radiation Oncology, Arizona Oncology, The US Oncology Network, Tucson, AZ.

Gaiane M Rauch (GM)

Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX.

Chad Tang (C)

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.

Steven J Frank (SJ)

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.

Melissa M Joyner (MM)

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.

Lilie L Lin (LL)

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.

Anuja Jhingran (A)

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.

Patricia J Eifel (PJ)

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.

Ann H Klopp (AH)

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX. Electronic address: aklopp@mdanderson.org.

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Classifications MeSH