Evidence map›Paper›PMID 36375771›Full record

ArticlePractical radiation oncology

Failure Mode and Effects Analysis for Experimental Use of FLASH on a Clinical Accelerator.

Mahbubur Rahman, Rongxiao Zhang, David J Gladstone, Benjamin B Williams, Erli Chen, Chad A Dexter, Lawrence Thompson, Petr Bruza, Brian W Pogue

Open access · greenAbstract read
In one paragraph

Article in Practical radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Mahbubur RahmanThayer School of Engineering, Dartmouth College, Hanover, New Hampshire; University of Texas Southwestern Medical Center, Dallas, Texas. Electronic address: Mahbubur.Rahman.th@dartmouth.edu.
Rongxiao ZhangThayer School of Engineering, Dartmouth College, Hanover, New Hampshire; Department of Medicine, Radiation Oncology, Geisel School of Medicine, Dartmouth College Hanover, New Hampshire; Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
David J GladstoneThayer School of Engineering, Dartmouth College, Hanover, New Hampshire; Department of Medicine, Radiation Oncology, Geisel School of Medicine, Dartmouth College Hanover, New Hampshire; Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
Benjamin B WilliamsThayer School of Engineering, Dartmouth College, Hanover, New Hampshire; Department of Medicine, Radiation Oncology, Geisel School of Medicine, Dartmouth College Hanover, New Hampshire; Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
Erli ChenCheshire Medical Center, Keene, New Hampshire.
Chad A DexterNorris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
Lawrence ThompsonNorris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
Petr BruzaThayer School of Engineering, Dartmouth College, Hanover, New Hampshire.
Brian W PogueThayer School of Engineering, Dartmouth College, Hanover, New Hampshire; Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire; Department of Surgery, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire; Department of Medical Physics, Wisconsin Institutes for Medical Research, University of Wisconsin, Madison, Wisconsin.
Dartmouth College · USDartmouth–Hitchcock Medical Center · USCheshire Medical Center · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
OPTICAL CHERENKOV IMAGING DOSIMETRY IN HUMAN RADIOTHERAPYR01EB023909 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI GLADSTONE, DAVID J., JARVIS, LESLEY A · 2017 to 2024
$4.4M
Optimization of MeV FLASH radiotherapy for normal tissue preservationU01CA260446 · NCI · DARTMOUTH COLLEGE · PI David J. Gladstone, Jack Hoopes · 2022 to 2026
$3.1M
Cerenkov excited luminescence sheet imaging (CELSI)R01EB024498 · NIBIB · DARTMOUTH COLLEGE · PI POGUE, BRIAN WILLIAM · 2017 to 2020
$2.2M
Drug-eluting Brachytherapy Implants for Chemo-radiation TherapyR42CA224646 · NCI · THERANANO, LLC · PI SRIDHAR, SRINIVAS · 2019 to 2020
$2.0M
Ultra-fast imaging for the safe delivery of electron FLASH radiation therapyR44CA268466 · NCI · DOSEOPTICS, LLC · PI BRUZA, PETR · 2022 to 2023
$2.0M
NCI NIH HHS P30 CA023108NCI NIH HHS R42 CA224646NCI NIH HHS R44 CA268466NCI NIH HHS U01 CA260446NIBIB NIH HHS R01 EB023909NIBIB NIH HHS R01 EB024498
6 · The paper itself

Abstract

purposeThe use of a linear accelerator (LINAC) in ultrahigh-dose-rate (UHDR) mode can provide a conduit for wider access to UHDR FLASH effects, sparing normal tissue, but care needs to be taken in the use of such systems to ensure errors are minimized. The failure mode and effects analysis was carried out in a team that has been involved in converting a LINAC between clinical use and UHDR experimental mode for more than 1 year after the proposed methods of TG100. METHODS AND MATERIALS: A team of 9 professionals with extensive experience were polled to outline the process map and workflow for analysis, and developed fault trees for potential errors, as well as failure modes that would result. The team scored the categories of severity magnitude, occurrence likelihood, and detectability potential in a scale of 1 to 10, so that a risk priority number (RPN = severity×occurrence×detectability) could be assessed for each.

resultsA total of 46 potential failure modes were identified, including 5 with an RPN >100. These failure modes involved (1) patient set up, (2) gating mechanisms in delivery, and (3) detector in the beam stop mechanism. The identified methods to mitigate errors included the (1) use of a checklist post conversion, (2) use of robust radiation detectors, (3) automation of quality assurance and beam consistency checks, and (4) implementation of surface guidance during beam delivery.

conclusionsThe failure mode and effects analysis process was considered critically important in this setting of a new use of a LINAC, and the expert team developed a higher level of confidence in the ability to safely move UHDR LINAC use toward expanded research access.

Indexed as

Healthcare Failure Mode and Effect AnalysisRadiosurgeryHumansParticle AcceleratorsProbability

Identifiers

PMID36375771
PMCPMC10373055
OpenAlexW4308782154

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.