Evidence map›Paper›PMID 28864401›Full record

ArticleInternational journal of radiation oncology, biology, physics2017

Implementing Radiation Dose-Volume Liver Response in Biomechanical Deformable Image Registration.

Daniel F Polan, Mary Feng, Theodore S Lawrence, Randall K Ten Haken, Kristy K Brock

Open access · greenAbstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 26 citations in OpenAlex.

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  5. PET/CT-Based Absorbed Dose Maps inJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
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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

5 authors at 1 institution in 1 country.

Daniel F PolanDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan. Electronic address: polandan@med.umich.edu.
Mary FengDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, University of California, San Francisco, California.
Theodore S LawrenceDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Randall K Ten HakenDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Kristy K BrockDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, Texas.
University of Michigan–Ann Arbor · US

Funding

TREATMENT VERIFICATION AND TREATMENT PLAN REFINEMENTP01CA059827 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KESSLER, MARC LEWIS, LAWRENCE, THEODORE S · 1993 to 2018
$37.9M
NCI NIH HHS P01 CA059827
6 · The paper itself

Abstract

purposeUnderstanding anatomic and functional changes in the liver resulting from radiation therapy is fundamental to the improvement of normal tissue complication probability models needed to advance personalized medicine. The ability to link pretreatment and posttreatment imaging is often compromised by significant dose-dependent volumetric changes within the liver that are currently not accounted for in deformable image registration (DIR) techniques. This study investigated using delivered dose, in combination with other patient factors, to biomechanically model longitudinal changes in liver anatomy for follow-up care and re-treatment planning. METHODS AND MATERIALS: Population models describing the relationship between dose and hepatic volume response were produced using retrospective data from 33 patients treated with focal radiation therapy. A DIR technique was improved by implementing additional boundary conditions associated with the dose-volume response in series with a previously developed biomechanical DIR algorithm. Evaluation of this DIR technique was performed on computed tomography imaging from 7 patients by comparing the model-predicted volumetric change within the liver with the observed change, tracking vessel bifurcations within the liver through the deformation process, and then determining target registration error between the predicted and identified posttreatment bifurcation points.

resultsEvaluation of the proposed DIR technique showed that all lobes were volumetrically deformed to within the respective contour variability of each lobe. The average target registration error achieved was 7.3 mm (2.8 mm left-right and anterior-posterior and 5.1 mm superior-inferior), with the superior-inferior component within the average limiting slice thickness (6.0 mm). This represented a significant improvement (P<.01, Wilcoxon test) over the application of the previously published biomechanical DIR algorithm (10.9 mm).

conclusionsThis study demonstrates the feasibility of implementing dose-driven volumetric response in deformable registration, enabling improved accuracy of modeling liver anatomy changes, which could allow for improved dose accumulation, particularly for patients who require additional liver radiation therapy.

Indexed as

AftercareAlgorithmsAnatomic LandmarksBiomechanical PhenomenaDose-Response Relationship, RadiationHumansLiverLiver NeoplasmsRadiotherapy DosageRadiotherapy Planning, Computer-AssistedRetreatmentRetrospective StudiesTumor Burden

Identifiers

PMID28864401
PMCPMC5654673
OpenAlexW2732113835

What OpenQuestion holds

Textmetadata
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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.