Evidence map›Paper›PMID 37712869›Full record

ArticleMedical physics2024

Technical note: Impact of dose voxel kernel (DVK) values on dosimetry estimates in

Rachele Danieli, Daniele Pistone, Jonathan Tranel, Francesca Botta, Carlos Uribe-Munoz, Davide Raspanti, Francesc Salvat, Scott J Wilderman, Manuel Bardiès, Ernesto Amato and 2 more

Open access · hybridAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Medical physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Comparative Dosimetry of Single and HybridDiseases (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Design and validation of a deep learning GAN for predictingJournal of applied clinical medical physics · 2026
    Article
  4. Article
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

12 authors at 11 institutions in 6 countries.

Rachele DanieliDepartment of Medical Physics, Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), Institut Jules Bordet, Brussels, Belgium.
Daniele PistoneDepartment of Biomedical and Dental Sciences and of Morphologic and Functional Imaging (BIOMORF), University of Messina, Messina, Italy.
Jonathan TranelDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Francesca BottaMedical Physics Unit, Instituto Europeo di Oncologia IRCCS, Milan, Italy.
Carlos Uribe-MunozDepartment of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.
Davide RaspantiTemasinergie S.p.A., Via Marcello Malpighi 120, Faenza, Italy.
Francesc SalvatFacultat de Física (FQA and ICC), Universitat de Barcelona, Diagonal 645, Barcelona, Catalonia, Spain.
Scott J WildermanDepartment of Nuclear Engineering and Radiological Sciences, University of Michigan, Ann Arbor, Michigan, USA.
Manuel BardièsDépartement de Médecine Nucléaire, Institut Régional du Cancer de Montpellier (ICM), Montpellier, France.
Ernesto AmatoDepartment of Biomedical and Dental Sciences and of Morphologic and Functional Imaging (BIOMORF), University of Messina, Messina, Italy.
Yuni K DewarajaDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Marta CremonesiRadiation Research Unit, Instituto Europeo di Oncologia IRCCS, Via Giuseppe Ripamonti 435, Milano, Italy.
University of Michigan · USBC Cancer Agency · CAEuropean Institute of Oncology · ITInserm · FRIstituto Nazionale di Fisica Nucleare, Sezione di Catania · ITOspedale San Giuseppe · ITPiaggio (Italy) · ITUniversitat de Barcelona · ESUniversité Libre de Bruxelles · BEUniversity of California, San Francisco · USUniversity of Catania · IT

Funding

Imaging and Dosimetry of Yttrium-90 for Personalized Cancer TreatmentR01EB022075 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DEWARAJA, YUNI K · 2016 to 2023
$4.7M
Bringing Capacity for Theranostic Dosimetry Planning to the Nuclear Medicine ClinicR01CA240706 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DEWARAJA, YUNI K · 2020 to 2024
$3.0M
NCI NIH HHS R01 CA240706NIBIB NIH HHS R01 EB022075
6 · The paper itself

Abstract

backgroundRadiopharmaceutical therapy (RPT) is an increasingly adopted modality for treating cancer. There is evidence that the optimization of the treatment based on dosimetry can improve outcomes. However, standardization of the clinical dosimetry workflow still represents a major effort. Among the many sources of variability, the impact of using different Dose Voxel Kernels (DVKs) to generate absorbed dose (AD) maps by convolution with the time-integrated activity (TIA) distribution has not been systematically investigated. PURPOSE: This study aims to compare DVKs and assess the differences in the ADs when convolving the same TIA map with different DVKs.

methodsDVKs of 3 × 3 × 3 mm

resultsThe CoV (% maximum difference) in voxels of normalized coordinates [0,0,0], [0,1,0], and [0,1,1] were 5%(21%), 9%(35%), and 10%(46%) for the

conclusionsThis study showed a considerable AD variability due exclusively to the use of different DVKs. A concerted effort by the scientific community would contribute to decrease these discrepancies, strengthening the consistency of AD calculation in RPT.

Indexed as

RadiometryRadiopharmaceuticalsHumansLiverRadiotherapy Planning, Computer-AssistedSoftwareRadiopharmaceuticals177Lu90Ydose-voxel-kernelpatient-specific dosimetryradionuclide therapy

Identifiers

PMID37712869
PMCPMC10843484
OpenAlexW4386757868

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.