Evidence map›Paper›PMID 32764764›Full record

ArticlePloS one2020

Comparison of different calculation techniques for absorbed dose assessment in patient specific peptide receptor radionuclide therapy.

Domenico Finocchiaro, Salvatore Berenato, Valentina Bertolini, Gastone Castellani, Nico Lanconelli, Annibale Versari, Emiliano Spezi, Mauro Iori, Federica Fioroni, Elisa Grassi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Design and validation of a deep learning GAN for predictingJournal of applied clinical medical physics · 2026
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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

10 authors at 3 institutions in 2 countries.

Domenico FinocchiaroAzienda Unità Sanitaria Locale di Reggio Emilia-IRCCS, Medical Physics Unit, Reggio Emilia, Italy.
Salvatore BerenatoDepartment of Medical Physics, Velindre Cancer Centre, Cardiff, United Kingdom.
Valentina BertoliniAzienda Unità Sanitaria Locale di Reggio Emilia-IRCCS, Medical Physics Unit, Reggio Emilia, Italy.
Gastone CastellaniDepartment of Physics and Astronomy, University of Bologna, Bologna, Italy.
Nico LanconelliDepartment of Physics and Astronomy, University of Bologna, Bologna, Italy.
Annibale VersariAzienda Unità Sanitaria Locale di Reggio Emilia-IRCCS, Nuclear Medicine Unit, Reggio Emilia, Italy.
Emiliano SpeziDepartment of Medical Physics, Velindre Cancer Centre, Cardiff, United Kingdom.
Mauro IoriAzienda Unità Sanitaria Locale di Reggio Emilia-IRCCS, Medical Physics Unit, Reggio Emilia, Italy.
Federica FioroniAzienda Unità Sanitaria Locale di Reggio Emilia-IRCCS, Medical Physics Unit, Reggio Emilia, Italy.ORCID 0000-0002-4834-2830
Elisa GrassiAzienda Unità Sanitaria Locale di Reggio Emilia-IRCCS, Medical Physics Unit, Reggio Emilia, Italy.
Azienda Sanitaria Unità Locale di Reggio Emilia · ITUniversity of Bologna · ITVelindre Cancer Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe present work concerns the comparison of the performances of three systems for dosimetry in RPT that use different techniques for absorbed dose calculation (organ-level dosimetry, voxel-level dose kernel convolution and Monte Carlo simulations). The aim was to assess the importance of the choice of the most adequate calculation modality, providing recommendations about the choice of the computation tool.

methodsThe performances were evaluated both on phantoms and patients in a multi-level approach. Different phantoms filled with a 177Lu-radioactive solution were used: a homogeneous cylindrical phantom, a phantom with organ-shaped inserts and two cylindrical phantoms with inserts different for shape and volume. A total of 70 patients with NETs treated by PRRT with 177Lu-DOTATOC were retrospectively analysed.

resultsThe comparisons were performed mainly between the mean values of the absorbed dose in the regions of interest. A general better agreement was obtained between Dose kernel convolution and Monte Carlo simulations results rather than between either of these two and organ-level dosimetry, both for phantoms and patients. Phantoms measurements also showed the discrepancies mainly depend on the geometry of the inserts (e.g. shape and volume). For patients, differences were more pronounced than phantoms and higher inter/intra patient variability was observed.

conclusionThis study suggests that voxel-level techniques for dosimetry calculation are potentially more accurate and personalized than organ-level methods. In particular, a voxel-convolution method provides good results in a short time of calculation, while Monte Carlo based computation should be conducted with very fast calculation systems for a possible use in clinics, despite its intrinsic higher accuracy. Attention to the calculation modality is recommended in case of clinical regions of interest with irregular shape and far from spherical geometry, in which Monte Carlo seems to be more accurate than voxel-convolution methods.

Indexed as

AlgorithmsHumansLutetiumMonte Carlo MethodPhantoms, ImagingRadiation DosageRadioisotopesRadiometryReceptors, PeptideRetrospective StudiesLutetiumLutetium-177RadioisotopesReceptors, Peptide

Identifiers

PMID32764764
PMCPMC7413508
OpenAlexW3047694216

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.