Evidence map›Paper›PMID 32569389›Full record

ArticleMedical physics2020

Quantification of internal dosimetry in PET patients: individualized Monte Carlo vs generic phantom-based calculations.

Sara Neira, Jacobo Guiu-Souto, Pablo Díaz-Botana, Paulino Pais, Carlos Fernández, Virginia Pubul, Álvaro Ruibal, Cristian Candela-Juan, Araceli Gago-Arias, Miguel Pombar and 1 more

Abstract read
In one paragraph

Article in Medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Dosimetry Evaluation on the Use ofThe Malaysian journal of medical sciences : MJMS · 2025
    Article
  2. Monte Carlo methods for medical imaging research.Biomedical engineering letters · 2024
    Review
  3. Pre- and post-treatment image-based dosimetry inPhysics in medicine and biology · 2021
    Article
  4. Article
  5. Article
  6. 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

11 authors.

Sara NeiraGroup of Medical Physics and Biomathematics, Instituto de Investigación Sanitaria de Santiago, Travesía Choupana s/n, Santiago de Compostela, 15706, Spain.
Jacobo Guiu-SoutoDepartment of Medical Physics, Centro Oncolóxico de Galicia, C/ Doctor Camilo Beiras 1, Coruña, 15009 A, Spain.
Pablo Díaz-BotanaGroup of Medical Physics and Biomathematics, Instituto de Investigación Sanitaria de Santiago, Travesía Choupana s/n, Santiago de Compostela, 15706, Spain.
Paulino PaisDepartment of Nuclear Medicine, Centro Oncolóxico de Galicia, C/ Doctor Camilo Beiras 1, Coruña, 15009 A, Spain.
Carlos FernándezDepartment of Medical Physics, Centro Oncolóxico de Galicia, C/ Doctor Camilo Beiras 1, Coruña, 15009 A, Spain.
Virginia PubulDepartment of Nuclear Medicine, Complexo Hospitalario Universitario de Santiago de Compostela, Travesía Choupana s/n, Santiago de Compostela, 15706, Spain.
Álvaro RuibalDepartment of Nuclear Medicine, Complexo Hospitalario Universitario de Santiago de Compostela, Travesía Choupana s/n, Santiago de Compostela, 15706, Spain.
Cristian Candela-JuanCentro Nacional de Dosimetría, Instituto Nacional de Gestión Sanitaria, Av. Campanar 21, Valencia, 46009, Spain.
Araceli Gago-AriasGroup of Medical Physics and Biomathematics, Instituto de Investigación Sanitaria de Santiago, Travesía Choupana s/n, Santiago de Compostela, 15706, Spain.
Miguel PombarGroup of Molecular Imaging and Oncology, Instituto de Investigación Sanitaria de Santiago, Travesía Choupana s/n, Santiago de Compostela, 15706, Spain.
Juan Pardo-MonteroGroup of Medical Physics and Biomathematics, Instituto de Investigación Sanitaria de Santiago, Travesía Choupana s/n, Santiago de Compostela, 15706, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this work is to calculate individualized dose distributions in patients undergoing

methodsWe developed a MC-based methodology for individualized internal dose calculations, which relies on CT images (for organ segmentation and dose deposition), PET images (for organ segmentation and distributions of activities), and a biokinetic model (which works with information provided by PET and CT images) to obtain cumulated activities. The software vGATE version 8.1. was employed to carry out the Monte Carlo calculations. We also calculated deposited doses with nonindividualized phantom-based methods (Cristy-Eckerman, Stabin, and ICRP-133).

resultsMedian MC-calculated dose/activity values are within 0.01-0.03 mGy/MBq for most organs, with higher doses delivered especially to the bladder wall, major vessels, and brain (medians of 0.058, 0.060, 0.066 mGy/MBq, respectively). Comparison with values obtained with nonindividualized phantom-based methods has shown important differences in many cases (ranging from -80% to + 260%). These differences are significant (p < 0.05) for several organs/tissues, namely, remaining tissues, adrenals, bladder wall, bones, upper large intestine, heart, pancreas, skin, and stomach wall.

conclusionsThe methodology presented in this work is a viable and useful method to calculate internal dose distributions in patients undergoing medical procedures involving radiopharmaceuticals, individually, with higher accuracy than phantom-based methods, fulfilling the guidelines provided by the European Council directive 2013/59/Euratom.

Indexed as

Positron Emission Tomography Computed TomographyRadiometryFluorodeoxyglucose F18HumansMonte Carlo MethodPhantoms, ImagingFluorodeoxyglucose F18internal dosimetryMonte CarloPETremote computation

Identifiers

PMID32569389
PMCPMC7586975

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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.