Evidence map›Paper›PMID 41854810›Full record

ArticleMedical physics2026

Simplified dosimetry using two-time-point kinetic modeling of

Yiran Wang, Yoonsuk Huh, Katherine K Matthay, Kieuhoa T Vo, Miguel H Pampaloni, Steven G DuBois, Youngho Seo

Abstract read
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Article in Medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yiran WangDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
Yoonsuk HuhDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
Katherine K MatthayDepartment of Pediatrics, UCSF Benioff Children's Hospital, University of California San Francisco School of Medicine, San Francisco, California, USA.
Kieuhoa T VoDepartment of Pediatrics, UCSF Benioff Children's Hospital, University of California San Francisco School of Medicine, San Francisco, California, USA.
Miguel H PampaloniDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
Steven G DuBoisDana-Farber/Boston Children's Cancer and Blood Disorders Center, Department of Radiology Boston Children's Hospital, Boston, Massachusetts, USA.
Youngho SeoDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.

Funding

Vascular endothelial cell integrins in angiogenesisP01CA081403 · NCI · CHILDREN'S HOSPITAL OF LOS ANGELES · PI SEEGER, ROBERT CHARLES · 2000 to 2014
$28.5M
Shared Resource Core 2: Clinical Artificial Intelligence CoreU54CA274516 · NCI · DANA-FARBER CANCER INST · PI Ross I. Berbeco · 2023 to 2026
$8.1M
Energy-independent single photon molecular imaging technologyR01EB026331 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CUI, YONGGANG, SEO, YOUNGHO · 2018 to 2022
$2.6M
Pretherapy 124I-MIBG Dosimetry for Planning 131I-MIBG Neuroblastoma TherapyR01CA154561 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SEO, YOUNGHO · 2011 to 2016
$1.9M
Alex's Lemonade Stand FoundationDougherty FoundationMildred V. Strouss ChairNCI NIH HHS P01 CA081403NCI NIH HHS P01CA081403NCI NIH HHS R01 CA154561NCI NIH HHS R01CA154561NCI NIH HHS U54 CA274516NCI NIH HHS U54CA274516NIBIB NIH HHS R01 EB026331NIBIB NIH HHS R01EB026331
6 · The paper itself

Abstract

backgroundPURPOSE: This study aims to develop and validate a simplified dosimetry method for

methodsFive subjects with neuroblastoma underwent

resultsThe proposed method achieved substantially improved accuracy over mono-exponential fitting. Taking the bi-exponential method as the reference, the proposed method yielded an average TIA estimation bias of 0.3%, a standard deviation of 13.8%, and a root mean square error (RMSE) of 14.2%. In contrast, mono-exponential fitting resulted in a higher bias of 14.9%, a standard deviation of 36.3%, and an RMSE of 39.5%. Specifically, the proposed method outperformed mono-exponential fitting in tumors, adrenal glands, brain, and thyroid.

conclusionsWe developed a novel dosimetry method based on two-time-point imaging and kinetic modeling that enables simplified TIA estimation in

Indexed as

3-IodobenzylguanidineIodine RadioisotopesModels, BiologicalNeuroblastomaPositron Emission Tomography Computed TomographyHumansKineticsMaleRadiometryTime Factors3-IodobenzylguanidineIodine-124Iodine Radioisotopeskinetic modelingMIBGradiopharmaceutical therapy dosimetry

Identifiers

PMID41854810
PMCPMC13007715

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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.