Evidence map›Paper›PMID 41205100›Full record

ArticleAnnals of nuclear medicine2026

Clinical implementation of voxel-based dosimetry using image-based RT-PHITS Monte Carlo simulations for

Khajonsak Tantiwetchayanon, Kosuke Matsubara, Chatnapa Nuntue, Takayuki Shibutani, Takahiro Konishi, Hiroshi Wakabayashi

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Article in Annals of nuclear medicine, 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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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

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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

6 authors.

Khajonsak TantiwetchayanonDepartment of Quantum Medical Technology, Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Kodatsuno, Kanazawa, Ishikawa, Japan.
Kosuke MatsubaraDepartment of Quantum Medical Technology, Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kodatsuno, Kanazawa, Ishikawa, Japan. matsuk@mhs.mp.kanazawa-u.ac.jp.ORCID http://orcid.org/0000-0002-9933-0135
Chatnapa NuntueDepartment of Quantum Medical Technology, Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Kodatsuno, Kanazawa, Ishikawa, Japan.
Takayuki ShibutaniDepartment of Quantum Medical Technology, Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kodatsuno, Kanazawa, Ishikawa, Japan.
Takahiro KonishiDepartment of Radiological Technology, Kanazawa University Hospital, Takara-machi, Kanazawa, Ishikawa, Japan.
Hiroshi WakabayashiDepartment of Nuclear Medicine, Kanazawa University Hospital, Takara-machi, Kanazawa, Ishikawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to employ RadioTherapy extension of the Particle and Heavy Ion Transport code System (RT-PHITS) Monte Carlo (MC) simulation for estimating absorbed doses in target organs and tumors in patients administered with

methodsQuantitative SPECT/CT images were obtained from 17 patients across the abdominal region at four time points: approximately 4, 24, 72, and 120 h following the administration of

resultsRT-PHITS yielded higher mean absorbed doses per unit of administered activity compared to IDAC-Dose. The relative differences ranged between 0.63% and 15.35%, with the right kidney showing the largest discrepancy. When the same time-integrated data were used for both RT-PHITS and IDAC-Dose, relative differences remained below 10.40%.

conclusionRT-PHITS is a capable tool for calculating absorbed doses in

Indexed as

Monte Carlo MethodOctreotideOrganometallic CompoundsFemaleHumansMaleRadiometryRadiotherapy DosageRadiotherapy Planning, Computer-AssistedSingle Photon Emission Computed Tomography Computed Tomographylutetium Lu 177 dotatateOctreotideOrganometallic Compounds177Lu-DOTATATEMonte Carlo simulationPersonalized dosimetryRT-PHITSVoxel-based dosimetry

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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.