Evidence map›Paper›PMID 41712768›Full record

Observational studyJMIR research protocols2026

Evaluation of Reduced Single-Photon Emission Computed Tomography Imaging Protocols and Software Variability in

Takayuki Yagihashi, Kenta Miwa, Noriaki Miyaji, Satoru Sugimoto, Hideki Hayakawa, Noritoshi Kobayashi, Shoko Takano, Taro Murai

Abstract readObservational Study
In one paragraph

Observational study in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

8 authors.

Takayuki YagihashiDepartment of Medical Physics, Shonan Kamakura General Hospital, Kamakura, Japan.ORCID 0000-0003-3443-3800
Kenta MiwaDepartment of Radiological Sciences, Fukushima Medical University, Fukushima, Japan.ORCID 0000-0003-0802-0180
Noriaki MiyajiDepartment of Radiological Sciences, Fukushima Medical University, Fukushima, Japan.ORCID 0000-0003-1518-831X
Satoru SugimotoMedical Science Data-driven Mathematics Team, Division of Applied Mathematical Science, RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences, Yokohama, Japan.ORCID 0000-0001-8153-0377
Hideki HayakawaRadiology Division, Shonan Kamakura General Hospital, Kamakura, Japan.ORCID 0009-0005-3339-6018
Noritoshi KobayashiDepartment of Oncology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.ORCID 0000-0002-9181-3722
Shoko TakanoDepartment of Radiation Oncology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.ORCID 0000-0001-7784-914X
Taro MuraiDepartment of Radiation Oncology, Shonan Kamakura General Hospital, 1370-1 Okamoto, Kamakura, 247-8533, Japan, 81 467-46-1717.ORCID 0000-0002-3444-2945

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Targeted radiopharmaceutical therapy (TRT) offers a promising approach for cancer treatment by delivering radiation directly to tumor cells while sparing healthy tissues. Accurate dosimetry of organs and tumors is crucial to optimize therapeutic efficacy and minimize toxicity, particularly for dose-limiting organs such as the kidneys. Although routine dosimetry using single-photon emission computed tomography (SPECT) is recommended per guidelines, its widespread clinical application remains limited owing to a lack of consensus on the optimal frequency and timing of SPECT scans for accurate dosimetry, which leads to variability in clinical practice and hinders robust dose-response relationships. Furthermore, absorbed dose calculations rely on software-specific curve-fitting models. Thus, discrepancies in dose estimates among different simulation software programs pose a significant challenge to standardizing dosimetry workflows. Objective: We aimed to explore the optimal SPECT imaging schedule, evaluate differences among simulation software programs, and establish a standardized protocol for future epidemiological research to define organ tolerance doses and facilitate wider adoption of personalized TRT regimens. Methods: This exploratory observational trial will determine the optimal SPECT imaging protocol and consistency of dosimetry estimates using software programs for Lu-177-DOTATATE therapy in patients with neuroendocrine tumors. In a single treatment cycle, SPECT imaging will be performed at 4, 24, 96, and 168 hours following Lu-177-DOTATATE administration. The true absorbed dose cannot be directly measured; therefore, doses calculated using all time points (the 4-point method) for each patient will be used as the reference standard and compared with estimates derived from 1- to 3-point methods. Consequently, 15 dose simulations will be conducted per patient. This study implements a 5+5 design (rule-based design). The primary endpoint is the incidence of dose errors for each patient across different dose-calculation software systems. The kidney absorbed dose will be the primary focus of evaluation, with secondary analyses including tumor and other organ dosimetry. In principle, a dose error of <5% will be considered acceptable in each software system, depending on the absolute dose level. Differences among software systems and between patients will be evaluated using descriptive statistical methods. The study was approved by the Tokushukai Group Ethics Committee (Approval No. 2447). Results: Recruitment began on March 5, 2024, and 4 participants have been enrolled as of September 2025. Data collection is expected to be completed by February 2027, with the study results anticipated in August 2027. Conclusions: This study will evaluate whether simplified SPECT imaging protocols can maintain dosimetric accuracy while reducing the burden on patients and providers. It will also compare absorbed dose estimates across software programs to assess consistency and reliability as a reference. Findings will be disseminated through open-access peer-reviewed journals and relevant conferences and events.

Indexed as

OctreotideOrganometallic CompoundsRadiometrySoftwareTomography, Emission-Computed, Single-PhotonHumansRadiopharmaceuticalslutetium Lu 177 dotatateOctreotideOrganometallic CompoundsRadiopharmaceuticalscancerdosimetryLutetium-177radioactivitytargeted radiopharmaceutical therapy

Identifiers

PMID41712768
PMCPMC12919742

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.