ArticleCureus2025
Establishing Standardized Uptake Value Threshold for Urologic Malignancies With New Analytic Software Based on Extended Single-Photon Emission Computed Tomography-Processed Bone Scintigraphy Images.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Total Bone Uptake as a Quantitative Imaging Biomarker for Prostate Cancer With Bone Metastases.Cancer diagnosis & prognosisArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate reference thresholds are critical for reliable interpretation and quantification in nuclear medicine imaging. In recent years, single-photon emission computed tomography (SPECT)/CT systems capable of standardized uptake value (SUV) analysis have become commercially available; however, most SPECT/CT systems lack the capability to perform SUV analysis. The GI-BONE system (AZE Co., Ltd., Tokyo, Japan) is a new vendor-free software that incorporates a tool for calculating the becquerel calibration factor (BCF), which converts SPECT images from a count-based scale to a radioactivity concentration scale comparable to that of PET. This study aimed to first describe a way for defining optimal SUV threshold specific to GI-BONE analysis using extended SPECT (xSPECT), which is characterized by its capability to facilitate more precise diagnosis and evaluation through enhanced analytical refinement to conventional SPECT imaging. This approach can guide clinicians in formulating their own disease system-specific thresholds, an indispensable step in adapting GI-BONE as a newly applicable and reliable mode of xSPECT verification technology.
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Registered trials
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.