ArticleEJNMMI physics2025
Optimal image-derived input function models for multi-parameter analysis and acceptably reduced acquisition time in [
Article in EJNMMI physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
- The importance of mechanical forces in chronic respiratory diseases.European respiratory review : an official journal of the European Respiratory Society · 2026Review
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Authors and funding
10 authors.
Funding
Abstract
purposeLung tumors, which receive dual-blood-supply from the pulmonary and bronchial arteries, may exhibit distinct kinetic parameters compared to other malignancies. This study aimed to investigate the impact of various factors on the kinetic parameter quantification of [
methodsA total of 19 patients with lung tumors underwent 60-minute total-body dynamic [
resultsThe time-activity curve (TAC) of the RV exhibited the earliest and highest peak, followed by those of the LV and DA. Impact of IDIF model and tumor size on kinetic parameters of primary tumors was observed. Specifically, in the RVIF model, size of tumor > 3 cm exhibited higher K
conclusionThe RVIF model appears to be more suitable than the DAIF model for quantifying kinetic parameters in [
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Registered trials
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