ArticleQuantitative imaging in medicine and surgery2025
Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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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.
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Who cites it
3 citing papers in PubMed.
- Article
- Performance of [European journal of nuclear medicine and molecular imaging · 2026Article
- The diagnostic value of the multiparameter combination diagnostic model based on 2-[Quantitative imaging in medicine and surgery · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Accurately differentiating hepatocellular carcinoma (HCC) from intrahepatic cholangiocarcinoma (ICC) is essential for therapeutic decision-making. This study aimed to explore the value of Fluor 18 ( Methods: Patients with suspected intrahepatic lesions who underwent Results: A total of 48 patients (age 55.4±10.8 years; 35 males and 13 females), including 28 in the HCC and 20 in the ICC group, were included. Univariate analysis revealed significant differences in clinical indicators such as gender, platelet count, and hepatitis B surface antigen, carbohydrate antigen 19-9 (CA19-9), and alpha fetoprotein (AFP) levels between the groups (P<0.05). Metabolic parameters including the maximum standardized uptake value (SUVmax), the total lesion-FAPI (TL-FAPI), and the target-to-background ratio (TBR) were statistically different between groups (P<0.01), and patients with ICC had higher values than those with HCC, while the FAPI tumor volume (FAPI-TV) was not statistically different (P>0.05). Multivariate binary logistic regression analysis identified the SUVmax (P=0.003) as an independent predictor for ICC, and the AUC of the regression-based diagnostic model for predicting ICC was 0.914 at an optimal cutoff value of 12.13, with a sensitivity of 85.0% and a specificity of 89.3%. Conclusions: SUVmax is an independent predictor for ICC. With the optimal cutoff value of 12.13,
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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.