ArticleJournal of computer assisted tomography
Analysis of 18 F-FDG PET/CT Imaging Features of Nodal Diffuse Large B-Cell Lymphoma and Follicular Lymphoma.
Article in Journal of computer assisted tomography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIn this study, we aimed to investigate the value of 18 F-fluorodeoxyglucose positron emission tomography/computed tomography ( 18 F-FDG PET/CT) in the differential diagnosis of nodal diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL) and to detect early FL transformation.
methodsWe retrospectively enrolled 141 and 56 patients with pathologically confirmed DLBCL and FL, respectively, who underwent 18 F-FDG PET/CT before treatment. The most metabolically active lymph nodes in each patient were selected to compare the imaging characteristics (including shape, size, density, adjacent tissue structures, and metabolism) between DLBCL and FL. Logistic regression was performed to identify the independent risk factors for DLBCL, and receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic value of the different parameters.
resultsCompared with DLBCL, FL was more likely to affect the para-iliac (62.5% vs. 32.6%, P <0.05) and inguinal (50.0% vs. 28.4%, P <0.05) regions. Significant differences ( P <0.05) were observed between DLBCL and FL in lesion fusion, necrosis, surrounding fat stranding, adjacent organ involvement, nonround shape, SUV max , SUV peak , SUV mean , SUL max , SUL peak , SUL mean , lesion SUV max /liver SUV max (L/L), lesion SUV max /mediastinum SUV max (L/M), and total lesion glycolysis (TLG). Multivariate logistic regression analysis identified SUV max >12.35, necrosis, and surrounding fat stranding as independent risk factors of DLBCL. The diagnostic model achieved an area under the curve (AUC) of 0.882, with a sensitivity of 69.5% and specificity of 94.6% for diagnosing DLBCL.
conclusions¹⁸F-FDG PET/CT may provide greater diagnostic value in distinguishing nodal DLBCL from FL and probably aid in the early detection of FL transformation and thereby guide timely clinical intervention, which could improve the prognosis.
Indexed as
Identifiers
What OpenQuestion holds
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.