Correlation of PET/CT Maximal Standardized Uptake Values with Clinicopathologic Parameters of Aggressive Non-Hodgkin’s Lymphoma
Bibliographic record
Abstract
Yingci Li,1 Dongbo Wu,2 Mohan Tian1 1Department of PET/CT-MR Center, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150081, People’s Republic of China; 2Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150081, People’s Republic of ChinaCorrespondence: Mohan Tian, Department of PET/CT-MR Center, Harbin Medical University Cancer Hospital, No. 150, Haping Road, Nangang District, Harbin City, Heilongjiang, 150081, People’s Republic of China, Email mohantianthm@21cn.comObjective: To investigate the correlation between the maximum standardized uptake value (SUVmax) of positron emission tomography (PET)/computed tomography (CT) scanning imaging with the clinicopathologic parameters of aggressive non-Hodgkin’s lymphoma (NHL) and its diagnostic value.Methods: A total of 128 patients with NHL were retrospectively selected. PET/CT examination was performed to calculate SUVmax, and clinicopathological data were collected. Pearson correlation test was used to analyze the correlation between them, and the relevant indicators were detected according to the pathological results. ROC curve was used to analyze the diagnostic value.Results: The level of PET/CT SUVmax was positively correlated with the levels of β 2-microglobulin (β 2-MG), lactate dehydrogenase (LDH), Ki-67, tumor size and bone marrow infiltration (P< 0.05). The PET/CT SUVmax and serum β 2-MG, LDH and Ki-67 levels in the aggressive group were significantly higher than those in the indolent group (P< 0.05). The AUC of the combined detection of PET/CT SUVmax, β 2-MG, LDH and Ki-67 in the diagnosis of aggressive NHL was 0.920, and the combined detection had a high diagnostic value.Conclusion: PET/CT SUVmax was correlated with a variety of clinicopathological parameters. Combined detection of PET/CT SUVmax has high diagnostic value in aggressive NHL.Keywords: PET/CT maximum standardized uptake values, β 2-MG, LDH, Ki-67, aggressive non-Hodgkin’s lymphoma
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".