ArticleBMC medical imaging2018
Prognostic value of metabolic tumor volume of pretreatment
Article in BMC medical imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- L-3-[International journal of molecular sciences · 2025Pooled it
- CD98 Light Chain LAT1 Tracers in PET-CT Diagnosis of Cancer Patients.Anti-cancer agents in medicinal chemistry · 2026Review
- Prognostic value of pre-treatment metabolic tumor volume on [S‑methyl‑Annals of nuclear medicine · 2025Article
- LAT1-specific PET radiotracers: Development and clinical experiences of a new class of cancer-specific radiopharmaceuticals.Theranostics · 2025Review
- Novel computational biology modeling system can accurately forecast response to neoadjuvant therapy in early breast cancer.Breast cancer research : BCR · 2023Article
- Positron emission tomography imaging of lung cancer: An overview of alternative positron emission tomography tracers beyond F18 fluorodeoxyglucose.Frontiers in medicine · 2022Review
- Relationship Between Tumor Immune Markers and Fluorine-18-α-Methyltyrosine ([Molecular imaging and biology · 2020Article
- Tumor volume is more reliable to predict nodal metastasis in non-small cell lung cancer of 3.0 cm or less in the greatest tumor diameter.World journal of surgical oncology · 2020Article
- Maximum standardized uptake value of primary tumor (SUVmax_PT) and horizontal range between two most distant PET-positive lymph nodes predict patient outcome in inoperable stage III NSCLC patients after chemoradiotherapy.Translational lung cancer research · 2020Article
- Development and External Validation of a Nomogram for Predicting Survival in Patients With Stage IA Non-small Cell Lung Cancer ≤2 cm Undergoing Sublobectomy.Frontiers in oncology · 2019Article
- The Study of Tumor Volume as a Prognostic Factor in T Staging System for Non-Small Cell Lung Cancer: An Exploratory Study.Technology in cancer research & treatmentArticle
- Next-generation radiomic sequencing in non-small cell lung cancer: an alternative model to predict mutations from [18F]FDG PET/CT.Therapeutic advances in respiratory diseaseArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to determine the prognostic value of positron emission tomography (PET) metabolic parameters-namely metabolic tumor volume (MTV), total lesion glycolysis (TLG), and total lesion retention (TLR)-on fluorine-18 (
methodsThe study group comprised 112 NSCLC patients who underwent
resultsHigher TNM, higher clinical stage, inoperable status, and higher values for all PET parameters (both
conclusionsMTV of
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.