ReviewEuropean journal of nuclear medicine and molecular imaging2003
The role of SPET and PET in monitoring tumour response to therapy.
Review in European journal of nuclear medicine and molecular imaging, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed.
- Radiolabeled Nanogels: From Multimodality Imaging to Combination Therapy of Cancer.Small science · 2025Review
- Dose Reduction in Scintigraphic Imaging Through Enhanced Convolutional Autoencoder-Based Denoising.Journal of imaging · 2025Article
- Radiolabeled Dendrimer Coated Nanoparticles for Radionuclide Imaging and Therapy: A Systematic Review.Pharmaceutics · 2023Review
- Recent progress in cryoablation cancer therapy and nanoparticles mediated cryoablation.Theranostics · 2022Review
- Characteristic CT Findings After Percutaneous Cryoablation Treatment of Malignant Lung Nodules.Medicine · 2015Observational
- Use of (18)F-FDG PET to predict tumor progression and survival in patients with intermediate hepatocellular carcinoma treated by transarterial chemoembolization.The Korean journal of internal medicine · 2015Article
- Evaluation of treatment response for breast cancer: are we entering the era of "biological complete remission"?Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2012Article
- Radiofrequency ablation of lung tumors: imaging features of the postablation zone.Radiographics : a review publication of the Radiological Society of North America, IncReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Positron emission tomography (PET) and single-photon emission tomography (SPET) are cross-sectional, quantitative functional imaging modalities in routine use in oncology for the initial staging of cancer, the assessment of patients with recurrent or residual disease and, more recently, for monitoring tumour response to therapy. Both PET and SPET can track tumour biological and metabolic changes caused by therapy or by disease progression, which usually precede the anatomical alterations conventionally detected by anatomical imaging methods. These highly sensitive functional imaging modalities have been used for the early assessment of subclinical tumour response, the evaluation of therapy after its completion and the detection of viable recurrent or relapsing tumour. Timely assessment of response to treatment using PET and SPET may result in modifications in treatment planning and individualisation of therapy and may have prognostic value for the long-term outcome. This review attempts to summarise the current data available on the expanding role of SPET and PET, using a variety of tracers, in monitoring tumour response to therapy in a wide range of malignancies, with emphasis on their clinical impact.
Indexed as
Identifiers
12811421What 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.