| Title |
FDG-PET/CT at the end of immuno-chemotherapy in follicular lymphoma: the prognostic role of the ratio between target lesion and liver SUVmax (rPET)
|
|---|---|
| Published in |
Annals of Nuclear Medicine, February 2018
|
| DOI | 10.1007/s12149-018-1243-2 |
| Pubmed ID | |
| Authors |
Salvatore Annunziata, Annarosa Cuccaro, Maria Chiara Tisi, Stefan Hohaus, Vittoria Rufini |
| Abstract |
To retrospectively investigate the prognostic role of the ratio between target lesion and liver SUVmax (rPET) in patients with follicular lymphoma (FL) submitted to FDG-PET/CT at the end of immuno-chemotherapy (PI-PET), and to compare rPET with International Harmonization Project criteria (IHP), Deauville Score (5p-DS) and FL International Prognostic Index at diagnosis (FLIPI). Eighty-nine patients with FL undergoing PI-PET were evaluated. The receiver operating characteristic (ROC) approach was applied to identify the optimal cut-point of rPET with respect to 5-years progression free survival (PFS). The prognostic significance of rPET was compared with IHP, DS and FLIPI. Positive predictive value (PPV) and negative predictive value (NPV) were calculated using the presence of adverse events as gold standard. The ROC analysis for rPET as predictor of progression showed an optimal rPET cut-point of 0.98. Patients with positive values of IHP, DS and rPET had a PFS of 50, 30 and 31%. PPV were of 56, 80 and 80%, NPV of 83, 86 and 88%, respectively. DS and rPET differed only in two patients. FLIPI was not predictive of progression and relapse. rPET is a prognostic factor in patients with FL submitted to PI-PET. Although it has a similar prognostic power as DS, it can have methodological advantages over visual analysis. PI-PET with different evaluation systems has a stronger prognostic power than FLIPI at diagnosis, so it could be useful to identify patients with FL at risk for early relapse after immuno-chemotherapy. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 16% |
| Other | 2 | 11% |
| Student > Postgraduate | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Librarian | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 7 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 37% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Engineering | 1 | 5% |
| Unknown | 10 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 September 2018.
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#20,533,782
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Outputs of similar age from Annals of Nuclear Medicine
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