Evidence map›Paper›PMID 30159686›Full record

ArticleEJNMMI research2018

The kinetics of

Erica Silvestri, Valentina Scolozzi, Gaia Rizzo, Luca Indovina, Marco Castellaro, Maria Vittoria Mattoli, Paolo Graziano, Giuseppe Cardillo, Alessandra Bertoldo, Maria Lucia Calcagni

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Abbreviated dynamic total-body [Quantitative imaging in medicine and surgery · 2025
    Article
  3. Article
  4. EJNMMI research · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Erica SilvestriDepartment of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy.
Valentina ScolozziDepartment of Diagnostic Imaging, Radiation Oncology and Haematology, Institute of Nuclear Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS - Università Cattolica del Sacro Cuore, Roma, Italy.
Gaia RizzoDepartment of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy.
Luca IndovinaMedical Physics Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy.
Marco CastellaroDepartment of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy.
Maria Vittoria MattoliDepartment of Diagnostic Imaging, Radiation Oncology and Haematology, Institute of Nuclear Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS - Università Cattolica del Sacro Cuore, Roma, Italy.
Paolo GrazianoUnit of Pathology, Scientific Institute for Research and Health Care "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy.
Giuseppe CardilloUnit of Thoracic Surgery, San Camillo Forlanini Hospital, Rome, Italy.
Alessandra BertoldoDepartment of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy. alessandra.bertoldo@unipd.it.
Maria Lucia CalcagniDepartment of Diagnostic Imaging, Radiation Oncology and Haematology, Institute of Nuclear Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS - Università Cattolica del Sacro Cuore, Roma, Italy.
University of Padua · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITUniversità Cattolica del Sacro Cuore · ITCarlo Forlanini Hospital · ITCasa Sollievo della Sofferenza · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe validation of the most appropriate compartmental model that describes the kinetics of a specific tracer within a specific tissue is mandatory before estimating quantitative parameters, since the behaviour of a tracer can be different among organs and diseases, as well as between primary tumours and metastases. The aims of our study were to assess which compartmental model better describes the kinetics of

resultsTwenty-one patients (7 females; 71 ± 9.4 years) with histologically proved lung cancer, prospectively evaluated, underwent

conclusionsOne-tissue reversible plus one-tissue irreversible compartmental model better describes the kinetics of

Identifiers

PMID30159686
PMCPMC6115323
OpenAlexW2889093489

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.