Evidence map›Paper›PMID 31234424›Full record

ArticleCancers2019

Automated Definition of Skeletal Disease Burden in Metastatic Prostate Carcinoma: A 3D Analysis of SPECT/CT Images.

Francesco Fiz, Helmut Dittmann, Cristina Campi, Matthias Weissinger, Samine Sahbai, Matthias Reimold, Arnulf Stenzl, Michele Piana, Gianmario Sambuceti, Christian la Fougère

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 91% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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 3 countries.

Francesco FizDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tübingen, 72076 Tübingen, Germany. Francesco.Fiz@med.uni-tuebingen.de.
Helmut DittmannDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tübingen, 72076 Tübingen, Germany. helmut.dittmann@med.uni-tuebingen.de.
Cristina CampiDepartment of Medicine-DIMED, Nuclear Medicine Unit, University Hospital of Padua, 35128 Padua, Italy. cristina.campi@gmail.com.
Matthias WeissingerDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tübingen, 72076 Tübingen, Germany. matthias.weissinger@med.uni-tuebingen.de.
Samine SahbaiNuclear Medicine Unit, Hospital Universitaire Henri Mondor, 94010 Créteil, France. sam.sahbai@gmail.com.
Matthias ReimoldDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tübingen, 72076 Tübingen, Germany. Matthias.Reimold@med.uni-tuebingen.de.
Arnulf StenzlDepartment of Urology, University Hospital Tübingen, 72076 Tübingen, Germany. urologie@med.uni-tuebingen.de.
Michele PianaDepartment of Mathematics, University of Genoa, 16146 Genoa, Italy. piana@dima.unige.it.
Gianmario SambucetiDepartment of Health Sciences, Nuclear Medicine Unit, University of Genoa, 16146 Genoa, Italy. sambuceti@unige.it.
Christian la FougèreDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tübingen, 72076 Tübingen, Germany. christian.lafougere@med.uni-tuebingen.de.
University of Genoa · ITHôpitaux Universitaires Henri-Mondor · FRUniversity Children's Hospital Tübingen · DEUniversity of Padua · ITUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To meet the current need for skeletal tumor-load estimation in castration-resistant prostate cancer (CRPC), we developed a novel approach based on adaptive bone segmentation. In this study, we compared the program output with existing estimates and with the radiological outcome. Seventy-six whole-body single-photon emission computed tomographies/x-ray computed tomography with 3,3-diphosphono-1,2-propanedicarboxylic acid from mCRPC patients were analyzed. The software identified the whole skeletal volume (S

Indexed as

Computer-assisted diagnosismCRPCSPECT/CTTherapy response assessmentXOFIGO

Identifiers

PMID31234424
PMCPMC6627119
OpenAlexW2949959320

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.