Evidence map›Paper›PMID 31956527›Full record

ArticleQuantitative imaging in medicine and surgery2020

Prostate cancer evaluation using PET quantification in

Liran Domachevsky, Natalia Goldberg, Miguel Gorenberg, Hanna Bernstine, David Groshar, Onofrio A Catalano

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. PET/MRI in prostate cancer: a systematic review and meta-analysis.European journal of nuclear medicine and molecular imaging · 2021
    Pooled it
  2. Article
  3. Efficacy ofQuantitative imaging in medicine and surgery · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Attenuation correction for human PET/MRI studies.Physics in medicine and biology · 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

6 authors.

Liran DomachevskyDepartment of Nuclear Medicine, Assuta Medical Centers, Tel Aviv 6971028, Israel.
Natalia GoldbergDepartment of Nuclear Medicine, Assuta Medical Centers, Tel Aviv 6971028, Israel.
Miguel GorenbergDepartment of Nuclear Medicine, Bnai Zion Medical Center and Faculty of Medicine, The Technion-Israel Institute of Technology, Haifa 3339419, Israel.
Hanna BernstineDepartment of Nuclear Medicine, Assuta Medical Centers, Tel Aviv 6971028, Israel.
David GrosharDepartment of Nuclear Medicine, Assuta Medical Centers, Tel Aviv 6971028, Israel.
Onofrio A CatalanoAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTissues with low magnetic resonance (MR) signals, such as bones and lungs differ considerably in their attenuation properties, requiring special considerations for attenuation correction. We evaluated the impact of using the five-compartment segmentation model, which incorporates bones, in

methodsProstate cancer patients underwent dedicated prostate

resultsTwenty-six patients (mean age 69.4±9.3 years) were included in the study. Twenty-five patients presented for prostate cancer staging and one patient was evaluated for recurrent disease. There was a statistically significant difference between SUVs of the gluteus, sacrum, prostatic lesions and normal prostate tissue measured by the four-compartment

conclusions

Indexed as

Bonespositron emission tomography computed tomography (PET CT)prostatic neoplasms

Identifiers

PMID31956527
PMCPMC6960422

What OpenQuestion holds

Textmetadata
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.