Evidence map›Paper›PMID 25033396›Full record

ArticlePloS one2014

Combined PET imaging and diffusion-weighted imaging of intermediate and high-risk primary prostate carcinomas with simultaneous [18F] choline PET/MRI.

Axel Wetter, Felix Nensa, Marcus Schenck, Philipp Heusch, Thorsten Pöppel, Andreas Bockisch, Michael Forsting, Thomas W Schlosser, Thomas C Lauenstein, James Nagarajah

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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. Prospective head-to-head comparison ofEuropean journal of nuclear medicine and molecular imaging · 2017
    Trial
  3. Radiology · 2017
    Trial
  4. Article
  5. Review
  6. The Role of [Cancers · 2021
    Article
  7. Article
  8. Article
  9. Metabolic Volumetric Parameters inContrast media & molecular imaging · 2018
    Article
  10. Article
  11. Current Status of Hybrid PET/MRI in Oncologic Imaging.AJR. American journal of roentgenology · 2016
    Review
  12. Article
  13. 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.

Axel WetterDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Felix NensaDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Marcus SchenckDepartment of Urology and Paediatric Urology, University Hospital Essen, Essen, Germany.
Philipp HeuschUniversity Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, Dusseldorf, Germany.
Thorsten PöppelDepartment of Nuclear Medicine, University Hospital Essen, Essen, Germany.
Andreas BockischDepartment of Nuclear Medicine, University Hospital Essen, Essen, Germany.
Michael ForstingDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Thomas W SchlosserDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
Thomas C LauensteinDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
James NagarajahDepartment of Nuclear Medicine, University Hospital Essen, Essen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo characterize intermediate and high-risk prostate carcinomas with measurements of standardized uptake values (SUVs) and apparent diffusion coefficient (ADC) values by means of simultaneous [18F] choline PET/MRI. MATERIALS AND

methods35 patients with primary prostate cancer underwent simultaneous [18F] choline PET/MRI. From these, 21 patients with an intermediate and high risk constellation who were not under ongoing hormonal therapy were included. Altogether 32 tumor lesions with a focal uptake of [18F] choline could be identified. Average ADC values (ADCaver) minimum ADC values (ADCmin) as well as maximum and mean SUVs (SUVmax, SUVmean) of tumor lesions were assessed with volume-of-interest (VOI) and Region-of-interest (ROI) measurements. As a reference, also ADCaver, ADCmin and SUVmax and SUVmean of non-tumorous prostate tissue were measured. Statistical analysis comprised calculation of descriptive parameters and calculation of Pearson's product moment correlations between ADC values and SUVs of tumor lesions.

resultsMean ADCaver and ADCmin of tumor lesions were 0.94±0.22×10(-3) mm2/s and 0.65±0.21×10(-3) mm2/s, respectively. Mean SUVmax and SUVmean of tumor lesions were 6.3±2.3 and 2.6±0.8, respectively. These values were in each case significantly different from the reference values (p<0.001). There was no significant correlation between the measured SUVs and ADC values (SUVmax vs. ADCaver: R = -0.24, p = 0.179; SUVmax vs. ADCmin: R = -0.03, p = 0.877; SUVmean vs. ADCaver: R = -0.27, p = 0.136; SUVmean vs. ADCmin: R = -0.08, p = 0.679).

conclusionBoth SUVs and ADC values differ significantly between tumor lesions and healthy tissue. However, there is no significant correlation between these two parameters. This might be explained by the fact that SUVs and ADC values characterize different parts of tumor biology.

Indexed as

AgedAged, 80 and overBiopsyCholineDiagnostic ImagingDiffusion Magnetic Resonance ImagingHumansMaleMiddle AgedPositron-Emission TomographyProstateProstatic NeoplasmsRadiographyRadiopharmaceuticalsCholineRadiopharmaceuticals

Identifiers

PMID25033396
PMCPMC4102471

What OpenQuestion holds

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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.