Evidence map›Paper›PMID 25759164›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2015

Usefulness of MRI-assisted metabolic volumetric parameters provided by simultaneous (18)F-fluorocholine PET/MRI for primary prostate cancer characterization.

Yong-Il Kim, Gi Jeong Cheon, Jin Chul Paeng, Jeong Yeon Cho, Cheol Kwak, Keon Wook Kang, June-Key Chung, Euishin Edmund Kim, Dong Soo Lee

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. PET/MRI in prostate cancer: a systematic review and meta-analysis.European journal of nuclear medicine and molecular imaging · 2021
    Pooled it
  2. Radiology · 2017
    Trial
  3. The Role of [Biomedicines · 2022
    Article
  4. Review
  5. KSNM60 in Clinical Nuclear Oncology.Nuclear medicine and molecular imaging · 2021
    Review
  6. Review
  7. Article
  8. The Role of [Cancers · 2021
    Article
  9. Value ofFrontiers in oncology · 2020
    Article
  10. Review
  11. Summary of the First ISMRM-SNMMI Workshop on PET/MRI: Applications and Limitations.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019
    Article
  12. Metabolic Volumetric Parameters inContrast media & molecular imaging · 2018
    Article
  13. Performance ofCurrent urology reports · 2017
    Review
  14. Review
  15. Article
  16. PET/MRI in Oncological Imaging: State of the Art.Diagnostics (Basel, Switzerland) · 2015
    Review
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

9 authors at 3 institutions in 3 countries.

Yong-Il KimDepartment of Nuclear Medicine, Seoul National University Hospital, Seoul, Korea.
Gi Jeong Cheon
Jin Chul Paeng
Jeong Yeon Cho
Cheol Kwak
Keon Wook Kang
June-Key Chung
Euishin Edmund Kim
Dong Soo Lee
Seoul National University Hospital · KRSeoul National University · KRNew Generation University College · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to determine the usefulness of MRI-assisted positron emission tomography (PET) parameters provided by simultaneous (18)F-fluorocholine (FCH) PET/MRI for characterization of primary prostate cancer.

methodsThirty patients with localized prostate cancer (mean age 69.4 ± 6.7 years) confirmed by biopsy were prospectively enrolled for simultaneous PET/MRI imaging. The patients underwent (18)F-FCH PET/MRI 1 week before undergoing total prostatectomy. Multiple parameters of diffusion-weighted MRI [minimum and mean apparent diffusion coefficient (ADCmin and ADCmean)], metabolic PET [maximum and mean standardized uptake value (SUVmax and SUVmean)], and metabolic volumetric PET [metabolic tumor volume (MTV) and uptake volume product (UVP)] were compared with laboratory, pathologic, and immunohistochemical (IHC) features of the prostate cancer specimen. PET parameters were divided into two categories as follows: volume of interest (VOI) of prostate by SUV cutoff 2.5 (SUVmax, SUVmean, MTVSUV, and UVPSUV) and MRI-assisted VOI of prostate cancer (SUVmaxMRI, SUVmeanMRI, MTVMRI, and UVPMRI).

resultsThe rates of prostate cancer-positive cases identified by MRI alone, (18)F-FCH PET alone, and (18)F-FCH PET/MRI were 83.3, 80.0, and 93.3%, respectively. Among the multiple PET/MRI parameters, MTVMRI showed fair correlation with serum prostate-specific antigen (PSA; r = 0.442, p = 0.014) and highest correlation with tumor volume (r = 0.953, p < 0.001). UVPMRI showed highest correlation with serum PSA (r = 0.531, p = 0.003), good correlation with tumor volume (r = 0.908, p < 0.001), and it was significantly associated with Gleason score (p = 0.041). High MTVMRI and UVPMRI values were significant for perineural invasion, lymphatic invasion, extracapsular extension, seminal vesicle invasion, and positive B-cell lymphoma 2 (Bcl-2) expression (all p < 0.05).

conclusionSimultaneous (18)F-FCH PET/MRI demonstrated a better diagnostic value for localized prostate cancer detection than each individual modality. MRI-assisted metabolic volumetric PET parameters (MTVMRI and UVPMRI) provided more accurate characterization of prostate cancer than conventional PET and MRI parameters.

Indexed as

Magnetic Resonance ImagingMultimodal ImagingPositron-Emission TomographyRadiopharmaceuticalsAgedAged, 80 and overCholineHumansMaleMiddle AgedProstatic NeoplasmsCholinefluorocholineRadiopharmaceuticals

Identifiers

PMID25759164
OpenAlexW1992086886

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.