Evidence map›Paper›PMID 26164183›Full record

ArticleClinical nuclear medicine2015

Preoperative evaluation of renal cell carcinoma by using 18F-FDG PET/CT.

Miwako Takahashi, Haruki Kume, Keitaro Koyama, Tohru Nakagawa, Tetsuya Fujimura, Teppei Morikawa, Masashi Fukayama, Yukio Homma, Kuni Ohtomo, Toshimitsu Momose

Abstract read
In one paragraph

Article in Clinical nuclear medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
–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

45 citing papers in PubMed.

  1. Trial
  2. Renal Medullary Carcinoma: Utility of [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  3. Review
  4. Article
  5. Head-to-head comparison ofEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  6. Review
  7. Role ofJapanese journal of radiology · 2025
    Review
  8. Diagnostic and prognostic role ofEJNMMI research · 2025
    Article
  9. Review
  10. Review
  11. BMC medical imaging · 2024
    Article
  12. Article
  13. Article
  14. The role of [European journal of nuclear medicine and molecular imaging · 2024
    Article
  15. Head-to-head comparison of [European journal of nuclear medicine and molecular imaging · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Prognostic Significance ofMolecular imaging and radionuclide therapy · 2022
    Article
  20. 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.

Miwako TakahashiFrom the *Division of Nuclear Medicine, Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan, †Department of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan, and ‡Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Haruki Kume
Keitaro Koyama
Tohru Nakagawa
Tetsuya Fujimura
Teppei Morikawa
Masashi Fukayama
Yukio Homma
Kuni Ohtomo
Toshimitsu Momose

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to characterize the FDG uptake of renal cell carcinoma (RCC) by the pathological subtype and nuclear grade. PATIENTS AND

methodsWe retrospectively identified patients who underwent F-FDG PET and subsequent partial or radical nephrectomy for renal tumors. The relationships of the SUV of renal tumor with subtypes, nuclear grade, and clinicopathological variables were investigated.

resultsNinety-two tumors were analyzed, including 52 low-grade (G1 and G2) and 18 high-grade (G3 and G4) clear cell RCC; 7 chromophobe, 5 papillary, and 1 unclassified RCC; and 9 benign tumors (7 angiomyolipoma and 2 oncocytoma). The SUVs of high-grade clear cell RCC (mean ± SD, 6.8 ± 5.1) and papillary RCC (6.6 ± 3.7) were significantly higher than that of the controls (2.2 ± 0.3). The SUV of high-grade clear cell RCC was higher than that of low-grade tumors (median, 4.0 vs. 2.2; P < 0.001). The optimal SUV cutoff value of 3.0 helped to differentiate high-grade from low-grade clear cell RCC, with 89% sensitivity and 87% specificity. On multiple regression analysis, a high grade was the most significant predictor of SUV for clear cell RCC.

conclusionsFDG uptake higher than that observed in normal kidney tissues suggests a high-grade clear cell RCC or papillary RCC subtype. FDG-PET using SUV may have a role in prediction of pathological grade of renal tumor.

Indexed as

Multimodal ImagingPositron-Emission TomographyTomography, X-Ray ComputedAdenoma, OxyphilicAdultAgedAged, 80 and overAngiomyolipomaCarcinoma, Renal CellFemaleFluorodeoxyglucose F18HumansKidney NeoplasmsMaleMiddle AgedRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID26164183
PMCPMC4890815

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.