Evidence map›Paper›PMID 25112709›Full record

ArticleBMC cancer2014

Prognostic implication of intratumoral metabolic heterogeneity in invasive ductal carcinoma of the breast.

Seung Hyun Son, Do-Hoon Kim, Chae Moon Hong, Choon-Young Kim, Shin Young Jeong, Sang-Woo Lee, Jaetae Lee, Byeong-Cheol Ahn

Abstract read
In one paragraph

Article in BMC cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Joint EANM-SNMMI guideline on the role of 2-[European journal of nuclear medicine and molecular imaging · 2024
    Guideline
  2. Pooled it
  3. Trial
  4. Trial
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  6. Correlations ofQuantitative imaging in medicine and surgery · 2026
    Article
  7. The current role of nuclear medicine in breast cancer.The British journal of radiology · 2023
    Review
  8. Frontiers in oncology · 2023
    Article
  9. Article
  10. Review
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  12. Article
  13. Clinical value of baselineEuropean journal of hybrid imaging · 2021
    Article
  14. Article
  15. The Heterogeneity of Breast Cancer Metabolism.Advances in experimental medicine and biology · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Dual time pointBMC cancer · 2019
    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

8 authors.

Seung Hyun Son
Do-Hoon Kim
Chae Moon Hong
Choon-Young Kim
Shin Young Jeong
Sang-Woo Lee
Jaetae Lee
Byeong-Cheol AhnDepartment of Nuclear Medicine, Kyungpook National University School of Medicine and Hospital, 50 Samduk-dong 2-ga, Jung-gu, Daegu 700-721, Republic of Korea. abc2000@knu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to evaluate the prognostic implication of findings of intratumoral metabolic heterogeneity on pretreatment (18)F-FDG PET/CT scans in patients with invasive ductal carcinoma (IDC) of the breast.

methodsOne hundred and twenty-three female IDC patients who underwent pretreatment 18F-fluorodeoxyglucose positron-emission tomography/computed tomography ((18)F-FDG PET/CT) scans were retrospectively evaluated in this study. The heterogeneity factor (HF) defined as the derivative (dV/dT) of a volume threshold function from 40% to 80%, was computed for each primary tumor. Other metabolic PET parameters (maximum standardized uptake value [SUVmax], metabolic tumor volume [MTV], and total lesion glycolysis [TLG]) were measured. The HF was compared with clinicopathologic factors and other PET parameters. Univariate and multivariate analyses for the overall survival (OS) were performed.

resultsThe HF ranged from 0.02 to 6.72 (mean, 0.35 ± 0.82) and significantly correlated with MTV (r = 0.955; p < 0.0001) and TLG (r = 0.354; p = 0.0001). The HF was significantly higher (implying more heterogeneity) in tumors with higher T and N stages. The optimal cut-off values for the OS determined using a receiver operating characteristic (ROC) curve were 0.34 for the HF, 5.6 for SUVmax, 8.55 cm(3) for MTV, and 14.43 for TLG. The OS rate among the 123 patients was 86.2%. T stage (1, 2 vs. 3, 4), N stage (0, 1 vs. 2, 3), M stage (0 vs. 1), ER status (+ vs. -), SUVmax (≤ 5.6 vs. > 5.6), MTV (≤ 8.55 cm(3) vs. > 8.55 cm(3)), TLG (≤ 14.43 vs. > 14.43), and HF (< 0.34 vs. ≥ 0.34) affected the OS on univariate analysis. After adjustment for the effects of TNM stage and ER status, the HF and MTV were significant predictors of OS. Among the PET parameters, the best prognostic factor for OS was the HF.

conclusionsIntratumoral metabolic heterogeneity correlated closely with the MTV and significantly affected the OS in IDC patients. The HF may act as a robust surrogate marker for the prediction of OS in IDC patients.

Indexed as

Breast NeoplasmsCarcinoma, Ductal, BreastFemaleFluorodeoxyglucose F18HumansMultimodal ImagingPositron-Emission TomographyPrognosisRadiopharmaceuticalsRetrospective StudiesSurvival RateTomography, X-Ray ComputedFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID25112709
PMCPMC4148559

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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.