Evidence map›Paper›PMID 29391910›Full record

ArticleNuclear medicine and molecular imaging2018

Prognostic Value of Pre- and Post-Treatment FDG PET/CT Parameters in Small Cell Lung Cancer Patients.

Hyoungwoo Kim, Ie Ryung Yoo, Sun Ha Boo, Hye Lim Park, Joo Hyun O, Sung Hoon Kim

Abstract read
In one paragraph

Article in Nuclear medicine and molecular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2019
    Trial
  2. Review
  3. Article
  4. Article
  5. Review
  6. The Use ofDiagnostics (Basel, Switzerland) · 2022
    Article
  7. Review
  8. ComprehensiveFrontiers in immunology · 2022
    Article
  9. Article
  10. Prognostic Value ofDiagnostics (Basel, Switzerland) · 2021
    Review
  11. Primary tumor standardized uptake value (SUVmax) measured onJournal of cancer research and clinical oncology · 2020
    Article
  12. Recent advances of PET imaging in clinical radiation oncology.Radiation oncology (London, England) · 2020
    Review
  13. Prognostic value ofThe Journal of international medical research · 2020
    Article
  14. Article
  15. European journal of hybrid imaging · 2020
    Article
  16. Article
  17. Inverse Prognostic Relationships ofNuclear medicine and molecular imaging · 2018
    Article
  18. 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

6 authors.

Hyoungwoo KimDivision of Nuclear Medicine, Department of Radiology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591 Republic of Korea.
Ie Ryung YooDivision of Nuclear Medicine, Department of Radiology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591 Republic of Korea.
Sun Ha BooDivision of Nuclear Medicine, Department of Radiology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591 Republic of Korea.
Hye Lim ParkDivision of Nuclear Medicine, Department of Radiology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591 Republic of Korea.
Joo Hyun ODivision of Nuclear Medicine, Department of Radiology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591 Republic of Korea.
Sung Hoon KimDivision of Nuclear Medicine, Department of Radiology, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, 222, Banpo-daero, Seocho-gu, Seoul, 06591 Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the prognostic value of PET parameters obtained from pre- and post-treatment FDG PET/CT examinations in patients with SCLC.

methodsFifty-nine patients with initially diagnosed SCLC from 2009 to 2014 were included and had chemotherapy and/or concurrent chemoradiotherapy. FDG PET/CT examinations were performed before (PET1) and after (PET2) treatment to evaluate treatment response. A region of interest was placed over the primary lesion and metastatic lymph nodes within the thoracic cavity. PET parameters including change from PET1 to PET2 (Δ in %) were acquired: SUVmax, SUVpeak, MTV2.5, TLG, ΔSUVmax, ΔSUVpeak, ΔMTV and ΔTLG. Patient characteristics including staging, age, sex, LDH and response evaluation by RECIST were surveyed. Statistical analysis was done using Kaplan-Meier method and Cox regression analysis with respect to OS and PFS.

resultsThe median follow-up was 9.6 months (2.5-80.5 months). 27 patients were LD and 32 were ED. Forty-six patients (78.0%) had died, and median OS was 8.6 months; 51 patients (86%) showed disease progression, and median PFS was 2.5 months. On univariate analysis, patients with ED, high interval change (ΔSUVmax and ΔSUVpeak) and low PET2 parameters showed longer OS and PFS. Multivariate analyses demonstrated that ΔSUVpeak (HR 2.6,

conclusionsMetabolic and volumetric PET parameters obtained from pre- and post-treatment FDG PET/CT examinations in patients with SCLC have significant prognostic information.

Indexed as

FDG PET/CTPrognosisSmall-cell lung cancerSUVpeakTreatment response

Identifiers

PMID29391910
PMCPMC5777958

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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.