Evidence map›Paper›PMID 21953008›Full record

Trial reportEuropean journal of nuclear medicine and molecular imaging2012

Prediction of tumour necrosis fractions using metabolic and volumetric 18F-FDG PET/CT indices, after one course and at the completion of neoadjuvant chemotherapy, in children and young adults with osteosarcoma.

Hyung Jun Im, Tae Sung Kim, Seog-Yun Park, Hye Sook Min, June Hyuk Kim, Hyun Guy Kang, Seung Eun Park, Mi Mi Kwon, Jong Hyung Yoon, Hyeon Jin Park and 2 more

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in European journal of nuclear medicine and molecular imaging, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
5.5field-weighted citation impact, top 4% 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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 126 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2018
    Trial
  4. Prediction of Response to Immune Checkpoint Inhibitor Therapy Using Early-Time-PointJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2017
    Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Nuclear medicine and molecular imaging · 2025
    Article
  10. Review
  11. Article
  12. Review
  13. Annals of nuclear medicine · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Clinical Perspectives forMetabolites · 2022
    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

12 authors at 1 institution in 1 country.

Hyung Jun ImDepartment of Nuclear Medicine, National Cancer Center, Goyang-si, Gyeonggi-do, Korea.
Tae Sung Kim
Seog-Yun Park
Hye Sook Min
June Hyuk Kim
Hyun Guy Kang
Seung Eun Park
Mi Mi Kwon
Jong Hyung Yoon
Hyeon Jin Park
Seok-ki Kim
Byung-Kiu Park
National Cancer Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe utility of combined metabolic and volumetric (18)F-FDG PET/CT indices for predicting tumour necrosis fractions following neoadjuvant chemotherapy has not been extensively studied in osteosarcoma. Furthermore, little is known of the early PET/CT responses after only one chemotherapy course.

methodsEnrolled in the study were 20 children and young adults with resectable osteosarcoma who had undergone (18)F-FDG PET/CT scans before and after neoadjuvant chemotherapy. Maximum standardized uptake value (mSUV), metabolic tumour volume (MTV), and total lesion glycolysis (TLG) were measured. From among the 20 patients, 14 were prospectively recruited and underwent an additional PET/CT scan after one chemotherapy course. Histopathological necrosis fractions were compared with the above-mentioned PET/CT indices and their ratios.

resultsMTV at the SUV threshold of 2 g/ml was closely correlated with the magnetic resonance image volumes before therapy (r = 0.91). In the prospective cohort, five patients were classified as good responders and nine as poor responders. All the metabolic indices (mSUV and its ratio) and combined metabolic/volumetric indices (MTV, TLG, and their ratios) except the mSUV ratio determined after therapy showed significant differences between good and poor responders (P <0.05). Differences were also noted for all of these indices determined after one chemotherapy course. Furthermore, most of these indices determined after therapy as well as after one chemotherapy course had good sensitivity, specificity, positive predictive value and negative predictive value with respect to predicting histological response to chemotherapy.

conclusionIn our osteosarcoma patient population, (18)F-FDG PET/CT indices (either combined metabolic/volumetric or metabolic indices) determined after neoadjuvant chemotherapy were useful in predicting tumour responses. This held true after only one chemotherapy course.

Indexed as

Fluorodeoxyglucose F18Multimodal ImagingNeoadjuvant TherapyPositron-Emission TomographyTomography, X-Ray ComputedAdolescentAdultBone NeoplasmsChildCohort StudiesFemaleGene Expression Regulation, NeoplasticGlucose Transporter Type 1Glucose Transporter Type 3GlycolysisHumansFluorodeoxyglucose F18Glucose Transporter Type 1Glucose Transporter Type 3

Identifiers

PMID21953008
OpenAlexW2005559502

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.