Evidence map›Paper›PMID 24652233›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2014

Early response monitoring to neoadjuvant chemotherapy in osteosarcoma using sequential ¹⁸F-FDG PET/CT and MRI.

Byung Hyun Byun, Chang-Bae Kong, Ilhan Lim, Byung Il Kim, Chang Woon Choi, Won Seok Song, Wan Hyeong Cho, Dae-Geun Jeon, Jae-Soo Koh, Soo-Yong Lee and 1 more

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
–field-weighted citation impact, top 99% 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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 0 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. [Positron emission tomography in sarcomas].Radiologie (Heidelberg, Germany) · 2026
    Review
  4. Article
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  7. Article
  8. Article
  9. Clinical Perspectives forMetabolites · 2022
    Review
  10. Review
  11. Article
  12. KSNM60 in Clinical Nuclear Oncology.Nuclear medicine and molecular imaging · 2021
    Review
  13. Article
  14. Metabolic response as assessed byCancer medicine · 2021
    Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. A Delta-radiomics model for preoperative evaluation of Neoadjuvant chemotherapy response in high-grade osteosarcoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2020
    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

11 authors at 1 institution in 1 country.

Byung Hyun ByunDepartments of Nuclear Medicine, Korea Institute of Radiological and Medical Sciences (KIRAMS), Seoul, Republic of Korea.
Chang-Bae Kong
Ilhan Lim
Byung Il Kim
Chang Woon Choi
Won Seok Song
Wan Hyeong Cho
Dae-Geun Jeon
Jae-Soo Koh
Soo-Yong Lee
Sang Moo Lim
Korea Institute of Radiological and Medical Sciences · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe evaluated the potential of sequential fluorine-18 fluorodeoxyglucose ((18) F-FDG) positron emission tomography (PET)/computed tomography (CT) and MRI (PET/MRI) after one cycle of neoadjuvant chemotherapy to predict a poor histologic response in osteosarcoma.

methodsA prospective study was conducted on 30 patients with osteosarcoma treated with two cycles of neoadjuvant chemotherapy and surgery. All patients underwent PET/MRI before, after one cycle, and after the completion of neoadjuvant chemotherapy, respectively. Imaging parameters [maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and tumor volume based on magnetic resonance (MR) images (MRV)] and their % changes were calculated on each PET/MRI data set, and histological responses were evaluated on the postsurgical specimen.

resultsA total of 17 patients (57%) exhibited a poor histologic response after two cycles of chemotherapy. Unlike the little volumetric change in MRI, PET parameters significantly decreased after one and two cycles of chemotherapy, respectively. After one cycle of chemotherapy, SUVmax, MTV, and TLG predicted the poor responders. Among these parameters, either MTV ≥ 47 mL or TLG ≥ 190 g after one cycle of chemotherapy was significantly associated with a poor histologic response on multivariate logistic regression analysis (OR 8.98, p = 0.039). The sensitivity, specificity, and accuracy of these parameters were 71%, 85% and 77%; and 71%, 85% and 77 %, respectively.

conclusionThe histologic response to neoadjuvant chemotherapy in osteosarcoma can be predicted accurately by FDG PET after one course of chemotherapy. Among PET parameters, MTV and TLG were independent predictors of the histologic response.

Indexed as

Magnetic Resonance ImagingMultimodal ImagingNeoadjuvant TherapyPositron-Emission TomographyTomography, X-Ray ComputedAdolescentBone NeoplasmsFemaleFluorodeoxyglucose F18HumansMaleOsteosarcomaPredictive Value of TestsRadiopharmaceuticalsTreatment OutcomeYoung AdultFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID24652233
OpenAlexW254994382

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.