Evidence map›Paper›PMID 27888325›Full record

Trial reportEuropean journal of nuclear medicine and molecular imaging2017

Total lesion glycolysis (TLG) as an imaging biomarker in metastatic colorectal cancer patients treated with regorafenib.

Yoojoo Lim, Ji-In Bang, Sae-Won Han, Jin Chul Paeng, Kyung-Hun Lee, Jee Hyun Kim, Gyeong Hoon Kang, Seung-Yong Jeong, Kyu Joo Park, Tae-You Kim

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in European journal of nuclear medicine and molecular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Predictive value ofBMC cancer · 2025
    Article
  3. Review
  4. Influence of Semiquantitative [Pharmaceuticals (Basel, Switzerland) · 2022
    Article
  5. Article
  6. Frontiers in oncology · 2022
    Article
  7. Prognostic Value of Quantitative [Diagnostics (Basel, Switzerland) · 2021
    Article
  8. Radiomics Features ofCancers · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 3'-Deoxy-3'-European journal of nuclear medicine and molecular imaging · 2019
    Article
  14. Radiomics analysis of pre-treatment [European journal of nuclear medicine and molecular imaging · 2018
    Article
  15. EJNMMI research · 2018
    Article
  16. 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 at 3 institutions in 1 country.

Yoojoo LimDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehang-ro, Jongno-gu, Seoul, 03080, South Korea.
Ji-In BangDepartment of Nuclear Medicine, Seoul National University Hospital, 101 Daehang-ro, Jongno-gu, Seoul, 03080, South Korea.
Sae-Won HanDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehang-ro, Jongno-gu, Seoul, 03080, South Korea. saewon1@snu.ac.kr.
Jin Chul PaengDepartment of Nuclear Medicine, Seoul National University Hospital, 101 Daehang-ro, Jongno-gu, Seoul, 03080, South Korea. paengjc@snu.ac.kr.
Kyung-Hun LeeDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehang-ro, Jongno-gu, Seoul, 03080, South Korea.
Jee Hyun KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Geyonggi-do, South Korea.
Gyeong Hoon KangDepartment of Pathology, Seoul National University Hospital, Seoul, South Korea.
Seung-Yong JeongDepartment of Surgery, Seoul National University Hospital, Seoul, South Korea.
Kyu Joo ParkDepartment of Surgery, Seoul National University Hospital, Seoul, South Korea.
Tae-You KimDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehang-ro, Jongno-gu, Seoul, 03080, South Korea.
Seoul National University Hospital · KRSeoul National University · KRSeoul National University Bundang Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study was performed to evaluate whether fluorine-18 fluorodeoxyglucose positron-emission tomography/computed tomography (FDG PET/CT) could predict treatment outcome of regorafenib in metastatic colorectal cancer (mCRC).

methodsPreviously treated refractory mCRC patients were enrolled into a prospective biomarker study of regorafenib. For this sub-study, the results of FDG PET/CT scans at baseline and after two cycles of treatment were analyzed. Various metabolic parameters obtained from PET images were analyzed in relation to treatment outcome.

resultsA total of 40 patients were evaluable for PET image analysis. Among various PET parameters, total lesion glycolysis (TLG) measured in the same target lesions for RECIST 1.1 analysis were the most significant in predicting prognosis, with the lowest p-value observed in TLG calculated using the margin threshold of 40 % (TLG

conclusionMeasurement of TLG can predict treatment outcome of regorafenib in mCRC.

Indexed as

AdultAgedBiomarkers, TumorColorectal NeoplasmsFemaleFluorodeoxyglucose F18GlycolysisHumansMaleMiddle AgedNeoplasm MetastasisPhenylurea CompoundsPositron Emission Tomography Computed TomographyProspective StudiesPyridinesTreatment OutcomeBiomarkers, TumorFluorodeoxyglucose F18Phenylurea CompoundsPyridinesregorafenibBiomarkerFluorine-18 fluorodeoxyglucose positron-emission tomographyMetastatic colorectal cancerRegorafenib

Identifiers

PMID27888325
OpenAlexW2554748552

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.