Evidence map›Paper›PMID 37460834›Full record

ArticleEJNMMI research2023

Early prediction of treatment outcome for lenvatinib using

Satoshi Takeuchi, Kenji Hirata, Keiichi Magota, Shiro Watanabe, Rika Moku, Akihiko Shiiya, Jun Taguchi, Shin Ariga, Tomohiro Goda, Yoshihito Ohhara and 7 more

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. Review
  3. Role of [Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    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

17 authors at 4 institutions in 1 country.

Satoshi TakeuchiDepartment of Medical Oncology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan. stakeuch@med.hokudai.ac.jp.ORCID http://orcid.org/0000-0003-4847-6609
Kenji HirataDepartment of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Keiichi MagotaDivision of Medical Imaging and Technology, Hokkaido University Hospital, Sapporo, Japan.
Shiro WatanabeDepartment of Nuclear Medicine, Hokkaido University Hospital, Sapporo, Japan.
Rika MokuDepartment of Medical Oncology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Akihiko ShiiyaDepartment of Medical Oncology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Jun TaguchiDepartment of Medical Oncology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Shin ArigaDepartment of Medical Oncology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Tomohiro GodaDepartment of Medical Oncology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Yoshihito OhharaDepartment of Medical Oncology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Takurou NoguchiDepartment of Medical Oncology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Yasushi ShimizuDepartment of Medical Oncology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Ichiro KinoshitaDepartment of Medical Oncology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Rio HonmaDepartment of Medical Oncology, Tonan Hospital, Sapporo, Japan.
Yasushi TsujiDepartment of Medical Oncology, Tonan Hospital, Sapporo, Japan.
Akihiro HommaDepartment of Otolaryngology-Head and Neck Surgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Hirotoshi Dosaka-AkitaDepartment of Medical Oncology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Sapporo Medical University · JPHokkaido University · JPHokkaido University Hospital · JPTonan Hospital · JP

Funding

Pfizer Health Research Foundation 28-22
6 · The paper itself

Abstract

backgroundLenvatinib is widely used to treat unresectable and advanced thyroid carcinomas. We aimed to determine whether

resultsThis was a prospective, nonrandomised, multicentre study. Patients with pathologically confirmed differentiated thyroid carcinoma (DTC) and lesions refractory to radioiodine treatment were eligible for inclusion. Patients were treated with 24 mg lenvatinib as the initial dose and underwent PET/CT examination 1 week after treatment initiation. Contrast-enhanced CT was scheduled at least 4 weeks later as the gold standard for evaluation. The primary endpoint was to evaluate the discrimination power of maximum standardised uptake value (SUVmax) obtained by PET/CT compared to that obtained by contrast-enhanced CT. Evaluation was performed using the area under the receiver operating characteristic (ROC-AUC) curve. Twenty-one patients were included in this analysis. Receiver operating characteristic (ROC) curve analysis yielded an AUC of 0.714 for SUVmax after 1 week of lenvatinib treatment. The best cut-off value for the treatment response for SUVmax was 15.211. The sensitivity and specificity of this cut-off value were 0.583 and 0.857, respectively. The median progression-free survival was 26.3 months in patients with an under-cut-off value and 19.7 months in patients with an over-cut-off value (P = 0.078).

conclusionsThe therapeutic effects of lenvatinib were detected earlier than those of CT because of decreased FDG uptake on PET/CT. PET/CT examination 1 week after the initiation of lenvatinib treatment may predict treatment outcomes in patients with DTC.

trial registrationThis trial was registered in the University Hospital Medical Information Network (UMIN) Clinical Trials Registry (number UMIN000022592) on 6 June, 2016.

Indexed as

18F-FDG PET/CTDifferentiated thyroid carcinomaEarly predictionLenvatinibTreatment outcome

Identifiers

PMID37460834
PMCPMC10352209
OpenAlexW4384522165

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.