Evidence map›Paper›PMID 36276079›Full record

ReviewFrontiers in oncology2022

Recent and current advances in PET/CT imaging in the field of predicting epidermal growth factor receptor mutations in non-small cell lung cancer.

Na Hu, Gang Yan, Yuhui Wu, Li Wang, Yang Wang, Yining Xiang, Pinggui Lei, Peng Luo

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. 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
–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

3 citing papers in PubMed.

  1. Article
  2. OptimalFrontiers in oncology · 2023
    Article
  3. 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

8 authors.

Na HuDepartment of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Gang YanDepartment of Nuclear Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Yuhui WuDepartment of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Li WangSchool of Nursing, Guizhou Medical University, Guiyang, China.
Yang WangDepartment of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Yining XiangDepartment of Pathology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Pinggui LeiDepartment of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Peng LuoSchool of Public Health, Guizhou Medical University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tyrosine kinase inhibitors (TKIs) are a significant treatment strategy for the management of non-small cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) mutation status. Currently, EGFR mutation status is established based on tumor tissue acquired by biopsy or resection, so there is a compelling need to develop non-invasive, rapid, and accurate gene mutation detection methods. Non-invasive molecular imaging, such as positron emission tomography/computed tomography (PET/CT), has been widely applied to obtain the tumor molecular and genomic features for NSCLC treatment. Recent studies have shown that PET/CT can precisely quantify EGFR mutation status in NSCLC patients for precision therapy. This review article discusses PET/CT advances in predicting EGFR mutation status in NSCLC and their clinical usefulness.

Indexed as

epidermal growth factor receptornon-small cell lung cancerPET/CTprediction modelradiogenomics

Identifiers

PMID36276079
PMCPMC9582655

What OpenQuestion holds

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Registered trials

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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.