Evidence map›Paper›PMID 36765907›Full record

ReviewCancers2023

State of the Art MR Imaging for Lung Cancer TNM Stage Evaluation.

Yoshiharu Ohno, Yoshiyuki Ozawa, Hisanobu Koyama, Takeshi Yoshikawa, Daisuke Takenaka, Hiroyuki Nagata, Takahiro Ueda, Hirotaka Ikeda, Hiroshi Toyama

Abstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Lung Cancer Staging: Imaging and Potential Pitfalls.Diagnostics (Basel, Switzerland) · 2023
    Review
  12. Article
  13. 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

9 authors.

Yoshiharu OhnoDepartment of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Japan.ORCID 0000-0002-4431-1084
Yoshiyuki OzawaDepartment of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Japan.
Hisanobu KoyamaDepartment of Radiology, Osaka Police Hospital, Osaka 543-0035, Japan.
Takeshi YoshikawaDepartment of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Japan.ORCID 0000-0001-5560-5371
Daisuke TakenakaDepartment of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Japan.
Hiroyuki NagataJoint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake 470-1192, Japan.
Takahiro UedaDepartment of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Japan.
Hirotaka IkedaDepartment of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Japan.
Hiroshi ToyamaDepartment of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Japan.

Funding

Canon Medical Systems Corporation N/A
6 · The paper itself

Abstract

Since the Radiology Diagnostic Oncology Group (RDOG) report had been published in 1991, magnetic resonance (MR) imaging had limited clinical availability for thoracic malignancy, as well as pulmonary diseases. However, technical advancements in MR systems, such as sequence and reconstruction methods, and adjustments in the clinical protocol for gadolinium contrast media administration have provided fruitful results and validated the utility of MR imaging (MRI) for lung cancer evaluations. These techniques include: (1) contrast-enhanced MR angiography for T-factor evaluation, (2) short-time inversion recovery turbo spin-echo sequences as well as diffusion-weighted imaging (DWI) for N-factor assessment, and (3) whole-body MRI with and without DWI and with positron emission tomography fused with MRI for M-factor or TNM stage evaluation as well as for postoperative recurrence assessment of lung cancer or other thoracic tumors using 1.5 tesla (T) or 3T systems. According to these fruitful results, the Fleischner Society has changed its position to approve of MRI for lung or thoracic diseases. The purpose of this review is to analyze recent advances in lung MRI with a particular focus on lung cancer evaluation, clinical staging, and recurrence assessment evaluation.

Indexed as

lunglung cancerMRIPET/MRITNM staging

Identifiers

PMID36765907
PMCPMC9913625

What OpenQuestion holds

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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.