Evidence map›Paper›PMID 31367534›Full record

ArticleTranslational lung cancer research2019

18F-fluorodeoxyglucose positron emission tomography/computed tomography in the diagnosis of benign pulmonary lesions in sarcoidosis.

Ming Zhao, Xiao-Feng Xin, Huan Hu, Xian-Hui Pan, Tang-Feng Lv, Hong-Bing Liu, Jian-Ya Zhang, Yong Song

Open access · diamondAbstract read
In one paragraph

Article in Translational lung cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. [The application of fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography in inflammation and infectious disease].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020
    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 at 2 institutions in 1 country.

Ming ZhaoDepartment of Respiratory Medicine, Jinling Hospital, Second Military Medical University, Nanjing 210002, China.
Xiao-Feng XinDepartment of Respiratory Medicine, Jinling Hospital, Second Military Medical University, Nanjing 210002, China.
Huan HuDepartment of Respiratory Medicine, Jinling Hospital, Second Military Medical University, Nanjing 210002, China.
Xian-Hui PanDepartment of Respiratory Medicine, Jinling Hospital, Second Military Medical University, Nanjing 210002, China.
Tang-Feng LvDepartment of Respiratory Medicine, Jinling Hospital, Second Military Medical University, Nanjing 210002, China.
Hong-Bing LiuDepartment of Respiratory Medicine, Jinling Hospital, Second Military Medical University, Nanjing 210002, China.
Jian-Ya ZhangDepartment of Respiratory Medicine, Jinling Hospital, Second Military Medical University, Nanjing 210002, China.
Yong SongDepartment of Respiratory Medicine, Jinling Hospital, Second Military Medical University, Nanjing 210002, China.
Nanjing General Hospital of Nanjing Military Command · CNSecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany benign pulmonary lesions, especially sarcoidosis, are metabolically active and are indistinguishable from lung cancer using 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) imaging. This study sought to analyze the 18F-FDG PET/CT imaging features of benign pulmonary lesions and to improve the differential diagnosis of benign pulmonary lesions by 18F-FDG PET/CT imaging.

methodsOne hundred and thirteen patients with benign pulmonary lesions were studied retrospectively. Each patient underwent an 18F-FDG PET/CT scan. All cases were identified by pathology, diagnostic therapy or follow-up. The maximum standardized uptake value (SUVmax) was calculated for each pulmonary lesion.

resultsAccording to the final results, the benign pulmonary lesions were classified as inflammatory lesions (n=77) and granulomas (n=36) by histopathological diagnoses. The SUVmax of inflammatory lesions and granulomas were both high (4.55±2.77 and 6.81±3.96, respectively; P<0.05). When the benign pulmonary lesions were classified by clinical diagnoses, the SUVmax of sarcoidosis was significantly different from other diseases (15.12±5.67; P<0.01).

conclusionsInflammatory lesions and granulomas show moderate or high FDG uptake on 18F-FDG PET/CT, but granulomas have higher values. 18F-FDG PET/CT appeared to have a higher SUVmax for the differential diagnosis of sarcoidosis and benign pulmonary lesions.

Indexed as

18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET)pulmonarystandardized uptake value (SUV)

Identifiers

PMID31367534
PMCPMC6626856
OpenAlexW2953754537

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.