Evidence map›Paper›PMID 36199129›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2022

Diagnostic value of apparent diffusion coefficient in predicting pathological T stage in patients with thymic epithelial tumor.

Chao-Chun Chang, Chia-Ying Lin, Li-Ting Huang, Ming-Tsung Chuang, Ying-Hung Lu, Wei-Li Huang, Ying-Yuan Chen, Wu-Wei Lai, Yau-Lin Tseng, Yi-Ting Yen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 1 institution in 1 country.

Chao-Chun ChangDivision of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medical College, National Cheng Kung University, Tainan, Taiwan.
Chia-Ying LinDepartment of Medical Imaging, National Cheng Kung University Hospital, College of Medical College, National Cheng Kung University, Tainan, Taiwan.
Li-Ting HuangDepartment of Medical Imaging, National Cheng Kung University Hospital, College of Medical College, National Cheng Kung University, Tainan, Taiwan.
Ming-Tsung ChuangDepartment of Medical Imaging, National Cheng Kung University Hospital, College of Medical College, National Cheng Kung University, Tainan, Taiwan.
Ying-Hung LuDepartment of Medical Imaging, National Cheng Kung University Hospital, College of Medical College, National Cheng Kung University, Tainan, Taiwan.
Wei-Li HuangDivision of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medical College, National Cheng Kung University, Tainan, Taiwan.
Ying-Yuan ChenDivision of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medical College, National Cheng Kung University, Tainan, Taiwan.
Wu-Wei LaiDivision of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medical College, National Cheng Kung University, Tainan, Taiwan.
Yau-Lin TsengDivision of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medical College, National Cheng Kung University, Tainan, Taiwan.
Yi-Ting YenDivision of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medical College, National Cheng Kung University, Tainan, Taiwan. b85401067@gmail.com.
National Cheng Kung University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposesThis study aimed to evaluate the diagnostic capacity of apparent diffusion coefficient (ADC) in predicting pathological Masaoka and T stages in patients with thymic epithelial tumors (TETs).

methodsMedical records of 62 patients who were diagnosed with TET and underwent diffusion-weighted imaging (DWI) prior to surgery between August 2017 and July 2021 were retrospectively analyzed. ADC values were calculated from DWI images using b values of 0, 400, and 800 s/mm

resultsPatients had a mean age of 56.3 years. Mean ADC values were negatively correlated with pathological Masaoka and T stages. Higher values of the area under the ROC curve suggested that mean ADC values more accurately predicated pathological T stages than pathological Masaoka stages. The optimal cut-off points of mean ADC were 1.62, 1.31, and 1.48 × 10

conclusionADC seems to more precisely predict pathological T stages, compared to pathological Masaoka stage. The cut-off values of ADC identified may be used to preoperatively predict pathological T stages of TETs.

Indexed as

Neoplasms, Glandular and EpithelialThymus NeoplasmsDiffusion Magnetic Resonance ImagingHumansMiddle AgedRetrospective StudiesROC CurveApparent diffusion coefficientDiffusion-weighted imagingPathological T stagingThymic epithelial tumor

Identifiers

PMID36199129
PMCPMC9533584
OpenAlexW4301401220

What OpenQuestion holds

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LicenceCC BY
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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.