Evidence map›Paper›PMID 22476585›Full record

ArticleDigestive diseases and sciences2012

Esophageal squamous cell carcinoma: assessing tumor angiogenesis using multi-slice CT perfusion imaging.

Tao Song, Yu-Guang Shen, Na-Na Jiao, Xin-Hui Li, Hong-Tao Hu, Jin-Rong Qu, Xue-Jun Chen, Wen Feng, Xun Zhang, Hai-Liang Li

Abstract read
PubMed Publisher
In one paragraph

Article in Digestive diseases and sciences, 2012. 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. Review
  3. 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.

Tao SongDepartment of Radiology, Henan Cancer Hospital, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, 450000 Henan, People's Republic of China. songtaokf@126.com
Yu-Guang Shen
Na-Na Jiao
Xin-Hui Li
Hong-Tao Hu
Jin-Rong Qu
Xue-Jun Chen
Wen Feng
Xun Zhang
Hai-Liang Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe purpose of this study was to investigate the correlation between multi-slice computed tomographic perfusion imaging (CTPI) parameters and immunohistologic markers of angiogenesis in esophageal squamous cell carcinoma (ESCC).

methodsFifty patients with histologically proven esophageal squamous cell carcinoma were enrolled in this study. All subjects underwent multi-slice CT perfusion scan. The hemodynamic parameters of vascular tumor, including blood volume (BV), blood flow (BF), mean transit time (MTT) and permeability surface (PS) were generated. All the ESCC specimens were stained immunohistochemically to identify CD31 for quantification of microvessel density (MVD). CTPI parameters were correlated with MVD by using Pearson correlation analysis.

resultsThe value of CT perfusion parameters of ESCC were as follows: BF 116.71 ± 47.59 ml/100 g/min, BV 6.74 ± 2.70 ml/100 g, MTT 6.42 ± 2.84 s, PS 13.82 ± 6.25 ml/100 g/min. The mean MVD of all 50 tumor specimens was 34.44 ± 19.75. The PS values were significantly higher in ESCC patients with involvement of lymph node than those without involvement of lymph node (p < 0.01). Blood volume and permeability surface were positively correlated with MVD (p < 0.01), whereas no significant correlation was observed between MVD and BF or between MVD and MTT.

conclusionsBlood volume and permeability surface were positively correlated with MVD. CTPI could reflect the angiogenesis in ESCC.

Indexed as

AdultAgedAged, 80 and overCarcinoma, Squamous CellContrast MediaEsophageal NeoplasmsFemaleHumansMaleMicrovesselsMiddle AgedNeovascularization, PathologicTomography, X-Ray ComputedTriiodobenzoic AcidsContrast MediaioversolTriiodobenzoic Acids

Identifiers

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.