Evidence map›Paper›PMID 34824598›Full record

ArticleComputational and mathematical methods in medicine2021

Medical Image Diagnostic Value of Computed Tomography for Bladder Tumors.

Lin Li, Risu Na, Tao Mi, Hao Cheng, Lili Ma, Guojun Chen

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 2 institutions in 1 country.

Lin LiGraduate School of the Affiliated Hospital of Qinghai University, Graduate School, Xining, Qinghai 810000, China.
Risu NaGraduate School of the Affiliated Hospital of Qinghai University, Graduate School, Xining, Qinghai 810000, China.
Tao MiGraduate School of the Affiliated Hospital of Qinghai University, Graduate School, Xining, Qinghai 810000, China.
Hao ChengGraduate School of the Affiliated Hospital of Qinghai University, Graduate School, Xining, Qinghai 810000, China.
Lili MaQinghai University, Xining, Qinghai 810000, China.ORCID https://orcid.org/0000-0001-6873-5001
Guojun ChenDepartment of Urology, Affiliated Hospital of Qinghai University, Xining, Qinghai 810000, China.ORCID https://orcid.org/0000-0002-4406-9136
Qinghai University Affiliated Hospital · CNQinghai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo study computed tomography (CT) imaging characteristics of bladder tumors, to explore the value of CT in tumor diagnosis, and to identify the relevant factors of CT missed diagnosis so that medical staff can be more accurate in the diagnosis of bladder tumors.

methodsTo retrospectively analyze the CT manifestations of 153 bladder tumor cases confirmed by paraffin pathology in our hospital and to study the difference between the benign and CT imaging features. CT indicators mainly include the number, location, morphology, calcification, bladder wall smoothness, CT value, degree of enhancement, and invasion of surrounding tissues and organs. Then, we retrospectively analyze 17 cases of CT missed diagnosis of bladder tumors, analyze related factors, and discuss the role of CT in the diagnosis of bladder tumors.

resultsThis study has shown that with the help of CT images, the diagnosis rate of bladder tumors has been greatly improved. Of the 153 patients studied, noninvasive urothelial carcinoma accounted for 18.95% of all benign and malignant bladder tumors, invasive urothelial carcinoma accounted for 67.93%, prostatic metastatic carcinoma and inflammatory myofibroblastoma accounted for 8.47%, pheochromocytoma accounted for 1.31%, inverted papilloma accounted for 1.31%, tubular choriocarcinoma accounted for 0.63%, and endocystitis accounted for 1.31%. In addition, the blood supply level, CT index bladder wall smoothness, and CT value are also statistically significant (

conclusionsCT is of high value in the diagnosis of bladder tumors, and benign and malignant bladder tumors have CT and CT imaging features. The size of bladder tumors is related to the missed diagnosis rate of CT. The application of CT examination technology can improve the accuracy of diagnosis of bladder tumors.

Indexed as

AdultAgedAged, 80 and overComputational BiologyFemaleHumansMaleMiddle AgedMissed DiagnosisParaffin EmbeddingRadiographic Image EnhancementTomography, X-Ray ComputedUrinary Bladder NeoplasmsYoung Adult

Identifiers

PMID34824598
PMCPMC8610659
OpenAlexW3212670238

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.