Evidence map›Paper›PMID 39290687›Full record

ArticleJournal of healthcare engineering2022

Consistency Analysis of CTLM Imaging and Mammography in the Diagnosis of Breast Tumor Lesions.

Zhangjun Song, Huxia Wang, Xiaorui Feng, Xiaomin Yang, Pihua Han, Jing Zhao

RetractedAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

  • Retraction · 2023-09-27Computer-Aided Content or Computer-Generated Content · Concerns/Issues about Data · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Peer Review · Informed/Patient Consent - None/Withdrawn · Investigation by Journal/Publisher · Investigation by Third Party · Lack of IRB/IACUC Approval and/or Compliance · Paper Mill · Unreliable Results and/or Conclusions · · See also: https://pubpeer.com/publications/27EFBDA926079B81EA9ABC9B7B11A2
  • Retracted
5 · Who and what money

Authors and funding

6 authors.

Zhangjun SongDepartment of Oncology, Shaanxi Provincial People's Hospital, Xi'an 710068, China.ORCID https://orcid.org/0000-0002-4034-7610
Huxia WangDepartment of Breast, Shaanxi Provincial Cancer Hospital, Xi'an 710061, China.
Xiaorui FengDepartment of Radiation Oncology, Xi'an High-tech Hospital, Xi'an 710000, China.
Xiaomin YangDepartment of Breast, Shaanxi Provincial Cancer Hospital, Xi'an 710061, China.
Pihua HanDepartment of Breast, Shaanxi Provincial Cancer Hospital, Xi'an 710061, China.
Jing ZhaoDepartment of Breast, Shaanxi Provincial Cancer Hospital, Xi'an 710061, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the consistency of preoperative CTLM imaging in the diagnosis of breast cancer lesions and postoperative pathological examination.

methodsThe clinical data of 225 patients with breast tumor in our breast surgery department were collected. All patients underwent mammography, CTLM, and pathological examination. To analyze the image characteristics of breast CTLM imaging, calculate the diagnostic efficacy of CTLM imaging for breast tumors, and compare the image characteristics of CTLM imaging for benign and malignant tumors.

results(1) Postoperative pathological examination showed that 136 cases (60.44%) of lesions were benign tumors, and 89 cases (39.56%) were malignant tumors. (2) The "spokes distribution" of normal breast CTLM images was interrupted. In the 3D reconstructed images, the morphology of the abnormal angiogenesis area is mostly irregular nonbanded structure, which is manifested as slab structure, spindle structure, spherical structure, diverticulum structure, inverted conical structure, rings structure, branched structure, and dumbbell structure. (3) The detection rate of breast tumor by CTLM imaging was 84.44%. The specificity and coincidence rate of CTLM imaging were higher than that of mammography (

conclusionCTLM imaging can provide related information of neovascularization in breast cancer lesions, which is basically consistent with pathologically confirmed lesions.

Identifiers

PMID39290687
PMCPMC11407882

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