Evidence map›Paper›PMID 33836721›Full record

ArticleBMC surgery2021

Application of preoperative computed tomographic lymphography for precise sentinel lymph node biopsy in breast cancer patients.

Shishuai Wen, Yiran Liang, Xiaoli Kong, Baofeng Liu, Tingting Ma, Yeqing Zhou, Liyu Jiang, Xiaoyan Li, Qifeng Yang

Open access · goldAbstract read
In one paragraph

Article in BMC surgery, 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
0.2field-weighted citation impact, top 58% 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, 4 citations in OpenAlex.

  1. Review
  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

9 authors at 1 institution in 1 country.

Shishuai Wen *Department of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Wenhua Xi Road No. 107, Jinan, 250012, Shandong, China.
Yiran Liang *Department of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Wenhua Xi Road No. 107, Jinan, 250012, Shandong, China.
Xiaoli KongDepartment of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Wenhua Xi Road No. 107, Jinan, 250012, Shandong, China.
Baofeng LiuDepartment of Radiology, Qilu Hospital of Shandong University, Jinan, China.
Tingting MaDepartment of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Wenhua Xi Road No. 107, Jinan, 250012, Shandong, China.
Yeqing ZhouDepartment of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Wenhua Xi Road No. 107, Jinan, 250012, Shandong, China.
Liyu JiangDepartment of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Wenhua Xi Road No. 107, Jinan, 250012, Shandong, China.
Xiaoyan LiDepartment of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Wenhua Xi Road No. 107, Jinan, 250012, Shandong, China.
Qifeng YangDepartment of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Wenhua Xi Road No. 107, Jinan, 250012, Shandong, China. qifengy_sdu@163.com.
Qilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn light of the extensive application of sentinel lymph node biopsy (SLNB) in clinically node-negative breast cancer patients and the recently investigated failure of SLNB after lumpectomy, it has become important to explore methods for preoperative mapping of sentinel lymph nodes (SLNs) and their lymphatics to direct precise SLNB and improve the identification rate of SLNs.

methodsTwenty-seven patients with suspected breast cancer based on the results of the clinical examination and imaging were enrolled in the study. Computed tomographic lymphography (CTLG) followed by CT three-dimensional reconstruction was performed to determine the localization of SLNs and lymphatics on the body surface preoperatively. Intraoperatively combined staining with methylene blue and indocyanine green was used to evaluate the accuracy and feasibility of CTLG.

resultsSLNs and lymphatics from the breast were identified using CTLG in all patients, and preoperative SLNs and lymphatics localization on the body surface showed a significant role in the selection of operative incision and injection points. The accuracy rate of SLN and lymphatic detection by CTLG was 92.6% compared with intraoperatively combined staining. Moreover, preoperative CTLG performed well in SLN number detection, and the accuracy rate was 95.2%.

conclusionWe evaluate the procedure and application of preoperative CTLG in the superficial localization of SLNs and lymphatics, which may lead to a decreased incidence of cutting off the lymphatics of SLNs and consequently more rapid and accurate SLN detection. This method promotes personalized SLN mapping, providing detailed information about the number and anatomical location of SLNs and lymphatics for adequate surgical planning for breast cancer patients.

Indexed as

Breast NeoplasmsLymphographySentinel Lymph Node BiopsyFemaleHumansPreoperative CareReproducibility of ResultsTomography, X-Ray ComputedComputed tomographic lymphographyCT three-dimensional reconstructionPreoperative SLNs and lymphatics localizationSentinel lymph node biopsy

Identifiers

PMID33836721
PMCPMC8033684
OpenAlexW3141828194

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.