Prediction of lymph node metastasis in rectal cancer: comparison between shear-wave elastography based ultrasomics and MRI.
Purpose: We aimed to explore the diagnostic efficiency of shear-wave elastography (SWE) ultrasomics in the preoperative prediction of lymph node (LN) metastasis in rectal cancer.Methods: This study included 87 patients with pathologically confirmed rectal cancer, with data gathered from August 2017...
| Published in: | Diagnostic & Interventional Radiology Vol. 27; no. 3; pp. 424 - 432 |
|---|---|
| Main Authors: | , , , , , , , , , , , |
| Format: | Journal Article |
| Published: |
Galenos Yayinevi Tic. LTD. STI
May2021
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=150260934&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 150260934 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13053825 39NM jtl: Diagnostic & Interventional Radiology issn: 13053825 maglogo: N pubinfo: dt: May2021 vid: 27 iid: 3 pid: 28155 pub: Galenos Yayinevi Tic. LTD. STI artinfo: ui: 150260934 150260934 NLM34003129 10.5152/dir.2021.20031 NLM34003129 150260934 ppf: 424 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Prediction of lymph node metastasis in rectal cancer: comparison between shear-wave elastography based ultrasomics and MRI. aug: au: Meng-Fei Xian Xin Zheng Jian-Bo Xu Xin Li Li-Da Chen Wei Wang Xian, Meng-Fei Zheng, Xin Xu, Jian-Bo Li, Xin Chen, Li-Da Wang, Wei affil: Department of Medical Ultrasonics, East division of the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China sug: subj: Rectal Neoplasms Ultrasonography Neoplasm Metastasis Magnetic Resonance Imaging Lymph Nodes Neoplasm Staging ab: Purpose: We aimed to explore the diagnostic efficiency of shear-wave elastography (SWE) ultrasomics in the preoperative prediction of lymph node (LN) metastasis in rectal cancer.Methods: This study included 87 patients with pathologically confirmed rectal cancer, with data gathered from August 2017 to August 2018. A total of 1044 ultrasomics features of rectal tumor were collected with AK software from the SWE examinations. The least absolute shrinkage and selection operator (LASSO) regression model was used for feature selection and building a SWE ultrasomics signature. The diagnostic performance was evaluated with an area under the receiver operating characteristic curve (AUC) analysis. Then, the diagnostic performance of the SWE ultrasomics signature was compared with magnetic resonance imaging (MRI).Results: Of the 87 patients, 40 (46.0%) had LN metastasis. Thirteen ultrasomics features of rectal tumor were selected as the most significant features. The SWE ultrasomics signature correlated with LN metastasis (p < 0.001). Patients with LN metastasis had higher signature than patients without LN metastasis. In terms of diagnostic performance, SWE ultrasomics signature was significantly superior to MRI (AUC, 0.883 vs. 0.760, p = 0.034). The diagnostic accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of SWE ultrasomics signature were 82.8%, 87.5%, 78.8%, 77.8%, and 88.1%, respectively, while those of MRI were 75.9%, 77.5%, 74.5%, 72.1%, and 79.6%, respectively.Conclusion: SWE ultrasomics is a more accurate predictive method for identifying LN metastasis preoperatively than MRI. Thus, SWE ultrasomics might be used to better guide preoperative individual therapies for patients with rectal cancer. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|