Gu L, Yang XL, Yin HK, Lu ZH, Geng CJ. Application value analysis of magnetic resonance imaging and computed tomography in the diagnosis of intracranial infection after craniocerebral surgery. World J Clin Cases 2020; 8(23): 5894-5901 [PMID: 33344588 DOI: 10.12998/wjcc.v8.i23.5894]
Corresponding Author of This Article
Cheng-Jun Geng, MHSc, Associate Chief Physician, Department of Medical Imaging, Wuxi Medical College of Anhui Medical University, 904th Hospital of Joint Logistic Support Force of PLA, No. 101 Xingyuan North Road, Wuxi 214044, Jiangsu Province, China. hfgcj@yeah.net
Research Domain of This Article
Radiology, Nuclear Medicine & Medical Imaging
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Clin Cases. Dec 6, 2020; 8(23): 5894-5901 Published online Dec 6, 2020. doi: 10.12998/wjcc.v8.i23.5894
Application value analysis of magnetic resonance imaging and computed tomography in the diagnosis of intracranial infection after craniocerebral surgery
Lan Gu, Xiao-Liang Yang, Hui-Kang Yin, Ze-Hua Lu, Cheng-Jun Geng
Lan Gu, Department of Radiology, Wuxi Fifth People’s Hospital, Wuxi 214000, Jiangsu Province, China
Xiao-Liang Yang, Hui-Kang Yin, Ze-Hua Lu, Cheng-Jun Geng, Department of Medical Imaging, Wuxi Medical College of Anhui Medical University, 904th Hospital of Joint Logistic Support Force of PLA, Wuxi 214044, Jiangsu Province, China
Author contributions: Gu L and Yang XL contributed equally to this article and should be considered as co-first authors; Gu L and Yang XL designed this retrospective study; Yin HK wrote the paper; Lu ZH was responsible for collating the data.
Institutional review board statement: The study was reviewed and approved by The 904th Hospital of the Joint Logistics Support Force of the Chinese PLA General Hospital Institutional Review Board (Approval No. 2016-03-01).
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous clinical data.
Conflict-of-interest statement: Lan Gu has received fees for serving as a speaker.
Data sharing statement: Technical appendix, statistical code, and dataset available from the corresponding author at 1092764537@qq.com. Participants gave informed consent for data sharing.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Cheng-Jun Geng, MHSc, Associate Chief Physician, Department of Medical Imaging, Wuxi Medical College of Anhui Medical University, 904th Hospital of Joint Logistic Support Force of PLA, No. 101 Xingyuan North Road, Wuxi 214044, Jiangsu Province, China. hfgcj@yeah.net
Received: June 16, 2020 Peer-review started: June 16, 2020 First decision: July 25, 2020 Revised: August 11, 2020 Accepted: October 19, 2020 Article in press: October 19, 2020 Published online: December 6, 2020
Abstract
BACKGROUND
Intracranial infection is a common clinical disease. Computed tomography (CT) and magnetic resonance imaging (MRI) have certain sensitivity and have good diagnostic efficacy.
AIM
To study the application value of MRI and CT in the diagnosis of intracranial infection after craniocerebral surgery.
METHODS
We selected 82 patients who underwent craniocerebral surgery (including 40 patients with intracranial infection and 42 patients without infection) during the period from April 2016 to June 2019 in our hospital. All 82 patients received CT and MRI examinations, and their clinical data were reviewed. A retrospective analysis was performed, and the coincidence rate of positive diagnosis and the overall diagnosis coincidence rate of different pathogenic infection types were measured with the two examination methods. The diagnostic sensitivity and specificity as well as the positive and negative predictive values of the two examination methods were compared.
RESULTS
For all types of pathogenic infections (Staphylococcus aureus, Staphylococcus hemolyticus, Staphylococcus epidermidis, and others), MRI scans had higher positive diagnostic coincidence rates than CT scans; the overall diagnostic coincidence rate, sensitivity, specificity, positive predictive value, and negative predictive values were significantly higher with MRI examinations than with CT examinations, and the differences were statistically significant (P < 0.05).
CONCLUSION
MRI examination can accurately diagnose intracranial infection after clinical craniocerebral surgery. Compared with CT, MRI had higher diagnostic efficiency. The diagnostic sensitivity and specificity, the diagnostic coincidence rate, and the positive and negative predictive values were significantly higher with MRI than with conventional CT, which can be actively promoted.
Core Tip: In this article, the diagnostic value of magnetic resonance imaging and computed tomography for intracranial infection after craniocerebral surgery was assessed.
