Validation of Quantification of Breast Implant Capsule Surface Area and Volume Using Magnetic Resonance Imaging

1991 ◽  
Vol 27 (4) ◽  
pp. 321-326 ◽  
Author(s):  
James M. Nachbar ◽  
William W. Orrison
2021 ◽  
Author(s):  
Qianqian Li ◽  
Junkai Wang ◽  
Jianghong Liu ◽  
Yumeng Wang ◽  
Peipeng Liang ◽  
...  

Abstract Background: Several Magnetic Resonance Imaging (MRI) studies have shown that the entorhinal cortex (ERC) is the first brain area related to pathologic changes of Alzheimer's disease (AD), even before atrophy of hippocampus (HP). However, Change of ERC morphology (thickness, surface area and volume) in the progression from aMCI to AD, especially in the subtypes of aMCI (single domain and multiple domain, aMCI-s and aMCI-m), however, is still unclear. Methods: ERC thickness, surface area and volume were measured in 29 people with aMCI-s, 22 people with aMCI-m, 18 patients with AD and 26 age-/sex-matched healthy controls. Group comparisons of the ERC geometry measurements (including thickness, volume and surface area) were performed using analyses of covariance (ANCOVA). Furthermore, receiver operator characteristic (ROC) analysis and the area under the curve (AUC) were employed to investigate the classification ability (HC, aMCI-s, aMCI-m and AD from each other).Results: There was a significant ERC thickness decreasing tendency from HC to aMCI-s to aMCI-m to finally AD in both left and right hemispheres (left hemisphere: HC > aMCI-s > AD; right hemisphere: aMCI-s > aMCI-m > AD). For ERC volume, both the AD group and the aMCI-m group showed significantly decreased volume in both sides compared with the HC group. Besides, the AD group also had significantly decreased volume in both sides compared with the aMCI-s group. As for the ERC surface area, no significant difference was identified among the four groups. Furthermore, the AUC results demonstrated that combined ERC parameters (thickness and volume) can better discriminate the four groups from each other than ERC thickness alone. Finally, and most importantly, relative to HP volume, the capacity of combined ERC parameters was better at discriminating between HC and aMCI-s, as well as aMCI-m and AD.Conclusion: ERC atrophy, particularly combination of ERC thickness and volume, might be regarded as a promising candidate biomarker in the early diagnosis of aMCI.


2021 ◽  
Vol 11 (9) ◽  
pp. 1129
Author(s):  
Qianqian Li ◽  
Junkai Wang ◽  
Jianghong Liu ◽  
Yumeng Wang ◽  
Kuncheng Li

Several magnetic resonance imaging studies have shown that the entorhinal cortex (ERC) is the first brain area related to pathologic changes in Alzheimer’s disease (AD), even before atrophy of the hippocampus (HP). However, change in ERC morphology (thickness, surface area and volume) in the progression from aMCI to AD, especially in the subtypes of aMCI (single-domain and multiple-domain: aMCI-s and aMCI-m), however, is still unclear. ERC thickness, surface area and volume were measured in 29 people with aMCI-s, 22 people with aMCI-m, 18 patients with AD and 26 age-/sex-matched healthy controls. Group comparisons of the ERC geometry measurements (including thickness, volume and surface area) were performed using analyses of covariance (ANCOVA). Furthermore, receiver operator characteristic (ROC) analyses and the area under the curve (AUC) were employed to investigate classification ability (HC, aMCI-s, aMCI-m and AD from each other). There was a significant decreasing tendency in ERC thickness from HC to aMCI-s to aMCI-m to finally AD in both the left and the right hemispheres (left hemisphere: HC > aMCI-s > AD; right hemisphere: aMCI-s > aMCI-m > AD). For ERC volume, both the AD group and the aMCI-m group showed significantly decreased volume on both sides compared with the HC group. In addition, the AD group also had significantly decreased volume on both sides compared with the aMCI-s group. As for the ERC surface area, no significant difference was identified among the four groups. Furthermore, the AUC results demonstrate that combined ERC parameters (thickness and volume) can better discriminate the four groups from each other than ERC thickness alone. Finally, and most importantly, relative to HP volume, the capacity of combined ERC parameters was better at discriminating between HC and aMCI-s, as well as aMCI-m and AD. ERC atrophy, particularly the combination of ERC thickness and volume, might be regarded as a promising candidate biomarker in the diagnosis and differential diagnosis of aMCI and AD.


1998 ◽  
Vol 84 (6) ◽  
pp. 2143-2153 ◽  
Author(s):  
S. D. Caruthers ◽  
C. B. Paschal ◽  
N. A. Pou ◽  
R. J. Roselli ◽  
T. R. Harris

A three-dimensional magnetic resonance imaging (MRI) method to measure pulmonary edema and lung microvascular barrier permeability was developed and compared with conventional methods in nine mongrel dogs. MRIs were obtained covering the entire lungs. Injury was induced by injection of oleic acid (0.021–0.048 ml/kg) into a jugular catheter. Imaging followed for 0.75–2 h. Extravascular lung water and permeability-related parameters were measured from multiple-indicator dilution curves. Edema was measured as magnetic resonance signal-to-noise ratio (SNR). Postinjury wet-to-dry lung weight ratio was 5.30 ± 0.38 ( n = 9). Extravascular lung water increased from 2.03 ± 1.11 to 3.00 ± 1.45 ml/g ( n = 9, P < 0.01). Indicator dilution studies yielded parameters characterizing capillary exchange of urea and butanediol: the product of the square root of equivalent diffusivity of escape from the capillary and capillary surface area ( D 1/2 S) and the capillary permeability-surface area product ( PS). The ratio of D 1/2 Sfor urea to D 1/2 Sfor butanediol increased from 0.583 ± 0.027 to 0.852 ± 0.154 ( n = 9, P < 0.05). Whole lung SNR at baseline, before injury, correlated with D 1/2 Sand PS ratios (both P < 0.02). By using rate of SNR change, the mismatch of transcapillary filtration flow and lymph clearance was estimated to be 0.2–1.8 ml/min. The filtration coefficient was estimated from these values. Results indicate that pulmonary edema formation during oleic acid injury can be imaged regionally and quantified globally, and the results suggest possible regional quantification by using three-dimensional MRI.


2008 ◽  
Vol 14 (6) ◽  
pp. 532-537 ◽  
Author(s):  
Giovanni Di Benedetto ◽  
Sara Cecchini ◽  
Luca Grassetti ◽  
Silvia Baldassarre ◽  
Gianluca Valeri ◽  
...  

2017 ◽  
Vol 15 (4) ◽  
pp. 465-469
Author(s):  
Jaime Anger ◽  
Pablo Eduardo Elias ◽  
Paula de Camargo Moraes ◽  
Nelson Hamerschlak

ABSTRACT Objective: To analyze the quality and quantity of data in the questionnaires and in request forms for magnetic resonance imaging. Methods: This retrospective study was conducted with data from 300 medical records. The research used the following data from the questionnaires: patient age, reason for the magnetic resonance imaging, reason for placing the breast implant, report of any signs or symptoms, time elapsed since surgery to place the current breast implant, replacement implant surgery, chemotherapy, and/or radiation therapy treatments. From the magnetic resonance imaging request forms, information about the breast implant, the implant placement surgery, patient clinical information and ordering physician specialty were verified. Results: The mean age of patients was 48.8 years, and the mean time elapsed since breast implant surgery was 5 years. A total of 60% of women in the sample were submitted to aesthetic surgery, while 23.7% were submitted to chemotherapy and/or radiation therapy. In the request forms, 23.7% of physicians added some piece of information about the patient, whereas 2.3% of them informed the type of implant and 5.2% informed about the surgery. Conclusion: The amount of information in the magnetic resonance imaging request forms is very limited, and this may hinder quality of radiological reports. Institutional and technological measures should be implemented to encourage the requesting physicians and radiologists to share information.


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