Aikaterini Fitsiori

Dr. Aikaterini Fitsiori


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 June 2018 in European Radiology
Verified
Journal Article
Closed access
PDF file
AFAikaterini Fitsiori
Aikaterini Fitsiori
LFLuc-Matthieu Fornecker
Luc-Matthieu Fornecker
LSLaurence Simon
Laurence Simon
AKAlexandros Karentzos
Alexandros Karentzos
DGDamien Galanaud
Damien Galanaud
SKStephane Kremer
Stephane Kremer

1 March 2018 in American Journal of Neuroradiology
Verified
Journal Article
Open access
PDF file
MDM. Drake-Pérez
M. Drake-Pérez
BDBénédicte Delattre
Bénédicte Delattre
JBJ. Boto
J. Boto
AFAikaterini Fitsiori
Aikaterini Fitsiori
Karl Olof LovbladKarl Olof Lovblad
Karl Olof Lovblad
MVM.I. Vargas
M.I. Vargas
BACKGROUND AND PURPOSE: SyMRI is a technique developed to perform quantitative MR imaging. Our aim was to analyze its potential use for measuring relaxation times of normal components of the spine and to compare them with values found in the literature using relaxometry and other techniques. MATERIALS AND METHODS: Thirty-two spine MR imaging studies (10 cervical, 5 dorsal, 17 lumbosacral) were included. A modified multiple-dynamic multiple-echo sequence was added and processed to obtain quantitative T1 (millisecond), T2 (millisecond), and proton density (percentage units [pu]) maps for each patient. An ROI was placed on representative areas for CSF, spinal cord, intervertebral discs, and vertebral bodies, to measure their relaxation. RESULTS: Relaxation time means are reported for CSF (T1 = 4273.4 ms; T2 = 1577.6 ms; proton density = 107.5 pu), spinal cord (T1 = 780.2 ms; T2 = 101.6 ms; proton density = 58.7 pu), normal disc (T1 = 1164.9 ms; T2 = 101.9 ms; proton density = 78.9 pu), intermediately hydrated disc (T1 = 723 ms; T2 = 66.8 ms; proton density = 60.8 pu), desiccated disc (T1 = 554.4 ms; T2 = 55.6 ms; proton density = 47.6 ms), and vertebral body (T1 = 515.3 ms; T2 = 100.8 ms; proton density = 91.1 pu). Comparisons among the mean T1, T2, and proton density values showed significant differences between different spinal levels (cervical, dorsal, lumbar, and sacral) for CSF (proton density), spinal cord (T2 and proton density), normal disc (T1, T2, and proton density), and vertebral bodies (T1 and proton density). Significant differences were found among mean T1, T2, and proton density values of normal, intermediately hydrated, and desiccated discs. CONCLUSIONS: Measurements can be easily obtained on SyMRI and correlated with previously published values obtained using conventional relaxometry techniques.

17 September 2020 in American Journal of Neuroradiology
Verified
Journal Article
Closed access
PDF file
SHShivaprakash B Hiremath
Shivaprakash B Hiremath
AFAikaterini Fitsiori
Aikaterini Fitsiori
JBJ. Boto
J. Boto
CTC. Torres
C. Torres
NZN. Zakhari
N. Zakhari
MVM.I. Vargas
M.I. Vargas
SUMMARY: Chiari malformations are a diverse group of abnormalities of the brain, craniovertebral junction, and the spine. Chiari 0, I, and 1.5 malformations, likely a spectrum of the same malformation with increasing severity, are due to the inadequacy of the para-axial mesoderm, which leads to insufficient development of occipital somites. Chiari II malformation is possibly due to nonclosure of the caudal end of the neuropore, with similar pathogenesis in the rostral end, which causes a Chiari III malformation. There have been significant developments in the understanding of this complex entity owing to insights into the pathogenesis and advancements in imaging modalities and neurosurgical techniques. This article aims to review the different types and pathophysiology of the Chiari malformations, along with a description of the various associated abnormalities. We also highlight the role of ante- and postnatal imaging, with a focus on the newer techniques in the presurgical evaluation, with a brief mention of the surgical procedures and the associated postsurgical complications.

11 June 2021 in American Journal of Neuroradiology
Verified
Journal Article
Closed access
PDF file
JBJ. Boto
J. Boto
RGR. Guatta
R. Guatta
AFAikaterini Fitsiori
Aikaterini Fitsiori
JHJeremy Hofmeister
Jeremy Hofmeister
Torstein R. MelingTorstein R. Meling
Torstein R. Meling
MVM.I. Vargas
M.I. Vargas
BACKGROUND AND PURPOSE: Recent concerns relating to tissue deposition of gadolinium are favoring the use of noncontrast MR imaging whenever possible. The purpose of this study was to assess the necessity of gadolinium contrast for follow-up MR imaging of untreated intracranial meningiomas. MATERIALS AND METHODS: One-hundred twenty-two patients (35 men, 87 women) with meningiomas who underwent brain MR imaging between May 2007 and May 2019 in our institution were included in this retrospective cohort study. We analyzed 132 meningiomas: 73 non-skull base (55%) versus 59 skull base (45%), 93 symptomatic (70%) versus 39 asymptomatic (30%). Fifty-nine meningiomas underwent an operation: 54 World Health Organization grade I (92%) and 5 World Health Organization grade II (8%). All meningiomas were segmented on T1 3D-gadolinium and 2D-T2WI. Agreement between T1 3D-gadolinium and 2D-T2WI segmentations was assessed by the intraclass correlation coefficient. RESULTS: The mean time between MR images was 1485 days (range, 760–3810 days). There was excellent agreement between T1 3D-gadolinium and T2WI segmentations (P < .001): mean tumor volume (T1 3D-gadolinium: 9012.15 [SD, 19,223.03] mm3; T2WI: 8528.45 [SD, 18,368.18 ] mm3; intraclass correlation coefficient = 0.996), surface area (intraclass correlation coefficient = 0.989), surface/volume ratio (intraclass correlation coefficient = 0.924), maximum 3D diameter (intraclass correlation coefficient = 0.986), maximum 2D diameter in the axial (intraclass correlation coefficient = 0.990), coronal (intraclass correlation coefficient = 0.982), and sagittal planes (intraclass correlation coefficient = 0.985), major axis length (intraclass correlation coefficient = 0.989), minor axis length (intraclass correlation coefficient = 0.992), and least axis length (intraclass correlation coefficient = 0.988). Tumor growth also showed good agreement (P < .001), estimated as a mean of 461.87 [SD, 2704.1] mm3/year on T1 3D-gadolinium and 556.64 [SD, 2624.02 ] mm3/year on T2WI. CONCLUSIONS: Our results show excellent agreement between the size and growth of meningiomas derived from T1 3D-gadolinium and 2D-T2WI, suggesting that the use of noncontrast MR imaging may be appropriate for the follow-up of untreated meningiomas, which would be cost-effective and avert risks associated with contrast media.

11 March 2019 in Children
Verified
Journal Article
Open access
PDF file
AFAikaterini Fitsiori
Aikaterini Fitsiori
SHShivaprakash B Hiremath
Shivaprakash B Hiremath
JBJosé Boto
José Boto
Valentina GaribottoValentina Garibotto
Valentina Garibotto
MVMaria Isabel Vargas
Maria Isabel Vargas
The etiology of epilepsy is variable and sometimes multifactorial. Clinical course and response to treatment largely depend on the precise etiology of the seizures. Along with the electroencephalogram (EEG), neuroimaging techniques, in particular, magnetic resonance imaging (MRI), are the most important tools for determining the possible etiology of epilepsy. Over the last few years, there have been many developments in data acquisition and analysis for both morphological and functional neuroimaging of people suffering from this condition. These innovations have increased the detection of underlying structural pathologies, which have till recently been classified as “cryptogenic” epilepsy. Cryptogenic epilepsy is often refractory to anti-epileptic drug treatment. In drug-resistant patients with structural or consistent functional lesions related to the epilepsy syndrome, surgery is the only treatment that can offer a seizure-free outcome. The pre-operative detection of the underlying structural condition increases the odds of successful surgical treatment of pharmacoresistant epilepsy. This article provides a comprehensive overview of neuroimaging techniques in epilepsy, highlighting recent advances and innovations and summarizes frequent etiologies of epilepsy in order to improve the diagnosis and management of patients suffering from seizures, especially young patients and children.

20 October 2020 in Neurology Clinical Practice
Verified
Journal Article
Closed access
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AFAikaterini Fitsiori
Aikaterini Fitsiori
VMValérie McLin
Valérie McLin
STSeema Toso
Seema Toso
MVMaria-Isabel Vargas
Maria-Isabel Vargas