Incidental Finding Prevalences in 3-Tesla Brain and Spine MRI of Military Pilot Applicants

INTRODUCTION: Incidental findings in brain and spine MRI are common. In aerospace medicine, pilot selection may be affected by improved sensitivity of modern MRI devices. We investigated the occurrence of medically unfit rates caused by incidental findings in military pilot applicants using a 3-Tesla scanner as compared to the outcomes of a lower field strength 1-Tesla device based on similar screening protocols.METHODS: A total of 3315 military pilot applicants were assessed by a standardized German Air Force Imaging Screening Protocol and retrospectively subdivided into two cohorts, one of which was assessed by 1-Tesla MRI (2012-2015; N 1782), while in the second cohort (2016-2019; N 1808), a 3-Tesla MRI was used. Cohorts were statistically analyzed relating to three entities of incidental findings: 1) intervertebral disc displacements, 2) intracerebral vessel malformations, and 3) other abnormal findings in the brain.RESULTS: Pooled prevalences of incidental findings in medically unfit applicants significantly increased by use of 3-Tesla MRI as compared to lower resolution 1-Tesla MRI. Regarding the spine, prevalences more than doubled (1.46 vs. 4.99%; P < 0.05) for intervertebral disc displacements. Similarly, prevalences of cerebral vessel malformations as well as other abnormal CNS incidental findings considerably increased by use of 3-Tesla MRI (0.28 vs. 1.67%; P < 0.05, and 5.12 vs. 9.80%; P < 0.05). Effect sizes and correlations were substantial in all conditions analyzed (Cohens d > 0.8; Pearsons r > 0.75).CONCLUSIONS: Our data suggest a strong dependency of incidental cerebrospinal findings on image resolution and sensitivity of MRI devices used for screening, which is enhanced by refined imaging protocols and followed by increased medical unfit rates in prospective aviators. Adjusted strategies in the assessment of such lesions are needed to redefine their natural history and physiological impact, and to optimize screening protocols for future pilot selection.Snksen S-E, Khn SR, Nobl H-J, Knopf H, Ehling J, Jakobs FM, Frischmuth J, Weber F. Incidental finding prevalences in 3-Tesla brain and spine MRI of military pilot applicants. Aerosp Med Hum Perform. 2021; 92(3):146152.

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Single Cell Imaging of Human Cologenic Carcinoma Cells by 3-Tesla MRI

RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren ◽

10.1055/s-2004-820835 ◽

2004 ◽

Vol 176 (03) ◽

Author(s):

UKM Teichgräber ◽

JG Pinkernelle ◽

F Neumann ◽

T Benter ◽

H Bruhn ◽

...

Keyword(s):

Single Cell ◽

Cell Imaging ◽

Carcinoma Cells ◽

3 Tesla ◽

Single Cell Imaging ◽

3 Tesla Mri

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Boosting the Database: Three-Dimensional Visualization of Neurovascular Compression Syndromes Improved by High-Resolution 3 Tesla MRI

RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren ◽

10.1055/s-2006-931850 ◽

2006 ◽

Vol 178 (01) ◽

Author(s):

M Müller ◽

F Fischbach ◽

H Bruhn

Keyword(s):

High Resolution ◽

Three Dimensional ◽

3 Tesla ◽

Neurovascular Compression ◽

3 Tesla Mri ◽

Compression Syndromes

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Potential predictive value of axial T2 mapping at 3 Tesla MRI in patients with untreated patellar cartilage defects over a mean follow-up of four years

Osteoarthritis and Cartilage ◽

10.1016/j.joca.2019.10.009 ◽

2020 ◽

Vol 28 (2) ◽

pp. 215-222 ◽

Cited By ~ 3

Author(s):

S.R. Apprich ◽

M.M. Schreiner ◽

P. Szomolanyi ◽

G.H. Welsch ◽

U.K. Koller ◽

...

Keyword(s):

Predictive Value ◽

T2 Mapping ◽

3 Tesla ◽

Cartilage Defects ◽

Patellar Cartilage ◽

3 Tesla Mri

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Interobserver agreement of Prostate Imaging–Reporting and Data System (PI-RADS–v2)

Egyptian Journal of Radiology and Nuclear Medicine ◽

10.1186/s43055-020-00378-w ◽

2021 ◽

Vol 52 (1) ◽

Author(s):

Hala Maher Ahmed ◽

Ahmed Ebrahim Ebeed ◽

Ahmed Hamdy ◽

Mohamed Abou El-Ghar ◽

Ahmed Abdel Khalek Abdel Razek

Keyword(s):

Interobserver Agreement ◽

Imaging Modality ◽

Peripheral Zone ◽

Transitional Zone ◽

Data System ◽

3 Tesla ◽

Prostate Imaging ◽

Percent Agreement ◽

3 Tesla Mri

Abstract Background A retrospective study was conducted on 71 consecutive patients with suspected prostate cancer (PCa) with a mean age of 56 years and underwent mp-MRI of the prostate at 3 Tesla MRI. Two readers recognized all prostatic lesions, and each lesion had a score according to Prostate Imaging–Reporting and Data System version 2 (PI-RADS-v2). Purpose of the study To evaluate the interobserver agreement of PI-RADS-v2 in characterization of prostatic lesions using multiparametric MRI (mp-MRI) at 3 Tesla MRI. Results The overall interobserver agreement of PI-RADS-v2 for both zones was excellent (k = 0.81, percent agreement = 94.9%). In the peripheral zone (PZ) lesions are the interobserver agreement for PI-RADS II (k = 0.78, percent agreement = 83.9%), PI-RADS III (k = 0.66, percent agreement = 91.3 %), PI-RADS IV (k = 0.69, percent agreement = 93.5%), and PI-RADS V (k = 0.91, percent agreement = 95.7 %). In the transitional zone (TZ) lesions are the interobserver agreement for PI-RADS I (k = 0.98, percent of agreement = 96%), PI-RADS II (k = 0.65, percent agreement = 96%), PI-RADS III (k = 0.65, percent agreement = 88%), PI-RADS IV (k = 0.83, percent agreement = 96%), and PI-RADS V (k = 0.82, percent agreement = 92%). Conclusion We concluded that PI-RADS-v2 is a reliable and a reproducible imaging modality for the characterization of prostatic lesions and detection of PCa.

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Blood oxygen-level dependent functional assessment of cerebrovascular reactivity: Feasibility for intraoperative 3 Tesla MRI

Magnetic Resonance in Medicine ◽

10.1002/mrm.26135 ◽

2016 ◽

Vol 77 (2) ◽

pp. 806-813 ◽

Cited By ~ 3

Author(s):

Jorn Fierstra ◽

Jan-Karl Burkhardt ◽

Christiaan Hendrik Bas van Niftrik ◽

Marco Piccirelli ◽

Athina Pangalu ◽

...

Keyword(s):

Functional Assessment ◽

Blood Oxygen Level Dependent ◽

Cerebrovascular Reactivity ◽

3 Tesla ◽

Blood Oxygen ◽

Oxygen Level ◽

Blood Oxygen Level ◽

3 Tesla Mri

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Cognitive Correlates of Subregional Hippocampal Volumetry in Late Onset Depression: A 3 Tesla MRI Study

American Journal of Geriatric Psychiatry ◽

10.1016/j.jagp.2016.02.005 ◽

2016 ◽

Vol 24 (3) ◽

pp. S132-S133

Author(s):

Sivakumar P. Thangaraju ◽

Srikanth Miriyala ◽

Nagalakshmi R M ◽

Harshita Vishwakarma ◽

Shivakumar Venkatram ◽

...

Keyword(s):

Late Onset ◽

3 Tesla ◽

Cognitive Correlates ◽

3 Tesla Mri ◽

Mri Study

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Numerical Simulation of the Radiofrequency Safety of 128-Channel hd-EEG Nets on a 29-Month-Old Whole-Body Model in a 3 Tesla MRI

IEEE Transactions on Electromagnetic Compatibility ◽

10.1109/temc.2021.3097732 ◽

2021 ◽

pp. 1-9

Author(s):

Hongbae Jeong ◽

Georgios Ntolkeras ◽

P. Grant ◽

Giorgio Bonmassar

Keyword(s):

Numerical Simulation ◽

3 Tesla ◽

Whole Body ◽

Body Model ◽

3 Tesla Mri ◽

Whole Body Model

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Customization of normal data base specific for 3-tesla MRI is mandatory in VSRAD analysis

Radiological Physics and Technology ◽

10.1007/s12194-008-0027-0 ◽

2008 ◽

Vol 1 (2) ◽

pp. 196-200 ◽

Cited By ~ 3

Author(s):

Masami Goto ◽

Yuuichi Suzuki ◽

Osamu Abe ◽

Naoto Hayashi ◽

Shigeki Aoki ◽

...

Keyword(s):

Data Base ◽

3 Tesla ◽

3 Tesla Mri

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Accuracy of Two-dimensional Ultrasound and Magnetic Resonance Imaging in Diagnosis of Foetal Congenital Anomalies in a Tertiary Care Hospital- A Cross-sectional Study

JOURNAL FOR CLINICAL AND DIAGNOSTIC RESEARCH ◽

10.7860/jcdr/2021/49166.15146 ◽

2021 ◽

Author(s):

Jaybrata Ray ◽

Jaharlal Baidya ◽

Tanusri Debbarma ◽

Jobin Joy

Keyword(s):

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Congenital Anomalies ◽

High Field ◽

Cross Sectional Study ◽

3 Tesla ◽

Sectional Study ◽

Resonance Imaging ◽

Cross Sectional ◽

3 Tesla Mri

Introduction: Ultrasound screening for foetus congenital malformations is the mainstay in diagnosis and is commonly performed at 19-22 weeks gestation. Magnetic Resonance Imaging (MRI) is known as a problem solving tool which is used for answering a specific question. Both ultrasound and foetus MRI are highly sensitive and specific in diagnosis of congenital anomalies of the foetus with high agreement between both modalities. Aim: To determine the accuracy of Ultrasound Sonography (USG) and High Field 3 tesla MRI in diagnosis of different types of foetal Central Nervous System (CNS) and non CNS congenital abnormalities. Materials and Methods: A cross-sectional study was conducted in the Department of Radiodiagnosis at Agartala Government Medical College and GB Pant Hospital from June 2017 to May 2019. A total of 65 cases with ultrasound diagnosis of foetus abnormalities were examined by 3 Tesla MRI. MRI were performed within 15 days after USG detected anomalies. Statistical analysis was done using Chi-square test. Results: In cases with foetus anomalies high field MRI provided detailed findings leading to a more refined diagnosis. CNS anomalies were more as compared to other anomalies. Some of the antenatal findings were confirmed in some cases following termination of pregnancy and some were by postnatal examination. Among them chest anomalies was least common i.e., 1.5%. sensitivity of MRI was 88.13%, specificity was 66.66%, Positive Pressure Ventilation (PPV) was 96.29%, Negative Predictive Value (NPV) was 36.36% and USG sensitivity was 82.43%, specificity and 77.77%, PPV was 95.83%and NPV was 41.17%. Conclusion: High field MRI should be used as a second line of investigation in patients with foetus abnormalities diagnosed by ultrasound for confirmation of diagnosis and selecting the treatment protocol. In cases of fatal abnormalities, a confirmed diagnosis made before 20 weeks of pregnancy may help by terminating the pregnancy.

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