Prediction of posterior ligamentous complex injury in thoracolumbar fractures using non-MRI imaging techniques

2016 ◽  
Vol 40 (6) ◽  
pp. 1075-1081 ◽  
Author(s):  
Shanmuganathan Rajasekaran ◽  
Anupama Maheswaran ◽  
Siddharth N. Aiyer ◽  
Rishi Kanna ◽  
Srikanth Reddy Dumpa ◽  
...  
Cancers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 3521
Author(s):  
Valeria Romeo ◽  
Giuseppe Accardo ◽  
Teresa Perillo ◽  
Luca Basso ◽  
Nunzia Garbino ◽  
...  

Neoadjuvant chemotherapy (NAC) is becoming the standard of care for locally advanced breast cancer, aiming to reduce tumor size before surgery. Unfortunately, less than 30% of patients generally achieve a pathological complete response and approximately 5% of patients show disease progression while receiving NAC. Accurate assessment of the response to NAC is crucial for subsequent surgical planning. Furthermore, early prediction of tumor response could avoid patients being overtreated with useless chemotherapy sections, which are not free from side effects and psychological implications. In this review, we first analyze and compare the accuracy of conventional and advanced imaging techniques as well as discuss the application of artificial intelligence tools in the assessment of tumor response after NAC. Thereafter, the role of advanced imaging techniques, such as MRI, nuclear medicine, and new hybrid PET/MRI imaging in the prediction of the response to NAC is described in the second part of the review. Finally, future perspectives in NAC response prediction, represented by AI applications, are discussed.


Spine ◽  
2012 ◽  
Vol 37 (13) ◽  
pp. 1142-1150 ◽  
Author(s):  
Kristen Radcliff ◽  
Brian W. Su ◽  
Christopher K. Kepler ◽  
Todd Rubin ◽  
Adam L. Shimer ◽  
...  

Radiology ◽  
2017 ◽  
Vol 282 (3) ◽  
pp. 790-797 ◽  
Author(s):  
Sébastien Molière ◽  
Cyril Zaragori-Benedetti ◽  
Matthieu Ehlinger ◽  
Jean-Marie Le Minor ◽  
Stéphane Kremer ◽  
...  

2013 ◽  
Vol 81 (1) ◽  
pp. 117-118 ◽  
Author(s):  
Nader S. Dahdaleh ◽  
Stephanus V. Viljoen ◽  
Brian D. Dalm ◽  
Matthew A. Howard ◽  
Nicole M. Grosland

2011 ◽  
pp. 2183-2190
Author(s):  
Holly Llobet ◽  
Paul Llobet ◽  
Michelle LaBrunda

A technological explosion has been revolutionizing imaging technology of the heart and lungs over the last decade. These advances have been transforming the health care industry, both preventative and acute care medicine. Ultrasound, nuclear medicine, computed tomography (CT), and magnetic resonance imaging (MRI) are examples of radiological techniques which have allowed for more accurate diagnosis and staging (determination of severity of disease). The most notable advances have occurred in CT and MRI. Most medical subspecialties rely on CT and MRI as the dominant diagnostic tools an exception being cardiology. CT and MRI are able to provide a detailed image of any organ or tissue in the body without the necessity of invasive or painful procedures. Virtually any individual could be tested as long as they are able to remain immobile for the duration of the study. Image generation traditionally has been limited by the perpetual motion of the human body. For example, the human heart is continually contracting and relaxing without a stationary moment during which an image could be obtained. Lung imaging has been more successful than cardiac imaging, but studies were limited to the length of time an ill person is able to hold his or her breath. Historically, imaging technology was limited by inability to take a picture fast enough of a moving object while maintaining a clinically useful level of resolution. Recent technologic innovation, resulting in high speed electrocardiogram- gated CT and MRI imaging, now allows the use of these imaging modalities for evaluation of the heart and lungs. These novel innovations provide clinicians with new tools for diagnosis and treatment of disease, but there are still unresolved issues, most notably radiation exposure. Ultrasound and MRI studies are the safest of the imaging modalities and subjects receive no radiation exposure. Nuclear studies give an approximate radiation dose of 10mSv and as high as 27mSv (Conti, 2005). In CT imaging, radiation dose can vary depending on the organ system being imaged and the type of scanner being used. The average radiation dose for pulmonary studies is 4.2mSv (Conti, 2005). The use of multi-detector CT (MDCT) to evaluate the heart can range from 6.7—13mSv. To put it into perspective, according to the National Institute of Health, an average individual will receive a radiation dose of 360mSv per year from the ambient environment. It is unlikely that the radiation doses received in routine imaging techniques will lead to adverse reactions such as cancer, but patients should be informed of the risks and benefits of each procedure so that they can make informed decisions. It is especially important that patients be informed when radioactive material is to be injected into their bodies. The reasons for this will be discussed later on in the chapter.


2015 ◽  
Vol 5 (1_suppl) ◽  
pp. s-0035-1554163-s-0035-1554163
Author(s):  
Francisco Ilabaca ◽  
Javier Lecaros ◽  
Alejandro Urzúa ◽  
Vicente Ballesteros ◽  
Patricio Azócar ◽  
...  

2021 ◽  
Vol 11 (6) ◽  
pp. 769
Author(s):  
Paola Feraco ◽  
Cesare Gagliardo ◽  
Giuseppe La Tona ◽  
Eleonora Bruno ◽  
Costanza D’angelo ◽  
...  

Parkinson’s disease (PD) is a progressive neurodegenerative disorder, characterized by motor and non-motor symptoms due to the degeneration of the pars compacta of the substantia nigra (SNc) with dopaminergic denervation of the striatum. Although the diagnosis of PD is principally based on a clinical assessment, great efforts have been expended over the past two decades to evaluate reliable biomarkers for PD. Among these biomarkers, magnetic resonance imaging (MRI)-based biomarkers may play a key role. Conventional MRI sequences are considered by many in the field to have low sensitivity, while advanced pulse sequences and ultra-high-field MRI techniques have brought many advantages, particularly regarding the study of brainstem and subcortical structures. Nowadays, nigrosome imaging, neuromelanine-sensitive sequences, iron-sensitive sequences, and advanced diffusion weighted imaging techniques afford new insights to the non-invasive study of the SNc. The use of these imaging methods, alone or in combination, may also help to discriminate PD patients from control patients, in addition to discriminating atypical parkinsonian syndromes (PS). A total of 92 articles were identified from an extensive review of the literature on PubMed in order to ascertain the-state-of-the-art of MRI techniques, as applied to the study of SNc in PD patients, as well as their potential future applications as imaging biomarkers of disease. Whilst none of these MRI-imaging biomarkers could be successfully validated for routine clinical practice, in achieving high levels of accuracy and reproducibility in the diagnosis of PD, a multimodal MRI-PD protocol may assist neuroradiologists and clinicians in the early and differential diagnosis of a wide spectrum of neurodegenerative disorders.


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