PSMA PET/CT Can Map Prostate Cancer Recurrences With Very Low PSA Levels

MedicalResearch.com Interview with:
Jeremie Calais PhD Ahmanson Translational Imaging Division UCLA Nuclear Medicine Department Los Angeles, CA 90095Jeremie Calais MD

Ahmanson Translational Imaging Division
UCLA Nuclear Medicine Department
Los Angeles, CA 90095

 MedicalResearch.com: What is the background for this study? What are the main findings?

Response: The only curative treatment for recurrent prostate cancer after radical prostatectomy is salvage radiotherapy. Unfortunately, current standard imaging modalities are too insensitive to visualize the location of the recurrence until it is too late. As a result, salvage radiotherapy is directed to areas only suspected to harbor the recurrence based upon a “best guess” approach according to standard guidelines that define radiotherapy treatment volumes.

PSMA PET/CT is a new imaging technique with sensitivity sufficient to detect and localize the recurrent prostate cancer early enough to potentially guide salvage radiotherapy.

The first sign of prostate cancer recurrence is a rising PSA. For salvage radiotherapy to be successful, it should be initiated before the PSA rises above 1 ng/mL, and ideally, closer to 0.2 ng/mL or lower. PSMA PET/CT localizes sites of prostate cancer recurrence in up to 70% of patients with low PSA, below < 1.0.

In the US it is not yet FDA approved and currently only used for research purposes. In our current study we included 270 patients with early recurrence of prostate cancer after surgery from Germany and UCLA,  we found that 20 % of the patients had at least one lesion detected by  PSMA PET/CT which was NOT covered by the standard radiation fields. Obviously, salvage radiotherapy is only curative if recurrent disease is completely encompassed by the radiotherapy fields and would have failed in these patients.

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Carbon Monoxide Poisoning: Acute Brain Lesions on MRI Can Predict Delayed Sequelae

MedicalResearch.com Interview with:
“Danger Carbon Monoxide” by SmartSign is licensed under CC BY 2.0Won Young Kim, MD PhD
Department of Emergency Medicine
Asan Medical Center
University of Ulsan College of Medicine
Seoul, Korea

MedicalResearch.com: What is the background for this study?

Response: Neurological symptoms of carbon monoxide (CO) poisoning can manifest not only immediately but also as late as 2 to 6 weeks after successful initial resuscitation as delayed neurological sequelae (DNS). To date, no reliable methods of assessing the probability of DNS after acute CO poisoning have been developed, which make it difficult to research the pathophysiology of DNS and targeting prevention.

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High Rates of Amyloid Imaging Positivity in Patients With Primary Progressive Aphasia

MedicalResearch.com Interview with:

Miguel A. Santos-Santos, MD Department of Neurology, Memory and Aging Center University of California San Francisco Autonomous University of Barcelona, Cerdanyola del Valles, Spain

Dr. Miguel A. Santos-Santos

Miguel ASantosSantosMD
Department of Neurology, Memory and Aging Center
University of California San Francisco
Autonomous University of Barcelona, Cerdanyola del Valles, Spain

MedicalResearch.com: What is the background for this study?

Response: Primary progressive aphasia (PPA) is a clinically and pathologically heterogeneous (generally Frontotemporal lobar degeneration [FTLD, generally tau or tdp proteinopathies] or Alzheimer’s disease [AD] pathology) condition in which language impairment is the predominant cause of functional impairment during the initial phases of disease. Classification of PPA cases into clinical-anatomical phenotypes is of great importance because they are linked to different prevalence of underlying pathology and prediction of this pathology during life is of critical importance due to the proximity of molecule-specific therapies. The 2011 international consensus diagnostic criteria established a classification scheme for the three most common variants (the semantic [svPPA], non-fluent/agrammatic [nfvPPA], and logopenic [lvPPA]) of PPA and represent a collective effort to increase comparability between studies and improve the reliability of clinicopathologic correlations compared to the previous semantic dementia and progressive non-fluent aphasia criteria included in the 1998 consensus FTLD clinical diagnostic criteria. Since their publication, a few studies have reported amyloid imaging and pathological results in PPA, however most of these studies are retrospective in nature and the prevalence of FTLD and Alzheimer’s disease pathological findings or biomarkers in each variant has been inconsistent across the literature, therefore prospective validation with biomarker and autopsy data remains scarce and highly necessary.
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Novel Brain Imaging May Detect Preclinical Alzheimer’s Disease

MedicalResearch.com Interview with:
Dr. Sanja Josef Golubic, dr. sc

Department of Physics, Faculty of Science
University of Zagreb, Croatia

MedicalResearch.com: What is the background for this study?

Response: Our study was aimed to search the topological biomarker of Alzheimer’s disease. A recent evidences suggest that the decades long progression of brain degeneration that is irreversible by the stage of symptomatic Alzheimer’s disease, may account for failures to develop successful disease-modifying therapies. Currently, there is a pressing worldwide search for a marker of very early, possibly reversible, pathological changes related to Alzheimer’s disease in still cognitively intact individuals, that could provide a critical opportunity for evolving of efficient therapeutic interventions.

Three years ago we reported the discovery of the novel, fast brain pathway specialized for rapid processing of the simple tones. We named it gating loop. Gating loop directly links auditory brain areas to prefrontal brain area. We have also noticed the high sensitivity of the gating loop processing on AD pathology. It was inspiration to focus our Alzheimer’s disease biomarker search in the direction of prefrontal brain activation during listening of simple tones.

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Brain Imaging Patterns Moving Closer To Identifying Schizophrenia on Functional MRI

MedicalResearch.com Interview with:

Irina Rish PhD IBM T.J. Watson Research Center Yorktown Heights, NY 10598

Dr. Rish

Irina Rish PhD
IBM T.J. Watson Research Center
Yorktown Heights, NY 10598 

MedicalResearch.com: What is the background for this study? What are the main findings?

Response: Schizophrenia is a chronic and severe psychiatric disorder that affects roughly about 1% of population. Although it is not as common as other mental disorders, such as depression, anxiety, and attention deficit disorder (ADD), and so on, schizophrenia  is perhaps one of  the most debilitating psychiatric disorders,  preventing people from normal  functioning in daily life. It is characterized primarily by a range of psychotic symptoms, including hallucinations (false auditory, visual or tactile perceptions detached from reality), as well as delusions, disorganized thoughts, speech and behavior, and multiple other symptoms including difficulty showing (and recognizing) emotions, poor executive functioning, inattentiveness, problems with working memory,  and so one. Overall, schizophrenia has a devastating impact not only on patients and their families, but on the economy, as it was estimated to cost the US about 2% off  gross national product in treatment costs, missed work, etc.
Thus, taking steps towards better understanding of the disease can potentially lead to more accurate early diagnosis and better treatments.

In this work, the objective was to identify “statistical biomarkers’ of schizophrenia from brain imaging data (specifically, functional MRI), i.e. brain activity patterns that would be capable of accurately discriminating between schizophrenic patients and controls, and reproducible (stable) across multiple datasets. The focus on both predictive accuracy (generalization to previously unseen subjects) as well as on stability (reproducibility) across multiple datsets differentiates our work from majority of similar studies in neuroimaging field that tend to focus only on statistically significant differences between such patterns on a fixed dataset, and may not reliably generalize to new data.

Our prior work on neuroimaging-based analysis of schizoprenia http://journals.plos.org/plosone/article/related?id=10.1371/journal.pone.0050625, as well as other research in the field, suggest that disrupted functional connectivity can be a much more informative source of discriminative patterns than local changes in brain activations, since schizophrenia is well known to be a “network disease”, rather than a localized one.

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MRI Biomarkers Track Cognitive Impairment Due to Head Trauma

MedicalResearch.com Interview with:

Virendra Mishra, Ph.D. Department of Imaging Research Cleveland Clinic Lou Ruvo Center for Brain Health in Las Vegas

Dr. Virendra Mishra

Virendra Mishra, Ph.D.
Department of Imaging Research
Cleveland Clinic Lou Ruvo Center for Brain Health in Las Vegas

MedicalResearch.com: What is the background for this study? What are the main findings?

Response: Repetitive head trauma has been shown to be a risk factor for various neurodegenerative disorders, mood swings, depression and chronic traumatic encephalopathy. There has been a significant amount of research into identifying an imaging biomarker of mild traumatic brain injury (mTBI) due to repetitive head trauma. Unfortunately, most of the biomarkers have not been able to find a successful translation to clinics. Additionally, the quest for the mTBI imaging biomarker especially using Magnetic Resonance Imaging (MRI) techniques has been done by looking at either the gray matter (T1-weighted) or the white matter (Diffusion Tensor Imaging) independently; and both have shown changes that are associated with repetitive head trauma.

Hence in this study, we wanted to investigate if combining gray matter and white matter information enables us to better predict the fighters who are more vulnerable to cognitive decline due to repetitive head trauma. Our method found seven imaging biomarkers that when combined together in a multivariate sense were able to predict with greater than 73% accuracy those fighters who are vulnerable to cognitive decline both at baseline and follow-up. The imaging biomarkers were indeed a combination of gray and white matter measures of regions reported previously in the literature. A key point in our study was we found the regions predicting cognitive decline without enforcing any assumptions on the regions previously reported.

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MRI At Six Months Can Predict Which High Risk Babies Will Develop Autism

MedicalResearch.com Interview with:

Joseph Piven, MD The Thomas E. Castelloe Distinguished Professor of Psychiatry UNC School of Medicine Director of the Carolina Institute for Developmental Disabilities Co-senior author of the study

Dr. Piven

Joseph Piven, MD
The Thomas E. Castelloe Distinguished Professor of Psychiatry
UNC School of Medicine
Director of the Carolina Institute for Developmental Disabilities
Co-senior author of the study

MedicalResearch.com: What is the background for this study? What are the main findings?

Response: Babies with older siblings with autism are at an increased risk (20%) of getting autism over the general population (1%).  Infants who later are diagnosed with autism don’t have any of the stigmata of autism in the first year of life. The symptoms of autism unfold in the first and particularly in the second year of life and beyond.

We have evidence to support the idea that behavioral symptoms of autism arise from changes in the brain that occur very early in life. So we have employed MRI and computer analyses to study those early brain changes and abnormalities in infancy to see if early brain changes at 6 months of age can predict whether babies at high-risk of developing autism will indeed develop the condition at age two.

For this particular study, we used data from MRIs of six-month olds to show the pattern of synchronization or connection across brain regions throughout the brain and then predict which babies at high familial risk of developing autism would be most likely to be diagnosed with the condition at age two.

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MRI Guided Prostate Biopsies Can Improve Care and Reduce Costs

MedicalResearch.com Interview with:

Vikas Gulani, MD, PhD Director, MRI, UH Cleveland Medical Center Associate Professor, Radiology, CWRU School of Medicine

Dr. Gulani

Vikas Gulani, MD, PhD
Director, MRI, UH Cleveland Medical Center
Associate Professor, Radiology, CWRU School of Medicine

MedicalResearch.com: What is the background for this study? What are the main findings?

Response: We wanted to learn if performing MR before prostate biopsy, followed by MR guided strategies for biopsy, are cost effective for the diagnosis of prostate cancer in men who have not previously undergone a biopsy and who have a suspicion of prostate cancer.

The most significant findings are as follows:

We found that all three MR guided strategies for lesion targeting (cognitive targeting, MR-ultrasound fusion targeting, and in-gantry targeting) are cost effective, as the increase in net health benefits as measured by addition of quality adjusted life years (QALY), outweigh the additional costs according to commonly accepted willingness to pay thresholds in the United States.

Cognitive targeting was the most cost effective. In-gantry biopsy added the most health benefit, and this additional benefit was cost-effective as well.

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Cardiac Magnetic Resonance Can Exclude Clinically Relevant Coronary Artery Disease

MedicalResearch.com Interview with:

Pr. Juerg Schwitter MD Médecin Chef Cardiologie Directeur du Centre de la RM Cardiaque du CHUV Centre Hospitalier Universitaire Vaudois - CHUV Suisse

Pr. Schwitter

Pr. Juerg Schwitter MD
Médecin Chef Cardiologie
Directeur du Centre de la RM Cardiaque du CHUV
Centre Hospitalier Universitaire Vaudois – CHUV
Suisse 

MedicalResearch.com: What is the background for this study? What are the main findings?

Response: Coronary artery disease (CAD) is still one of the leading causes of death in the industrialized world and as such, it is also an important cost driver in the health care systems of most countries. For the European Union, the estimated costs for CAD management were 60 billion Euros in 2009, of which approximately 20 billion Euros were attributed to direct health care costs (1). In 2015, the total costs of CAD management in the United States were estimated to be 47 billion dollars (2).

Substantial progress has been achieved regarding the treatment of CAD including drug treatment but also revascularizations procedures. There exists a large body of evidence demonstrating myocardial ischemia as one of the most important factors determining the patient’s prognosis and reduction of ischemia has been shown to improve outcome.

On the other hand, techniques to detect CAD, i.e. relevant myocardial ischemia, were insufficient in the past. Evaluation of myocardial perfusion by first-pass perfusion cardiac magnetic resonance (CMR) is now closing this gap (3) and CMR is recommended by most international guidelines for the work-up of known or suspected CAD (4,5).

Still, a major issue was not clarified until now, i.e. “how much ischemia is required to trigger revascularization procedures”. Thus, this large study was undertaken to assess at which level of ischemia burden, patients can be safely deferred from revascularization and can be managed by risk factor treatment only. Of note, this crucial question was addressed in both, patients with suspected CAD but also in patients with known (and sometimes already advanced) CAD, thereby answering this question in the setting of daily clinical practice.

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Ischemic Stroke: Collateral Blood Vessels Detected by Arterial Spin Labeling MRI Correlates With Good Neurological Outcome

MedicalResearch.com Interview with:
Jalal B. Andre M.D., D.A.B.R.®

Drector of neurological MRI and
MRI safety officer at Harborview Medical Center
University of Washington 

MedicalResearch.com: What is the background for this study?

Response: Acute ischemic stroke (AIS) patients with good collaterals have better clinical outcomes. AIS is characterized by an ischemic penumbra, a region of salvageable brain tissue, that surrounds a core of irreversible ischemic infarct. The penumbra is tenuously perfused by collateral blood vessels which, if extensive enough, can maintain penumbral perfusion, improving the odds that a larger volume of brain tissue will survive. Standard, first-line methods for evaluating collaterals in the acute setting include CT angiography, MR angiography, and (less commonly) digital subtraction angiography. Arterial spin labeling (ASL) is an emerging MRI technique that assesses cerebral perfusion. Its advantages include relatively short scan time (4-6 minutes), lack of ionizing radiation, and independence from an exogenous contrast agent (contraindicated in patients with impaired renal function or documented sensitivity). Collaterals can be identified within ASL images as foci of curvilinear hyperintensity bordering regions of hypoperfusion. We sought to explore a novel relationship between the presence of ASL collaterals (ASLc) and neurological outcome in acute ischemic stroke patients.

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