Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Sathish Kumar Dundamadappa is active.

Publication


Featured researches published by Sathish Kumar Dundamadappa.


American Journal of Roentgenology | 2014

Correlation of Apparent Diffusion Coefficient With Ki-67 Proliferation Index in Grading Meningioma

Yi Tang; Sathish Kumar Dundamadappa; Senthur Thangasamy; Thomas Flood; Richard P. Moser; Thomas W. Smith; Keith A. Cauley; Deepak Takhtani

OBJECTIVE A noninvasive method to predict aggressiveness of high-grade meningiomas would be desirable because it would help anticipate tumor recurrence and improve tumor management and the treatment outcomes. The Ki-67 protein is a marker of tumor proliferation, and apparent diffusion coefficient (ADC) is related to tumor cellularity. Therefore, we sought to determine whether there is a statistically significant correlation between ADC and Ki-67 values in meningiomas and whether ADC values can differentiate various meningioma subtypes. MATERIALS AND METHODS MRI examinations and histopathology of 68 surgically treated meningiomas were retrospectively reviewed. Mean ADC values were derived from diffusion imaging. Correlation coefficients were calculated for mean ADC and Ki-67 proliferation index values using linear regression. An independent unpaired Student t test was used to compare the ADC and Ki-67 proliferation index values from low-grade and more aggressive meningiomas. RESULTS A statistically significant inverse correlation was found between ADC and Ki-67 proliferation index for low-grade and aggressive meningiomas (r(2) = -0.33, p = 0.0039). ADC values (± SD) of low-grade meningiomas (0.84 ± 0.14 × 10(-3) mm(2)/s) and aggressive (atypical or anaplastic) meningiomas (0.75 ± 0.03 × 10(-3) mm(2)/s) were significantly different (p = 0.0495). Using an ADC cutoff value of 0.70 × 10(-3) mm(2)/s, the sensitivity for diagnosing aggressive meningiomas was 29%, specificity was 94%, positive predictive value was 67%, and negative predictive value was 75%. CONCLUSION ADC values correlate inversely with Ki-67 proliferation index and help differentiate low-grade from aggressive meningiomas.


Acta Radiologica | 2007

Imaging of Brown Fat Associated with Adrenal Pheochromocytoma

Sathish Kumar Dundamadappa; Sridhar Shankar; R. Danrad; Ajay Singh; Gopal Vijayaraghavan; Young Hwan Kim; R. Perugini

The association of adrenal pheochromocytoma and brown fat has been described in the pathology literature and scantily in the radiology literature. We present a case of diffuse collection of brown fat in both perinephric spaces associated with left adrenal pheochromocytoma, and describe the computed tomography and magnetic resonance imaging findings.


American Journal of Roentgenology | 2013

Improved image quality and detection of small cerebral infarctions with diffusion-tensor trace imaging.

Keith A. Cauley; Senthur Thangasamy; Sathish Kumar Dundamadappa

OBJECTIVE The purpose of this study was to test a hypothesis that routinely performed diffusion-tensor trace imaging is of sufficient image quality and sensitivity for infarct detection to safely and routinely replace standard diffusion-weighted imaging (DWI) in the clinical setting. MATERIALS AND METHODS Both routine DWI and 15-direction diffusion-tensor imaging (DTI) with parallel acquisition technique were obtained on all brain MRI studies from a single 1.5-T MRI scanner at a tertiary care referral center over a 1-year period, permitting direct comparison of the two different diffusion studies on the same patients (2537 studies, 365 infarct-positive studies). A subset of images was assessed for image quality and quantitatively for ability to detect brain infarctions. The total set of positive studies was reviewed qualitatively for ability to detect small cerebral infarctions. RESULTS Fifteen-direction isotropic DWI (DTI trace images) with parallel acquisition technique resulted in consistently higher image quality with less distortion and higher image detail than routine DWI. Small infarcts were better seen, and in 12 cases, infarcts could only be seen on 15-direction isotropic diffusion-weighted images. The additional scanning time required for 15-direction isotropic DWI did not result in significantly increased motion-related reduction in image quality compared with standard DWI. CONCLUSION Diffusion-tensor trace images obtained with parallel acquisition technique are of improved image quality and improved sensitivity for detection of small cerebral infarctions relative to standard DWI. If such DTI data are acquired, routine DWI can be omitted.


Journal of Neuroimaging | 2013

Vertebral artery ostial stenosis: prevalence by digital subtraction angiography, MR angiography, and CT angiography.

Sathish Kumar Dundamadappa; Keith A. Cauley

(1) To determine the prevalence of vertebral arterial ostial stenosis (VOS) as determined by the “gold standard” of digital subtraction angiography (DSA). (2) To learn the correlation between vertebral ostial stenosis and study indication. (3) To determine the ability of contrast‐enhanced magnetic resonance angiography (CE MRA) and computed tomographic angiography (CTA) to reflect the true prevalence of vertebral ostial stenosis as determined by DSA.


Acta Radiologica | 2009

Imaging of gastrointestinal stromal tumors before and after imatinib mesylate therapy

Sridhar Shankar; Sathish Kumar Dundamadappa; A. R. Karam; R. M. Stay; E. van Sonnenberg

Gastrointestinal stromal tumors (GISTs) account for the majority of gastrointestinal mesenchymal tumors. Recent advances in treatment using the molecular targeting agent imatinib mesylate have shown startling response rates and variegated imaging findings. We present the various imaging appearances of GIST on computed tomography (CT) and magnetic resonance imaging (MRI), both before and after treatment.


Emergency Radiology | 2012

MR imaging of acute cervical spinal ligamentous and soft tissue trauma

Sathish Kumar Dundamadappa; Keith A. Cauley

The increasing availability of magnetic resonance imaging (MRI) and the high sensitivity of MRI for soft tissue injury are resulting in the increased use of MRI for the evaluation of acute trauma. As cervical spine injury can have a devastating consequence, MRI is being more commonly used to evaluate cervical spine injury in the acute setting, necessitating emergent interpretation by the on-call radiologist. Unless one is formally trained in a trauma center, the MRI findings of soft tissue and ligamentous cervical spine injury may not be fully appreciated. The goal of this pictorial review is to familiarize the reader with some of the more common soft tissue, vascular, and ligamentous injuries seen on MRI of the cervical spine in the emergent setting.


Emergency Radiology | 2015

Skull fractures in pediatric patients on computerized tomogram: comparison between routing bone window images and 3D volume-rendered images

Sathish Kumar Dundamadappa; Senthur Thangasamy; Nancy Resteghini; Srinivasan Vedantham; Andrew Chen; Deepak Takhtani

Skull fracture is a common finding following head trauma. It has a prognostic significance and its presence points to severe trauma. Additionally, there is a greater possibility of detecting associated small underlying extra-axial hematomas and subtle injuries to the brain parenchyma. In pediatric patients, the presence of multiple open sutures often makes fracture evaluation challenging. In our experience, 3D volume (3DV)-rendered CT images complement routine axial bone window (RBW) images in detection and characterization of fractures. This is a multi-reader, multi-case, paired retrospective study to compare the sensitivity and specificity of RBW and 3DV images in detection of calvarial fractures in pediatric patients. A total of 60 cases (22 with fractures and 38 without) were analyzed. Two experienced neuroradiologists and a radiology trainee were the readers of the study. For all readers, the sensitivity was not statistically different between the RBW and the 3DV interpretations. For each reader, there was a statistically significant difference in the interpretation times between the RBW and the 3DV viewing formats. A greater number of sutural diastasis was identified on 3DV. We propose that 3DV images should be part of routine head trauma imaging, especially in the pediatric age group. It requires minimal post-processing time and no additional radiation. Furthermore, 3DV images help in reducing the interpretation time and also enhance the ability of the radiologist to characterize the calvarial fractures.


Acta Radiologica | 2014

Flow artifact in the anterior communicating artery resembling aneurysm on the time of flight MR angiogram.

Deepak Takhtani; Sathish Kumar Dundamadappa; Ajit S. Puri; Ajay K. Wakhloo

Background Magnetic resonance angiogram (MRA) of the brain is a widely employed non-invasive test to diagnose aneurysms. However, its overall accuracy is less than digital subtraction angiography and is prone to give false-positive or false-negative results. False-negative results can be seen with hemorrhage, lipoma, dermoid, posterior lobe of the pituitary gland, and the flow artifacts. Purpose To describe the findings associated with false aneurysms in the anterior communicating artery on the time of flight MRA and review the physical principles behind this artifact. Material and Methods This short series comprises of four patients whose MRA showed suspicious aneurysms in the region of the anterior communicating artery (ACOM) on time of flight MRA. Results Two patients underwent catheter angiogram and the other two patients had computed tomography angiogram. None of these cases proved to have aneurysms and normal anterior communicating arteries were seen in all the patients. The findings on the MR angiograms were considered artifacts. All of the pseudoaneurysm had tapered appearance. Conclusion MR angiogram can result in artifacts at ACOM which may be mistaken for aneurysm. Such pseudoaneurysms have characteristic appearance and should be followed up with non-invasive tests.


Emergency Radiology | 2013

Stroke and Its Imaging Evaluation

Sathish Kumar Dundamadappa; Melanie Ehinger; Andrew Chen

Stroke, defined as the sudden onset of persistent neurologic deficit, is a significant cause of morbidity and mortality in the USA. It is the third leading cause of death. Ischemic infarction is by far the most common etiology comprising 88 % of stroke. Intracranial hemorrhage makes up an additional 10–15 %, with less common etiologies accounting for the remainder. Mortality rates vary with etiology, with a 38 and 8–12 % 30-day mortality seen in hemorrhagic and ischemic strokes, respectively.


Emergency Radiology | 2013

Role of noncontrast head CT in the assessment of vascular abnormalities in the emergency room

Deepak Takhtani; Sathish Kumar Dundamadappa; Jeevak Almast

Noncontrast CT of the head is a widely used noninvasive investigation for a variety of acute and chronic neurological conditions. Since CT head without contrast is usually the first and often the only investigation in the emergency room for many neurological symptoms, it is imperative to detect subtle vascular changes, which in many patients can be life-saving. The vascular abnormalities may present with increased density and/or size of the vessels, filling defects, and be associated with parenchymal and bony changes. In this article, we present examples of several vascular pathologies which can be identified on the noncontrast CT of the head, and learn imaging and interpretation techniques to help recognize what often are nebulous changes. While some of the findings are diagnostic by themselves and others subtle, any suspicious abnormality should be followed with dedicated vascular imaging such as CT/MR angiogram, venogram, or catheter angiogram for confirmation and better characterization.

Collaboration


Dive into the Sathish Kumar Dundamadappa's collaboration.

Top Co-Authors

Avatar

Deepak Takhtani

University of Massachusetts Medical School

View shared research outputs
Top Co-Authors

Avatar

Keith A. Cauley

University of Massachusetts Medical School

View shared research outputs
Top Co-Authors

Avatar

Senthur Thangasamy

University Hospital Coventry

View shared research outputs
Top Co-Authors

Avatar

Andrew Chen

University of Massachusetts Amherst

View shared research outputs
Top Co-Authors

Avatar

Sridhar Shankar

University of Massachusetts Medical School

View shared research outputs
Top Co-Authors

Avatar

A. R. Karam

University of Massachusetts Amherst

View shared research outputs
Top Co-Authors

Avatar

Ajay K. Wakhloo

University of Massachusetts Medical School

View shared research outputs
Top Co-Authors

Avatar

Ajay Singh

University of Massachusetts Medical School

View shared research outputs
Top Co-Authors

Avatar

Ajit S. Puri

University of Massachusetts Medical School

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge