Devdutta Warhadpande

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• Warhadpande, D. S., Kuo, P. H., Roveda, J. M., Lei, H., Sherman, S., Najafi, B., Stuehm, C., Libling, W. A., & Huo, J. (2022). Pilot Study for Correlation of Heart Rate Variability and Dopamine Transporter Brain Imaging in Patients with Parkinsonian Syndrome. Sensors. doi:10.3390/s22135055
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  Parkinsonian syndrome (PS) is a broad category of neurodegenerative movement disorders that includes Parkinson disease, multiple system atrophy (MSA), progressive supranuclear palsy, and corticobasal degeneration. Parkinson disease (PD) is the second most common neurodegenerative disorder with loss of dopaminergic neurons of the substantia nigra and, thus, dysfunction of the nigrostriatal pathway. In addition to the motor symptoms of bradykinesia, rigidity, tremors, and postural instability, nonmotor symptoms such as autonomic dysregulation (AutD) can also occur. Heart rate variability (HRV) has been used as a measure of AutD and has shown to be prognostic in diseases such as diabetes mellitus and cirrhosis, as well as PD. I-123 ioflupane, a gamma ray-emitting radiopharmaceutical used in single-photon emission computed tomography (SPECT), is used to measure the loss of dopaminergic neurons in PD. Through the combination of SPECT and HRV, we tested the hypothesis that asymmetrically worse left-sided neuronal loss would cause greater AutD.51 patients were enrolled on the day of their standard of care I-123 ioflupane scan for the work-up of possible Parkinsonian syndrome. Demographic information, medical and medication history, and ECG data were collected. HRV metrics were extracted from the ECG data. I-123 ioflupane scans were interpreted by a board-certified nuclear radiologist and quantified by automated software to generate striatal binding ratios (SBRs). Statistical analyses were performed to find correlations between the HRV and SPECT parameters.32 patients were excluded from the final analysis because of normal scans, prior strokes, cardiac disorders and procedures, or cancer. Abnormal I-123 ioflupane scans were clustered using T-SNE, and one-way ANOVA was performed to compare HRV and SBR parameters. The analysis was repeated after the exclusion of patients taking angiotensin-converting enzyme inhibitors, given the known mechanism on autonomic function. Subsequent analysis showed a significant difference between the high-frequency domains of heart rate variability, asymmetry of the caudate SBR, and putamen-to-caudate SBR.Our results support the hypothesis that more imbalanced (specifically worse left-sided) neuronal loss results in greater AutD.
• Warhadpande, D., Kuo, P. H., Kay, M. D., & Frazzitta, A. E. (2022). Diagnosis of Pulmonary Embolism on 99mTc-Labeled Macroaggregated Albumin Lung Imaging After Hepatic Arterial Injection for Planning of Radioembolization.. Clinical nuclear medicine, 47(3), e246-e248. doi:10.1097/rlu.0000000000004026
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  A 54-year-old man with hepatocellular carcinoma from alcohol-induced cirrhosis presented with hepatic encephalopathy and refractory ascites related to decompensated liver disease. MRI confirmed disease progression adjacent the site of prior radiofrequency ablation, performed 2 years prior, with associated right hepatic vein tumor thrombus. 99mTc-labeled macroaggregated albumin lung shunt imaging performed before 90Y radioembolization identified a left lower lobe wedge-shaped defect, confirmed as pulmonary embolism on CT pulmonary angiography and MRI.
• Warhadpande, D., Steinmeyer, L., Mushtaq, R., Kuo, P. H., & Kay, M. D. (2020). Pearls and Pitfalls of Quantitative Software Analysis of Dopamine Transporter SPECT.. Clinical nuclear medicine, 45(11), e469-e476. doi:10.1097/rlu.0000000000003183
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  Dopamine transporter SPECT with I-N-ω-fluoropropyl-2β-carbomethoxy-3β-(4-iodophenyl) nortropane (I-ioflupane) aids in the diagnosis of parkinsonian syndrome by demonstrating loss of striatal dopamine transporters, proportional to nigrostriatal dopaminergic neuronal loss. Quantitative software analysis (QSA) is a helpful adjunct to visual interpretation. An atlas of pearls and pitfalls of QSA is presented. Examples include correction for head tilt/orientation, scaling artifacts, and detection of balanced loss of activity. Additional examples are provided where QSA can potentially fail such as patient variation and vascular disease.