9 results on '"Rony Kampalath"'
Search Results
2. Evaluation of Hepatocellular Carcinoma Treatment Response After Locoregional Therapy
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Vahid Yaghmai, Karen Tran-Harding, Mishal Mendiratta-Lala, Rony Kampalath, and Richard K. G. Do
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Oncology ,medicine.medical_specialty ,Treatment response ,Carcinoma, Hepatocellular ,business.industry ,Liver Neoplasms ,medicine.disease ,Magnetic Resonance Imaging ,World health ,Response assessment ,Response Evaluation Criteria in Solid Tumors ,Treatment modality ,Internal medicine ,Hepatocellular carcinoma ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,business ,Retrospective Studies ,Liver imaging - Abstract
Locoregional therapy (LRT) for hepatocellular carcinoma can be used alone or with other treatment modalities to reduce rates of progression, improve survival, or act as a bridge to cure. As the use of LRT expands, so too has the need for systems to evaluate treatment response, such as the World Health Organization and modified Response Evaluation Criteria In Solid Tumors systems and more recently, the Liver Imaging Reporting and Data System (LI-RADS) treatment response algorithm (TRA). Early validation results for LI-RADS TRA have been promising, and as research accrues, the TRA is expected to evolve in the near future.
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- 2021
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3. Clinical Importance of Incidental Homogeneous Renal Masses That Measure 10–40 mm and 21–39 HU at Portal Venous Phase CT: A 12-Institution Retrospective Cohort Study
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Darshan Gandhi, Matt Markese, Rony Kampalath, Matthew S. Davenport, Erin C Taylor, David T. Fetzer, Medine Böge, Sonia Lee, Mohamed Ebada, Asser Abou Elkassem, Kristen Bishop, Ghaneh Fananapazir, Emre Altinmakas, Stuart G. Silverman, Michael T. Corwin, Matthew D. F. McInnes, Erick M. Remer, Sarah Rosasco, Daniella Asch, Nicola Schieda, David E Sweet, Nicole E. Curci, Andrew D. Smith, Nayana U. Patel, and Ayman H. Gaballah
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Adult ,Male ,medicine.medical_specialty ,MEDLINE ,Kidney ,urologic and male genital diseases ,Portal venous phase ,030218 nuclear medicine & medical imaging ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Renal mass ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Retrospective Studies ,Incidental Findings ,Portal Vein ,business.industry ,Retrospective cohort study ,General Medicine ,Middle Aged ,Kidney Neoplasms ,Homogeneous ,030220 oncology & carcinogenesis ,Female ,Radiology ,Tomography, X-Ray Computed ,business - Abstract
BACKGROUND. Incidental homogeneous renal masses are frequently encountered at portal venous phase CT. The American College of Radiology Incidental Findings Committee's white paper on renal masses r...
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- 2021
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4. Imaging of treatment response during systemic therapy for hepatocellular carcinoma
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Rony Kampalath, Neehar D. Parikh, Anum Aslam, Victoria Chernyak, William R. Masch, and Kimberly A. Shampain
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Drug ,medicine.medical_specialty ,Treatment response ,Radiological and Ultrasound Technology ,business.industry ,Urology ,media_common.quotation_subject ,Gastroenterology ,Hepatology ,medicine.disease ,Systemic therapy ,digestive system diseases ,Optimal management ,030218 nuclear medicine & medical imaging ,Food and drug administration ,03 medical and health sciences ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Hepatocellular carcinoma ,Internal medicine ,medicine ,Radiology, Nuclear Medicine and imaging ,Intensive care medicine ,business ,media_common - Abstract
Systemic therapy for the treatment of hepatocellular carcinoma (HCC) has rapidly evolved over the last 4 years; eight new drug regimens have gained Food and Drug Administration approval for treatment of advanced HCC since 2017. As several lines of therapy are now available for the treatment of HCC, accurate CT and MRI treatment response assessment is important for informing optimal management of affected patients. This article will review the systemic therapies currently approved for the treatment of HCC, focusing on items most pertinent to radiologists. Treatment response assessment of patients with HCC undergoing systemic therapy differs from treatment response assessment of patients receiving locoregional therapies, and principle differences will be highlighted. Finally, this review will provide a framework for the interpretation of CT and MRI examinations of patients with HCC being treated with systemic therapy and will explore the relevant scientific data currently available.
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- 2021
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5. LI-RADS treatment response lexicon: review, refresh and resolve with emerging data
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Sandeep Arora, Rony Kampalath, Anuradha S. Shenoy-Bhangle, Roopa Ram, Ania Z. Kielar, and Mishal Mendiratta-Lala
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Treatment response ,medicine.medical_specialty ,Carcinoma, Hepatocellular ,Urology ,Lexicon ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Medical physics ,Liver imaging ,Radiological and Ultrasound Technology ,business.industry ,Liver Neoplasms ,Gastroenterology ,medicine.disease ,Magnetic Resonance Imaging ,Response assessment ,Cross-Sectional Studies ,030220 oncology & carcinogenesis ,Hepatocellular carcinoma ,business ,Tomography, X-Ray Computed ,After treatment - Abstract
The imaging findings after loco regional treatment of hepatocellular carcinoma are variable based on the type of treatment used, the timing interval of imaging after treatment, and the cross-sectional modality used for treatment response assessment. Liver Imaging Reporting and Data System (LI-RADS) Treatment Response Algorithm (TRA) is a relatively new standardized method of evaluating treatment response after loco regional therapy to hepatocellular carcinoma. In this article, we provide an overview of the evolution of the treatment response algorithm, its current applicability and its outlook for the future. We will review current guidelines and discuss proposed changes to the algorithm as a means to continually improve LI-RADS TRA as an assessment tool post-loco regional treatment of hepatocellular carcinoma.
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- 2021
6. Effect of shelter-in-place on emergency department radiology volumes during the COVID-19 pandemic
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Marc D. Kohli, Edward J. Zaragoza, Rony Kampalath, Chantal Chahine, John Mongan, Michael Nguyentat, Justin Glavis-Bloom, Roozbeh Houshyar, Karen Tran-Harding, Paul Murphy, and Thomas W. Loehfelm
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Male ,Healthcare utilization ,Emergency Care ,California ,030218 nuclear medicine & medical imaging ,0302 clinical medicine ,Pandemic ,Viral ,Chest radiology ,Emergency Service ,Shelter in place ,Health Services ,Nuclear Medicine & Medical Imaging ,Radiology Nuclear Medicine and imaging ,Quarantine ,Emergency Medicine ,Original Article ,Female ,Radiology ,Emergency Service, Hospital ,Coronavirus Infections ,Diagnostic Imaging ,medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,Pneumonia, Viral ,Clinical Sciences ,Subspecialty ,Trauma ,03 medical and health sciences ,Hospital ,Betacoronavirus ,Clinical Research ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Pandemics ,business.industry ,SARS-CoV-2 ,Public health ,COVID-19 ,030208 emergency & critical care medicine ,Emergency department ,Pneumonia ,Coronavirus ,Good Health and Well Being ,ER ,Predictive model ,Utilization Review ,business - Abstract
Purpose The coronavirus disease 2019 (COVID-19) pandemic has led to significant disruptions in the healthcare system including surges of infected patients exceeding local capacity, closures of primary care offices, and delays of non-emergent medical care. Government-initiated measures to decrease healthcare utilization (i.e., “flattening the curve”) have included shelter-in-place mandates and social distancing, which have taken effect across most of the USA. We evaluate the immediate impact of the Public Health Messaging and shelter-in-place mandates on Emergency Department (ED) demand for radiology services. Methods We analyzed ED radiology volumes from the five University of California health systems during a 2-week time period following the shelter-in-place mandate and compared those volumes with March 2019 and early April 2019 volumes. Results ED radiology volumes declined from the 2019 baseline by 32 to 40% (p < 0.001) across the five health systems with a total decrease in volumes across all 5 systems by 35% (p < 0.001). Stratifying by subspecialty, the smallest declines were seen in non-trauma thoracic imaging, which decreased 18% (p value < 0.001), while all other non-trauma studies decreased by 48% (p < 0.001). Conclusion Total ED radiology demand may be a marker for public adherence to shelter-in-place mandates, though ED chest radiology demand may increase with an increase in COVID-19 cases. Electronic supplementary material The online version of this article (10.1007/s10140-020-01797-y) contains supplementary material, which is available to authorized users.
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- 2020
7. US Findings of First-Trimester Pregnancy RadioGraphics Fundamentals | Online Presentation
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Jay Lin, Vincenzo K. Wong, Lori Mankowski-Gettle, Rony Kampalath, and Sara M. Bahouth
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Pregnancy ,medicine.medical_specialty ,business.industry ,Obstetrics ,MEDLINE ,First trimester pregnancy ,medicine.disease ,Ultrasonography, Prenatal ,030218 nuclear medicine & medical imaging ,Diagnosis, Differential ,Pregnancy Complications ,03 medical and health sciences ,First trimester ,Pregnancy Trimester, First ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Female ,Presentation (obstetrics) ,Ultrasonography ,business - Abstract
A better understanding of normal and abnormal US findings in the first trimester of pregnancy will help radiologists identify normal embryonic development, recognize the viability of an intrauterin...
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- 2018
8. Prognostic value of metabolic tumor burden on 18F-FDG PET in nonsurgical patients with non-small cell lung cancer
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Shengri Liao, Bill C. Penney, Kristen Wroblewski, Hao Zhang, Cassie A. Simon, Rony Kampalath, Ming-Chi Shih, Naoko Shimada, Sheng Chen, Ravi Salgia, Daniel E. Appelbaum, Kenji Suzuki, Chin-Tu Chen, and Yonglin Pu
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Male ,Lung Neoplasms ,Time Factors ,Biological Transport ,General Medicine ,Prognosis ,Multimodal Imaging ,Tumor Burden ,Fluorodeoxyglucose F18 ,Carcinoma, Non-Small-Cell Lung ,Positron-Emission Tomography ,Humans ,Female ,Radiology, Nuclear Medicine and imaging ,Neoplasm Metastasis ,Tomography, X-Ray Computed ,Aged ,Neoplasm Staging ,Retrospective Studies - Abstract
The objective of this study was to assess the prognostic value of metabolic tumor burden on 2-deoxy-2-[(18)F]fluoro-D-glucose ((18)F-FDG) positron emission tomography (PET)/CT measured with metabolic tumor volume (MTV) and total lesion glycolysis (TLG), independent of Union Internationale Contra la Cancrum (UICC)/American Joint Committee on Cancer (AJCC) tumor, node, and metastasis (TNM) stage, in comparison with that of standardized uptake value (SUV) in nonsurgical patients with non-small cell lung cancer (NSCLC).This study retrospectively reviewed 169 consecutive nonsurgical patients (78 men, 91 women, median age of 68 years) with newly diagnosed NSCLC who had pretreatment (18)F-FDG PET/CT scans. The (18)F-FDG PET/CT scans were performed in accordance with National Cancer Institute guidelines. The MTV of whole-body tumor (MTV(WB)), of primary tumor (MTV(T)), of nodal metastases (MTV(N)), and of distant metastases (MTV(M)); the TLG of whole-body tumor (TLG(WB)), of primary tumor (TLG(T)), of nodal metastases (TLG(N)), and of distant metastases (TLG(M)); the SUV(max) of whole-body tumor (SUV(maxWB)), of primary tumor (SUV(maxT)), of nodal metastases (SUV(maxN)), and of distant metastases (SUV(maxM)) as well as the SUV(mean) of whole-body tumor (SUV(meanWB)), of primary tumor (SUV(meanT)), of nodal metastases (SUV(meanN)), and of distant metastases (SUV(meanM)) were measured with the PETedge tool on a MIMvista workstation with manual adjustment. The median follow-up among survivors was 35 months from the PET/CT (range 2-82 months). Statistical methods included Kaplan-Meier curves, Cox regression, and C-statistics.There were a total of 139 deaths during follow-up. Median overall survival (OS) was 10.9 months [95% confidence interval (CI) 9.0-13.2 months]. The MTV was statistically associated with OS. The hazard ratios (HR) for 1 unit increase of ln(MTV(WB)), √(MTV(T)), √(MTV(N)), and √(MTV(M)) before/after adjusting for stage were: 1.47/1.43 (p0.001/0.001), 1.06/1.05 (p0.001/0.001), 1.11/1.10 (p0.001/0.001), and 1.04/1.03 (p = 0.007/0.043), respectively. TLG had statistically significant associations with OS with the HRs for 1 unit increase in ln(TLG(WB)), √(TLG(T)), √(TLG(N)), and √(TLG(M)) before/after adjusting for stage being 1.36/1.33 (p0.001/0.001), 1.02/1.02 (p = 0.001/0.002), 1.05/1.04 (p0.001/0.001), and 1.02/1.02 (p = 0.003/0.024), respectively. The ln(SUV(maxWB)) and √(SUV(maxN)) were statistically associated with OS with the corresponding HRs for a 1 unit increase before/after adjusting for stage being 1.46/1.43 (p = 0.013/0.024) and 1.22/1.16 (p = 0.002/0.040). The √(SUV(meanN)) was statistically associated with OS before and after adjusting for stage with HRs for a 1 unit increase of 1.32 (p0.001) and 1.24 (p = 0.015), respectively. The √(SUV(meanM)) and √(SUV(maxM)) were statistically associated with OS before adjusting for stage with HRs for a 1 unit increase of 1.26 (p = 0.017) and 1.18 (p = 0.007), respectively, but not after adjusting for stage (p = 0.127 and 0.056). There was no statistically significant association between OS and √(SUV(maxT)), ln(SUV(meanWB)), or √(SUV(meanT)). There was low interobserver variability among three radiologists with intraclass correlation coefficients (ICC) greater than 0.94 for SUV(maxWB), ln(MTV(WB)), and ln(TLG(WB)). Interobserver variability was higher for SUV(meanWB) with an ICC of 0.806.Baseline metabolic tumor burdens at the level of whole-body tumor, primary tumor, nodal metastasis, and distant metastasis as measured with MTV and TLG on FDG PET are prognostic measures independent of clinical stage with low inter-observer variability and may be used to further stratify nonsurgical patients with NSCLC. This study also suggests MTV and TLG are better prognostic measures than SUV(max) and SUV(mean). These results will need to be validated in larger cohorts in a prospective study.
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- 2011
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9. Prognostic value of metabolic tumor burden from (18)F-FDG PET in surgical patients with non-small-cell lung cancer
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Shengri Liao, Hao Zhang, Yi Zhang, Yonglin Pu, Bill C. Penney, Rony Kampalath, and Kristen Wroblewski
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Male ,medicine.medical_specialty ,Lung Neoplasms ,medicine.medical_treatment ,Standardized uptake value ,Multimodal Imaging ,Metastasis ,Fluorodeoxyglucose F18 ,Carcinoma, Non-Small-Cell Lung ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Whole Body Imaging ,Neoplasm Metastasis ,Lung cancer ,Pneumonectomy ,Survival rate ,Aged ,Neoplasm Staging ,Proportional Hazards Models ,Retrospective Studies ,Fluorodeoxyglucose ,medicine.diagnostic_test ,business.industry ,Cancer ,Chemoradiotherapy ,medicine.disease ,Prognosis ,Tumor Burden ,Radiation therapy ,Survival Rate ,Positron emission tomography ,Lymphatic Metastasis ,Positron-Emission Tomography ,Female ,Radiology ,Radiopharmaceuticals ,business ,Tomography, X-Ray Computed ,medicine.drug - Abstract
To assess the prognostic value of metabolic tumor burden as measured with metabolic tumor volume (MTV) and total lesion glycolysis (TLG) on 2-deoxy-2-((18)F)fluoro-D-glucose ((18)F-FDG) positron emission tomography (PET)/computed tomography (CT), independent of current Union Internacional Contra la Cancrum/American Joint Committee on Cancer tumor, node, and metastasis (TNM) stage; in comparison with that of standardized uptake value (SUV) in surgical patients with non-small-cell lung cancer (NSCLC).This study retrospectively reviewed 104 consecutive surgical patients (47 males, 57 females, median age at PET/CT scan of 67.92 years) with diagnosed stage I to IV NSCLC who had baseline (18)F-FDG PET/CT scans. The (18)F-FDG PET/CT scans were performed in accordance with National Cancer Institute guidelines. The MTV of tumors in the whole body (MTV(WB)), TLG of tumors in the whole body (TLG(WB)), the maximum standardized uptake value of tumors in the whole body (SUV(maxWB)) as well as the mean standardized uptake value of tumor in the whole body (SUV(meanWB)) were measured. The median follow-up among 67 survivors was 42.07 months from the PET/CT (range 2.82-80.95 months). Statistical methods included Kaplan-Meier curves, Cox regression, and C-statistics. The interobserver variability of SUV(maxWB), SUV(meanWB), MTV(WB), and TLG(WB) between two observers was analyzed using concordance correlation coefficients (CCCs).The interobserver variability of SUV(maxWB), SUV(meanWB), MTV(WB) and TLG(WB) was very low with CCCs greater than 0.882. There was a statistically significant association of stage with overall survival (OS). The hazard ratio (HR) of stage III and stage IV as compared with stage I was 3.60 (P = .001) and 4.00 (P = .013), respectively. The MTV(WB) was significantly associated with OS with a HR for 1-unit increase of ln(MTV(WB)) of 1.40/1.32 (P = .004/.039), before/after adjusting for stage and other prognostic factors including chemoradiation therapy, and surgical procedure, respectively. TLG(WB) had a statistically significant association with OS before and after adjusting for stage and the other prognostic factors. The HR for 1-unit increase in ln(TLG(WB)) was 1.26 (P = .011) and 1.25 (P = .031), before and after the adjustment, respectively. Subjects with conditions that led to pneumonectomy (HR = 2.82, P = .035) or segmental resection (HR = 3.44, P = .044) had significantly worse survival than those needing lobectomy. There was no statistically significant association between OS and age, gender, tumor histology, ln(SUV(maxWB)), and ln(SUV(meanWB)) (all P.05). There were 37 deaths during follow-up.Baseline whole-body metabolic tumor burden as measured with MTV(WB) and TLG(WB) on FDG PET is a prognostic measure independent of clinical stage and other prognostic factors including chemoradiation therapy and surgical procedure with low interobserver variability and may be used to further risk stratify surgical patients with NSCLC. This study also suggests that MTV and TLG are better prognostic measures than SUV(max) and SUV(mean). These results will need to be validated in larger cohorts in a prospective study.
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- 2011
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