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Your search keyword '"Aganovic, Lejla"' showing total 23 results
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23 results on '"Aganovic, Lejla"'

1. Benign and Malignant Renal Disease

Author

Aganovic, Lejla, Nörenberg, Dominik, Hodler, Juerg, Series Editor, Kubik-Huch, Rahel A., Series Editor, von Schulthess, Gustav K., Series Editor, and Roos, Justus E., editor

Published
2023
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4. Can multiphase CT scan distinguish between papillary renal cell carcinoma type 1 and type 2?

Author

Bindayi, Ahmet, Mcdonald, Michelle L, Beksac, Alp T, Rivera-Sanfeliz, Gerant, Shabaik, Ahmed, Hughes, Fiona, Aganovic, Lejla, Hansel, Donna E, and Derweesh, Ithaar H

Subjects
Rare Diseases, Cancer, Kidney Disease
Abstract

ObjectiveTo investigate the utility of multiphase computed tomography (CT) and percutaneous renal mass biopsy (PRMB) in differentiating between papillary renal cell carcinoma (pRCC)-Type 1 and -Type 2, as emerging data have suggested differential enhancement patterns in different renal tumor histologies.Material and methodsRetrospective analysis of 51 patients (23 pRCC-Type 1/28 pRCC-Type 2) who underwent multiphase CT followed by surgery from July 2011 to April 2016 was performed. Data were analyzed between subgroups based on histology. Multiphase CT was analyzed for tumor size, and attenuation [Hounsfield Units (HU)]. Change in HU (ΔHU) was calculated between noncontrast (NC), corticomedullary (CM), nephrographic (N), and delayed (D) phases. Subset analysis was carried out on patients who underwent PRMB prior to surgery.ResultsThere was no difference in median tumor size (pRCC-Type 1 2.8 vs. pRCC-Type 2 2.6 cm, p=0.832). In addition to tumor size being similar between groups, distribution of tumor stages between groups was also similar (p=0.651). Greater proportion of high-grade tumors (III/IV) was noted in pRCC-Type 2 (42.9% vs. 8.7%) (p=0.011). There was no difference in HU values for NC (p=0.961), CM (p=0.118), N (p=0.277), and D (p=0.256) phases, and in ΔHU between CM-NC (p=0.278), N-NC (p=0.316), and D-NC (p=0.103). Thirteen patients underwent percutaneous biopsy, 11 of whom had diagnostic samples. Examination of 10/11 (90.9%) samples accurately predicted correct histology, and of 6/11 (54.5%) samples correctly identified high-vs. low-grade histology.ConclusionOur findings suggest substantial overlap of CT findings, despite pRCC-Type 2 having greater proportion of high-grade tumors. Utility of CT is limited in the differentiation between pRCC subtypes. Patients with suggested pRCC on CT imaging being considered for a non-extirpative strategy should undergo PRMB for risk stratification.

Published
2018

5. Actinotignum schaalii Infection: A Clandestine Cause of Sterile Pyuria?

Author

Horton, Lucy E, Mehta, Sanjay R, Aganovic, Lejla, and Fierer, Joshua

Subjects
Actinotignum schaalii, chronic prostatitis, epididymitis, orchitis, urinary tract infection, Infectious Diseases, Urologic Diseases, Aging, Infection
Abstract

Actinotignum schaalii is an underappreciated cause of urinary tract infections (UTIs) in older adults. The diagnosis may be missed due to difficulty isolating and identifying the organism. Complications can result because the organism is intrinsically resistant to 2 commonly used drugs to treat UTI, as illustrated by this case.

Published
2018

7. Renal Tumors

Author

Aganovic, Lejla, Cohan, Richard H., Hodler, Juerg, Series Editor, Kubik-Huch, Rahel A., Series Editor, and von Schulthess, Gustav K., Series Editor

Published
2018
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18. The Radiogenomic Risk Score : construction of a Prognostic Quantitative, Noninvasive Image-based Molecular Assay for Renal Cell Carcinoma

Author

Jamshidi, Neema, Jonasch, Eric, Zapala, Matthew, Korn, Ronald L., Aganovic, Lejla, Zhao, Hongjuan, Sitaram Raviprakash, Tumkur, Tibshirani, Robert J., Banerjee, Sudeep, Brooks, James D., Ljungberg, Börje, Kuo, Michael D., Jamshidi, Neema, Jonasch, Eric, Zapala, Matthew, Korn, Ronald L., Aganovic, Lejla, Zhao, Hongjuan, Sitaram Raviprakash, Tumkur, Tibshirani, Robert J., Banerjee, Sudeep, Brooks, James D., Ljungberg, Börje, and Kuo, Michael D.

Abstract

Purpose: To evaluate the feasibility of constructing radiogenomic-based surrogates of molecular assays (SOMAs) in patients with clear-cell renal cell carcinoma (CCRCC) by using data extracted from a single computed tomographic (CT) image. Materials and Methods: In this institutional review board approved study, gene expression profile data and contrast material–enhanced CT images from 70 patients with CCRCC in a training set were independently assessed by two radiologists for a set of predefined imaging features. A SOMA for a previously validated CCRCC-specific supervised principal component (SPC) risk score prognostic gene signature was constructed and termed the radiogenomic risk score (RRS). It uses the microarray data and a 28-trait image array to evaluate each CT image with multiple regression of gene expression analysis. The predictive power of the RRS SOMA was then prospectively validated in an independent dataset to confirm its relationship to the SPC gene signature (n = 70) and determination of patient outcome (n = 77). Data were analyzed by using multivariate linear regression–based methods and Cox regression modeling, and significance was assessed with receiver operator characteristic curves and Kaplan-Meier survival analysis. Results: Our SOMA faithfully represents the tissue-based molecular assay it models. The RRS scaled with the SPC gene signature (R = 0.57,P < .001, classification accuracy 70.1%, P < .001) and predicted disease-specific survival (log rank P < .001). Independent validation confirmed the relationship between the RRS and the SPC gene signature (R = 0.45, P < .001, classification accuracy 68.6%, P < .001) and disease-specific survival (log-rank P < .001) and that it was independent of stage, grade, and performance status (multivariate Cox model P < .05, log-rank P < .001). Conclusion: A SOMA for the CCRCC-specific SPC prognostic gene signature that is predictive of disease-specific survival and independent of stag

Published
2015
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19. The Radiogenomic Risk Score: Construction of a Prognostic Quantitative, Noninvasive Image-based Molecular Assay for Renal Cell Carcinoma

Author

Jamshidi, Neema, primary, Jonasch, Eric, additional, Zapala, Matthew, additional, Korn, Ronald L., additional, Aganovic, Lejla, additional, Zhao, Hongjuan, additional, Tumkur Sitaram, Raviprakash, additional, Tibshirani, Robert J., additional, Banerjee, Sudeep, additional, Brooks, James D., additional, Ljungberg, Borje, additional, and Kuo, Michael D., additional

Published
2015
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23. Renal Tumors

Author

Aganovic L, Cohan RH, Hodler J, Kubik-Huch RA, and von Schulthess GK

Abstract

Cystic and solid renal masses can be imaged with ultrasound, CT, and MRI, with contrast enhancement needed to optimize renal mass detection and characterization. Most very small renal masses cannot be characterized due to their size. Because the overwhelming majority of these are benign, follow-up is suggested only when these masses appear heterogeneous. CT and MRI are able to predict which cystic renal masses are most likely to be malignant. CT and MRI can identify macroscopic fat in the vast majority of angiomyolipomas, allowing for differentiation from other solid renal masses. Although some solid renal masses without macroscopic fat may contain distinct combinations of imaging features, there is much overlap, and biopsy will often be required for diagnosis. CT and MRI are accurate in staging renal cancers, predicting whether partial nephrectomy can be performed successfully, and for imaging patients after treatment. Unique patterns of metastatic disease response can be encountered after treatment of metastatic renal cancer with targeted chemotherapeutic agents. Radiologists must be aware of these patterns as well as of the imaging appearance of newly emerging treatment complications., (Copyright 2018, The Author(s).)

Published
2018
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