1
|
Singer ED, Karbasian N, Katz DS, Wong VK, Abdelsalam ME, Stanietzky N, Nguyen TT, Shenoy-Bhangle AS, Badawy M, Revzin MV, Shehata MA, Eltaher M, Elsayes KM, Korivi BR. Renal bleeding: imaging and interventions in patients with tumors. Diagn Interv Radiol 2025; 31:161-170. [PMID: 38874163 PMCID: PMC12057524 DOI: 10.4274/dir.2024.242822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 05/21/2024] [Indexed: 06/15/2024]
Abstract
In patients with cancer, spontaneous renal bleeding can stem from a range of underlying factors, necessitating precise diagnostic tools for effective patient management. Benign and malignant renal tumors are among the primary culprits, with angiomyolipomas and renal cell carcinomas being the most common among them. Vascular anomalies, infections, ureteral obstructions, and coagulation disorders can also contribute to renal-related bleeding. Cross-sectional imaging techniques, particularly ultrasound and computed tomography (CT), play pivotal roles in the initial detection of renal bleeding. Magnetic resonance imaging and CT are preferred for follow-up evaluations and aid in detecting underlying enhancing masses. IV contrast-enhanced ultrasound can provide additional information for active bleeding detection and differentiation. This review article explores specific disorders associated with or resembling spontaneous acute renal bleeding in patients with renal tumors; it focuses on the significance of advanced imaging techniques in accurately identifying and characterizing renal bleeding in these individuals. It also provides insights into the clinical presentations, imaging findings, and treatment options for various causes of renal bleeding, aiming to enhance the understanding, diagnosis, and management of the issue.
Collapse
Affiliation(s)
- Emad D. Singer
- The University of Texas MD Anderson Cancer Center Department of Abdominal Radiology, Texas, USA
| | - Niloofar Karbasian
- The University of Texas Health Sciences Center Department of Diagnostic and Interventional Radiology, Texas, USA
| | - Douglas S. Katz
- New York University Long Island School of Medicine, Department of Radiology, New York, USA
| | - Vincenzo K. Wong
- The University of Texas MD Anderson Cancer Center Department of Abdominal Radiology, Texas, USA
| | - Mohamed E. Abdelsalam
- The University of Texas MD Anderson Cancer Center Department of Abdominal Radiology, Texas, USA
| | - Nir Stanietzky
- The University of Texas MD Anderson Cancer Center Department of Abdominal Radiology, Texas, USA
| | - Trinh T. Nguyen
- Billings Clinic Hospital Department of Diagnostic Radiology, Montana, USA
| | | | - Mohamed Badawy
- Wayne State University Diagnostic Radiology Department, Michigan, USA
| | - Margarita V. Revzin
- Yale University School of Medicine Department of Radiology, Connecticut, USA
| | - Mostafa A. Shehata
- The University of Texas MD Anderson Cancer Center Department of Abdominal Radiology, Texas, USA
| | - Mohamed Eltaher
- The University of Texas MD Anderson Cancer Center Department of Abdominal Radiology, Texas, USA
| | - Khaled M. Elsayes
- The University of Texas MD Anderson Cancer Center Department of Abdominal Radiology, Texas, USA
| | - Brinda Rao Korivi
- The University of Texas MD Anderson Cancer Center Department of Abdominal Radiology, Texas, USA
| |
Collapse
|
2
|
Janas A, Jordan J, Bertalan G, Meyer T, Bukatz J, Sack I, Senger C, Nieminen-Kelhä M, Brandenburg S, Kremenskaia I, Krantchev K, Al-Rubaiey S, Mueller S, Koch SP, Boehm-Sturm P, Reiter R, Zips D, Vajkoczy P, Acker G. In vivo characterization of brain tumor biomechanics: magnetic resonance elastography in intracranial B16 melanoma and GL261 glioma mouse models. Front Oncol 2024; 14:1402578. [PMID: 39324003 PMCID: PMC11422132 DOI: 10.3389/fonc.2024.1402578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Accepted: 08/05/2024] [Indexed: 09/27/2024] Open
Abstract
Introduction Magnetic Resonance Elastography (MRE) allows the non-invasive quantification of tumor biomechanical properties in vivo. With increasing incidence of brain metastases, there is a notable absence of appropriate preclinical models to investigate their biomechanical characteristics. Therefore, the purpose of this work was to assess the biomechanical characteristics of B16 melanoma brain metastases (MBM) and compare it to murine GL261 glioblastoma (GBM) model using multifrequency MRE with tomoelastography post processing. Methods Intracranial B16 MBM (n = 6) and GL261 GBM (n = 7) mouse models were used. Magnetic Resonance Imaging (MRI) was performed at set intervals after tumor implantation: 5, 7, 12, 14 days for MBM and 13 and 22 days for GBM. The investigations were performed using a 7T preclinical MRI with 20 mm head coil. The protocol consisted of single-shot spin echo-planar multifrequency MRE with tomoelastography post processing, contrast-enhanced T1- and T2-weighted imaging and diffusion-weighted imaging (DWI) with quantification of apparent diffusion coefficient of water (ADC). Elastography quantified shear wave speed (SWS), magnitude of complex MR signal (T2/T2*) and loss angle (φ). Immunohistological investigations were performed to assess vascularization, blood-brain-barrier integrity and extent of glucosaminoglucan coverage. Results Volumetric analyses displayed rapid growth of both tumor entities and softer tissue properties than healthy brain (healthy: 5.17 ± 0.48, MBM: 3.83 ± 0.55, GBM: 3.7 ± 0.23, [m/s]). SWS of MBM remained unchanged throughout tumor progression with decreased T2/T2* intensity and increased ADC on days 12 and 14 (p<0.0001 for both). Conversely, GBM presented reduced φ values on day 22 (p=0.0237), with no significant alterations in ADC. Histological analysis revealed substantial vascularization and elevated glycosaminoglycan content in both tumor types compared to healthy contralateral brain. Discussion Our results indicate that while both, MBM and GBM, exhibited softer properties compared to healthy brain, imaging and histological analysis revealed different underlying microstructural causes: hemorrhages in MBM and increased vascularization and glycosaminoglycan content in GBM, further corroborated by DWI and T2/T2* contrast. These findings underscore the complementary nature of MRE and its potential to enhance our understanding of tumor characteristics when used alongside established techniques. This comprehensive approach could lead to improved clinical outcomes and a deeper understanding of brain tumor pathophysiology.
Collapse
Affiliation(s)
- Anastasia Janas
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- Department of Radiation Oncology and Radiotherapy, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Jakob Jordan
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Gergely Bertalan
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Tom Meyer
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Jan Bukatz
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Department of Radiation Oncology and Radiotherapy, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Ingolf Sack
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Carolin Senger
- Department of Radiation Oncology and Radiotherapy, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Melina Nieminen-Kelhä
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Susan Brandenburg
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Irina Kremenskaia
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Kiril Krantchev
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Department of Radiation Oncology and Radiotherapy, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Sanaria Al-Rubaiey
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Department of Radiation Oncology and Radiotherapy, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Susanne Mueller
- Department of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Charité 3R - Replace | Reduce | Refine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- NeuroCure Cluster of Excellence and Charité Core Facility 7T Experimental MRIs, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Stefan Paul Koch
- Department of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Charité 3R - Replace | Reduce | Refine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- NeuroCure Cluster of Excellence and Charité Core Facility 7T Experimental MRIs, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Philipp Boehm-Sturm
- Department of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Charité 3R - Replace | Reduce | Refine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- NeuroCure Cluster of Excellence and Charité Core Facility 7T Experimental MRIs, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Rolf Reiter
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Daniel Zips
- Department of Radiation Oncology and Radiotherapy, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Peter Vajkoczy
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Gueliz Acker
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Department of Radiation Oncology and Radiotherapy, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| |
Collapse
|
3
|
Vulasala SS, Sutphin P, Shyn P, Kalva S. Intraoperative Imaging Techniques in Oncology. Clin Oncol (R Coll Radiol) 2024; 36:e255-e268. [PMID: 38242817 DOI: 10.1016/j.clon.2024.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 01/05/2024] [Indexed: 01/21/2024]
Abstract
Imaging-based procedures have become well integrated into the diagnosis and management of oncological patients and play a significant role in reducing morbidity and mortality rates. Here we describe the established and upcoming surgical oncological imaging techniques and their impact on cancer management.
Collapse
Affiliation(s)
- S S Vulasala
- Department of Radiology, University of Florida College of Medicine, Jacksonville, Florida, USA.
| | - P Sutphin
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - P Shyn
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - S Kalva
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| |
Collapse
|
4
|
Günay B, Uslu B, Çelik AO, Korkmaz S, Ustabaşıoğlu FE, Solak S, Kula O, Tunçbilek N. The Role of Superb Microvascular Imaging and Shear Wave Elastography in the Prediction of Hemorrhage Complications After Renal Parenchyma Biopsy. Ultrasound Q 2023; 39:242-249. [PMID: 37918031 DOI: 10.1097/ruq.0000000000000656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2023]
Abstract
OBJECTIVES The aim of study was to evaluate the diagnostic utility of the renal parenchyma elasticity with the shear wave elastography (SWE) and microvascularization with the superb microvascular imaging (SMI) technique before kidney biopsy and to predict the complication of hemorrhage before kidney biopsy. METHODS A total of 75 patients were included in the prospective study. Before the biopsy, vascularity features of the kidney parenchyma in the area to be biopsied were assessed by SMI and parenchymal stiffness by SWE and were examined by 2 independent radiologists. RESULTS A statistically significant difference was found in the SMI and SWE values between the groups with and without hematoma and hematuria when compared with the Student t test and Mann-Whitney U test ( P < 0.05). The SWE hardness cutoff value, which maximizes the prediction of the development of hematuria, was found to be 18.40 kPa, and the sensitivity and specificity values were 84.4% and 62.8%, respectively. In SMI vascularity index values, the cutoff value was found to be 0.247410800 kPa, and sensitivity and specificity values were 81.3% and 83.7%, respectively. The cutoff value of the SMI vascularity index values that maximized the prediction of hematoma development was 0.297009650, and the sensitivity and specificity values were 87% and 87%, respectively. CONCLUSIONS We believe that evaluating and standardizing the microvascularization and elasticity of the kidney parenchyma before a percutaneous kidney biopsy will be potentially useful as a guiding method in the prediction of postbiopsy hemorrhage development.
Collapse
Affiliation(s)
- Burak Günay
- Department of Radiology, Trakya University Faculty of Medicine, Edirne
| | - Burak Uslu
- Department of Radiology, Yüksekova State Hospital, Hakkari
| | | | - Selçuk Korkmaz
- Department of Biostatistics and Medical Informatics, Trakya University Faculty of Medicine, Edirne, Turkey
| | | | - Serdar Solak
- Department of Radiology, Trakya University Faculty of Medicine, Edirne
| | - Osman Kula
- Department of Radiology, Trakya University Faculty of Medicine, Edirne
| | - Nermin Tunçbilek
- Department of Radiology, Trakya University Faculty of Medicine, Edirne
| |
Collapse
|
6
|
Floridi C, Cellina M, Irmici G, Bruno A, Rossini N, Borgheresi A, Agostini A, Bruno F, Arrigoni F, Arrichiello A, Candelari R, Barile A, Carrafiello G, Giovagnoni A. Precision Imaging Guidance in the Era of Precision Oncology: An Update of Imaging Tools for Interventional Procedures. J Clin Med 2022; 11:4028. [PMID: 35887791 PMCID: PMC9322069 DOI: 10.3390/jcm11144028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/02/2022] [Accepted: 07/08/2022] [Indexed: 02/05/2023] Open
Abstract
Interventional oncology (IO) procedures have become extremely popular in interventional radiology (IR) and play an essential role in the diagnosis, treatment, and supportive care of oncologic patients through new and safe procedures. IR procedures can be divided into two main groups: vascular and non-vascular. Vascular approaches are mainly based on embolization and concomitant injection of chemotherapeutics directly into the tumor-feeding vessels. Percutaneous approaches are a type of non-vascular procedures and include percutaneous image-guided biopsies and different ablation techniques with radiofrequency, microwaves, cryoablation, and focused ultrasound. The use of these techniques requires precise imaging pretreatment planning and guidance that can be provided through different imaging techniques: ultrasound, computed tomography, cone-beam computed tomography, and magnetic resonance. These imaging modalities can be used alone or in combination, thanks to fusion imaging, to further improve the confidence of the operators and the efficacy and safety of the procedures. This article aims is to provide an overview of the available IO procedures based on clinical imaging guidance to develop a targeted and optimal approach to cancer patients.
Collapse
Affiliation(s)
- Chiara Floridi
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (A.B.); (N.R.); (A.A.); (A.G.)
- Division of Special and Pediatric Radiology, Department of Radiology, University Hospital “Umberto I—Lancisi—Salesi”, 60126 Ancona, Italy;
- Division of Interventional Radiology, Department of Radiological Sciences, University Politecnica Delle Marche, 60126 Ancona, Italy;
| | - Michaela Cellina
- Radiology Department, Fatebenefratelli Hospital, ASST Fatebenefratelli Sacco, 20122 Milan, Italy;
| | - Giovanni Irmici
- Post-Graduation School in Radiodiagnostics, Università degli Studi di Milano, 20122 Milan, Italy; (G.I.); (A.A.)
| | - Alessandra Bruno
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (A.B.); (N.R.); (A.A.); (A.G.)
| | - Nicolo’ Rossini
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (A.B.); (N.R.); (A.A.); (A.G.)
| | - Alessandra Borgheresi
- Division of Special and Pediatric Radiology, Department of Radiology, University Hospital “Umberto I—Lancisi—Salesi”, 60126 Ancona, Italy;
| | - Andrea Agostini
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (A.B.); (N.R.); (A.A.); (A.G.)
| | - Federico Bruno
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (F.B.); (A.B.)
| | - Francesco Arrigoni
- Emergency and Interventional Radiology, San Salvatore Hospital, 67100 L’Aquila, Italy;
| | - Antonio Arrichiello
- Post-Graduation School in Radiodiagnostics, Università degli Studi di Milano, 20122 Milan, Italy; (G.I.); (A.A.)
| | - Roberto Candelari
- Division of Interventional Radiology, Department of Radiological Sciences, University Politecnica Delle Marche, 60126 Ancona, Italy;
| | - Antonio Barile
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (F.B.); (A.B.)
| | - Gianpaolo Carrafiello
- Operative Unit of Radiology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, 20122 Milan, Italy;
- Department of Health Sciences, Università degli Studi di Milano, 20122 Milan, Italy
| | - Andrea Giovagnoni
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (A.B.); (N.R.); (A.A.); (A.G.)
- Division of Special and Pediatric Radiology, Department of Radiology, University Hospital “Umberto I—Lancisi—Salesi”, 60126 Ancona, Italy;
| |
Collapse
|