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Vulasala SS, Virarkar M, Karbasian N, Calimano-Ramirez LF, Daoud T, Amini B, Bhosale P, Javadi S. Whole-body MRI in oncology: A comprehensive review. Clin Imaging 2024; 108:110099. [PMID: 38401295 DOI: 10.1016/j.clinimag.2024.110099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 01/28/2024] [Accepted: 01/31/2024] [Indexed: 02/26/2024]
Abstract
Whole-Body Magnetic Resonance Imaging (WB-MRI) has cemented its position as a pivotal tool in oncological diagnostics. It offers unparalleled soft tissue contrast resolution and the advantage of sidestepping ionizing radiation. This review explores the diverse applications of WB-MRI in oncology. We discuss its transformative role in detecting and diagnosing a spectrum of cancers, emphasizing conditions like multiple myeloma and cancers with a proclivity for bone metastases. WB-MRI's capability to encompass the entire body in a singular scan has ushered in novel paradigms in cancer screening, especially for individuals harboring hereditary cancer syndromes or at heightened risk for metastatic disease. Additionally, its contribution to the clinical landscape, aiding in the holistic management of multifocal and systemic malignancies, is explored. The article accentuates the technical strides achieved in WB-MRI, its myriad clinical utilities, and the challenges in integration into standard oncological care. In essence, this review underscores the transformative potential of WB-MRI, emphasizing its promise as a cornerstone modality in shaping the future trajectory of cancer diagnostics and treatment.
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Affiliation(s)
- Sai Swarupa Vulasala
- Department of Radiology, University of Florida College of Medicine, Jacksonville, FL, United States.
| | - Mayur Virarkar
- Department of Radiology, University of Florida College of Medicine, Jacksonville, FL, United States
| | - Niloofar Karbasian
- Department of Radiology, McGovern Medical School at University of Texas Health Houston, Houston, TX, United States
| | - Luis F Calimano-Ramirez
- Department of Radiology, University of Florida College of Medicine, Jacksonville, FL, United States
| | - Taher Daoud
- Division of Diagnostic Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Behrang Amini
- Division of Diagnostic Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Priya Bhosale
- Division of Diagnostic Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Sanaz Javadi
- Division of Diagnostic Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States
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Gao M, Bhosale P, Devine C, Palmquist S, Javadi S. US, MRI, CT Performance and Interpretation of Uterine Masses. Semin Ultrasound CT MR 2023; 44:541-559. [PMID: 37821051 DOI: 10.1053/j.sult.2023.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/13/2023]
Abstract
Uterine masses are commonly encountered as incidental findings during cross-sectional imaging or when individuals present with symptoms such as pain and bleeding. The World Health Organization categorizes tumors of the uterine corpus into 5 distinct groups: endometrial epithelial tumors and their precursors, tumor-like growths, mesenchymal uterine tumors, tumors with a combination of epithelial and mesenchymal elements, and various other types of tumors. The primary imaging method for assessing uterine abnormalities is transvaginal ultrasound. However, magnetic resonance imaging (MRI) can be employed to enhance the visualization of soft tissues, enabling a more detailed characterization of uterine masses. This article aims to outline the imaging features of both benign and malignant uterine masses using ultrasound, MRI, and computed tomography.
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Affiliation(s)
- Mamie Gao
- University of Texas MD Anderson Cancer Center, Houston, TX.
| | - Priya Bhosale
- University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - Sanaz Javadi
- University of Texas MD Anderson Cancer Center, Houston, TX
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Ferreira Dalla Pria HR, Sharbidre KG, Virarkar M, Javadi S, Bhosale H, Maxwell J, Lall C, Morani AC. Imaging Update for Hereditary Abdominopelvic Neuroendocrine Neoplasms. J Comput Assist Tomogr 2023:00004728-990000000-00251. [PMID: 37832535 DOI: 10.1097/rct.0000000000001547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2023]
Abstract
ABSTRACT Neuroendocrine neoplasms have shown a linear increase in incidence and prevalence in recent decades, primarily due to improved cross-sectional imaging, expanded use of endoscopic procedures, and advanced genetic analysis. However, diagnosis of hereditary neuroendocrine tumors is still challenging because of heterogeneity in their presentation, the variety of tumor locations, and multiple associated syndromes. Radiologists should be familiar with the spectrum of these tumors and associated hereditary syndromes. Furthermore, as the assessment of multiple tumor elements such as morphology, biochemical markers, and presence of metastatic disease are essential for the treatment plan, conventional anatomic and functional imaging methods are fundamental in managing and surveilling these cases. Our article illustrates the role of different cross-sectional imaging modalities in diagnosing and managing various hereditary abdominopelvic neuroendocrine tumors.
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Affiliation(s)
| | - Kedar G Sharbidre
- Abdominal Imaging Section, Department of Radiology, University of Alabama at Birmingham, AL
| | - Mayur Virarkar
- Department of Radiology, University of Florida College of Medicine-Jacksonville, FL
| | - Sanaz Javadi
- Department of Abdominal Imaging, Division of Diagnostic Imaging
| | | | - Jessica Maxwell
- Department of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Chandana Lall
- Department of Radiology, University of Florida College of Medicine-Jacksonville, FL
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Saleh M, Virarkar M, Javadi S, Mathew M, Vulasala SSR, Son JB, Sun J, Bayram E, Wang X, Ma J, Szklaruk J, Bhosale P. A Feasibility Study on Deep Learning Reconstruction to Improve Image Quality With PROPELLER Acquisition in the Setting of T2-Weighted Gynecologic Pelvic Magnetic Resonance Imaging. J Comput Assist Tomogr 2023; 47:721-728. [PMID: 37707401 DOI: 10.1097/rct.0000000000001491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVES Evaluate deep learning (DL) to improve the image quality of the PROPELLER (Periodically Rotated Overlapping Parallel Lines with Enhanced Reconstruction technique) for 3 T magnetic resonance imaging of the female pelvis. METHODS Three radiologists prospectively and independently compared non-DL and DL PROPELLER sequences from 20 patients with a history of gynecologic malignancy. Sequences with different noise reduction factors (DL 25%, DL 50%, and DL 75%) were blindly reviewed and scored based on artifacts, noise, relative sharpness, and overall image quality. The generalized estimating equation method was used to assess the effect of methods on the Likert scales. Quantitatively, the contrast-to-noise ratio and signal-to-noise ratio (SNR) of the iliac muscle were calculated, and pairwise comparisons were performed based on a linear mixed model. P values were adjusted using the Dunnett method. Interobserver agreement was assessed using the κ statistic. P value was considered statistically significant at less than 0.05. RESULTS Qualitatively, DL 50 and DL 75 were ranked as the best sequences in 86% of cases. Images generated by the DL method were significantly better than non-DL images ( P < 0.0001). Iliacus muscle SNR on DL 50 and DL 75 was significantly better than non-DL images ( P < 0.0001). There was no difference in contrast-to-noise ratio between the DL and non-DL techniques in the iliac muscle. There was a high percent agreement (97.1%) in terms of DL sequences' superior image quality (97.1%) and sharpness (100%) relative to non-DL images. CONCLUSION The utilization of DL reconstruction improves the image quality of PROPELLER sequences with improved SNR quantitatively.
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Affiliation(s)
- Mohammed Saleh
- From the Department of Internal Medicine, University of Texas health Science Center at Houston, Houston, TX
| | - Mayur Virarkar
- Department of Diagnostic Radiology, University of Florida College of Medicine, Jacksonville, FL
| | - Sanaz Javadi
- Department of Abdominal Imaging, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Manoj Mathew
- Department of Radiology, Stanford University, Stanford, CA
| | | | | | - Jia Sun
- Biostatistics, University of Texas MD Anderson Cancer Center
| | - Ersin Bayram
- Global MR Applications and Workflow, GE Healthcare, Houston, TX
| | - Xinzeng Wang
- Global MR Applications and Workflow, GE Healthcare, Houston, TX
| | | | - Janio Szklaruk
- Department of Diagnostic Radiology, University of Florida College of Medicine, Jacksonville, FL
| | - Priya Bhosale
- Department of Diagnostic Radiology, University of Florida College of Medicine, Jacksonville, FL
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Foster KI, Handley KF, Glassman D, Sims TT, Javadi S, Palmquist SM, Saleh MM, Fellman BM, Fleming ND, Bhosale PR, Sood AK. Characterizing morphologic subtypes of high-grade serous ovarian cancer by CT: a retrospective cohort study. Int J Gynecol Cancer 2023:ijgc-2022-004206. [PMID: 36948527 DOI: 10.1136/ijgc-2022-004206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/24/2023] Open
Abstract
OBJECTIVE A novel classification system of high-grade serous ovarian carcinoma based on gross morphology observed at pre-treatment laparoscopy was recently defined. The purpose of this study was to identify radiographic features unique to each morphologic subtype. METHODS This retrospective study included 109 patients with high-grade serous ovarian cancer who underwent pre-operative computed tomography (CT) scanning and laparoscopic assessment of disease burden between 1 April 2013 and 5 August 2015. Gross morphologic subtype had been previously assigned by laparoscopy. Two radiologists independently reviewed CT images for each patient, categorized disease at eight anatomic sites, and assessed for radiographic characteristics of interest: large infiltrative plaques, mass-like metastases, enhancing peritoneal lining, architectural distortion, fat stranding, calcifications, and lymph node involvement. Demographic and clinical information was summarized with descriptive statistics and compared using Student's t-tests, χ² tests, or Fisher exact tests as appropriate; kappa statistics were used to assess inter-reader agreement. RESULTS Certain radiographic features were found to be associated with gross morphologic subtype. Large infiltrative plaques were more common in type 1 disease (88.7% (47/53) vs 71.4% (25/35), p=0.04), while mass-like metastases were more often present in type 2 disease (48.6% (17/35) vs 22.6% (12/53), p=0.01). Additionally, radiographic presence of disease at the falciform ligament was more common in type 1 morphology (33.9% (19/56) vs 13.2% (5/38), p=0.02). CONCLUSION Morphologic subtypes of high-grade serous ovarian cancer were associated with specific CT findings, including the presence of large infiltrative plaques, mass-like metastases, and falciform ligament involvement.
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Affiliation(s)
- Katherine I Foster
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Katelyn F Handley
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Division of Gynecologic Oncology, University of South Florida Morsani College of Medicine, Tampa, Florida, USA
- Department of Gynecologic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Deanna Glassman
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Travis T Sims
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Sanaz Javadi
- Department of Diagnostic Radiology - Body Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Sarah M Palmquist
- Abdominal Imaging Department, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Mohammed M Saleh
- Abdominal Imaging Department, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Radiology, University of California San Diego, San Diego, California, USA
| | - Bryan M Fellman
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Nicole D Fleming
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Priya R Bhosale
- Abdominal Imaging Department, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Anil K Sood
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
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Nguyen T, Bhosale PR, Cassia L, Surabhi V, Javadi S, Milbourne A, Faria SC. Malignancy in pregnancy: Multimodality imaging and treatment. Cancer 2023; 129:1479-1491. [PMID: 36907983 DOI: 10.1002/cncr.34688] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 07/25/2022] [Accepted: 08/30/2022] [Indexed: 03/14/2023]
Abstract
The diagnosis of cancer is increasingly made in the pregnant population, thought to be from the increasing average age of pregnancy and the use of prenatal fetal noninvasive screening techniques, leading to incidental detection of cancer in the mother. Complex challenges are associated with imaging, diagnosis, staging, and treatment of cancers in this patient population, which require highly specialized interdisciplinary management. This report discusses the use of multimodality imaging and safety considerations in pregnant patients, reviews the current guidelines for ionizing radiation imaging techniques, and presents a series of commonly and uncommonly encountered cancers in pregnancy with current diagnostic imaging guidelines. The authors also discuss the role of multidisciplinary management and treatment options and provide an overview of therapy-related considerations in the age of novel anticancer therapies. PLAIN LANGUAGE SUMMARY: The diagnosis and management of pregnant patients who have cancer are actively evolving as novel imaging techniques and anticancer therapies are being developed. Radiologically, there are inherent difficulties in balancing the minimization of fetal ionization while acquiring diagnostic quality imaging necessary for the diagnosis, staging, and treatment of maternal disease. Standardized imaging protocols are still being developed, with evolving imaging guidelines coupled with rapidly expanding research and development of novel anticancer therapies, which come with their side effects and complications. Caring for this patient population is especially challenging and requires specialized multidisciplinary attention.
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Affiliation(s)
- Trinh Nguyen
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Priya R Bhosale
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Lorena Cassia
- Diagnostics Center, Hospital DF Star-Rede D'Or Sao Luis, Brasilia, Brazil
| | - Venkateswar Surabhi
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Sanaz Javadi
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Andrea Milbourne
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Silvana C Faria
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
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Badawy M, Revzin MV, Consul N, Soliman M, Ganeshan DM, Heymann JC, Gaballah AH, Rao Korivi B, Morani AC, Javadi S, Elsayes KM. Paraneoplastic Syndromes from Head to Toe: Pathophysiology, Imaging Features, and Workup. Radiographics 2023; 43:e220085. [PMID: 36795597 DOI: 10.1148/rg.220085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
Patients often have symptoms due to the mass effect of a neoplasm on surrounding tissues or the development of distant metastases. However, some patients may present with clinical symptoms that are not attributable to direct tumor invasion. In particular, certain tumors may release substances such as hormones or cytokines or trigger an immune cross-reactivity between malignant and normal body cells, resulting in characteristic clinical features that are broadly referred to as paraneoplastic syndromes (PNSs). Recent advances in medicine have improved the understanding of the pathogenesis of PNSs and enhanced their diagnosis and treatment. It is estimated that 8% of patients with cancer develop a PNS. Diverse organ systems may be involved, most notably the neurologic, musculoskeletal, endocrinologic, dermatologic, gastrointestinal, and cardiovascular systems. Knowledge of various PNSs is necessary, as these syndromes may precede tumor development, complicate the patient's clinical presentation, indicate tumor prognosis, or be mistaken for metastatic spread. Radiologists should be familiar with the clinical presentations of common PNSs and the selection of appropriate imaging examinations. Many of these PNSs have imaging features that can assist with arriving at the correct diagnosis. Therefore, the key radiographic findings associated with these PNSs and the diagnostic pitfalls that can be encountered during imaging are important, as their detection can facilitate early identification of the underlying tumor, reveal early recurrence, and enable monitoring of the patient's response to therapy. © RSNA, 2023 Quiz questions for this article are available in the supplemental material.
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Affiliation(s)
- Mohamed Badawy
- From the Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (M.B., D.M.G., B.R.K., A.C.M., S.J., K.M.E.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Diagnostic Radiology, Baylor College of Medicine, Houston, Tex (N.C.); Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (M.S.); Department of Diagnostic Radiology, University of Texas Medical Branch, Galveston, Tex (J.C.H.); and Department of Radiology, University of Missouri School of Medicine, Columbia, Mo (A.H.G.)
| | - Margarita V Revzin
- From the Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (M.B., D.M.G., B.R.K., A.C.M., S.J., K.M.E.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Diagnostic Radiology, Baylor College of Medicine, Houston, Tex (N.C.); Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (M.S.); Department of Diagnostic Radiology, University of Texas Medical Branch, Galveston, Tex (J.C.H.); and Department of Radiology, University of Missouri School of Medicine, Columbia, Mo (A.H.G.)
| | - Nikita Consul
- From the Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (M.B., D.M.G., B.R.K., A.C.M., S.J., K.M.E.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Diagnostic Radiology, Baylor College of Medicine, Houston, Tex (N.C.); Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (M.S.); Department of Diagnostic Radiology, University of Texas Medical Branch, Galveston, Tex (J.C.H.); and Department of Radiology, University of Missouri School of Medicine, Columbia, Mo (A.H.G.)
| | - Moataz Soliman
- From the Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (M.B., D.M.G., B.R.K., A.C.M., S.J., K.M.E.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Diagnostic Radiology, Baylor College of Medicine, Houston, Tex (N.C.); Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (M.S.); Department of Diagnostic Radiology, University of Texas Medical Branch, Galveston, Tex (J.C.H.); and Department of Radiology, University of Missouri School of Medicine, Columbia, Mo (A.H.G.)
| | - Dhakshina M Ganeshan
- From the Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (M.B., D.M.G., B.R.K., A.C.M., S.J., K.M.E.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Diagnostic Radiology, Baylor College of Medicine, Houston, Tex (N.C.); Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (M.S.); Department of Diagnostic Radiology, University of Texas Medical Branch, Galveston, Tex (J.C.H.); and Department of Radiology, University of Missouri School of Medicine, Columbia, Mo (A.H.G.)
| | - John C Heymann
- From the Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (M.B., D.M.G., B.R.K., A.C.M., S.J., K.M.E.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Diagnostic Radiology, Baylor College of Medicine, Houston, Tex (N.C.); Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (M.S.); Department of Diagnostic Radiology, University of Texas Medical Branch, Galveston, Tex (J.C.H.); and Department of Radiology, University of Missouri School of Medicine, Columbia, Mo (A.H.G.)
| | - Ayman H Gaballah
- From the Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (M.B., D.M.G., B.R.K., A.C.M., S.J., K.M.E.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Diagnostic Radiology, Baylor College of Medicine, Houston, Tex (N.C.); Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (M.S.); Department of Diagnostic Radiology, University of Texas Medical Branch, Galveston, Tex (J.C.H.); and Department of Radiology, University of Missouri School of Medicine, Columbia, Mo (A.H.G.)
| | - Brinda Rao Korivi
- From the Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (M.B., D.M.G., B.R.K., A.C.M., S.J., K.M.E.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Diagnostic Radiology, Baylor College of Medicine, Houston, Tex (N.C.); Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (M.S.); Department of Diagnostic Radiology, University of Texas Medical Branch, Galveston, Tex (J.C.H.); and Department of Radiology, University of Missouri School of Medicine, Columbia, Mo (A.H.G.)
| | - Ajaykumar C Morani
- From the Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (M.B., D.M.G., B.R.K., A.C.M., S.J., K.M.E.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Diagnostic Radiology, Baylor College of Medicine, Houston, Tex (N.C.); Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (M.S.); Department of Diagnostic Radiology, University of Texas Medical Branch, Galveston, Tex (J.C.H.); and Department of Radiology, University of Missouri School of Medicine, Columbia, Mo (A.H.G.)
| | - Sanaz Javadi
- From the Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (M.B., D.M.G., B.R.K., A.C.M., S.J., K.M.E.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Diagnostic Radiology, Baylor College of Medicine, Houston, Tex (N.C.); Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (M.S.); Department of Diagnostic Radiology, University of Texas Medical Branch, Galveston, Tex (J.C.H.); and Department of Radiology, University of Missouri School of Medicine, Columbia, Mo (A.H.G.)
| | - Khaled M Elsayes
- From the Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (M.B., D.M.G., B.R.K., A.C.M., S.J., K.M.E.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Diagnostic Radiology, Baylor College of Medicine, Houston, Tex (N.C.); Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (M.S.); Department of Diagnostic Radiology, University of Texas Medical Branch, Galveston, Tex (J.C.H.); and Department of Radiology, University of Missouri School of Medicine, Columbia, Mo (A.H.G.)
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Galgano SJ, Morani AC, Gopireddy DR, Sharbidre K, Bates DDB, Goenka AH, Arif-Tiwari H, Itani M, Iravani A, Javadi S, Faria S, Lall C, Bergsland E, Verma S, Francis IR, Halperin DM, Chatterjee D, Bhosale P, Yano M. Pancreatic neuroendocrine neoplasms: a 2022 update for radiologists. Abdom Radiol (NY) 2022; 47:3962-3970. [PMID: 35244755 DOI: 10.1007/s00261-022-03466-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 02/17/2022] [Accepted: 02/18/2022] [Indexed: 01/18/2023]
Abstract
Pancreatic neuroendocrine neoplasms (PaNENs) are a unique group of pancreatic neoplasms with a wide range of clinical presentations and behaviors. Given their heterogeneous appearance and increasing detection on cross-sectional imaging, it is essential that radiologists understand the variable presentation and distinctions PaNENs display compared to other pancreatic neoplasms. Additionally, some of these neoplasms may be hormonally functional, and it is imperative that radiologists be aware of the common clinical presentations of hormonally active PaNENs. Knowledge of PaNEN pathology and treatments may influence which imaging modality is optimal for each patient. Each imaging modality used for PaNENs has distinct advantages and disadvantages, particularly in different treatment settings. Thus, the focus of this manuscript is to provide an update for the radiologist on PaNEN pathology, imaging, and treatments.
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Affiliation(s)
- Samuel J Galgano
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA.
| | | | - Dheeraj R Gopireddy
- Department of Radiology, University of Florida-Jacksonville, Jacksonville, FL, USA
| | - Kedar Sharbidre
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - David D B Bates
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ajit H Goenka
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Hina Arif-Tiwari
- Department of Radiology, University of Arizona-Tuscon, Tuscon, AZ, USA
| | - Malak Itani
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Amir Iravani
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Sanaz Javadi
- Department of Radiology, M.D. Anderson Cancer Center, Houston, TX, USA
| | - Silvana Faria
- Department of Radiology, M.D. Anderson Cancer Center, Houston, TX, USA
| | - Chandana Lall
- Department of Radiology, University of Florida-Jacksonville, Jacksonville, FL, USA
| | - Emily Bergsland
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Sadhna Verma
- Department of Radiology, University of Cincinnati, Cincinnati, OH, USA
| | - Isaac R Francis
- Department of Radiology, Michigan Medicine, Ann Arbor, MI, USA
| | - Daniel M Halperin
- Department of Gastrointestinal Medical Oncology, M.D. Anderson Cancer Center, Houston, TX, USA
| | - Deyali Chatterjee
- Department of Pathology, M.D. Anderson Cancer Center, Houston, TX, USA
| | - Priya Bhosale
- Department of Radiology, M.D. Anderson Cancer Center, Houston, TX, USA
| | - Motoyo Yano
- Department of Radiology, Mayo Clinic Arizona, Scottsdale, AZ, USA
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Bonde A, Andreazza Dal Lago E, Foster B, Javadi S, Palmquist S, Bhosale P. Utility of the Diffusion Weighted Sequence in Gynecological Imaging: Review Article. Cancers (Basel) 2022; 14:cancers14184468. [PMID: 36139628 PMCID: PMC9496793 DOI: 10.3390/cancers14184468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/30/2022] [Accepted: 09/08/2022] [Indexed: 11/17/2022] Open
Abstract
Simple Summary Diffusion weighted imaging (DWI) is a magnetic resonance imaging sequence with diverse clinical applications in malignant and nonmalignant gynecological conditions. It provides vital supplemental information in the diagnosis and management of various gynecological conditions. Radiologists should be aware of fundamental concepts, clinical applications and pitfalls of DWI. Additionally we briefly discuss potential scope of newer advanced techniques based on DWI including diffusion tensor imaging and diffusion-weighted whole-body imaging with background signal suppression. Abstract Functional imaging with diffusion-weighted imaging (DWI) is a complementary tool to conventional diagnostic magnetic resonance imaging sequences. It is being increasingly investigated to predict tumor response and assess tumor recurrence. We elucidate the specific technical modifications of DWI preferred for gynecological imaging, including the different b-values and planes for image acquisition. Additionally, we discuss the problems and potential pitfalls encountered during DWI interpretation and ways to overcome them. DWI has a wide range of clinical applications in malignant and non-malignant gynecological conditions. It provides supplemental information helpful in diagnosing and managing tubo-ovarian abscess, uterine fibroids, endometriosis, adnexal torsion, and dermoid. Similarly, DWI has diverse applications in gynecological oncology in diagnosis, staging, detection of recurrent disease, and tumor response assessment. Quantitative evaluation with apparent diffusion coefficient (ADC) measurement is being increasingly evaluated for correlation with various tumor parameters in managing gynecological malignancies aiding in preoperative treatment planning. Newer advanced DWI techniques of diffusion tensor imaging (DTI) and whole body DWI with background suppression (DWIBS) and their potential uses in pelvic nerve mapping, preoperative planning, and fertility-preserving surgeries are briefly discussed.
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Affiliation(s)
- Apurva Bonde
- Department of Radiology, The University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
- Correspondence:
| | | | - Bryan Foster
- Department of Radiology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Sanaz Javadi
- Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sarah Palmquist
- Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Priya Bhosale
- Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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Virarkar M, Vulasala SS, Daoud T, Javadi S, Lall C, Bhosale P. Vulvar Cancer: 2021 Revised FIGO Staging System and the Role of Imaging. Cancers (Basel) 2022; 14:2264. [PMID: 35565394 PMCID: PMC9102312 DOI: 10.3390/cancers14092264] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 04/28/2022] [Accepted: 04/29/2022] [Indexed: 01/27/2023] Open
Abstract
Vulvar cancer is a rare gynecological malignancy. It constitutes 5-8% of all gynecologic neoplasms, and squamous cell carcinoma is the most common variant. This article aims to review the etiopathogenesis revised 2021 International Federation of Gynecology and Obstetrics (FIGO) classification and emphasize imaging in the staging of vulvar cancer. The staging has been regulated by FIGO since 1969 and is subjected to multiple revisions. Previous 2009 FIGO classification is limited by the prognostic capability, which prompted the 2021 revisions and issue of a new FIGO classification. Although vulvar cancer can be visualized clinically, imaging plays a crucial role in the staging of the tumor, assessing the tumor extent, and planning the management. In addition, sentinel lymph node biopsy facilitates the histopathological staging of the draining lymph node, thus enabling early detection of tumor metastases and better survival rates.
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Affiliation(s)
- Mayur Virarkar
- Department of Diagnostic Radiology, University of Florida College of Medicine, 655 West 8th Street, C90, 2nd Floor, Clinical Center, Jacksonville, FL 32209, USA; (M.V.); (C.L.)
| | - Sai Swarupa Vulasala
- Department of Diagnostic Radiology, University of Florida College of Medicine, 655 West 8th Street, C90, 2nd Floor, Clinical Center, Jacksonville, FL 32209, USA; (M.V.); (C.L.)
| | - Taher Daoud
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA; (T.D.); (S.J.); (P.B.)
| | - Sanaz Javadi
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA; (T.D.); (S.J.); (P.B.)
| | - Chandana Lall
- Department of Diagnostic Radiology, University of Florida College of Medicine, 655 West 8th Street, C90, 2nd Floor, Clinical Center, Jacksonville, FL 32209, USA; (M.V.); (C.L.)
| | - Priya Bhosale
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA; (T.D.); (S.J.); (P.B.)
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Elsherif SB, Javadi S, Le O, Lamba N, Katz MHG, Tamm EP, Bhosale PR. Baseline CT-based Radiomic Features Aid Prediction of Nodal Positivity after Neoadjuvant Therapy in Pancreatic Cancer. Radiol Imaging Cancer 2022; 4:e210068. [PMID: 35333131 PMCID: PMC8965532 DOI: 10.1148/rycan.210068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023]
Abstract
Purpose To study the association between CT-derived textural features of pancreatic cancer and patient outcome. Materials and Methods This retrospective study evaluated 54 patients (median age, 62 years [range, 40-88 years]; 32 men) with pancreatic cancer who underwent chemoradiation followed by surgical resection and lymph node dissection from May 2012 to June 2016. Three-dimensional segmentation of the pancreatic tumor was performed on baseline dual-energy CT images: 70-keV pancreatic parenchymal phase (PPP) images and iodine material density images. Then, 15 and 19 radiomic features were extracted from each phase, respectively. Logistic regression with elastic net regularization was used to select textural features associated with outcome, and receiver operating characteristic analysis evaluated feature performance. Survival curves were generated using the Kaplan-Meier method. Results The feature of integral total (∫ T), representing the mean intensity in Hounsfield units times the contour volume in milliliters of PPP imaging (hereafter, "∫ T (HU·mL) (PPP)"), is inversely associated with posttherapy pathologic lymph node (ypN) category. A threshold ∫ T (HU·mL) (PPP) less than 507.85 predicted ypN1-2 classification with 96% sensitivity, 34% specificity, and area under the curve of 0.61. Patients with an ∫ T (HU·mL) (PPP) of less than 507.85 had decreased overall survival (median, 2.8 years) compared with patients with an ∫ T (HU·mL) (PPP) of 507.85 or greater (one event at 3.4 years) (P = .006). Patients with an ∫ T (HU·mL) (PPP) of less than 507.85 had decreased progression-free survival (median, 1.5 years) compared with patients with an ∫ T (HU·mL) (PPP) of 507.85 or greater (median, 2.7 years) (P = .001). Conclusion A CT-based radiomic signature may help predict ypN category in patients with pancreatic cancer. Keywords: CT-Dual Energy, Abdomen/GI, Pancreas, Tumor Response, Outcomes Analysis © RSNA, 2022 Supplemental material is available for this article.
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Saleh M, Javadi S, Elsherif S, Patnana M, Sagebiel TL, Torres-Cabala C, Mattei J, Bhosale P, Faria SC. Multimodality Imaging and Genetics of Primary Mucosal Melanomas and Response to Treatment. Radiographics 2022; 42:E81. [PMID: 35230922 DOI: 10.1148/rg.229005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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13
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Saleh M, Virarkar M, Javadi S, Palmquist SM, Bhosale PR. PET imaging in cervical and uterine cancers. Nucl Med Mol Imaging 2022. [DOI: 10.1016/b978-0-12-822960-6.00171-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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14
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Saleh M, Javadi S, Elsherif S, Patnana M, Sagebiel TL, Torres-Cabala C, Matei J, Bhosale P, Faria SC. Multimodality Imaging and Genetics of Primary Mucosal Melanomas and Response to Treatment. Radiographics 2021; 41:1954-1972. [PMID: 34678102 DOI: 10.1148/rg.2021210063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Mucosal melanomas (MMs) are rare and aggressive tumors that arise from melanocytes in the mucosal tissues that line the respiratory, gastrointestinal, and urogenital tracts. Most MMs occur during the 6th and 7th decades of life. MMs may be asymptomatic but may also cause bleeding, pain, and itching, depending on the site of origin. Because of their asymptomatic or oligosymptomatic nature and the difficulty of visualizing them in some cases, they are often advanced tumors at patient presentation. MM staging varies depending on the site of the primary tumor. A simplified staging system allows classification of clinically localized disease as stage I, regional nodal involvement as stage II, and distant metastasis as stage III. MM differs genetically from its cutaneous counterparts. Common drivers in cutaneous melanoma such as B-raf proto-oncogene serine/threonine kinase (BRAF) have a lower mutation rate in MM, whereas mutations of other genes including the KIT proto-oncogene, receptor tyrosine kinase (KIT) and splicing factor 3b subunit 1 gene (SF3B1) are more common in MM. Complete resection is the best curative option. However, surgical intervention with wide local excision and negative margins may be difficult to attain because of the local anatomy and the extent of disease. In addition, despite aggressive surgical resection, most patients develop local recurrence and metastatic disease. Recent advances in the treatment of melanoma include immunotherapy and targeted therapy. Unfortunately, MMs have a relatively poor prognosis, with an overall 5-year survival rate of 25%. Online supplemental material is available for this article. ©RSNA, 2021.
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Affiliation(s)
- Mohammed Saleh
- From the Departments of Abdominal Imaging (M.S., S.J., M.P., T.L.S., P.B., S.C.F.), Pathology (C.T.C.), Dermatology (C.T.C.), and Melanoma Oncology (J.M.), The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030-4008; and Department of Radiology, The University of Florida College of Medicine, Jacksonville, Fla (S.E.)
| | - Sanaz Javadi
- From the Departments of Abdominal Imaging (M.S., S.J., M.P., T.L.S., P.B., S.C.F.), Pathology (C.T.C.), Dermatology (C.T.C.), and Melanoma Oncology (J.M.), The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030-4008; and Department of Radiology, The University of Florida College of Medicine, Jacksonville, Fla (S.E.)
| | - Sherif Elsherif
- From the Departments of Abdominal Imaging (M.S., S.J., M.P., T.L.S., P.B., S.C.F.), Pathology (C.T.C.), Dermatology (C.T.C.), and Melanoma Oncology (J.M.), The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030-4008; and Department of Radiology, The University of Florida College of Medicine, Jacksonville, Fla (S.E.)
| | - Madhavi Patnana
- From the Departments of Abdominal Imaging (M.S., S.J., M.P., T.L.S., P.B., S.C.F.), Pathology (C.T.C.), Dermatology (C.T.C.), and Melanoma Oncology (J.M.), The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030-4008; and Department of Radiology, The University of Florida College of Medicine, Jacksonville, Fla (S.E.)
| | - Tara L Sagebiel
- From the Departments of Abdominal Imaging (M.S., S.J., M.P., T.L.S., P.B., S.C.F.), Pathology (C.T.C.), Dermatology (C.T.C.), and Melanoma Oncology (J.M.), The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030-4008; and Department of Radiology, The University of Florida College of Medicine, Jacksonville, Fla (S.E.)
| | - Carlos Torres-Cabala
- From the Departments of Abdominal Imaging (M.S., S.J., M.P., T.L.S., P.B., S.C.F.), Pathology (C.T.C.), Dermatology (C.T.C.), and Melanoma Oncology (J.M.), The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030-4008; and Department of Radiology, The University of Florida College of Medicine, Jacksonville, Fla (S.E.)
| | - Jane Matei
- From the Departments of Abdominal Imaging (M.S., S.J., M.P., T.L.S., P.B., S.C.F.), Pathology (C.T.C.), Dermatology (C.T.C.), and Melanoma Oncology (J.M.), The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030-4008; and Department of Radiology, The University of Florida College of Medicine, Jacksonville, Fla (S.E.)
| | - Priya Bhosale
- From the Departments of Abdominal Imaging (M.S., S.J., M.P., T.L.S., P.B., S.C.F.), Pathology (C.T.C.), Dermatology (C.T.C.), and Melanoma Oncology (J.M.), The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030-4008; and Department of Radiology, The University of Florida College of Medicine, Jacksonville, Fla (S.E.)
| | - Silvana C Faria
- From the Departments of Abdominal Imaging (M.S., S.J., M.P., T.L.S., P.B., S.C.F.), Pathology (C.T.C.), Dermatology (C.T.C.), and Melanoma Oncology (J.M.), The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030-4008; and Department of Radiology, The University of Florida College of Medicine, Jacksonville, Fla (S.E.)
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Klimkowski S, Ibrahim M, Ibarra Rovira JJ, Elshikh M, Javadi S, Klekers AR, Abusaif AA, Moawad AW, Ali K, Elsayes KM. Peutz-Jeghers Syndrome and the Role of Imaging: Pathophysiology, Diagnosis, and Associated Cancers. Cancers (Basel) 2021; 13:cancers13205121. [PMID: 34680270 PMCID: PMC8533703 DOI: 10.3390/cancers13205121] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 10/07/2021] [Accepted: 10/08/2021] [Indexed: 02/03/2023] Open
Abstract
Simple Summary The Peutz-Jeghers Syndrome is a rare autosomal dominant syndrome characterized by mucocutaneous pigmentations, multiple gastrointestinal hamartomatous polyps, and an elevated risk of malignancy. Awareness of various Peutz-Jeghers Syndrome imaging patterns, associated malignancies, and their complications is crucial for accurate imaging interpretation and patient management. In this manuscript, we provide an overview of this condition, associated malignancies, and imaging surveillance protocols. Abstract The Peutz-Jeghers Syndrome (PJS) is an autosomal dominant neoplastic syndrome defined by hamartomatous polyps through the gastrointestinal tract, development of characteristic mucocutaneous pigmentations, and an elevated lifetime cancer risk. The majority of cases are due to a mutation in the STK11 gene located at 19p13.3. The estimated incidence of PJS ranges from 1:50,000 to 1:200,000. PJS carries an elevated risk of malignancies including gastrointestinal, breast, lung, and genitourinary (GU) neoplasms. Patients with PJS are at a 15- to 18-fold increased malignancy risk relative to the general population. Radiologists have an integral role in the diagnosis of these patients. Various imaging modalities are used to screen for malignancies and complications associated with PJS. Awareness of various PJS imaging patterns, associated malignancies, and their complications is crucial for accurate imaging interpretation and patient management. In this manuscript, we provide a comprehensive overview of PJS, associated malignancies, and surveillance protocols.
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Affiliation(s)
- Sergio Klimkowski
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77555, USA; (J.J.I.R.); (S.J.); (A.R.K.); (A.A.A.)
- Correspondence: (S.K.); (K.M.E.)
| | - Mohamed Ibrahim
- Department of Diagnostic and Interventional Radiology, University of Kansas-Wichita, Wichita, KS 67214, USA; (M.I.); (K.A.)
| | - Juan J. Ibarra Rovira
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77555, USA; (J.J.I.R.); (S.J.); (A.R.K.); (A.A.A.)
| | - Mohamed Elshikh
- Department of Diagnostic and Interventional Radiology, The University of Texas Medica Branch, Galveston, TX 77555, USA;
| | - Sanaz Javadi
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77555, USA; (J.J.I.R.); (S.J.); (A.R.K.); (A.A.A.)
| | - Albert R. Klekers
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77555, USA; (J.J.I.R.); (S.J.); (A.R.K.); (A.A.A.)
| | - Abdelraham A. Abusaif
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77555, USA; (J.J.I.R.); (S.J.); (A.R.K.); (A.A.A.)
| | - Ahmed W. Moawad
- Department of Diagnostic and Interventional Radiology, Mercy Catholic Health System, Darby, PA 19023, USA;
| | - Kamran Ali
- Department of Diagnostic and Interventional Radiology, University of Kansas-Wichita, Wichita, KS 67214, USA; (M.I.); (K.A.)
| | - Khaled M. Elsayes
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77555, USA; (J.J.I.R.); (S.J.); (A.R.K.); (A.A.A.)
- Correspondence: (S.K.); (K.M.E.)
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16
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Le O, Javadi S, Bhosale PR, Koay EJ, Katz MH, Sun J, Yang W, Tamm EP. CT features predictive of nodal positivity at surgery in pancreatic cancer patients following neoadjuvant therapy in the setting of dual energy CT. Abdom Radiol (NY) 2021; 46:2620-2627. [PMID: 33471129 DOI: 10.1007/s00261-020-02917-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 12/10/2020] [Accepted: 12/12/2020] [Indexed: 01/19/2023]
Abstract
PURPOSE Evaluate utility of dual energy CT iodine material density images to identify preoperatively nodal positivity in pancreatic cancer patients who underwent neoadjuvant therapy. METHODS This IRB approved retrospective study evaluated 62 patients between 2012 and 2016 with proven pancreatic ductal adenocarcinoma, who underwent neoadjuvant therapy, tumor resection and both baseline and preoperative assessment with pancreatic multiphasic rapid switching dual energy CT. Three radiologists in consensus identified on imaging nodes > 0.5 cm in short axis, evaluated nodal morphology, size and on each phase density in HU, and concentrations on iodine material density images normalized to the aorta. RESULTS Of 62 patients, 33 were N0, 20 N1, and 9 N2. Total of 145 lymph nodes were evaluated, with average number of nodes per anatomic site ranging from 1.3 (body tumors) to 5 (uncinate) versus average of 24 and 30 nodes recovered respectively at surgery. Most (N = 44) were pancreatic head tumors. For all patients, regardless of site of primary tumor, the minimum measured iodine value of all of a patient's measured nodes taken as a group on preoperative studies, as normalized to the aorta, was significant at P = 0.041 value in differentiating N0 from N1/2 and ROC analysis showed an AUC of 0.67. With a cutoff of 0.2857, sensitivity was 0.78 and specificity was 0.58, with values < 0.2857 indicative of N1/2. Node morphology and changes in nodal size weren't statistically significant. CONCLUSION The dual energy based minimum normalized iodine value of all nodes in the surgical field on preoperative studies has modest utility in differentiating N0 from N1/2, and generally outperformed conventional features for identifying nodal metastases.
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Affiliation(s)
- Ott Le
- Department of Abdominal Radiology, MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA
| | - Sanaz Javadi
- Department of Abdominal Radiology, MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA
| | - Priya R Bhosale
- Department of Abdominal Radiology, MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA
| | - Eugene J Koay
- Department of Radiation Oncology, MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA
| | - Matthew H Katz
- Division of Surgical Oncology, MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA
| | - Jia Sun
- Division of Biostatistics, MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA
| | - Wei Yang
- Department of Breast Imaging, MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA
| | - Eric P Tamm
- Department of Abdominal Radiology, MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA.
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Javadi S, Kundra V. Multiparameter MRI and Clinical Factors for Predicting Early Response to Chemoradiotherapy in Cervical Cancer. Radiol Imaging Cancer 2021; 3:e209038. [PMID: 33778762 DOI: 10.1148/rycan.2021209038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Jensen CT, Khetan R, Adkins J, Javadi S, Liu X, Sun J, Hassan SA, Morani AC. Delayed bolus-tracking trigger at CT correlates with cardiac dysfunction and suboptimal portovenous contrast phase. Abdom Radiol (NY) 2021; 46:826-835. [PMID: 32700213 PMCID: PMC7855139 DOI: 10.1007/s00261-020-02655-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 06/29/2020] [Accepted: 07/09/2020] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To assess whether delayed trigger during bolus-tracking for CT correlates with reduced heart function and suboptimal portovenous contrast phase. METHODS AND MATERIALS Patients who underwent portovenous abdominal CT using bolus-tracking and echocardiography within 2 weeks were included and excluded if there was a non-standard contrast injection. The bolus trigger time (BTT) at 100 Hounsfield units in the abdominal aorta, patient age, congestive heart failure (CHF) history, and ejection fraction were recorded. Two radiologists scored the liver contrast phase (1-5, 5 being an optimal portovenous phase). When applicable, the BTT and contrast score of the most recent comparison examination with equivalent technical parameters were also recorded. Simple linear regression (univariate) was used to test for associations with trigger time. RESULTS 114 patients with a mean age of 61 ± 15 years fulfilled criteria. The mean trigger time was 18 ± 6 s (range: 6-38 s) and the mean ejection fraction was 52 ± 12% (range: 19-69%). A longer bolus trigger had a significant correlation with reduced ejection fraction (P = 0.0018), lower hepatic contrast score (P < 0.0001), history of CHF (P = 0.0212), and older age (P = 0.0223). Contrast score differences between the study exam and available prior exams revealed score differences of 0 (n = 73), 1 (n = 15) and 2 (n = 5); these were associated, respectively, with a mean bolus trigger time difference between exams of 2 s (range, 0-6 s), 6 s (range, 1-15 s), and 11 s (range, 5-13). The P-value comparing bolus trigger time and contrast score differences was less than 0.0001. A lower ejection fraction also significantly correlated with suboptimal PV contrast phase (P < 0.0001). CONCLUSION Delayed time to trigger during bolus-tracking for CT can indicate cardiac dysfunction and may not adequately adjust to provide an optimal portovenous contrast phase.
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Affiliation(s)
- Corey T Jensen
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX, 77030-4009, USA.
| | - Rahul Khetan
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX, 77030-4009, USA
| | - Jake Adkins
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX, 77030-4009, USA
| | - Sanaz Javadi
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX, 77030-4009, USA
| | - Xinming Liu
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX, 77030-4009, USA
| | - Jia Sun
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX, 77030-4009, USA
| | - Saamir A Hassan
- Department of Cardiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX, 77030-4009, USA
| | - Ajaykumar C Morani
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX, 77030-4009, USA
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Saleh M, Virarkar M, Bura V, Valenzuela R, Javadi S, Szklaruk J, Bhosale P. Intrahepatic cholangiocarcinoma: pathogenesis, current staging, and radiological findings. Abdom Radiol (NY) 2020; 45:3662-3680. [PMID: 32417933 DOI: 10.1007/s00261-020-02559-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
To this date, it is a major oncological challenge to optimally diagnose, stage, and manage intrahepatic cholangiocarcinoma (ICC). Imaging can not only diagnose and stage ICC, but it can also guide management. Hence, imaging is indispensable in the management of ICC. In this article, we review the pathology, epidemiology, genetics, clinical presentation, staging, pathology, radiology, and treatment of ICC.
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Diab R, Virarkar M, Saleh M, Elsheif S, Javadi S, Bhosale P, Faria S. Correction to: Imaging spectrum of mesenteric masses. Abdom Radiol (NY) 2020; 45:3637. [PMID: 32683612 DOI: 10.1007/s00261-020-02634-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The original version of this article unfortunately contained a mistake. The author list was not correct in the original article. The missing co-author's name, Sherif Elsheif, has been added to show the correct and complete author list. All authors and the Editor-in-Chief agreed to the corrected author list. The original article has been corrected.
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Affiliation(s)
- Radwan Diab
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA.
| | - Mayur Virarkar
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA
| | - Mohammed Saleh
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA
| | - Sherif Elsheif
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA
| | - Sanaz Javadi
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA
| | - Priya Bhosale
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA
| | - Silvana Faria
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA
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Saleh M, Virarkar M, Bhosale P, Elsherif S, Javadi S, Faria SC. Endometrial Cancer, the Current International Federation of Gynecology and Obstetrics Staging System, and the Role of Imaging. J Comput Assist Tomogr 2020; 44:714-729. [PMID: 32842057 DOI: 10.1097/rct.0000000000001025] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Imaging plays a crucial role in the diagnosis, staging, and follow-up of endometrial cancer. Endometrial cancer is staged surgically using the International Federation of Gynecology and Obstetrics (FIGO) staging system. Preoperative imaging can complement surgical staging but is not yet considered a required component in the current FIGO staging system. Preoperative imaging can help identify some tumor characteristics and tumor spread, both locally and distally. More accurate assessment of endometrial cancers optimizes management and treatment plan, including degree of surgical intervention. In this article, we review the epidemiology, FIGO staging system, and the importance of imaging in the staging of endometrial cancer.
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Affiliation(s)
- Mohammed Saleh
- From the Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Mayur Virarkar
- From the Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Priya Bhosale
- From the Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Sherif Elsherif
- Department of Internal Medicine, Weiss Memorial Hospital, Affiliate of the University of Illinois at Chicago, Chicago, IL
| | - Sanaz Javadi
- From the Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Silvana C Faria
- From the Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
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Abstract
The discrimination of mass-forming chronic pancreatitis (MFCP) from pancreatic ductal adenocarcinoma (PDAC) is a central diagnostic dilemma. It is important to differentiate these entities since they have markedly different prognoses and management. Importantly, the appearance of these two entities significantly overlaps on a variety of imaging modalities. However, there are imaging features that may be suggestive of one entity more than the other. MFCP and PDAC may show different enhancement patterns on perfusion computed tomography (CT) and/or dynamic contrast-enhanced MRI (DCE-MRI). The duct-penetrating sign on magnetic resonance cholangiopancreatography (MRCP) is more often associated with MFCP, whereas abrupt cutoff with upstream dilatation of the main pancreatic duct and the double-duct sign (obstruction/cutoff of both the common bile duct and pancreatic duct) are more often associated with PDAC. Nevertheless, tissue sampling is the most reliable method to differentiate between these entities and is currently generally necessary for management.
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Affiliation(s)
- Sherif B Elsherif
- The Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA.
- The Department of Internal Medicine, Weiss Memorial Hospital, Affiliate of the University of Illinois at Chicago, Chicago, USA.
| | - Mayur Virarkar
- The Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA
| | - Sanaz Javadi
- The Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA
| | - Juan J Ibarra-Rovira
- The Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA
| | - Eric P Tamm
- The Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA
| | - Priya R Bhosale
- The Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA
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Saleh M, Virarkar M, Javadi S, Elsherif SB, de Castro Faria S, Bhosale P. Cervical Cancer: 2018 Revised International Federation of Gynecology and Obstetrics Staging System and the Role of Imaging. AJR Am J Roentgenol 2020; 214:1182-1195. [DOI: 10.2214/ajr.19.21819] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2023]
Affiliation(s)
- Mohammed Saleh
- Department of Diagnostic Radiology, MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030
| | - Mayur Virarkar
- Department of Diagnostic Radiology, MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030
| | - Sanaz Javadi
- Department of Diagnostic Radiology, MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030
| | - Sherif B. Elsherif
- Department of Diagnostic Radiology, MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030
| | - Silvana de Castro Faria
- Department of Diagnostic Radiology, MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030
| | - Priya Bhosale
- Department of Diagnostic Radiology, MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030
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Elbanan MG, Javadi S, Ganeshan D, Habra MA, Rao Korivi B, Faria SC, Elsayes KM. Adrenal cortical adenoma: current update, imaging features, atypical findings, and mimics. Abdom Radiol (NY) 2020; 45:905-916. [PMID: 31529204 DOI: 10.1007/s00261-019-02215-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Adrenal adenoma is the most common adrenal lesion. Due to its wide prevalence, adrenal adenomas may demonstrate various imaging features. Thus, it is important to identify typical and atypical imaging features of adrenal adenomas and to be able to differentiate atypical adrenal adenomas from potentially malignant lesions. In this article, we will discuss the diagnostic approach, typical and atypical imaging features of adrenal adenomas, as well as other lesions that mimic adrenal adenomas.
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Affiliation(s)
- Mohamed G Elbanan
- Department of Diagnostic Radiology, Yale New Haven Health System, Bridgeport Hospital, Bridgeport, CT, USA
| | - Sanaz Javadi
- Departments of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX, 77030, USA
| | - Dhakshinamoorthy Ganeshan
- Departments of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX, 77030, USA
| | - Mouhammed Amir Habra
- Department of Endocrine Neoplasia and Hormonal Disorders, University of Texas MD Anderson Cancer Center, Houston, USA
| | - Brinda Rao Korivi
- Departments of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX, 77030, USA
| | - Silvana C Faria
- Departments of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX, 77030, USA
| | - Khaled M Elsayes
- Departments of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX, 77030, USA.
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Javadi S, Elsherif S, Bhosale P, Jensen CT, Layman RR, Jacobsen MC, Le O, Jia S, Parikh RJ, Tamm EP. Quantitative attenuation accuracy of virtual non-enhanced imaging compared to that of true non-enhanced imaging on dual-source dual-energy CT. Abdom Radiol (NY) 2020; 45:1100-1109. [PMID: 32052130 DOI: 10.1007/s00261-020-02415-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
PURPOSE To evaluate the quantitative attenuation and reliability of virtual non-contrast (VNC) images of the abdomen acquired from multiphasic scans with a dual-energy computed tomography (DECT) system and compare it with that of true non-enhanced images (TNC) on second- (Flash) and third- (Force) generation DECT scanners. METHODS This retrospective study was approved by the institutional review board and included 123 patients with pancreatic cancer who had undergone routine clinical multiphasic DECT examinations at our institution using Flash and Force scanners between March and August 2017. VNC images of the abdomen were reconstructed from late arterial phase images. For every patient, regions-of-interest were defined in the aorta, fluid-containing structures (gallbladder, pleural effusion, and renal cysts > 10 mm), paravertebral muscles, subcutaneous fat, spleen, pancreas, renal cortex, and liver (eight locations) on TNC and VNC images. The mean attenuation of VNC was compared with TNC by organ for each CT scanner using an equivalence test and the Bland-Altman plot. The mean attenuations for TNC or VNC were compared between the Force and Flash CT scanners using a two-sample t test. RESULTS The VNC attenuation of organs on the Force scanner was lower than was that on the Flash, and the mean attenuation difference in different organs on the Force was closer to 0. The estimated means of TNC and VNC were equivalent for an equivalence margin of 10 on the Force scanner. CONCLUSION VNC images in DECT are a promising alternative to TNC images. In clinical scenarios in which non-enhanced CT images are required but are not available for accurate diagnosis, VNC images can potentially serve as an alternative to TNC images without the radiation exposure risks.
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Ganeshan D, Pickhardt PJ, Morani AC, Javadi S, Lubner MG, Elmohr MM, Duran C, Elsayes KM. Hepatic hemangioendothelioma: CT, MR, and FDG-PET-CT in 67 patients-a bi-institutional comprehensive cancer center review. Eur Radiol 2020; 30:2435-2442. [PMID: 32002639 DOI: 10.1007/s00330-019-06637-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 11/26/2019] [Accepted: 12/16/2019] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To evaluate the imaging features of hepatic epithelioid hemangioendothelioma (HEH) on multiphasic CT, MR, and FDG-PET-CT. METHODS Bi-institutional review identified 67 adults (mean age, 47 years; 23 M/44 F) with pathologically proven HEH and pretreatment multiphasic CT (n = 67) and/or MR (n = 30) and/or FDG-PET-CT (n = 13). RESULTS HEHs were multifocal in 88% (59/67). Mean size of the dominant mass was 4.1 cm (range, 1.4-19 cm). The tumors were located in the peripheral, subcapsular regions of the liver in 96% (64/67). Capsular retraction was present in 81% (54/67 cases) and tumors were coalescent in 61% (41/67). HEH demonstrated peripheral ring enhancement on arterial phase imaging in 33% (21/64) and target appearance on the portal venous phase in 69% (46/67). Persistent peripheral enhancement on the delayed phase was seen in 49% (31/63). On MR, multilayered target appearance was seen on the T2-weighted sequences in 67% (20/30) and on the diffusion-weighted sequences in 61% (11/18). Target appearance on hepatobiliary phase of MRI was seen in 57% (4/7). On pre-therapy FDG-PET-CT, increased FDG uptake above the background liver parenchyma was seen in 62% (8/13). CONCLUSION HEHs typically manifest as multifocal, coalescent hepatic nodules in peripheral subcapsular location, with associated capsular retraction. Peripheral arterial ring enhancement and target appearance on portal venous phase are commonly seen on CT. Similarly, multilayered target appearance correlating with its histopathological composition is typically seen on multiple sequences of MR including T2-weighted, diffusion-weighted, and dynamic contrast-enhanced multiphasic MR. KEY POINTS • Hepatic epithelioid hemangioendotheliomas manifest on CT and MR as multifocal, coalescent hepatic nodules in peripheral subcapsular location, with associated capsular retraction. • Enhancement pattern on contrast-enhanced CT and MR can vary but peripheral ring enhancement on arterial phase and target appearance on portal venous phase are commonly seen. • Retrospective two-center study showed that cross-sectional imaging may help in the diagnosis.
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Affiliation(s)
- Dhakshinamoorthy Ganeshan
- Division of Diagnostic Imaging, Body Imaging Section, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030-4009, USA.
| | - Perry J Pickhardt
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Sciences Center, 600 Highland Ave, Madison, WI, 53792, USA
| | - Ajaykumar C Morani
- Division of Diagnostic Imaging, Unit 1473, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030-4009, USA
| | - Sanaz Javadi
- Division of Diagnostic Imaging, Unit 1473, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030-4009, USA
| | - Meghan G Lubner
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Sciences Center, 600 Highland Ave, Madison, WI, 53792, USA
| | - Mohab M Elmohr
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, 3SCR2.3810, 1881 East Rd, Houston, TX, 77054, USA
| | - Cihan Duran
- Division of Diagnostic Imaging, Body Imaging Section, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030-4009, USA.,Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, 3SCR2.3810, 1881 East Rd, Houston, TX, 77054, USA
| | - Khaled M Elsayes
- Division of Diagnostic Imaging, Body Imaging Section, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030-4009, USA.,Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, 3SCR2.3810, 1881 East Rd, Houston, TX, 77054, USA
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Szklaruk J, Son JB, Wei W, Bhosale P, Javadi S, Ma J. Comparison of free breathing and respiratory triggered diffusion-weighted imaging sequences for liver imaging. World J Radiol 2019; 11:134-143. [PMID: 31798795 PMCID: PMC6885723 DOI: 10.4329/wjr.v11.i11.134] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 08/26/2019] [Accepted: 09/26/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Diffusion-weighted imaging (DWI) has become a useful tool in the detection, characterization, and evaluation of response to treatment of many cancers, including malignant liver lesions. DWI offers higher image contrast between lesions and normal liver tissue than other sequences. DWI images acquired at two or more b-values can be used to derive an apparent diffusion coefficient (ADC). DWI in the body has several technical challenges. This include ghosting artifacts, mis-registration and susceptibility artifacts. New DWI sequences have been developed to overcome some of these challenges. Our goal is to evaluate 3 new DWI sequences for liver imaging.
AIM To qualitatively and quantitatively compare 3 DWI sequences for liver imaging: free-breathing (FB), simultaneous multislice (SMS), and prospective acquisition correction (PACE).
METHODS Magnetic resonance imaging (MRI) was performed in 20 patients in this prospective study. The MR study included 3 separate DWI sequences: FB-DWI, SMS-DWI, and PACE-DWI. The image quality, mean ADC, standard deviations (SD) of ADC, and ADC histogram were compared. Wilcoxon signed-rank tests were used to compare qualitative image quality. A linear mixed model was used to compare the mean ADC and the SDs of the ADC values. All tests were 2-sided and P values of < 0.05 were considered statistically significant.
RESULTS There were 56 lesions (50 malignant) evaluated in this study. The mean qualitative image quality score of PACE-DWI was 4.48. This was significantly better than that of SMS-DWI (4.22) and FB-DWI (3.15) (P < 0.05). Quantitatively, the mean ADC values from the 3 different sequences did not significantly differ for each liver lesion. FB-DWI had a markedly higher variation in the SD of the ADC values than did SMS-DWI and PACE-DWI. We found statistically significant differences in the SDs of the ADC values for FB-DWI vs PACE-DWI (P < 0.0001) and for FB-DWI vs SMS-DWI (P = 0.03). The SD of the ADC values was not statistically significant for PACE-DWI and SMS-DWI (P = 0.18). The quality of the PACE-DWI ADC histograms were considered better than the SMS-DWI and FB-DWI.
CONCLUSION Compared to FB-DWI, both PACE-DWI and SMS-DWI provide better image quality and decreased quantitative variability in the measurement of ADC values of liver lesions.
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Affiliation(s)
- Janio Szklaruk
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States
| | - Jong Bum Son
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States
| | - Wei Wei
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States
| | - Priya Bhosale
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States
| | - Sanaz Javadi
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States
| | - Jingfei Ma
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States
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Vreeland TJ, McAllister F, Javadi S, Prakash LR, Fogelman DR, Ho L, Varadhachary G, Aloia TA, Vauthey JN, Lee JE, Kim MP, Katz MHG, Tzeng CWD. Benefit of Gemcitabine/Nab-Paclitaxel Rescue of Patients With Borderline Resectable or Locally Advanced Pancreatic Adenocarcinoma After Early Failure of FOLFIRINOX. Pancreas 2019; 48:837-843. [PMID: 31210666 PMCID: PMC7309587 DOI: 10.1097/mpa.0000000000001345] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
OBJECTIVES Neoadjuvant therapy (NT) is used for advanced pancreatic ductal adenocarcinoma (PDAC). No clear guidelines exist for switching therapies when patients do not respond to initial NT. We sought to characterize patients who underwent early switch from FOLFIRINOX to gemcitabine/nab-paclitaxel (GA) as NT for PDAC. METHODS We identified patients at a single institution switched from FOLFIRINOX to GA within the first 4 months of NT for PDAC during 2012-2017. We compared clinicopathologic data and oncologic outcomes. RESULTS Of 25 patients who met the criteria, 21 showed a serologic or radiographic response to GA; 11 (52%) reached resection. Responders had decreased carbohydrate antigen (CA) 19-9 levels from pretreatment to post-GA (P = 0.036). Resected responders had significantly decreased CA 19-9 comparing preswitch to post-GA (P = 0.048). The only predictor of GA response was prechemotherapy CA 19-9 of less than1000 U/mL (P = 0.021). Predictors of reaching resection were head/uncinate tumor (P = 0.010) and presenting stage lower than locally advanced (P = 0.041). CONCLUSIONS When patients do not respond to neoadjuvant FOLFIRINOX, early switch to GA should be considered. Future efforts should be directed toward identifying markers that will allow correct choice of initial therapy rather than attempting to rescue patients who respond poorly to first-line therapy.
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Affiliation(s)
- Timothy J Vreeland
- Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Florencia McAllister
- Department of Clinical Cancer Prevention, Department of Gastrointestinal Medical Oncology, Clinical Cancer Genetics Program, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Sanaz Javadi
- Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Laura R. Prakash
- Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX
| | - David R Fogelman
- Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Linus Ho
- Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Gauri Varadhachary
- Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX
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Abstract
Ovarian cancer accounts for the death of over 100,000 females every year and is the most lethal gynecological malignancy. Low-grade serous ovarian carcinoma (LGSOC) and high-grade serous ovarian carcinoma (HGSOC) have been found to represent two distinct entities based on their molecular differences, clinical course, and response to chemotherapy. Currently, all ovarian cancers are staged according to the revised staging system of the International Federation of Gynecology and Obstetrics (FIGO). Imaging plays an integral role in the diagnosis, staging, and follow-up of ovarian cancers. This review will be based on the two-tier grading system of epithelial ovarian cancers, with the main emphasis on serous ovarian cancer, and the role of imaging to characterize low-grade vs high-grade tumors and monitor disease recurrence during follow-up.
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Affiliation(s)
- Sherif Elsherif
- 1 Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center , Houston, TX , USA
| | - Sanaz Javadi
- 1 Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center , Houston, TX , USA
| | - Chitra Viswanathan
- 1 Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center , Houston, TX , USA
| | - Silvana Faria
- 1 Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center , Houston, TX , USA
| | - Priya Bhosale
- 1 Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center , Houston, TX , USA
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30
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Elsherif S, Odisio EGLC, Faria S, Javadi S, Yedururi S, Frumovitz M, Ramalingam P, Bhosale P. Imaging and staging of neuroendocrine cervical cancer. Abdom Radiol (NY) 2018; 43:3468-3478. [PMID: 29974177 DOI: 10.1007/s00261-018-1667-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Neuroendocrine cervical cancer (NECC) is a rare and aggressive subtype of cervical cancer, accounting for less than 2% of cervical tumors. They are divided into low-grade and high-grade tumors. High-grade NECC is associated with human papillomavirus (HPV) 18 and to a smaller extent type 16. The most common molecular alterations in NECC include PIK3CA, KRAS, and TP53 mutations. Immunohistochemical staining for CD56, synaptophysin, and chromogranin is a helpful tool in the diagnosis. NECCs pose a significant clinical and therapeutic challenge because of their aggressive nature which is explained by their tendency towards early nodal and hematogenous spread. They have a median survival of 21-22 months, compared to 10 years in cervical squamous cell carcinomas. NECCs have a homogeneous high T2 signal intensity, homogeneous contrast enhancement and lower ADC values in MRI, compared to non-neuroendocrine tumors of the cervix. It is recommended to treat NECC with a multimodality therapeutic approach combining radical hysterectomy, systemic chemotherapy, and radiotherapy. The objective of this manuscript is to address the pathogenesis of NECC, elaborate the role of radiological imaging in the diagnosis and staging of NECCs, evaluate their prognosis, and summarize the suggested management plans for this lethal disease.
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31
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Javadi S, Menias CO, Karbasian N, Shaaban A, Shah K, Osman A, Jensen CT, Lubner MG, Gaballah AH, Elsayes KM. HIV-related Malignancies and Mimics: Imaging Findings and Management. Radiographics 2018; 38:2051-2068. [PMID: 30339518 DOI: 10.1148/rg.2018180149] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The risk of developing malignancy is higher in patients with human immunodeficiency virus (HIV) infection than in non-HIV-infected patients. Several factors including immunosuppression, viral coinfection, and high-risk lifestyle choices lead to higher rates of cancer in the HIV-infected population. A subset of HIV-related malignancies are considered to be acquired immunodeficiency syndrome (AIDS)-defining malignancies, as their presence confirms the diagnosis of AIDS in an HIV-infected patient. The introduction of highly active antiretroviral therapy (HAART) has led to a significant drop in the rate of AIDS-defining malignancies, including Kaposi sarcoma, non-Hodgkin lymphoma, and invasive cervical carcinoma. However, non-AIDS-defining malignancies (eg, Hodgkin lymphoma, lung cancer, hepatocellular carcinoma, and head and neck cancers) now account for an increasing number of cancer cases diagnosed in HIV-infected patients. Although the number has decreased, AIDS-defining malignancies account for 15%-19% of all deaths in HIV-infected patients in the post-HAART era. Most HIV-related malignancies in HIV-infected patients manifest at an earlier age with a more aggressive course than that of non-HIV-related malignancies. Understanding common HIV-related malignancies and their specific imaging features is crucial for making an accurate and early diagnosis, which impacts management. Owing to the weakened immune system of HIV-infected patients, other entities such as various infections, particularly opportunistic infections, are prevalent in these patients. These processes can have confounding clinical and imaging manifestations that mimic malignancy. This article reviews the most common AIDS-defining and non-AIDS-defining malignancies, the role of imaging in their diagnosis, and the imaging mimics of malignancies in HIV-infected patients. ©RSNA, 2018.
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Affiliation(s)
- Sanaz Javadi
- From the Departments of Diagnostic Radiology (S.J., K.S., A.O., C.T.J., K.M.E.) and Interventional Radiology (N.K.), University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030; Department of Diagnostic Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.); Department of Radiology, University of Utah, Salt Lake City, Utah (A.S.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (M.G.L.); and Department of Radiology, University of Missouri Health Care, Columbia, Mo (A.H.G.)
| | - Christine O Menias
- From the Departments of Diagnostic Radiology (S.J., K.S., A.O., C.T.J., K.M.E.) and Interventional Radiology (N.K.), University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030; Department of Diagnostic Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.); Department of Radiology, University of Utah, Salt Lake City, Utah (A.S.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (M.G.L.); and Department of Radiology, University of Missouri Health Care, Columbia, Mo (A.H.G.)
| | - Niloofar Karbasian
- From the Departments of Diagnostic Radiology (S.J., K.S., A.O., C.T.J., K.M.E.) and Interventional Radiology (N.K.), University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030; Department of Diagnostic Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.); Department of Radiology, University of Utah, Salt Lake City, Utah (A.S.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (M.G.L.); and Department of Radiology, University of Missouri Health Care, Columbia, Mo (A.H.G.)
| | - Akram Shaaban
- From the Departments of Diagnostic Radiology (S.J., K.S., A.O., C.T.J., K.M.E.) and Interventional Radiology (N.K.), University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030; Department of Diagnostic Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.); Department of Radiology, University of Utah, Salt Lake City, Utah (A.S.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (M.G.L.); and Department of Radiology, University of Missouri Health Care, Columbia, Mo (A.H.G.)
| | - Komal Shah
- From the Departments of Diagnostic Radiology (S.J., K.S., A.O., C.T.J., K.M.E.) and Interventional Radiology (N.K.), University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030; Department of Diagnostic Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.); Department of Radiology, University of Utah, Salt Lake City, Utah (A.S.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (M.G.L.); and Department of Radiology, University of Missouri Health Care, Columbia, Mo (A.H.G.)
| | - Adam Osman
- From the Departments of Diagnostic Radiology (S.J., K.S., A.O., C.T.J., K.M.E.) and Interventional Radiology (N.K.), University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030; Department of Diagnostic Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.); Department of Radiology, University of Utah, Salt Lake City, Utah (A.S.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (M.G.L.); and Department of Radiology, University of Missouri Health Care, Columbia, Mo (A.H.G.)
| | - Corey T Jensen
- From the Departments of Diagnostic Radiology (S.J., K.S., A.O., C.T.J., K.M.E.) and Interventional Radiology (N.K.), University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030; Department of Diagnostic Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.); Department of Radiology, University of Utah, Salt Lake City, Utah (A.S.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (M.G.L.); and Department of Radiology, University of Missouri Health Care, Columbia, Mo (A.H.G.)
| | - Meghan G Lubner
- From the Departments of Diagnostic Radiology (S.J., K.S., A.O., C.T.J., K.M.E.) and Interventional Radiology (N.K.), University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030; Department of Diagnostic Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.); Department of Radiology, University of Utah, Salt Lake City, Utah (A.S.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (M.G.L.); and Department of Radiology, University of Missouri Health Care, Columbia, Mo (A.H.G.)
| | - Ayman H Gaballah
- From the Departments of Diagnostic Radiology (S.J., K.S., A.O., C.T.J., K.M.E.) and Interventional Radiology (N.K.), University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030; Department of Diagnostic Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.); Department of Radiology, University of Utah, Salt Lake City, Utah (A.S.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (M.G.L.); and Department of Radiology, University of Missouri Health Care, Columbia, Mo (A.H.G.)
| | - Khaled M Elsayes
- From the Departments of Diagnostic Radiology (S.J., K.S., A.O., C.T.J., K.M.E.) and Interventional Radiology (N.K.), University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030; Department of Diagnostic Radiology, Mayo Clinic, Scottsdale, Ariz (C.O.M.); Department of Radiology, University of Utah, Salt Lake City, Utah (A.S.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (M.G.L.); and Department of Radiology, University of Missouri Health Care, Columbia, Mo (A.H.G.)
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Abstract
PET and PET/computed tomography play a role in the staging, monitoring of response to therapy, and surveillance for cervical and ovarian cancers. Currently, it is also an integral part of the assessment of patients with endometrial cancer and other gynecologic malignancies, such as vaginal and vulvar cancers and uterine sarcomas. In this article, we discuss in detail and highlight the potential role of PET and PET/computed tomography in evaluating these gynecologic malignancies using illustrative cases with relevant imaging findings.
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Affiliation(s)
- Silvana Faria
- Department of Diagnostic Radiology, Abdominal Imaging Section, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4008, USA.
| | - Catherine Devine
- Department of Diagnostic Radiology, Abdominal Imaging Section, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4008, USA
| | - Chitra Viswanathan
- Department of Diagnostic Radiology, Abdominal Imaging Section, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4008, USA
| | - Sanaz Javadi
- Department of Diagnostic Radiology, Abdominal Imaging Section, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4008, USA
| | - Brinda Rao Korivi
- Department of Diagnostic Radiology, Abdominal Imaging Section, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4008, USA
| | - Priya R Bhosale
- Department of Diagnostic Radiology, Abdominal Imaging Section, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4008, USA
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Loghavi S, Medeiros LJ, Javadi S, Lin P, Khoury JD, Nastoupil L, Hunt KK, Clemens MW, Miranda RN. Breast Implant-Associated Anaplastic Large Cell Lymphoma With Bone Marrow Involvement. Aesthet Surg J 2018; 38:4964709. [PMID: 29635424 DOI: 10.1093/asj/sjy097] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
LEVEL OF EVIDENCE 5
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Affiliation(s)
- Sanam Loghavi
- Departments of Hematopathology, Diagnostic Radiology, Lymphoma/Myeloma, Breast Surgical Oncology, and Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - L Jeffrey Medeiros
- Departments of Hematopathology, Diagnostic Radiology, Lymphoma/Myeloma, Breast Surgical Oncology, and Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Sanaz Javadi
- Departments of Hematopathology, Diagnostic Radiology, Lymphoma/Myeloma, Breast Surgical Oncology, and Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Pei Lin
- Departments of Hematopathology, Diagnostic Radiology, Lymphoma/Myeloma, Breast Surgical Oncology, and Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Joseph D Khoury
- Departments of Hematopathology, Diagnostic Radiology, Lymphoma/Myeloma, Breast Surgical Oncology, and Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Loretta Nastoupil
- Departments of Hematopathology, Diagnostic Radiology, Lymphoma/Myeloma, Breast Surgical Oncology, and Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Kelly K Hunt
- Departments of Hematopathology, Diagnostic Radiology, Lymphoma/Myeloma, Breast Surgical Oncology, and Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Mark W Clemens
- Departments of Hematopathology, Diagnostic Radiology, Lymphoma/Myeloma, Breast Surgical Oncology, and Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Roberto N Miranda
- Departments of Hematopathology, Diagnostic Radiology, Lymphoma/Myeloma, Breast Surgical Oncology, and Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
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Bhosale P, Cox V, Faria S, Javadi S, Viswanathan C, Koay E, Tamm E. Genetics of pancreatic cancer and implications for therapy. Abdom Radiol (NY) 2018; 43:404-414. [PMID: 29177925 DOI: 10.1007/s00261-017-1394-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Pancreatic cancer is a highly lethal disease with a dismal 5-year prognosis. Knowledge of its genetics may help in identifying new methods for patient screening, and cancer treatment. In this review, we will describe the most common mutations responsible for the genesis of pancreatic cancer and their impact on screening, patterns of disease progression, and therapy.
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Yousefi Kebria D, Ghavami M, Javadi S, Goharimanesh M. Combining an experimental study and ANFIS modeling to predict landfill leachate transport in underlying soil-a case study in north of Iran. Environ Monit Assess 2017; 190:26. [PMID: 29249061 DOI: 10.1007/s10661-017-6374-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2016] [Accepted: 11/28/2017] [Indexed: 06/07/2023]
Abstract
In the contemporary world, urbanization and progressive industrial activities increase the rate of waste material generated in many developed countries. Municipal solid waste landfills (MSWs) are designed to dispose the waste from urban areas. However, discharged landfill leachate, the soluble water mixture that filters through solid waste landfills, can potentially migrate into the soil and affect living organisms by making harmful biological changes in the ecosystem. Due to well-documented landfill problems involving contamination, it is necessary to investigate the long-term influence of discharged leachate on the consistency of the soil beds beneath MSW landfills. To do so, the current study collected vertical deep core samples from different locations in the same unlined landfill. The impacts of effluent leachate on physical and chemical properties of the soil and its propagation depth were studied, and the leachate-transport pattern between successive boreholes was predicted by a developed mathematical model using an adaptive neuro-fuzzy inference system (ANFIS). The decomposition of organic leachate admixtures in the landfill yield is to produce organic acids as well as carbon dioxide, which diminishes the pH level of the landfill soil. The chemical analysis of discharged leachate in the soil samples showed that the concentrations of heavy metals are much lower than those of chloride, COD, BOD5, and bicarbonate. Using linear regression and mean square errors between the measured and predicted data, the accuracy of the proposed ANFIS model has been validated. Results show a high correlation between observed and predicated data.
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Affiliation(s)
- D Yousefi Kebria
- Department of Civil and Environmental Engineering, Babol Noshirvani University of Technology, P.O. BOX 484, Babol, Mazandaran, Iran.
| | - M Ghavami
- Department of Civil and Environmental Engineering, University of Louisville, Louisville, KY, USA
| | - S Javadi
- Department of Civil and Environmental Engineering, University of Louisville, Louisville, KY, USA
| | - M Goharimanesh
- Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
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Wildman-Tobriner B, Allen BC, Bashir MR, Camp M, Miller C, Fiorillo LE, Cubre A, Javadi S, Bibbey AD, Ehieli WL, McGreal N, Quevedo R, Thacker JK, Mazurowski M, Jaffe TA. Structured reporting of CT enterography for inflammatory bowel disease: effect on key feature reporting, accuracy across training levels, and subjective assessment of disease by referring physicians. Abdom Radiol (NY) 2017; 42:2243-2250. [PMID: 28393301 DOI: 10.1007/s00261-017-1136-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
PURPOSE To compare the content and accuracy of structured reporting (SR) versus non-structured reporting (NSR) for computed tomographic enterography (CTE) of inflammatory bowel disease (IBD). MATERIALS AND METHODS This IRB-approved, HIPAA-compliant, retrospective study included 30 adult subjects (15 male, 15 female; mean age 41.9 years) with IBD imaged with CTE. Nine radiologists (3 faculty, 3 abdominal imaging fellows, and 3 senior radiology residents) independently interpreted all examinations using both NSR and SR, separated by four weeks. Reports were assessed for documentation of 15 key reporting features and a subset of 5 features was assessed for accuracy. Thirty faculty reports (15 NSR [5 per reader] and 15 SR [5 per reader]) were randomly selected for review by three referring physicians, who independently rated quality metrics for each report. RESULTS NSR documented the presence or absence of 8.2 ± 2.2 key features, while SR documented 14.6 ± 0.5 features (p < 0.001). SR resulted in increased documentation of 13 of 15 features including stricture (p < 0.001), fistula (p < 0.001), fluid collection (p = 0.003), and perianal disease (p < 0.001). Among a subset of five features, accuracy for diagnosing multifocal disease was minimally increased when using SR (76% NSR vs. 83% SR; p = 0.01), but accuracy for other features was not affected by report type. Referring physicians significantly preferred SR based on ease of information extraction (p < 0.01). CONCLUSION Structured reporting of CTE for IBD improved documentation of key reporting features for trainees and faculty, though there was minimal impact on accuracy. Referring physicians subjectively preferred the structured reports.
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Korivi BR, Javadi S, Faria S, Sagebiel T, Garg N, Patnana M, Prasad SR. Small Cell Carcinoma of the Ovary, Hypercalcemic Type: Clinical and Imaging Review. Curr Probl Diagn Radiol 2017; 47:333-339. [PMID: 28943050 DOI: 10.1067/j.cpradiol.2017.08.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Revised: 08/24/2017] [Accepted: 08/24/2017] [Indexed: 01/11/2023]
Abstract
Small Cell Carcinoma of the Ovary, Hypercalcemic Type (SCCOHT) is a rare, aggressive malignancy with a poor prognosis. Its features are difficult to differentiate from other ovarian malignancies. In this article, we discuss recent advances in our understanding of this rare malignancy including tumor genetics. We also describe demographic, clinical and imaging findings, staging, and treatment options.
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Affiliation(s)
- Brinda Rao Korivi
- Diagnostic Radiology, Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX.
| | - Sanaz Javadi
- Diagnostic Radiology, Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Silvana Faria
- Diagnostic Radiology, Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Tara Sagebiel
- Diagnostic Radiology, Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Naveen Garg
- Diagnostic Radiology, Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Madhavi Patnana
- Diagnostic Radiology, Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Srinivasa R Prasad
- Diagnostic Radiology, Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX
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Elsayes KM, Shaaban AM, Rothan SM, Javadi S, Madrazo BL, Castillo RP, Casillas VJ, Menias CO. A Comprehensive Approach to Hepatic Vascular Disease. Radiographics 2017; 37:813-836. [DOI: 10.1148/rg.2017160161] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Khaled M. Elsayes
- From the Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (K.M.E., S.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (A.M.S.); Department of Diagnostic and Interventional Imaging, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Tex (S.M.R.); Department of Diagnostic Radiology, University of Miami Health System, Miami, Fla (B.L.M., R.P.C., V.J.C.)
| | - Akram M. Shaaban
- From the Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (K.M.E., S.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (A.M.S.); Department of Diagnostic and Interventional Imaging, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Tex (S.M.R.); Department of Diagnostic Radiology, University of Miami Health System, Miami, Fla (B.L.M., R.P.C., V.J.C.)
| | - Sarah M. Rothan
- From the Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (K.M.E., S.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (A.M.S.); Department of Diagnostic and Interventional Imaging, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Tex (S.M.R.); Department of Diagnostic Radiology, University of Miami Health System, Miami, Fla (B.L.M., R.P.C., V.J.C.)
| | - Sanaz Javadi
- From the Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (K.M.E., S.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (A.M.S.); Department of Diagnostic and Interventional Imaging, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Tex (S.M.R.); Department of Diagnostic Radiology, University of Miami Health System, Miami, Fla (B.L.M., R.P.C., V.J.C.)
| | - Beatrice L. Madrazo
- From the Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (K.M.E., S.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (A.M.S.); Department of Diagnostic and Interventional Imaging, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Tex (S.M.R.); Department of Diagnostic Radiology, University of Miami Health System, Miami, Fla (B.L.M., R.P.C., V.J.C.)
| | - Rosa P. Castillo
- From the Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (K.M.E., S.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (A.M.S.); Department of Diagnostic and Interventional Imaging, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Tex (S.M.R.); Department of Diagnostic Radiology, University of Miami Health System, Miami, Fla (B.L.M., R.P.C., V.J.C.)
| | - Victor J. Casillas
- From the Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (K.M.E., S.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (A.M.S.); Department of Diagnostic and Interventional Imaging, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Tex (S.M.R.); Department of Diagnostic Radiology, University of Miami Health System, Miami, Fla (B.L.M., R.P.C., V.J.C.)
| | - Christine O. Menias
- From the Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (K.M.E., S.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (A.M.S.); Department of Diagnostic and Interventional Imaging, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Tex (S.M.R.); Department of Diagnostic Radiology, University of Miami Health System, Miami, Fla (B.L.M., R.P.C., V.J.C.)
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ElGuindy YM, Javadi S, Menias CO, Jensen CT, Elsamaloty H, Elsayes KM. Imaging of secretory tumors of the gastrointestinal tract. Abdom Radiol (NY) 2017; 42:1113-1131. [PMID: 27878636 DOI: 10.1007/s00261-016-0976-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Gastrointestinal secretory tumors, or gastroenteropancreatic neuroendocrine tumors, encompass a wide array of endocrine cell tumors. The significance of these tumors lies in their ability to alter physiology through hormone production as we well as in their malignant potential. Functioning tumors may present earlier due to symptomatology; conversely, non-functioning tumors are often diagnosed late as they reach large sizes, causing symptoms secondary to local mass effect. Imaging aids in the diagnosis, staging, and prognosis and provides key information for presurgical planning. Although most of these tumors are sporadic, some are associated with important syndromes and associations, knowledge of which is critical for patient management. In this article, we provide an overview of secretory and neuroendocrine tumors of the GI tract and pancreas.
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Javadi S, Sadroddini M, Razzaghi-Kashani M, Reis PNB, Balado AA. Interfacial effects on dielectric properties of ethylene propylene rubber–titania nano- and micro-composites. J Polym Res 2015. [DOI: 10.1007/s10965-015-0805-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Shawa H, Elsayes KM, Javadi S, Sircar K, Jimenez C, Habra MA. Clinical and radiologic features of pheochromocytoma/ganglioneuroma composite tumors: a case series with comparative analysis. Endocr Pract 2014; 20:864-9. [PMID: 24641930 DOI: 10.4158/ep14010.or] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVE To describe and compare the clinical, biochemical, radiologic, and pathologic features of adrenal pheochromocytoma-ganglioneuroma (PC-GN) composites with the features of isolated pheochromocytomas (PCs) and adrenal ganglioneuromas (AGNs). METHODS We reviewed data for PC-GN composite cases seen at a single tertiary center between 1993 and 2012 and compared them with cases of isolated AGN and relatively similar median-size PCs. RESULTS Nine PC-GN composites were included. The median age at diagnosis was 52 years (range, 28 to 83 years) for PC-GN compared with 55 years (range, 24 to 78 years) for PC patients and 40 years (range, 18 to 64 years) for AGN patients. Similar to PCs, all PC-GN composites were associated with catecholamine overproduction, whereas AGNs were nonfunctioning. On pathology, the median tumor sizes were 7 cm (range, 2.5 to 13 cm) for PC-GN tumors, 6.5 cm (range, 3.5 to 7 cm) for PCs, and 8 cm (range, 3.2 to 20 cm) for AGNs. On computed tomography (CT) imaging, PC-GN composites and PCs were heterogeneous, with both having significantly higher postcontrast density values than AGNs, which typically looked homogeneous and had a progressive enhancement pattern without contrast washout in most cases. CONCLUSION The presence of a PC component significantly increases tumor heterogeneity and postcontrast density values. CT imaging could be very helpful in distinguishing AGNs from both PC-GN and PC tumors, but only pathologic examination can yield the diagnosis. Clinically and radiologically, PC-GN composites are indistinguishable from PCs and need to be managed similarly.
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Affiliation(s)
- Hassan Shawa
- Department of Endocrinology, Albany Medical Center, Albany, New York
| | - Khaled M Elsayes
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sanaz Javadi
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kanishka Sircar
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Camilo Jimenez
- Department of Endocrine Neoplasia and Hormonal Disorders, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Mouhammed Amir Habra
- Department of Endocrine Neoplasia and Hormonal Disorders, The University of Texas MD Anderson Cancer Center, Houston, Texas
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Shawa H, Elsayes KM, Javadi S, Morani A, Williams MD, Lee JE, Waguespack SG, Busaidy NL, Vassilopoulou-Sellin R, Jimenez C, Habra MA. Adrenal ganglioneuroma: features and outcomes of 27 cases at a referral cancer centre. Clin Endocrinol (Oxf) 2014; 80:342-7. [PMID: 24033606 DOI: 10.1111/cen.12320] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2013] [Revised: 07/28/2013] [Accepted: 08/25/2013] [Indexed: 12/11/2022]
Abstract
BACKGROUND Adrenal ganglioneuroma (AGN) is a rare neurogenic tumour that can mimic other adrenal neoplasms. Limited information, mostly derived from small cases series, is available for AGN. METHODS A retrospective review for AGNs seen at a tertiary referral centre describing important features to distinguish AGN from other adrenal neoplasms. RESULTS Of 53 ganglioneuromas, 27 were AGNs. Median age was 31 years (range, 1·7-64 years) and median tumour size was 8 cm (range, 1·5-20 cm). Seventeen AGNs (63%) were detected incidentally and nine patients (33%) presented with abdominal/back discomfort. Catecholamine levels, available for 21 patients, were normal. On computed tomography (CT), most AGNs were homogenous and well circumscribed with a median density of 32·5 Hounsfield units (HU) on unenhanced CT; 40 HU on postcontrast venous phase; and 66·5 HU on delayed postcontrast phase. On magnetic resonance imaging (MRI), AGNs had hypo-intense signal on T1-weighted images with heterogeneous hyperintense signal on T2-weighted images. In four patients, there was no tumour growth during median follow-up of 48 months (range, 21-60 months). One patient had malignant peripheral nerve sheath tumour arising from AGN. Thirteen patients with resected AGN had no recurrence during a median follow-up of 50 months (range, 2-135 months). CONCLUSIONS We herein describe the largest AGN series reported to date. Isolated AGNs do not produce catecholamines and have CT imaging characteristics that can help in distinguishing them from other adrenal and para-adrenal neoplasms. The natural history of AGNs is usually benign, although local extra-adrenal extension or malignant transformation can rarely occur.
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Affiliation(s)
- Hassan Shawa
- Department of Endocrine Neoplasia and Hormonal Disorders, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Ahrar K, Ahrar JU, Javadi S, Pan L, Milton DR, Wood CG, Matin SF, Stafford RJ. Real-time magnetic resonance imaging-guided cryoablation of small renal tumors at 1.5 T. Invest Radiol 2014; 48:437-44. [PMID: 23511191 DOI: 10.1097/rli.0b013e31828027c2] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Real-time magnetic resonance imaging (MRI)-guided cryoablation has been investigated in open MRI systems with low magnetic fields (0.2-0.5 T). More advanced imaging techniques and faster imaging rates are possible at higher magnetic fields, which often require a closed-bore magnet design. However, there is very little experience with real-time interventions in closed-bore 1.5-T MRI units. Herein, we report our initial experience with real-time MRI-guided cryoablation of small renal tumors using a prototype balanced steady-state free precession imaging sequence in a closed-bore 1.5-T MRI system. MATERIALS AND METHODS From August 2008 to April 2012, 18 patients underwent MRI-guided cryoablation of small renal tumors. A 1.5-T cylindrical MRI scanner with a 125 cm × 70 cm bore and a prototype balanced steady-state free precession sequence (BEAT interactive real-time tip tracking) were used to guide the placement of 17-gauge cryoprobes in real time. Ice ball formation was monitored every 3 minutes in 1 or more imaging planes. Each ablation consisted of 2 freeze-thaw cycles. Contrast-enhanced MRI was performed after the second active thaw period. Follow-up consisted of clinical evaluation and renal protocol computed tomography (CT) or MRI performed at 1, 6, 12, 18, and 24 months and annually thereafter. RESULTS During the study period, we successfully ablated 18 tumors in 18 patients in 18 sessions. The mean tumor size was 2.2 cm (median, 2 cm; range, 1.2-4.4 cm). The number of cryoprobes used per patient was determined based on tumor size. The mean number of cryoprobes used per patient was 3 (median, 3 cryoprobes; range, 2-4 cryoprobes). Fifty-six cryoprobes, 9 biopsy needles, and 2 hydrodissection needles were successfully placed under real-time MRI guidance using BEAT interactive real-time tip tracking sequence. Hydrodissection under MRI guidance was successfully performed in 4 patients. In each patient, contrast-enhanced MRI performed after the second active thaw period revealed a sharply defined avascular zone surrounding the targeted tumor, which confirmed complete ablation of the tumor with adequate margins. Although contrast media slowly accumulated in the targeted tumor in 9 patients immediately after the procedure, follow-up imaging studies performed at a mean of 16.7 months revealed no contrast enhancement within the ablation zone in these patients. Disease-specific, metastasis-free, and local recurrence-free survival rates were all 100%. CONCLUSIONS Real-time placement and manipulation of cryoprobes during MRI-guided cryoablation of small renal tumors in a closed-bore, high-magnetic field scanner are feasible. Technical and clinical success rates are similar to those of patients who undergo CT-guided radiofrequency ablation or cryoablation of small renal tumors. Our findings suggest that MRI-guided ablation has several advantages over CT-guided ablation, including real-time guidance for probe placement, multiplanar imaging, exquisite soft tissue contrast, and lack of ionizing radiation.
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Affiliation(s)
- Kamran Ahrar
- Section of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Avritscher R, Abdelsalam ME, Javadi S, Ensor J, Wallace MJ, Alt E, Madoff DC, Vykoukal JV. Percutaneous intraportal application of adipose tissue-derived mesenchymal stem cells using a balloon occlusion catheter in a porcine model of liver fibrosis. J Vasc Interv Radiol 2013; 24:1871-8. [PMID: 24144538 DOI: 10.1016/j.jvir.2013.08.022] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2013] [Revised: 08/22/2013] [Accepted: 08/26/2013] [Indexed: 02/09/2023] Open
Abstract
PURPOSE To investigate the safety and effectiveness of a novel endovascular approach for therapeutic cell delivery using a balloon occlusion catheter in a large animal model of liver fibrosis. MATERIALS AND METHODS Transcatheter arterial embolization with ethiodized oil (Ethiodol) and ethanol was used to induce liver damage in 11 pigs. Mesenchymal stem cells (MSCs) were harvested from adipose tissue and engineered to express green fluorescent protein (GFP). A balloon occlusion catheter was positioned in the bilateral first-order portal vein branches 2 weeks after embolization to allow intraportal application of MSCs in six experimental animals. MSCs were allowed to dwell for 10 minutes using prolonged balloon inflation. Five control animals received a sham injection of normal saline in a similar fashion. Hepatic venous pressure gradient (HVPG) was measured immediately before necropsy. Specimens from all accessible lobes were obtained with ultrasound-guided percutaneous 18-gauge biopsy 2 hours after cell application. All animals were euthanized within 4 weeks. Fluorescent microscopy was used to assess the presence and distribution of cells. RESULTS Liver injury and fibrosis were successfully induced in all animals. MSCs (6-10 × 10(7)) were successfully delivered into the portal vein in the six experimental animals. Cell application was not associated with vascular complications. HVPG showed no instances of portal hypertension. GFP-expressing MSCs were visualized in biopsy specimens and were distributed primarily within the sinusoidal spaces; however, 4 weeks after implantation, MSCs could not be identified in histologic specimens. CONCLUSIONS A percutaneous endovascular approach for cell delivery using a balloon occlusion catheter proved safe for intraportal MSC application in a large animal model of liver fibrosis.
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Affiliation(s)
- Rony Avritscher
- Department of Diagnostic Radiology, Interventional Radiology Section, The University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 1471 Houston, TX 77030.
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Enriquez J, Javadi S, Murthy R, Ensor J, Mahvash A, Abdelsalam ME, Madoff DC, Wallace MJ, Avritscher R. Gastroduodenal artery recanalization after transcatheter fibered coil embolization for prevention of hepaticoenteric flow: incidence and predisposing technical factors in 142 patients. Acta Radiol 2013; 54:790-4. [PMID: 23535183 DOI: 10.1177/0284185113481696] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND Prophylactic occlusion of extrahepatic vessels prior to radioembolization or chemotherapy infusion is an effective method to prevent gastrointestinal complications. Unfortunately, vascular recanalization can occur. PURPOSE To retrospectively determine the rate and technical factors associated with gastroduodenal artery (GDA) recanalization after transcatheter occlusion with fibered coils. MATERIAL AND METHODS Patients with hepatic malignancy who underwent fibered coil occlusion of the GDA origin for radioembolization or hepatic arterial chemotherapy infusion with at least one subsequent hepatic angiogram between March 2006 and January 2011 were included. One hundred and forty-two patients (men, 71; women, 71) met study criteria. Hepatic arteriograms were reviewed to determine the frequency of arterial recanalization. Additional parameters included: patients' demographics, GDA diameter, length of coil pack, distance between GDA origin and most cephalad coil, persistent flow at the conclusion of the initial GDA occlusion procedure, platelet count, and international normalized ratio (INR). Chi-square test and pooled t-test were used to compare the two groups. Prospective multivariate analysis was performed with a logistic regression model. RESULTS Twenty-nine of 142 patients (20.4%) experienced GDA recanalization. The distance between the GDA origin and most cephalad coil was significantly greater in the recanalization group than in the non-recanalization group (9.6 mm vs. 12.6 mm, P = 0.01). A prospective multivariate analysis established that the further the coil was from the origin the more likely the GDA was to recanalize. The two groups did not differ on the basis of any other factors examined. CONCLUSION GDA origin recanalization after fibered coil occlusion is common. The distance between the GDA origin and most cephalad coil appears to be a predisposing factor for recanalization. Familiarity with this phenomenon is beneficial to reduce the likelihood of gastrointestinal tract complications during hepatic locoregional therapy.
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Affiliation(s)
- Jose Enriquez
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
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Aminian A, Noorbakhsh F, Ghazi-Khansari M, Kafami L, Javadi S, Hassanzadeh G, Rahimian R, Dehpour A, Mehr S. Tropisetron diminishes demyelination and disease severity in an animal model of multiple sclerosis. Neuroscience 2013; 248:299-306. [DOI: 10.1016/j.neuroscience.2013.06.009] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2013] [Revised: 05/30/2013] [Accepted: 06/06/2013] [Indexed: 01/08/2023]
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Avritscher R, Abdelsalam M, Javadi S, Ensor J, Dixon K, Wallace M, Alt E, Jody Vykoukal J. Percutaneous catheter-based portal application of adipose tissue–derived mesenchymal stem cells (AD-MSCS) in a large animal model of liver cirrhosis. J Vasc Interv Radiol 2013. [DOI: 10.1016/j.jvir.2013.01.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Zhao J, Jody Vykoukal J, Abdelsalam M, Recio-Boiles A, Javadi S, Bankson J, Wallace M, Avritscher R, Melancon M. Adipose-derived stem cells labeled with spio-coated hollow gold nanoshells as theranostic approach for liver injury. J Vasc Interv Radiol 2013. [DOI: 10.1016/j.jvir.2013.01.216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Abdelsalam M, Chetta J, Harmoush S, Ensor J, Javadi S, Dixon K, McWatters A, Wallace M, Tam A, Avritscher R. CT findings after irreversible electroporation ablation in a porcine model: Radiologic-pathologic correlation. J Vasc Interv Radiol 2013. [DOI: 10.1016/j.jvir.2013.01.405] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Avritscher R, Javadi S. Transcatheter intra-arterial limb infusion for extremity osteosarcoma: technical considerations and outcomes. Tech Vasc Interv Radiol 2012; 14:124-8. [PMID: 21767779 DOI: 10.1053/j.tvir.2011.02.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The goal of transcatheter arterial infusion is to achieve better tumor response by delivering chemotherapy directly into the arterial bed supplying a neoplasm. The rationale behind such therapy relies on the potentially increased tumoricidal effect afforded by higher local concentrations of the infused chemotherapic agent(s) combined with longer tissue exposure times. The use of intra-arterial chemotherapy with or without transcatheter embolization before limb salvage surgery has been demonstrated to induce substantial tumor necrosis and reduce intraoperative blood loss. Recent advances in catheter technology have greatly reduced the morbidity associated with the procedure. This article will focus on the technical aspects of intra-arterial chemotherapy for the treatment of extremity osteosarcoma.
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Affiliation(s)
- Rony Avritscher
- Section of Interventional Radiology, Department of Diagnostic Radiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA.
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