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Dell’Aquila K, Hodges H, Moshiri M, Katz DS, Elojeimy S, Revzin MV, Tembelis M, Revels JW. Imaging evaluation of lymphoma in pregnancy with review of clinical assessment and treatment options. Abdom Radiol (NY) 2023; 48:1663-1678. [PMID: 36595067 PMCID: PMC9808767 DOI: 10.1007/s00261-022-03779-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 12/11/2022] [Accepted: 12/12/2022] [Indexed: 01/04/2023]
Abstract
Lymphoma-related malignancies can be categorized as Hodgkin's lymphoma (HL) or non-Hodgkin's lymphoma (NHL) based on histologic characteristics. Although quite rare during pregnancy, HL and NHL are the fourth and fifth most common malignancies during the pregnancy period, respectively. Given the rarity of lymphoma among pregnant patients, radiologists are usually unfamiliar with the modifications required for staging and treatment of this population, even those who work at centers with busy obstetrical services. Therefore, this manuscript serves to not only review the abdominopelvic imaging features of lymphoma in pregnancy, but it also discusses topics including birthing parent and fetal lymphoma-related prognosis, both antenatal and postpartum, current concepts in the management of pregnancy-related lymphoma, as well as the current considerations regarding birthing parent onco-fertility.
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Affiliation(s)
- Kevin Dell’Aquila
- grid.260914.80000 0001 2322 1832New York Institute of Technology College of Osteopathic Medicine, Old Westbury, NY USA
| | - Hannah Hodges
- grid.266832.b0000 0001 2188 8502Department of Radiology, University of New Mexico, Albuquerque, NM USA
| | - Mariam Moshiri
- grid.412807.80000 0004 1936 9916Department of Radiology, Vanderbilt University Medical Center, Nashville, TN USA
| | - Douglas S. Katz
- grid.137628.90000 0004 1936 8753Department of Radiology, New York University Langone Health–Long Island, Mineola, NY USA
| | - Saeed Elojeimy
- grid.259828.c0000 0001 2189 3475Department of Radiology, Medical University of South Carolina, Charleston, SC USA
| | - Margarita V. Revzin
- grid.47100.320000000419368710Department of Radiology, Yale University School of Medicine, New Haven, CT USA
| | - Miltiadis Tembelis
- grid.137628.90000 0004 1936 8753Department of Radiology, New York University Langone Health–Long Island, Mineola, NY USA
| | - Jonathan W. Revels
- grid.137628.90000 0004 1936 8753Department of Radiology, New York University Langone Health–Long Island Division, 560 1St Avenue, 2nd Floor, New York, NY 10016 USA
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Luo Y, Zhang S, Tan W, Lin G, Zhuang Y, Zeng H. The Diagnostic Efficiency of Quantitative Diffusion Weighted Imaging in Differentiating Medulloblastoma from Posterior Fossa Tumors: A Systematic Review and Meta-Analysis. Diagnostics (Basel) 2022; 12:diagnostics12112796. [PMID: 36428860 PMCID: PMC9689934 DOI: 10.3390/diagnostics12112796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/24/2022] [Accepted: 10/25/2022] [Indexed: 11/18/2022] Open
Abstract
Medulloblastoma (MB) is considered the most common and highly malignant posterior fossa tumor (PFT) in children. The accurate preoperative diagnosis of MB is beneficial in choosing the appropriate surgical methods and treatment strategies. Diffusion-weighted imaging (DWI) has improved the accuracy of differential diagnosis of posterior fossa tumors. Nonetheless, further studies are needed to confirm its value for clinical application. This study aimed to evaluate the performance of DWI in differentiating MB from other PFT. A literature search was conducted using databases PubMed, Embase, and Web of Science for studies reporting the diagnostic performance of DWI for PFT from January 2000 to January 2022. A bivariate random-effects model was employed to evaluate the pooled sensitivities and specificities. A univariable meta-regression analysis was used to assess relevant factors for heterogeneity, and subgroup analyses were performed. A total of 15 studies with 823 patients were eligible for data extraction. Overall pooled sensitivity and specificity of DWI were 0.94 (95% confident interval [CI]: 0.89-0.97) and 0.94 (95% CI: 0.90-0.96) respectively. The area under the curve (AUC) of DWI was 0.98 (95% CI: 0.96-0.99). Heterogeneity was found in the sensitivity (I2 = 62.59%) and the specificity (I2 = 35.94%). Magnetic field intensity, region of interest definition and DWI diagnostic parameters are the factors that affect the diagnostic performance of DWI. DWI has excellent diagnostic accuracy for differentiating MB from other PFT. Hence, it is necessary to set DWI as a routine examination sequence for posterior fossa tumors.
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Affiliation(s)
- Yi Luo
- Shantou University Medical College, 22 Xinling Road, Jinping District, Shantou 515041, China
- Department of Radiology, Shenzhen Children’s Hospital, 7019 Yitian Road, Futian District, Shenzhen 518038, China
| | - Siqi Zhang
- Shantou University Medical College, 22 Xinling Road, Jinping District, Shantou 515041, China
- Department of Radiology, Shenzhen Children’s Hospital, 7019 Yitian Road, Futian District, Shenzhen 518038, China
| | - Weiting Tan
- Shenzhen Children’s Hospital of China Medical University, 7019 Yitian Road, Futian District, Shenzhen 518038, China
| | - Guisen Lin
- Department of Radiology, Shenzhen Children’s Hospital, 7019 Yitian Road, Futian District, Shenzhen 518038, China
| | - Yijiang Zhuang
- Department of Radiology, Shenzhen Children’s Hospital, 7019 Yitian Road, Futian District, Shenzhen 518038, China
| | - Hongwu Zeng
- Department of Radiology, Shenzhen Children’s Hospital, 7019 Yitian Road, Futian District, Shenzhen 518038, China
- Correspondence:
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