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Yildirim O, Peck KK, Saha A, Karimi S, Lis E. Dynamic Contrast Enhanced MR Perfusion and Diffusion-Weighted Imaging of Marrow-Replacing Disorders of the Spine: A Comprehensive Review. Radiol Clin North Am 2024; 62:287-302. [PMID: 38272621 DOI: 10.1016/j.rcl.2023.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
Significant advancements in cancer treatment have led to improved survival rates for patients, particularly in the context of spinal metastases. However, early detection and monitoring of treatment response remain crucial for optimizing patient outcomes. Although conventional imaging methods such as bone scan, PET, MR imaging, and computed tomography are commonly used for diagnosing and monitoring treatment, they present challenges in differential diagnoses and treatment response monitoring. This review article provides a comprehensive overview of the principles, applications, and practical uses of dynamic contrast-enhanced MR imaging and diffusion-weighted imaging in the assessment and monitoring of marrow-replacing disorders of the spine.
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Affiliation(s)
- Onur Yildirim
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
| | | | - Atin Saha
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Sasan Karimi
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Eric Lis
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
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Park SY, Yoon MA, Lee MH, Lee SH, Chung HW. [Imaging Findings of Spinal Metastases with Differential Diagnosis: Focusing on Solitary Spinal Lesion in Older Patients]. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2024; 85:77-94. [PMID: 38362381 PMCID: PMC10864150 DOI: 10.3348/jksr.2023.0156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/06/2024] [Accepted: 01/18/2024] [Indexed: 02/17/2024]
Abstract
If a solitary spinal lesion is found in an older patient, bone metastasis can be primarily considered as the diagnosis. Bone metastasis can occur anywhere, but it mostly occurs in the vertebral body and may sometimes show typical imaging findings, presenting as a single lesion. Therefore, differentiating it from other lesions that mimic bone metastases can be challenging, potentially leading to delayed diagnosis and initiation of primary cancer treatment. This review provides an overview of imaging findings and clinical guidelines for bone metastases and discusses its differences from other diseases that can occur as solitary spinal lesions in older patients.
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Wang L, Wang D, Chen J, Sun M, Nickel D, Kannengiesser S, Qu F, Zhu J, Ren C, Zhang Y, Cheng J. Preliminary Study of Confounder-Corrected Fat Fraction and R2* Mapping of Bone Marrow in Children With Acute Leukemia. J Magn Reson Imaging 2023; 58:1353-1363. [PMID: 37154163 DOI: 10.1002/jmri.28755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 04/10/2023] [Accepted: 04/10/2023] [Indexed: 05/10/2023] Open
Abstract
BACKGROUND The bone marrow (BM) evaluation of acute leukemia (AL) mainly depends on invasive BM puncture biopsy. Noninvasive and accurate MR examination technology has potential clinical application value in the BM evaluation of AL patients. Multi-gradient-echo (MGRE) has been found useful to evaluate changes in BM fat and iron content, but has not yet been applied in AL. PURPOSE To explore the diagnostic capability of BM infiltration of quantitative BM fat fraction (FF) and R2* values obtained from a 3D MGRE sequence in children with primary AL. STUDY TYPE Prospective. POPULATION/SUBJECTS Sixty-two pediatric patients with untreated AL and 68 healthy volunteers. AL patients were divided into acute lymphoblastic leukemia (ALL) (n = 39) and acute myeloid leukemia (AML) (n = 23) groups. FIELD STRENGTH/SEQUENCE 3T, 3D chemical-shift-encoded multi-gradient-echo, T1WI, T2WI, T2_STIR. ASSESSMENT BM FF and R2* values were assessed by manually drawing regions of interest at the L3, L4, ilium, and 1 cm below the bilateral trochanter of the femur (upper femur). STATISTICAL TESTS Independent sample t-tests, variance analysis, Spearman correlation. RESULTS BM FF and R2* at L3, L4, ilium, and upper femur, FFtotal and R2*total were significantly lower in the AL than control group. BM FF did not significantly differ between ALL and AML groups (PL3 = 0.060, PL4 = 0.086, Pilium = 0.179, Pupper femur = 0.149, and Ptotle = 0.097, respectively). The R2* was significantly lower in ALL group than AML group for L3, L4, and R2*total . BM FF was moderately positively correlated with R2* in ALL group, and strongly positively correlated in AML group. Area under the receiver operating characteristic curves showed that BM FF had higher AUC in AL, ALL, and AML (all AUC = 1.000) than R2* (0.976, 0.996, and 0.941, respectively). DATA CONCLUSION MGRE-MRI mapping can be applied to measure BM FF and R2* values, and help evaluate BM infiltration and iron storage in children with AL. EVIDENCE LEVEL 1 Technical Efficacy: 2.
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Affiliation(s)
- Linlin Wang
- MRI Department of the First Affiliated Hospital, Zhengzhou University, Zhengzhou, China
| | - Dao Wang
- Department of Paediatrics of the First Affiliated Hospital, Zhengzhou University, Zhengzhou, China
| | - Jiao Chen
- Department of Paediatrics of the First Affiliated Hospital, Zhengzhou University, Zhengzhou, China
| | - Mengtian Sun
- MRI Department of the First Affiliated Hospital, Zhengzhou University, Zhengzhou, China
| | - Dominik Nickel
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | | | - Feifei Qu
- MR Collaboration, Siemens Healthcare Ltd., Beijing, China
| | - Jingxia Zhu
- MR Collaboration, Siemens Healthcare Ltd., Beijing, China
| | - Cuiping Ren
- MRI Department of the First Affiliated Hospital, Zhengzhou University, Zhengzhou, China
| | - Yong Zhang
- MRI Department of the First Affiliated Hospital, Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- MRI Department of the First Affiliated Hospital, Zhengzhou University, Zhengzhou, China
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Yan SY, Yang YW, Jiang XY, Hu S, Su YY, Yao H, Hu CH. Fat quantification: Imaging methods and clinical applications in cancer. Eur J Radiol 2023; 164:110851. [PMID: 37148843 DOI: 10.1016/j.ejrad.2023.110851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 04/19/2023] [Accepted: 04/24/2023] [Indexed: 05/08/2023]
Abstract
Recently, the study of the relationship between lipid metabolism and cancer has evolved. The characteristics of intratumoral and peritumoral fat are distinct and changeable during cancer development. Subcutaneous and visceral adipose tissue are also associated with cancer prognosis. In non-invasive imaging, fat quantification parameters such as controlled attenuation parameter, fat volume fraction, and proton density fat fraction from different imaging methods complement conventional images by providing concrete fat information. Therefore, measuring the changes of fat content for further understanding of cancer characteristics has been applied in both research and clinical settings. In this review, the authors summarize imaging advances in fat quantification and highlight their clinical applications in cancer precaution, auxiliary diagnosis and classification, therapy response monitoring, and prognosis.
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Affiliation(s)
- Suo Yu Yan
- Department of Radiology, The First Affiliated Hospital to Soochow University, Suzhou 215006, PR China
| | - Yi Wen Yang
- Department of Radiology, The First Affiliated Hospital to Soochow University, Suzhou 215006, PR China
| | - Xin Yu Jiang
- Department of Radiology, The First Affiliated Hospital to Soochow University, Suzhou 215006, PR China
| | - Su Hu
- Department of Radiology, The First Affiliated Hospital to Soochow University, Suzhou 215006, PR China
| | - Yun Yan Su
- Department of Radiology, The First Affiliated Hospital to Soochow University, Suzhou 215006, PR China.
| | - Hui Yao
- Department of Radiology, The First Affiliated Hospital to Soochow University, Suzhou 215006, PR China; Department of General Surgery, The First Affiliated Hospital to Soochow University, Suzhou 215006, PR China.
| | - Chun Hong Hu
- Department of Radiology, The First Affiliated Hospital to Soochow University, Suzhou 215006, PR China.
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Bahouth SM, Yeboa DN, Ghia AJ, Tatsui CE, Alvarez-Breckenridge CA, Beckham TH, Bishio AJ, Li J, McAleer MF, North RY, Rhines LD, Swanson TA, Chenyang W, Amini B. Multidisciplinary management of spinal metastases: what the radiologist needs to know. Br J Radiol 2022; 95:20220266. [PMID: 35856792 PMCID: PMC9815745 DOI: 10.1259/bjr.20220266] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/17/2022] [Accepted: 07/11/2022] [Indexed: 01/13/2023] Open
Abstract
The modern management of spinal metastases requires a multidisciplinary approach that includes radiation oncologists, surgeons, medical oncologists, and diagnostic and interventional radiologists. The diagnostic radiologist can play an important role in the multidisciplinary team and help guide assessment of disease and selection of appropriate therapy. The assessment of spine metastases is best performed on MRI, but imaging from other modalities is often needed. We provide a review of the clinical and imaging features that are needed by the multidisciplinary team caring for patients with spine metastases and stress the importance of the spine radiologist taking responsibility for synthesizing imaging features across multiple modalities to provide a report that advances patient care.
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Affiliation(s)
- Sarah M Bahouth
- Musculoskeletal Imaging and Intervention Department, Brigham and Women’s Hospital, Boston MA, USA
| | - Debra N Yeboa
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Amol J Ghia
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Claudio E Tatsui
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Thomas H Beckham
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrew J Bishio
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jing Li
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mary Frances McAleer
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Robert Y North
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Laurence D Rhines
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Todd A Swanson
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wang Chenyang
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Behrang Amini
- Department of Musculoskeletal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Validating the screening criteria for bone metastases in treatment-naïve unfavorable intermediate and high-risk prostate cancer - the prevalence and location of bone- and lymph node metastases. Eur Radiol 2022; 32:8266-8275. [PMID: 35939081 DOI: 10.1007/s00330-022-08945-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/12/2022] [Accepted: 05/30/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE The European Association of Urology (EAU) recommends a bone scan for newly diagnosed unfavorable intermediate- and high-risk prostate cancer. We aimed to validate the screening criteria for bone metastases in patients with treatment-naïve prostate cancer. METHODS This single-center retrospective study included all patients with treatment-naïve unfavorable intermediate- or high-risk prostate cancer. All underwent MRI of the lumbar column (T2Dixon) and pelvis (3DT2w, DWI, and T2 Dixon). The presence and location of lymph node and bone metastases were registered according to risk groups and radiological (rad) T-stage. The risk of lymph node metastases was assessed by odds ratio (OR). RESULTS We included 390 patients, of which 68% were high-risk and 32% were unfavorable intermediate-risk. In the high-risk group, the rate of regional- and non-regional lymph node metastases was 11% and 6%, respectively, and the rate of bone metastases was 10%. In the unfavorable intermediate-risk group, the rate of regional- and non-regional lymph node metastases was 4% and 0.8%, respectively, and the rate of bone metastases was 0.8%. Metastases occurred exclusively in the lumbar column in 0.5% of all patients, in the pelvis in 4%, and the pelvis and lumbar column in 3%. All patients with bone metastases had radT3-4, and patients with radT3-4 showed a four-fold increased risk of lymph node metastases (OR 4.48, 95% CI: 2.1-9.5). CONCLUSION Bone metastases were found in 10% with high-risk prostate cancer and 0.8% with unfavorable intermediate-risk. Therefore, we question the recommendation to screen the unfavorable intermediate-risk group for bone metastases. KEY POINTS • The rate of bone metastases was 10% in high-risk patients and 0.8% in the unfavorable intermediate-risk group. • The rate of lymph-node metastases was 17% in high-risk patients and 5% in the unfavorable intermediate-risk group. • No bone metastases were seen in radiologically localized disease.
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Differentiation of bone metastases from benign red marrow depositions of the spine: the role of fat-suppressed T2-weighted imaging compared to fat fraction map. Eur Radiol 2022; 32:6730-6738. [PMID: 35798881 DOI: 10.1007/s00330-022-08965-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 05/09/2022] [Accepted: 06/12/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To differentiate bone metastases (BMs) from benign red marrow depositions (BRMs) of the spine using quantitative parameters derived from fat-suppressed T2-weighted imaging (T2 FS) and fat fraction (FF) map METHODS: One hundred eleven lesions, divided into 62 BMs and 49 BRMs according to MR images and either bone scan or PET-CT, were assessed with T2 FS and FF map. Two radiologists independently measured quantitative parameters from the ROIs in the lesions, including fat-suppressed (FS) T2 ratio (ratio of lesion FS T2 signal intensity [SI] to normal marrow FS T2 SI), FF, and FF ratio (ratio of lesion FF to normal marrow FF). The mean values of these parameters were compared between the two groups. To evaluate the diagnostic utilities of individual (FS T2 ratio, FF, and FF ratio) and combined parameters, ROC curves were analyzed. For the ROC curves among the individual parameters and their combinations, AUCs were compared. RESULTS The FS T2 ratio of BMs was significantly higher than that of BRMs (2.638 vs. 1.155 [p < 0.001]). The FF and FF ratio of BMs were significantly lower than those of BRMs (FF, 3.554% vs. 20.038% [p < 0.001]; FF ratio, 0.072 vs. 0.364 [p < 0.001]). The ROC AUCs of individual and combined parameters ranged from 0.941 to 0.980. The AUCs of all individual parameters and their combinations did not demonstrate statistically significant differences. CONCLUSION The FS T2 ratio, FF, and FF ratio can be useful in differentiating BMs from BRMs with or without any combination of the parameters. KEY POINTS • Quantitative parameters derived from fat-suppressed T2-weighted imaging and fat fraction map could be used to differentiate bone metastases from benign red marrow depositions with or without any combination of the parameters. • Quantitative parameters of fat-suppressed T2-weighted imaging provide diagnostic performance similar to those of fat fraction map in differentiating bone metastases from benign red marrow depositions.
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Azzouzi H, Ichchou L. Schmorl's nodes: demystification road of endplate defects-a critical review. Spine Deform 2022; 10:489-499. [PMID: 34825353 DOI: 10.1007/s43390-021-00445-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 11/11/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Schmorl's nodes (SN) were the first vertebral endplate defects described. Debate continues about their epidemiology, physiopathology, and clinical significance. The purpose of this work was to summarize and discuss available literature about SN. METHODS We have searched for relevant papers about SN until April 2020, with 104 articles have been reviewed. RESULTS More than half of the available literature described the epidemiological aspects of SN or reported rare clinical presentations and treatment options. The lack of a consensual definition of SN, among other endplate defects, contributed to difficulties in literature results' interpretation. Summing up, SN is a frequent vertebral defect at the thoracolumbar juncture, with ethnic and gender influence. Lumbar Schmorl's nodes were frequently associated with disc degenerative disease and back pain. Their physiopathology remains unknown. However, strain energy changes in the spine along with morphological aspects of the vertebra, the genetic background, and the osteoimmunology may constitute possible clues. New SN could be confused in malignancy context with bone metastasis. The literature describes some imaging techniques to differentiate them, avoiding invasive approaches. Treatment options for rare painful presentations remain few with low evidence. Further studies are needed to establish a consensual definition for SN, understand clinical aspects, and provide adequate therapeutic strategies.
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Affiliation(s)
- Hamida Azzouzi
- Department of Rheumatology, Faculty of Medicine, Mohammed VI University Hospital of Oujda, Université Mohammed Premier, Oujda, Morocco.
| | - Linda Ichchou
- Department of Rheumatology, Faculty of Medicine, Mohammed VI University Hospital of Oujda, Université Mohammed Premier, Oujda, Morocco
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Lee JH, Yoo GS, Yoon YC, Park HC, Kim HS. Diffusion-weighted and dynamic contrast-enhanced magnetic resonance imaging after radiation therapy for bone metastases in patients with hepatocellular carcinoma. Sci Rep 2021; 11:10459. [PMID: 34001997 PMCID: PMC8128906 DOI: 10.1038/s41598-021-90065-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 05/04/2021] [Indexed: 12/24/2022] Open
Abstract
The objectives of this study were to assess changes in apparent diffusion coefficient (ADC) and dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) parameters after radiation therapy (RT) for bone metastases from hepatocellular carcinoma (HCC) and to evaluate their prognostic value. This prospective study was approved by the Institutional Review Board. Fourteen patients with HCC underwent RT (30 Gy in 10 fractions once daily) for bone metastases. The ADC and DCE-MRI parameters and the volume of the target lesions were measured before (baseline) and one month after RT (post-RT). The Wilcoxon signed-rank test was used to compare the parameters between the baseline and post-RT MRI. The parameters were compared between patients with or without disease progression in RT fields using the Mann–Whitney test. Intraclass correlation coefficients were used to evaluate the interobserver agreement. The medians of the ADC, rate constant [kep], and volume fraction of the extravascular extracellular matrix [ve] in the baseline and post-RT MRI were 0.67 (range 0.61–0.72) and 0.75 (range 0.63–1.43) (× 10–3 mm2/s) (P = 0.027), 836.33 (range 301.41–1082.32) and 335.80 (range 21.86–741.87) (× 10–3/min) (P = 0.002), and 161.54 (range 128.38–410.13) and 273.99 (range 181.39–1216.95) (× 10–3) (P = 0.027), respectively. The medians of the percent change in the ADC of post-RT MRI in patients with progressive disease and patients without progressive disease were − 1.35 (range − 6.16 to 6.79) and + 46.71 (range 7.71–112.81) (%) (P = 0.011), respectively. The interobserver agreements for all MRI parameters were excellent (intraclass correlation coefficients > 0.8). In conclusion, the ADC, kep, and ve of bone metastases changed significantly after RT. The percentage change in the ADC was closely related to local tumor progression.
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Affiliation(s)
- Ji Hyun Lee
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea
| | - Gyu Sang Yoo
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea
| | - Young Cheol Yoon
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea.
| | - Hee Chul Park
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea.
| | - Hyun Su Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea
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ADC und Fettfraktion von Schmorl-Knötchen und Knochenmetastasen. ROFO-FORTSCHR RONTG 2021. [DOI: 10.1055/a-1072-7089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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T2-weighted Dixon MRI of the spine: A feasibility study of quantitative vertebral bone marrow analysis. Diagn Interv Imaging 2021; 102:431-438. [PMID: 33612414 DOI: 10.1016/j.diii.2021.01.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 01/17/2021] [Accepted: 01/30/2021] [Indexed: 12/30/2022]
Abstract
PURPOSE To compare the measurements of fat fraction (FF) and in-phase vs. opposed-phase ratio between two-dimensional T2-weighted (T2W) spin-echo (SE) Dixon and three-dimensional (3D) T1-weighted (T1W) volume interpolated breath-hold examination (VIBE) Dixon sequences in malignant vertebral lesions and normal vertebral bone marrow. MATERIALS AND METHODS Thirty patients with focal vertebral malignancies (20 men, mean age, 67.3±9.4 [SD] years; age range: 41-84 years) and 30 patients without malignant spinal disease (11 men, mean age, 70.1±12.9 [SD]; age range: 53-93 years) were retrospectively included. Each patient underwent spine MRI at 1.5 Tesla including T2W SE and T1W VIBE 2-point Dixon sequences. Two readers independently performed 3D-volume of interest (VOI) and region of interest (ROI)-based FF and IO-ratio measurements of malignant lesions and normal vertebrae. Student t-test, Pearson correlation (r) test and two-way mixed model intraclass correlation coefficients (ICC) were used to compare measurements. RESULTS T2W SE and T1W VIBE mean FF and IO-ratio were significantly smaller in malignancy compared to normal marrow, but there were significant differences of paired measurement mean values between T2W SE and T1W VIBE Dixon parameters in malignant lesions T2W SE VOI FF=9%, T2W SE ROI FF=7%, T2W SE IO-ratio=4% vs. T1W VIBE VOI FF=11%, T1W VIBE ROI FF=9%, T1W VIBE IO-ratio=-2%, and in normal vertebrae T2W SE VOI FF=74%, T2W SE ROI FF=77%, T2W SE IO-ratio=51% vs. T1W VIBE VOI FF=67%, T1W VIBE ROI FF=73%, T1W VIBE IO-ratio=58% (each P comparing the paired T2W TSE and T1W VIBE parameter, respectively<0.001). There was excellent positive correlation between T2W SE and T1W VIBE-FF (r≥0.99) and VOI and ROI FF measurements for each sequence (r≥0.99). Inter-reader agreement was excellent for all measurements (ICC≥0.94 for all). CONCLUSION Calculation of T2W SE Dixon derived FF is feasible and gave valid results that help discriminate between malignant vertebral lesions and normal vertebral bone marrow.
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Differentiation of Vertebral Metastases From Focal Hematopoietic Marrow Depositions on MRI: Added Value of Proton Density Fat Fraction. AJR Am J Roentgenol 2021; 216:734-741. [PMID: 33405947 DOI: 10.2214/ajr.19.22698] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE. The purpose of this study was to evaluate the added value of proton density fat fraction (PDFF) in differentiating vertebral metastases from focal hematopoietic marrow depositions. MATERIALS AND METHODS. The study included 44 patients with 30 vertebral metastases and 14 focal hematopoietic marrow depositions who underwent spinal MRI. The final diagnoses were based on histologic confirmation, follow-up MRI, or PET/CT. Two musculoskeletal radiologists with 1 and 15 years of experience independently interpreted both image sets (i.e., images from conventional MRI alone versus images from conventional MRI and PDFF combined). Using a 5-point scale, the readers scored their confidence in the malignancy of the vertebral lesions. The diagnostic performance (AUC) of the two image sets was assessed via ROC curve analyses. Sensitivities, specificities, and accuracies (for both image sets) were compared using the McNemar test. Kappa coefficients were calculated to assess interobserver agreement. RESULTS. Both readers showed improved diagnostic performance after PDFF was added (AUC, 0.840-0.912 and 0.805-0.895 for readers 1 and 2, respectively). However, adding PDFF did not significantly improve the sensitivity and specificity of either reader (p > .05). Interobserver agreement significantly improved from moderate (κ = 0.563) to excellent (κ = 0.947) after PDFF was added. CONCLUSION. The addition of PDFF to a conventional MRI protocol improved the diagnostic performance for differentiating vertebral metastases from focal hematopoietic marrow depositions but without resulting in significant improvement in sensitivity and specificity.
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Guan Y, Peck KK, Lyo J, Tisnado J, Lis E, Arevalo-Perez J, Yamada Y, Hameed MR, Karimi S, Holodny A. T1-weighted Dynamic Contrast-enhanced MRI to Differentiate Nonneoplastic and Malignant Vertebral Body Lesions in the Spine. Radiology 2020; 297:382-389. [PMID: 32870135 DOI: 10.1148/radiol.2020190553] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Background Dynamic contrast agent-enhanced (DCE) perfusion MRI may help differentiate between nonneoplastic and malignant lesions in the spine. Purpose To investigate the correlation between fractional plasma volume (Vp), a parameter derived from DCE perfusion MRI, and histopathologic diagnosis for spinal lesions. Materials and Methods In this retrospective study, patients who underwent DCE perfusion MRI and lesion biopsy between May 2015 and May 2018 were included. Inclusion criteria were short time interval (<30 days) between DCE perfusion MRI and biopsy, DCE perfusion MRI performed before biopsy, and DCE perfusion MRI performed at the same spine level as biopsy. Exclusion criteria were prior radiation treatment on vertebrae of interest, poor DCE perfusion MRI quality, nondiagnostic biopsy, and extensive spinal metastasis or prior kyphoplasty. One hundred thirty-four lesions were separated into a nonneoplastic group (n = 51) and a malignant group (n = 83) on the basis of histopathologic analysis. Two investigators manually defined regions of interest in the vertebrae. DCE perfusion MRI parameter Vp was calculated by using the Tofts pharmacokinetic two-compartment model. Vp was quantified, normalized to adjacent normal vertebrae, and compared between the two groups. A Mann-Whitney U test and receiver operating characteristic analysis was performed to verify the difference in Vp between the nonneoplastic and malignant groups. Reproducibility was assessed by calculating the Cohen κ coefficient. Results One hundred patients (mean age, 65 years ± 11 [standard deviation]; 52 men) were evaluated. Vp was lower in nonneoplastic lesions versus malignant lesions (1.6 ± 1.3 vs 4.2 ± 3.0, respectively; P < .001). The sensitivity of Vp was 93% (77 of 83; 95% confidence interval [CI]: 85%, 97%), specificity was 78% (40 of 51; 95% CI: 65%, 89%), and area under the receiver operating characteristic curve was 0.88 (95% CI: 0.82, 0.95). Cohen κ coefficient suggested substantial agreement in both intra- (κ = 0.72) and interreader (κ = 0.70) reproducibility. Conclusion This study indicated that dynamic contrast agent-enhanced perfusion MRI parameter, fractional plasma volume, was able to differentiate between nonneoplastic spinal lesions and malignant lesions. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Haller in this issue.
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Affiliation(s)
- Youxin Guan
- From the Departments of Radiology (Y.G., K.K.P., J.L., J.T., E.L., J.A.P., S.K., A.H.), Medical Physics (K.K.P.), Radiation Oncology (Y.Y.), and Pathology (M.R.H.), Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10021; Department of Radiology, Weill Medical College of Cornell University, New York, NY (A.H.); and Department of Neuroscience, Weill-Cornell Graduate School of the Medical Sciences, New York, NY (A.H.)
| | - Kyung K Peck
- From the Departments of Radiology (Y.G., K.K.P., J.L., J.T., E.L., J.A.P., S.K., A.H.), Medical Physics (K.K.P.), Radiation Oncology (Y.Y.), and Pathology (M.R.H.), Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10021; Department of Radiology, Weill Medical College of Cornell University, New York, NY (A.H.); and Department of Neuroscience, Weill-Cornell Graduate School of the Medical Sciences, New York, NY (A.H.)
| | - John Lyo
- From the Departments of Radiology (Y.G., K.K.P., J.L., J.T., E.L., J.A.P., S.K., A.H.), Medical Physics (K.K.P.), Radiation Oncology (Y.Y.), and Pathology (M.R.H.), Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10021; Department of Radiology, Weill Medical College of Cornell University, New York, NY (A.H.); and Department of Neuroscience, Weill-Cornell Graduate School of the Medical Sciences, New York, NY (A.H.)
| | - Jamie Tisnado
- From the Departments of Radiology (Y.G., K.K.P., J.L., J.T., E.L., J.A.P., S.K., A.H.), Medical Physics (K.K.P.), Radiation Oncology (Y.Y.), and Pathology (M.R.H.), Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10021; Department of Radiology, Weill Medical College of Cornell University, New York, NY (A.H.); and Department of Neuroscience, Weill-Cornell Graduate School of the Medical Sciences, New York, NY (A.H.)
| | - Eric Lis
- From the Departments of Radiology (Y.G., K.K.P., J.L., J.T., E.L., J.A.P., S.K., A.H.), Medical Physics (K.K.P.), Radiation Oncology (Y.Y.), and Pathology (M.R.H.), Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10021; Department of Radiology, Weill Medical College of Cornell University, New York, NY (A.H.); and Department of Neuroscience, Weill-Cornell Graduate School of the Medical Sciences, New York, NY (A.H.)
| | - Julio Arevalo-Perez
- From the Departments of Radiology (Y.G., K.K.P., J.L., J.T., E.L., J.A.P., S.K., A.H.), Medical Physics (K.K.P.), Radiation Oncology (Y.Y.), and Pathology (M.R.H.), Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10021; Department of Radiology, Weill Medical College of Cornell University, New York, NY (A.H.); and Department of Neuroscience, Weill-Cornell Graduate School of the Medical Sciences, New York, NY (A.H.)
| | - Yoshiya Yamada
- From the Departments of Radiology (Y.G., K.K.P., J.L., J.T., E.L., J.A.P., S.K., A.H.), Medical Physics (K.K.P.), Radiation Oncology (Y.Y.), and Pathology (M.R.H.), Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10021; Department of Radiology, Weill Medical College of Cornell University, New York, NY (A.H.); and Department of Neuroscience, Weill-Cornell Graduate School of the Medical Sciences, New York, NY (A.H.)
| | - Meera R Hameed
- From the Departments of Radiology (Y.G., K.K.P., J.L., J.T., E.L., J.A.P., S.K., A.H.), Medical Physics (K.K.P.), Radiation Oncology (Y.Y.), and Pathology (M.R.H.), Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10021; Department of Radiology, Weill Medical College of Cornell University, New York, NY (A.H.); and Department of Neuroscience, Weill-Cornell Graduate School of the Medical Sciences, New York, NY (A.H.)
| | - Sasan Karimi
- From the Departments of Radiology (Y.G., K.K.P., J.L., J.T., E.L., J.A.P., S.K., A.H.), Medical Physics (K.K.P.), Radiation Oncology (Y.Y.), and Pathology (M.R.H.), Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10021; Department of Radiology, Weill Medical College of Cornell University, New York, NY (A.H.); and Department of Neuroscience, Weill-Cornell Graduate School of the Medical Sciences, New York, NY (A.H.)
| | - Andrei Holodny
- From the Departments of Radiology (Y.G., K.K.P., J.L., J.T., E.L., J.A.P., S.K., A.H.), Medical Physics (K.K.P.), Radiation Oncology (Y.Y.), and Pathology (M.R.H.), Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10021; Department of Radiology, Weill Medical College of Cornell University, New York, NY (A.H.); and Department of Neuroscience, Weill-Cornell Graduate School of the Medical Sciences, New York, NY (A.H.)
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