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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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Nischal N, Afzali M, Shojaie P, Azzopardi C, Iyengar KP, Haleem S, Stevenson JD, Botchu R. The T1 Ratio of Marrow (TROM) as a Novel Tool to Identify Metastatic from Nonmalignant Marrow Lesions of the Spine: A Pilot Study. Indian J Radiol Imaging 2023; 33:450-455. [PMID: 37811168 PMCID: PMC10556307 DOI: 10.1055/s-0043-57255] [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] [Indexed: 10/10/2023] Open
Abstract
Objective The purpose of this study was to analyze quantitative values of normal and abnormal marrow on T1-weighted images of spine, to propose a ratio for T1 values of abnormal to normal vertebrae, and to assess whether this ratio could be helpful in predicting presence of neoplastic lesions in the spine. Materials and Methods One-hundred randomly selected magnetic resonance imagings of lumbar spine without infection, fracture, and tumor were selected to form normal cohort. A second cohort of 100 metastasis of lumbar spine was identified. Ratio of T1 value of vertebral body to the T1 value of the inferior vertebral body was performed for normal cohort from D11 to L5. Ratio of T1 value of metastasis to adjacent normal vertebral body was done for metastatic cohort. Data was analyzed using standard t -test and kappa was performed for intra- and inter-observer reliability. Results A decline in T1 value of abnormal to normal marrow was seen in patients with metastasis that was statistically significant. We call this the T1 ratio of marrow (TROM). The sensitivity and accuracy with the cutoff value of TROM at 0.7 (92% sensitivity, 97.1% accuracy) are better than at 0.6 (75% sensitivity, 96.2% accuracy) or 0.5 (47% sensitivity, 93.2% accuracy). A subset analysis of the other T1 hypointense benign lesions including atypical hemangiomas and focal marrow hyperplasia, however, revealed overlapping TROM values with the metastatic cohort. Conclusion Using the TROM on T1-weighted images could not confidently differentiate malignant from benign T1 hypointense lesions of the spine.
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Affiliation(s)
- Neha Nischal
- Department of Musculoskeletal Radiology, Royal Orthopedic Hospital, Birmingham, United Kingdom
| | - Mahtab Afzali
- Aston Medical School, Aston University, Birmingham, United Kingdom
| | - Parham Shojaie
- Aston Medical School, Aston University, Birmingham, United Kingdom
| | - Christine Azzopardi
- Department of Musculoskeletal Radiology, Royal Orthopedic Hospital, Birmingham, United Kingdom
| | | | - Shahnawaz Haleem
- Department of Spine Surgery, Royal Orthopedic Hospital, Birmingham, United Kingdom
| | | | - Rajesh Botchu
- Department of Musculoskeletal Radiology, Royal Orthopedic Hospital, Birmingham, United Kingdom
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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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Mourad C, Cosentino A, Nicod Lalonde M, Omoumi P. Advances in Bone Marrow Imaging: Strengths and Limitations from a Clinical Perspective. Semin Musculoskelet Radiol 2023; 27:3-21. [PMID: 36868241 PMCID: PMC9984270 DOI: 10.1055/s-0043-1761612] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2023]
Abstract
Conventional magnetic resonance imaging (MRI) remains the modality of choice to image bone marrow. However, the last few decades have witnessed the emergence and development of novel MRI techniques, such as chemical shift imaging, diffusion-weighted imaging, dynamic contrast-enhanced MRI, and whole-body MRI, as well as spectral computed tomography and nuclear medicine techniques. We summarize the technical bases behind these methods, in relation to the common physiologic and pathologic processes involving the bone marrow. We present the strengths and limitations of these imaging methods and consider their added value compared with conventional imaging in assessing non-neoplastic disorders like septic, rheumatologic, traumatic, and metabolic conditions. The potential usefulness of these methods to differentiate between benign and malignant bone marrow lesions is discussed. Finally, we consider the limitations hampering a more widespread use of these techniques in clinical practice.
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Affiliation(s)
- Charbel Mourad
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Department of Diagnostic and Interventional Radiology, Hôpital Libanais Geitaoui- CHU, Beyrouth, Lebanon
| | - Aurelio Cosentino
- Department of Radiology, Hôpital Riviera-Chablais, Vaud-Valais, Rennaz, Switzerland
| | - Marie Nicod Lalonde
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Patrick Omoumi
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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Heidemeier A, Schloetelburg W, Thurner A, Metz C, Heidemeier H, Rasche L, Martin Kortuem K, Boeckle D, Weiland E, Benkert T, Nickel D, Werner R, Buck AK, Bley TA. Multi-parametric whole-body MRI evaluation discerns vital from non-vital multiple myeloma lesions as validated by 18F-FDG and 11C-methionine PET/CT. Eur J Radiol 2022; 155:110493. [PMID: 36027759 DOI: 10.1016/j.ejrad.2022.110493] [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: 12/29/2021] [Revised: 08/04/2022] [Accepted: 08/15/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE We tested a novel multi-parametric (mp) whole body (WB)-MRI evaluation algorithm for medullary lesions in comparison to positron emission tomography (PET) radiotracers 18F-fluorodeoxyglucose (18F-FDG) and 11C-methionine (11C-MET). METHODS AND MATERIALS This retrospective single-center study included 44 MM patients, who received both 18F-FDG-PET and WB-MRI within ten days. MRI classified focal lesions as vital when showing 1) significant diffusion-restriction, 2) a fat fraction (FF) less than 20 % and 3) homogenous hypointensity on T2-weighted images. On a lesion-by-lesion level the findings were compared to 18F-FDG PET by using a 5-point scoring system (analogous to the Deauville score [DS]). In 24/44 (55 %) patients additional comparison to 11C-MET PET was available. RESULTS Among two radiologists, an excellent inter-observer reliability for mpWB-MRI in a total of 84 medullary lesions was observed (ICC = 1, k = 1, p <.01). 16/17 (94.1 %) MRI-classified vital lesions had a DS of 4 or 5 on either 18F-FDG-PET or 11C-MET-PET. MRI-rated non-vital lesions correlated with PET-based DS ≤ 3. When results of mpWB-MRI were compared to 18F-FDG, a fair inter-observer agreement was recorded (ICC = 0.52, k = 0.53, p <.01), while for 11C-MET, an excellent concordance rate was achieved (ICC = 0.81, k = 0.79, p <.01). CONCLUSION The proposed mpWB-MRI interpretation algorithm allowed to assess tumor activity of myeloma lesions with high inter-observer reproducibility. We observed a substantial concordance between the mpWB-MRI classification of lesions and PET assessment based on a semi-automatically calculated 5-point scoring system analogous to the Deauville scores.
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Affiliation(s)
- Anke Heidemeier
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany.
| | - Wiebke Schloetelburg
- Department of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
| | - Annette Thurner
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
| | - Corona Metz
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
| | - Heike Heidemeier
- Department of Psychology, Private University Göttingen, Weender Landstrasse 3-7, 37073 Göttingen, Germany
| | - Leo Rasche
- Department of Internal Medicine II, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
| | - K Martin Kortuem
- Department of Internal Medicine II, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
| | - David Boeckle
- Department of Internal Medicine II, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
| | - Elisabeth Weiland
- Department of MR Application Predevelopment, Siemens Healthcare, 91301 Erlangen, Germany
| | - Thomas Benkert
- Department of MR Application Predevelopment, Siemens Healthcare, 91301 Erlangen, Germany
| | - Dominik Nickel
- Department of MR Application Predevelopment, Siemens Healthcare, 91301 Erlangen, Germany
| | - Rudolf Werner
- Department of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
| | - Andreas Konrad Buck
- Department of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
| | - Thorsten Alexander Bley
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
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Zarad CA, Elmaaty AAA, Shanab WSA. Dixon chemical shift MR sequences for demonstrating of bone marrow vertebral metastasis. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2022. [DOI: 10.1186/s43055-022-00861-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
This study aimed to investigate the diagnostic performance and clinical utility of different MR Dixon sequences in the characterization of vertebral metastasis in a patient with a history of malignant neoplasm and compare the results with 18-F FDG PET CT. Patients were subjected to MR imaging of the dorsal and lumbosacral spine (1.5 T MR machine) using conventional MR, T2 Dixon and T1 post-contrast Dixon.
Results
This study involved 40 patients (45% female and 55% male) with 161 metastatic lesions and median age 61.5 years. The sensitivities of T1 post-contrast water-only (WO), fat-only (FO) and opposed-phase (OP) Dixon for diagnosis of vertebral metastasis were 92.6%, 89.4% and 83.1%, respectively, while the sensitivity of T2 (WO, OP) Dixon was 78.3% with 100% specificity for both T1 and T2 Dixon. There were excellent positive clinical utilities of T1 post-contrast WO (0.925), FO (0.894) and OP (0.826) Dixon with the good positive clinical utility of T2 Dixon (0.783) for lesion finding. There were fair negative clinical utilities of T1 WO (0.636) and FO (0.553) Dixon with poor negative clinical utilities of T1 OP (0.429), T2 WO and OP (0.375) Dixon for lesion screening. 15% was the best in-phase/opposed-phase ratio for differentiation between metastatic and benign vertebral lesions.
Conclusions
MR Dixon techniques are sensitive and specific for the diagnosis of vertebral metastasis. T1 post-contrast and T2 Dixons have excellent and good positive clinical utilities for lesion finding with fair and poor negative clinical utilities for lesion screening, respectively.
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Whole-body MRI in oncology: can a single anatomic T2 Dixon sequence replace the combination of T1 and STIR sequences to detect skeletal metastasis and myeloma? Eur Radiol 2022; 33:244-257. [PMID: 35925384 DOI: 10.1007/s00330-022-09007-8] [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: 02/09/2022] [Revised: 06/21/2022] [Accepted: 06/30/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVES To compare the diagnostic accuracy of a single T2 Dixon sequence to the combination T1+STIR as anatomical sequences used for detecting tumoral bone marrow lesions in whole-body MRI (WB-MRI) examinations. METHODS Between January 2019 and January 2020, seventy-two consecutive patients (55 men, 17 women, median age = 66 years) with solid (prostate, breast, neuroendocrine) cancers at high risk of metastasis or proven multiple myeloma (MM) prospectively underwent a WB-MRI examination including coronal T1, STIR, T2 Dixon and axial diffusion-weighted imaging sequences. Two radiologists independently assessed the combination of T1+STIR sequences and the fat+water reconstructions from the T2 Dixon sequence. The reference standard was established by consensus reading of WB-MRI and concurrent imaging available at baseline and at 6 months. Repeatability and reproducibility of MRI scores (presence and semi-quantitative count of lesions), image quality (SNR: signal-to-noise, CNR: contrast-to-noise, CRR: contrast-to-reference ratios), and diagnostic characteristics (Se: sensitivity, Sp: specificity, Acc: accuracy) were assessed per-skeletal region and per-patient. RESULTS Repeatability and reproducibility were at least good regardless of the score, region, and protocol (0.67 ≤ AC1 ≤ 0.98). CRR was higher on T2 Dixon fat compared to T1 (p < 0.0001) and on T2 Dixon water compared to STIR (p = 0.0128). In the per-patient analysis, Acc of the T2 Dixon fat+water was higher than that of T1+STIR for the senior reader (Acc = +0.027 [+0.025; +0.029], p < 0.0001) and lower for the junior reader (Acc = -0.029 [-0.031; -0.027], p < 0.0001). CONCLUSIONS A single T2 Dixon sequence with fat+water reconstructions offers similar reproducibility and diagnostic accuracy as the recommended combination of T1+STIR sequences and can be used for skeletal screening in oncology, allowing significant time-saving. KEY POINTS • Replacement of the standard anatomic T1 + STIR WB-MRI protocol by a single T2 Dixon sequence drastically shortens the examination time without loss of diagnostic accuracy. • A protocol based on fat + water reconstructions from a single T2 Dixon sequence offers similar inter-reader agreement and a higher contrast-to-reference ratio for detecting lesions compared to the standard T1 + STIR protocol. • Differences in the accuracy between the two protocols are marginal (+ 3% in favor of the T2 Dixon with the senior reader; -3% against the T2 Dixon with the junior reader).
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Aparisi Gómez MP, Ayuso Benavent C, Simoni P, Musa Aguiar P, Bazzocchi A, Aparisi F. Imaging of Bone Marrow: From Science to Practice. Semin Musculoskelet Radiol 2022; 26:396-411. [PMID: 36103883 DOI: 10.1055/s-0042-1745803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
The study of the bone marrow may pose important challenges, due to its changing features over the life span, metabolic stress, and in cases of disease or treatment. Bone marrow adipocytes serve as storage tissue, but they also have endocrine and paracrine functions, contributing to local and systemic metabolism.Among different techniques, magnetic resonance (MR) has the benefit of imaging bone marrow directly. The use of advanced MR techniques for bone marrow study has rapidly found clinical applications. Beyond the clinical uses, it has opened up pathways to assess and quantify bone marrow components, establishing the groundwork for further study of its implications in physiologic and pathologic conditions.We summarize the features of the bone marrow as an organ, address the different modalities available for its study, with a special focus on MR advanced techniques and their addition to analysis in recent years, and review some of the challenges in interpreting the appearance of bone marrow.
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Affiliation(s)
- Maria Pilar Aparisi Gómez
- Department of Radiology, Auckland City Hospital, Auckland, New Zealand.,Department of Radiology, IMSKE, Valencia, Spain
| | | | - Paolo Simoni
- Department of Radiology, "Reine Fabiola" Children's University Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Paula Musa Aguiar
- Serdil, Clinica de Radiologia e Diagnóstico por Imagem, Porto Alegre - RS, Brazil
| | - Alberto Bazzocchi
- Diagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Francisco Aparisi
- Department of Radiology, Hospital Vithas Nueve de Octubre, Valencia, Spain
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Nguyen JC, Baghdadi S, Pogoriler J, Guariento A, Rajapakse CS, Arkader A. Pediatric Osteosarcoma: Correlation of Imaging Findings with Histopathologic Features, Treatment, and Outcome. Radiographics 2022; 42:1196-1213. [PMID: 35594197 DOI: 10.1148/rg.210171] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Osteosarcoma is the most common primary bone sarcoma in children. Imaging plays a pivotal role in diagnostic workup, surgical planning, and follow-up monitoring for possible disease relapse. Survival depends on multiple factors, including presence or absence of metastatic disease, chemotherapy response, and surgical margins. At diagnosis, radiography and anatomic MRI are used to characterize the primary site of disease, whereas chest CT and whole-body bone scintigraphy and/or PET are used to identify additional sites of disease. Treatment starts with neoadjuvant chemotherapy, followed by en bloc tumor resection and limb reconstruction, and finally, adjuvant chemotherapy. Preoperative planning requires precise tumor delineation, which traditionally has been based on high-spatial-resolution anatomic MRI to identify tumor margins (medullary and extraosseous), skip lesions, neurovascular involvement, and joint invasion. These findings direct the surgical approach and affect the options for reconstruction. For skeletally immature children, the risk of cumulative limb-length discrepancy and need for superior longevity of the reconstruction have led to the advent and preferential use of several pediatric-specific surgical techniques, including rotationplasty, joint preservation surgery, autograft or allograft reconstruction, and extendible endoprostheses. A better understanding of the clinically impactful imaging features can directly and positively influence patient care. Online supplemental material is available for this article. ©RSNA, 2022.
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Affiliation(s)
- Jie C Nguyen
- From the Department of Radiology (J.C.N., A.G.), Division of Orthopaedic Surgery (S.B., A.A.), and Department of Pathology and Laboratory Medicine (J.P.), Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104; and Department of Radiology (C.S.R.), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (J.C.N., J.P., A.A.)
| | - Soroush Baghdadi
- From the Department of Radiology (J.C.N., A.G.), Division of Orthopaedic Surgery (S.B., A.A.), and Department of Pathology and Laboratory Medicine (J.P.), Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104; and Department of Radiology (C.S.R.), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (J.C.N., J.P., A.A.)
| | - Jennifer Pogoriler
- From the Department of Radiology (J.C.N., A.G.), Division of Orthopaedic Surgery (S.B., A.A.), and Department of Pathology and Laboratory Medicine (J.P.), Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104; and Department of Radiology (C.S.R.), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (J.C.N., J.P., A.A.)
| | - Andressa Guariento
- From the Department of Radiology (J.C.N., A.G.), Division of Orthopaedic Surgery (S.B., A.A.), and Department of Pathology and Laboratory Medicine (J.P.), Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104; and Department of Radiology (C.S.R.), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (J.C.N., J.P., A.A.)
| | - Chamith S Rajapakse
- From the Department of Radiology (J.C.N., A.G.), Division of Orthopaedic Surgery (S.B., A.A.), and Department of Pathology and Laboratory Medicine (J.P.), Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104; and Department of Radiology (C.S.R.), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (J.C.N., J.P., A.A.)
| | - Alexandre Arkader
- From the Department of Radiology (J.C.N., A.G.), Division of Orthopaedic Surgery (S.B., A.A.), and Department of Pathology and Laboratory Medicine (J.P.), Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104; and Department of Radiology (C.S.R.), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (J.C.N., J.P., A.A.)
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Goller SS, Erber B, Fink N, Dürr HR, Knösel T, Ricke J, Baur-Melnyk A. Hematopoietic islands mimicking osteoblastic metastases within the axial skeleton. BMC Musculoskelet Disord 2022; 23:448. [PMID: 35550061 PMCID: PMC9097177 DOI: 10.1186/s12891-022-05402-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 05/04/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Hyperplasia of the hematopoietic bone marrow in the appendicular skeleton is common. In contrast, focal hematopoietic islands within the axial skeleton are a rare entity and can confuse with osteoblastic metastases. This study aimed to characterize typical MRI and CT findings of hematopoietic islands in distinction from osteoblastic metastases to help both radiologists and clinicians, on the one hand, not to overdiagnose this entity and, on the other hand, to decide on a reasonable work-up. METHODS We retrospectively analyzed the imaging findings of 14 hematopoietic islands of the axial skeleton in ten patients (nine females, median age = 65.5 years [range, 49-74]) who received both MRI and CT at initial diagnosis between 2006 and 2020. CT-guided biopsy was performed in five cases to confirm the diagnosis, while the other five patients received long-term MRI follow-up (median follow-up = 28 months [range, 6-96 months]). Diffusion-weighted imaging was available in three, chemical shift imaging respectively 18F- fluorodeoxyglucose PET/CT in two, and Technetium 99 m skeletal scintigraphy in one of the patients. RESULTS All lesions were small (mean size = 1.72 cm2) and showed moderate hypointense signals on T1- and T2-weighted MRI sequences. They appeared isointense to slightly hyperintense on STIR images and slightly enhanced after gadolinium administration. To differentiate this entity from osteoblastic metastases, CT provides important additional information, as hematopoietic islands do not show sclerosis. CONCLUSIONS Hematopoietic islands within the axial skeleton can occur and mimic osteoblastic metastases. However, the combination of MRI and CT allows for making the correct diagnosis in most cases.
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Affiliation(s)
- Sophia Samira Goller
- Department of Radiology, University Hospital, LMU Munich, 81377, Munich, Germany.
| | - Bernd Erber
- Department of Radiology, University Hospital, LMU Munich, 81377, Munich, Germany
| | - Nicola Fink
- Department of Radiology, University Hospital, LMU Munich, 81377, Munich, Germany
| | - Hans Roland Dürr
- Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital, LMU Munich, 81377, Munich, Germany
| | - Thomas Knösel
- Institute of Pathology, University Hospital, LMU Munich, 81377, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, 81377, Munich, Germany
| | - Andrea Baur-Melnyk
- Department of Radiology, University Hospital, LMU Munich, 81377, Munich, Germany
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11
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Bajaj G, Callan AK, Weinschenk RC, Chhabra A. Multiparametric Evaluation of Soft Tissue Sarcoma: Current Perspectives and Future Directions. Semin Roentgenol 2022; 57:212-231. [DOI: 10.1053/j.ro.2022.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 01/31/2022] [Accepted: 02/02/2022] [Indexed: 11/11/2022]
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12
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Elangovan SM, Meyers AB. Pearls and Pitfalls of Imaging of the Developing Pediatric Skeleton: Differentiating Normal and Pathology With MRI. Semin Ultrasound CT MR 2022; 43:73-87. [PMID: 35164912 DOI: 10.1053/j.sult.2021.05.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Developmental changes occurring in the pediatric skeleton throughout childhood cause imaging appearances that may be confused with pathology. Knowledge of the typical pattern of red to yellow bone marrow conversion and areas of normal developmental irregular ossification is essential for radiologists interpreting musculoskeletal imaging in children to avoid mistaking normal findings for disease. Here we review the normal conversion of hematopoietic to yellow marrow on pediatric MRI and illustrate how MRI can distinguish the normal areas of irregular ossification from various pathology that can occur at and around growth centers in the developing skeleton.
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Affiliation(s)
- Stacey M Elangovan
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Arthur B Meyers
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
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Chang CY, Garner HW, Ahlawat S, Amini B, Bucknor MD, Flug JA, Khodarahmi I, Mulligan ME, Peterson JJ, Riley GM, Samim M, Lozano-Calderon SA, Wu JS. Society of Skeletal Radiology- white paper. Guidelines for the diagnostic management of incidental solitary bone lesions on CT and MRI in adults: bone reporting and data system (Bone-RADS). Skeletal Radiol 2022; 51:1743-1764. [PMID: 35344076 PMCID: PMC9283187 DOI: 10.1007/s00256-022-04022-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 02/21/2022] [Accepted: 02/21/2022] [Indexed: 02/02/2023]
Abstract
The purpose of this article is to present algorithms for the diagnostic management of solitary bone lesions incidentally encountered on computed tomography (CT) and magnetic resonance (MRI) in adults. Based on review of the current literature and expert opinion, the Practice Guidelines and Technical Standards Committee of the Society of Skeletal Radiology (SSR) proposes a bone reporting and data system (Bone-RADS) for incidentally encountered solitary bone lesions on CT and MRI with four possible diagnostic management recommendations (Bone-RADS1, leave alone; Bone-RADS2, perform different imaging modality; Bone-RADS3, perform follow-up imaging; Bone-RADS4, biopsy and/or oncologic referral). Two algorithms for CT based on lesion density (lucent or sclerotic/mixed) and two for MRI allow the user to arrive at a specific Bone-RADS management recommendation. Representative cases are provided to illustrate the usability of the algorithms.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | - Jim S. Wu
- Beth Israel Deaconess Medical Center, Boston, USA
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14
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Greve T, Rayudu NM, Dieckmeyer M, Boehm C, Ruschke S, Burian E, Kloth C, Kirschke JS, Karampinos DC, Baum T, Subburaj K, Sollmann N. Finite Element Analysis of Osteoporotic and Osteoblastic Vertebrae and Its Association With the Proton Density Fat Fraction From Chemical Shift Encoding-Based Water-Fat MRI - A Preliminary Study. Front Endocrinol (Lausanne) 2022; 13:900356. [PMID: 35898459 PMCID: PMC9313539 DOI: 10.3389/fendo.2022.900356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 05/11/2022] [Indexed: 11/16/2022] Open
Abstract
PURPOSE Osteoporosis is prevalent and entails alterations of vertebral bone and marrow. Yet, the spine is also a common site of metastatic spread. Parameters that can be non-invasively measured and could capture these alterations are the volumetric bone mineral density (vBMD), proton density fat fraction (PDFF) as an estimate of relative fat content, and failure displacement and load from finite element analysis (FEA) for assessment of bone strength. This study's purpose was to investigate if osteoporotic and osteoblastic metastatic changes in lumbar vertebrae can be differentiated based on the abovementioned parameters (vBMD, PDFF, and measures from FEA), and how these parameters correlate with each other. MATERIALS AND METHODS Seven patients (3 females, median age: 77.5 years) who received 3-Tesla magnetic resonance imaging (MRI) and multi-detector computed tomography (CT) of the lumbar spine and were diagnosed with either osteoporosis (4 patients) or diffuse osteoblastic metastases (3 patients) were included. Chemical shift encoding-based water-fat MRI (CSE-MRI) was used to extract the PDFF, while vBMD was extracted after automated vertebral body segmentation using CT. Segmentation masks were used for FEA-based failure displacement and failure load calculations. Failure displacement, failure load, and PDFF were compared between patients with osteoporotic vertebrae versus patients with osteoblastic metastases, considering non-fractured vertebrae (L1-L4). Associations between those parameters were assessed using Spearman correlation. RESULTS Median vBMD was 59.3 mg/cm3 in osteoporotic patients. Median PDFF was lower in the metastatic compared to the osteoporotic patients (11.9% vs. 43.8%, p=0.032). Median failure displacement and failure load were significantly higher in metastatic compared to osteoporotic patients (0.874 mm vs. 0.348 mm, 29,589 N vs. 3,095 N, p=0.034 each). A strong correlation was noted between PDFF and failure displacement (rho -0.679, p=0.094). A very strong correlation was noted between PDFF and failure load (rho -0.893, p=0.007). CONCLUSION PDFF as well as failure displacement and load allowed to distinguish osteoporotic from diffuse osteoblastic vertebrae. Our findings further show strong associations between PDFF and failure displacement and load, thus may indicate complimentary pathophysiological associations derived from two non-invasive techniques (CSE-MRI and CT) that inherently measure different properties of vertebral bone and marrow.
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Affiliation(s)
- Tobias Greve
- Department of Neurosurgery, University Hospital, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- *Correspondence: Tobias Greve,
| | - Nithin Manohar Rayudu
- Engineering Product Development (EPD) Pillar, Singapore University of Technology and Design (SUTD), Singapore, Singapore
| | - Michael Dieckmeyer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Christof Boehm
- Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Stefan Ruschke
- Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Egon Burian
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Christopher Kloth
- Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany
| | - Jan S. Kirschke
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Dimitrios C. Karampinos
- Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Thomas Baum
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Karupppasamy Subburaj
- Engineering Product Development (EPD) Pillar, Singapore University of Technology and Design (SUTD), Singapore, Singapore
- Sobey School of Business, Saint Mary’s University, Halifax, NS, Canada
| | - Nico Sollmann
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
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15
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Omoumi P. The Dixon method in musculoskeletal MRI: from fat-sensitive to fat-specific imaging. Skeletal Radiol 2022; 51:1365-1369. [PMID: 34928411 PMCID: PMC9098547 DOI: 10.1007/s00256-021-03950-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 10/11/2021] [Accepted: 10/31/2021] [Indexed: 02/02/2023]
Affiliation(s)
- Patrick Omoumi
- grid.8515.90000 0001 0423 4662Department of Radiology, Lausanne University Hospital and University of Lausanne, Bugnon 46, Lausanne, CH-1011 Switzerland
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16
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Bone Tumors. Radiol Clin North Am 2022; 60:239-252. [DOI: 10.1016/j.rcl.2021.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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17
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Oh E, Kim HJ, Kwon JW, Yoon YC, Kim HS. Differentiation between spinal subchondral bone metastasis with focal pathologic endplate fracture and oedematous Schmorl's node. J Med Imaging Radiat Oncol 2021; 66:913-919. [PMID: 34854219 DOI: 10.1111/1754-9485.13365] [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: 08/24/2021] [Accepted: 11/18/2021] [Indexed: 11/30/2022]
Abstract
INTRODUCTION We aimed to identify imaging-based findings that can differentiate between spinal subchondral bone metastasis with focal pathologic endplate fracture and oedematous Schmorl's nodes that have been histopathologically confirmed. METHODS Between March 2010 and April 2016, 11 patients who had undergone spinal magnetic resonance (MR) imaging or computed tomography (CT) with final radiologic reports that included 'subchondral bone metastasis with focal pathologic endplate fracture' or 'edematous Schmorl's node' and had also undergone percutaneous imaging-guided spinal biopsies were included. Two radiologists retrospectively evaluated the following imaging features in consensus: size, location, presence of sclerotic margin, presence of intralesional or perilesional enhancement and opposite endplate enhancement of the involved disc, presence of disc height loss and presence of metabolic uptake at a corresponding lesion on nuclear medicine imaging. RESULTS A total of 11 patients, including six patients with spinal subchondral bone metastasis with focal pathologic endplate fracture and five patients with oedematous Schmorl's nodes, were included in this study (median age, 58 years; range, 50-63 years; six men). Sclerotic margin (P = 0.002) and enhancement on the opposite endplate of the involved disc (P = 0.047) were significantly different between oedematous Schmorl's node and subchondral bone metastasis with focal pathologic endplate fracture. CONCLUSION Sclerotic margin and enhancement on the opposite endplate of the involved disc suggest oedematous Schmorl's node rather than subchondral bone metastasis with focal pathologic endplate fracture. Decreased disc height is likely to be an oedematous Schmorl's node rather than subchondral bone metastasis with focal pathologic endplate fracture.
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Affiliation(s)
- Eunsun Oh
- Department of Radiology, Soonchunhyang University Seoul Hospital, Seoul, Korea
| | - Hyun-Joo Kim
- Department of Radiology, Soonchunhyang University Seoul Hospital, Seoul, Korea
| | - Jong Won Kwon
- Department of Radiology, Dongcheondongkang Hospital, Ulsan, Korea
| | - Young Cheol Yoon
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hyun Su Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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18
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Wiens J. [Skeletal changes due to bone metastases : Morphology and selected differential diagnoses]. Radiologe 2021; 61:1115-1124. [PMID: 34709436 DOI: 10.1007/s00117-021-00908-1] [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] [Accepted: 08/12/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND The detection or exclusion of bone metastases is one of the most frequent tasks faced by the radiologist. The decision has significant and long-term consequences for the patient, therapeutic decisions and prognosis. For these reasons, specialized knowledge of the morphology, diagnostics and differential diagnoses of skeletal metastases is essential for the radiologist. OBJECTIVE The various manifestations of skeletal metastases are elaborated and some representative nonmetastatic differential diagnoses are presented. IMAGING The way in which metastases are radiologically depicted depends on the primary tumor, the localization of a metastasis, the interaction between metastasis and host bone, concomitant diseases, already initiated treatment and the individual circumstances of the patient. The basis of radiological diagnostics is still projection radiography, albeit with limitations. Computed tomography (CT) and magnetic resonance imaging (MRI) are firmly established methods in diagnostic imaging. Invasive diagnostics, preferably a CT-guided biopsy, are frequently unavoidable. CONCLUSION Various radiological procedures form the basis of the diagnostics of bone metastases. In many cases a definite diagnosis, i.e. presence or absence of bone metastases, is possible. In cases in which a suspected diagnosis with justified differential diagnoses arises, the radiologist, referring physician and other specialists to be consulted should advise on the benefits, risks and therapeutic consequences of an invasive procedure, usually by CT-guided biopsy.
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Affiliation(s)
- J Wiens
- Klinik für bildgebende Diagnostik und interventionelle Radiologie, Klinikum Wolfsburg, Wolfsburg, Deutschland.
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19
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Do contrast-enhanced and advanced MRI sequences improve diagnostic accuracy for indeterminate lipomatous tumors? Radiol Med 2021; 127:90-99. [PMID: 34697728 DOI: 10.1007/s11547-021-01420-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 10/14/2021] [Indexed: 12/24/2022]
Abstract
PURPOSE Benign, intermediate-grade and malignant tumors sometimes have overlapping imaging and clinical characteristics. The purpose of this study was to evaluate the added value of contrast-enhanced sequences (dynamic contrast enhancement (DCE)), diffusion-weighted imaging (DWI), and chemical shift imaging (CSI) to noncontrast MRI sequences for the characterization of indeterminate lipomatous tumors. MATERIALS AND METHODS Thirty-two consecutive patients with histologically proven peripheral lipomatous tumors were retrospectively evaluated. Two musculoskeletal radiologists recorded the MRI features in three sessions: (1) with noncontrast T1-weighted and fluid-sensitive sequences; (2) with addition of static pre- and post-contrast 3D volumetric T1-weighted sequences; and (3) with addition of DCE, DWI, and CSI. After each session, readers recorded a diagnosis (benign, intermediate/atypical lipomatous tumor (ALT), or malignant/dedifferentiated liposarcoma (DDL)). Categorical imaging features (presence of septations, nodules, contrast enhancement) and quantitative metrics (apparent diffusion coefficient values, CSI signal loss) were recorded. RESULTS For 32 tumors, the diagnostic accuracy of both readers did not improve with the addition of contrast-enhanced sequences, DWI, or CSI (53% (17/32) session 1; 50% (16/30) session 2; 53% (17/32) session 3). Noncontrast features, including thick septations (p = 0.025) and nodules ≥ 1 cm (p < 0.001), were useful for differentiating benign tumors from ALTs and DDLs, as were DWI (p = 0.01) and CSI (p = 0.009) metrics. CONCLUSION The addition of contrast-enhanced sequences (static, DCE), DWI, and CSI to a conventional, noncontrast MRI protocol did not improve diagnostic accuracy for differentiating benign, intermediate-grade, and malignant lipomatous tumors. However, we identified potentially useful imaging features by DCE, DWI, and CSI that may help distinguish these entities.
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20
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The role of chemical shift magnetic resonance imaging in differentiating osteoporotic benign and malignant vertebral marrow lesions. Pol J Radiol 2021; 86:e468-e473. [PMID: 34567292 PMCID: PMC8449562 DOI: 10.5114/pjr.2021.108541] [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: 07/19/2020] [Accepted: 08/04/2020] [Indexed: 11/17/2022] Open
Abstract
Purpose To evaluate the usefulness of chemical shift imaging (CSI) in differentiating benign osteoporotic and malignant vertebral marrow lesions. Material and methods Patients undergoing spinal magnetic resonance imaging (MRI) for back pain, which showed altered marrow signal intensity on conventional MRI sequences, were included in the study. Patients with acute traumatic vertebral fractures, infective spondylodiscitis, paravertebral collections, etc. were excluded. The patients underwent CSI. In-phase and opposed-phase images were taken to calculate the signal intensity ratio (SIR) of the abnormal vertebra. The SIR of the mean signal intensity measured on opposed-phase to mean signal intensity measured on in-phase images was measured and recorded. Results The studied population included 30 patients, in whom 58 vertebrae were accessed, which included 38 dorsal, 18 lumbar, 1 sacral, and 1 cervical. Out of 58 vertebrae, 46 (79%) were malignant and 12 (20%) were benign. The mean CSI/SIR of malignant lesions was 0.96 and the mean SIR of benign lesions was 0.76. Conclusions Conventional MRI sequences cannot always differentiate between benign and malignant lesions. So newer sequences like CSI have been developed. CSI SIR can be used as a new tool in differentiating benign osteoporotic and malignant vertebral marrow lesions.
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21
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Chaturvedi A. Pediatric skeletal diffusion-weighted magnetic resonance imaging, part 2: current and emerging applications. Pediatr Radiol 2021; 51:1575-1588. [PMID: 34018037 DOI: 10.1007/s00247-021-05028-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 01/07/2021] [Accepted: 02/17/2021] [Indexed: 01/07/2023]
Abstract
Diffusion-weighted imaging (DWI) complements the more established T1, fluid-sensitive and gadolinium-enhanced magnetic resonance pulse sequences used to assess several pediatric skeletal pathologies. There is optimism that the technique might not just be complementary but could serve as an alternative to gadolinium and radiopharmaceuticals for several indications. As a non-contrast, free-breathing and noninvasive technique, DWI is especially valuable in children and is readily incorporated into existing MRI protocols. The indications for skeletal DWI in children include distinguishing between benign and malignant skeletal processes, initial assessment and treatment response assessment for osseous sarcomas, and assessment of inflammatory arthropathies and femoral head ischemia, among others. A notable challenge of diffusion MRI is the dynamic nature of the growing pediatric skeleton. It is important to consider the child's age when placing DWI findings in context with potential marrow pathology. This review article summarizes the current and evolving applications of DWI for assessing the pediatric skeleton, rounding off the discussion with evolving directions for further research in this realm.
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Affiliation(s)
- Apeksha Chaturvedi
- Division of Pediatric Radiology, Department of Imaging Sciences, University of Rochester Medical Center, 601 Elmwood Ave., Rochester, NY, 14642, USA.
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22
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Jahanvi V, Kelkar A. Chemical shift imaging: An indispensable tool in diagnosing musculoskeletal pathologies. SA J Radiol 2021; 25:2061. [PMID: 34007477 PMCID: PMC8111635 DOI: 10.4102/sajr.v25i1.2061] [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: 12/07/2020] [Accepted: 03/01/2021] [Indexed: 12/01/2022] Open
Abstract
Chemical shift imaging (CSI) is an important fat-suppression technique in magnetic resonance imaging (MRI); it is used routinely in abdominal imaging to detect the presence of intralesional fat. Its utility in musculoskeletal imaging has recently gained interest as a technique that is complementary to routine imaging. It is believed to aid in diagnosing and differentiating various osseous pathologies. This review describes the role of CSI as an imaging technique for diagnosing various osseous and periarticular pathologies in different clinical scenarios.
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Affiliation(s)
- Vandana Jahanvi
- Department of Radiodiagnosis, Bharati Vidyapeeth Medical College, Pune, India
| | - Abhimanyu Kelkar
- Department of Radiodiagnosis, Bharati Vidyapeeth Medical College, Pune, India
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23
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Musa Aguiar P, Zarantonello P, Aparisi Gómez MP. Differentiation Between Osteoporotic And Neoplastic Vertebral Fractures: State Of The Art And Future Perspectives. Curr Med Imaging 2021; 18:187-207. [PMID: 33845727 DOI: 10.2174/1573405617666210412142758] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 02/25/2021] [Accepted: 02/26/2021] [Indexed: 11/22/2022]
Abstract
Vertebral fractures are a common condition, occurring in the context of osteoporosis and malignancy. These entities affect a group of patients in the same age range; clinical features may be indistinct and symptoms non-existing, and thus present challenges to diagnosis. In this article, we review the use and accuracy of different imaging modalities available to characterize vertebral fracture etiology, from well-established classical techniques, to the role of new and advanced imaging techniques, and the prospective use of artificial intelligence. We also address the role of imaging on treatment. In the context of osteoporosis, the importance of opportunistic diagnosis is highlighted. In the near future, the use of automated computer-aided diagnostic algorithms applied to different imaging techniques may be really useful to aid on diagnosis.
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Affiliation(s)
- Paula Musa Aguiar
- Serdil, Clinica de Radiologia e Diagnóstico por Imagem; R. São Luís, 96 - Santana, Porto Alegre - RS, 90620-170. Brazil
| | - Paola Zarantonello
- Department of paediatric orthopedics and traumatology, IRCCS Istituto Ortopedico Rizzoli; Via G. C. Pupilli 1, 40136 Bologna. Italy
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24
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Maraghelli D, Brandi ML, Matucci Cerinic M, Peired AJ, Colagrande S. Edema-like marrow signal intensity: a narrative review with a pictorial essay. Skeletal Radiol 2021; 50:645-663. [PMID: 33029648 PMCID: PMC7875957 DOI: 10.1007/s00256-020-03632-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 09/24/2020] [Accepted: 09/24/2020] [Indexed: 02/02/2023]
Abstract
The term edema-like marrow signal intensity (ELMSI) represents a general term describing an area of abnormal signal intensity at MRI. Its appearance includes absence of clear margins and the possibility of exceeding well-defined anatomical borders (for example, physeal scars). We can define "ELMSI with unknown cause" an entity where the characteristic MR appearance is associated with the absence of specific signs of an underlying condition. However, it is more often an important finding indicating the presence of an underlying disease, and we describe this case as "ELMSI with known cause." It presents a dynamic behavior and its evolution can largely vary. It initially corresponds to an acute inflammatory response with edema, before being variably replaced by more permanent marrow remodeling changes such as fibrosis or myxomatous connective tissue that can occur over time. It is important to study ELMSI variations over time in order to evaluate the activity state and therapeutic response of an inflammatory chronic joint disease, the resolution of a trauma, and the severity of an osteoarthritis. We propose a narrative review of the literature dealing with various subjects about this challenging topic that is imaging, temporal evolution, etiology, differential diagnoses, and possible organization, together with a pictorial essay.
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Affiliation(s)
- Davide Maraghelli
- Department of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit n. 2, University of Florence - Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, Florence, 50134, Italy
| | - Maria Luisa Brandi
- Department of Experimental and Clinical Medicine, Unit of Bone and Mineral Diseases, University of Florence - Azienda Ospedaliero- Universitaria Careggi, Largo Brambilla 3, Florence, 50134, Italy
| | - Marco Matucci Cerinic
- Department of Experimental and Clinical Biomedical Sciences Division of Rheumatology, University of Florence - Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, Florence, 50134, Italy
| | - Anna Julie Peired
- Department of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit n. 2, University of Florence - Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, Florence, 50134, Italy
| | - Stefano Colagrande
- Department of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit n. 2, University of Florence - Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, Florence, 50134, Italy.
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25
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Schmeel FC, Enkirch SJ, Luetkens JA, Faron A, Lehnen N, Sprinkart AM, Schmeel LC, Radbruch A, Attenberger U, Kukuk GM, Mürtz P. Diagnostic Accuracy of Quantitative Imaging Biomarkers in the Differentiation of Benign and Malignant Vertebral Lesions : Combination of Diffusion-Weighted and Proton Density Fat Fraction Spine MRI. Clin Neuroradiol 2021; 31:1059-1070. [PMID: 33787957 PMCID: PMC8648653 DOI: 10.1007/s00062-021-01009-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 02/26/2021] [Indexed: 11/30/2022]
Abstract
Purpose To compare and combine the diagnostic performance of the apparent diffusion coefficient (ADC) derived from diffusion-weighted imaging (DWI) and proton density fat fraction (PDFF) derived from chemical-shift encoding (CSE)-based water-fat magnetic resonance imaging (MRI) for distinguishing benign and malignant vertebral bone marrow lesions (VBML). Methods A total of 55 consecutive patients with 53 benign (traumatic, inflammatory and primary) and 36 malignant (metastatic and hematologic) previously untreated VBMLs were prospectively enrolled in this IRB-approved study and underwent sagittal DWI (single-shot spin-echo echo-planar with multi-slice short TI inversion recovery fat suppression) and CSE-based MRI (gradient-echo 6‑point modified Dixon) in addition to routine clinical spine MRI at 1.5 T or 3.0 T. Diagnostic reference standard was established according to histopathology or imaging follow-up. The ADC = ADC (0, 800) and PDFF = fat / (water + fat) were calculated voxel-wise and examined for differences between benign and malignant lesions. Results The ADC and PDFF values of malignant lesions were significantly lower compared to benign lesions (mean ADC 861 × 10−6 mm2/s vs. 1323 × 10−6 mm2/s, p < 0.001; mean PDFF 3.1% vs. 28.2%, p < 0.001). The areas under the curve (AUC) and diagnostic accuracies were 0.847 (p < 0.001) and 85.4% (cut-off at 1084.4 × 10−6 mm2/s) for ADC and 0.940 (p < 0.001) and 89.9% for PDFF (cut-off at 7.8%), respectively. The combined use of ADC and PDFF improved the diagnostic accuracy to 96.6% (malignancy if ADC ≤ 1118.2 × 10−6 mm2/s and PDFF ≤ 20.0%, otherwise benign). Conclusion Quantitative evaluation of both ADC and PDFF was useful in differentiating benign VBMLs from malignancy. The combination of ADC and PDFF improved the diagnostic performance and yielded high diagnostic accuracy for the differentiation of benign and malignant VBMLs.
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Affiliation(s)
- Frederic Carsten Schmeel
- Department of Neuroradiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Venusberg-Campus 1, 53127, Bonn, Germany. .,Research Group Clinical Neuroimaging, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany.
| | - Simon Jonas Enkirch
- Department of Neuroradiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Julian Alexander Luetkens
- Department of Radiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Anton Faron
- Department of Radiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Nils Lehnen
- Department of Neuroradiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.,Research Group Clinical Neuroimaging, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Alois Martin Sprinkart
- Department of Radiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Leonard Christopher Schmeel
- Department of Radiotherapy and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Alexander Radbruch
- Department of Neuroradiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.,Research Group Clinical Neuroimaging, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Ulrike Attenberger
- Department of Radiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Guido Matthias Kukuk
- Department of Radiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.,Department of Radiology, Cantonal Hospital Graubuenden, Chur, Switzerland
| | - Petra Mürtz
- Department of Radiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
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van Vucht N, Santiago R, Pressney I, Saifuddin A. Role of in-phase and out-of-phase chemical shift MRI in differentiation of non-neoplastic versus neoplastic benign and malignant marrow lesions. Br J Radiol 2021; 94:20200710. [PMID: 33571012 DOI: 10.1259/bjr.20200710] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To determine its ability of in-phase (IP) and out-of-phase (OOP) chemical shift imaging (CSI) to distinguish non-neoplastic marrow lesions, benign bone tumours and malignant bone tumours. METHODS CSI was introduced into our musculoskeletal tumour protocol in May 2018 to aid in characterisation of suspected bone tumours. The % signal intensity (SI) drop between IP and OOP sequences was calculated and compared to the final lesion diagnosis, which was classified as non-neoplastic (NN), benign neoplastic (BN) or malignant neoplastic (MN). RESULTS The study included 174 patients (84 males; 90 females: mean age 44.2 years, range 2-87 years). Based on either imaging features (n = 105) or histology (n = 69), 44 lesions (25.3%) were classified as NN, 66 (37.9%) as BN and 64 (36.8%) as MN. Mean % SI drop on OOP for NN lesions was 36.6%, for BN 3.19% and for MN 3.24% (p < 0.001). The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy of CSI for differentiating NN from neoplastic lesions were 65.9%, 94.6%, 80.6%, 89.1%% and 87.4% respectively, and for differentiating BN from MN were 9.1%, 98.4%, 85.7%, 51.2 and 53.1% respectively. CONCLUSION CSI is accurate for differentiating non-neoplastic and neoplastic marrow lesions, but is of no value in differentiating malignant bone tumours from non-fat containing benign bone tumours. ADVANCES IN KNOWLEDGE CSI is of value for differentiating non-neoplastic marrow lesions from neoplastic lesions, but not for differentiating benign bone tumours from malignant bone tumours as has been previously reported.
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Affiliation(s)
- Niels van Vucht
- Centre for Medical Imaging, University College London Hospitals, London, UK
| | - Rodney Santiago
- Department of Medical Imaging, Royal National Orthopaedic Hospital, Stanmore, UK
| | - Ian Pressney
- Department of Medical Imaging, Royal National Orthopaedic Hospital, Stanmore, UK
| | - Asif Saifuddin
- Department of Medical Imaging, Royal National Orthopaedic Hospital, Stanmore, UK
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Jeon KJ, Lee C, Choi YJ, Han SS. Assessment of bone marrow fat fractions in the mandibular condyle head using the iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL-IQ) method. PLoS One 2021; 16:e0246596. [PMID: 33635882 PMCID: PMC7909693 DOI: 10.1371/journal.pone.0246596] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 01/22/2021] [Indexed: 12/25/2022] Open
Abstract
The prevalence of temporomandibular joint disorder (TMD) is gradually increasing, and magnetic resonance imaging (MRI) is becoming increasingly common as a modality used to diagnose TMD. Edema and osteonecrosis in the bone marrow of the mandibular condyle have been considered to be precursors of osteoarthritis, but these changes are not evaluated accurately and quantitatively on routine MRI. The iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL-IQ) method, as a cutting-edge MRI technique, can separate fat and water using three asymmetric echo times and the three-point Dixon method. The purpose of this study was to analyze the quantitative fat fraction (FF) in the mandibular condyle head using the IDEAL-IQ method. Seventy-nine people who underwent MRI using IDEAL-IQ were investigated and divided into 1) the control group, without TMD symptoms, and 2) the TMD group, with unilateral temporomandibular joint (TMJ) pain. In both groups, the FF of the condyle head in the TMJ was analyzed by two oral and maxillofacial radiologists. In the TMD group, 29 people underwent cone-beam computed tomography (CBCT) and the presence or absence of bony changes in the condylar head was evaluated. The FF measurements of the condyle head using IDEAL-IQ showed excellent inter-observer and intra-observer agreement. The average FF of the TMD group was significantly lower than that of the control group (p < 0.05). In the TMD group, the average FF values of joints with pain and joints with bony changes were significantly lower than those of joints without pain or bony changes, respectively (p < 0.05). The FF using IDEAL-IQ in the TMJ can be helpful for the quantitative diagnosis of TMD.
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Affiliation(s)
- Kug Jin Jeon
- Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea
| | - Chena Lee
- Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea
| | - Yoon Joo Choi
- Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea
| | - Sang-Sun Han
- Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea
- * E-mail:
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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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Takasu M, Tanitame K, Baba Y, Akiyama Y, Tamura T, Kondo S, Maeda S, Sakai A, Awai K. Does chemical shift imaging offer a biomarker for the diagnosis and assessment of disease severity in multiple myeloma?: A cross-sectional study. Medicine (Baltimore) 2021; 100:e24358. [PMID: 33578532 PMCID: PMC7886478 DOI: 10.1097/md.0000000000024358] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 12/22/2020] [Indexed: 01/05/2023] Open
Abstract
To investigate whether chemical shift imaging (CSI) is useful for differentiating myelomatous infiltration from hematopoietic bone marrow (BM) and for quantitatively assessing disease severity.In this retrospective study, spinal MRI, including a sagittal iterative decomposition of water and fat with echo asymmetry and least-squares estimation T2 fast spin-echo sequence, was performed on 76 myeloma patients (45 men, 67.0 ± 11.4 years; 31 women, 66.5 ± 11.0 years) and 30 control subjects (20 men, 67.0 ± 8.4 years; 10 women, 67.0 ± 9.2 years). The fat-signal fraction (FF) and mean signal dropout ratio (DR) were calculated from lumbar BM that contained no focal lesions. The BM plasma cell percentage (BMPC%) and serological data were obtained. As DR is highest when FF = 50%, the patients were divided into 2 groups: a water-dominant group (FF < 50%) and a fat-dominant group (FF > 50%).Serum monoclonal protein (M protein), β2-microglobulin, and BMPC% were significantly higher in the water-dominant group than in the fat-dominant group. In the water-dominant group, DR correlated significantly with BMPC% and M protein, whereas in the control group, DR showed a weak correlation with age but no correlation with other clinical factors. No significant differences in any clinical data were seen between high and low DR.CSI proved ineffective for differentiating myelomatous infiltration from hematopoietic BM. For myeloma patients with relatively high BM cellularity, a small signal drop on opposed-phase images indicated a higher tumor burden. For BM with relatively low cellularity, disease severity was not reflected by CSI.
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Affiliation(s)
- Miyuki Takasu
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University
| | - Keizo Tanitame
- Department of Radiology, Hiroshima Prefectural Hospital, Hiroshima
| | - Yasutaka Baba
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University
| | - Yuji Akiyama
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University
| | - Takayuki Tamura
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University
| | - Shota Kondo
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University
| | - Shogo Maeda
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University
| | - Akira Sakai
- Department of Radiation Life Sciences, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Kazuo Awai
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University
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Yun JS, Lee HD, Kwack KS, Park S. Use of proton density fat fraction MRI to predict the radiographic progression of osteoporotic vertebral compression fracture. Eur Radiol 2020; 31:3582-3589. [PMID: 33245495 DOI: 10.1007/s00330-020-07529-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 08/20/2020] [Accepted: 11/17/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVE This study evaluated the diagnostic performance of the proton density fat fraction (PDFF) in predicting the progression of osteoporotic vertebral compression fractures (OVCFs). METHODS The cohort in this retrospective study consisted of 48 patients with OVCFs who underwent spine MRI that included PDFF between December 2016 and June 2018. The patients were divided into two groups (with versus without OVCF progression, based on the radiographic results obtained at the 6-month follow-up examination). Two musculoskeletal radiologists independently calculated the PDFF of the fracture and the PDFF ratio (fracture PDFF/normal vertebrae PDFF) using regions of interest. The mean values of these parameters were compared between the two groups, and the receiver operating characteristic curves were analysed. RESULTS The mean age was significantly higher in the group with OVCF progression (71.6 ± 8.4 years) than in the group without (64.8 ± 10.5 years) (p = 0.018). According to reader 1, the PDFF ratio was significantly lower in the group with OVCF progression versus that without OVCF progression (0.38 ± 0.13 vs 0.51 ± 0.20; p = 0.009), whereas the difference in the PDFF itself was not statistically significant. The PDFF ratio [area under the curve (AUC) = 0.723; 95% confidence interval (CI), 0.575-0.842] had a larger AUC than did the PDFF (AUC = 0.667; 95% CI, 0.516-0.796). The optimal cut-off value of the PDFF ratio for predicting OVCF progression was 0.42; this threshold corresponded to sensitivity, specificity, and accuracy values of 84.0%, 60.9%, and 72.9%, respectively. CONCLUSION The age and PDFF ratio can be used to predict OVCF progression. KEY POINTS • Chemical shift-encoded magnetic resonance imaging provides quantitative parameters for predicting OVCF progression. • The PDFF ratio is significantly lower in patients with OVCF progression. • The PDFF ratio is superior to the PDFF for predicting OVCF progression.
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Affiliation(s)
- Jae Sung Yun
- Division of Musculoskeletal Radiology, Department of Radiology, Ajou University School of Medicine, 164, World cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, South Korea
- Musculoskeletal Imaging Laboratory, Ajou University Medical Center, Suwon, South Korea
| | - Han-Dong Lee
- Department of Orthopaedic Surgery, Ajou University School of Medicine, Suwon, South Korea
| | - Kyu-Sung Kwack
- Division of Musculoskeletal Radiology, Department of Radiology, Ajou University School of Medicine, 164, World cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, South Korea
- Musculoskeletal Imaging Laboratory, Ajou University Medical Center, Suwon, South Korea
| | - Sunghoon Park
- Division of Musculoskeletal Radiology, Department of Radiology, Ajou University School of Medicine, 164, World cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16499, South Korea.
- Musculoskeletal Imaging Laboratory, Ajou University Medical Center, Suwon, South Korea.
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Differentiating atypical hemangiomas and vertebral metastases: a field-of-view (FOV) and FOCUS intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) study. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2020; 29:3187-3193. [PMID: 33078268 DOI: 10.1007/s00586-020-06632-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 09/15/2020] [Accepted: 10/07/2020] [Indexed: 12/20/2022]
Abstract
PURPOSE Some atypical vertebral hemangiomas (VHs) may mimic metastases on routine MRI and can result in misdiagnosis and ultimately to additional imaging, biopsy and unnecessary costs. The purpose of this study is to assess the utility of intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) on account of field-of-view optimized and constrained undistorted single shot (FOCUS) in distinguishing atypical VHs and vertebral metastases. METHODS A total of 25 patients with vertebral metastases and 25 patients with atypical VHs were confirmed by clinical follow-up or pathology. IVIM-DWI imaging was performed at different b values (0, 30, 50, 100, 150, 200, 400, 600, 800, 1000 mm2/s). IVIM parameters [the true diffusion coefficient (D), pseudodiffusion coefficient (D*), standard apparent diffusion coefficient (ADC), and perfusion fraction (f)] were calculated and compared between two groups by using Student's t test. A receiver operating characteristic analysis was performed. RESULTS Quantitative analysis of standard ADC and D parameters showed significantly lower values in vertebral metastases when compared to atypical hemangiomas [ADC value: (0.70 ± 0.12) × 10-3 mm2/s vs (1.14 ± 0.28) × 10-3 mm2/s; D value: (0.47 ± 0.07) × 10-3 mm2/s vs (0.76 ± 0.14) × 10-3 mm2/s, all P < 0.01]. The sensitivity and specificity of D value were 93.8% and 92.3%, respectively. CONCLUSION The standard ADC value and D value may be used as an indicator to distinguish vertebral metastases from atypical VHs. FOCUS IVIM-derived parameters provide potential value in the quantitatively differentiating vertebral metastases from vertebral atypical hemangiomas.
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Howe BM, Broski SM, Littrell LA, Pepin KM, Wenger DE. Quantitative Musculoskeletal Tumor Imaging. Semin Musculoskelet Radiol 2020; 24:428-440. [PMID: 32992370 DOI: 10.1055/s-0040-1708825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
The role of quantitative magnetic resonance imaging (MRI) and positron emission tomography/computed tomography (PET/CT) techniques continues to grow and evolve in the evaluation of musculoskeletal tumors. In this review we discuss the MRI quantitative techniques of volumetric measurement, chemical shift imaging, diffusion-weighted imaging, elastography, spectroscopy, and dynamic contrast enhancement. We also review quantitative PET techniques in the evaluation of musculoskeletal tumors, as well as virtual surgical planning and three-dimensional printing.
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Affiliation(s)
- B Matthew Howe
- Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | | | | | - Kay M Pepin
- Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | - Doris E Wenger
- Department of Radiology, Mayo Clinic, Rochester, Minnesota
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Visser JJ, Goergen SK, Klein S, Noguerol TM, Pickhardt PJ, Fayad LM, Omoumi P. The Value of Quantitative Musculoskeletal Imaging. Semin Musculoskelet Radiol 2020; 24:460-474. [DOI: 10.1055/s-0040-1710356] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
AbstractMusculoskeletal imaging is mainly based on the subjective and qualitative analysis of imaging examinations. However, integration of quantitative assessment of imaging data could increase the value of imaging in both research and clinical practice. Some imaging modalities, such as perfusion magnetic resonance imaging (MRI), diffusion MRI, or T2 mapping, are intrinsically quantitative. But conventional morphological imaging can also be analyzed through the quantification of various parameters. The quantitative data retrieved from imaging examinations can serve as biomarkers and be used to support diagnosis, determine patient prognosis, or monitor therapy.We focus on the value, or clinical utility, of quantitative imaging in the musculoskeletal field. There is currently a trend to move from volume- to value-based payments. This review contains definitions and examines the role that quantitative imaging may play in the implementation of value-based health care. The influence of artificial intelligence on the value of quantitative musculoskeletal imaging is also discussed.
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Affiliation(s)
- Jacob J. Visser
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Stacy K. Goergen
- Department of Imaging, Monash Imaging, Clayton, Victoria, Australia
- School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - Stefan Klein
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | | | - Perry J. Pickhardt
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Laura M. Fayad
- The Russell H. Morgan Department of Radiology & Radiological Science, The Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Patrick Omoumi
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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Anomalous signal intensity increase on out-of-phase chemical shift imaging: a manifestation of marrow mineralisation? Skeletal Radiol 2020; 49:1269-1275. [PMID: 32198527 DOI: 10.1007/s00256-020-03420-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 03/11/2020] [Accepted: 03/11/2020] [Indexed: 02/02/2023]
Abstract
OBJECTIVE In-phase (IP) and out-of-phase (OOP) chemical shift imaging (CSI) is an established technique for clarifying the nature of indeterminate bone marrow lesions, a signal intensity (SI) drop of > 20% at 1.5 tesla (T) or > 25% on 3 T on the OOP sequence being consistent with a non-neoplastic process. Occasionally, SI increase is seen on OOP sequences. The aim of this study is to determine if this is related to marrow sclerosis or matrix mineralisation. MATERIALS AND METHODS In 184 cases, the SI change on OOP was calculated. For patients in whom the SI on OOP increased compared with the IP sequence, available CT studies and radiographs were reviewed to look for marrow sclerosis and/or matrix mineralisation. RESULTS Forty out of 184 patients (34.25%) showed an anomalous increase in SI on the OOP sequence. CT studies were available in 27 cases (67.5%), of which medullary sclerosis was seen in 20 (74.1%) while matrix mineralisation was seen in a further 2 cases. Review of radiographs demonstrated matrix mineralisation in 6 cases, while punctate signal void consistent with chondral calcification was seen on MRI in 2 more cases. Based on either typical imaging features (n = 22) or histology (n = 18), 7 lesions (17.5%) were classed as non-neoplastic, 18 (45%) as benign neoplasms and 15 (37.5%) as malignant neoplasms. CONCLUSION When assessing focal marrow lesions with CSI, anomalous SI increase may be seen on the OOP sequence in approximately one-third of cases. In over 75% of such cases, CT or radiographs demonstrate either diffuse marrow sclerosis or matrix mineralisation.
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Sasiponganan C, Yan K, Pezeshk P, Xi Y, Chhabra A. Advanced MR imaging of bone marrow: quantification of signal alterations on T1-weighted Dixon and T2-weighted Dixon sequences in red marrow, yellow marrow, and pathologic marrow lesions. Skeletal Radiol 2020; 49:541-548. [PMID: 31606776 DOI: 10.1007/s00256-019-03303-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Revised: 08/19/2019] [Accepted: 08/20/2019] [Indexed: 02/02/2023]
Abstract
OBJECTIVES To quantify and compare signal intensity (SI) changes on T1-weighted (W) and T2W Dixon imaging in yellow marrow, red marrow, and bone marrow lesions. MATERIALS AND METHODS A total of 141 patients (77 controls, 64 lesions-33 benign, 31 malignant) between January 2016 and December 2017 were retrospectively identified. For the control group, fixed 2-cm2 region of interests (ROI) were drawn at L5, bilateral ilium and femurs on in-phase and opposed-phase T1W and T2W Dixon images. For the lesion group, ROIs of best fit were drawn around each lesion on in-phase and opposed-phase T2W Dixon images. SI changes between in-phase and opposed phase maps for each group were compared. Inter-reader analysis was performed. RESULTS Yellow marrow exhibited smaller SI changes as compared to red marrow on both T1W and T2W Dixon imaging at all locations (p < 0.0001) except at L5 on T2W Dixon imaging (p = 0.206). Both benign and malignant lesions showed significantly smaller SI changes as compared to both yellow (p = 0.0087, p < 0.0001) and red marrow (p = 0.0004, p < 0.0001) on T2W Dixon imaging. Malignant lesions exhibited smaller SI change as compared to benign lesions on T2W Dixon imaging (p = 0.0005). Signal intensity loss on both red and yellow marrow were smaller on T1W Dixon as compared to T2W Dixon (0.49-0.64, 0.27-0.31 vs. 0.70-0.74, 0.48-0.71). Inter-reader agreements were excellent (0.91-0.97). CONCLUSIONS SI change calculated from T2-weighted Dixon imaging can adequately differentiate between yellow marrow, red marrow, and osseous lesions, both benign and malignant.
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Affiliation(s)
- Chayanit Sasiponganan
- Radiology Department, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA.
| | - Kevin Yan
- Radiology Department, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA
| | - Parham Pezeshk
- Radiology Department, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA
| | - Yin Xi
- Radiology Department, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA
| | - Avneesh Chhabra
- Radiology Department, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA.,Orthopedics Department, UT Southwestern Medical Center, Dallas, TX, USA
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Takasu M, Kondo S, Akiyama Y, Takahashi Y, Maeda S, Baba Y, Kawase T, Ichinohe T, Awai K. Assessment of early treatment response on MRI in multiple myeloma: Comparative study of whole-body diffusion-weighted and lumbar spinal MRI. PLoS One 2020; 15:e0229607. [PMID: 32106239 PMCID: PMC7046272 DOI: 10.1371/journal.pone.0229607] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Accepted: 02/10/2020] [Indexed: 12/17/2022] Open
Abstract
Objectives To compare remission status at completion of chemotherapy for multiple myeloma (MM) with changes in total diffusion volume (tDV) calculated from whole-body diffusion-weighted imaging (WB-DWI) and fat fraction (FF) of lumbar bone marrow (BM) by modified Dixon Quant (mDixon Quant) soon after induction of chemotherapy, and to assess the predictive value of MRI. Methods Fifty patients (mean age, 66.9 ± 10.5 years) with symptomatic myeloma were examined before and after two cycles of chemotherapy. From WB-DWI data, tDV was obtained with the threshold for positive BM involvement. Mean FF was calculated from lumbar BM using the mDixon Quant sequence. At the completion of chemotherapy, patients were categorized into a CR/very good PR (VGPR) group (n = 15; mean age, 67.6 ± 10.3 years) and a PR, SD or PD group (n = 35; mean age, 69.1 ± 8.6 years). ROC curves were plotted to assess performance in predicting achievement of CR/VGPR. Results At second examination, serum M protein, β2-microglobulin, and tDV were significantly decreased and hemoglobin, mean ADC, and FF were significantly increased in the CR/VGPR group and serum M protein was significantly increased in the PR/SD/PD group. The general linear model demonstrated that percentage changes in FF and M protein contributed significantly to achieving CR/VGPR (P = 0.02, P = 0.04, respectively). AUCs of ROC curves were 0.964 for FF and 0.847 for M protein. Conclusions Early change in FF of lumbar BM and serum M protein soon after induction of chemotherapy contributed significantly to prediction of CR/VGPR.
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Affiliation(s)
- Miyuki Takasu
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan
- * E-mail:
| | - Shota Kondo
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan
| | - Yuji Akiyama
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan
| | - Yuji Takahashi
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan
| | - Shogo Maeda
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan
| | - Yasutaka Baba
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan
| | - Takakazu Kawase
- Department of Hematology and Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan
| | - Tatsuo Ichinohe
- Department of Hematology and Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan
| | - Kazuo Awai
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan
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Almeida SD, Santinha J, Oliveira FPM, Ip J, Lisitskaya M, Lourenço J, Uysal A, Matos C, João C, Papanikolaou N. Quantification of tumor burden in multiple myeloma by atlas-based semi-automatic segmentation of WB-DWI. Cancer Imaging 2020; 20:6. [PMID: 31931880 PMCID: PMC6958755 DOI: 10.1186/s40644-020-0286-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Accepted: 01/06/2020] [Indexed: 12/31/2022] Open
Abstract
Background Whole-body diffusion weighted imaging (WB-DWI) has proven value to detect multiple myeloma (MM) lesions. However, the large volume of imaging data and the presence of numerous lesions makes the reading process challenging. The aim of the current study was to develop a semi-automatic lesion segmentation algorithm for WB-DWI images in MM patients and to evaluate this smart-algorithm (SA) performance by comparing it to the manual segmentations performed by radiologists. Methods An atlas-based segmentation was developed to remove the high-signal intensity normal tissues on WB-DWI and to restrict the lesion area to the skeleton. Then, an outlier threshold-based segmentation was applied to WB-DWI images, and the segmented area’s signal intensity was compared to the average signal intensity of a low-fat muscle on T1-weighted images. This method was validated in 22 whole-body DWI images of patients diagnosed with MM. Dice similarity coefficient (DSC), sensitivity and positive predictive value (PPV) were computed to evaluate the SA performance against the gold standard (GS) and to compare with the radiologists. A non-parametric Wilcoxon test was also performed. Apparent diffusion coefficient (ADC) histogram metrics and lesion volume were extracted for the GS segmentation and for the correctly identified lesions by SA and their correlation was assessed. Results The mean inter-radiologists DSC was 0.323 ± 0.268. The SA vs GS achieved a DSC of 0.274 ± 0.227, sensitivity of 0.764 ± 0.276 and PPV 0.217 ± 0.207. Its distribution was not significantly different from the mean DSC of inter-radiologist segmentation (p = 0.108, Wilcoxon test). ADC and lesion volume intraclass correlation coefficient (ICC) of the GS and of the correctly identified lesions by the SA was 0.996 for the median and 0.894 for the lesion volume (p < 0.001). The duration of the lesion volume segmentation by the SA was, on average, 10.22 ± 0.86 min, per patient. Conclusions The SA provides equally reproducible segmentation results when compared to the manual segmentation of radiologists. Thus, the proposed method offers robust and efficient segmentation of MM lesions on WB-DWI. This method may aid accurate assessment of tumor burden and therefore provide insights to treatment response assessment.
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Affiliation(s)
- Sílvia D Almeida
- Computational Clinical Imaging Group, Champalimaud Foundation, Centre for the Unknown, Av. Brasília, Doca de Pedrouços, 1400-038, Lisbon, Portugal
| | - João Santinha
- Computational Clinical Imaging Group, Champalimaud Foundation, Centre for the Unknown, Av. Brasília, Doca de Pedrouços, 1400-038, Lisbon, Portugal
| | - Francisco P M Oliveira
- Radiopharmacology, Champalimaud Centre for the Unknown, Av. Brasília, 1400-038, Lisbon, Portugal
| | - Joana Ip
- Radiology Department, Champalimaud Centre for the Unknown, Av. Brasília, 1400-038, Lisbon, Portugal
| | - Maria Lisitskaya
- Radiology Department, Champalimaud Centre for the Unknown, Av. Brasília, 1400-038, Lisbon, Portugal
| | - João Lourenço
- Radiology Department, Champalimaud Centre for the Unknown, Av. Brasília, 1400-038, Lisbon, Portugal
| | - Aycan Uysal
- Radiology Department, Champalimaud Centre for the Unknown, Av. Brasília, 1400-038, Lisbon, Portugal
| | - Celso Matos
- Radiology Department, Champalimaud Centre for the Unknown, Av. Brasília, 1400-038, Lisbon, Portugal
| | - Cristina João
- Hematology Department, Champalimaud Centre for the Unknown, Av. Brasília, 1400-038, Lisbon, Portugal.,Immunology Department, Nova Medical School, Nova University of Lisbon, 1169-056, Lisbon, Portugal
| | - Nikolaos Papanikolaou
- Computational Clinical Imaging Group, Champalimaud Foundation, Centre for the Unknown, Av. Brasília, Doca de Pedrouços, 1400-038, Lisbon, Portugal.
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van Vucht N, Santiago R, Lottmann B, Pressney I, Harder D, Sheikh A, Saifuddin A. The Dixon technique for MRI of the bone marrow. Skeletal Radiol 2019; 48:1861-1874. [PMID: 31309243 DOI: 10.1007/s00256-019-03271-4] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 06/25/2019] [Accepted: 06/27/2019] [Indexed: 02/02/2023]
Abstract
Dixon sequences are established as a reliable MRI technique that can be used for problem-solving in the assessment of bone marrow lesions. Unlike other fat suppression methods, Dixon techniques rely on the difference in resonance frequency between fat and water and in a single acquisition, fat only, water only, in-phase and out-of-phase images are acquired. This gives Dixon techniques the unique ability to quantify the amount of fat within a bone lesion, allowing discrimination between marrow-infiltrating and non-marrow-infiltrating lesions such as focal nodular marrow hyperplasia. Dixon can be used with gradient echo and spin echo techniques, both two-dimensional and three-dimensional imaging. Another advantage is its rapid acquisition time, especially when using traditional two-point Dixon gradient echo sequences. Overall, Dixon is a robust fat suppression method that can also be used with intravenous contrast agents. After reviewing the available literature, we would like to advocate the implementation of additional Dixon sequences as a problem-solving tool during the assessment of bone marrow pathology.
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Affiliation(s)
- Niels van Vucht
- Department of Medical Imaging, Royal National Orthopaedic Hospital, Brockley Hill, Stanmore, HA7 4LP, UK.
| | - Rodney Santiago
- Department of Medical Imaging, Royal National Orthopaedic Hospital, Brockley Hill, Stanmore, HA7 4LP, UK
| | - Bianca Lottmann
- Department of Medical Imaging, Royal National Orthopaedic Hospital, Brockley Hill, Stanmore, HA7 4LP, UK
| | - Ian Pressney
- Department of Medical Imaging, Royal National Orthopaedic Hospital, Brockley Hill, Stanmore, HA7 4LP, UK
| | - Dorothee Harder
- Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Petersgraben 4, 4031, Basel, Switzerland
| | - Adnan Sheikh
- Department of Medical Imaging, The Ottawa Hospital, Civic Campus, 1053 Carling Avenue, Ottawa, Ontario, K1Y 4E9, Canada
| | - Asif Saifuddin
- Department of Medical Imaging, Royal National Orthopaedic Hospital, Brockley Hill, Stanmore, HA7 4LP, UK
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Differentiation of Schmorl Nodes From Bone Metastases of the Spine: Use of Apparent Diffusion Coefficient Derived From DWI and Fat Fraction Derived From a Dixon Sequence. AJR Am J Roentgenol 2019; 213:W228-W235. [DOI: 10.2214/ajr.18.21003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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40
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Chen Y, Yu Q, La Tegola L, Mei Y, Chen J, Huang W, Zhang X, Guglielmi G. Intravoxel incoherent motion MR imaging for differentiating malignant lesions in spine: A pilot study. Eur J Radiol 2019; 120:108672. [PMID: 31550637 DOI: 10.1016/j.ejrad.2019.108672] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 08/22/2019] [Accepted: 09/14/2019] [Indexed: 10/26/2022]
Abstract
PURPOSE To determine the diagnostic potential of Intravoxel Incoherent Motion (IVIM) MRI for differentiating malignant spinal tumours from acute vertebral compression fractures and tuberculous spondylitis, and to compare IVIM with diffusion-weighted imaging (DWI) and chemical shift imaging (CSI). METHODS The Institutional Review Board approved this prospective study, and informed consent was obtained. IVIM MRI, DWI, and CSI at 1.5 T were performed in 25 patients with 12 acute compression fractures, 14 tuberculous spondylitis, and 18 malignant spinal tumours. The parameters of these techniques were assessed using the Kruskal-Wallis test. The diagnostic performance of the parameters was evaluated using receiver operating characteristic (ROC) analysis. RESULTS ADC, SIR, Dslow, Dfast, and f values of malignant tumours were significantly different from those of acute compression fracture (for all, p < 0.05). The mean Dslow and Dfast values of malignant spinal tumours had significant differences compared with those of tuberculous spondylitis (for all, p < 0.05). However, no significant differences were observed in any quantitative parameters between the acute compression fracture and the tuberculous spondylitis (p > 0.05). Dslow•f showed the highest AUC value of 0.980 (95%CI: 0.942-1.000) in differentiating acute compression fracture and malignant spinal tumours. Dslow showed the highest AUC value of 0.877 (95%CI: 0.713-0.966) in differentiating tuberculous spondylitis and malignant spinal tumours. CONCLUSIONS IVIM MR imaging may be helpful for differentiating malignant spinal tumours from acute vertebral compression fractures and tuberculous spondylitis.
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Affiliation(s)
- Yanjun Chen
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics. Guangdong Province), Guangzhou, China; Institute of Clinical Anatomy, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Qinqin Yu
- Institute of Clinical Anatomy, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Luciana La Tegola
- Università degli Studi di Foggia, Scuola di Specializzazione di Area Medica, Department of Radiology, Foggia, Italy
| | | | - Jialing Chen
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics. Guangdong Province), Guangzhou, China
| | - Wenhua Huang
- Institute of Clinical Anatomy, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Xiaodong Zhang
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics. Guangdong Province), Guangzhou, China.
| | - Giuseppe Guglielmi
- Università degli Studi di Foggia, Scuola di Specializzazione di Area Medica, Department of Radiology, Foggia, Italy
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Neuroimaging and Stereotactic Body Radiation Therapy (SBRT) for Spine Metastasis. Top Magn Reson Imaging 2019; 28:85-96. [PMID: 31022051 DOI: 10.1097/rmr.0000000000000199] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Historically, management options for spinal metastases include surgery for stabilization and decompression and/or external beam radiation therapy (EBRT). EBRT is palliative in nature, as it lacks accurate targeting such that the prescribed radiation doses must be limited in order to maintain safety. Modern advancement in imaging and radiotherapy technology have facilitated the development of stereotactic body radiation therapy (SBRT), which provides increased targeted precision for radiation delivery to tumors resulting in lower overall toxicity, particularly to regional structures such as the spinal cord and esophagus, while delivering higher, more effective, and radically ablative radiation doses.Over the past decade, SBRT has been increasingly utilized as a method of treating spinal metastases either as the primary modality or following surgical intervention in both de novo and reirradiation setting. Numerous studies suggest that SBRT is associated with an 80% to 90% rate of 1-year local control across clinical scenarios. For example, studies of SBRT as the primary treatment modality suggest long-term local control rate of 80% to 95% for spinal metastases. Similarly, SBRT in the adjuvant setting following surgery is associated with local control rates ranging from 70% to 100%. Furthermore, because SBRT allows for lower dose to the spinal cord, it has also been used in patients who have had prior radiation therapy, with studies showing 66% to 93% local control in this scenario.
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AKMAN B, ATA KORKMAZ HA, SARI A. Efficacy of chemical shift MRI for differentiating diffuse red bone marrow reconversion
and hematological malignancies. Turk J Med Sci 2019; 49:644-652. [PMID: 30889945 PMCID: PMC7018244 DOI: 10.3906/sag-1812-125] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Background/aim The main purpose of our study was to determine the efficacy of chemical shift imaging (CSI) for differentiating
diffuse red bone marrow reconversion (RBMR) and hematological malignancies. We also aimed to calculate the cut-off value for these
entities with similar imaging features in routine magnetic resonance (MR) sequences. Materials and methods A total of 54 patients were included: 17 patients (31.4%) with hematological malignancies (group 1), 16 patients
(29.6%) with RBMR (group 2), and 21 patients (38.0%) with no clinical and hematological malignancies (control group). Patients with
no pathological data or completed two-year follow-up and children were excluded from the study. An experienced radiologist on MRI
evaluated the images blindly for final diagnosis. Pathologic results were determined as gold standard. Regions of interests (ROI) were
placed on the vertebrae in CSI and signal intensity ratios (SIR) were calculated. The cut-off value was calculated using receiver operating
characteristic (ROC) analysis. Results SIR values were 0.97 ± 0.16, 0.69 ± 0.31 and 0.28 ± 0.35 (P < 0.001) for GI, G2, and G3, respectively. The cut-off value was 0.82
(P < 0.001). The sensitivity rate was 83.3% (AUC: 58%–96%), specificity was 87% (AUC: 58–98). Conclusion CSI may be a valuable diagnostic tool for differentiating diffuse RBMR and hematological malignancies.
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Affiliation(s)
- Burcu AKMAN
- Department of Radiology, Kanuni Research and Education Hospital, TrabzonTurkey
- * To whom correspondence should be addressed. E-mail:
| | | | - Ahmet SARI
- Department of Radiology, Faculty of Medicine, Farabi Hospital, Karadeniz Technical University, TrabzonTurkey
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Machine Learning for Diagnosis of Hematologic Diseases in Magnetic Resonance Imaging of Lumbar Spines. Sci Rep 2019; 9:6046. [PMID: 30988360 PMCID: PMC6465258 DOI: 10.1038/s41598-019-42579-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 04/03/2019] [Indexed: 01/20/2023] Open
Abstract
We aimed to assess feasibility of a support vector machine (SVM) texture classifier to discriminate pathologic infiltration patterns from the normal bone marrows in MRI. This retrospective study included 467 cases, which were split into a training (n = 360) and a test set (n = 107). A sagittal T1-weighted lumbar spinal MR image was normalized by an intervertebral disk, and bone marrows were segmented. The various kernel functions and SVM input dimensions were experimented to construct the most optimal classifier model. The accuracy and sensitivity increased as the number of training set sizes increased from 180 to 360. The test set was analyzed by SVM and two independent readers, and the accuracy and sensitivity of the SVM classifier, reader 1 and reader 2 were 82.2% and 85.5%, 79.4% and 82.3%, and 82.2% and 83.9%, respectively. The area under receiver operating characteristic curve (AUC) of the SVM classifier, reader 1 and reader 2 were 0.895, 0.879 and 0.880, respectively. The SVM texture classifier produced comparable performance to radiologists in isolating the hematologic diseases, which could support inexperienced physicians with spinal MRI to screen patients with marrow diseases, who need further diagnostic work-ups to make final decisions.
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Fukuda T, Wengler K, de Carvalho R, Boonsri P, Schweitzer ME. MRI biomarkers in osseous tumors. J Magn Reson Imaging 2019; 50:702-718. [PMID: 30701624 DOI: 10.1002/jmri.26672] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 01/15/2019] [Accepted: 01/15/2019] [Indexed: 12/12/2022] Open
Abstract
Although radiography continues to play a critical role in osseous tumor assessment, there have been remarkable advances in cross-sectional imaging. MRI has taken a lead in this assessment due to high tissue contrast and spatial resolution, which are well suited for bone lesion assessment. More recently, although somewhat lagging other organ systems, quantitative parameters have shown promising potential as biomarkers for osseous tumors. Among these sequences are chemical shift imaging (CSI), apparent diffusion coefficient (ADC), and intravoxel incoherent motion (IVIM) from diffusion-weighted imaging (DWI), quantitative dynamic contrast enhanced (DCE)-MRI, and magnetic resonance spectroscopy (MRS). In this article, we review the background and recent roles of these quantitative MRI biomarkers for osseous tumors. Level of Evidence: 3 Technical Efficacy Stage: 3 J. MAGN. RESON. IMAGING 2019. J. Magn. Reson. Imaging 2019;50:702-718.
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Affiliation(s)
- Takeshi Fukuda
- Department of Radiology, Stony Brook University, Stony Brook, New York, USA
| | - Kenneth Wengler
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York, USA
| | - Ruben de Carvalho
- Department of Radiology, Stony Brook University, Stony Brook, New York, USA
| | - Pattira Boonsri
- Department of Radiology, Stony Brook University, Stony Brook, New York, USA
| | - Mark E Schweitzer
- Department of Radiology, Stony Brook University, Stony Brook, New York, USA
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Abstract
BACKGROUND Radiological imaging is important in the preoperative diagnosis of many forms of spinal pathology and plays a fundamental role in the assessment of p.o. effects, which can be verified on the spinal column as well as on the surrounding soft tissues, depending on the imaging method used. AIM The article provides an overview of the current status and possibilities of radiological diagnostic methods for the verification of possibly recommended spine surgery in the context of degenerative, inflammatory-infectious, post-traumatic or p.o. pathologies and changes in the spine: X‑rays, computed tomography (CT), magnetic resonance imaging (MRI). The supplementary nuclear medicine procedures (scintigraphy, PET[-CT], SPECT, etc.) which may be required for special questions are not discussed. MATERIAL AND METHODS The merits and limitations of the techniques used in the investigation of advanced degenerative spinal pathologies and post-traumatic conditions are discussed, with multidetector CT being the focus of attention in spinal clearance for traumatic injuries. In most cases of spinal infection, MRI images, as a central diagnostic tool, show typical findings such as destruction of adjacent endplates, bone marrow and intervertebral disc abnormalities, and paravertebral or epidural abscesses. However, it is not always easy to diagnose a spinal infection, especially if atypical MR patterns of infectious spondylitis are present. Knowledge of them means misdiagnosis and improper treatment can be avoided. RESULTS It is shown that high-quality modern radiological examinations are essential for diagnosis and p.o. management, as these provide answers to the main questions in the treatment: Is the entity/injury stable or unstable, acute or old, benign or malign; is there a myelopathy or p.o. complication? DISCUSSION The main indications for p.o. diagnostic imaging, difficulties such as metal artefact formation, and potential pitfalls are analyzed. Entity-specific radiological image patterns, imaging algorithms and differential diagnostic peculiarities are presented and discussed based on current literature and selected case studies.
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Affiliation(s)
- Uwe H W Schütz
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Deutschland. .,Orthopädie und Schmerzmedizin am Grünen Turm, Grüner-Turm-Str. 4-10, 88212, Ravensburg, Deutschland.
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Shetty AS, Sipe AL, Zulfiqar M, Tsai R, Raptis DA, Raptis CA, Bhalla S. In-Phase and Opposed-Phase Imaging: Applications of Chemical Shift and Magnetic Susceptibility in the Chest and Abdomen. Radiographics 2019; 39:115-135. [DOI: 10.1148/rg.2019180043] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Anup S. Shetty
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Adam L. Sipe
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Maria Zulfiqar
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Richard Tsai
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Demetrios A. Raptis
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Constantine A. Raptis
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Sanjeev Bhalla
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
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Kumar NM, Ahlawat S, Fayad LM. Chemical shift imaging with in-phase and opposed-phase sequences at 3 T: what is the optimal threshold, measurement method, and diagnostic accuracy for characterizing marrow signal abnormalities? Skeletal Radiol 2018; 47:1661-1671. [PMID: 29936558 DOI: 10.1007/s00256-018-2999-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Revised: 05/22/2018] [Accepted: 05/31/2018] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To determine the threshold signal drop on 3-T chemical shift imaging (CSI), with in-phase (IP) and opposed-phase (OP) sequences, for accurately identifying bone marrow replacement with 100% sensitivity, and determine a clinically useful measurement method for deriving such a threshold. MATERIALS AND METHODS From a convenience series of 157 MRIs, 36 cases with histologically proven marrow-replacing lesions and 22 sites of red marrow (histologically proven (2) or with minimum 6-month stability) with 3-Tesla CSI were included. Two musculoskeletal radiologists performed two measurement methods (first: multiple algorithmic ROIs at the top, middle, and bottom of lesions (M-ROI); second: an ROI was drawn where there appeared to be the least opposed-phase signal reduction qualitatively/visually (Q-ROI)). Lesional and red marrow signal change (%,[(IP-OP)signal/IP signal]*100) was determined. Statistical analyses included Student's t test, Cohen's kappa, and receiver operator characteristic curve generation. RESULTS By M-ROI, lesion signal change was - 0.508% (confidence interval (CI) = - 5.537:4.521) and 1.348% (CI = - 3.541:6.311) for readers 1 and 2. By Q-ROI, lesion signal change was - 11.03% (CI = - 17.01:- 5.046) and - 5.657% (CI = - 12.36:1.048) for readers 1 and 2. For all M-ROI and Q-ROI measurement strategies, signal change between lesional tissue and red marrow was significantly different (p < 0.0001). QROI produced the best composite sensitivities and specificities with a maximized Youden index of 0.955-1. A threshold signal drop of 25% with Q-ROI produced at least 100%/86% sensitivity/specificity for both readers for identifying marrow replacement. CONCLUSIONS For 3-T CSI, a single visually targeted measurement using a 25% threshold is accurate for identifying marrow-replacing lesions.
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Affiliation(s)
- Neil M Kumar
- Dakota Radiology, 2929 5th St #100, Rapid City, SD, 57701, USA. .,The Russell H. Morgan Department of Radiology & Radiological Science, The Johns Hopkins Medical Institutions, 600 North Wolfe Street, Baltimore, MD, 21287, USA.
| | - Shivani Ahlawat
- The Russell H. Morgan Department of Radiology & Radiological Science, The Johns Hopkins Medical Institutions, 600 North Wolfe Street, Baltimore, MD, 21287, USA
| | - Laura M Fayad
- The Russell H. Morgan Department of Radiology & Radiological Science, The Johns Hopkins Medical Institutions, 600 North Wolfe Street, Baltimore, MD, 21287, USA.,Department of Orthopedic Surgery, The Johns Hopkins Medical Institutions, 601 North Caroline Street, Baltimore, MD, 21287, USA.,Department of Oncology, The Johns Hopkins Medical Institutions, 601 North Caroline Street, Baltimore, MD, 21287, USA
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Tang H, Ahlawat S, Fayad LM. Multiparametric MR Imaging of Benign and Malignant Bone Lesions. Magn Reson Imaging Clin N Am 2018; 26:559-569. [DOI: 10.1016/j.mric.2018.06.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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50
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Diagnostic Performance of In-Phase and Opposed-Phase Chemical-Shift Imaging for Differentiating Benign and Malignant Vertebral Marrow Lesions: A Meta-Analysis. AJR Am J Roentgenol 2018; 211:W188-W197. [DOI: 10.2214/ajr.17.19306] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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