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Whole-body MRI to assess bone involvement in prostate cancer and multiple myeloma: comparison of the diagnostic accuracies of the T1, short tau inversion recovery (STIR), and high b-values diffusion-weighted imaging (DWI) sequences.

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Larbi, Ahmed [UCL] Omoumi, Patrick Pasoglou, Vasiliki [UCL] Michoux, Nicolas [UCL] Triqueneaux, Perrine [UCL] Tombal, Bertrand [UCL] Lecouvet, Frédéric [UCL]

(eng) PURPOSE: To compare the diagnostic accuracy of whole-body T1, short tau inversion recovery (STIR), high b-value diffusion-weighted imaging (DWI), and sequence combinations to detect bone involvement in prostate cancer (PCa) and multiple myeloma (MM) patients. MATERIALS AND METHODS: We included 50 consecutive patients with PCa at high risk for metastasis and 47 consecutive patients with a histologically confirmed diagnosis of MM who received whole-body MRI at two institutions from January to December 2015. Coronal T1, STIR, and reconstructed coronal high b-values DWI were obtained for all patients. Two musculoskeletal radiologists read individual sequences, pairs of sequences (T1-DWI, T1-STIR, and STIR-DWI), and all combined (T1-STIR-DWI) to detect bone involvement. Receiver operating characteristic curve analysis was used to assess diagnostic performance according to a "best valuable comparator" combining baseline and 6-month imaging and clinical and biological data. Interobserver agreement was calculated. RESULTS: Interobserver agreement for individual and combined MRI sequences was very good in the PCa group and ranged from good to very good in the MM group (0.76-1.00). In PCa patients, T1-DWI, T1-STIR, and T1-STIR-DWI showed the highest performance (sensitivity = 100% [95% CI = 90.5-100%], specificity = 100% [75.3-100%]). In MM patients, the highest performance was achieved by T1-STIR-DWI (sensitivity = 100% [88.4-100%], specificity = 94.1% [71.3-100%]). T1-STIR-DWI significantly outperformed all sequences (p < 0.05) except T1-DWI (p = 0.49). CONCLUSION: In PCa patients, a combination of either T1-DWI or T1-STIR sequences is not inferior to a combination of three sequences to detect bone metastases. In MM, T1-STIR-DWI and T1-DWI had the highest diagnostic performance for detecting bone involvement. KEY POINTS: • The sequences used in Whole Body MRI studies to detect bone involvement in prostate cancer and myeloma were evaluated. • In prostate cancer, any pairwise combinations of T1, STIR, and DWI have high diagnostic value. • In myeloma, the combinations T1-STIR-DWI or T1-DWI sequences should be used.

Document type Article de périodique (Journal article) – Article de recherche
Access type Accès libre
Publication date 2019
Language Anglais
Journal information "European Radiology" - Vol. 29, no. 8, p. 4503-4513 (2019)
Peer reviewed yes
Publisher Springer International ((Germany) Berlin)
issn 0938-7994
e-issn 1432-1084
Publication status Publié
Affiliations UCL - SSS/IREC/CHEX - Pôle de chirgurgie expérimentale et transplantation
UCL - SSS/IREC/IMAG - Pôle d'imagerie médicale
UCL - (SLuc) Service de radiologie
UCL - (SLuc) Service d'urologie
UCL - SSS/IONS/NEUR - Clinical Neuroscience
Keywords Bone marrow diseases ; Magnetic resonance imaging ; Multiple myeloma ; Prostate cancer ; Whole body imaging
Links
  1. Heusner Till-Alexander, Kuemmel Sherko, Koeninger Angela, Hamami Monia E., Hahn Steffen, Quinsten Anton, Bockisch Andreas, Forsting Michael, Lauenstein Thomas, Antoch Gerald, Stahl Alexander, Diagnostic value of diffusion-weighted magnetic resonance imaging (DWI) compared to FDG PET/CT for whole-body breast cancer staging, 10.1007/s00259-010-1399-z
  2. Walker R., Kessar P., Blanchard R., Dimasi M., Harper K., DeCarvalho V., Yucel E.K., Patriquin L., Eustace S., Turbo STIR magnetic resonance imaging as a whole-body screening tool for metastases in patients with breast carcinoma: Preliminary clinical experience, 10.1002/(sici)1522-2586(200004)11:4<343::aid-jmri1>3.0.co;2-p
  3. Kwee Thomas C., Fijnheer Rob, Ludwig Inge, Quarles van Ufford Henriette M.E., Uiterwaal Cuno S., Bierings Marc B., Takahara Taro, Nievelstein Rutger A.J., Whole-body magnetic resonance imaging, including diffusion-weighted imaging, for diagnosing bone marrow involvement in malignant lymphoma : Correspondence, 10.1111/j.1365-2141.2010.08093.x
  4. Messiou Christina, Kaiser Martin, Whole body diffusion weighted MRI - a new view of myeloma, 10.1111/bjh.13509
  5. Dimopoulos Meletios A., Hillengass Jens, Usmani Saad, Zamagni Elena, Lentzsch Suzanne, Davies Faith E., Raje Noopur, Sezer Orhan, Zweegman Sonja, Shah Jatin, Badros Ashraf, Shimizu Kazuyuki, Moreau Philippe, Chim Chor-Sang, Lahuerta Juan José, Hou Jian, Jurczyszyn Artur, Goldschmidt Hartmut, Sonneveld Pieter, Palumbo Antonio, Ludwig Heinz, Cavo Michele, Barlogie Bart, Anderson Kenneth, Roodman G. David, Rajkumar S. Vincent, Durie Brian G.M., Terpos Evangelos, Role of Magnetic Resonance Imaging in the Management of Patients With Multiple Myeloma: A Consensus Statement, 10.1200/jco.2014.57.9961
  6. Lee So-Yeon, Kim Hyun-Jung, Shin Yu Ri, Park Hee-Jin, Lee Yun-Gyoo, Oh Suk Joong, Prognostic significance of focal lesions and diffuse infiltration on MRI for multiple myeloma: a meta-analysis, 10.1007/s00330-016-4543-8
  7. Padhani Anwar R., Koh Dow-Mu, Collins David J., Whole-Body Diffusion-weighted MR Imaging in Cancer: Current Status and Research Directions, 10.1148/radiol.11110474
  8. Wu Lian-Ming, Gu Hai-Yan, Zheng Jasmine, Xu Xiao, Lin Lin-Hua, Deng Xia, Zhang Wei, Xu Jian-Rong, Diagnostic value of whole-body magnetic resonance imaging for bone metastases: a systematic review and meta-analysis, 10.1002/jmri.22608
  9. Lauenstein Thomas C., Goehde Susanne C., Herborn Christoph U., Goyen Matthias, Oberhoff Carsten, Debatin Jörg F., Ruehm Stefan G., Barkhausen Jörg, Whole-Body MR Imaging: Evaluation of Patients for Metastases, 10.1148/radiol.2331030777
  10. Lecouvet Frédéric E., Whole-Body MR Imaging: Musculoskeletal Applications, 10.1148/radiol.2016142084
  11. Padhani Anwar R., Lecouvet Frederic E., Tunariu Nina, Koh Dow-Mu, De Keyzer Frederik, Collins David J., Sala Evis, Schlemmer Heinz Peter, Petralia Giuseppe, Vargas H. Alberto, Fanti Stefano, Tombal H. Bertrand, de Bono Johann, METastasis Reporting and Data System for Prostate Cancer: Practical Guidelines for Acquisition, Interpretation, and Reporting of Whole-body Magnetic Resonance Imaging-based Evaluations of Multiorgan Involvement in Advanced Prostate Cancer, 10.1016/j.eururo.2016.05.033
  12. Pasoglou Vasiliki, Michoux Nicolas, Tombal Bertrand, Jamar François, Lecouvet Frédéric E., wbMRI to detect bone metastases: critical review on diagnostic accuracy and comparison to other imaging modalities, 10.1007/s40336-015-0120-4
  13. Eustace S, Tello R, DeCarvalho V, Carey J, Wroblicka J T, Melhem E R, Yucel E K, A comparison of whole-body turboSTIR MR imaging and planar 99mTc-methylene diphosphonate scintigraphy in the examination of patients with suspected skeletal metastases., 10.2214/ajr.169.6.9393186
  14. Lecouvet Frédéric E., El Mouedden Jawad, Collette Laurence, Coche Emmanuel, Danse Etienne, Jamar François, Machiels Jean-Pascal, Vande Berg Bruno, Omoumi Patrick, Tombal Bertrand, Can Whole-body Magnetic Resonance Imaging with Diffusion-weighted Imaging Replace Tc 99m Bone Scanning and Computed Tomography for Single-step Detection of Metastases in Patients with High-risk Prostate Cancer?, 10.1016/j.eururo.2012.02.020
  15. Daldrup-Link Heike E., Franzius Christiane, Link Thomas M., Laukamp Daniela, Sciuk Joachim, Jürgens Heribert, Schober Otmar, Rummeny Ernst J., Whole-Body MR Imaging for Detection of Bone Metastases in Children and Young Adults : Comparison with Skeletal Scintigraphy and FDG PET, 10.2214/ajr.177.1.1770229
  16. Takenaka Daisuke, Ohno Yoshiharu, Matsumoto Keiko, Aoyama Nobukazu, Onishi Yumiko, Koyama Hisanobu, Nogami Munenobu, Yoshikawa Takeshi, Matsumoto Sumiaki, Sugimura Kazuro, Detection of bone metastases in non-small cell lung cancer patients: Comparison of whole-body diffusion-weighted imaging (DWI), whole-body MR imaging without and with DWI, whole-body FDG-PET/CT, and bone scintigraphy, 10.1002/jmri.21858
  17. Ohno Yoshiharu, Koyama Hisanobu, Onishi Yumiko, Takenaka Daisuke, Nogami Munenobu, Yoshikawa Takeshi, Matsumoto Sumiaki, Kotani Yoshikazu, Sugimura Kazuro, Non–Small Cell Lung Cancer: Whole-Body MR Examination for M-Stage Assessment—Utility for Whole-Body Diffusion-weighted Imaging Compared with Integrated FDG PET/CT, 10.1148/radiol.2482072039
  18. Engelhard K., Hollenbach H. P., Wohlfart K., von Imhoff E., Fellner F. A., Comparison of whole-body MRI with automatic moving table technique and bone scintigraphy for screening for bone metastases in patients with breast cancer, 10.1007/s00330-003-1968-7
  19. Takahara T, Imai Y, Yamashita T, Yasuda S, Nasu S, Van Cauteren M (2004) Diffusion weighted whole body imaging with background body signal suppression (DWIBS): technical improvement using free breathing, STIR and high resolution 3D display. Radiat Med 22:275–282
  20. Pearce T, Philip S, Brown J, Koh D M, Burn P R, Bone metastases from prostate, breast and multiple myeloma: differences in lesion conspicuity at short-tau inversion recovery and diffusion-weighted MRI, 10.1259/bjr/30649204
  21. Han Sileny N., Amant Frédéric, Michielsen Katrijn, De Keyzer Frederik, Fieuws Steffen, Van Calsteren Kristel, Dresen Raphaëla C., Gziri Mina Mhallem, Vandecaveye Vincent, Feasibility of whole-body diffusion-weighted MRI for detection of primary tumour, nodal and distant metastases in women with cancer during pregnancy: a pilot study, 10.1007/s00330-017-5126-z
  22. Shen Guohua, Deng Houfu, Hu Shuang, Jia Zhiyun, Comparison of choline-PET/CT, MRI, SPECT, and bone scintigraphy in the diagnosis of bone metastases in patients with prostate cancer: a meta-analysis, 10.1007/s00256-014-1903-9
  23. NICE (2016) https://www.nice.org.uk/guidance/ng35/chapter/recommendations . National Institute for Health and Care Excellence
  24. Messiou C., Collins D. J., Morgan V. A., deSouza N. M., Optimising diffusion weighted MRI for imaging metastatic and myeloma bone disease and assessing reproducibility, 10.1007/s00330-011-2116-4
  25. Tombal Bertrand, Alcaraz Antonio, James Nicholas, Valdagni Riccardo, Irani Jacques, Can we improve the definition of high-risk, hormone naïve, non-metastatic prostate cancer? : Definition of high-risk, hormone naïve, non-metastatic prostate cancer, 10.1111/bju.12469
  26. Lecouvet Frédéric E., Geukens Daphné, Stainier Annabelle, Jamar François, Jamart Jacques, d'Othée Bertrand Janne, Therasse Patrick, Berg Bruno Vande, Tombal Bertrand, Magnetic Resonance Imaging of the Axial Skeleton for Detecting Bone Metastases in Patients With High-Risk Prostate Cancer: Diagnostic and Cost-Effectiveness and Comparison With Current Detection Strategies, 10.1200/jco.2006.09.2940
  27. Heidenreich Axel, Bastian Patrick J., Bellmunt Joaquim, Bolla Michel, Joniau Steven, van der Kwast Theodor, Mason Malcolm, Matveev Vsevolod, Wiegel Thomas, Zattoni F., Mottet Nicolas, EAU Guidelines on Prostate Cancer. Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent—Update 2013, 10.1016/j.eururo.2013.09.046
  28. Vanel D., Dromain C., Tardivon A., MRI of bone marrow disorders, 10.1007/s003300050038
  29. Baur-Melnyk Andrea, Buhmann Sonja, Dürr H.R., Reiser Maximilian, Role of MRI for the diagnosis and prognosis of multiple myeloma, 10.1016/j.ejrad.2005.01.017
  30. Padhani Anwar R., Koh Dow-Mu, Diffusion MR Imaging for Monitoring of Treatment Response, 10.1016/j.mric.2010.10.004
  31. Koh Dow-Mu, Blackledge Matthew, Padhani Anwar R., Takahara Taro, Kwee Thomas C., Leach Martin O., Collins David J., Whole-Body Diffusion-Weighted MRI: Tips, Tricks, and Pitfalls, 10.2214/ajr.11.7866
  32. Lecouvet F. E., Simon M., Tombal B., Jamart J., Vande Berg B. C., Simoni P., Whole-body MRI (WB-MRI) versus axial skeleton MRI (AS-MRI) to detect and measure bone metastases in prostate cancer (PCa), 10.1007/s00330-010-1879-3
  33. Libshitz H I, Malthouse S R, Cunningham D, MacVicar A D, Husband J E, Multiple myeloma: appearance at MR imaging., 10.1148/radiology.182.3.1535904
  34. Moulopoulos L A, Varma D G, Dimopoulos M A, Leeds N E, Kim E E, Johnston D A, Alexanian R, Libshitz H I, Multiple myeloma: spinal MR imaging in patients with untreated newly diagnosed disease., 10.1148/radiology.185.3.1438772
  35. Maeder Y, Dunet V, Richard R, Becce F, Omoumi P (2017) Bone marrow metastases: T2-weighted Dixon spin-Echo fat images can replace T1-weighted spin-Echo images. Radiology. https://doi.org/10.1148/radiol.2017170325:170325
  36. Landis J. Richard, Koch Gary G., The Measurement of Observer Agreement for Categorical Data, 10.2307/2529310
  37. DeLong Elizabeth R., DeLong David M., Clarke-Pearson Daniel L., Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach, 10.2307/2531595
  38. Lecouvet Frédéric E., Vande Berg Bruno C., Malghem Jacques, Omoumi Patrick, Simoni Paolo, Diffusion-weighted MR Imaging: Adjunct or Alternative to T1-weighted MR Imaging for Prostate Carcinoma Bone Metastases?, 10.1148/radiol.2522090263
  39. Latifoltojar Arash, Hall-Craggs Margaret, Bainbridge Alan, Rabin Neil, Popat Rakesh, Rismani Ali, D’Sa Shirley, Dikaios Nikolaos, Sokolska Magdalena, Antonelli Michela, Ourselin Sebastien, Yong Kwee, Taylor Stuart A., Halligan Steve, Punwani Shonit, Whole-body MRI quantitative biomarkers are associated significantly with treatment response in patients with newly diagnosed symptomatic multiple myeloma following bortezomib induction, 10.1007/s00330-017-4907-8
  40. Winfield Jessica M., Poillucci Gabriele, Blackledge Matthew D., Collins David J., Shah Vallari, Tunariu Nina, Kaiser Martin F., Messiou Christina, Apparent diffusion coefficient of vertebral haemangiomas allows differentiation from malignant focal deposits in whole-body diffusion-weighted MRI, 10.1007/s00330-017-5079-2
  41. Park Sung Yoon, Shin Su-Jin, Jung Dae Chul, Cho Nam Hoon, Choi Young Deuk, Rha Koon Ho, Hong Sung Joon, Oh Young Taik, PI-RADS version 2: quantitative analysis aids reliable interpretation of diffusion-weighted imaging for prostate cancer, 10.1007/s00330-016-4678-7
  42. Messiou C, Giles S, Collins D J, West S, Davies F E, Morgan G J, Desouza N M, Assessing response of myeloma bone disease with diffusion-weighted MRI, 10.1259/bjr/52759767
Bibliographic reference Larbi, Ahmed ; Omoumi, Patrick ; Pasoglou, Vasiliki ; Michoux, Nicolas ; Triqueneaux, Perrine ; et. al. Whole-body MRI to assess bone involvement in prostate cancer and multiple myeloma: comparison of the diagnostic accuracies of the T1, short tau inversion recovery (STIR), and high b-values diffusion-weighted imaging (DWI) sequences.. In: European Radiology, Vol. 29, no. 8, p. 4503-4513 (2019)
Permanent URL http://hdl.handle.net/2078.1/213042