Journal of Diagnostics Concepts & Practice ›› 2019, Vol. 18 ›› Issue (06): 692-697.doi: 10.16150/j.1671-2870.2019.06.018
• Review article • Previous Articles Next Articles
Received:2019-01-29
Online:2019-12-25
Published:2019-12-25
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| [1] |
Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019[J]. CA Cancer J Clin, 2019, 69(1):7-34.
doi: 10.3322/caac.21551 URL |
| [2] | 陈万青, 孙可欣, 郑荣寿, 等. 2014年中国分地区恶性肿瘤发病和死亡分析[J]. 中国肿瘤, 2018, 27(1):1-14. |
| [3] |
Cheson BD, Fisher RI, Barrington SF, et al. Recommendations for initial evaluation, staging, and response assessment of Hodgkin and non-Hodgkin lymphoma: the Lugano classification[J]. J Clin Oncol, 2014, 32(27):3059-3068.
pmid: 25113753 |
| [4] |
Takahara T, Imai Y, Yamashita T, et al. Diffusion weighted whole body imaging with background body signal suppression(DWIBS): technical improvement using free breathing, STIR and high resolution 3D display[J]. Radiat Med, 2004, 22(4):275-282.
pmid: 15468951 |
| [5] |
Sasamori H, Uno K, Wu J. Usefulness of both PET/CT with 18F-FDG and whole-body diffusion-weighted imaging in cancer screening: a preliminary report[J]. Ann Nucl Med, 2019, 33(2):78-85.
doi: 10.1007/s12149-018-1307-3 pmid: 30298377 |
| [6] | Stecco A, Trisoglio A, Soligo E, et al. Whole-Body MRI with diffusion-weighted imaging in bone metastases: A narrative review[J]. Diagnostics(Basel), 2018, 8(3),pii:E45. |
| [7] | 王攀峰, 李永超, 徐杨, 等. 全身弥散加权成像(WB-DWI)在初诊多发性骨髓瘤患者中的诊断和监测作用[J]. 中华血液学杂志, 2017, 38(2):129-133. |
| [8] | Gong J, Cao W, Zhang Z, et al. Diagnostic efficacy of whole-body diffusion-weighted imaging in the detection of tumour recurrence and metastasis by comparison with 18F-2-fluoro-2-deoxy-D-glucose positron emission tomography or computed tomography in patients with gastrointestinal cancer[J]. Gastroenterol Rep (Oxf), 2015, 3(2):128-135. |
| [9] |
Bae YJ, Choi BS, Jeong HK, et al. Diffusion-weighted imaging of the head and neck: influence of fat-suppression technique and multishot 2D navigated interleaved acquisitions[J]. Am J Neuroradiol, 2018, 39(1):145-150.
doi: 10.3174/ajnr.A5426 pmid: 29122759 |
| [10] |
Zhang H, Xue H, Alto S, et al. Integrated shimming improves lesion detection in whole-body diffusion-weighted examinations of patients with plasma disorder at 3 T[J]. Invest Radiol, 2016, 51(5):297-305.
doi: 10.1097/RLI.0000000000000238 URL |
| [11] |
Sotiropoulos SN, Moeller S, Jbabdi S, et al. Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE[J]. Magn Reson Med, 2013, 70(6):1682-1689.
doi: 10.1002/mrm.24623 pmid: 23401137 |
| [12] | Reischauer C, Froehlich JM, Pless M, et al. Early treatment response in non-small cell lung cancer patients usi-ng diffusion-weighted imaging and functional diffusion maps--a feasibility study[J]. PLoS One, 2014, 9(10):e108052. |
| [13] |
Reischauer C, Froehlich JM, Koh DM, et al. Bone metastases from prostate cancer: assessing treatment response by using diffusion-weighted imaging and functional diffusion maps--initial observations[J]. Radiology, 2010, 257(2):523-531.
doi: 10.1148/radiol.10092469 pmid: 20829534 |
| [14] |
Lin C, Luciani A, Itti E, et al. Whole-body diffusion-weighted magnetic resonance imaging with apparent diffusion coefficient mapping for staging patients with diffuse large B-cell lymphoma[J]. Eur Radiol, 2010, 20(8):2027-2038.
doi: 10.1007/s00330-010-1758-y URL |
| [15] |
Balbo-Mussetto A, Cirillo S, Bruna R, et al. Whole-body MRI with diffusion-weighted imaging: a valuable alternative to contrast-enhanced CT for initial staging of aggressive lymphoma[J]. Clin Radiol, 2016, 71(3):271-279.
doi: 10.1016/j.crad.2015.11.018 pmid: 26749081 |
| [16] |
Serifoglu I, Oz II, Damar M, et al. Diffusion-weighted imaging in the head and neck region: usefulness of apparent diffusion coefficient values for characterization of lesions[J]. Diagn Interv Radiol, 2015, 21(3):208-214.
doi: 10.5152/dir.2014.14279 URL |
| [17] | 李莉, 强永乾, 任转琴, 等. 全身弥散加权成像在全身淋巴结病变中的应用价值[J]. 实用放射学杂志, 2013, 29(4):631-634. |
| [18] |
Mosavi F, Wassberg C, Selling J, et al. Whole-body diffusion-weighted MRI and(18)F-FDG PET/CT can discriminate between different lymphoma subtypes[J]. Clin Radiol, 2015, 70(11):1229-1236.
doi: 10.1016/j.crad.2015.06.087 pmid: 26208992 |
| [19] | Wu X, Pertovaara H, Dastidar P, et al. ADC measurements in diffuse large B-cell lymphoma and follicular lymphoma: a DWI and cellularity study[J]. Eur J Radiol, 2013, 82(4):e158-e164. |
| [20] |
Saboo SS, Krajewski KM, O'Regan KN, et al. Spleen in haematological malignancies: spectrum of imaging fin-dings[J]. Br J Radiol, 2012, 85(1009):81-92.
doi: 10.1259/bjr/31542964 pmid: 22096219 |
| [21] |
Littooij AS, Kwee TC, Barber I, et al. Accuracy of whole-body MRI in the assessment of splenic involvement in lymphoma[J]. Acta Radiol, 2016, 57(2):142-151.
doi: 10.1177/0284185115571657 URL |
| [22] |
Salmon JS, Thompson MA, Arildsen RC, et al. Non-Hodgkin's lymphoma involving the liver: clinical and therapeutic considerations[J]. Clin Lymphoma Myeloma, 2006, 6(4):273-280.
doi: 10.3816/CLM.2006.n.001 URL |
| [23] |
Haradome H, Grazioli L, Morone M, et al. T2-weighted and diffusion-weighted MRI for discriminating benign from malignant focal liver lesions: diagnostic abilities of single versus combined interpretations[J]. J Magn Reson Imaging, 2012, 35(6):1388-1396.
doi: 10.1002/jmri.23573 pmid: 22246647 |
| [24] |
Colagrande S, Calistri L, Grazzini G, et al. MRI features of primary hepatic lymphoma[J]. Abdom Radiol (NY), 2018, 43(9):2277-2287.
doi: 10.1007/s00261-018-1476-5 pmid: 29460044 |
| [25] | Stecco A, Buemi F, Quagliozzi M, et al. Staging of primary abdominal lymphomas: Comparison of whole-body MRI with diffusion-weighted imaging and (18)F-FDG-PET/CT[J]. Gastroenterol Res Pract, 2015, 2015:104794. |
| [26] |
Lin X, Lee M, Buck O, et al. Diagnostic Accuracy of T1-weighted dynamic contrast-enhanced-MRI and DWI-ADC for differentiation of glioblastoma and primary CNS lymphoma[J]. AJNR Am J Neuroradiol, 2017, 38(3):485-491.
doi: 10.3174/ajnr.A5023 URL |
| [27] |
Lister TA, Crowther D, Sutcliffe SB, et al. Report of a committee convened to discuss the evaluation and staging of patients with Hodgkin's disease: Cotswolds meeting[J]. J Clin Oncol, 1989, 7(11):1630-1636.
pmid: 2809679 |
| [28] |
Lin C, Itti E, Luciani A, et al. Whole-body diffusion-weighted imaging with apparent diffusion coefficient mapping for treatment response assessment in patients with diffuse large B-cell lymphoma: pilot study[J]. Invest Radiol, 2011, 46(5):341-349.
doi: 10.1097/RLI.0b013e3182087b03 URL |
| [29] |
Littooij AS, Kwee TC, Barber I, et al. Whole-body MRI for initial staging of paediatric lymphoma: prospective comparison to an FDG-PET/CT-based reference standard[J]. Eur Radiol, 2014, 24(5):1153-1165.
doi: 10.1007/s00330-014-3114-0 URL |
| [30] |
de Paepe K, Bevernage C, De Keyzer F, et al. Whole-body diffusion-weighted magnetic resonance imaging at 3 Tesla for early assessment of treatment response in non-Hodgkin lymphoma: a pilot study[J]. Cancer Imaging, 2013, 13:53-62.
doi: 10.1102/1470-7330.2013.0006 URL |
| [31] |
Albano D, Patti C, Matranga D, et al. Whole-body diffusion-weighted MR and FDG-PET/CT in Hodgkin Lymphoma: Predictive role before treatment and early assessment after two courses of ABVD[J]. Eur J Radiol, 2018, 103:90-98.
doi: 10.1016/j.ejrad.2018.04.014 URL |
| [32] |
Hatakenaka M, Nakamura K, Yabuuchi H, et al. Pretreatment apparent diffusion coefficient of the primary lesion correlates with local failure in head-and-neck cancer treated with chemoradiotherapy or radiotherapy[J]. Int J Radiat Oncol Biol Phys, 2011, 81(2):339-345.
doi: 10.1016/j.ijrobp.2010.05.051 URL |
| [33] |
Schmeel FC, Simon B, Luetkens JA, et al. Prognostic value of pretreatment diffusion-weighted magnetic resonance imaging for outcome prediction of colorectal cancer liver metastases undergoing 90Y-microsphere radioembolization[J]. J Cancer Res Clin Oncol, 2017, 143(8):1531-1541.
doi: 10.1007/s00432-017-2395-5 URL |
| [34] |
Nael K, Bauer AH, Hormigo A, et al. Multiparametric MRI for differentiation of radiation necrosis from recurrent tumor in patients with treated glioblastoma[J]. Am J Roentgenol, 2018, 210(1):18-23.
doi: 10.2214/AJR.17.18003 URL |
| [35] |
Nural MS, Danaci M, Soyucok A, et al. Efficiency of apparent diffusion coefficients in differentiation of colorectal tumor recurrences and posttherapeutical soft-tissue changes[J]. Eur J Radiol, 2013, 82(10):1702-1709.
doi: 10.1016/j.ejrad.2013.05.025 URL |
| [36] |
Littooij AS, Kwee TC, de Keizer B, et al. Whole-body MRI-DWI for assessment of residual disease after completion of therapy in lymphoma: A prospective multicenter study[J]. J Magn Reson Imaging, 2015, 42(6):1646-1655.
doi: 10.1002/jmri.24938 URL |
| [37] |
Sun M, Cheng J, Zhang Y, et al. Application of DWIBS in malignant lymphoma: correlation between ADC values and Ki-67 index[J]. Eur Radiol, 2018, 28(4):1701-1708.
doi: 10.1007/s00330-017-5135-y URL |
| [38] | 徐贤, 马林, 张爱莲, 等. 全身磁共振弥散加权成像对淋巴瘤的增殖活性、恶性程度和预后的评估[J]. 功能与分子医学影像学杂志(电子版), 2012, 1(1):14-18. |
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