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MR diffusion weighted imaging:Application in soft tissue tumors
YANG Yanyu  ZHANG Kai  ZHANG Lina  WANG Shaowu 

Cite this article as: Yang YY, Zhang K, Zhang LN, et al. MR diffusion weighted imaging:Application in soft tissue tumors[J]. Chin J Magn Reson Imaging, 2021, 12(10): 121-124. DOI:10.12015/issn.1674-8034.2021.10.032.


[Abstract] Magnetic resonance (MR) diffusion weighted imaging is a functional imaging technique that can reflect the diffusion characteristics of water molecules and detect microstructural changes in tissues, including monoexponential diffusion weighted imaging (DWI), intravoxel incoherent motion (IVIM) model, diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI), and has been used in the clinical evaluation of soft tissue tumors (STTs). This article introduces the four techniques briefly and reviews their application in the differential diagnosis, histological grading prediction, infiltration assessment, postoperative recurrence monitoring and radiotherapy efficacy evaluation or prediction of STSs.
[Keywords] soft tissue tumors;diffusion weighted imaging;intravoxel incoherent motion;diffusion tensor imaging;diffusion kurtosis imaging

YANG Yanyu1   ZHANG Kai1   ZHANG Lina2   WANG Shaowu1*  

1 Department of Radiology, The Second Hospital of Dalian Medical University, Dalian 116027, China

2 Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China

Wang SW, E-mail: wsw_2018@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS National Natural Science Foundation of China (No.81771804).
Received  2021-05-28
Accepted  2021-07-01
DOI: 10.12015/issn.1674-8034.2021.10.032
Cite this article as: Yang YY, Zhang K, Zhang LN, et al. MR diffusion weighted imaging:Application in soft tissue tumors[J]. Chin J Magn Reson Imaging, 2021, 12(10): 121-124. DOI:10.12015/issn.1674-8034.2021.10.032.

[1]
Bruno F, Arrigoni F, Mariani S, et al. Advanced magnetic resonance imaging (MRI) of soft tissue tumors: techniques and applications[J]. Radiol Med, 2019, 124(4): 243-252. DOI: 10.1007/s11547-019-01035-7.
[2]
Fayad LM, Jacobs MA, Wang X, et al. Musculoskeletal tumors: how to use anatomic, functional, and metabolic MR techniques[J]. Radiology, 2012, 265(2): 340-356. DOI: 10.1148/radiol.12111740.
[3]
Subhawong TK, Jacobs MA and Fayad LM. Diffusion-weighted MR imaging for characterizing musculoskeletal lesions[J]. Radiographics, 2014, 34(5): 1163-1177. DOI: 10.1148/rg.345140190.
[4]
Ahlawat S, Khandheria P, Del Grande F, et al. Interobserver variability of selective region-of-interest measurement protocols for quantitative diffusion weighted imaging in soft tissue masses: Comparison with whole tumor volume measurements[J]. J Magn Reson Imaging, 2016, 43(2): 446-454. DOI: 10.1002/jmri.24994.
[5]
Du J, Li K, Zhang WS, et al. Intravoxel Incoherent Motion MR Imaging: Comparison of Diffusion and Perfusion Characteristics for Differential Diagnosis of Soft Tissue Tumors[J]. Medicine (Baltimore), 2015, 94(25): e1028. DOI: 10.1097/MD.0000000000001028.
[6]
Wu G, Liu XL, Xiong Y, et al. Intravoxel incoherent motion and diffusion kurtosis imaging for discriminating soft tissue sarcoma from vascular anomalies[J]. Medicine (Baltimore), 2018, 97(50): e13641. DOI: 10.1097/MD.0000000000013641.
[7]
Wu HJ, Zhang SX, Liang CH, et al. Intravoxel incoherent motion MRI for the differentiation of benign, intermediate, and malignant solid soft-tissue tumors[J]. J Magn Reson Imaging, 2017, 46(6): 1611-1618. DOI: 10.1002/jmri.25733.
[8]
Cage TA, Yuh EL, Hou SW, et al. Visualization of nerve fibers and their relationship to peripheral nerve tumors by diffusion tensor imaging[J]. Neurosurg Focus, 2015, 39(3): E16. DOI: 10.3171/2015.6.FOCUS15235.
[9]
Jensen JH, Helpern JA, Ramani A, et al. Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging[J]. Magn Reson Med, 2005, 53(6): 1432-1440. DOI: 10.1002/mrm.20508.
[10]
Ogawa M, Kan H, Arai N, et al. Differentiation between malignant and benign musculoskeletal tumors using diffusion kurtosis imaging[J]. Skeletal Radiol, 2019, 48(2): 285-292. DOI: 10.1007/s00256-018-2946-0.
[11]
Choi YJ, Lee IS, Song YS, et al. Diagnostic performance of diffusion-weighted (DWI) and dynamic contrast-enhanced (DCE) MRI for the differentiation of benign from malignant soft-tissue tumors[J]. J Magn Reson Imaging, 2019, 50(3): 798-809. DOI: 10.1002/jmri.26607.
[12]
Lee SK, Jee WH, Jung CK, et al. Multiparametric quantitative analysis of tumor perfusion and diffusion with 3T MRI: differentiation between benign and malignant soft tissue tumors[J]. Br J Radiol, 2020, 93(1115): 20191035. DOI: 10.1259/bjr.20191035.
[13]
Dodin G, Salleron J, Jendoubi S, et al. Added-value of advanced magnetic resonance imaging to conventional morphologic analysis for the differentiation between benign and malignant non-fatty soft-tissue tumors[J]. Eur Radiol, 2021, 31(3): 1536-1547. DOI: 10.1007/s00330-020-07190-0.
[14]
Xiao Y, Liao KB, Shi XY, et al. Value of mean ADC and minimum ADC in identifying benign and malignant soft tissue tumors of extremities[J]. Radiol Prac, 2021, 36(01): 112-116. DOI: 10.13609/j.cnki.1000-0313.2021.01.022.
[15]
Song Y, Yoon YC, Chong Y, et al. Diagnostic performance of conventional MRI parameters and apparent diffusion coefficient values in differentiating between benign and malignant soft-tissue tumours[J]. Clin Radiol, 2017, 72(8): 691 e691-691 e610. DOI: 10.1016/j.crad.2017.02.003.
[16]
Bonarelli C, Teixeira PA, Hossu G, et al. Impact of ROI Positioning and Lesion Morphology on Apparent Diffusion Coefficient Analysis for the Differentiation Between Benign and Malignant Nonfatty Soft-Tissue Lesions[J]. AJR Am J Roentgenol, 2015, 205(1): W106-113. DOI: 10.2214/AJR.14.13865.
[17]
Lim HK, Jee WH, Jung JY, et al. Intravoxel incoherent motion diffusion-weighted MR imaging for differentiation of benign and malignant musculoskeletal tumours at 3 T[J]. Br J Radiol, 2018, 91(1082): 20170636. DOI: 10.1259/bjr.20170636.
[18]
Li NY, Gao F, Wang CB, et al. The value of intravoxel incoherent motion diffusion weighted imaging in diagnosing musculoskeletal tumors[J]. J Pract Radiol, 2018, 34(9): 1418-1422. DOI: 10.3969/j.issn.1002-1671.2018.09.027.
[19]
Gondim Teixeira PA, Simon L, Sirveaux F, et al. Intravoxel incoherent motion MRI for the initial characterization of non-fatty non-vascular soft tissue tumors[J]. Diagn Interv Imaging, 2020, 101(4): 245-255. DOI: 10.1016/j.diii.2019.11.003.
[20]
Mazal AT, Ashikyan O, Cheng J, et al. Diffusion-weighted imaging and diffusion tensor imaging as adjuncts to conventional MRI for the diagnosis and management of peripheral nerve sheath tumors: current perspectives and future directions[J]. Eur Radiol, 2019, 29(8): 4123-4132. DOI: 10.1007/s00330-018-5838-8.
[21]
Ogawa M, Kan H, Arai N, et al. Differentiation between malignant and benign musculoskeletal tumors using diffusion kurtosis imaging[J]. Skeletal Radiology, 2019, 48(2): 285-292. DOI: 10.1007/s00256-018-2946-0.
[22]
Liu YJ, Yin ZZ, Li XW, et al. The diagnostic accuracy of intravoxel incoherent motion and diffusion kurtosis imaging in the differentiation of malignant and benign soft-tissue masses: which is better?[J]. Acta Radiol, (2021-05-17): 2841851211017511. DOI: 10.1177/02841851211017511.
[23]
Zhang XL, Wu G, Xie RY, et al. The value of MRI intravoxel incoherent motion imaging (IVIM) and diffusion kurtosis imaging (DKI) in the differential diagnosis of benign and malignant bone and soft tissue tumors of lower extremity[J]. Chin J Magn Reson Imaging, 2018, 9(07): 525-532. DOI: 10.12015/issn.1674-8034.2018.07.008.
[24]
Crombé A, Marcellin PJ, Buy X, et al. Soft-Tissue Sarcomas: Assessment of MRI Features Correlating with Histologic Grade and Patient Outcome[J]. Radiology, 2019, 291(3): 710-721. DOI: 10.1148/radiol.2019181659.
[25]
Chhabra A, Ashikyan O, Slepicka C, et al. Conventional MR and diffusion-weighted imaging of musculoskeletal soft tissue malignancy: correlation with histologic grading[J]. Eur Radiol, 2019, 29(8): 4485-4494. DOI: 10.1007/s00330-018-5845-9.
[26]
Lee JH, Kim Y, Yoo HJ, et al. Prognoses of superficial soft tissue sarcoma: The importance of fascia-tumor relationship on MRI[J]. Eur J Surg Oncol, 2020, 46(2): 282-287. DOI: 10.1016/j.ejso.2019.10.003.
[27]
Yoon MA, Chee CG, Chung HW, et al. Added value of diffusion-weighted imaging to conventional MRI for predicting fascial involvement of soft tissue sarcomas[J]. Eur Radiol, 2019, 29(4): 1863-1873. DOI: 10.1007/s00330-018-5786-3.
[28]
Hong JH, Jee WH, Jung CK, et al. Soft tissue sarcoma: adding diffusion-weighted imaging improves MR imaging evaluation of tumor margin infiltration[J]. Eur Radiol, 2019, 29(5): 2589-2597. DOI: 10.1007/s00330-018-5817-0.
[29]
Li X, Liu Y, Tao J, et al. Value of intravoxel incoherent motion and diffusion kurtosis imaging in predicting peritumoural infiltration of soft-tissue sarcoma: a prospective study based on MRI-histopathology comparisons[J]. Clin Radiol, 2021, 76(7): 532-539. DOI: 10.1016/j.crad.2021.02.014.
[30]
Ezuddin NS, Pretell-Mazzini J, Yechieli RL, et al. Local recurrence of soft-tissue sarcoma: issues in imaging surveillance strategy[J]. Skeletal Radiol, 2018, 47(12): 1595-1606. DOI: 10.1007/s00256-018-2965-x.
[31]
Kim JI, Lee IS, Song YS, et al. Short-term follow-up MRI after unplanned resection of malignant soft-tissue tumours; quantitative measurements on dynamic contrast enhanced and diffusion-weighted MR images[J]. Br J Radiol, 2016, 89(1066): 20160302. DOI: 10.1259/bjr.20160302.
[32]
Choi YY, Lee IS, Kim SJ, et al. Analyses of short-term follow-up MRI and PET-CT for evaluation of residual tumour after inadequate primary resection of malignant soft-tissue tumours[J]. Clin Radiol, 2013, 68(2): 117-124. DOI: 10.1016/j.crad.2012.05.012.
[33]
Del Grande F, Subhawong T, Weber K, et al. Detection of soft-tissue sarcoma recurrence: added value of functional MR imaging techniques at 3.0 T[J]. Radiology, 2014, 271(2): 499-511. DOI: 10.1148/radiol.13130844.
[34]
Gennaro N, Reijers S, Bruining A, et al. Imaging response evaluation after neoadjuvant treatment in soft tissue sarcomas: Where do we stand?[J]. Crit Rev Oncol Hematol, 2021, 160: 103309. DOI: 10.1016/j.critrevonc.2021.103309.
[35]
Eisenhauer EA, Therasse P, Bogaerts J, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1)[J]. Eur J Cancer, 2009, 45(2): 228-247. DOI: 10.1016/j.ejca.2008.10.026.
[36]
Moustafa AFI, Eldaly MM, Zeitoun R, et al. Is MRI diffusion-weighted imaging a reliable tool for the diagnosis and post-therapeutic follow-up of extremity soft tissue neoplasms?[J]. Indian J Radiol Imaging, 2019, 29(4): 378-385. DOI: 10.4103/ijri.IJRI_146_19.
[37]
Soldatos T, Ahlawat S, Montgomery E, et al. Multiparametric Assessment of Treatment Response in High-Grade Soft-Tissue Sarcomas with Anatomic and Functional MR Imaging Sequences[J]. Radiology, 2016, 278(3): 831-840. DOI: 10.1148/radiol.2015142463.
[38]
Winfield JM, Miah AB, Strauss D, et al. Utility of Multi-Parametric Quantitative Magnetic Resonance Imaging for Characterization and Radiotherapy Response Assessment in Soft-Tissue Sarcomas and Correlation With Histopathology[J]. Front Oncol, 2019, 9: 280. DOI: 10.3389/fonc.2019.00280.
[39]
Steinkamp PJ, Pranger BK, Li MF, et al. Fluorescence-Guided Visualization of Soft-Tissue Sarcomas by Targeting Vascular Endothelial Growth Factor A: A Phase 1 Single-Center Clinical Trial[J]. J Nucl Med, 2021, 62(3): 342-347. DOI: 10.2967/jnumed.120.245696.
[40]
Garcia Del Muro X, Maurel J, Martinez Trufero J, et al. Phase Ⅱ trial of ifosfamide in combination with the VEGFR inhibitor sorafenib in advanced soft tissue sarcoma: a Spanish group for research on sarcomas (GEIS) study[J]. Invest New Drugs, 2018, 36(3): 468-475. DOI: 10.1007/s10637-018-0583-z.
[41]
Li XW, Yang L, Wang QM, et al. Soft tissue sarcomas: IVIM and DKI correlate with the expression of HIF-1alpha on direct comparison of MRI and pathological slices[J]. Eur Radiol, 2021,31(7): 4669-4679. DOI: 10.1007/s00330-020-07526-w.

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