Abstract
Purpose
To predict the efficacy of high-intensity focused ultrasound (HIFU) ablation for uterine leiomyomas based on diffusion tensor imaging (DTI) indicators and imaging features.
Methods
Sixty-two patients with 85 uterine leiomyomas were consecutively enrolled in this retrospective study and underwent DTI scanning before HIFU treatment. Based on whether the non-perfused volume ratio (NPVR) was greater than 70%, all patients were assigned to sufficient ablation (NPVR ≥ 70%) or insufficient ablation (NPVR < 70%) groups. The selected DTI indicators and imaging features were incorporated to construct a combined model. The predictive performance of DTI indicators and the combined model were assessed using receiver operating characteristic (ROC) curves.
Results
There were 42 leiomyomas in the sufficient ablation group (NPVR ≥ 70%) and 43 leiomyomas in the insufficient ablation group (NPVR < 70%). The fractional anisotropy (FA) and relative anisotropy (RA) values were higher in the sufficient ablation group than in the insufficient ablation group (p < 0.05). Conversely, the volume ratio (VR) and mean diffusivity (MD) values were lower in the sufficient ablation group than those in the insufficient ablation group (p < 0.05). Notably, the combined model composed of the RA and enhancement degree values had high predictive efficiency, with an AUC of 0.915. The combined model demonstrated higher predictive performance than FA and MD alone (p = 0.032 and p < 0.001, respectively) but showed no significant improvement compared with RA and VR (p > 0.05).
Conclusion
DTI indicators, especially the combined model incorporating DTI indicators and imaging features, can be a promising imaging tool to assist clinicians in predicting HIFU efficacy for uterine leiomyomas.
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Data availability
The data used to support the findings of this study are available from the corresponding author upon request.
References
E.A. Stewart, C.L. Cookson, R.A. Gandolfo, R. Schulze-Rath, Epidemiology of uterine fibroids: a systematic review, Bjog 124 (2017) 1501-1512. https://doi.org/10.1111/1471-0528.14640.
G.A. Vilos, C. Allaire, P.Y. Laberge, N. Leyland, The management of uterine leiomyomas, J. Obstet. Gynaecol. Can. 37 (2015) 157-178. https://doi.org/10.1016/S1701-2163(15)30338-8.
F. Siedek, S.Y. Yeo, E. Heijman, O. Grinstein, G. Bratke, C. Heneweer, M. Puesken, T. Persigehl, D. Maintz, H. Grüll, Magnetic Resonance-Guided High-Intensity Focused Ultrasound (MR-HIFU): Technical Background and Overview of Current Clinical Applications (Part 1), Rofo-Fortschr. Gebiet Rontgenstrahlen Bildgeb. Verfahr. 191 (2019) 522-530. https://doi.org/10.1055/a-0817-5645.
G. Ter Haar, HIFU Tissue Ablation: Concept and Devices, Adv.Exp.Med.Biol. 880 (2016) 3-20. https://doi.org/10.1007/978-3-319-22536-4_1.
C.J. Jeng, K.Y. Ou, C.Y. Long, L. Chuang, C.R. Ker, 500 Cases of High-intensity Focused Ultrasound (HIFU) Ablated Uterine Fibroids and Adenomyosis, Taiwan. J. Obstet. Gynecol. 59 (2020) 865-871. https://doi.org/10.1016/j.tjog.2020.09.013.
K.J. Anneveldt, O.H. van T, I.M. Nijholt, J.R. Dijkstra, W.J. Hehenkamp, S. Veersema, J. Huirne, J.M. Schutte, M.F. Boomsma, Systematic review of reproductive outcomes after High Intensity Focused Ultrasound treatment of uterine fibroids, Eur. J. Radiol. 141 (2021) 109801. https://doi.org/10.1016/j.ejrad.2021.109801
K.W. Lee, The Asian perspective on HIFU, Int. J. Hyperthermia 38 (2021) 5-8. https://doi.org/10.1080/02656736.2021.1889697.
F.M. Fennessy, C.M. Tempany, N.J. McDannold, M.J. So, G. Hesley, B. Gostout, H.S. Kim, G.A. Holland, D.A. Sarti, K. Hynynen, F.A. Jolesz, E.A. Stewart, Uterine leiomyomas: MR imaging-guided focused ultrasound surgery--results of different treatment protocols, Radiology 243 (2007) 885-93. https://doi.org/10.1148/radiol.2433060267.
G. Pron, Magnetic Resonance-Guided High-Intensity Focused Ultrasound (MRgHIFU) Treatment of Symptomatic Uterine Fibroids: An Evidence-Based Analysis, Ont Health Technol Assess Ser 15 (2015) 1-86.
Y.S. Kim, Clinical application of high-intensity focused ultrasound ablation for uterine fibroids, Biomed. Eng. Lett. 7 (2017) 99-105. https://doi.org/10.1007/s13534-017-0012-9.
I. Mindjuk, C.G. Trumm, P. Herzog, R. Stahl, M. Matzko, MRI predictors of clinical success in MR-guided focused ultrasound (MRgFUS) treatments of uterine fibroids: results from a single centre, Eur. Radiol. 25 (2015) 1317-28. https://doi.org/10.1007/s00330-014-3538-6.
H.J. Fan, J.P. Cun, W. Zhao, J.Q. Huang, G.F. Yi, R.H. Yao, B.L. Gao, X.H. Li, Factors affecting effects of ultrasound guided high intensity focused ultrasound for single uterine fibroids: a retrospective analysis, Int. J. Hyperthermia 35 (2018) 534-540. https://doi.org/10.1080/02656736.2018.1511837.
C. Gong, B. Yang, Y. Shi, Z. Liu, L. Wan, H. Zhang, D. Jiang, L. Zhang, Factors influencing the ablative efficiency of high intensity focused ultrasound (HIFU) treatment for adenomyosis: A retrospective study, Int. J. Hyperthermia 32 (2016) 496-503. https://doi.org/10.3109/02656736.2016.1149232.
T. Sainio, J. Saunavaara, G. Komar, S. Mattila, S. Otonkoski, K. Joronen, A. Perheentupa, S.R. Blanco, Feasibility of apparent diffusion coefficient in predicting the technical outcome of MR -guided high-intensity focused ultrasound treatment of uterine fibroids - a comparison with the Funaki classification, Int. J. Hyperthermia 38 (2021) 85-94. https://doi.org/10.1080/02656736.2021.1874545.
Ranzenberger LR, Snyder T. Diffusion Tensor Imaging. 2022 Jul 26. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2022.
C. Shenhar, H. Degani, Y. Ber, J. Baniel, S. Tamir, O. Benjaminov, P. Rosen, E. Furman-Haran, D. Margel, Diffusion Is Directional: Innovative Diffusion Tensor Imaging to Improve Prostate Cancer Detection, Diagnostics 11 (2021). https://doi.org/10.3390/diagnostics11030563.
A. Ghosh, T. Singh, V. Singla, R. Bagga, R. Srinivasan, N. Khandelwal, DTI histogram parameters correlate with the extent of myoinvasion and tumor type in endometrial carcinoma: a preliminary analysis, Acta Radiol. 61 (2020) 675-684. https://doi.org/10.1177/0284185119875019.
S. Tian, M. Niu, L. Xie, Q. Song, A. Liu, Diffusion-tensor imaging for differentiating uterine sarcoma from degenerative uterine fibroids, Clin. Radiol. 76 (2021) 313.e27-313.e32. https://doi.org/10.1016/j.crad.2020.11.115.
M.J. Yang, R.Q. Yu, W.Z. Chen, J.Y. Chen, Z.B. Wang, A Prediction of NPVR ≥ 80% of Ultrasound-Guided High-Intensity Focused Ultrasound Ablation for Uterine Fibroids, Front. Surg. 8 (2021) 663128. https://doi.org/10.3389/fsurg.2021.663128.
Y. Zheng, L. Chen, M. Liu, J. Wu, R. Yu, F. Lv, Prediction of Clinical Outcome for High-Intensity Focused Ultrasound Ablation of Uterine Leiomyomas Using Multiparametric MRI Radiomics-Based Machine Leaning Model, Front. Oncol. 11 (2021) 618604. https://doi.org/10.3389/fonc.2021.618604.
B. Keserci, Duc NM, C. Nadarajan, H.Q. Huy, A. Saizan, A.W. Wan, K. Osman, M.S. Abdullah, Volumetric MRI-guided, high-intensity focused ultrasound ablation of uterine leiomyomas: ASEAN preliminary experience, Diagn. Interv. Radiol. 26 (2020) 207–215. https://doi.org/10.5152/dir.2019.19157.
C. Wei, N. Li, B. Shi, C. Wang, Y. Wu, T. Lin, Y. Chen, Y. Ge, Y. Yu, J. Dong, The predictive value of conventional MRI combined with radiomics in the immediate ablation rate of HIFU treatment for uterine fibroids, Int. J. Hyperthermia 39 (2022) 475-484. https://doi.org/10.1080/02656736.2022.2046182.
L.F. Orsini, S. Salardi, G. Pilu, L. Bovicelli, E. Cacciari, Pelvic organs in premenarcheal girls: real-time ultrasonography, Radiology 153 (1984) 113-6. https://doi.org/10.1148/radiology.153.1.6473771.
C. Wei, X. Fang, C.B. Wang, Y. Chen, X. Xu, J.N. Dong, The predictive value of quantitative DCE metrics for immediate therapeutic response of high-intensity focused ultrasound ablation (HIFU) of symptomatic uterine fibroids, Abdom. Radiol. 43 (2018) 2169-2175. https://doi.org/10.1007/s00261-017-1426-7.
W.Z. Chen, L.D. Tang, W.W. Yang, Y. Zhang, J. Li, W.X. Xia, J.M. Zhou, B.R. Zhu, C.Q. Zhao, H. Linghu, J.Y. Chen, L. Zhu, Y.B. Deng, Z.B. Wang, [Study on the efficacy and safety of ultrasound ablation in treatment of uterine fibroids], Zhonghua Fu Chan Ke Za Zhi 45 (2010) 909-12.
E.A. Stewart, B. Gostout, J. Rabinovici, H.S. Kim, L. Regan, C.M. Tempany, Sustained relief of leiomyoma symptoms by using focused ultrasound surgery, Obstet. Gynecol. 110 (2007) 279-87. https://doi.org/10.1097/01.AOG.0000275283.39475.f6.
S. Weiss, T. Jaermann, P. Schmid, P. Staempfli, P. Boesiger, P. Niederer, R. Caduff, M. Bajka, Three-dimensional fiber architecture of the nonpregnant human uterus determined ex vivo using magnetic resonance diffusion tensor imaging, Anat Rec A Discov Mol Cell Evol Biol 288 (2006) 84-90. https://doi.org/10.1002/ar.a.20274.
W.P. Zhao, J.Y. Chen, W.Z. Chen, Effect of biological characteristics of different types of uterine fibroids, as assessed with T2-weighted magnetic resonance imaging, on ultrasound-guided high-intensity focused ultrasound ablation, Ultrasound Med. Biol. 41 (2015) 423-31. https://doi.org/10.1016/j.ultrasmedbio.2014.09.022.
C. Li, C. Jin, T. Liang, X. Li, R. Wang, Y. Zhang, J. Yang, Magnetic resonance-guided high-intensity focused ultrasound of uterine fibroids: whole-tumor quantitative perfusion for prediction of immediate ablation response, Acta Radiol. 61 (2020) 1125-1133. https://doi.org/10.1177/0284185119891692.
M. Cutajar, J.D. Clayden, C.A. Clark, I. Gordon, Test-retest reliability and repeatability of renal diffusion tensor MRI in healthy subjects, Eur. J. Radiol. 80 (2011) e263-8. https://doi.org/10.1016/j.ejrad.2010.12.018.
Y. Işık, B. Gürses, N. Taşdelen, O. Kılıçkesmez, Z. Fırat, C. Ordu, N. Gürmen, Diffusion tensor imaging in the differentiation of adrenal adenomas and metastases, Diagn. Interv. Radiol. 18 (2012) 189-94. https://doi.org/10.4261/1305-3825.DIR.4582-11.1.
R.S. Lanzman, H.J. Wittsack, Diffusion tensor imaging in abdominal organs, Nmr Biomed. 30 (2017). https://doi.org/10.1002/nbm.3434.
R. Bammer, M. Auer, S.L. Keeling, M. Augustin, L.A. Stables, R.W. Prokesch, R. Stollberger, M.E. Moseley, F. Fazekas, Diffusion tensor imaging using single-shot SENSE-EPI, Magn. Reson. Med. 48 (2002) 128-36. https://doi.org/10.1002/mrm.10184.
M.A. Griswold, P.M. Jakob, R.M. Heidemann, M. Nittka, V. Jellus, J. Wang, B. Kiefer, A. Haase, Generalized autocalibrating partially parallel acquisitions (GRAPPA), Magn. Reson. Med. 47 (2002) 1202-10. https://doi.org/10.1002/mrm.10171.
B. Taouli, D.M. Koh, Diffusion-weighted MR imaging of the liver, Radiology 254 (2010) 47-66. https://doi.org/10.1148/radiol.09090021.
P. Huber, J. Debus, J. Jenne, K. Jöchle, G. van Kaick, W.J. Lorenz, M. Wannenmacher, [Therapeutic ultrasound in tumor therapy. Principles, applications and new developments], Radiologe 36 (1996) 64–71. https://doi.org/10.1007/s001170050041.
K. Fujimoto, A. Kido, T. Okada, M. Uchikoshi, K. Togashi, Diffusion tensor imaging (DTI) of the normal human uterus in vivo at 3 teslas: comparison of DTI parameters in the different uterine layers, J. Magn. Reson. Imaging 38 (2013) 1494-500. https://doi.org/10.1002/jmri.24114.
M.J. Thrippleton, M.E. Bastin, K.I. Munro, A.R. Williams, A. Oniscu, M.A. Jansen, G.D. Merrifield, G. McKillop, D.E. Newby, S.I. Semple, I. Marshall, H.O. Critchley, Ex vivo water diffusion tensor properties of the fibroid uterus at 7 T and their relation to tissue morphology, J. Magn. Reson. Imaging 34 (2011) 1445-51. https://doi.org/10.1002/jmri.22793.
M. Marinova, S. Ghaei, F. Recker, T. Tonguc, O. Kaverina, O. Savchenko, D. Kravchenko, M. Thudium, C.C. Pieper, E.K. Egger, A. Mustea, U. Attenberger, R. Conrad, D.R. Hadizadeh, H. Strunk, Efficacy of ultrasound-guided high-intensity focused ultrasound (USgHIFU) for uterine fibroids: an observational single-center study, Int. J. Hyperthermia 38 (2021) 30-38. https://doi.org/10.1080/02656736.2021.1939444.
H. Huang, J. Ran, Z. Xiao, L. Ou, X. Li, J. Xu, Q. Wang, Z. Wang, F. Li, Reasons for different therapeutic effects of high-intensity focused ultrasound ablation on excised uterine fibroids with different signal intensities on T2-weighted MRI: a study of histopathological characteristics, Int. J. Hyperthermia 36 (2019) 477-484. https://doi.org/10.1080/02656736.2019.1592242.
P.C. Lyon, V. Rai, N. Price, A. Shah, F. Wu, D. Cranston, Ultrasound-Guided High Intensity Focused Ultrasound Ablation for Symptomatic Uterine Fibroids: Preliminary Clinical Experience, Ultraschall Med. 41 (2020) 550-556. https://doi.org/10.1055/a-0891-0729.
Y.J. Wang, P.H. Zhang, R. Zhang, P.L. An, Predictive Value of Quantitative Uterine Fibroid Perfusion Parameters From Contrast -Enhanced Ultrasound for the Therapeutic Effect of High-Intensity Focused Ultrasound Ablation, J. Ultrasound Med. 38 (2019) 1511-1517. https://doi.org/10.1002/jum.14838.
P. Phukan, K. Sarma, A.Y. Khan, B. Barman, M. Jamil, S. Gogoi, Diffusion tensor imaging analysis in scrub typhus meningoencephalitis to determine the alteration of microstructural subcortical white-matter integrity, Neuradiology J. 34 (2021) 187-192. https://doi.org/10.1177/1971400920980311.
H.H. Pennes, Analysis of tissue and arterial blood temperatures in the resting human forearm. 1948, J. Appl. Physiol. 85 (1998) 5-34. https://doi.org/10.1152/jappl.1998.85.1.5.
B. Keserci, Duc NM, The role of T1 perfusion-based classification in magnetic resonance- guided high -intensity focused ultrasound ablation of uterine fibroids, Eur. Radiol. 27 (2017) 5299-5308. https://doi.org/10.1007/s00330-017-4885-x.
W.P. Zhao, J.Y. Chen, W.Z. Chen, Dynamic contrast-enhanced MRI serves as a predictor of HIFU treatment outcome for uterine fibroids with hyperintensity in T2-weighted images, Exp. Ther. Med. 11 (2016) 328-334. https://doi.org/10.3892/etm.2015.2879.
P. Chauvet, N. Bourdel, L. Calvet, B. Magnin, G. Teluob, M. Canis, A. Bartoli, Augmented Reality with Diffusion Tensor Imaging and Tractography during Laparoscopic Myomectomies, J. Minim. Invasive Gynecol. 27 (2020) 973-976. https://doi.org/10.1016/j.jmig.2019.11.007.
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This study has received funding from Nanchong City School Cooperation Project (No.19SXHZ0429).
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Qin, Sz., Jiang, Y., Wang, Yl. et al. Predicting the efficacy of high-intensity focused ultrasound (HIFU) ablation for uterine leiomyomas based on DTI indicators and imaging features. Abdom Radiol (2023). https://doi.org/10.1007/s00261-023-03865-6
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DOI: https://doi.org/10.1007/s00261-023-03865-6