Share:
Share this content in WeChat
X
Clinical Article
Evaluation of the value of diffusion tensor imaging in assessing the early efficacy of high-intensity focused ultrasound in adenomyosis
MO Fan  GONG Chunmei  PENG Gang  LI Hongxia  REN Zhen  LÜ Fajin 

Cite this article as: MO F, GONG C M, PENG G, et al. Evaluation of the value of diffusion tensor imaging in assessing the early efficacy of high-intensity focused ultrasound in adenomyosis[J]. Chin J Magn Reson Imaging, 2025, 16(10): 76-82. DOI:10.12015/issn.1674-8034.2025.10.012.


[Abstract] Objective To investigate the correlation between preoperative diffusion tensor imaging (DTI) parameters and the early ablation efficacy of high-intensity focused ultrasound (HIFU) in the treatment of adenomyosis, and to evaluate the predictive value of DTI-derived quantitative parameters.Materials and Methods A retrospective study was conducted on 40 patients with adenomyosis, involving a total of 42 lesions. All participants underwent contrast-enhanced MRI (CE-MRI) and DTI scans both preoperatively and within one day after HIFU treatment. The following preoperative DTI parameters were measured: fractional anisotropy (FA), apparent diffusion coefficient (ADC), exponential map (EXP), mean fiber tract length, and mean fiber density. Correlation analyses were performed between these parameters and the non-perfused volume ratio (NPVR) as a measure of ablation efficacy.Results Mean fiber tract length (r = 0.524, P = 0.002) and fiber density (r = 0.603, P = 0.001) were significantly positively correlated with NPVR. In contrast, FA, ADC, and EXP showed no significant correlation. When using NPVR > 50% as the threshold for satisfactory ablation, the area under the ROC curve (AUC) was 0.785 [95% confidence interval (CI): 0.622 to 0.949, P = 0.006] for mean fiber density and 0.711 (95% CI: 0.525 to 0.897, P = 0.042) for mean fiber tract length.Conclusions DTI parameters are associated with variations in HIFU treatment efficacy for adenomyosis. Specifically, greater mean fiber tract length and fiber density are positively correlated with better ablation outcomes. These preoperative DTI-based quantitative parameters may serve as useful predictors of therapeutic efficacy in HIFU treatment for adenomyosis.
[Keywords] fiber tractography;diffusion tensor imaging;adenomyosis;high-intensity focused ultrasound;magnetic resonance imaging

MO Fan1   GONG Chunmei1   PENG Gang2   LI Hongxia1   REN Zhen1   LÜ Fajin1, 2*  

1 State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing 400016, China

2 Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China

Corresponding author: LÜ F J, E-mail: fajinlv@163.com

Conflicts of interest   None.

Received  2025-06-26
Accepted  2025-10-10
DOI: 10.12015/issn.1674-8034.2025.10.012
Cite this article as: MO F, GONG C M, PENG G, et al. Evaluation of the value of diffusion tensor imaging in assessing the early efficacy of high-intensity focused ultrasound in adenomyosis[J]. Chin J Magn Reson Imaging, 2025, 16(10): 76-82. DOI:10.12015/issn.1674-8034.2025.10.012.

[1]
LENG J H. China expert consensus on diagnosis and treatment of adenomyosis[J]. Chin J Obstet Gynecol, 2020, 55(6): 376-383. DOI: 10.3760/cma.j.cn112141-20200228-00150.
[2]
KOLOVOS G, DEDES I, IMBODEN S, et al. Adenomyosis-a call for awareness, early detection, and effective treatment strategies: a narrative review[J/OL]. Healthcare (Basel), 2024, 12(16): 1641 [2025-05-26]. https://www.mdpi.com/2227-9032/12/16/1641. DOI: 10.3390/healthcare12161641.
[3]
KIM H, FRISCH E H, FALCONE T. From diagnosis to fertility: optimizing treatment of adenomyosis for reproductive health[J/OL]. J Clin Med, 2024, 13(16): 4926 [2025-05-26]. https://www.mdpi.com/2077-0383/13/16/4926. DOI: 10.3390/jcm13164926.
[4]
SCHAWLOCHOW K, SAMARTZIS N, BURLA L, et al. Adenomyosis localized in both the anterior and posterior myometrium is associated with deep rectal endometriosis: A retrospective study[J/OL]. Biomedicines, 2024, 12(11): 2527 [2025-05-26]. https://www.mdpi.com/2227-9059/12/11/2527. DOI: 10.3390/biomedicines12112527.
[5]
ALCALDE A M, MARTÍNEZ-ZAMORA M Á, GRACIA M, et al. Impact of adenomyosis on women's psychological health and work productivity: A comparative cross-sectional study[J]. J Womens Health (Larchmt), 2021, 30(11): 1653-1659. DOI: 10.1089/jwh.2020.8789.
[6]
FEGHALI E, ETRUSCO A, HAYDAMOUS J, et al. Concurrent diagnosis of adenomyosis and congenital uterine anomalies: a review[J/OL]. J Pers Med, 2023, 13(5): 716 [2025-05-26]. https://www.mdpi.com/2075-4426/13/5/716. DOI: 10.3390/jpm13050716.
[7]
ZHANG M, BAZOT M, TSATOUMAS M, et al. MRI of adenomyosis: where are we today?[J]. Can Assoc Radiol J, 2023, 74(1): 58-68. DOI: 10.1177/08465371221114197.
[8]
MOAWAD G, FRUSCALZO A, YOUSSEF Y, et al. Adenomyosis: an updated review on diagnosis and classification[J/OL]. J Clin Med, 2023, 12(14): 4828 [2025-05-26]. https://www.mdpi.com/2077-0383/12/14/4828. DOI: 10.3390/jcm12144828.
[9]
ZHANG L, RAO F W, SETZEN R. High intensity focused ultrasound for the treatment of adenomyosis: selection criteria, efficacy, safety and fertility[J]. Acta Obstet Gynecol Scand, 2017, 96(6): 707-714. DOI: 10.1111/aogs.13159.
[10]
CUI J, GUO R, XIN R Q. Predictive value of machine learning model based on ADC radiomics in evaluating the invasion depth of endometrial carcinoma[J]. Chin J Magn Reson Imag, 2025, 16(3): 77-82. DOI: 10.12015/issn.1674-8034.2025.03.012.
[11]
KESERCI B, DUC N M. Magnetic resonance imaging features influencing high-intensity focused ultrasound ablation of adenomyosis with a nonperfused volume ratio of ≥90% as a measure of clinical treatment success: retrospective multivariate analysis[J]. Int J Hyperthermia, 2018, 35(1): 626-636. DOI: 10.1080/02656736.2018.1516301.
[12]
YU J W, YANG M J, JIANG L, et al. Factors influencing USgHIFU ablation for adenomyosis with NPVR ≥ 50[J/OL]. Int J Hyperthermia, 2023, 40(1): 2211753 [2025-05-26]. https://pubmed.ncbi.nlm.nih.gov/37211351/. DOI: 10.1080/02656736.2023.2211753.
[13]
Minimally Invasive Therapeutics Group of MRI Application Committee of China Medical Equipment Association. China consensus on MR guided focused ultrasound for uterine fibroids[J]. Chin J Radiol, 2020, 54(8): 737-744. DOI: 10.3760/cma.j.cn112149-20200318-00413.
[14]
COIMBRA S, ROCHA S, SOUSA N R, et al. Toxicity mechanisms of gadolinium and gadolinium-based contrast agents-a review[J/OL]. Int J Mol Sci, 2024, 25(7): 4071 [2025-05-26]. https://pubmed.ncbi.nlm.nih.gov/38612881/. DOI: 10.3390/ijms25074071.
[15]
WEISS S, JAERMANN T, SCHMID P, et al. Three-dimensional fiber architecture of the nonpregnant human uterus determined ex vivo using magnetic resonance diffusion tensor imaging[J]. Anat Rec Part A Discov Mol Cell Evol Biol, 2006, 288A(1): 84-90. DOI: 10.1002/ar.a.20274.
[16]
FIOCCHI F, NOCETTI L, SIOPIS E, et al. In vivo 3 T MR diffusion tensor imaging for detection of the fibre architecture of the human uterus: a feasibility and quantitative study[J/OL]. Br J Radiol, 2012, 85(1019): e1009-17 [2025-05-26]. https://pubmed.ncbi.nlm.nih.gov/22744322/. DOI: 10.1259/bjr/76693739.
[17]
ZHOU F L, LV F R, LV F J, et al. The predictive value of quantitative DTI fibre tractography metrics for ablation effect of high intensity focused ultrasound in treating uterine fibroids[J]. J Clin Radiol, 2020, 39(1): 206-211. DOI: 10.13437/j.cnki.jcr.2020.01.043.
[18]
LIAO D F, XIAO Z B, LV F R, et al. Non-contrast enhanced MRI for assessment of uterine fibroids' early response to ultrasound-guided high-intensity focused ultrasound thermal ablation[J/OL]. Eur J Radiol, 2020, 122: 108670 [2025-05-26]. https://pubmed.ncbi.nlm.nih.gov/31778966/. DOI: 10.1016/j.ejrad.2019.108670.
[19]
GUO Q, QU D C, CHEN Y, et al. Correlation between magnetic resonance imaging characteristics of adenomyosis and therapeutic effect of high intensity focused ultrasound[J]. J N Sichuan Med Coll, 2023, 38(11): 1465-1468. DOI: 10.3969/j.issn.1005-3697.2023.11.006.
[20]
TANG M M, WANG L, ZHANG K, et al. Evaluation of DWI on the early therapeutic efficacy of HIFU in adenomyosis[J]. Chin J Magn Reson Imag, 2023, 14(12): 66-71. DOI: 10.12015/issn.1674-8034.2023.12.011.
[21]
GONG C M, WANG Y Y, LV F J, et al. Evaluation of high intensity focused ultrasound treatment for different types of adenomyosis based on magnetic resonance imaging classification[J]. Int J Hyperthermia, 2022, 39(1): 530-538. DOI: 10.1080/02656736.2022.2052366.
[22]
YING J, JING X, GAO F, et al. Prediction of ablation rate for high-intensity focused ultrasound therapy of adenomyosis in MR images based on multi-model fusion[J]. J Imaging Inform Med, 2024, 37(4): 1579-1590. DOI: 10.1007/s10278-024-01063-4.
[23]
HAO Q, LIU J W, HOU R Y, et al. Conventional magnetic resonance imaging combined with three-dimensional ultrasound for preoperative prediction of immediate ablation rate in high-intensity focused ultrasound treatment of uterine fibroids[J/OL]. Int J Hyperthermia, 2025, 42(1): 2448545 [2025-05-26]. https://pubmed.ncbi.nlm.nih.gov/39842805/. DOI: 10.1080/02656736.2024.2448545.
[24]
CHEN Y, LIU M L, HUANG D Q, et al. Predicting short-term and long-term efficacy of HIFU treatment for uterine fibroids based on clinical information and MRI: a retrospective study[J]. Acad Radiol, 2025, 32(3): 1488-1499. DOI: 10.1016/j.acra.2024.09.040.
[25]
QIN S Z, JIANG Y, WANG Y L, et al. Predicting the efficacy of high-intensity focused ultrasound (HIFU) ablation for uterine leiomyomas based on DTI indicators and imaging features[J]. Abdom Radiol (NY), 2024, 49(6): 2017-2026. DOI: 10.1007/s00261-023-03865-6.
[26]
GHADERI S, MOHAMMADI S, FATEHI F. Diffusion tensor imaging (DTI) biomarker alterations in brain metastases and comparable tumors: A systematic review of DTI and tractography findings[J]. World Neurosurg, 2024, 190: 113-129. DOI: 10.1016/j.wneu.2024.07.037.
[27]
LI B X, SHI Y, DING H Y, et al. Study of diffusion tensor imaging parameters in foraminal cervical nerve of healthy volunteers and fiber bundle reconstruction[J]. Chin J Magn Reson Imag, 2024, 15(1): 101-105, 124. DOI: 10.12015/issn.1674-8034.2024.01.016.
[28]
WU Z, LI F Z, WANG Z Y, et al. The value of DWI in the effectiveness of high-intensity focused ultrasound ablation of adenomyosis[J]. J Pract Med, 2019, 35(10): 1652-1654, 1658. DOI: 10.3969/j.issn.1006-5725.2019.10.027.
[29]
LIU X, WANG W, WANG Y, et al. Clinical predictors of long-term success in ultrasound-guided high-intensity focused ultrasound ablation treatment for adenomyosis: a retrospective study[J/OL]. Medicine (Baltimore), 2016, 95(3): e2443 [2025-05-26]. https://pubmed.ncbi.nlm.nih.gov/26817877/. DOI: 10.1097/MD.0000000000002443.
[30]
DU C C, WANG Y Q, QU D C, et al. Magnetic resonance imaging T2WI hyperintense foci number and the prognosis of adenomyosis after high-intensity focused ultrasound treatment[J]. Int J Gynaecol Obstet, 2021, 154(2): 241-247. DOI: 10.1002/ijgo.13587.
[31]
ANTERO M F, AYHAN A, SEGARS J, et al. Pathology and pathogenesis of adenomyosis[J]. Semin Reprod Med, 2020, 38(2/03): 108-118. DOI: 10.1055/s-0040-1718922.
[32]
LI B X, SU Y X, ZHANG M, et al. Evaluation of diffusion tensor imaging in foraminal cervical nerve and fiber bundle reconstruction in patients with cervical spondylotic radiculopathy[J]. Jpn J Radiol, 2025, 43(8): 1357-1364. DOI: 10.1007/s11604-025-01776-8.
[33]
TAO S Q, SHI L Y, CHAI X S, et al. Value of multi-modal MRI in predicting the effect of high-intensity focused ultrasound for uterine fibroids[J/OL]. Int J Hyperthermia, 2025, 42(1): 2495360 [2025-05-26]. https://pubmed.ncbi.nlm.nih.gov/40269574/. DOI: 10.1080/02656736.2025.2495360.
[34]
GONG C M, YANG B, SHI Y R, et al. Factors influencing the ablative efficiency of high intensity focused ultrasound (HIFU) treatment for adenomyosis: a retrospective study[J]. Int J Hyperthermia, 2016, 32(5): 496-503. DOI: 10.3109/02656736.2016.1149232.
[35]
LONG Y P, GAN Y, SUN F J, et al. Study on the heating law of thermal effect of HIFU on tissue based on piezoelectric ceramic voltage and vibration frequency[J/OL]. Sci Rep, 2025, 15(1): 4168 [2025-05-26]. https://pubmed.ncbi.nlm.nih.gov/39905147/. DOI: 10.1038/s41598-025-87166-6.

PREV Habitat analysis and peritumoral radiomics for predicting castration resistance in prostate cancer patients
NEXT Super-resolution reconstruction technique enhances the diagnostic efficacy of deep learning-based prediction of lymphvascular space invasion in endometrial cancer
  



Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn