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• Clinical Article •
Preliminary exploration of predicting clinical efficacy after acupuncture and rehabilitation therapy for lumbar disc herniation based on Radiomics Features of MRI
LIU Rong  XIAO Li  KUAI Lin  WU Meng  HAN Chao 

Cite this article as: LIU R, XIAO L, KUAI L, et al. Preliminary exploration of predicting clinical efficacy after acupuncture and rehabilitation therapy for lumbar disc herniation based on Radiomics Features of MRI[J]. Chin J Magn Reson Imaging, 2025, 16(4): 93-98. DOI:10.12015/issn.1674-8034.2025.04.014.


[Abstract] Objective To explore the value of an radiomics model based on MRI transverse axial plain scan in predicting the clinical efficacy of acupuncture and moxibustion rehabilitation therapy for lumbar disc herniation (LDH).Materials and Methods A retrospective analysis was conducted on 155 LDH patients who had completed one courses of acupuncture and moxibustion rehabilitation treatment in hospital (102 cases were effective and 53 cases were ineffective). In R software, the patients were divided into a training set (n = 108) and a testing set (n = 47) using the sample function at a ratio of 7∶3. For each patient, 851 radiomics features were extracted using 3D-Slicer software based on the pre-treatment magnetic resonance T2WI transverse axial image. After removing redundant features using Pearson or Spearman correlation analysis, the least absolute shrinkage and selection operator (LASSO) regression analysis was used to further reduce the dimensionality of the features and construct the model. The receiver operating characteristic (ROC) curve was applied to the training and testing sets to validate the model and evaluate the efficacy of radiomics features in predicting the clinical efficacy of acupuncture rehabilitation therapy for LDH.Results After feature selection, 7 radiomics features were used to construct a clinical efficacy prediction model for LDH acupuncture and moxibustion rehabilitation therapy. The area under the ROC curve (AUC) of the prediction model in the training set was 0.862 [95% confidence interval (CI): 0.789 to 0.935], with sensitivity and specificity of 82.5% and 75.0%, respectively; the AUC of the test set was 0.887 (95% CI: 0.773 to 0.989), with sensitivity and specificity of 92.3% and 79.4%, respectively.Conclusions Based on the MRI axial imaging-based radiomics model, it exhibits excellent predictive performance for the clinical efficacy of acupuncture and rehabilitation therapy for LDH, serving as a robust basis for clinical decision-making.
[Keywords] lumbar disc herniation；acupuncture；rehabilitation therapy；magnetic resonance imaging；radiomics；efficacy prediction

LIU Rong*   XIAO Li   KUAI Lin   WU Meng   HAN Chao  

Department of Radiology, Pidu Hospital of Traditional Chinese Medcine in Chengdu City, Chengdu 611730, China

Corresponding author: LIU R, E-mail: pdqliurong@163.com

Conflicts of interest   None.

Received  2024-10-22
Accepted  2025-03-10
DOI: 10.12015/issn.1674-8034.2025.04.014
Cite this article as: LIU R, XIAO L, KUAI L, et al. Preliminary exploration of predicting clinical efficacy after acupuncture and rehabilitation therapy for lumbar disc herniation based on Radiomics Features of MRI[J]. Chin J Magn Reson Imaging, 2025, 16(4): 93-98. DOI:10.12015/issn.1674-8034.2025.04.014.

[1]
ARTS M P, KURŠUMOVIĆ A, MILLER L E, et al. Comparison of treatments for lumbar disc herniation: Systematic review with network meta-analysis[J/OL]. Medicine, 2019, 98(7): e14410 [2025-03-04]. https://pubmed.ncbi.nlm.nih.gov/30762743/. DOI: 10.1097/MD.0000000000014410.
[2]
SOPAJ AZEMI E, KOLA I, KOLA S, et al. Prevalence of lumbar disk herniation in adult patients with low back pain based in magnetic resonance imaging diagnosis[J]. Open Access Maced J Med Sci, 2022, 10: 1720-1725. DOI: 10.3889/oamjms.2022.8768.
[3]
CHENG Z X, ZHENG Y J, FENG Z Y, et al. Chinese association for the study of pain: expert consensus on diagnosis and treatment for lumbar disc herniation[J]. World J Clin Cases, 2021, 9(9): 2058-2067. DOI: 10.12998/wjcc.v9.i9.2058.
[4]
SUN W L, SU X Y, LIU Y, et al. Effect of warm acupuncture combined with lumbar core muscle strength training on rehabilitation effect, quality of life and serum inflammatory factors in patients with lumbar disc herniation[J]. Prog Mod Biomed, 2020, 20(22): 4307-4310, 4400. DOI: 10.13241/j.cnki.pmb.2020.22.023.
[5]
LOU J, ZHANG G F, DONG M Z. Effect of acupuncture and rehabilitation training on the range of motion and pain of lumbar joint after lumbar disc herniation operation[J]. J Pract Tradit Chin Med, 2021, 37(1): 125-127.
[6]
DI X S, CHEN J, WANG X R, et al. Progress of researches on mechanisms of acupuncture therapy in the treatment of lumbar disc herniation[J]. Acupunct Res, 2024, 49(5): 526-533. DOI: 10.13702/j.1000-0607.20230129.
[7]
ZHAN Y, XIA Y. Study on rehabilitation treatment of patients with lumbar disc herniation by acupuncture and massage[J]. Highlights Sci Eng Technol, 2023, 45: 329-333. DOI: 10.54097/hset.v45i.7485.
[8]
SUN Q Z, WANG M, ZHANG Y F. Establishment of individualized early warning model for recurrence of lumbar disc herniation after acupuncture and moxibustion combined with rehabilitation training[J]. J Cervicodynia Lumbodynia, 2024, 45(2): 281-285. DOI: 10.3969/j.issn.1005-7234.2024.02.018.
[9]
CHEN D, LV Z M, WU Y C, et al. Estimating surgical probability: Development and validation of a prognostic model for patients with lumbar disc herniation treated with acupuncture[J/OL]. Medicine, 2023, 102(48): e36425 [2025-03-04]. https://pubmed.ncbi.nlm.nih.gov/38050285/. DOI: 10.1097/MD.0000000000036425.
[10]
XU Y H, ZHU S F, ZHOU J, et al. Clinical value of MRI in the diagnosis of lumbar disc herniation[J]. Zhejiang J Trauma Surg, 2023, 28(2):370-373. DOI: 10.3969/j.issn.1009-7147.2023.02.052.
[11]
LÜ F. Observation on therapeutic effect of acupuncture combined with comprehensive rehabilitation training on lumbar disc herniation[J]. Inn Mong J Tradit Chin Med, 2024, 43(3): 133-135. DOI: 10.16040/j.cnki.cn15-1101.2024.03.025.
[12]
PENCHEV P, ILYOV I G, TODOROV T, et al. Comprehensive analysis of treatment approaches for lumbar disc herniation: a systematic review[J/OL]. Cureus, 2024, 16(8): e67899 [2025-03-04]. https://pubmed.ncbi.nlm.nih.gov/39328604/. DOI: 10.7759/cureus.67899.
[13]
JIA L S,LI J,LIN B D. Spinal Surgery[M]. Shanghai: Second Military Medical University Press, 2009: 128-132.
[14]
HAJIAN-TILAKI K. Sample size estimation in diagnostic test studies of biomedical informatics[J]. J Biomed Inform, 2014, 48: 193-204. DOI: 10.1016/j.jbi.2014.02.013.
[15]
LIU Q, ZHANG H, LIN F X, et al. Acupuncture treatment for lumbar disc herniation with scoliosis: A case report[J/OL]. Medicine, 2023, 102(52): e36684 [2025-03-04]. https://pubmed.ncbi.nlm.nih.gov/38206743/. DOI: 10.1097/MD.0000000000036684.
[16]
PAN J L, JIANG Y P, ZHAN Y Y, et al. Radiomics models based on non-enhanced MRI can differentiate chondrosarcoma from enchondroma[J]. J South Med Univ, 2020, 40(4): 483-490. DOI: 10.12122/j.issn.1673-4254.2020.04.06.
[17]
CICCHETTI D V. Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology[J]. Psychol Assess, 1994, 6(4): 284-290. DOI: 10.1037//1040-3590.6.4.284.
[18]
DENG L Y, NING X, YANG H, et al. Predictive value of nerve root sedimentation sign in non-surgical treatment of lumbar disc herniation[J]. Chin J Bone Jt Inj, 2022, 37(5): 449-452. DOI: 10.7531/j.issn.1672-9935.2022.05.001.
[19]
XUE W G, WEI C J, HE Z Z, et al. Forecasting study of massage effect on extrude disk[J]. J Beijing Univ Tradit Chin Med, 2006, 29(8): 572-573, 576. DOI: 10.3321/j.issn:1006-2157.2006.08.019.
[20]
LIU C. Research on Lumbar Intervertebral Disc Degeneration Based on IVIM and Texture Analysis[D]. Wuhu: Wannan Medical College, 2023. DOI: 10.27374/d.cnki.gwnyy.2023.000090.
[21]
SARAVI B, ZINK A, ÜLKÜMEN S, et al. Clinical and radiomics feature-based outcome analysis in lumbar disc herniation surgery[J/OL]. BMC Musculoskelet Disord, 2023, 24(1): 791 [2025-03-04]. https://pubmed.ncbi.nlm.nih.gov/37803313/. DOI: 10.1186/s12891-023-06911-y.
[22]
YU G, YANG W L, ZHANG J K, et al. Application of a nomogram to radiomics labels in the treatment prediction scheme for lumbar disc herniation[J/OL]. BMC Med Imaging, 2022, 22(1): 51 [2025-03-04]. https://pubmed.ncbi.nlm.nih.gov/35305577/. DOI: 10.1186/s12880-022-00778-6.
[23]
WIRRIES A, GEIGER F, HAMMAD A, et al. AI prediction of neuropathic pain after lumbar disc herniation-machine learning reveals influencing factors[J/OL]. Biomedicines, 2022, 10(6): 1319 [2025-03-04]. https://pubmed.ncbi.nlm.nih.gov/35740341/. DOI: 10.3390/biomedicines10061319.
[24]
JAMES G, AHERN B J, GOODWIN W, et al. Targeted multifidus muscle activation reduces fibrosis of multifidus muscle following intervertebral disc injury[J]. Eur Spine J, 2024, 33(6): 2166-2178. DOI: 10.1007/s00586-024-08234-5.
[25]
WEN D G, HU S X, LI Z L, et al. Application of automated machine learning based on radiomics features of T2WI and RS-EPI DWI to predict preoperative T staging of rectal cancer[J]. J Sichuan Univ Med Sci, 2021, 52(4): 698-705. DOI: 10.12182/20210460201.
[26]
LIANG F R. Research on Image Assisted Diagnosis Method Based on Multimodal Features and Multi classifier Fusion[D]. Guangzhou: Southern Medical University, 2022. DOI: 10.27003/d.cnki.gojyu.2022.000628.
[27]
LI M M, XU G D, XU G F, et al. Preoperative prediction of BRAF mutation and prognosis in colorectal cancer using CT radiomics nomogram[J]. Chin J Med Imag, 2024, 32(8): 821-827. DOI: 10.3969/j.issn.1005-5185.2024.08.012.
[28]
MARISCAL G, TORRES E, BARRIOS C. Incidence of recurrent lumbar disc herniation: A narrative review[J]. J Craniovertebr Junction Spine, 2022, 13(2): 110-113. DOI: 10.4103/jcvjs.jcvjs_38_22.

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