ISSN 1004-4140
CN 11-3017/P
Volume 31 Issue 3
Jun.  2022
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GUO J, XIN J F, ZHANG C Y, et al. Spectral CT multi-material decomposition in evaluation of secondary lower extremity lymphedema: A prospective study[J]. CT Theory and Applications, 2022, 31(3): 365-371. DOI: 10.15953/j.ctta.2022.004. (in Chinese)
Citation: GUO J, XIN J F, ZHANG C Y, et al. Spectral CT multi-material decomposition in evaluation of secondary lower extremity lymphedema: A prospective study[J]. CT Theory and Applications, 2022, 31(3): 365-371. DOI: 10.15953/j.ctta.2022.004. (in Chinese)

Spectral CT Multi-material Decomposition in Evaluation of Secondary Lower Extremity Lymphedema: A Prospective Study

doi: 10.15953/j.ctta.2022.004
  • Received Date: 2022-01-07
  • Accepted Date: 2022-02-17
  • Available Online: 2022-03-04
  • Publish Date: 2022-05-23
  • Objective: To explore the application value of spectral CT multi-material decomposition (MMD) algorithm in the grading of secondary lower extremity Lymphedema. Materials and methods: Prospective collection of patients who underwent spectral CT admitted to our hospital from June 2019 to June 2020 were prospectively collected. The spectral CT images were analyzed by two radiologists with more than five years of experience in CT diagnosis. The volume of the both lower limbs were measured using the threshold value software. Based on the percentage increase in the volume of the affected side compared to the healthy side, the enrolled patients were divided into three grades: mild, moderate, and severe. Percentage fat volume fraction (FVF) images were generated by using the MMD algorithm on spectral CT to measure the fat content of the affected and healthy lower limbs respectively. Paired t test were used to analyze the difference of the percentage FVF between the affected and healthy side in mild, moderate, severe patients. Results: Forty patients (female/male, 36/4 cases, with age range of 32-71 years old, median age of (53±10) years) were finally enrolled, and the course of disease was (3±5) years. There were 8 cases in mild group, 14 cases in moderate group and 18 cases in severe group. There were statistical differences in the percentage FVF between the affected and healthy side in mild, moderate and severe patients. There was no statistical difference in the percentage FVF of the affected side among mild, moderate and severe patients.Conclusion: The spectral CT MMD algorithm can quantify the percentage FVF of Secondary Lower Extremity Lymphedema, but it cannot be used alone in the grading of secondary lower extremity lymphedema.

     

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  • [1]
    常鲲, 夏松, 孙宇光, 等. 联合应用抽吸减容术与淋巴静脉吻合术治疗下肢继发性淋巴水肿的临床效果[J]. 中华外科杂志, 2017,55(4): 274−278. DOI: 10.3760/cma.j.issn.0529-5815.2017.04.008.

    CHANG K, XIA S, SUN Y G, et al. Liposuction combined with lymphatico-venous anastomosis for treatment of secondary lymphedema of the lower limbs: A report of 49 cases[J]. Chinese Journal of Surgery, 2017, 55(4): 274−278. DOI: 10.3760/cma.j.issn.0529-5815.2017.04.008. (in Chinese).
    [2]
    中国妇幼保健协会妇科肿瘤防治专业委员会. 妇科肿瘤治疗后下肢淋巴水肿专家共识[J]. 中国临床医生杂志, 2021,49(2): 149−155. DOI: 10.3969/j.issn.2095-8552.2021.02.006.

    Professional Committee of Gynecological Cancer Prevention and Treatment of China Maternal and Child Health Association. Expert consensus on lower limb lymphedema after treatment of gynecological tumors[J]. Chinese Journal for Clinicians, 2021, 49(2): 149−155. DOI: 10.3969/j.issn.2095-8552.2021.02.006. (in Chinese).
    [3]
    FORTE A J, KHAN N, HUAYLLANI M T, et al. Lymphaticovenous anastomosis for lower extremity lymphedema: A systematic review[J]. Indian Journal of Plastic Surgery, 2020, 53(1): 17−24. DOI: 10.1055/s-0040-1709372.
    [4]
    Executive Committee. The diagnosis and treatment of peripheral lymphedema: 2016 consensus document of the international society of lymphology[J]. Lymphology, 2016, 49(4): 170−184.
    [5]
    MACLELLAN R A, GREENE A K. Lymphedema[J]. Seminars in Pediatric Surgery, 2014, 23(4): 191−197. DOI: 10.1053/j.sempedsurg.2014.07.004.
    [6]
    信建峰, 孙宇光, 夏松, 等. 淋巴脂肪抽吸减容术在下肢原发性淋巴水肿中的治疗及分析[J]. 中华整形外科杂志, 2019,35(2): 142−147. DOI: 10.3760/cma.j.issn.1009-4598.2019.02.009.

    XIN J F, SUN Y G, XIA S, et al. Application of liposuction in treating the primary end-stage lymphedema of lower extremities[J]. Chinese Journal of Plastic Surgery, 2019, 35(2): 142−147. DOI: 10.3760/cma.j.issn.1009-4598.2019.02.009. (in Chinese).
    [7]
    HYODO T, YADA N, HORI M, et al. Multimaterial decomposition algorithm for the quantification of liver fat content by using fast-kilovolt-peak switching dual-energy CT: Clinical evaluation[J]. Radiology, 2017, 283(1): 108−118. DOI: 10.1148/radiol.2017160130.
    [8]
    YAMADA K, SHINAOKA A, KIMATA Y. Three-dimensional imaging of lymphatic system in lymphedema legs using interstitial computed tomography-lymphography[J]. Acta Medica Okayama, 2017, 71(2): 171−177. DOI: 10.18926/AMO/54986.
    [9]
    OLSZEWSKI W L. Lymphovenous microsurgical shunts in treatment of lymphedema of lower limbs: A 45-year experience of one surgeon/one center[J]. European Journal of Vascular and Endovascular Surgery, 2013, 45(3): 282−290. DOI: 10.1016/j.ejvs.2012.11.025.
    [10]
    DELTOMBE T, JAMART J, RECLOUX S, et al. Reliability and limits of agreement of circumferential, water displacement, and optoelectronic volumetry in the measurement of upper limb lymphedema[J]. Lymphology, 2007, 40(1): 26−34.
    [11]
    TSUKADA A, UCHIDA K, AIKAWA J, et al. Unilateral-dominant reduction in muscle volume in female knee osteoarthritis patients: Computed tomography-based analysis of bilateral sides[J]. Journal of Orthopaedic Surgery and Research, 2020, 15(1): 543. DOI: 10.1186/s13018-020-02074-x.
    [12]
    杨献峰, 杨尚文, 胡安宁, 等. 基于CT值阈值法测量骨骼肌体积[J]. 中国医学计算机成像杂志, 2017,23(3): 287−291. DOI: 10.3969/j.issn.1006-5741.2017.03.019.

    YANG X F, YANG S W, HU A N, et al. Measurement of skeletal muscle volume based on CT value threshold method[J]. Chinese Journal of Medical Computer Imaging, 2017, 23(3): 287−291. DOI: 10.3969/j.issn.1006-5741.2017.03.019. (in Chinese).
    [13]
    张国来, 包强, 陈光辉, 等. CT阈值法测量乳突气房体积与面神经管垂直段位置的相关性[J]. 中国医学影像学杂志, 2016,24(3): 175−178. DOI: 10.3969/j.issn.1005-5185.2016.03.004.

    ZHANG G L, BAO Q, CHEN G H, et al. Correlation between the volume of the mastoid air chamber and the position of the vertical segment of the facial nerve canal measured by the CT threshold method[J]. Chinese Journal of Medical Imaging, 2016, 24(3): 175−178. DOI: 10.3969/j.issn.1005-5185.2016.03.004. (in Chinese).
    [14]
    郭佳, 沈文彬, 信建峰, 等. CT评价继发性下肢淋巴水肿分级的价值研究[J]. CT理论与应用研究, 2022,31(2): 237−244. DOI: 10.15953/j.ctta.2021.039.

    GUO J, SHEN W B, XIN J F, et al. CT imaging in secondary lower extremity lymphedema: A prospective study[J]. CT Theory and Applications, 2022, 31(2): 237−244. DOI: 10.15953/j.ctta.2021.039. (in Chinese).
    [15]
    CUCCHI F, ROSSMEISLOVA L, SIMONSEN L, et al. A vicious circle in chronic lymphedema pathophysiology? An adipocentric view[J]. Obesity Reviews, 2017, 18(10): 1159−1169. DOI: 10.1111/obr.12565.
    [16]
    CAO Q, YAN C, HAN X, et al. Quantitative evaluation of nonalcoholic fatty liver in rat by material decomposition techniques using rapid-switching dual energy CT[J]. Academic Radiology, 2021, S1076-6332(21): 00365−2. DOI: 10.1016/j.acra.2021.07.027.
    [17]
    MENDONCA P R, LAMB P, SAHANI D V, et al. A flexible method for multi-material decomposition of dual-energy CT images[J]. IEEE IEEE Transactions on Medical Imaging, 2014, 33(1): 99−116. DOI: 10.1109/TMI.2013.2281719.
    [18]
    WU X, HE P, LONG Z, et al. Multi-material decomposition of spectral CT images via fully convolutional densenets[J]. Journal of X-ray Science and Technology, 2019, 27(3): 461−471. DOI: 10.3233/XST-190500.
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