Dual-energy CT-based iodine quantification to differentiate abdominal malignant lymphoma from lymph node metastasis

被引:24
|
作者
Martin, Simon S. [1 ]
Czwikla, Rouben [2 ]
Wichmann, Julian L. [1 ]
Albrecht, Moritz H. [1 ]
Lenga, Lukas [1 ]
Savage, Rock H. [3 ]
Arendt, Christophe [2 ]
Hammerstingl, Renate [2 ]
Vogl, Thomas J. [2 ]
Kaltenbach, Benjamin [2 ]
机构
[1] Univ Hosp Frankfurt, Dept Diagnost & Intervent Radiol, Div Expt & Translat Imaging, Frankfurt, Germany
[2] Univ Hosp Frankfurt, Dept Diagnost & Intervent Radiol, Frankfurt, Germany
[3] Med Univ South Carolina, Dept Radiol & Radiol Sci, Charleston, SC 29425 USA
关键词
Computed tomography; Diagnostic imaging; Lymphoma; Lymph nodes; Oncology; COMPUTED-TOMOGRAPHY; DIAGNOSTIC-ACCURACY; INITIAL-EXPERIENCE; RESPONSE CRITERIA; MULTIDETECTOR CT; CELL CARCINOMA; RENAL LESIONS; CANCER; TUMORS; ANGIOGRAPHY;
D O I
10.1016/j.ejrad.2018.06.017
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To investigate the value of dual-energy computed tomography (DECT)-derived iodine and fat quantification in differentiating malignant abdominal lymphoma from lymph node metastasis. Materials and methods: In this retrospective study, 59 patients (39 men; mean age, 62.7 years) with histopathologically-confirmed diagnosis of either malignant lymphoma or lymph node metastasis were included. For each lesion, contrast-enhanced attenuation, as well as DECT-derived iodine density and fat fraction measurements were recorded. Mean attenuation and material density values were compared between malignant lymphomas and lymph node metastases. The receiver operating characteristic (ROC) curve analysis was adopted to estimate the optimal threshold for discriminating between both entities. A control group (n = 60) was analyzed for comparison of attenuation and material density values of normal abdominal lymph nodes. Results: Assessment of DECT-derived iodine density and fat fraction values revealed significant differences between lymph node metastases (1.7 +/- 0.4 mg/ml and 15.5 +/- 7.3%) and malignant lymphomas (2.5 +/- 0.5 mg/ml and 26.7 +/- 12.2%) as well as normal lymph nodes (2.4 +/- 0.8 mg/ml and 24.1 +/- 10.8%) (P < 0.013). An iodine concentration of 2.0 mg/ml represented the optimal threshold to discriminate between lymphoma and lymph node metastasis (sensitivity, 87%; specificity, 89%). Moreover, a significant correlation was found between iodine concentration and fat fraction for both lymphomas and lymph node metastases (P = 0.001). Conclusion: DECT enables characterization of abdominal masses as derived iodine and fat fraction values differ significantly between malignant abdominal lymphomas and lymph node metastases.
引用
收藏
页码:255 / 260
页数:6
相关论文
共 50 条
  • [21] Iodine quantification to distinguish hepatic neuroendocrine tumor metastasis from hepatocellular carcinoma at dual-source dual-energy liver CT
    Kaltenbach, Benjamin
    Wichmann, Julian L.
    Pfeifer, Sophia
    Albrecht, Moritz H.
    Booz, Christian
    Lenga, Lukas
    Hammerstingl, Renate
    Dangelo, Tommaso
    Vogl, Thomas J.
    Martin, Simon S.
    EUROPEAN JOURNAL OF RADIOLOGY, 2018, 105 : 20 - 24
  • [22] Dual-energy CT iodine quantification for characterizing focal thyroid lesions
    Lee, Do Hyung
    Lee, Young Hen
    Seo, Hyung Suk
    Lee, Ki Yeol
    Suh, Sang-il
    Ryoo, Inseon
    You, Sung-Hye
    Kim, Byungjun
    Yang, Kyung-Sook
    HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK, 2019, 41 (04): : 1024 - 1031
  • [23] Quantification of iodine concentration by dual-energy CT in patients with acute pancreatitis
    Utrera Perez, E.
    Tardaguila de la Fuente, G.
    Martinez Rodriguez, C.
    Villanueva Campos, A.
    Jurado Basildo, C.
    Garcia Pouton, N.
    RADIOLOGIA, 2020, 62 (05): : 360 - 364
  • [24] Feasibility of a CT-based lymph node radiomics nomogram in detecting lymph node metastasis in PDAC patients
    Li, Qian
    Song, Zuhua
    Zhang, Dan
    Li, Xiaojiao
    Liu, Qian
    Yu, Jiayi
    Li, Zongwen
    Zhang, Jiayan
    Ren, Xiaofang
    Wen, Youjia
    Tang, Zhuoyue
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [25] Dual-Energy CT-Based Iodine Quantification in Liver Tumors - Impact of Scan-, Patient-, and Position-Related Factors
    Schmidt, Cynthia
    Baessler, Bettina
    Nakhostin, Dominik
    Das, Arijit
    Eberhard, Matthias
    Alkadhi, Hatem
    Euler, Andre
    ACADEMIC RADIOLOGY, 2021, 28 (06) : 783 - 789
  • [26] Dual-Energy Computed Tomography in Detecting and Predicting Lymph Node Metastasis in Malignant Tumor Patients: A Comprehensive Review
    Chen, Mengting
    Jiang, Yundan
    Zhou, Xuhui
    Wu, Di
    Xie, Qiuxia
    DIAGNOSTICS, 2024, 14 (04)
  • [27] Detecting lymph node metastasis of esophageal cancer on dual-energy computed tomography
    Sun, Xuyang
    Niwa, Tetsu
    Ozawa, Soji
    Endo, Jun
    Hashimoto, Jun
    ACTA RADIOLOGICA, 2022, 63 (01) : 3 - 10
  • [28] A new prediction model for lateral cervical lymph node metastasis in patients with papillary thyroid carcinoma: Based on dual-energy CT
    Zou, Ying
    Sun, Shuangyan
    Liu, Qian
    Liu, Jihua
    Shi, Yan
    Sun, Fang
    Gong, Yan
    Lu, Xiudi
    Zhang, Xuening
    Xia, Shuang
    EUROPEAN JOURNAL OF RADIOLOGY, 2021, 145
  • [29] Dual-energy CT–based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer
    Jing Li
    Di Dong
    Mengjie Fang
    Rui Wang
    Jie Tian
    Hailiang Li
    Jianbo Gao
    European Radiology, 2020, 30 : 2324 - 2333
  • [30] Dual-energy CT-based Assessment of the Trabecular Bone in Vertebrae
    Wesarg, S.
    Kirschner, M.
    Becker, M.
    Erdt, M.
    Kafchitsas, K.
    Khan, M. F.
    METHODS OF INFORMATION IN MEDICINE, 2012, 51 (05) : 398 - 405