Quantitative Histogram Analysis of T2-Weighted and Diffusion-Weighted Magnetic Resonance Images for Prediction of Malignant Thymic Epithelial Tumors

被引:5
作者
Morikawa, Kazuhiko [1 ]
Igarashi, Takao [1 ]
Shiraishi, Megumi [1 ]
Kano, Rui [1 ]
Misumi, Shigeki [1 ]
Ojiri, Hiroya [1 ]
Asano, Hisatoshi [2 ]
机构
[1] Jikei Univ, Dept Radiol, Sch Med, Tokyo, Japan
[2] Jikei Univ, Dept Surg, Sch Med, Tokyo, Japan
关键词
thymic epithelial tumors; T2-weighted magnetic resonance images; apparent diffusion coefficient; quantitative histogram analysis; WORLD-HEALTH-ORGANIZATION; HISTOLOGIC CLASSIFICATION; TEXTURE ANALYSIS; STAGING SYSTEM; THYMOMAS; CT; FEATURES; SUBTYPES;
D O I
10.1097/RCT.0000000000001197
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 assess the value of histogram analysis for differentiating a high-risk thymic epithelial tumor (TET) from a low-risk TET using T2-weighted images and the apparent diffusion coefficient (ADC). Methods Forty-nine patients with histopathologically proven TET after thymectomy were enrolled in this study and retrospectively classified as having low-risk TET (low-risk thymoma) or high-risk TET (high-risk thymoma or thymic carcinoma). Twelve parameters were obtained from the quantitative histogram analysis. The histogram parameters were compared using the Mann-Whitney U test. Diagnostic efficacy was estimated by receiver-operating characteristic curve analysis. Results Twenty-five patients were classified as having low-risk TET and 24 as having high-risk TET. The mean ADC value showed diagnostic efficacy for differentiating high-risk TET from low-risk TET, with an area under the curve of 0.7, and was better than when using conventional methods alone. Conclusion The ADC-based histogram analysis could help to differentiate between high-risk and low-risk TETs.
引用
收藏
页码:795 / 801
页数:7
相关论文
共 50 条
[31]   Combined T2-Weighted and Diffusion-Weighted MRI for Diagnosis of Urinary Bladder Invasion in Patients with Prostate Carcinoma [J].
Ren, Jing ;
Huan, Yi ;
Li, Fang ;
Wang, He ;
Ge, YaLi ;
Chang, YingJuan ;
Yin, Hong ;
Sun, LiJun .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2009, 30 (02) :351-356
[32]   Diffusion-weighted magnetic resonance imaging predicts malignant potential in small hepatocellular carcinoma [J].
Okamura, Shusuke ;
Sumie, Shuji ;
Tonan, Tatsuyuki ;
Nakano, Masahito ;
Satani, Manabu ;
Shimose, Shigeo ;
Shirono, Tomotake ;
Iwamoto, Hideki ;
Aino, Hajime ;
Niizeki, Takashi ;
Tajiri, Nobuyoshi ;
Kuromatsu, Ryoko ;
Okuda, Koji ;
Nakashima, Osamu ;
Torimura, Takuji .
DIGESTIVE AND LIVER DISEASE, 2016, 48 (08) :945-952
[33]   Diffusion-weighted magnetic resonance imaging to differentiate malignant from benign gallbladder disorders [J].
Kitazume, Yoshio ;
Taura, Shin-ichi ;
Nakaminato, Shuichiro ;
Noguchi, Osamu ;
Masaki, Yukiyoshi ;
Kasahara, Ichiro ;
Kishino, Mitsuhiro ;
Tateishi, Ukihide .
EUROPEAN JOURNAL OF RADIOLOGY, 2016, 85 (04) :864-873
[34]   Quantitative diffusion-weighted magnetic resonance imaging for prediction of early infection in pancreatic collections: Results of a pilot study [J].
Sureka, Binit ;
Rai, Balwant ;
Varshney, Vaibhav ;
Nag, Vijaya L. ;
Garg, Mahendra K. ;
Garg, Pawan K. ;
Yadav, Taruna ;
Khera, Pushpinder S. ;
Goel, Akhil .
SAUDI JOURNAL OF GASTROENTEROLOGY, 2020, 26 (01) :20-25
[35]   Epithelial salivary gland tumors: Utility of radiomics analysis based on diffusion-weighted imaging for differentiation of benign from malignant tumors [J].
Shao, Shuo ;
Mao, Ning ;
Liu, Wenjuan ;
Cui, Jingjing ;
Xue, Xiaoli ;
Cheng, Jingfeng ;
Zheng, Ning ;
Wang, Bin .
JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2020, 28 (04) :799-808
[36]   Diagnostic utility of diffusion-weighted magnetic resonance imaging in two common renal tumors [J].
Wen, Zhaoxia ;
Sun, Zhenchao ;
Wang, Yuxing .
ONCOLOGY LETTERS, 2015, 10 (04) :2565-2568
[37]   Histogram Analysis of T1-Weighted, T2-Weighted, and Postcontrast T1-Weighted Images in Primary CNS Lymphoma: Correlations with Histopathological Findings-a Preliminary Study [J].
Meyer, Hans-Jonas ;
Schob, Stefan ;
Muench, Benno ;
Frydrychowicz, Clara ;
Garnov, Nikita ;
Quaeschling, Ulf ;
Hoffmann, Karl-Titus ;
Surov, Alexey .
MOLECULAR IMAGING AND BIOLOGY, 2018, 20 (02) :318-323
[38]   Lymphoma Lesions Detection from Whole Body Diffusion-Weighted Magnetic Resonance Images [J].
Ferjaoui, Radhia ;
Cherni, Mohamed Ali ;
Kraiem, Nour El Houda ;
Kraiem, Tarek .
2018 5TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT), 2018, :364-369
[39]   Diffusion-Weighted Magnetic Resonance Imaging Improves the Accuracy of Differentiation of Benign from Malignant Peripheral Nerve Sheath Tumors [J].
Koike, Hiroshi ;
Nishida, Yoshihiro ;
Ito, Shinji ;
Shimoyama, Yoshie ;
Ikuta, Kunihiro ;
Urakawa, Hiroshi ;
Sakai, Tomohisa ;
Shimizu, Koki ;
Ito, Kan ;
Imagama, Shiro .
WORLD NEUROSURGERY, 2022, 157 :E207-E214
[40]   Intervertebral disc classification by its degree of degeneration from T2-weighted magnetic resonance images [J].
Castro-Mateos, Isaac ;
Hua, Rui ;
Pozo, Jose M. ;
Lazary, Aron ;
Frangi, Alejandro F. .
EUROPEAN SPINE JOURNAL, 2016, 25 (09) :2721-2727