Can computed tomography predict nodal metastasis in breast cancer patients?

被引:0
|
作者
Fakhry, Sherihan [1 ,2 ]
Rahman, Rasha Wessam Abdel [1 ,2 ]
Saied, Hend Mahmoud [2 ]
El-nasr, Safaa Ibrahim Saif [2 ]
机构
[1] Cairo Univ, Radiol Dept, Cairo, Egypt
[2] Baheya Ctr Early Detect & Treatment Breast Canc, Giza, Egypt
来源
关键词
Axillary lymph nodes; Ultrasound; Computed tomography; Breast cancer; AXILLARY LYMPH-NODES; FINE-NEEDLE-ASPIRATION; F-18-FDG PET/CT; ULTRASOUND; ELASTOGRAPHY; DISSECTION; BIOPSY;
D O I
10.1186/s43055-022-00819-8
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
Background: Axillary lymph node metastasis is considered one of the main prognostic factors clinically used for the evaluation of breast cancer patient. Also, an accurate diagnosis of axillary lymph node metastasis has a significant effect on the tumor staging and treatment planning. Ultrasonography is a noninvasive, available imaging modality that is capable of giving a real-time evaluation of axillary lymph nodes in breast cancer cases. On the other hand, multi-detector-row computed tomography is increasingly preferred by clinicians to preoperatively evaluate regional lymph node status in many cancers. The aim of this study was to compare the diagnostic performance of computed tomography against ultrasound in detecting axillary lymph node status in breast cancer patients. Results: One hundred and fifty breast cancer patients were included in this prospective study. According to the final pathological results, 79/150 (52.7%) lymph nodes were metastatic, while 71/150 (47.3%) lymph nodes were benign with no evidence of metastases. Ultrasound examination has achieved a sensitivity of 76.4% and a specificity of 60.8% with overall diagnostic accuracy of 68.7%. Computed tomography (CT) examination has achieved a much higher sensitivity of 98.6%, a much lower specificity of 35.4%, and overall diagnostic accuracy of 65.3%. In our study, CT examination was superior on ultrasound in the determination of the level of lymph node affection, and this may be attributed to the dependency of ultrasound examination on the operator's experience. Conclusions: CT is not routinely used in the assessment of nodal stage. However, if used in proper clinical setting, it may increase our confidence in excluding nodal metastasis owing to its high sensitivity. Despite its low specificity, it may act as road map for the surgeon, providing the ability to assess all groups of lymph nodes as well as the number of the suspicious lymph nodes.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] The Prediction of Nodal Metastasis By Computed Tomography in Candidates for Endoscopic Submucosal Dissection (ESD) of Early Gastric Cancer (EGC)
    Cho, Joo Young
    Park, Youn Sun
    Cho, Won Young
    Lee, Taehee
    Kim, Hyun Gun
    Kim, Wan Jung
    Kim, Jin-Oh
    Lee, Joon Seong
    Hong, Seong Sook
    Jin, So Young
    Kim, Young Dae
    Park, Chan Guk
    GASTROINTESTINAL ENDOSCOPY, 2009, 69 (05) : AB186 - AB186
  • [42] Integrating Tumor and Nodal Imaging Characteristics at Baseline and Mid-Treatment Computed Tomography Scans to Predict Distant Metastasis in Oropharyngeal Cancer Treated With Concurrent Chemoradiotherapy
    Wu, Jia
    Gensheimer, Micheal F.
    Zhang, Nasha
    Han, Fei
    Liang, Rachel
    Qian, Yushen
    Zhang, Carrie
    Fischbein, Nancy
    Pollom, Erqi L.
    Beadle, Beth
    Quynh-Thu Le
    Li, Ruijiang
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2019, 104 (04): : 942 - 952
  • [43] Can the size of chest wall recurrence after mastectomy in breast cancer patients predict the presence of systemic metastasis?
    Lim, Geok Hoon
    Wong, Rachel Lyn Ee
    Alcantara, Veronica Siton
    Ng, Ruey Pyng
    Tan, Qing Ting
    Lim, Swee Ho
    Yan, Zhiyan
    Pang, Jinnie
    GLAND SURGERY, 2023, 12 (05) : 586 - 592
  • [44] An Artificial Intelligence Algorithm to Predict Nodal Metastasis in Lung Cancer
    Churchill, Isabella F.
    Gatti, Anthony A.
    Hylton, Danielle A.
    Sullivan, Kerrie A.
    Patel, Yogita S.
    Leontiadis, Grigorious, I
    Farrokhyar, Forough
    Hanna, Wael C.
    ANNALS OF THORACIC SURGERY, 2022, 114 (01): : 248 - 256
  • [45] Mammaglobin, a potential marker of breast cancer nodal metastasis
    Leygue, E
    Snell, L
    Dotzlaw, H
    Hole, K
    Troup, S
    Hiller-Hitchcock, T
    Murphy, LC
    Watson, PH
    JOURNAL OF PATHOLOGY, 1999, 189 (01): : 28 - 33
  • [46] Predict factors of hepatocyte growth factor family and bone morphogenetic proteins for breast cancer nodal metastasis
    Cong, B. B.
    Cao, X. S.
    Jiang, W. G.
    Ye, L.
    BRITISH JOURNAL OF SURGERY, 2023, 110
  • [47] Cadherins as predictive markers of nodal metastasis in breast cancer
    Madhavan, M
    Srinivas, P
    Abraham, E
    Ahmed, I
    Mathew, A
    Vijayalekshmi, NR
    Balaram, P
    MODERN PATHOLOGY, 2001, 14 (05) : 423 - 427
  • [48] Axillary nodal metastasis of occult breast primary cancer
    Tamiolakis, D.
    Antoniou, Ch.
    CHIRURGIA, 2008, 103 (04) : 467 - 471
  • [49] Risk factor assessment to predict the likelihood of a diagnosis of metastasis for indeterminate hepatic lesions found at computed tomography in patients with rectal cancer
    Kang, K. A.
    Jang, K. M.
    Kim, S. H.
    Kang, T. W.
    Cha, D. I.
    CLINICAL RADIOLOGY, 2017, 72 (06) : 473 - 481
  • [50] Predictive Value of Preoperative Multidetector-Row Computed Tomography for Axillary Lymph Nodes Metastasis in Patients With Breast Cancer
    Chen, Chun-Fa
    Zhang, Yu-Ling
    Cai, Ze-Long
    Sun, Shu-Ming
    Lu, Xiao-Feng
    Lin, Hao-Yu
    Liang, Wei-Quan
    Yuan, Ming-Heng
    Zeng, De
    FRONTIERS IN ONCOLOGY, 2019, 8