1
|
Zhang J, Zhou TT, Yang M, Zhang B, Liu J. Combining Contrast-Enhanced Ultrasound with Methylene Blue for Detection of Sentinel Lymph Nodes in Early Breast Cancer. Br J Hosp Med (Lond) 2025; 86:1-14. [PMID: 39998150 DOI: 10.12968/hmed.2024.0607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/26/2025]
Abstract
Aims/Background Sentinel lymph nodes (SLNs) are an important prognostic factor for breast cancer patients, but traditional axillary lymph node dissection methods have many complications, while sentinel lymph node biopsy has been developed as a better method. This study aimed to evaluate the efficiency of combining contrast-enhanced ultrasound (CEUS) with methylene blue for identifying SLNs in early-stage breast cancer patients. Methods This retrospective study included clinical data from 163 female patients with lymph node-negative and T1-2 early breast cancer admitted to China-Japan Friendship Hospital between August 2022 and November 2023. All patients received a periareolar injection of SonoVue followed by ultrasonography to identify SLNs. The methylene blue was used to detect SLNs during the surgery, and the patients underwent sentinel lymph node biopsy. We compared the methylene blue method with combined CEUS and methylene blue to identify the number of SLNs per patient. Furthermore, these two methods were compared to determine the number of SLNs and the number of SLNs positive in 34 SLNs positive patients. Results This study included 163 patients with tumor (T)1-2 node (N)0-3 metastasis (M)0. The identification rate of SLNs was 100% for CEUS. We detected 376 SLNs using a combined CEUS and methylene blue method, with a median of 2 (1, 5). Furthermore, methylene blue identified 627 SLNs, with a median of 3 (1, 12). However, CEUS detected a significantly lower number of SLNs than those identified by methylene blue (p < 0.001). Additionally, metastasis frequency was substantially higher for the combined CEUS and methylene blue method (66.3%, 53/80) compared to methylene blue approach alone (39.5%, 58/147) (p < 0.001). Conclusion Combining CEUS with methylene blue is expected to improve the accuracy of axillary staging in breast cancer patients while reducing surgical trauma and postoperative complications.
Collapse
Affiliation(s)
- Jie Zhang
- Department of Breast and Thyroid Surgery, China-Japan Friendship Hospital, Beijing, China
| | - Tong-Tong Zhou
- Department of Ultrasonography, China-Japan Friendship Hospital, Beijing, China
| | - Meng Yang
- Department of Breast and Thyroid Surgery, China-Japan Friendship Hospital, Beijing, China
| | - Bo Zhang
- Department of Ultrasonography, China-Japan Friendship Hospital, Beijing, China
| | - Jun Liu
- Department of Breast and Thyroid Surgery, China-Japan Friendship Hospital, Beijing, China
| |
Collapse
|
2
|
Niu Z, Hao Y, Gao Y, Zhang J, Xiao M, Mao F, Zhou Y, Cui L, Jiang Y, Zhu Q. Predicting three or more metastatic nodes using contrast-enhanced lymphatic US findings in early breast cancer. Insights Imaging 2024; 15:86. [PMID: 38523209 PMCID: PMC10961298 DOI: 10.1186/s13244-024-01648-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 02/13/2024] [Indexed: 03/26/2024] Open
Abstract
OBJECTIVES To develop and validate a nomogram for predicting ≥ 3 metastatic axillary lymph nodes (ALNs) in early breast cancer with no palpable axillary adenopathy by clinicopathologic data, contrast-enhanced (CE) lymphatic ultrasound (US), and grayscale findings of sentinel lymph nodes (SLNs). MATERIALS AND METHODS Women with T1-2N0 invasive breast cancer were consecutively recruited for the CE lymphatic US. Patients from Center 1 were grouped into development and internal validation cohorts at a ratio of 2:1. The external validation cohort was constructed from Center 2. The clinicopathologic data and US findings of SLNs were analyzed. A nomogram was developed to predict women with ≥ 3 metastatic ALNs. Nomogram performance was assessed with the area under the receiver operating characteristic curve (AUC) and calibration curve analysis. RESULTS One hundred seventy-nine from Center 1 were considered the development cohorts. The remaining 90 participants from Center 1 were internal cohorts and 197 participants from Center 2 were external validation cohorts. The US findings of no enhancement (odds ratio (OR), 15.3; p = 0.01), diffuse (OR, 19.1; p = 0.01) or focal eccentric (OR, 27.7; p = 0.003) cortical thickening, and absent hilum (OR, 169.7; p < 0.001) were independently associated with ≥ 3 metastatic ALNs. Compared to grayscale US or CE lymphatic US alone, the nomogram showed the highest AUC of 0.88 (0.85, 0.91). The nomogram showed a calibration slope of 1.0 (p = 0.80-0.81; Brier = 0.066-0.067) in validation cohorts in predicting ≥ 3 metastatic ALNs. CONCLUSION Patients likely to have ≥ 3 metastatic ALNs were identified by combining the lymphatic and grayscale US findings of SLNs. Our nomogram could aid in multidisciplinary treatment decision-making. TRIAL REGISTRATION This trial is registered on www.chictr.org.cn : ChiCTR2000031231. Registered March 25, 2020. CRITICAL RELEVANCE STATEMENT A nomogram combining lymphatic CEUS and grayscale US findings of SLNs could identify early breast cancer patients with low or high axillary tumor burden preoperatively, which is more applicable to the Z0011 era. Our nomogram could be useful in aiding multidisciplinary treatment decision-making for patients with early breast cancer. KEY POINTS • CEUS can help identify and diagnose SLN in early breast cancer preoperatively. • Combining lymphatic and grayscale US findings can predict axillary tumor burden. • The nomogram showed a high diagnostic value in validation cohorts.
Collapse
Affiliation(s)
- Zihan Niu
- Department of Ultrasound, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Yunxia Hao
- Department of Ultrasound, Peking University Third Hospital, Haidian District, 49 North Garden Road, Beijing, 100191, People's Republic of China
| | - Yuanjing Gao
- Department of Ultrasound, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Jing Zhang
- Department of Ultrasound, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Mengsu Xiao
- Department of Ultrasound, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Feng Mao
- Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730, People's Republic of China
| | - Yidong Zhou
- Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730, People's Republic of China
| | - Ligang Cui
- Department of Ultrasound, Peking University Third Hospital, Haidian District, 49 North Garden Road, Beijing, 100191, People's Republic of China
| | - Yuxin Jiang
- Department of Ultrasound, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Qingli Zhu
- Department of Ultrasound, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China.
| |
Collapse
|
3
|
Chen X, Ma J, Fu Y, Mei F, Tang R, Xue H, Lin Y, Wang S, Cui L. Differential diagnosis of cervical lymphadenopathy: Integration of postvascular phase of contrast-enhanced ultrasound and predictive nomogram model. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2024; 50:107981. [PMID: 38290245 DOI: 10.1016/j.ejso.2024.107981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 01/09/2024] [Accepted: 01/22/2024] [Indexed: 02/01/2024]
Abstract
BACKGROUND Distinguishing benign from malignant cervical lymph nodes is critical yet challenging. This study evaluates the postvascular phase of contrast-enhanced ultrasound (CEUS) and develops a user-friendly nomogram integrating demographic, conventional ultrasound, and CEUS features for accurate differentiation. METHODS We retrospectively analyzed 395 cervical lymph nodes from 395 patients between January 2020 and December 2022. The cohort was divided into training and validation sets using stratified random sampling. A predictive model, based on demographic, ultrasound, and CEUS features, was created and internally validated. RESULTS The training set included 280 patients (130 benign, 150 malignant nodes) and the validation set 115 patients (46 benign, 69 malignant). Relative hypoenhancement in the postvascular phase emerged as a promising indicator for MLN, with sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 96.7 %,52.3 %, 70.0 %, 93.2 %, and 76.1 %, respectively in the training set and 95.7 %, 52.2 %, 75.0 %, 88.9 %, and 74.8 % in the validation set. Age over 50 years, history of malignancy, short-axis diameter greater than 1.00 cm, focal hyperechogenicity, ill-defined borders, and centripetal perfusion were also identified as independent MLN indicators. The nomogram prediction model showed outstanding accuracy, with an area under the curve (AUC) of 0.922 (95 % CI: 0.892-0.953) in the training set and 0.914 (95 % CI: 0.864-0.963) in the validation set. CONCLUSION Relative hypoenhancement in the postvascular phase of CEUS, combined with demographics and ultrasound features, is effective for identifying MLNs. The developed prediction model, with a user-friendly nomogram, can facilitate clinical decision-making.
Collapse
Affiliation(s)
- Xiangmei Chen
- Department of Ultrasound, Peking University Shenzhen Hospital, Shenzhen, 518036, China
| | - Jiuyi Ma
- Department of Ultrasound, Peking University Third Hospital, Beijing, 100191, China
| | - Ying Fu
- Department of Ultrasound, Peking University Third Hospital, Beijing, 100191, China
| | - Fang Mei
- Department of Pathology, Peking University Third Hospital, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Rui Tang
- Department of Ultrasound, Peking University Third Hospital, Beijing, 100191, China
| | - Heng Xue
- Department of Ultrasound, Peking University Third Hospital, Beijing, 100191, China
| | - Yuxuan Lin
- Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
| | - Shumin Wang
- Department of Ultrasound, Peking University Third Hospital, Beijing, 100191, China
| | - Ligang Cui
- Department of Ultrasound, Peking University Third Hospital, Beijing, 100191, China.
| |
Collapse
|
4
|
Liu X, Wang M, Wang Q, Zhang H. Diagnostic value of contrast-enhanced ultrasound for sentinel lymph node metastasis in breast cancer: an updated meta-analysis. Breast Cancer Res Treat 2023; 202:221-231. [PMID: 37500963 DOI: 10.1007/s10549-023-07063-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 07/16/2023] [Indexed: 07/29/2023]
Abstract
PURPOSE The status of sentinel lymph nodes (SLN) is an important factor in determining the stage of breast cancer (BC) and the surgical procedure, and also a biomarker of the BC prognosis. This meta-analysis was performed to investigate the diagnostic value of contrast-enhanced ultrasound (CEUS) for SLN metastasis. METHODS A systematic search was conducted for relevant articles published in the PubMed, Embase, Web of Science, OVID databases, and Cochrane Library from inception to March 2023. We calculated the sensitivity, specificity, positive and negative likelihood ratio (PLR; NLR), diagnostic odds ratio (DOR), and summary receiver operator characteristic (SROC) curve to evaluate the diagnostic efficacy of CEUS in SLN metastasis. Subgroup analysis was also performed to investigate potential sources of heterogeneity. RESULTS A total of 12 studies with 1525 patients were included in this meta-analysis. The overall pooled sensitivity and specificity of CEUS in the diagnosis of SLN metastasis were 0.91 (95% CI: 0.84-0.95) and 0.86 (95% CI: 0.78-0.92). The PLR, NLR, and DOR were 6.51 (95% CI: 4.09-10.36), 0.11 (95% CI: 0.07-0.18), and 59.43 (95% CI: 33.27-106.17), respectively, and the area under the SROC curve was determined to be 0.95 (95%CI: 0.92-0.96), all showing excellent diagnostic value. In the subgroup analysis, percutaneous CEUS was more sensitive than intravenous CEUS in the diagnosis of SLN metastases (0.92 versus 0.82, p < 0.05). CONCLUSION CEUS, especially percutaneous CEUS, is a reliable imaging technique for diagnosing SLN metastasis and providing important information in the stage management of breast cancer.
Collapse
Affiliation(s)
- Xiao Liu
- Department of Ultrasound, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jing 5 Rd, Jinan, Shandong, 250021, People's Republic of China
| | - Meihuan Wang
- Department of Ultrasound, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jing 5 Rd, Jinan, Shandong, 250021, People's Republic of China
| | - Qian Wang
- Department of Ultrasound, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jing 5 Rd, Jinan, Shandong, 250021, People's Republic of China.
| | - Huawei Zhang
- Department of Ultrasound, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jing 5 Rd, Jinan, Shandong, 250021, People's Republic of China.
| |
Collapse
|
5
|
Zhang Q, Liang X, Zhang Y, Nie H, Chen Z. A review of contrast-enhanced ultrasound using SonoVue® and Sonazoid™ in non-hepatic organs. Eur J Radiol 2023; 167:111060. [PMID: 37657380 DOI: 10.1016/j.ejrad.2023.111060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 08/08/2023] [Accepted: 08/21/2023] [Indexed: 09/03/2023]
Abstract
Contrast-enhanced ultrasound (CEUS) is a dependable modality for the diagnosis of various clinical conditions. A judicious selection of ultrasound contrast agent (UCA) is imperative for optimizing imaging and improving diagnosis. Approved UCAs for imaging the majority of organs include SonoVue, a pure blood agent, and Sonazoid, which exhibits an additional Kupffer phase. Despite the fact that the two UCAs are increasingly being employed, there is a lack of comparative reviews between the two agents in different organs diseases. This review represents the first attempt to compare the two UCAs in non-hepatic organs, primarily including breast, thyroid, pancreas, and spleen diseases. Through comparative analysis, this review provides a comprehensive and objective evaluation of the performance characteristics of SonoVue and Sonazoid, with the aim of offering valuable guidance for the clinical application of CEUS. Overall, further clinical evidences are required to compare and contrast the dissimilarities between the two UCAs in non-hepatic organs, enabling clinicians to make an appropriate selection based on actual clinical applications.
Collapse
Affiliation(s)
- Qing Zhang
- Institution of Medical Imaging, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China; Institution of Medical Imaging, University of South China, Hengyang, China; The Seventh Affiliated Hospital, Hengyang Medical School, University of South China, Changsha, China
| | - Xiaowen Liang
- Institution of Medical Imaging, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China; Institution of Medical Imaging, University of South China, Hengyang, China
| | - Yanfen Zhang
- Department of Ultrasound, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
| | - Hongjun Nie
- Department of Ultrasound, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
| | - Zhiyi Chen
- Institution of Medical Imaging, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China; Institution of Medical Imaging, University of South China, Hengyang, China.
| |
Collapse
|
6
|
Li P, Sun D. Advanced diagnostic imaging of sentinel lymph node in early stage breast cancer. JOURNAL OF CLINICAL ULTRASOUND : JCU 2022; 50:415-421. [PMID: 35092313 PMCID: PMC9303781 DOI: 10.1002/jcu.23151] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 01/07/2022] [Accepted: 01/08/2022] [Indexed: 06/14/2023]
Abstract
Sentinel lymph node biopsy has been regarded as the standard procedure for early staging breast cancer. One of the key steps is to locate the sentinel lymph node (SLN). The recommended method is the joint use of blue dye and radioisotope. However, due to radionuclide radiation and high cost, it is urgent to develop more convenient and sensitive imaging methods to accurately locate SLN. This article discusses the advancement of accurately locating SLN by isotope tracer imaging, magnetic tracer method, computed tomographic lymphography, and trans-lymphatic contrast-enhanced ultrasound, as well as proposing new propose for clinical diagnosis.
Collapse
Affiliation(s)
- Ping Li
- Weifang Medical UniversityWeifangShandongChina
- Department of UltrasonographyPeking University Shenzhen HospitalShenzhenGuangdongChina
| | - Desheng Sun
- Department of UltrasonographyPeking University Shenzhen HospitalShenzhenGuangdongChina
| |
Collapse
|