1
|
Jain R, Khanna R, Verma A, Mishra SP, Meena RN, Khanna S, Khanna S. Evaluation of axillary lymph nodes in breast cancer patients with clinically negative axilla using contrast enhanced ultrasonography. World J Surg Oncol 2024; 22:211. [PMID: 39107826 PMCID: PMC11304762 DOI: 10.1186/s12957-024-03419-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 05/20/2024] [Indexed: 08/10/2024] Open
Abstract
Contrast enhanced ultrasonography enables dynamic evaluation of the microvasculature down to the capillaries when using high resolution ultrasound probes. It's application in the evaluation of axillary lymph nodes in breast cancer patients with clinically negative axilla has been studied in 42 patients. The results of pre operative CEUS evaluation was correlated with histopathology status of axillary nodes after the harvesting of nodes during modified radical mastectomy or sentinel node biopsy. Heterogeneous enhancement with micro bubbles of the axillary nodes was found to be the most distinguishing criteria for malignant nodes.
Collapse
Affiliation(s)
- Roshit Jain
- Department of General Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India.
| | - Rahul Khanna
- Department of General Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India.
| | - Ashish Verma
- Department of Radiodiagnosis, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India
| | - Shashi Prakash Mishra
- Department of General Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India
| | - Ram Niwas Meena
- Department of General Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India
| | - Seema Khanna
- Department of General Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India
| | - Siddharth Khanna
- Dept of Ophthalmology, Aligarh Muslim University, Aligarh, 202002, India
| |
Collapse
|
2
|
Priscilla MMD, Ji-Bin LMD, Flemming FP. Sentinel Lymph Node Identification Using Contrast Lymphosonography: A Systematic Review. ADVANCED ULTRASOUND IN DIAGNOSIS AND THERAPY 2023. [DOI: 10.37015/audt.2023.230001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023] Open
|
3
|
Niu Z, Gao Y, Xiao M, Mao F, Zhou Y, Zhu Q, Jiang Y. Contrast-enhanced lymphatic US can improve the preoperative diagnostic performance for sentinel lymph nodes in early breast cancer. Eur Radiol 2023; 33:1593-1602. [PMID: 36152038 PMCID: PMC9510155 DOI: 10.1007/s00330-022-09139-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 08/20/2022] [Accepted: 09/05/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVES To evaluate the preoperative diagnostic value of contrast-enhanced lymphatic ultrasound (CEUS) for the sentinel lymph node (SLN) status in early breast cancer. MATERIALS AND METHODS We prospectively recruited 102 consecutive patients with clinically node-negative early breast cancer from July 2021 to October 2021. All patients underwent conventional US and percutaneous CEUS examinations. The CEUS of SLNs were classified into four enhancement patterns: homogeneous (I), featured inhomogeneous (II), focal defect (III), and no enhancement (IV). The diagnostic performance of conventional US and CEUS for SLN metastasis was assessed by receiver operating characteristic (ROC) curves and decision curves. RESULTS A total of 78 women were enrolled in this study, including 55, 18, and 5 patients with negative axilla, 1-2, and ≥ 3 metastastic SLNs pathologically, respectively. The identification rate of SLNs by CEUS was 100%. Patterns I and II can select 91.7% (44/48) of patients with disease-free axilla, while patterns III and IV had higher percentages of metastasis (65.2%, p < 0.001 and 57.1%, p < 0.002, respectively). For the SLN metastatic burden, 100% (48/48) of patients with pattern I/II had ≤ 2 metastatic SLNs. Compared with conventional US, the CEUS enhancement patterns showed significant improvement in diagnosing metastatic SLNs (0.813 vs 0.601, p < 0.001). CEUS had greater clinical benefits and correctly reclassified 48% of metastatic SLNs (p < 0.001) without sacrificing the classification accuracy of negative SLNs (p = 0.25), and could improve prediction accuracy by 0.42 (p < 0.001). CONCLUSIONS CEUS demonstrated better diagnostic performance and greater clinical benefits than conventional US for the preoperative diagnosis of SLNs, showing its potential to select candidates for precluding axillary surgery in early breast cancer. KEY POINTS • The homogeneous and featured inhomogeneous enhancement of SLNs are highly suggestive of negative LNs, while focal defect (p < 0.001) and no enhancement (p < 0.002) patterns had higher percentages of metastasis. • The proportion of SLNs with highly suspicious signs on conventional US increases as the type of enhancement pattern increases (no suspicious signs in pattern I/II, 34.8% in pattern III, and 85.7% in pattern IV). • Compared with conventional US, CEUS improved the area under the receiver operating characteristic curve (0.813 vs. 0.601, p < 0.001) and had greater clinical benefits (IDI = 0.42, p < 0.001) for the diagnosis of axillary metastasis.
Collapse
Affiliation(s)
- Zihan Niu
- Department of Ultrasound, 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
| | - Yuanjing Gao
- Department of Ultrasound, 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
| | - Mengsu Xiao
- Department of Ultrasound, 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
| | - 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
| | - Qingli Zhu
- Department of Ultrasound, 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.
| | - Yuxin Jiang
- Department of Ultrasound, 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.
| |
Collapse
|
4
|
Sjöstrand S, Bacou M, Kaczmarek K, Evertsson M, Svensson IK, Thomson AJW, Farrington SM, Moug SJ, Jansson T, Moran CM, Mulvana H. Modelling of magnetic microbubbles to evaluate contrast enhanced magnetomotive ultrasound in lymph nodes - a pre-clinical study. Br J Radiol 2022; 95:20211128. [PMID: 35522781 PMCID: PMC10996324 DOI: 10.1259/bjr.20211128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 04/15/2022] [Accepted: 04/22/2022] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVES Despite advances in MRI the detection and characterisation of lymph nodes in rectal cancer remains complex, especially when assessing the response to neoadjuvant treatment. An alternative approach is functional imaging, previously shown to aid characterisation of cancer tissues. We report proof of concept of the novel technique Contrast-Enhanced Magneto-Motive Ultrasound (CE-MMUS) to recover information relating to local perfusion and lymphatic drainage, and interrogate tissue mechanical properties through magnetically induced deformations. METHODS The feasibility of the proposed application was explored using a combination of experimental animal and phantom ultrasound imaging, along with finite element analysis. First, contrast-enhanced ultrasound imaging on one wild type mouse recorded lymphatic drainage of magnetic microbubbles after bolus injection. Second, tissue phantoms were imaged using MMUS to illustrate the force- and elasticity dependence of the magnetomotion. Third, the magnetomechanical interactions of a magnetic microbubble with an elastic solid were simulated using finite element software. RESULTS Accumulation of magnetic microbubbles in the inguinal lymph node was verified using contrast enhanced ultrasound, with peak enhancement occurring 3.7 s post-injection. The magnetic microbubble gave rise to displacements depending on force, elasticity, and bubble radius, indicating an inverse relation between displacement and the latter two. CONCLUSION Combining magnetic microbubbles with MMUS could harness the advantages of both techniques, to provide perfusion information, robust lymph node delineation and characterisation based on mechanical properties. ADVANCES IN KNOWLEDGE (a) Lymphatic drainage of magnetic microbubbles visualised using contrast-enhanced ultrasound imaging and (b) magnetomechanical interactions between such bubbles and surrounding tissue could both contribute to (c) robust detection and characterisation of lymph nodes.
Collapse
Affiliation(s)
- Sandra Sjöstrand
- Department of Biomedical Engineering, Faculty of Engineering,
Lund University, Lund,
Sweden
| | - Marion Bacou
- Colorectal Cancer Genetics Group, Cancer Research UK Edinburgh
Centre, Institute of Genetics and Cancer, University of
Edinburgh, Edinburgh,
United Kingdom
| | - Katarzyna Kaczmarek
- Department of Biomedical Engineering, Faculty of Engineering,
University of Strathclyde, Glasgow,
United Kingdom
| | - Maria Evertsson
- Department of Clinical Sciences Lund, Lund
University, Lund,
Sweden
| | - Ingrid K Svensson
- Department of Biomedical Engineering, Faculty of Engineering,
Lund University, Lund,
Sweden
| | - Adrian JW Thomson
- Edinburgh Preclinical Imaging, Centre for Cardiovascular
Science, University of Edinburgh,
Edinburgh, United Kingdom
| | - Susan M Farrington
- Colorectal Cancer Genetics Group, Cancer Research UK Edinburgh
Centre, Institute of Genetics and Cancer, University of
Edinburgh, Edinburgh,
United Kingdom
| | - Susan J Moug
- Consultant General and Colorectal Surgeon, Royal Alexandra
Hospital, Paisley and Golden Jubilee National Hospital, Honorary
Professor, University of Glasgow,
Glasgow, United Kingdom
| | - Tomas Jansson
- Department of Clinical Sciences Lund, Lund
University, Lund, Sweden and Clinical
Engineering Skåne, Digitalisering IT/MT, Skåne Regional
Council, Lund, Sweden
| | | | - Helen Mulvana
- Department of Biomedical Engineering, Faculty of Engineering,
University of Strathclyde, Glasgow,
United Kingdom
| |
Collapse
|
5
|
Development of Preclinical Ultrasound Imaging Techniques to Identify and Image Sentinel Lymph Nodes in a Cancerous Animal Model. Cancers (Basel) 2022; 14:cancers14030561. [PMID: 35158829 PMCID: PMC8833694 DOI: 10.3390/cancers14030561] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 01/19/2022] [Indexed: 02/06/2023] Open
Abstract
Simple Summary Bowel cancer is the fourth most common cancer in the UK. Treatment is dominated by major surgery because current imaging modalities cannot accurately determine lymph node involvement or vascular invasion. Although potentially curative, surgery carries a high risk of short- and long-term morbidity, including stoma formation. Optimized pre-treatment imaging would decrease the number of bowel cancer patients requiring major surgery. Such imaging would also be equally applicable to other cancers where local resection could significantly improve patient quality of life without compromising long-term outcomes (e.g., melanoma, head and neck cancers, gastro-esophageal, bladder). In this study, we created two mouse models (tumor and control) and used the resolution of high-frequency ultrasound imaging and parameters calculated from dynamically contrast-enhanced ultrasound to predict the likelihood of draining lymph nodes to be involved in the disease. Abstract Lymph nodes (LNs) are believed to be the first organs targeted by colorectal cancer cells detached from a primary solid tumor because of their role in draining interstitial fluids. Better detection and assessment of these organs have the potential to help clinicians in stratification and designing optimal design of oncological treatments for each patient. Whilst highly valuable for the detection of primary tumors, CT and MRI remain limited for the characterization of LNs. B-mode ultrasound (US) and contrast-enhanced ultrasound (CEUS) can improve the detection of LNs and could provide critical complementary information to MRI and CT scans; however, the European Federation of Societies for Ultrasound in Medicine and Biology (EFSUMB) guidelines advise that further evidence is required before US or CEUS can be recommended for clinical use. Moreover, knowledge of the lymphatic system and LNs is relatively limited, especially in preclinical models. In this pilot study, we have created a mouse model of metastatic cancer and utilized 3D high-frequency ultrasound to assess the volume, shape, and absence of hilum, along with CEUS to assess the flow dynamics of tumor-free and tumor-bearing LNs in vivo. The aforementioned parameters were used to create a scoring system to predict the likelihood of a disease-involved LN before establishing post-mortem diagnosis with histopathology. Preliminary results suggest that a sum score of parameters may provide a more accurate diagnosis than the LN size, the single parameter currently used to predict the involvement of an LN in disease.
Collapse
|
6
|
Kurochkin MA, German SV, Abalymov A, Vorontsov DА, Gorin DA, Novoselova MV. Sentinel lymph node detection by combining nonradioactive techniques with contrast agents: State of the art and prospects. JOURNAL OF BIOPHOTONICS 2022; 15:e202100149. [PMID: 34514735 DOI: 10.1002/jbio.202100149] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 08/21/2021] [Accepted: 09/09/2021] [Indexed: 06/13/2023]
Abstract
The status of sentinel lymph nodes (SLNs) has a substantial prognostic value because these nodes are the first place where cancer cells accumulate along their spreading route. Routine SLN biopsy ("gold standard") involves peritumoral injections of radiopharmaceuticals, such as technetium-99m, which has obvious disadvantages. This review examines the methods used as "gold standard" analogs to diagnose SLNs. Nonradioactive preoperative and intraoperative methods of SLN detection are analyzed. Promising photonic tools for SLNs detection are reviewed, including NIR-I/NIR-II fluorescence imaging, photoswitching dyes for SLN detection, in vivo photoacoustic detection, imaging and biopsy of SLNs. Also are discussed methods of SLN detection by magnetic resonance imaging, ultrasonic imaging systems including as combined with photoacoustic imaging, and methods based on the magnetometer-aided detection of superparamagnetic nanoparticles. The advantages and disadvantages of nonradioactive SLN-detection methods are shown. The review concludes with prospects for the use of conservative diagnostic methods in combination with photonic tools.
Collapse
Affiliation(s)
| | - Sergey V German
- Skolkovo Institute of Science and Technology, Moscow, Russia
- Institute of Spectroscopy of the Russian Academy of Sciences, Moscow, Russia
| | | | - Dmitry А Vorontsov
- State Budgetary Institution of Health Care of Nizhny Novgorod "Nizhny Novgorod Regional Clinical Oncological Dispensary", Nizhny Novgorod, Russia
| | - Dmitry A Gorin
- Skolkovo Institute of Science and Technology, Moscow, Russia
| | | |
Collapse
|