Benign-Malign Differentiation of Axillary Lymph Nodes: The Role Of Superb Microvascular Imaging
NCT ID: NCT05927727
Last Updated: 2023-07-03
Study Results
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Basic Information
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COMPLETED
NA
102 participants
INTERVENTIONAL
2021-04-01
2023-05-30
Brief Summary
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Detailed Description
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Patients who were male, under the age of 18, underwent axillary lymph node dissection, had active infection in the axillary region, were diagnosed with histopathologically confirmed axillary lymph node metastasis, had received known chemotherapy or radiotherapy to the axillary region, or did not sign the informed consent form were excluded from the study. Patients who had their pathology results unavailable or who later decided not to participate in the study were also excluded.
Ultrasonographic Evaluation Suspicious axillary lymph nodes in the patients included in the study were evaluated with Toshiba Aplio a (Toshiba Medical Systems Corporation, Tokyo, Japan) ultrasound (US) device and 14-18 MHz high frequency linear probe. Gray scale US, PDUS and SMI images of the lymph nodes were stored. PRF and gain settings were adjusted to prevent from artifacts and to obtain the highest amount of signal while images were taken. In both Doppler methods, these parameters remained unchanged. The routine examination time for each patient extended 1-2 minutes by the SMI evaluation. At the end of the evaluation, a histological assessment using a 21G fine needle aspiration (FNA) biopsy or core biopsy (16-18G) from the relevant lymph nodes, or follow-up with US was performed, depending on the clinical suspicion. Any lymph nodes that regressed or disappeared throughout the US follow-up period of 1-3 months were considered benign. The lymph nodes that remained stable or progressed were evaluated through histopathological sampling. In case of non-diagnostic biopsy, patients were recalled and FNA/core biopsy was repeated. Cytology and pathology specimens were evaluated by a pathologist with at least 10 years of experience. Before the histopathological diagnosis, all patients were prospectively evaluated with ultrasonography by a radiologist blinded to the patient's clinic and history, and images were taken. After the pathology results, PDUS and SMI images were re-evaluated and the findings were compared with each other and pathology results. Finally, two radiologists with 22 years and 4 years of experience evaluated the images in terms of separately determined features without knowing the patient's clinical information and pathology result. The results were compared with each other in order to assess interobserver agreement.
Both PDUS and SMI assessed vascular patterns based on the number of internal vessels, the distribution (avascular/central/peripheral/mixed) and appearance (normal, dysplasic, avascular) of internal vessels. On SMI, both monochrome (mSMI) and color (cSMI) images were assessed. If there was diffuse cortical thickening of the lymph node, the entire cortex was included the images. Likewise if there was an asymmetric cortical thickening, images focused on that part.
Cortical flow signals were taken into account while internal vascularity was quantified. The lymph nodes with no vascular signals in the cortex were classified as avascular, the nodes with peripheral vascular signals as peripheral, the nodes with vascular signals extending from the hilus to the cortex as central, and the nodes with vascular signals in both the periphery and the central as mixed. To evaluate the morphology of the vessels, the signals with smooth, symmetrical hilar extension were considered as normal, the eccentric signals were identified as diplasic, and the lymph nodes without a signal were regarded as avascular.
Statistical Analysis In the study, mean and standard deviation were used for continuous variables, while frequency and percentage values were used when specifying categorical variables. The Kolmogorov-Smirnov and Shapiro Wilk test was used to evaluate the homogeneity of the patient distribution. Student t-test and Mann Whitney U test were used for continuous variables. Chi-square test or Fisher's exact chi-square test was used to evaluate categorical features In order to evaluate the diagnostic performance of each investigated feature of Doppler methods in the differentiation of benign and malignant lymph nodes, the area under the curve (AUC) was calculated separately by receiver operating characteristic (ROC) analysis, depending on whether they were used individually or together. Logistic regression analysis was used to determine the significance value when the features were used together. In addition, sensitivity, specificity, positive predictive value(PPV), negative predictive value (NPV) and accuracy of each method were evaluated.
The Kohen Kappa test was used for categorical features in both SMI and PDUS to assess interobserver agreement. Intragroup correlation coefficient test was used to compare vascular numbers. Chi-square test or Fisher's exact chi-square test was used to evaluate vascular properties between benign and malignant categories after consensus.
All statistical analyses was performed with SPSS version 25.0 (IBM Corp. Armonk, NY: USA. Released 2017). P value \<0.05 was considered statistically significant.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
DIAGNOSTIC
SINGLE
Study Groups
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Malign Group
The group includes patients who have malignant axillary lymph nodes which are proven by biopsy
Ultrasound and biyopsy
Each participant has undergone to ultrasound and biopsy procedure if they have suspicious lymph node in axillar region
Benign Group
The group includes patients who have benign axillary lymph nodes which are proven either by biopsy or follow-up
Ultrasound and biyopsy
Each participant has undergone to ultrasound and biopsy procedure if they have suspicious lymph node in axillar region
Interventions
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Ultrasound and biyopsy
Each participant has undergone to ultrasound and biopsy procedure if they have suspicious lymph node in axillar region
Eligibility Criteria
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Inclusion Criteria
* Female gender,
* Sign the informed consent form,
* No history of axillary lymph node metastasis histopathologically,
* No history of received chemotherapy or radiotherapy to the axillary region before,
* No history of axillary lymph node dissection
* No active infection in the axillary region.
Exclusion Criteria
* Under the age of 18,
* No history of histopathologically confirmed axillary lymph node metastasis,
* No history of chemotherapy or radiotherapy to the axillary region,
* Refuse to sign informed consent form
* Unavailable pathological result
18 Years
74 Years
FEMALE
Yes
Sponsors
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Ankara Education and Research Hospital
OTHER_GOV
Responsible Party
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Oguzhan Tokur
Principal Investigator
Principal Investigators
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Pelin Seher Oztekin, Assoc. Prof.
Role: STUDY_DIRECTOR
Ankara Education and Research Hospital
Locations
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Ankara Education and Research Hospital
Ankara, , Turkey (Türkiye)
Countries
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References
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Kurt SA, Eryurekli AE, Kayadibi Y, Samanci C, Velidedeoglu M, Onur I, Arslan S, Taskin F. Diagnostic Performance of Superb Microvascular Imaging in Differentiating Benign and Malignant Axillary Lymph Nodes. Ultrasound Q. 2023 Jun 1;39(2):74-80. doi: 10.1097/RUQ.0000000000000617.
Uslu H, Tosun M. The benefit of superb microvascular imaging and shear wave elastography in differentiating metastatic axillary lymphadenopathy from lymphadenitis. Clin Breast Cancer. 2022 Aug;22(6):515-520. doi: 10.1016/j.clbc.2022.03.008. Epub 2022 May 6.
Zhu AQ, Li XL, An LW, Guo LH, Fu HJ, Sun LP, Xu HX. Predicting Axillary Lymph Node Metastasis in Patients With Breast Invasive Ductal Carcinoma With Negative Axillary Ultrasound Results Using Conventional Ultrasound and Contrast-Enhanced Ultrasound. J Ultrasound Med. 2020 Oct;39(10):2059-2070. doi: 10.1002/jum.15314. Epub 2020 May 5.
Bian J, Zhang J, Hou X. Diagnostic accuracy of ultrasound shear wave elastography combined with superb microvascular imaging for breast tumors: A protocol for systematic review and meta-analysis. Medicine (Baltimore). 2021 Jun 25;100(25):e26262. doi: 10.1097/MD.0000000000026262.
Kijima Y, Yoshinaka H, Hirata M, Mizoguchi T, Ishigami S, Nakajo A, Arima H, Ueno S, Natsugoe S. Number of Axillary Lymph Node Metastases Determined by Preoperative Ultrasound is Related to Prognosis in Patients with Breast Cancer. Cancers (Basel). 2010 Feb 4;2(1):20-31. doi: 10.3390/cancers2010020.
Yang WT, Chang J, Metreweli C. Patients with breast cancer: differences in color Doppler flow and gray-scale US features of benign and malignant axillary lymph nodes. Radiology. 2000 May;215(2):568-73. doi: 10.1148/radiology.215.2.r00ap20568.
Fu Z, Zhang J, Lu Y, Wang S, Mo X, He Y, Wang C, Chen H. Clinical Applications of Superb Microvascular Imaging in the Superficial Tissues and Organs: A Systematic Review. Acad Radiol. 2021 May;28(5):694-703. doi: 10.1016/j.acra.2020.03.032. Epub 2020 May 5.
Ryoo I, Suh S, You SH, Seol HY. Usefulness of Microvascular Ultrasonography in Differentiating Metastatic Lymphadenopathy from Tuberculous Lymphadenitis. Ultrasound Med Biol. 2016 Sep;42(9):2189-95. doi: 10.1016/j.ultrasmedbio.2016.05.012. Epub 2016 Jun 25.
Esen G, Gurses B, Yilmaz MH, Ilvan S, Ulus S, Celik V, Farahmand M, Calay OO. Gray scale and power Doppler US in the preoperative evaluation of axillary metastases in breast cancer patients with no palpable lymph nodes. Eur Radiol. 2005 Jun;15(6):1215-23. doi: 10.1007/s00330-004-2605-9. Epub 2005 Feb 3.
Ying M, Ahuja A, Brook F. Accuracy of sonographic vascular features in differentiating different causes of cervical lymphadenopathy. Ultrasound Med Biol. 2004 Apr;30(4):441-7. doi: 10.1016/j.ultrasmedbio.2003.12.009.
Sim JK, Lee JY, Hong HS. Differentiation Between Malignant and Benign Lymph Nodes: Role of Superb Microvascular Imaging in the Evaluation of Cervical Lymph Nodes. J Ultrasound Med. 2019 Nov;38(11):3025-3036. doi: 10.1002/jum.15010. Epub 2019 Apr 3.
Other Identifiers
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Oguzhan Tokur
Identifier Type: -
Identifier Source: org_study_id
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