Clinical practice guidelines for ultrasound-guided breast lesions and lymph nodes biopsy: Chinese society of breast surgery (CSBrS) practice guidelines 2021

Ma, Jinfei; Chen, Luyan; Wu, Shuang-Ling; Xu, Yingying; Yao, Fan; Jin, Feng; Fu, Peifen; Chen, Bo

doi:10.1097/cm9.0000000000001549

Cited by 2 publications

(2 citation statements)

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“…In the conventional US group, the two-dimensional gray-scale images were evaluated according to the BI-RADS lexicon, in which certain sonographic characteristics were suspicious for malignancy: irregular shape and edge, nonparallel expansion and growth, signal attenuation posteriorly, and microcalcifications. In the scoring system, lesions with one of the above characteristics were classified as 4a; lesions with two characteristics were classified as 4b, and lesions with ≥3 features were classified as 4c ( 10 – 12 ). Scores of ≤4a were considered benign and scores of ≥4b were considered malignant.…”

Section: Methodsmentioning

confidence: 99%

Evaluating breast ultrasound S-detect image analysis for small focal breast lesions

et al. 2022

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BackgroundS-Detect is a computer-assisted, artificial intelligence-based system of image analysis that has been integrated into the software of ultrasound (US) equipment and has the capacity to independently differentiate between benign and malignant focal breast lesions. Since the revision and upgrade in both the breast imaging-reporting and data system (BI-RADS) US lexicon and the S-Detect software in 2013, evidence that supports improved accuracy and specificity of radiologists’ assessment of breast lesions has accumulated. However, such assessment using S-Detect technology to distinguish malignant from breast lesions with a diameter no greater than 2 cm requires further investigation.MethodsThe US images of focal breast lesions from 295 patients in our hospital from January 2019 to June 2022 were collected. The BI-RADS data were evaluated by the embedded program and as manually modified prior to the determination of a pathological diagnosis. The receiver operator characteristic (ROC) curves were constructed to compare the diagnostic accuracy between the assessments of the conventional US images, the S-Detect classification, and the combination of the two.ResultsThere were 326 lesions identified in 295 patients, of which pathological confirmation demonstrated that 239 were benign and 87 were malignant. The sensitivity, specificity, and accuracy of the conventional imaging group were 75.86%, 93.31%, and 88.65%. The sensitivity, specificity, and accuracy of the S-Detect classification group were 87.36%, 88.28%, and 88.04%, respectively. The assessment of the amended combination of S-Detect with US image analysis (Co-Detect group) was improved with a sensitivity, specificity, and accuracy of 90.80%, 94.56%, and 93.56%, respectively. The diagnostic accuracy of the conventional US group, the S-Detect group, and the Co-Detect group using area under curves was 0.85, 0.88 and 0.93, respectively. The Co-Detect group had a better diagnostic efficiency compared with the conventional US group (Z = 3.882, p = 0.0001) and the S-Detect group (Z = 3.861, p = 0.0001). There was no significant difference in distinguishing benign from malignant small breast lesions when comparing conventional US and S-Detect techniques.ConclusionsThe addition of S-Detect technology to conventional US imaging provided a novel and feasible method to differentiate benign from malignant small breast nodules.

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Section: Methodsmentioning

confidence: 99%

Evaluating breast ultrasound S-detect image analysis for small focal breast lesions

et al. 2022

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“…Regional LN: suggested by imaging with abnormal histomorphology and (or) structure, and suspected of being metastatic (level of evidence: I; recommendation strength: A) ( 48 ).…”

Section: Recommendationsmentioning

confidence: 99%

Chinese Society of Breast Surgery (CSBrS) Practice Guideline 2022

Xiang¹,

Liu²

2023

Transl Breast Cancer Res

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Background: The Chinese Society of Breast Surgery (CSBrS) Practice Guideline 2021 was published nearly one year ago. The new guideline was revised based on comprehensive feedback of the previous publication. The aim is to provide a better reference suitable for Chinese breast surgeons.Methods: Referred to GRADE (Grading of Recommendations Assessment, Development and Evaluation) system, evidences accepted by the Guideline were classified into four categories: I, II, III and IV, which reflected the reliability of the evidences quantitatively. The guideline also comprehensively considered the accessibility of the guideline in clinical practice in China and gave recommendations with different strengths. Results:The guideline emphasized the basic idea that a curative surgical approach falls under the category of radical tumor surgery. Six chapters, including "Diagnosis and treatment of patients with invasive breast cancer", "Sentinel lymph node biopsy in patients with early-stage breast cancer", "Breast-conserving surgery in patients with early-stage breast cancer", "Modified radical mastectomy of breast cancer", "Central venous access for the systemic treatment of breast cancer", and "Breast cancer in pregnancy and postpartum breast cancer" were revised.Conclusions: Compared with the 2021 edition, the new guideline has been revised in six chapters based on the latest research evidence and clinical needs.

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Clinical practice guidelines for ultrasound-guided breast lesions and lymph nodes biopsy: Chinese society of breast surgery (CSBrS) practice guidelines 2021

Cited by 2 publications

References 20 publications

Evaluating breast ultrasound S-detect image analysis for small focal breast lesions

Evaluating breast ultrasound S-detect image analysis for small focal breast lesions

Chinese Society of Breast Surgery (CSBrS) Practice Guideline 2022

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