Publications by authors named "HongJu Yan"

Encapsulated papillary carcinoma (EPC) represents a distinct entity within the spectrum of breast papillary tumors, typically manifesting as a retroareolar mass. This rare subtype can be effectively visualized using ultrasound and magnetic resonance imaging, which reveal characteristic cystic-solid nodules. Histopathologically, EPC is defined by a papillary tumor structure with a well-defined fibrous capsule, devoid of myoepithelial cells both within and around the capsule.

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Background: It is challenging to correctly identify and diagnose breast nonmass lesions. This study aimed to explore the multimodal ultrasound features associated with malignant breast nonmass lesions (NMLs), and evaluate their combined diagnostic performance.

Methods: This retrospective analysis was conducted on 573 breast NMLs, including 309 were benign and 264 were malignant, their multimodal ultrasound features (B-mode, color Doppler and strain elastography) were assessed by two experienced radiologists.

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Background: Automated Breast Ultrasound (AB US) has shown good application value and prospects in breast disease screening and diagnosis. The aim of the study was to explore the ability of AB US to detect and diagnose mammographically Breast Imaging Reporting and Data System (BI-RADS) category 4 microcalcifications.

Methods: 575 pathologically confirmed mammographically BI-RADS category 4 microcalcifications from January 2017 to June 2021 were included.

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Purpose: To investigate the efficiency and impact factors of anatomical intelligence for breast (AI-Breast) and hand-held ultrasound (HHUS) in lesion detection.

Methods: A total of 172 outpatient women were randomly selected, underwent AI-Breast ultrasound (Group AI) once and HHUS twice. HHUS was performed by breast imaging radiologists (Group A) and general radiologists (Group B).

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Article Synopsis
  • Elastography ultrasound (EUS) is an important imaging method, but it faces challenges like subjective interpretation and hardware limitations that affect the miniaturization of equipment.
  • A new deep neural network has been developed to create virtual EUS (V-EUS) from traditional B-mode images, providing a cost-effective solution.
  • Analysis of 4580 breast tumor cases shows that V-EUS performs similarly to real EUS in identifying tumors, and it improves the diagnostic accuracy of portable ultrasound devices by approximately 5%.
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Purpose: To develop a risk stratification system that can predict axillary lymph node (LN) metastasis in invasive breast cancer based on the combination of shear wave elastography (SWE) and conventional ultrasound.

Materials And Methods: A total of 619 participants pathologically diagnosed with invasive breast cancer underwent breast ultrasound examinations were recruited from a multicenter of 17 hospitals in China from August 2016 to August 2017. Conventional ultrasound and SWE features were compared between positive and negative LN metastasis groups.

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Objective: The objective of this study was to evaluate the safety and efficacy of sirolimus (SRL) in the prevention of graft--host disease (GVHD) in recipients following allogeneic hematopoietic stem cell transplantation (allo-HSCT).

Methods: Randomized controlled trials (RCTs) evaluating the safety and efficacy of SRL-based prophylaxis regimens in patients receiving allo-HSCT were obtained from PubMed, Embase, and the Cochrane database. Following specific inclusion and exclusion criteria, studies were selected and screened by two independent reviewers who subsequently extracted the study data.

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Immune thrombocytopenia (ITP) is an autoimmune disease which arises due to self-destruction of circulating platelets. Failure to respond or maintain a response to first-line treatment can lead to refractory/relapsed (R/R) ITP. The mechanism remains complicated and lacks a standard clinical treatment.

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