Introduction: Gender-affirmation surgery is essential in the management of gender dysphoria. For male-to-female transgender women (transwomen), feminization of the chest is a component in this process. There is minimal literature describing effective and safe techniques for breast augmentation in transwomen. Here we describe our operative techniques and considerations.
Methods: A retrospective review of a single surgeon experience was performed for transwomen who underwent primary breast augmentation between October 1, 2014, and February 1, 2017. Surgical outcomes and complications were analyzed.
Results: Thirty-four patients with an average age of 34.4 years were included in this series (range 19-59 years). Surgical approach was through an inframammary incision with a submuscular pocket and either silicone smooth round (24%) or textured anatomic implants (76%). Six patients experienced postoperative complications (17.6%). Two patients underwent reoperation for implant extrusion (5.9%). Higher BMI and longer preoperative hormonal therapy duration were significantly associated with complications ( = 0.008; = 0.039, respectively). Feedback from the respondents was overall positive. Most of patients (92.7%) reported being happier and feeling more satisfied with their chest than before their operation. All respondents (100%) reported improvement in their gender dysphoria and would undergo the operation again. Patient dissatisfaction was significantly associated with longer time on preoperative hormones ( = 0.008) and had a trend toward association with higher implant volume ( = 0.083).
Conclusions: Breast augmentation in transwomen is safe and typically leads to high patient satisfaction with improvement of gender dysphoria. Larger, longer term studies are needed to appropriately delineate complication risks and contributing factors.
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http://dx.doi.org/10.1016/j.jpra.2019.03.003 | DOI Listing |
Transl Cancer Res
December 2024
Department of Oncology, Jiangdu People's Hospital Affiliated to Yangzhou University, Yangzhou, China.
Dipeptidase 1 (DPEP1), initially identified as a renal membrane enzyme in mature human kidneys, plays a pivotal role in various cellular processes. It facilitates the exchange of materials and signal transduction across cell membranes, contributing significantly to dipeptide hydrolysis, glucose and lipid metabolism, immune inflammation, and ferroptosis, among other cellular functions. Extensive research has delineated the complex role of DPEP1 in oncogenesis and tumor progression, with its influence being context dependent.
View Article and Find Full Text PDFLife Sci Alliance
March 2025
https://ror.org/00hj54h04 Interdisciplinary Life Sciences Graduate Programs, The University of Texas at Austin, Austin, TX, USA
Breast cancer stem cells (CSCs) are difficult to therapeutically target, but continued efforts are critical given their contribution to tumor heterogeneity and treatment resistance in triple-negative breast cancer. CSC properties are influenced by metabolic stress, but specific mechanisms are lacking for effective drug intervention. Our previous work on TFEB suggested a key function in CSC metabolism.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2025
School of Engineering Medicine, Beihang University, Beijing 100191, PR China; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People's Republic of China, Beijing 100191, PR China; Beijing Engineering Research Center of Cardiovascular Wisdom Diagnosis and Treatment, Beijing 100029, PR China. Electronic address:
Background And Objective: Single-source domain generalization (SSDG) aims to generalize a deep learning (DL) model trained on one source dataset to multiple unseen datasets. This is important for the clinical applications of DL-based models to breast cancer screening, wherein a DL-based model is commonly developed in an institute and then tested in other institutes. One challenge of SSDG is to alleviate the domain shifts using only one domain dataset.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
January 2025
Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Martensstr. 3, 91058, Erlangen, Bayern, Germany.
Purpose: Breast cancer remains one of the most prevalent cancers globally, necessitating effective early screening and diagnosis. This study investigates the effectiveness and generalizability of our recently proposed data augmentation technique, attention-guided erasing (AGE), across various transfer learning classification tasks for breast abnormality classification in mammography.
Methods: AGE utilizes attention head visualizations from DINO self-supervised pretraining to weakly localize regions of interest (ROI) in images.
Vet Res Forum
November 2024
Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Docetaxel (DTX) is widely utilized in breast cancer treatment. However, cancer cell resistance has limited its anti-tumor efficacy. Some molecules called microRNAs (miRNAs), acting like fine-tuned switches, can influence how breast cancer develops and spreads.
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