Single color digital H&E staining with In-and-Out Net.

Virtual staining streamlines traditional staining procedures by digitally generating stained images from unstained or differently stained images. While conventional staining methods involve time-consuming chemical processes, virtual staining offers an efficient and low infrastructure alternative. Leveraging microscopy-based techniques, such as confocal microscopy, researchers can expedite tissue analysis without the need for physical sectioning.

Undergarment Needs and Challenges for Breast Cancer Survivors: A Qualitative Study.

Purpose: Breast cancer surgery, even with reconstruction, can make it difficult for patients to find a bra that fits properly, is comfortable, and meets their aesthetic standards. We explored breast cancer survivors' experiences with bras over time to identify preferences, needs, and challenges throughout their journeys.

Methods: Fifteen women who had undergone mastectomy and either delayed or immediate breast reconstruction participated in the study.

Impact of autologous breast reconstruction on bra fit.

Purpose: To inform bra design by analyzing 3D surface images of breast cancer patients who underwent autologous breast reconstruction.

Methods: We computed bra design measurements on 3D surface images of patients who underwent unilateral and bilateral autologous breast reconstruction. Breast measurements and right-left symmetry between preoperative baseline and postoperative time points were compared using either paired Student t-test or Wilcoxon signed-rank test, depending on the data's distribution.

Machine Learning of Physiologic Waveforms and Electronic Health Record Data: A Large Perioperative Data Set of High-Fidelity Physiologic Waveforms.

Perioperative morbidity and mortality are significantly associated with both static and dynamic perioperative factors. The studies investigating static perioperative factors have been reported; however, there are a limited number of previous studies and data sets analyzing dynamic perioperative factors, including physiologic waveforms, despite its clinical importance. To fill the gap, the authors introduce a novel large size perioperative data set: Machine Learning Of physiologic waveforms and electronic health Record Data (MLORD) data set.

Impact of Autologous Breast Reconstruction on Bra Fit.

Purpose: To inform bra design by analyzing 3D surface images of breast cancer patients who underwent autologous breast reconstruction.

Methods: We computed bra design measurements on 3D surface images of patients who underwent unilateral and bilateral autologous breast reconstruction. Breast measurements and right-left symmetry between preoperative baseline and postoperative time points were compared using either paired Student test or Wilcoxon signed rank test, depending on the data's distribution.

A cognitive behavioral therapy-based intervention to address body image in patients with facial cancers: Results from a randomized controlled trial.

Objectives: Body image adjustment is a crucial issue for patients with facial cancer, but body image-specific interventions are scarce. We report results of a novel psychotherapeutic intervention to address body image concerns during acute postoperative recovery following facial reconstructive surgery. Our primary aims were to evaluate the intervention's feasibility, acceptability, and efficacy on body image concerns, psychological distress, and quality of life (QOL).

Objective Analysis of Breast Symmetry in Female Patients Undergoing Breast Reconstruction After Total Mastectomy.

Background: Satisfaction with the breast aesthetic outcome is an expectation of breast reconstruction surgery, which is an integral part of cancer treatment for many patients. We evaluated postreconstruction breast symmetry in 82 female patients using distance and volume measurements.

Objectives: Clinical factors, such as reconstruction type (implant-based and autologous reconstruction), laterality, timing of reconstruction (immediate, delayed, and sequential), radiation therapy (RT), and demographic factors (age, BMI, race, and ethnicity), were evaluated as predictors of postoperative symmetry.

Impact of implant-based breast reconstruction on bra fit.

Comfortable and well-fitting bras are necessary for good quality of life but hard to find for women who undergo reconstruction after breast cancer treatment. This study aimed to provide data to inform bra designs for breast cancer survivors. We measured anatomical distances used in bra design on 3D clinical photographs of patients who underwent unilateral and bilateral implant-based reconstruction to quantify changes after reconstruction relative to the measured values before the person underwent surgery.

Breast Decisions: Recommender System for Appearance Counseling about Breast Reconstruction.

Unlabelled: Appearance counseling is an important component of the consent process for breast reconstruction. The purpose of appearance counseling is to help the patient form realistic expectations of what she might look like after breast reconstruction. In this article, we introduce a recommender system, "BreastDecisions," for appearance counseling that suggests photographs of previous patients that are tailored to a specific patient to help her form realistic expectations of her own reconstruction.

BMEntored: Enhancing the First-Year Experience in a BME Doctoral Program.

We describe our experiences with the first offering of a new program, BMEntored, for supporting first-year doctoral students in Biomedical Engineering (BME) during their first semester. The goal of BMEntored was to enhance the first-semester experience of first-year doctoral students in BME with an emphasis on guiding students in selecting a research supervisor and promoting cross-cohort, cross-lab social connections.

What Does "Dr. Google" Show Patients Searching for Breast Reconstruction Outcomes Photographs?

Unlabelled: Many women with breast cancer search the internet for photographs of their potential reconstruction outcomes, but little is known about the quality, variety, and relevance of images patients are viewing.

Methods: Breast reconstruction outcome photographs identified by a Google Images search were assessed based on the American Society of Plastic Surgeons/Plastic Surgery Foundation photographic guidelines. Information such as source metadata, breast reconstruction procedure information, and subject demographics was collected from the photographs.

The role of psychosocial factors in patients' recollections of breast reconstruction options discussed with their surgeons.

A patient's comprehension and memory of conversations with their providers plays an important role in their healthcare. Adult breast cancer patients whose legal sex was female and who underwent treatment at the Center for Reconstructive Surgery at The University of Texas MD Anderson Cancer Center were asked to indicate which breast reconstruction procedures they discussed with their surgeon. We focused on the three most frequent responses: (a) participants who remembered discussing implant-based, tissue-based, and combination procedures; (b) participants who remembered only an implant-based option being discussed; and (c) participants who remember only a tissue-based option being discussed.

Healthcare Fraud Data Mining Methods: A Look Back and Look Ahead.

Healthcare fraud is an expensive, white-collar crime in the United States, and it is not a victimless crime. Costs associated with fraud are passed on to the population in the form of increased premiums or serious harm to beneficiaries. There is an intense need for digital healthcare fraud detection systems to evolve in combating this societal threat.

On the Three-Dimensional Mechanical Behavior of Human Breast Tissue.

As the human breast undergoes complex, large-scale, fully three dimensional deformations in vivo, three-dimensional (3D) characterization of its mechanical behavior is fundamental to its diagnosis, treatment, and surgical modifications. Its anisotropic, heterogeneous fibrous structure results in complex behavior at both the tissue and organ levels. Mathematically modeling of this complex anisotropic behavior is thus critical to the proper simulation of the human breast.

Potential of Intraoperative 3D Photography and 3D Visualization in Breast Reconstruction.

Unlabelled: Although pre- and postoperative three-dimensional (3D) photography are well-established in breast reconstruction, intraoperative 3D photography is not. We demonstrate the process of intraoperative acquisition and visualization of 3D photographs for breast reconstruction and present clinicians' opinions about intraoperative visualization tools.

Methods: Mastectomy specimens were scanned with a handheld 3D scanner during breast surgery.

Imaging sub-diffuse optical properties of cancerous and normal skin tissue using machine learning-aided spatial frequency domain imaging.

Significance: Sub-diffuse optical properties may serve as useful cancer biomarkers, and wide-field heatmaps of these properties could aid physicians in identifying cancerous tissue. Sub-diffuse spatial frequency domain imaging (sd-SFDI) can reveal such wide-field maps, but the current time cost of experimentally validated methods for rendering these heatmaps precludes this technology from potential real-time applications.

Aim: Our study renders heatmaps of sub-diffuse optical properties from experimental sd-SFDI images in real time and reports these properties for cancerous and normal skin tissue subtypes.

Review of Quantitative Imaging for Objective Assessment of Fat Grafting Outcomes in Breast Surgery.

This article presents a comprehensive review of the use of quantitative measurements based on breast images to assess fat retention, breast aesthetics, and fat necrosis after autologous fat grafting. Breast volume measured from MRI and 3-dimensional surface images is widely used as a measure of fat retention. Breast aesthetics are assessed from a combination of anthropometric (distance and contour) measurements on breast surface images.

Toward automated assessment of mole similarity on dermoscopic images.

Current skin cancer detection relies on dermatologists' visual assessments of moles directly or dermoscopically. Our goal is to show that our similarity assessment algorithm on dermoscopic images can perform as well as a dermatologist's assessment. Given one target mole and two other moles from the same patient, our model determines which mole is more similar to the target mole.