Breast radiotherapy during childhood may cause unpredictable outcomes in soft tissue growth and may be responsible for most iatrogenic-related breast hypoplasias. Poor local skin quality and subcutaneous atrophy poses a difficult problem for the use of alloplastic tissues. Clinical use of a deep inferior epigastric perforator flap (DIEP) in oncological breast surgery is a common practice; however few studies have described its application in benign situations and no previous report addressed this subject. The authors indicate the use of the DIEP flap to correct severe hypomastia after previous childhood radiotherapy for hemangioma treatment, followed by unsuccessful alloplastic tissue reconstruction. For selected patients the DIEP flap may constitute a new alternative for complications of radiotherapy treatment due to the possibility of large tissue transfer with minimal donor area morbidity. The quantity of flap tissue necessary to restore the breast mound, the perforator vessel size, and the quality of suitable recipient vessels should be carefully evaluated. However, the need for microsurgical training as well as the extended surgical time are the main limiting factors for the use of this flap.
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http://dx.doi.org/10.1111/j.1524-4741.2006.00367.x | DOI Listing |
Cureus
December 2024
Cardiology, Lower Bucks Hospital, Bristol, USA.
Inferior vena cava (IVC) anomalies are rare congenital pathologies related to variations of agenesis, hypoplasia, or atresia, predisposing patients to thromboembolic events secondary to an alteration in venous drainage with resultant stasis. This is a case report of a 27-year-old male without significant medical history presenting for a fall after playing recreational basketball with associated pain and swelling in his left lower extremity. After his symptoms progressively worsened, he came to the emergency room for an evaluation where an ultrasound (US) of the extremity showed extensive deep vein thromboses (DVT).
View Article and Find Full Text PDFLangenbecks Arch Surg
January 2025
Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Purpose: Assessment of tissue perfusion using near-infrared fluorescence (NIR) with indocyanine green (ICG) is gaining popularity, however reliable and objective interpretation remains a challenge. Therefore, this study aimed to establish reference curves for vital tissue perfusion across target tissues using this imaging modality.
Methods: Data from five prospective study cohorts conducted in three Dutch academic medical centres between December 2018 and June 2023 was included.
JBJS Essent Surg Tech
January 2025
Shoulder and Elbow Service, Florida Orthopaedic Institute, Tampa, Florida.
Background: The incidence of revision shoulder arthroplasty continues to rise, and infection is a common indication for revision surgery. Treatment of periprosthetic joint infection (PJI) in the shoulder remains a controversial topic, with the literature reporting varying methodologies, including the use of debridement and implant retention, single-stage and 2-stage surgeries, antibiotic spacers, and resection arthroplasty. Single-stage revision has been shown to have a low rate of recurrent infection, making it more favorable because it precludes the morbidity of a 2-stage operation.
View Article and Find Full Text PDFJBJS Essent Surg Tech
January 2025
Department of Orthopaedic Surgery, Montefiore Medical Center, Bronx, New York.
Background: The pelvis is one of the most common areas for metastatic bone disease. We recently described the use of a minimally invasive percutaneous screw fixation of metastatic non-periacetabular pelvic lesions, with excellent results.
Description: The procedure can be completed in a standard operating theater without the need for special instruments.
Sensors (Basel)
December 2024
College of Electrical Engineering, Sichuan University, Chengdu 610065, China.
Remote photo-plethysmography (rPPG) is a useful camera-based health motioning method that can measure the heart rhythm from facial videos. Many well-established deep learning models can provide highly accurate and robust results in measuring heart rate (HR) and heart rate variability (HRV). However, these methods are unable to effectively eliminate illumination variation and motion artifact disturbances, and their substantial computational resource requirements significantly limit their applicability in real-world scenarios.
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