Purpose: We aim to evaluate the performance of radiomic biopsy (RB), best-fit bounding box (BB), and a deep-learning-based segmentation method called no-new-U-Net (nnU-Net), compared to the standard full manual (FM) segmentation method for predicting benign and malignant lung nodules using a computed tomography (CT) radiomic machine learning model.
Materials And Methods: A total of 188 CT scans of lung nodules from 2 institutions were used for our study. One radiologist identified and delineated all 188 lung nodules, whereas a second radiologist segmented a subset () of these nodules.
Introduction: Ongoing recognition of breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) and its link with textured devices has brought a paradigm shift in prosthetic-based breast reconstruction. Many institutions no longer offer textured expansion devices for staged reconstruction. However, there is a paucity of data regarding the efficacy of smooth tissue expanders (TE).
View Article and Find Full Text PDFThe United States Food and Drug Administration (FDA) recently recognized the necessity for improved patient education and public awareness of breast implant-associated anaplastic large cell lymphoma (BIA-ALCL). BIA-ALCL is an uncommon T-cell lymphoma that can arise years after placement of a textured breast implant or tissue expander. Patients and providers would greatly benefit from a broader awareness of BIA-ALCL and how it presents with both common and rare symptoms.
View Article and Find Full Text PDFBackground: Risk for venous thromboembolism formation and the relationship to postoperative free flap venous congestion and flap failure have not been adequately evaluated in a trauma population. The authors aim to use the Caprini Risk Assessment Model to evaluate the association between venous thromboembolism risk and postoperative flap venous congestion following lower extremity free tissue transfer.
Methods: A retrospective analysis was conducted of all patients who underwent lower extremity free flap reconstruction of traumatic defects at a single institution between 2007 and 2016.