Automatic detection of midfacial fractures in facial bone CT images using deep learning-based object detection models.

Background: Midfacial fractures are among the most frequent facial fractures. Surgery is recommended within 2 weeks of injury, but this time frame is often extended because the fracture is missed on diagnostic imaging in the busy emergency medicine setting. Using deep learning technology, which has progressed markedly in various fields, we attempted to develop a system for the automatic detection of midfacial fractures.

Automatic orbital segmentation using deep learning-based 2D U-net and accuracy evaluation: A retrospective study.

The purpose of this study was to verify whether the accuracy of automatic segmentation (AS) of computed tomography (CT) images of fractured orbits using deep learning (DL) is sufficient for clinical application. In the surgery of orbital fractures, many methods have been reported to create a 3D anatomical model for use as a reference. However, because the orbit bone is thin and complex, creating a segmentation model for 3D printing is complicated and time-consuming.

Successful resection of growing teratoma syndrome in the abdominal wall with reconstruction using tensor fascia lata muscle flap: A case report and literature review.

While cancer cure is the primary goal, fertility preservation is also a cornerstone of the underlying principle of treatment for ovarian germ cell tumors. Growing teratoma syndrome (GTS) presents with growth of mature teratomas during or after chemotherapy. We report a case of successful treatment of GTS in the anterior abdominal wall involving reconstruction.

Deep-learning-based automatic facial bone segmentation using a two-dimensional U-Net.

The use of deep learning (DL) in medical imaging is becoming increasingly widespread. Although DL has been used previously for the segmentation of facial bones in computed tomography (CT) images, there are few reports of segmentation involving multiple areas. In this study, a U-Net was used to investigate the automatic segmentation of facial bones into eight areas, with the aim of facilitating virtual surgical planning (VSP) and computer-aided design and manufacturing (CAD/CAM) in maxillofacial surgery.

Localization of Chronic Pain in Postmastectomy Patients: A Prospective Comparison Between Patients With and Without Breast Reconstruction.

Background: After breast surgery with or without immediate reconstruction, chronic pain can be a major problem for patients. However, few studies have examined the details of the sites of long-lasting postoperative pain. In this study, we specified the postoperative pain location after breast surgery, including reconstruction, to find ways to improve surgical procedures or provide effective pain relief.