Intraosseous lipoma is the rarest primary bone tumor, is usually asymptomatic, and is often discovered incidentally during unrelated investigations. Lipomas usually undergo varying degrees of involution, with necrosis, cyst formation, and calcification. Careful radiological-pathological correlation is required to avoid misinterpretation. This study describes 12 intraosseous lipomas in 11 patients (6 men, 5 women; mean age, 36 years [range, 25-50 years]; mean follow-up, 5 years [range, 2-11 years]). The lesions were located in the calcaneus in 7 patients (bilaterally in 1 patient), the tibia in 2, the femur in 1, and the ilium in 1. All lesions were asymptomatic and discovered incidentally except in 4 patients (5 lesions). Curettage and bone grafting were performed after biopsy in 4 lesions; and in 1 patient, curettage, bone grafting, and reconstructive surgery were performed after pathologic fracture. The remaining 7 patients were followed up conservatively. Although definite diagnosis of an intraosseous lesion is possible only by histopathologic examination, computed tomography and magnetic resonance imaging findings of intraosseous lipoma are typical, and most patients' symptoms are relieved by conservative means. For this reason, we believe that in patients with no signs of an impending pathologic fracture or suspicion of malignancy, clinical and radiological follow-up is sufficient. However, since intraosseous lipoma is an uncommon bone tumor, physicians should be familiar with the radiological features of this lesion for the correct diagnosis.
Today most of the twin pregnancies with complete mole are identified in the first or second trimester. In this case, the parents who choose continuation of pregnancy, are counseled about the increased risk of complications like preeclampsia, fetal loss, persistent gestational trophoblastic disease. Close surveillance of the woman with CMCF is mandatory during and after the pregnancy.
A simple, inexpensive technique for fixation of proximal opening-wedge osteotomy of the first metatarsal for correction of moderate or severe hallux valgus (HV) is described. After the opening-wedge osteotomy and bone grafting of the first metatarsal have been performed, 2 Kirschner wires are introduced for internal fixation and removed 8 weeks postoperatively. Twenty-three patients with symptomatic HV who had a proximal medial opening-wedge osteotomy of the first metatarsal in combination with a distal soft tissue procedure and bunionectomy were evaluated retrospectively. All osteotomies healed without complications and satisfaction was achieved in 22 patients. Hallux varus developed in 1 patient. Preoperatively, mean HV angle (HVA) was 41° (range, 35°-61°) and mean 1-2 intermetatarsal angle (IMA) was 19° (range, 16°-24°). Postoperatively, mean HVA was 14° (range, 10°-17°) and mean 1-2 IMA was 7° (range, 5°-9°). The mean decrease in the HVA was 27° (P<.001) and the mean decrease in the 1-2 IMA was 12° (P<.001). [Orthopedics. 2016; 39(6):e1213-e1217.].
Sosyal medya ortamlarında, kullanıcılar yaşadıkları olaylar ile ilgili edindikleri tecrübeleri paylaşmaktadır. Kişiler başlarından geçen bir olayı, yeni gördükleri bir şehri, okudukları kitabı vb. paylaşarak aynı belirli konular hakkında diğer kişilere deneyimlerini aktarmaktadır. Sosyal medya kullanan bireylerin konuştuğu konulardan biri de sağlık problemleri ve bu konudaki deneyimlerin paylaşılmasıdır. Sağlık problemi yaşayan bazı bireyler, geçirdikleri hastalıkları, gördüğü tedavileri ve sonuçlarını, her bir evresinde kazandıkları tecrübeleri sosyal ortamlarda yazarak paylaşmaktadır. Bu paylaşımlar gerek bilgilendirici gerekse hastalıkla mücadelede moral/motivasyon için diğer hastalar açısından önem arz etmektedir. Paylaşım sayısının fazla olması, hastalıkların çeşitliği ve veri miktarının büyüklüğü nedeniyle insan tarafından manuel olarak yorumlanması imkânsız hale gelmektedir. Bu çalışmada, Reddit sosyal platformu üzerinden, kanser hastalığı ile ilgili paylaşımlar toplanarak bu veriler üzerinde çalışılmıştır. Bu paylaşımlar üzerinden yapay zekâ tabanlı konu modelleme algoritmalarından “Gizli Dirichlet Ayrımı (GDA)” algoritması ile konuşulan başlıca konu başlıkları bulunmuştur. Konu başlıklarının konuşulan konu ile ilişkisi incelenmiş ve içerik analizi yapılmıştır. Kanser hastalığı ile ilgili paylaşımlar içerisinde en fazla konuşulan içeriklerin belirlenmesi hedeflenmiştir. Ayrıca t-SNE tekniği kullanılarak konuların birbiri arasındaki ilişkisi incelenmiştir. GDA algoritması ile modelleme sonucunda elde edilen konu başlıklarında bulunan kelimelerin yapılan tutarlılık testinde uyumlu olduğu görülmüştür.
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