大腿骨転子部骨折は早期手術を行うことが推奨されているが，休薬による待機を余儀なくされていることが多い．当院において抗血栓薬内服患者の早期手術の安全性についての検討を行った．2017年1月～2018年12月に当院で大腿骨転子部骨折に対して骨接合術を施行した197例のうち，年齢・術前待機日数・手術時間・術中出血量・輸血量・術前と術翌日と術後1週Hb値・死亡率の記載が確認できた157例を対象とし，抗血栓薬の内服群，内服休薬群，非内服群にわけて比較検討を行った．結果は術前待機日数と手術時間は休薬群が他の2群と比較し有意に延長したが，術中出血量・輸血量・術前から術後1週間のHb値推移は3群間で有意差を認めなかった．抗血栓薬は休薬せずに早期に手術を行うことが可能であると考えられる．

  Finding Juxta facet cyst is not rare in the era of magnetic resonance imaging (MRI) but little is known regarding cyst formation following lumbar laminectomy. Between 2010 and 2017, we performed lumbar laminectomy on 264 patients. Lumbar laminectomy was performed for either lumbar canal stenosis (n=221) or degenerative spondylolisthesis (n=43). Postoperative MR images were obtained from patients who developed recurrent lumbar pain or leg pain. Juxta facet cysts were diagnosed by MR images. The images demonstrated cyst formation adjacent to the facet joint with low signal intensity on T1-weighted images and high signal intensity on T2-weighted images. Nine patients (3.3%) were found to have developed juxta facet cysts after lumbar laminectomy. The incidence of cyst formation was higher in the patients with degenerative spondylolisthesis (n=4, 9.3%) than in patients with lumbar canal stenosis (n=5, 2.3%). All patients were managed conservatively by medication and/or nerve root block and eight out of nine patients showed resolution of recurrent pain in a few months. The cysts disappeared in four patients as seen in MR images. Juxta facet cyst development following lumbar laminectomy is likely due to facet joint degeneration. The facet joint is covered with ligamentum flavum and injury to the ligamentum during the surgical procedure may accelerate joint degeneration postoperatively.

In recent years, robots have become familiar with human society. Human beings are reading human attention from surrounding circumstances in daily life. However, a household robot that is currently popular is mostly what it is not possible. Humans have gained a lot of information by the visual information. Thus, by analyzing the human gaze movement, the robot is possible to estimate the human attention. If the robot obtain the attention, the robot would run the appropriate support action for human. Human attention is not only point of gaze. Therefore, method is needed for estimation of human attention map. In this paper, we focus on human gaze movement and estimate human's attention from the information. As a result, the proposed method brings about a result that changes according to human attention, and it can be used for estimation of human's attention.