Decompressive hemicraniectomy for malignant middle cerebral artery infarction including patients with additional involvement of the anterior and/or posterior cerebral artery territory—outcome analysis and definition of prognostic factors

2017 ◽  
Vol 160 (1) ◽  
pp. 83-89 ◽  
Author(s):  
Sven Kürten ◽  
Christopher Munoz ◽  
Kerim Beseoglu ◽  
Igor Fischer ◽  
Jason Perrin ◽  
...  
2013 ◽  
Vol 20 (1) ◽  
pp. 91-97 ◽  
Author(s):  
Christian Ewald ◽  
Pedro Duenisch ◽  
Jan Walter ◽  
Theresa Götz ◽  
Otto W. Witte ◽  
...  

2019 ◽  
Vol 17 (3) ◽  
pp. 273-276 ◽  
Author(s):  
Kristopher A Lyon ◽  
Nitesh P Patel ◽  
Yilu Zhang ◽  
Jason H Huang ◽  
Dongxia Feng

Abstract BACKGROUND AND IMPORTANCE Decompressive hemicraniectomy (DH) is the mainstay of treatment for malignant middle cerebral artery infarction (MMI). Although this operation significantly reduces mortality and improves functional outcomes, the conventional technique involves a reverse question mark incision starting anterior to the tragus that can injure the scalp's major blood supply, the superficial temporal artery (STA), which increases the risk of postoperative complications. CLINICAL PRESENTATION We developed a modified DH technique to reduce surgical morbidity associated with injury to the STA, accommodate a large bone window for effective decompression, and improve operative speed. After performing hospital chart review, a total of 34 patients were found who underwent this DH technique for MMI. Of these, 22 patients had this performed for right-sided MMI and 12 patients had this performed for left-sided MMI. CONCLUSION In each case, our approach preserved the STA and thereby minimized the risk for ischemic necrosis of the scalp flap. Since our technique avoids dissection of the preauricular temporalis muscle, we believe operative times can be decreased while still accommodating a large bone window to allow for effective decompression of the infarcted brain parenchyma.


The Surgeon ◽  
2015 ◽  
Vol 13 (4) ◽  
pp. 230-240 ◽  
Author(s):  
Ming-Hao Yang ◽  
Hong-Yu Lin ◽  
Jun Fu ◽  
Gopaul Roodrajeetsing ◽  
Sheng-Liang Shi ◽  
...  

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