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171 Surgery: skeletal muscle mass, arterial calcification and laryngectomy REFERENCES 1. van der Putten L, de Bree R, Kuik DJ, et al. Salvage laryngectomy: Oncologi - cal and functional outcome. Oral Oncol . 2011;47(4):296-301. doi:10.1016/j.oralon - cology.2011.02.002 2. Theunissen EAR, Timmermans AJ, Zuur CL, et al. Total Laryngectomy for a Dysfunction - al Larynx After (Chemo)Radiotherapy. Arch Otolaryngol Neck Surg . 2012;138(6):548. doi:10.1001/archoto.2012.862 3. Paydarfar JA, Birkmeyer NJ. Complications in Head and Neck Surgery. Arch Otolaryngol Neck Surg . 2006;132(1):67. doi:10.1001/ar - chotol.132.1.67 4. Goepfert RP, Hutcheson KA, Lewin JS, et al. Complications, hospital length of stay, and readmission after total laryn - gectomy. Cancer . 2017;123(10):1760-1767. doi:10.1002/cncr.30483 5. Hasan Z, Dwivedi RC, Gunaratne DA, Virk SA, Palme CE, Riffat F. Systematic review and meta-analysis of the complications of salvage total laryngectomy. Eur J Surg Oncol . 2017;43(1):42-51. doi:10.1016/j. ejso.2016.05.017 6. Timmermans AJ, Lansaat L, Theunissen EAR, Hamming-Vrieze O, Hilgers FJM, van den Brekel MWM. Predictive Fac - tors for Pharyngocutaneous Fistuliza - tion After Total Laryngectomy. Ann Otol Rhinol Laryngol . 2014;123(3):153-161. doi:10.1177/0003489414522972 7. Lansaat L, van der Noort V, Bernard SE, et al. Predictive factors for pharyngocu - taneous fistulization after total laryn - gectomy: a Dutch Head and Neck Society audit. Eur Arch Oto-Rhino-Laryngology . 2018;275(3):783-794. doi:10.1007/s00405- 017-4861-8 8. Bril SI, Pezier TF, Tijink BM, Janssen LM, Braunius WW, de Bree R. Preoperative low skeletal muscle mass as a risk factor for pharyngocutaneous fistula and decreased overall survival in patients undergoing total laryngectomy. Head Neck . 2019;41(6):1745- 1755. doi:10.1002/hed.25638 9. Achim V, Bash J, Mowery A, et al. Prog - nostic indication of sarcopenia for wound complication after total laryngectomy. In: JAMA Otolaryngology - Head and Neck Surgery . Vol 143. American Medical Associ - ation; 2017:1159-1165. doi:10.1001/jamao - to.2017.0547 10. Thawani R, McLane M, Beig N, et al. Radio - mics and radiogenomics in lung cancer: A review for the clinician. Lung Cancer . 2018;115:34-41. doi:10.1016/j.lung - can.2017.10.015 11. Weston AD, Korfiatis P, Kline TL, et al. Au - tomated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning. Radiology . 2019;290(3):669- 679. doi:10.1148/radiol.2018181432 12. Swartz JE, Pothen AJ, Wegner I, et al. Feasibility of using head and neck CT im - aging to assess skeletal muscle mass in head and neck cancer patients. Oral Oncol . 2016;62:28-33. doi:10.1016/j.oraloncolo - gy.2016.09.006 13. Gondrie MJA, Mali WPTM, Jacobs PC, Oen AL, van der Graaf Y. Cardiovascular Disease: Prediction with Ancillary Aortic Findings on Chest CT Scans in Routine Practice. Ra- diology . 2010;257(2):549-559. doi:10.1148/ radiol.10100054 9
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