Cervical body composition on radiotherapy planning computed tomography scans predicts overall survival in glioblastoma patients

被引:4
|
作者
Troschel, Fabian M. [1 ]
Troschel, Benjamin O. [1 ]
Kloss, Maren [2 ]
Troschel, Amelie S. [3 ]
Pepper, Niklas B. [1 ]
Wiewrodt, Rainer G. [4 ,5 ]
Stummer, Walter [2 ]
Wiewrodt, Dorothee [2 ]
Eich, Hans Theodor [1 ]
机构
[1] Munster Univ Hosp, Dept Radiat Oncol, Albert Schweitzer Campus 1, D-48149 Munster, Germany
[2] Munster Univ Hosp, Dept Neurosurg, Albert Schweitzer Campus 1, D-48149 Munster, Germany
[3] Klinikum Wolfsburg, Dept Med 2, Sauerbruchstr 7, D-38440 Wolfsburg, Germany
[4] Munster Univ, Pulm Res Div, Albert Schweitzer Campus 1, D-48149 Munster, Germany
[5] Hosp Rheine & Ibbenbueren, Mathias Fdn, Dept Pulm Med, Frankenburgsstr 31, D-48431 Rheine, Germany
关键词
Body composition; Glioblastoma; Overall survival; Sarcopenia; Computed tomography; Prognostic biomarker; Cervical muscle; SKELETAL-MUSCLE MASS; LUNG-CANCER; HEAD; IMPACT; INDEX;
D O I
10.1016/j.ctro.2023.100621
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background and purpose: Glioblastoma (GBM) patients face a strongly unfavorable prognosis despite multimodal therapy regimens. However, individualized mortality prediction remains imprecise. Harnessing routine radiation planning cranial computed tomography (CT) scans, we assessed cervical body composition measures as novel biomarkers for overall survival (OS) in GBM patients.Materials and methods: We performed threshold-based semi-automated quantification of muscle and subcutaneous fat cross-sectional area (CSA) at the levels of the first and second cervical vertebral body. First, we tested this method's validity by correlating cervical measures to established abdominal body composition in an open-source whole-body CT cohort. We then identified consecutive patients undergoing radiation planning for recent GBM diagnosis at our institution from 2010 to 2020 and quantified cervical body composition on radiation planning CT scans. Finally, we performed univariable and multivariable time-to-event analyses, adjusting for age, sex, body mass index, comorbidities, performance status, extent of surgical resection, extent of tumor at diagnosis, and MGMT methylation.Results: Cervical body composition measurements were well-correlated with established abdominal markers (Spearman's rho greater than 0.68 in all cases). Subsequently, we included 324 GBM patients in our study cohort (median age 63 years, 60.8% male). 293 (90.4%) patients died during follow-up. Median survival time was 13 months. Patients with below-average muscle CSA or above-average fat CSA demonstrated shorter survival. In multivariable analyses, continuous cervical muscle measurements remained independently associated with OS.Conclusion: This exploratory study establishes novel cervical body composition measures routinely available on cranial radiation planning CT scans and confirms their association with OS in patients diagnosed with GBM.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Agreement between software programmes of body composition analyses on abdominal computed tomography scans of obese adults
    Barbalho, Erica Roberta
    Gomes da Rocha, Ilanna Marques
    Cunha de Medeiros, Galtieri Otavio
    Friedman, Rogerio
    Trussardi Fayh, Ana Paula
    ARCHIVES OF ENDOCRINOLOGY METABOLISM, 2020, 64 (01): : 24 - 29
  • [42] Assessment of body composition parameters in elderly lung transplantation recipients using chest computed tomography scans
    Kifjak, Daria
    Prosch, Helmut
    Schwarz, Stefan
    Benazzo, Alberto
    Jaksch, Peter
    Klepetko, Walter
    Hoetzenecker, Konrad
    Schweiger, Thomas
    WIENER KLINISCHE WOCHENSCHRIFT, 2019, 131 (19-20) : 527 - 527
  • [43] Computed tomography-based radiomics modeling to predict patient overall survival in cervical cancer with intensity-modulated radiotherapy combined with concurrent chemotherapy
    Xiao, Lihong
    Wang, Youhua
    Shi, Xiangxiang
    Pang, Haowen
    Li, Yunfei
    JOURNAL OF INTERNATIONAL MEDICAL RESEARCH, 2025, 53 (03)
  • [44] BODY COMPOSITION IN PATIENTS WITH SYSTEMIC SCLEROSIS: RESULTS OF A COMPUTED TOMOGRAPHY STUDY
    Binda, M.
    Fichera, G.
    Moccaldi, B.
    Pilati, L.
    Doria, A.
    Giraudo, C.
    Zanatta, E.
    ANNALS OF THE RHEUMATIC DISEASES, 2023, 82 : 1011 - 1011
  • [45] Cluster analysis of computed tomography scans predicts patients that respond to lung volume reduction surgery (LVRS).
    Coxson, HO
    Whittall, KP
    Rogers, RM
    Sclurba, FC
    Keenan, R
    Silfies, LN
    Hogg, JC
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 1999, 159 (03) : A808 - A808
  • [46] Negative Whole-Body Computed Tomography Scans in Polytrauma Patients: A Retrospective Cohort Study
    Maghraby, Nisreen H.
    Alshaqaq, Hassan M.
    AlQattan, Abdullah Saleh
    Alfaraj, Adnan Fawzi
    Alghamdi, Omar A.
    Alzawad, Malak J.
    Farcy, David A.
    OPEN ACCESS EMERGENCY MEDICINE, 2020, 12 : 305 - 313
  • [47] Temporalis Muscle Width as a Measure of Sarcopenia Independently Predicts Overall Survival in Patients with Newly Diagnosed Glioblastoma
    Hsieh, K.
    Hwang, M.
    Estevez-Inoa, G.
    Saraf, A.
    Spina, C. S.
    Smith, D.
    Wu, C. C.
    Wang, T. J. C.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2018, 102 (03): : E225 - E225
  • [48] The relationship between computed tomography-derived body composition, systemic inflammation, and survival in patients with abdominal aortic aneurysm
    Bradley, Nicholas A.
    Walter, Amy
    Wilson, Alasdair
    Siddiqui, Tamim
    Roxburgh, Campbell S. D.
    McMillan, Donald C.
    Guthrie, Graeme J. K.
    JOURNAL OF VASCULAR SURGERY, 2023, 78 (04) : 937 - 944.e4
  • [49] The Association of Body Composition Parameters Measured by Computed Tomography with Cancer Stage, Prognosis, and Survival in Patients with Renal Cell Carcinoma
    Gur Ozcan, Seray Gizem
    Barali, Deniz
    Erkan, Anil
    CURRENT MEDICAL IMAGING, 2024, 20
  • [50] Dosimetric analysis on computed tomography myelography based treatment planning in stereotactic body radiotherapy for spinal metastases
    Shimizu, Hidetoshi
    Koide, Yutaro
    Sasaki, Koji
    Watanabe, Yui
    Haimoto, Shoichi
    Aoyama, Takahiro
    Tachibana, Hiroyuki
    Iwata, Tohru
    Kitagawa, Tomoki
    Kodaira, Takeshi
    MEDICAL DOSIMETRY, 2023, 48 (03) : 187 - 192