Prognostic Value of [18F]-FDG PET/CT Radiomics Combined with Sarcopenia Status among Patients with Advanced Gastroesophageal Cancer

被引:11
作者
Hinzpeter, Ricarda [1 ]
Mirshahvalad, Seyed Ali [1 ]
Kulanthaivelu, Roshini [1 ]
Ortega, Claudia [1 ]
Metser, Ur [1 ]
Liu, Zhihui A. [2 ]
Elimova, Elena [3 ]
Wong, Rebecca K. S. [4 ]
Yeung, Jonathan [5 ]
Jang, Raymond Woo-Jun [4 ]
Veit-Haibach, Patrick [1 ]
机构
[1] Univ Toronto, Univ Hlth Network, Toronto Gen Hosp, Joint Dept Med Imaging, Toronto, ON M5G 2C4, Canada
[2] Univ Toronto, Univ Hlth Network, Princess Margaret Canc Ctr, Dept Biostat, Toronto, ON M5G 2C4, Canada
[3] Univ Toronto, Univ Hlth Network, Princess Margaret Canc Ctr, Dept Med Oncol, Toronto, ON M5G 2C4, Canada
[4] Univ Toronto, Univ Hlth Network, Princess Margaret Canc Ctr, Dept Radiat Oncol, Toronto, ON M5G 2C4, Canada
[5] Univ Toronto, Univ Hlth Network, Toronto Gen Hosp, Dept Surg, Toronto, ON M5G 2C4, Canada
关键词
(18)[18F]-FDG PET; CT; radiomics; sarcopenia; gastroesophageal cancer; POSITRON-EMISSION-TOMOGRAPHY; ESOPHAGEAL CANCER; PATHOLOGICAL RESPONSE; TEXTURE ANALYSIS; F-18-FDG PET/CT; HETEROGENEITY; CHEMOTHERAPY; FEATURES; FUTURE; TUMOR;
D O I
10.3390/cancers14215314
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Simple Summary Increasing knowledge of outcome prognostication, derived from various clinical and imaging-derived parameters, has the potential for pretreatment risk stratification, allowing clinicians to deliver more patient specific treatment tailored to individual risk. Our study indicates that a prognostic model, combining clinical parameter, PET and CT radiomics with sarcopenic status, derived from standard of care clinical 18F-FDG-PET/CT improves outcome prognostication among patients with advanced, metastatic esophageal and gastroesophageal cancer. We investigated, whether (18)[18F]-FDG PET/CT-derived radiomics combined with sarcopenia measurements improves survival prognostication among patients with advanced, metastatic gastroesophageal cancer. In our study, 128 consecutive patients with advanced, metastatic esophageal and gastroesophageal cancer (n = 128; 26 females; 102 males; mean age 63.5 +/- 11.7 years; age range: 29-91 years) undergoing (18)[18F]-FDG PET/CT for staging between November 2008 and December 2019 were included. Segmentation of the primary tumor and radiomics analysis derived from PET and CT images was performed semi-automatically with a commonly used open-source software platform (LIFEX, Version 6.30, lifexsoft.org). Patients' nutritional status was determined by measuring the skeletal muscle index (SMI) at the level of L3 on the CT component. Univariable and multivariable analyses were performed to establish a survival prediction model including radiomics, clinical data, and SMI score. Univariable Cox proportional hazards model revealed ECOG (<0.001) and bone metastasis (p = 0.028) to be significant clinical parameters for overall survival (OS) and progression free survival (PFS). Age (p = 0.017) was an additional prognostic factor for OS. Multivariable analysis showed improved prognostication for overall and progression free survival when adding sarcopenic status, PET and CT radiomics to the model with clinical parameters only. PET and CT radiomics derived from hybrid (18)[18F]-FDG PET/CT combined with sarcopenia measurements and clinical parameters may improve survival prediction among patients with advanced, metastatic gastroesophageal cancer.
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页数:12
相关论文
共 43 条
[1]   Combined 18F-FDG PET/CT Radiomics and Sarcopenia Score in Predicting Relapse-Free Survival and Overall Survival in Patients With Esophagogastric Cancer [J].
Anconina, Reut ;
Ortega, Claudia ;
Metser, Ur ;
Liu, Zhihui Amy ;
Elimova, Elena ;
Allen, Michael ;
Darling, Gail E. ;
Wong, Rebecca ;
Taylor, Kirsty ;
Yeung, Jonathan ;
Chen, Eric X. ;
Swallow, Carol J. ;
Jang, Raymond W. ;
Veit-Haibach, Patrick .
CLINICAL NUCLEAR MEDICINE, 2022, 47 (08) :684-691
[2]   Radiomics allows for detection of benign and malignant histopathology in patients with metastatic testicular germ cell tumors prior to post-chemotherapy retroperitoneal lymph node dissection [J].
Baessler, Bettina ;
Nestler, Tim ;
dos Santos, Daniel ;
Paffenholz, Pia ;
Zeuch, Vikram ;
Pfister, David ;
Maintz, David ;
Heidenreich, Axel .
EUROPEAN RADIOLOGY, 2020, 30 (04) :2334-2345
[3]   Prediction of Response to Neoadjuvant Chemotherapy and Radiation Therapy with Baseline and Restaging 18F-FDG PET Imaging Biomarkers in Patients with Esophageal Cancer [J].
Beukinga, Roelof J. ;
Hulshoff, Jan Binne ;
Mul, Veronique E. M. ;
Noordzij, Walter ;
Kats-Ugurlu, Gursah ;
Slart, Riemer H. J. A. ;
Plukker, John T. M. .
RADIOLOGY, 2018, 287 (03) :983-992
[4]   Accuracy of PET-CT in Predicting Survival in Patients with Esophageal Cancer [J].
Brown, Claire ;
Howes, Ben ;
Jamieson, Glyn G. ;
Bartholomeusz, Dylan ;
Zingg, Urs ;
Sullivan, Thomas R. ;
Thompson, Sarah K. .
WORLD JOURNAL OF SURGERY, 2012, 36 (05) :1089-1095
[5]   The patterns and dynamics of genomic instability in metastatic pancreatic cancer [J].
Campbell, Peter J. ;
Yachida, Shinichi ;
Mudie, Laura J. ;
Stephens, Philip J. ;
Pleasance, Erin D. ;
Stebbings, Lucy A. ;
Morsberger, Laura A. ;
Latimer, Calli ;
McLaren, Stuart ;
Lin, Meng-Lay ;
McBride, David J. ;
Varela, Ignacio ;
Nik-Zainal, Serena A. ;
Leroy, Catherine ;
Jia, Mingming ;
Menzies, Andrew ;
Butler, Adam P. ;
Teague, Jon W. ;
Griffin, Constance A. ;
Burton, John ;
Swerdlow, Harold ;
Quail, Michael A. ;
Stratton, Michael R. ;
Iacobuzio-Donahue, Christine ;
Futreal, P. Andrew .
NATURE, 2010, 467 (7319) :1109-1113
[6]   Sarcopenia: European consensus on definition and diagnosis [J].
Cruz-Jentoft, Alfonso J. ;
Baeyens, Jean Pierre ;
Bauer, Juergen M. ;
Boirie, Yves ;
Cederholm, Tommy ;
Landi, Francesco ;
Martin, Finbarr C. ;
Michel, Jean-Pierre ;
Rolland, Yves ;
Schneider, Stephane M. ;
Topinkova, Eva ;
Vandewoude, Maurits ;
Zamboni, Mauro .
AGE AND AGEING, 2010, 39 (04) :412-423
[7]   Perioperative chemotherapy versus surgery alone for resectable gastroesophageal cancer [J].
Cunningham, David ;
Allum, William H. ;
Stenning, Sally P. ;
Thompson, Jeremy N. ;
Van de Velde, Cornelis J. H. ;
Nicolson, Marianne ;
Scarffe, J. Howard ;
Lofts, Fiona J. ;
Falk, Stephen J. ;
Iveson, Timothy J. ;
Smith, David B. ;
Langley, Ruth E. ;
Verma, Monica ;
Weeden, Simon ;
Chua, Yu Jo .
NEW ENGLAND JOURNAL OF MEDICINE, 2006, 355 (01) :11-20
[8]   Preoperative sarcopenia is a predictor of poor prognosis of esophageal cancer after esophagectomy: a comprehensive systematic review and meta-analysis [J].
Deng, Han-Yu ;
Zha, Panpan ;
Peng, Lei ;
Hou, Liang ;
Huang, Kai-Li ;
Li, Xiao-Yun .
DISEASES OF THE ESOPHAGUS, 2019, 32 (03)
[9]   Skeletal muscle cutoff values for sarcopenia diagnosis using T10 to L5 measurements in a healthy US population [J].
Derstine, Brian A. ;
Holcombe, Sven A. ;
Ross, Brian E. ;
Wang, Nicholas C. ;
Su, Grace L. ;
Wang, Stewart C. .
SCIENTIFIC REPORTS, 2018, 8
[10]   The impact of intratumoral metabolic heterogeneity on postoperative recurrence and survival in resectable esophageal squamous cell carcinoma [J].
Dong, Xinzhe ;
Sun, Xiaorong ;
Zhao, Xianguang ;
Zhu, Wanqi ;
Sun, Lu ;
Huang, Yong ;
Li, Wenwu ;
Wan, Honglin ;
Xing, Ligang ;
Yu, Jinming .
ONCOTARGET, 2017, 8 (09) :14969-14977