Shang-Wen Chen1,2,3, Wei-Chih Shen4, William Tzu-Liang Chen2,5, Te-Chun Hsieh6,7, Kuo-Yang Yen6,7, Jan-Gowth Chang2,8, Chia-Hung Kao9,10,11. 1. Department of Radiation Oncology, China Medical University Hospital, Taichung, Taiwan. 2. Graduate Institute of Clinical Medical Science, School of Medicine, College of Medicine, China Medical University, No. 2, Yuh-Der Road, Taichung, 404, Taiwan. 3. Department of Radiology, School of Medicine, Taipei Medical University, Taipei, Taiwan. 4. Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan. 5. Department of Surgery, China Medical University Hospital, Taichung, Taiwan. 6. Department of Nuclear Medicine and PET Center, China Medical University Hospital, Taichung, Taiwan. 7. Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan. 8. Department of Laboratory Medicine, Chine Medical University Hospital, Taichung, Taiwan. 9. Graduate Institute of Clinical Medical Science, School of Medicine, College of Medicine, China Medical University, No. 2, Yuh-Der Road, Taichung, 404, Taiwan. d10040@mail.cmuh.org.tw. 10. Department of Nuclear Medicine and PET Center, China Medical University Hospital, Taichung, Taiwan. d10040@mail.cmuh.org.tw. 11. Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan. d10040@mail.cmuh.org.tw.
Abstract
PURPOSE: To understand the association between genetic mutations and radiomics of 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) positron emission tomography (PET)/x-ray computed tomography (CT) in patients with colorectal cancer (CRC). PROCEDURES: This study included 74 CRC patients who had undergone preoperative [18F]FDG PET/CT. A total of 65 PET/CT-related features including intensity, volume-based, histogram, and textural features were calculated. High-resolution melting methods were used for genetic mutation analysis. RESULTS: Genetic mutants were found in 21 KRAS tumors (28 %), 31 TP53 tumors (42 %), and 17 APC tumors (23 %). Tumors with a mutated KRAS had an increased value at the 25th percentile of maximal standardized uptake value (SUVmax) within their metabolic tumor volume (MTV) (P < .0001; odds ratio [OR] 1.99; 95 % confidence interval [CI] 1.37-2.90) and their contrast from the gray-level cooccurrence matrix (P = .005; OR 1.52; 95 % CI 1.14-2.04). A mutated TP53 was associated with an increased value of short-run low gray-level emphasis derived from the gray-level run length matrix (P = .001; OR 243006.0; 95 % CI 59.2-996,872,313). APC mutants exhibited lower low gray-level zone emphasis derived from the gray-level zone length matrix (P = .006; OR < .0001; 95 % CI 0.000-0.22). CONCLUSION: PET/CT-derived radiomics can provide supplemental information to determine KRAS, TP53, and APC genetic alterations in CRC.
PURPOSE: To understand the association between genetic mutations and radiomics of 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) positron emission tomography (PET)/x-ray computed tomography (CT) in patients with colorectal cancer (CRC). PROCEDURES: This study included 74 CRC patients who had undergone preoperative [18F]FDG PET/CT. A total of 65 PET/CT-related features including intensity, volume-based, histogram, and textural features were calculated. High-resolution melting methods were used for genetic mutation analysis. RESULTS: Genetic mutants were found in 21 KRAS tumors (28 %), 31 TP53tumors (42 %), and 17 APC tumors (23 %). Tumors with a mutated KRAS had an increased value at the 25th percentile of maximal standardized uptake value (SUVmax) within their metabolic tumor volume (MTV) (P < .0001; odds ratio [OR] 1.99; 95 % confidence interval [CI] 1.37-2.90) and their contrast from the gray-level cooccurrence matrix (P = .005; OR 1.52; 95 % CI 1.14-2.04). A mutated TP53 was associated with an increased value of short-run low gray-level emphasis derived from the gray-level run length matrix (P = .001; OR 243006.0; 95 % CI 59.2-996,872,313). APC mutants exhibited lower low gray-level zone emphasis derived from the gray-level zone length matrix (P = .006; OR < .0001; 95 % CI 0.000-0.22). CONCLUSION: PET/CT-derived radiomics can provide supplemental information to determine KRAS, TP53, and APC genetic alterations in CRC.
Authors: Jantine L Westra; Michael Schaapveld; Harry Hollema; Jelle P de Boer; Marian M J Kraak; Debora de Jong; Arja ter Elst; Nanno H Mulder; Charles H C M Buys; Robert M W Hofstra; John T M Plukker Journal: J Clin Oncol Date: 2005-08-20 Impact factor: 44.544
Authors: Jihye Yun; Carlo Rago; Ian Cheong; Ray Pagliarini; Philipp Angenendt; Harith Rajagopalan; Kerstin Schmidt; James K V Willson; Sandy Markowitz; Shibin Zhou; Luis A Diaz; Victor E Velculescu; Christoph Lengauer; Kenneth W Kinzler; Bert Vogelstein; Nickolas Papadopoulos Journal: Science Date: 2009-08-06 Impact factor: 47.728
Authors: Stephen S F Yip; John Kim; Thibaud P Coroller; Chintan Parmar; Emmanuel Rios Velazquez; Elizabeth Huynh; Raymond H Mak; Hugo J W L Aerts Journal: J Nucl Med Date: 2016-09-29 Impact factor: 10.057
Authors: Christos S Karapetis; Shirin Khambata-Ford; Derek J Jonker; Chris J O'Callaghan; Dongsheng Tu; Niall C Tebbutt; R John Simes; Haji Chalchal; Jeremy D Shapiro; Sonia Robitaille; Timothy J Price; Lois Shepherd; Heather-Jane Au; Christiane Langer; Malcolm J Moore; John R Zalcberg Journal: N Engl J Med Date: 2008-10-23 Impact factor: 91.245
Authors: Amy Leslie; Norman R Pratt; Karen Gillespie; Mark Sales; Neil M Kernohan; Gillian Smith; C Roland Wolf; Francis A Carey; Robert J C Steele Journal: Cancer Res Date: 2003-08-01 Impact factor: 12.701
Authors: Carmen J Allegra; J Milburn Jessup; Mark R Somerfield; Stanley R Hamilton; Elizabeth H Hammond; Daniel F Hayes; Pamela K McAllister; Roscoe F Morton; Richard L Schilsky Journal: J Clin Oncol Date: 2009-02-02 Impact factor: 44.544
Authors: M Popovic; O Talarico; J van den Hoff; H Kunin; Z Zhang; D Lafontaine; S Dogan; J Leung; E Kaye; C Czmielewski; M E Mayerhoefer; P Zanzonico; R Yaeger; H Schöder; J L Humm; S B Solomon; C T Sofocleous; A S Kirov Journal: EJNMMI Res Date: 2020-11-23 Impact factor: 3.138