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Frontiers in oncology
2022;12 1017618.

A novel diagnostic model for differentiation of lung metastasis from primary lung cancer in patients with colorectal cancer.

Rui Guo, Shi Yan, Fei Wang, Hua Su, Qing Xie, Wei Zhao, Zhi Yang, Nan Li, Jiangyuan Yu
Author Information
  1. Rui Guo: Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), National Medical Products Administration (NPMA) Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China.
  2. Shi Yan: Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, China.
  3. Fei Wang: Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), National Medical Products Administration (NPMA) Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China.
  4. Hua Su: Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), National Medical Products Administration (NPMA) Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China.
  5. Qing Xie: Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), National Medical Products Administration (NPMA) Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China.
  6. Wei Zhao: Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), National Medical Products Administration (NPMA) Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China.
  7. Zhi Yang: Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), National Medical Products Administration (NPMA) Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China.
  8. Nan Li: Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), National Medical Products Administration (NPMA) Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China.
  9. Jiangyuan Yu: Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), National Medical Products Administration (NPMA) Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China.
PMID: 36353559 DOI: 10.3389/fonc.2022.1017618

Abstract

Objective: This study aimed to evaluate the F-FDG PET/CT in differentiating lung metastasis(LM) from primary lung cancer(LC) in patients with colorectal cancer (CRC).
Methods: A total of 120 CRC patients (80 male, 40 female) who underwent F-FDG PET/CT were included. The diagnosis of primary lung cancer or lung metastasis was based on histopathology The patients were divided into a training cohort and a validation cohort randomized 1:1. Independent risk factors were extracted through the clinical information and F-FDG PET/CT imaging characteristics of patients in the validation cohort, and then a diagnostic model was constructed and a nomograms was made. ROC curve, calibration curve, cutoff, sensitivity, specificity, and accuracy were used to evaluate the prediction performance of the diagnostic model.
Results: One hundred and twenty Indeterminate lung lesions (ILLs) (77 lung metastasis, 43 primary lung cancer) were analyzed. No significant difference in clinical characteristics and imaging features between the training and the validation cohorts ( > 0. 05). Using uni-/multivariate analysis, pleural tags and contour were identified as independent predictors. These independent predictors were used to establish a diagnostic model with areas under the receiver operating characteristic curves (AUCs) of 0.92 and 0.89 in the primary and validation cohorts, respectively. The accuracy rate of the diagnostic model for differentiating LM from LC were higher than that of subjective diagnosis ( < 0.05).
Conclusions: Pleural tags and contour were identified as independent predictors. The diagnostic model of ILLs in patients with CRC could help differentiate between LM and LC.

Keywords

PET/CT colorectal cancer lung lesion lung metastasis primary lung cancer

References

  1. Ann Thorac Surg. 2009 Jun;87(6):1684-8 [PMID: 19463577]
  2. Clin Radiol. 2011 Dec;66(12):1167-74 [PMID: 21867996]
  3. J Thorac Imaging. 1995 Spring;10(2):96-8 [PMID: 7769637]
  4. J Med Imaging Radiat Oncol. 2012 Aug;56(4):417-24 [PMID: 22883649]
  5. Radiology. 1948 Feb;50(2):184-9 [PMID: 18898620]
  6. South Med J. 2001 Apr;94(4):448-9 [PMID: 11332918]
  7. World J Gastroenterol. 2015 Mar 14;21(10):2967-72 [PMID: 25780294]
  8. Colorectal Dis. 2012 Jun;14(6):660-70 [PMID: 21689294]
  9. Int J Cancer. 2008 Nov 15;123(10):2390-6 [PMID: 18729183]
  10. Colorectal Dis. 2017 Sep;19(9):O322-O328 [PMID: 28755421]
  11. Lung Cancer. 2016 Jul;97:81-6 [PMID: 27237032]
  12. Ann Thorac Surg. 2006 Sep;82(3):1016-20 [PMID: 16928527]
  13. Med Oncol. 2011 Dec;28(4):1058-61 [PMID: 20680521]
  14. Ann Surg. 2014 Feb;259(2):323-8 [PMID: 23426347]
  15. J Thorac Cardiovasc Surg. 1997 Jan;113(1):37-49 [PMID: 9011700]
  16. Ann Surg. 2015 Jun;261(6):1145-52 [PMID: 25119121]
  17. Abdom Imaging. 2012 Dec;37(6):1021-31 [PMID: 22371087]
  18. Cancer. 2008 Dec 1;113(11):3213-21 [PMID: 18924145]
  19. J Am Coll Surg. 2010 Jan;210(1):31-8 [PMID: 20123329]
  20. JAMA. 2001 Feb 21;285(7):914-24 [PMID: 11180735]
  21. Eur J Nucl Med Mol Imaging. 2010 Jun;37(6):1087-94 [PMID: 20140611]
  22. Ann Oncol. 2012 Oct;23(10):2649-2655 [PMID: 22547539]
  23. Ann Surg Oncol. 2013 Feb;20(2):572-9 [PMID: 23104709]
  24. Dis Colon Rectum. 2012 Apr;55(4):459-64 [PMID: 22426271]
  25. Surg Today. 2012 Oct;42(10):956-61 [PMID: 22711186]
  26. J Nucl Med. 2007 Feb;48(2):214-20 [PMID: 17268017]
  27. Ann Surg Oncol. 2009 Apr;16(4):1026-32 [PMID: 19184237]
  28. Ann Thorac Surg. 2015 Feb;99(2):435-40 [PMID: 25499475]
  29. Onco Targets Ther. 2020 Sep 30;13:9623-9629 [PMID: 33061444]
  30. J Nucl Med. 2009 May;50 Suppl 1:11S-20S [PMID: 19380405]
  31. Ann Surg Oncol. 2006 Nov;13(11):1538-44 [PMID: 17009154]
  32. Gut. 2017 Apr;66(4):683-691 [PMID: 26818619]
  33. Ann Surg. 2004 Dec;240(6):1027-34; discussion 1035-6 [PMID: 15570208]
  34. Clin Cancer Res. 2004 Mar 15;10(6):1956-62 [PMID: 15041712]
  35. J Korean Soc Coloproctol. 2010 Aug;26(4):293-7 [PMID: 21152232]
  36. Ann Surg Oncol. 2013 Nov;20(12):4022-30 [PMID: 23812771]
  37. AJR Am J Roentgenol. 2010 Mar;194(3):766-71 [PMID: 20173157]
  38. Radiology. 2000 Oct;217(1):257-61 [PMID: 11012454]
  39. Fortschr Med. 1998 Apr 20;116(11):44-6 [PMID: 9609924]
  40. World J Surg Oncol. 2021 Jan 24;19(1):28 [PMID: 33487164]
  41. Interact Cardiovasc Thorac Surg. 2013 Aug;17(2):303-7 [PMID: 23613338]
  42. Radiographics. 2001 Mar-Apr;21(2):403-17 [PMID: 11259704]
  43. J Thorac Oncol. 2008 Feb;3(2):130-4 [PMID: 18303432]
  44. Int J Colorectal Dis. 2012 Feb;27(2):249-55 [PMID: 21845417]
  45. World J Surg. 2018 Apr;42(4):1161-1170 [PMID: 28983707]
  46. Int J Colorectal Dis. 2007 Jun;22(6):699-704 [PMID: 17109105]
  47. Nuklearmedizin. 2009;48(2):59-69, quiz N8-9 [PMID: 19333516]
  48. Am J Clin Pathol. 2009 Jan;131(1):129-33 [PMID: 19095576]
  49. J Nucl Med. 2008 Nov;49(11):1804-8 [PMID: 18927325]
Journal Article

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