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Predicting pleural invasion using HRCT and 18F-FDG PET/CT in lung adenocarcinoma with pleural contact

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Abstract

Objective

To evaluate the relevance of high-resolution computed tomography (HRCT) findings and fluorine-18-fluorodeoxyglucose (18F-FDG) uptake for risk stratification of visceral pleural invasion by lung adenocarcinoma.

Methods

The HRCT findings and 18F-FDG uptake for lung adenocarcinomas with pleural contact on CT were retrospectively analyzed in 208 consecutive patients (94 females and 114 males; median age, 69.0 years) between January 2009 and December 2013, with institutional review board approval. The HRCT findings and maximum standardized uptake value (SUVmax) were recorded for each patient. Multivariate logistic regression was used for statistical analysis, and subgroup analysis stratified for whole tumor size ≤3 cm was also performed.

Results

Multivariate analysis showed that SUVmax [odds ratio (OR) 1.09, 95 % confidence interval (CI) 1.02–1.16, P = 0.014] and obtuse angle (OR 4.14, 95 % CI 1.97–8.74, P < 0.001) were significant independent predictors for visceral pleural invasion. Receiver operating characteristic (ROC) analysis showed that, compared with the multivariate models [area under the curve (Az) 0.819–0.829], SUVmax alone (Az 0.815) was useful in predicting visceral pleural invasion. In the subgroup analysis, multivariate analysis showed that SUVmax (OR 1.29, 95 % CI 1.12–1.50, P = 0.001) and contact length with the pleura (OR 1.13, 95 % CI 1.05–1.22, P = 0.001) were significant independent predictors for visceral pleural invasion. ROC analysis showed that SUVmax alone (Az 0.844) showed similar diagnostic performance to the multivariate models (Az 0.845–0.857).

Conclusions

SUVmax alone and multivariate models including SUVmax are useful for the prediction of visceral pleural invasion by lung adenocarcinoma.

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References

  1. Kawaguchi K, Mori S, Usami N, Fukui T, Mitsudomi T, Yokoi K. Preoperative evaluation of the depth of chest wall invasion and the extent of combined resections in lung cancer patients. Lung Cancer. 2009;64(1):41–4.

    Article  PubMed  Google Scholar 

  2. Suzuki N, Saitoh T, Kitamura S. Tumor invasion of the chest wall in lung cancer: diagnosis with US. Radiology. 1993;187(1):39–42.

    Article  CAS  PubMed  Google Scholar 

  3. Murata K, Takahashi M, Mori M, Shimoyama K, Mishina A, Fujino S, et al. Chest wall and mediastinal invasion by lung cancer: evaluation with multisection expiratory dynamic CT. Radiology. 1994;191(1):251–5.

    Article  CAS  PubMed  Google Scholar 

  4. Shirakawa T, Fukuda K, Miyamoto Y, Tanabe H, Tada S. Parietal pleural invasion of lung masses: evaluation with CT performed during deep inspiration and expiration. Radiology. 1994;192(3):809–11.

    Article  CAS  PubMed  Google Scholar 

  5. Akata S, Kajiwara N, Park J, Yoshimura M, Kakizaki D, Abe K, et al. Evaluation of chest wall invasion by lung cancer using respiratory dynamic MRI. J Med Imag Rad Oncol. 2008;52(1):36–9.

    Article  CAS  Google Scholar 

  6. Hamasaki M, Kato F, Koga K, Hayashi H, Aoki M, Miyake Y, et al. Invasion of the inner and outer layers of the visceral pleura in pT1 size lung adenocarcinoma measuring ≤3 cm: correlation with malignant aggressiveness and prognosis. Virchows Archiv Int J Pathol. 2012;461(5):513–9.

    Article  Google Scholar 

  7. Kato T, Ishikawa K, Aragaki M, Sato M, Okamoto K, Ishibashi T, et al. Angiolymphatic invasion exerts a strong impact on surgical outcomes for stage I lung adenocarcinoma, but not non-adenocarcinoma. Lung Cancer. 2012;77(2):394–400.

    Article  PubMed  Google Scholar 

  8. Neri S, Yoshida J, Ishii G, Matsumura Y, Aokage K, Hishida T, et al. Prognostic impact of microscopic vessel invasion and visceral pleural invasion in non-small cell lung cancer: a retrospective analysis of 2657 patients. Ann Surg. 2014.

  9. Goldstraw P, Crowley J, Chansky K, Giroux DJ, Groome PA, Rami-Porta R, et al. The IASLC Lung Cancer Staging Project: proposals for the revision of the TNM stage groupings in the forthcoming (seventh) edition of the TNM Classification of malignant tumours. J Thorac Oncol. 2007;2(8):706–14.

    Article  PubMed  Google Scholar 

  10. Higashi K, Ueda Y, Arisaka Y, Sakuma T, Nambu Y, Oguchi M, et al. 18F-FDG uptake as a biologic prognostic factor for recurrence in patients with surgically resected non-small cell lung cancer. J Nuclear Med Off Publ Soc Nuclear Med. 2002;43(1):39–45.

    Google Scholar 

  11. Travis WBE, Muller-Hermelink H, Harris C. International histological classification of tumors. 3rd ed. Lyon: IARC Press; 2004.

    Google Scholar 

  12. Glazer HS, Duncan-Meyer J, Aronberg DJ, Moran JF, Levitt RG, Sagel SS. Pleural and chest wall invasion in bronchogenic carcinoma: cT evaluation. Radiology. 1985;157(1):191–4.

    Article  CAS  PubMed  Google Scholar 

  13. Ratto GB, Piacenza G, Frola C, Musante F, Serrano I, Giua R, et al. Chest wall involvement by lung cancer: computed tomographic detection and results of operation. Ann Thoracic Surg. 1991;51(2):182–8.

    Article  CAS  Google Scholar 

  14. Imai K, Minamiya Y, Ishiyama K, Hashimoto M, Saito H, Motoyama S, et al. Use of CT to evaluate pleural invasion in non-small cell lung cancer: measurement of the ratio of the interface between tumor and neighboring structures to maximum tumor diameter. Radiology. 2013;267(2):619–26.

    Article  PubMed  Google Scholar 

  15. Casali C, Cucca M, Rossi G, Barbieri F, Iacuzio L, Bagni B, et al. The variation of prognostic significance of Maximum Standardized Uptake Value of [18F]-fluoro-2-deoxy-glucose positron emission tomography in different histological subtypes and pathological stages of surgically resected Non-Small Cell Lung Carcinoma. Lung Cancer. 2010;69(2):187–93.

    Article  PubMed  Google Scholar 

  16. Tsutani Y, Miyata Y, Nakayama H, Okumura S, Adachi S, Yoshimura M, et al. Prediction of pathologic node-negative clinical stage IA lung adenocarcinoma for optimal candidates undergoing sublobar resection. J Thoracic Cardiovas Surg. 2012;144(6):1365–71.

    Article  Google Scholar 

  17. Domen H, Hida Y, Okamoto S, Hatanaka KC, Hatanaka Y, Kaga K, et al. Histopathologic characterization of lung adenocarcinoma in relation to fluorine-18-fluorodeoxyglucose uptake on positron emission tomography. Jpn J Clin Oncol. 2013;43(9):874–82.

    Article  PubMed  Google Scholar 

  18. Maeda R, Isowa N, Onuma H, Miura H, Harada T, Touge H, et al. The maximum standardized 18F-fluorodeoxyglucose uptake on positron emission tomography predicts lymph node metastasis and invasiveness in clinical stage IA non-small cell lung cancer. Interact Cardio Vasc Thorac Surg. 2009;9(1):79–82.

    Article  Google Scholar 

  19. Takenaka T, Yano T, Morodomi Y, Ito K, Miura N, Kawano D, et al. Prediction of true-negative lymph node metastasis in clinical IA non-small cell lung cancer by measuring standardized uptake values on positron emission tomography. Surg Today. 2012;42(10):934–9.

    Article  PubMed  Google Scholar 

  20. Hattori A, Suzuki K, Matsunaga T, Fukui M, Tsushima Y, Takamochi K, et al. Tumour standardized uptake value on positron emission tomography is a novel predictor of adenocarcinoma in situ for c-Stage IA lung cancer patients with a part-solid nodule on thin-section computed tomography scan. Interact CardioVasc Thorac Surg. 2014;18(3):329–34.

    Article  PubMed Central  PubMed  Google Scholar 

  21. Williford ME, Hidalgo H, Putman CE, Korobkin M, Ram PC. Computed tomography of pleural disease. AJR Am J Roentgenol. 1983;140(5):909–14.

    Article  CAS  PubMed  Google Scholar 

  22. Tsutani Y, Miyata Y, Mimae T, Kushitani K, Takeshima Y, Yoshimura M, et al. The prognostic role of pathologic invasive component size, excluding lepidic growth, in stage I lung adenocarcinoma. J Thoracic Cardiovasc Surg. 2013;146(3):580–5.

    Article  Google Scholar 

  23. Tamura M, Oda M, Matsumoto I, Shimizu Y, Waseda R, Watanabe G. Radiologic and nuclear medicine predictors of tumor invasiveness in patients with clinical stage IA lung adenocarcinoma. World J Surg. 2011;35(9):2010–5.

    Article  PubMed  Google Scholar 

  24. Yanagawa M, Tanaka Y, Leung AN, Morii E, Kusumoto M, Watanabe S, et al. Prognostic importance of volumetric measurements in stage I lung adenocarcinoma. Radiology. 2014;272(2):557–67.

    Article  PubMed  Google Scholar 

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Correspondence to Takashi Tanaka.

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Tanaka, T., Shinya, T., Sato, S. et al. Predicting pleural invasion using HRCT and 18F-FDG PET/CT in lung adenocarcinoma with pleural contact. Ann Nucl Med 29, 757–765 (2015). https://doi.org/10.1007/s12149-015-0999-x

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  • DOI: https://doi.org/10.1007/s12149-015-0999-x

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