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Predictive value of multiple imaging predictive models for spread through air spaces of lung adenocarcinoma: A systematic review and network meta‑analysis

  • Authors:
    • Cong Liu
    • Yu-Feng Wang
    • Peng Wang
    • Feng Guo
    • Hong-Ying Zhao
    • Qiang Wang
    • Zhi-Wei Shi
    • Xiao-Feng Li
  • View Affiliations / Copyright

    Affiliations: Department of Minimally Invasive Oncology, Xuzhou New Health Hospital (The Xuzhou Hospital Affiliated to Jiangsu University), Xuzhou, Jiangsu 221000, P.R. China, Department of Nuclear Medicine, Xuzhou Cancer Hospital (The Xuzhou Hospital Affiliated to Jiangsu University), Xuzhou, Jiangsu 221000, P.R. China, Department of Medical Oncology, Xuzhou Cancer Hospital (The Xuzhou Hospital Affiliated to Jiangsu University), Xuzhou, Jiangsu 221000, P.R. China, Department of Radiotherapy, Xuzhou Cancer Hospital (The Xuzhou Hospital Affiliated to Jiangsu University), Xuzhou, Jiangsu 221000, P.R. China, Department of Radiology, Xuzhou Cancer Hospital (The Xuzhou Hospital Affiliated to Jiangsu University), Xuzhou, Jiangsu 221000, P.R. China
    Copyright: © Liu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 122
    |
    Published online on: January 25, 2024
       https://doi.org/10.3892/ol.2024.14255
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Abstract

Spread Through Air Spaces (STAS) is involved in lung adenocarcinoma (LUAD) recurrence, where cancer cells spread into adjacent lung tissue, impacting surgical planning and prognosis assessment. Radiomics‑based models show promise in predicting STAS preoperatively, enhancing surgical precision and prognostic evaluations. The present study performed network meta‑analysis to assess the predictive efficacy of imaging models for STAS in LUAD. Data were systematically sourced from PubMed, Embase, Scopus, Wiley and Web of Science, according to the Cochrane Handbook for Systematic Reviews of Interventions) and A Measurement Tool to Assess systematic Reviews 2. Using Stata software v17.0 for meta‑analysis, surface under the cumulative ranking area (SUCRA) was applied to identify the most effective diagnostic method. Quality assessments were performed using Cochrane Collaboration's risk‑of‑bias tool and publication bias was assessed using Deeks' funnel plot. The analysis encompassed 14 articles, involving 3,734 patients, and assessed 17 predictive models for STAS in LUAD. According to comprehensive analysis of SUCRA, the machine learning (ML)_Peri_tumour model had the highest accuracy (56.5), the Features_computed tomography (CT) model had the highest sensitivity (51.9) and the positron emission tomography (pet)_CT model had the highest specificity (53.9). ML_Peri_tumour model had the highest predictive performance. The accuracy was as follows: ML_Peri_tumour vs. Features_CT [relative risk (RR)=1.14; 95% confidence interval (CI), 0.99‑1.32]; ML_Peri_tumour vs. ML_Tumour (RR=1.04; 95% CI, 0.83‑1.30) and ML_Peri_tumour vs. pet_CT (RR=1.04; 95% CI, 0.84‑1.29). Comparative analyses revealed heightened predictive accuracy of the ML_Peri_tumour compared with other models. Nonetheless, the field of radiological feature analysis for STAS prediction remains nascent, necessitating improvements in technical reproducibility and comprehensive model evaluation.
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View References

1 

Zhuo Y, Feng M, Yang S, Zhou L, Ge D, Lu S, Liu L, Shan F and Zhang Z: Radiomics nomograms of tumors and peritumoral regions for the preoperative prediction of spread through air spaces in lung adenocarcinoma. Transl Oncol. 13:1008202020. View Article : Google Scholar : PubMed/NCBI

2 

Blaauwgeers H, Flieder D, Warth A, Harms A, Monkhorst K, Witte B and Thunnissen E: A prospective study of loose tissue fragments in non-small cell lung cancer resection specimens: An alternative view to ‘spread through air spaces’. Am J Surg Pathol. 41:1226–1230. 2017. View Article : Google Scholar : PubMed/NCBI

3 

Kadota K, Nitadori JI, Sima CS, Ujiie H, Rizk NP, Jones DR, Adusumilli PS and Travis WD: Tumor spread through air spaces is an important pattern of invasion and impacts the frequency and location of recurrences after limited resection for small stage I lung adenocarcinomas. J Thorac Oncol. 10:806–814. 2015. View Article : Google Scholar : PubMed/NCBI

4 

Travis WD, Brambilla E, Nicholson AG, Yatabe Y, Austin JHM, Beasley MB, Chirieac LR, Dacic S, Duhig E, Flieder DB, et al: The 2015 world health organization classification of lung tumors: Impact of genetic, clinical and radiologic advances since the 2004 classification. J Thorac Oncol. 10:1243–1260. 2015. View Article : Google Scholar : PubMed/NCBI

5 

Liao G, Huang L, Wu S, Zhang P, Xie D, Yao L, Zhang Z, Yao S, Shanshan L, Wang S, et al: Preoperative CT-based peritumoral and tumoral radiomic features prediction for tumor spread through air spaces in clinical stage I lung adenocarcinoma. Lung Cancer. 163:87–95. 2022. View Article : Google Scholar : PubMed/NCBI

6 

Terada Y, Takahashi T, Morita S, Kashiwabara K, Nagayama K, Nitadori JI, Anraku M, Sato M, Shinozaki-Ushiku A and Nakajima J: Spread through air spaces is an independent predictor of recurrence in stage III (N2) lung adenocarcinoma. Interact Cardiovasc Thorac Surg. 29:442–448. 2019. View Article : Google Scholar : PubMed/NCBI

7 

Niu Y, Han X, Zeng Y, Nanding A, Bai Q, Guo S, Hou Y, Yu Y, Zhang Q and Li X: The significance of spread through air spaces in the prognostic assessment model of stage I lung adenocarcinoma and the exploration of its invasion mechanism. J Cancer Res Clin Oncol. 149:7125–7138. 2023. View Article : Google Scholar : PubMed/NCBI

8 

Eguchi T, Kameda K, Lu S, Bott MJ, Tan KS, Montecalvo J, Chang JC, Rekhtman N, Jones DR, Travis WD and Adusumilli PS: Lobectomy is associated with better outcomes than sublobar resection in spread through air spaces (STAS)-positive T1 lung adenocarcinoma: A propensity score-matched analysis. J Thorac Oncol. 14:87–98. 2019. View Article : Google Scholar : PubMed/NCBI

9 

Ji GW, Zhang YD, Zhang H, Zhu FP, Wang K, Xia YX, Zhang YD, Jiang WJ, Li XC and Wang XH: Biliary tract cancer at CT: A radiomics-based model to predict lymph node metastasis and survival outcomes. Radiology. 290:90–98. 2019. View Article : Google Scholar : PubMed/NCBI

10 

Autorino R, Gui B, Panza G, Boldrini L, Cusumano D, Russo L, Nardangeli A, Persiani S, Campitelli M, Ferrandina G, et al: Radiomics-based prediction of two-year clinical outcome in locally advanced cervical cancer patients undergoing neoadjuvant chemoradiotherapy. Radiol Med. 127:498–506. 2022. View Article : Google Scholar : PubMed/NCBI

11 

Cong H, Peng W, Tian Z, Vallières M, Chuanpei X, Aijun Z and Benxin Z: FDG-PET/CT radiomics models for the early prediction of locoregional recurrence in head and neck cancer. Curr Med Imaging. 17:374–383. 2021. View Article : Google Scholar : PubMed/NCBI

12 

Jiang C, Luo Y, Yuan J, You S, Chen Z, Wu M, Wang G and Gong J: CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma. Eur Radiol. 30:4050–4057. 2020. View Article : Google Scholar : PubMed/NCBI

13 

Li C, Jiang C, Gong J, Wu X, Luo Y and Sun G: A CT-based logistic regression model to predict spread through air space in lung adenocarcinoma. Quant Imaging Med Surg. 10:1984–1993. 2020. View Article : Google Scholar : PubMed/NCBI

14 

Liu A, Sun X, Xu J, Xuan Y, Zhao Y, Qiu T, Hou F, Qin Y, Wang Y, Lu T, et al: Relevance and prognostic ability of Twist, Slug and tumor spread through air spaces in lung adenocarcinoma. Cancer Med. 9:1986–1998. 2020. View Article : Google Scholar : PubMed/NCBI

15 

Chen Y, Jiang C, Kang W, Gong J, Luo D, You S, Cheng Z, Luo Y and Wu K: Development and validation of a CT-based nomogram to predict spread through air space (STAS) in peripheral stage IA lung adenocarcinoma. Jpn J Radiol. 40:586–594. 2022. View Article : Google Scholar : PubMed/NCBI

16 

Nishimori M, Iwasa H, Miyatake K, Nitta N, Nakaji K, Matsumoto T, Yamanishi T, Yoshimatsu R, Iguchi M, Tamura M and Yamagami T: 18F FDG-PET/CT analysis of spread through air spaces (STAS) in clinical stage I lung adenocarcinoma. Ann Nucl Med. 36:897–903. 2022. View Article : Google Scholar : PubMed/NCBI

17 

Shea BJ, Reeves BC, Wells G, Thuku M, Hamel C, Moran J, Moher D, Tugwell P, Welch V, Kristjansson E and Henry DA: AMSTAR 2: A critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. BMJ. 358:j40082017. View Article : Google Scholar : PubMed/NCBI

18 

Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ and Welch VA: Cochrane handbook for systematic reviews of interventions version 6.4 (updated August 2023). Cochrane; 2023

19 

Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, Leeflang MM, Sterne JA and Bossuyt PM; QUADAS-2 group, : QUADAS-2: A revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 155:529–536. 2011. View Article : Google Scholar : PubMed/NCBI

20 

Wang SR, Li QL, Tian F, Li J, Li WX, Chen M, Sang T, Cao CL and Shi LN: Diagnostic value of multiple diagnostic methods for lymph node metastases of papillary thyroid carcinoma: A systematic review and meta-analysis. Front Oncol. 12:9906032022. View Article : Google Scholar : PubMed/NCBI

21 

Kutob L and Schneider F: Lung cancer staging. Surg Pathol Clin. 13:57–71. 2020. View Article : Google Scholar : PubMed/NCBI

22 

Heinecke A, Tallarita M and De Iorio M: Bayesian splines versus fractional polynomials in network meta-analysis. BMC Med Res Methodol. 20:2612020. View Article : Google Scholar : PubMed/NCBI

23 

Hutton B, Salanti G, Caldwell DM, Chaimani A, Schmid CH, Cameron C, Ioannidis JP, Straus S, Thorlund K, Jansen JP, et al: The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: Checklist and explanations. Ann Intern Med. 162:777–784. 2015. View Article : Google Scholar : PubMed/NCBI

24 

Kapor S, Rankovic MJ, Khazaei Y, Crispin A, Schüler I, Krause F, Lussi A, Neuhaus K, Eggmann F, Michou S, et al: Systematic review and meta-analysis of diagnostic methods for occlusal surface caries. Clin Oral Investig. 25:4801–4815. 2021. View Article : Google Scholar : PubMed/NCBI

25 

Bassi M, Russomando A, Vannucci J, Ciardiello A, Dolciami M, Ricci P, Pernazza A, D'Amati G, Terracciano CM, Faccini R, et al: Role of radiomics in predicting lung cancer spread through air spaces in a heterogeneous dataset. Transl Lung Cancer Res. 11:560–571. 2022. View Article : Google Scholar : PubMed/NCBI

26 

Qi L, Li X, He L, Cheng G, Cai Y, Xue K and Li M: Comparison of diagnostic performance of spread through airspaces of lung adenocarcinoma based on morphological analysis and perinodular and intranodular radiomic features on chest CT images. Front Oncol. 11:6544132021. View Article : Google Scholar : PubMed/NCBI

27 

Chen LW, Lin MW, Hsieh MS, Yang SM, Wang HJ, Chen YC, Chen HY, Hu YH, Lee CE, Chen JS, et al: Radiomic values from high-grade subtypes to predict spread through air spaces in lung adenocarcinoma. Ann Thorac Surg. 114:999–1006. 2022. View Article : Google Scholar : PubMed/NCBI

28 

Kim SK, Kim TJ, Chung MJ, Kim TS, Lee KS, Zo JI and Shim YM: Lung Adenocarcinoma: CT features associated with spread through air spaces. Radiology. 289:831–840. 2018. View Article : Google Scholar : PubMed/NCBI

29 

Qin L, Sun Y, Zhu R, Hu B and Wu J: Clinicopathological and CT features of tumor spread through air space in invasive lung adenocarcinoma. Front Oncol. 12:9591132022. View Article : Google Scholar : PubMed/NCBI

30 

Qi L, Xue K, Cai Y, Lu J, Li X and Li M: Predictors of CT morphologic features to identify spread through air spaces preoperatively in small-sized lung adenocarcinoma. Front Oncol. 10:5484302020. View Article : Google Scholar : PubMed/NCBI

31 

Zhang Z, Liu Z, Feng H, Xiao F, Shao W, Liang C, Sun H, Gu X and Liu D: Predictive value of radiological features on spread through air space in stage cIA lung adenocarcinoma. J Thorac Dis. 12:6494–6504. 2020. View Article : Google Scholar : PubMed/NCBI

32 

Han X, Fan J, Zheng Y, Ding C, Zhang X, Zhang K, Wang N, Jia X, Li Y, Liu J, et al: The value of CT-based radiomics for predicting spread through air spaces in stage IA lung adenocarcinoma. Front Oncol. 12:7573892022. View Article : Google Scholar : PubMed/NCBI

33 

Takehana K, Sakamoto R, Fujimoto K, Matsuo Y, Nakajima N, Yoshizawa A, Menju T, Nakamura M, Yamada R, Mizowaki T and Nakamoto Y: Peritumoral radiomics features on preoperative thin-slice CT images can predict the spread through air spaces of lung adenocarcinoma. Sci Rep. 12:103232022. View Article : Google Scholar : PubMed/NCBI

34 

Wang XY, Zhao YF, Yang L, Liu Y, Yang YK and Wu N: Correlation analysis between metabolic tumor burden measured by positron emission tomography/computed tomography and the 2015 World Health Organization classification of lung adenocarcinoma, with a risk prediction model of tumor spread through air spaces. Transl Cancer Res. 9:6412–6422. 2020. View Article : Google Scholar : PubMed/NCBI

35 

Falay O, Selçukbiricik F, Tanju S, Erus S, Kapdağli M, Cesur E, Yavuz Ö, Bulutay P, Firat P, Mandel NM and Dilege Ş: The prediction of spread through air spaces with preoperative 18F-FDG PET/CT in cases with primary lung adenocarcinoma, its effect on the decision for an adjuvant treatment and its prognostic role. Nucl Med Commun. 42:922–927. 2021. View Article : Google Scholar : PubMed/NCBI

36 

Wang S, Shou H, Wen H, Wang X, Wang H, Lu C, Gu J, Xu F, Zhu Q, Wang L and Ge D: An individual nomogram can reliably predict tumor spread through air spaces in non-small-cell lung cancer. BMC Pulm Med. 22:2092022. View Article : Google Scholar : PubMed/NCBI

37 

Toki MI, Harrington K and Syrigos KN: The role of spread through air spaces (STAS) in lung adenocarcinoma prognosis and therapeutic decision making. Lung Cancer. 146:127–133. 2020. View Article : Google Scholar : PubMed/NCBI

38 

Sun F, Huang Y, Yang X, Zhan C, Xi J, Lin Z, Shi Y, Jiang W and Wang Q: Solid component ratio influences prognosis of GGO-featured IA stage invasive lung adenocarcinoma. Cancer Imagin. 20:872020. View Article : Google Scholar

39 

Bai S, Wang Z, Sun Z and Liu Z: Study on the relationship between lung cancer stromal cells and air cavity diffusion based on an image acquisition system. Contrast Media Mol Imaging. 2022:24921242022. View Article : Google Scholar : PubMed/NCBI

40 

Li Y, Reyhan M, Zhang Y, Wang X, Zhou J, Zhang Y, Yue NJ and Nie K: The impact of phantom design and material-dependence on repeatability and reproducibility of CT-based radiomics features. Med Phys. 49:1648–1659. 2022. View Article : Google Scholar : PubMed/NCBI

41 

Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N, Pencina MJ and Kattan MW: Assessing the performance of prediction models: A framework for traditional and novel measures. Epidemiology. 21:128–138. 2010. View Article : Google Scholar : PubMed/NCBI

42 

Sauerbrei W, Taube SE, McShane LM, Cavenagh MM and Altman DG: Reporting recommendations for tumor marker prognostic studies (REMARK): An abridged explanation and elaboration. J Natl Cancer Inst. 110:803–811. 2018. View Article : Google Scholar : PubMed/NCBI

43 

Nagendran M, Chen Y, Lovejoy CA, Gordon AC, Komorowski M, Harvey H, Topol EJ, Ioannidis JPA, Collins GS and Maruthappu M: Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies. BMJ. 368:m6892020. View Article : Google Scholar : PubMed/NCBI

44 

Christodoulou E, Ma J, Collins GS, Steyerberg EW, Verbakel JY and Van Calster B: A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models. J Clin Epidemiol. 110:12–22. 2019. View Article : Google Scholar : PubMed/NCBI

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Copy and paste a formatted citation
Spandidos Publications style
Liu C, Wang Y, Wang P, Guo F, Zhao H, Wang Q, Shi Z and Li X: Predictive value of multiple imaging predictive models for spread through air spaces of lung adenocarcinoma: A systematic review and network meta‑analysis. Oncol Lett 27: 122, 2024.
APA
Liu, C., Wang, Y., Wang, P., Guo, F., Zhao, H., Wang, Q. ... Li, X. (2024). Predictive value of multiple imaging predictive models for spread through air spaces of lung adenocarcinoma: A systematic review and network meta‑analysis. Oncology Letters, 27, 122. https://doi.org/10.3892/ol.2024.14255
MLA
Liu, C., Wang, Y., Wang, P., Guo, F., Zhao, H., Wang, Q., Shi, Z., Li, X."Predictive value of multiple imaging predictive models for spread through air spaces of lung adenocarcinoma: A systematic review and network meta‑analysis". Oncology Letters 27.3 (2024): 122.
Chicago
Liu, C., Wang, Y., Wang, P., Guo, F., Zhao, H., Wang, Q., Shi, Z., Li, X."Predictive value of multiple imaging predictive models for spread through air spaces of lung adenocarcinoma: A systematic review and network meta‑analysis". Oncology Letters 27, no. 3 (2024): 122. https://doi.org/10.3892/ol.2024.14255
Copy and paste a formatted citation
x
Spandidos Publications style
Liu C, Wang Y, Wang P, Guo F, Zhao H, Wang Q, Shi Z and Li X: Predictive value of multiple imaging predictive models for spread through air spaces of lung adenocarcinoma: A systematic review and network meta‑analysis. Oncol Lett 27: 122, 2024.
APA
Liu, C., Wang, Y., Wang, P., Guo, F., Zhao, H., Wang, Q. ... Li, X. (2024). Predictive value of multiple imaging predictive models for spread through air spaces of lung adenocarcinoma: A systematic review and network meta‑analysis. Oncology Letters, 27, 122. https://doi.org/10.3892/ol.2024.14255
MLA
Liu, C., Wang, Y., Wang, P., Guo, F., Zhao, H., Wang, Q., Shi, Z., Li, X."Predictive value of multiple imaging predictive models for spread through air spaces of lung adenocarcinoma: A systematic review and network meta‑analysis". Oncology Letters 27.3 (2024): 122.
Chicago
Liu, C., Wang, Y., Wang, P., Guo, F., Zhao, H., Wang, Q., Shi, Z., Li, X."Predictive value of multiple imaging predictive models for spread through air spaces of lung adenocarcinoma: A systematic review and network meta‑analysis". Oncology Letters 27, no. 3 (2024): 122. https://doi.org/10.3892/ol.2024.14255
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