Research progress on the identification of central lung cancer and atelectasis using multimodal imaging_Journal of Biomedical Engineering

Authors：

LIU Tianye ^1,2 ,  ZHU Jian ^2,3 , LI Baosheng ^2,3

1. Department of Graduate, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, P. R. China;
2. Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Jinan 250117, P. R. China;
3. Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan 250117, P. R. China;

Corresponding?author：

Keywords：

Lung cancer; Atelectasis; Medical imaging; Radiotherapy

DOI：

10.7507/1001-5515.202304016

Video：

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Central lung cancer is a common disease in clinic which usually occurs above the segmental bronchus. It is commonly accompanied by bronchial stenosis or obstruction, which can easily lead to atelectasis. Accurately distinguishing lung cancer from atelectasis is important for tumor staging, delineating the radiotherapy target area, and evaluating treatment efficacy. This article reviews domestic and foreign literatures on how to define the boundary between central lung cancer and atelectasis based on multimodal images, aiming to summarize the experiences and propose the prospects.

Citation： LIU Tianye, ZHU Jian, LI Baosheng. Research progress on the identification of central lung cancer and atelectasis using multimodal imaging. Journal of Biomedical Engineering, 2023, 40(6): 1255-1260. doi: 10.7507/1001-5515.202304016 Copy

1.	梁遠仲, 王雯, 張秀媛. 中央型肺癌X線胸片與CT的臨床診斷效果評價及診斷正確率分析. 影像研究與醫學應用, 2022, 6(4): 160-162.
2.	Yusuf G T, Fang C, Tran S, et al. A pictorial review of the utility of CEUS in thoracic biopsies. Insights Imaging, 2021, 12(1): 9.
3.	周美君, 蔣喜文. 超聲造影在中央型肺癌伴肺不張中的應用準確性探討. 影像研究與醫學應用, 2021, 5(23): 68-69.
4.	朱麗靜, 王興華. 超聲造影定量參數對肺部良惡性病變鑒別診斷的研究. 中國臨床醫學影像雜志, 2020, 31(1): 34-37.
5.	Liang J, Wang D, Li H, et al. Contrast enhanced ultrasound for needle biopsy of thoracic lesions. Oncol Lett, 2020, 20(4): 75.
6.	Mongodi S, De Luca D, Colombo A, et al. Quantitative lung ultrasound: technical aspects and clinical applications. Anesthesiology, 2021, 134(6): 949-965.
7.	梁萍, 郭倩茹, 阿麗米熱·合勒力, 等. 超聲造影診斷繼發性肺結核的臨床價值. 影像研究與醫學應用, 2022, 6(22): 160-162.
8.	Laursen C B , Clive A , Hallifax R, et al. European Respiratory Society statement on thoracic ultrasound. Eur Respir J, 2021, 57(3): 2001519.
9.	喬香梅, 陸銳, 馬苗, 等. DWI在鑒別中心型肺癌與阻塞性肺不張中的應用. 醫學影像學雜志, 2020, 30(8): 1376-1379.
10.	謝青, 任彤, 孫梅, 等. DWI-MRI對區分中央型肺癌與阻塞性肺不張的價值. 中國臨床研究, 2020, 33(8): 1097-1100.
11.	Zhang H, Fu C, Fan M, et al. Reduction of inter-observer variability using MRI and CT fusion in delineating of primary tumor for radiotherapy in lung cancer with atelectasis. Front Oncol, 2022, 12: 841771.
12.	康媛媛. 中央型肺癌臨床診斷中CT檢查與X線胸片的應用對比. 數理醫藥學雜志, 2021, 34(3): 357-358.
13.	陳劍賢, 黃騰飛. CT增強掃描對中央型肺癌的診斷價值分析. 中國實用醫藥, 2019, 14(16): 43-44.
14.	許愷, 王伯源, 白德波, 等. X線與CT診斷中央型肺癌的影像學特點和價值分析. 臨床肺科雜志, 2012, 17(9): 1718-1719.
15.	祝繼青, 楊國平, 項光漲, 等. 中央型肺癌的X線與CT診斷對照分析. 中華腫瘤防治雜志, 2020, 27(S1): 62-63.
16.	戴啟斌. 螺旋CT診斷肺癌的應用與CT特征研究. 中國衛生標準管理, 2020, 11(2): 105-108.
17.	陸志前, 王成林, 龍飛翔, 等. 多層螺旋CT重建在早期肺癌檢查中的應用. 中國CT和MRI雜志, 2022, 20(5): 83-85.
18.	Quint L E, Whyte R I, Kazerooni E A, et al. Stenosis of the central airways: evaluation by using helical CT with multiplanar reconstructions. Radiology, 1995, 194(3): 871-877.
19.	王磊, 于麗, 任法云. CT增強掃描對中央型肺癌術前分期的診斷價值. 癌癥進展, 2020, 18(24): 2520-2522.
20.	Qi L P , Zhang X P , Tang L, et al. Using diffusion-weighted MR imaging for tumor detection in the collapsed lung: a preliminary study. European Radiology, 2009, 19(2): 333-341.
21.	Onitsuka H, Tsukuda M, Araki A, et al. Differentiation of central lung tumor from postobstructive lobar collapse by rapid sequence computed tomography. Journal of Thoracic Imaging, 1991, 6(2): 28-31.
22.	Kim C, Kim W, Park S J, et al. Application of dual-energy spectral computed tomography to thoracic oncology imaging. Korean J Radiol, 2020, 21(7): 838-850.
23.	丁鸝, 李小梅, 許乙凱, 等. 雙能量CT多參數定量分析在肺癌診療中的應用進展. 影像診斷與介入放射學, 2022, 31(6): 428-433.
24.	何小群, 李琦, 羅天友, 等. 能譜CT在精準勾畫繼發阻塞性不張的中央型肺癌放療靶區中的價值. 中國醫學計算機成像雜志, 2021, 27(1): 52-56.
25.	傅志穎, 陳亮, 鄒南安, 等. 能譜CT在鑒別中央型肺癌與阻塞性肺不張中的價值研究. 中國醫學創新, 2022, 19(34): 122-125.
26.	方家楊, 梁長宇, 陶俊利, 等. 雙能CT虛擬單能+圖像鑒別肺癌和鄰近肺不張的初探. 臨床放射學雜志, 2021, 40(12): 2309-2314.
27.	裴麗美, 李曉陽, 王洪峰. 能譜CT在鑒別中央型肺癌與阻塞性肺不張中的價值研究. 中國煤炭工業醫學雜志, 2021, 24(3): 247-250.
28.	Lococo F, Muoio B, Chiappetta M, et al. Diagnostic performance of PET or PET/CT with different radiotracers in patients with suspicious lung cancer or pleural tumours according to published meta-analyses. Contrast Media Mol Imaging, 2020, 2020: 5282698.
29.	Farsad M. FDG PET/CT in the staging of lung cancer. Current Radiopharmaceuticals, 2020, 13(3): 195-203.
30.	Yu T. COV is a readily available quantitative indicator of metabolic heterogeneity for predicting survival of patients with early and locally advanced NSCLC manifesting as central lung cancer. European Journal of Radiology, 2020, 132: 109338.
31.	Wang N, Qiao Y, Song Y, et al. In 18F-positron emission tomography/computed tomography-guided precision radiotherapy for centrally located non-small cell lung cancer, tumor related atelectasis is a prognostic factor of survival. Frontiers in Oncology, 2022, 12: 898233.
32.	宋志雨, 劉丹, 馬天江, 等. PET/CT融合圖像在非小細胞肺癌放療靶區勾畫中的臨床價值. 河南醫學研究, 2022, 31(8): 1397-1400.
33.	Filice A, Casali M, Ciammella P, et al. Radiotherapy planning and molecular imaging in lung cancer. Current Radiopharmaceuticals, 2020, 13(3): 204-217.
34.	宋穎秋, 王天祿, 黨軍, 等. PET/CT下合并肺不張非小細胞肺癌的治療結果和預后分析. 中國腫瘤, 2017, 26(1): 68-72.
35.	Mac Manus M P, Hicks R J. The role of positron emission tomography/computed tomography in radiation therapy planning for patients with lung cancer. Seminars in Nuclear Medicine, 2012, 42(5): 308-319.
36.	Karki K, Saraiya S, Hugo G D, et al. Variabilities of magnetic resonance imaging–, computed tomography–, and positron emission tomography–computed tomography–based tumor and lymph node delineations for lung cancer radiation therapy planning. International Journal of Radiation Oncology Biology Physics, 2017, 99(1): 80-89.
37.	Kumar S, Holloway L, Boxer M, et al. Variability of gross tumour volume delineation: MRI and CT based tumour and lymph node delineation for lung radiotherapy. Radiother Oncol, 2022, 167: 292-299.
38.	Tyagi N, Cloutier M, Zakian K, et al. Diffusion-weighted MRI of the lung at 3T evaluated using echo-planar-based and single-shot turbo spin-echo-based acquisition techniques for radiotherapy applications. Journal of Applied Clinical Medical Physics, 2019, 20(1): 284-292.
39.	Gupta A, Kikano E G, Bera K, et al. Dual energy imaging in cardiothoracic pathologies: a primer for radiologists and clinicians. Eur J Radiol Open, 2021, 8: 100324.
40.	Krarup M M K, Fischer B M, Christensen T N. New PET tracers: current knowledge and perspectives in lung cancer. Seminars in Nuclear Medicine, 2022, 52(6): 781-796.
41.	Crivellaro C, Guerra L. Respiratory gating and the performance of PET/CT in pulmonary lesions. Current Radiopharmaceuticals, 2020, 13(3): 218-227.
42.	Le Pechoux C, Faivre-Finn C, Ramella S, et al. ESTRO ACROP guidelines for target volume definition in the thoracic radiation treatment of small cell lung cancer. Radiotherapy and Oncology, 2020, 152: 89-95.
43.	Schiebler M L. Can solitary pulmonary nodules be accurately characterized with diffusion-weighted MRI?. Radiology, 2019, 290(2): 535-536.
44.	Besson F L, Fernandez B, Faure S, et al. Diffusion-weighted imaging voxelwise-matched analyses of lung cancer at 3.0-T PET/MRI: reverse phase encoding approach for echo-planar imaging distortion correction. Radiology, 2020, 295(3): 692-700.
45.	Chai R, Wang Q, Qin P, et al. Differentiating central lung tumors from atelectasis with contrast-enhanced CT-based radiomics features. Biomed Res Int, 2021, 2021: 5522452.

1. 梁遠仲, 王雯, 張秀媛. 中央型肺癌X線胸片與CT的臨床診斷效果評價及診斷正確率分析. 影像研究與醫學應用, 2022, 6(4): 160-162.
2. Yusuf G T, Fang C, Tran S, et al. A pictorial review of the utility of CEUS in thoracic biopsies. Insights Imaging, 2021, 12(1): 9.
3. 周美君, 蔣喜文. 超聲造影在中央型肺癌伴肺不張中的應用準確性探討. 影像研究與醫學應用, 2021, 5(23): 68-69.
4. 朱麗靜, 王興華. 超聲造影定量參數對肺部良惡性病變鑒別診斷的研究. 中國臨床醫學影像雜志, 2020, 31(1): 34-37.
5. Liang J, Wang D, Li H, et al. Contrast enhanced ultrasound for needle biopsy of thoracic lesions. Oncol Lett, 2020, 20(4): 75.
6. Mongodi S, De Luca D, Colombo A, et al. Quantitative lung ultrasound: technical aspects and clinical applications. Anesthesiology, 2021, 134(6): 949-965.
7. 梁萍, 郭倩茹, 阿麗米熱·合勒力, 等. 超聲造影診斷繼發性肺結核的臨床價值. 影像研究與醫學應用, 2022, 6(22): 160-162.
8. Laursen C B , Clive A , Hallifax R, et al. European Respiratory Society statement on thoracic ultrasound. Eur Respir J, 2021, 57(3): 2001519.
9. 喬香梅, 陸銳, 馬苗, 等. DWI在鑒別中心型肺癌與阻塞性肺不張中的應用. 醫學影像學雜志, 2020, 30(8): 1376-1379.
10. 謝青, 任彤, 孫梅, 等. DWI-MRI對區分中央型肺癌與阻塞性肺不張的價值. 中國臨床研究, 2020, 33(8): 1097-1100.
11. Zhang H, Fu C, Fan M, et al. Reduction of inter-observer variability using MRI and CT fusion in delineating of primary tumor for radiotherapy in lung cancer with atelectasis. Front Oncol, 2022, 12: 841771.
12. 康媛媛. 中央型肺癌臨床診斷中CT檢查與X線胸片的應用對比. 數理醫藥學雜志, 2021, 34(3): 357-358.
13. 陳劍賢, 黃騰飛. CT增強掃描對中央型肺癌的診斷價值分析. 中國實用醫藥, 2019, 14(16): 43-44.
14. 許愷, 王伯源, 白德波, 等. X線與CT診斷中央型肺癌的影像學特點和價值分析. 臨床肺科雜志, 2012, 17(9): 1718-1719.
15. 祝繼青, 楊國平, 項光漲, 等. 中央型肺癌的X線與CT診斷對照分析. 中華腫瘤防治雜志, 2020, 27(S1): 62-63.
16. 戴啟斌. 螺旋CT診斷肺癌的應用與CT特征研究. 中國衛生標準管理, 2020, 11(2): 105-108.
17. 陸志前, 王成林, 龍飛翔, 等. 多層螺旋CT重建在早期肺癌檢查中的應用. 中國CT和MRI雜志, 2022, 20(5): 83-85.
18. Quint L E, Whyte R I, Kazerooni E A, et al. Stenosis of the central airways: evaluation by using helical CT with multiplanar reconstructions. Radiology, 1995, 194(3): 871-877.
19. 王磊, 于麗, 任法云. CT增強掃描對中央型肺癌術前分期的診斷價值. 癌癥進展, 2020, 18(24): 2520-2522.
20. Qi L P , Zhang X P , Tang L, et al. Using diffusion-weighted MR imaging for tumor detection in the collapsed lung: a preliminary study. European Radiology, 2009, 19(2): 333-341.
21. Onitsuka H, Tsukuda M, Araki A, et al. Differentiation of central lung tumor from postobstructive lobar collapse by rapid sequence computed tomography. Journal of Thoracic Imaging, 1991, 6(2): 28-31.
22. Kim C, Kim W, Park S J, et al. Application of dual-energy spectral computed tomography to thoracic oncology imaging. Korean J Radiol, 2020, 21(7): 838-850.
23. 丁鸝, 李小梅, 許乙凱, 等. 雙能量CT多參數定量分析在肺癌診療中的應用進展. 影像診斷與介入放射學, 2022, 31(6): 428-433.
24. 何小群, 李琦, 羅天友, 等. 能譜CT在精準勾畫繼發阻塞性不張的中央型肺癌放療靶區中的價值. 中國醫學計算機成像雜志, 2021, 27(1): 52-56.
25. 傅志穎, 陳亮, 鄒南安, 等. 能譜CT在鑒別中央型肺癌與阻塞性肺不張中的價值研究. 中國醫學創新, 2022, 19(34): 122-125.
26. 方家楊, 梁長宇, 陶俊利, 等. 雙能CT虛擬單能+圖像鑒別肺癌和鄰近肺不張的初探. 臨床放射學雜志, 2021, 40(12): 2309-2314.
27. 裴麗美, 李曉陽, 王洪峰. 能譜CT在鑒別中央型肺癌與阻塞性肺不張中的價值研究. 中國煤炭工業醫學雜志, 2021, 24(3): 247-250.
28. Lococo F, Muoio B, Chiappetta M, et al. Diagnostic performance of PET or PET/CT with different radiotracers in patients with suspicious lung cancer or pleural tumours according to published meta-analyses. Contrast Media Mol Imaging, 2020, 2020: 5282698.
29. Farsad M. FDG PET/CT in the staging of lung cancer. Current Radiopharmaceuticals, 2020, 13(3): 195-203.
30. Yu T. COV is a readily available quantitative indicator of metabolic heterogeneity for predicting survival of patients with early and locally advanced NSCLC manifesting as central lung cancer. European Journal of Radiology, 2020, 132: 109338.
31. Wang N, Qiao Y, Song Y, et al. In 18F-positron emission tomography/computed tomography-guided precision radiotherapy for centrally located non-small cell lung cancer, tumor related atelectasis is a prognostic factor of survival. Frontiers in Oncology, 2022, 12: 898233.
32. 宋志雨, 劉丹, 馬天江, 等. PET/CT融合圖像在非小細胞肺癌放療靶區勾畫中的臨床價值. 河南醫學研究, 2022, 31(8): 1397-1400.
33. Filice A, Casali M, Ciammella P, et al. Radiotherapy planning and molecular imaging in lung cancer. Current Radiopharmaceuticals, 2020, 13(3): 204-217.
34. 宋穎秋, 王天祿, 黨軍, 等. PET/CT下合并肺不張非小細胞肺癌的治療結果和預后分析. 中國腫瘤, 2017, 26(1): 68-72.
35. Mac Manus M P, Hicks R J. The role of positron emission tomography/computed tomography in radiation therapy planning for patients with lung cancer. Seminars in Nuclear Medicine, 2012, 42(5): 308-319.
36. Karki K, Saraiya S, Hugo G D, et al. Variabilities of magnetic resonance imaging–, computed tomography–, and positron emission tomography–computed tomography–based tumor and lymph node delineations for lung cancer radiation therapy planning. International Journal of Radiation Oncology Biology Physics, 2017, 99(1): 80-89.
37. Kumar S, Holloway L, Boxer M, et al. Variability of gross tumour volume delineation: MRI and CT based tumour and lymph node delineation for lung radiotherapy. Radiother Oncol, 2022, 167: 292-299.
38. Tyagi N, Cloutier M, Zakian K, et al. Diffusion-weighted MRI of the lung at 3T evaluated using echo-planar-based and single-shot turbo spin-echo-based acquisition techniques for radiotherapy applications. Journal of Applied Clinical Medical Physics, 2019, 20(1): 284-292.
39. Gupta A, Kikano E G, Bera K, et al. Dual energy imaging in cardiothoracic pathologies: a primer for radiologists and clinicians. Eur J Radiol Open, 2021, 8: 100324.
40. Krarup M M K, Fischer B M, Christensen T N. New PET tracers: current knowledge and perspectives in lung cancer. Seminars in Nuclear Medicine, 2022, 52(6): 781-796.
41. Crivellaro C, Guerra L. Respiratory gating and the performance of PET/CT in pulmonary lesions. Current Radiopharmaceuticals, 2020, 13(3): 218-227.
42. Le Pechoux C, Faivre-Finn C, Ramella S, et al. ESTRO ACROP guidelines for target volume definition in the thoracic radiation treatment of small cell lung cancer. Radiotherapy and Oncology, 2020, 152: 89-95.
43. Schiebler M L. Can solitary pulmonary nodules be accurately characterized with diffusion-weighted MRI?. Radiology, 2019, 290(2): 535-536.
44. Besson F L, Fernandez B, Faure S, et al. Diffusion-weighted imaging voxelwise-matched analyses of lung cancer at 3.0-T PET/MRI: reverse phase encoding approach for echo-planar imaging distortion correction. Radiology, 2020, 295(3): 692-700.
45. Chai R, Wang Q, Qin P, et al. Differentiating central lung tumors from atelectasis with contrast-enhanced CT-based radiomics features. Biomed Res Int, 2021, 2021: 5522452.

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