Prognostic importance of volumetric measurements in stage I lung adenocarcinoma

Radiology

Volumn 272, Issue 2, 2014, Pages 557-567

  Yanagawa, Masahiro ^a,b   Tanaka, Yuko ^f   Leung, Ann N ^a   Morii, Eiichi ^b,c   Kusumoto, Masahiko ^d   Watanabe, Shunichi ^b   Watanabe, Hirokazu ^d   Inoue, Masayoshi ^d   Okumura, Meinoshin ^d   Gyobu, Tomoko ^b   Ueda, Ken ^b   Honda, Osamu ^b   Sumikawa, Hiromitsu ^b   Johkoh, Takeshi ^e   Tomiyama, Noriyuki ^b  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b OSAKA UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

^c FUJIEDA MUNICIPAL GENERAL HOSPITAL   (Japan)

^d NATIONAL CANCER CENTER   (Japan)

^e Kinki Central Hospital of Mutual Association of Public School Teachers   (Japan)

^f Department of Radiology National Cancer Center ^*

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; AUTOMATION; CANCER CLASSIFICATION; CANCER RECURRENCE; CANCER STAGING; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ANALYSIS; COMPUTER PROGRAM; CONE BEAM COMPUTED TOMOGRAPHY; DISEASE FREE SURVIVAL; FEMALE; HUMAN; LUNG ADENOCARCINOMA; LUNG LOBECTOMY; LUNG NODULE; MAJOR CLINICAL STUDY; MALE; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; OUTCOME ASSESSMENT; OVERALL SURVIVAL; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; TUMOR VOLUME; VERY ELDERLY;

ADENOCARCINOMA; ADULT; AGED; AGED, 80 AND OVER; FEMALE; FLUORODEOXYGLUCOSE F18; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; NEOPLASM STAGING; POSITRON-EMISSION TOMOGRAPHY; PROGNOSIS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOPHARMACEUTICALS; SOFTWARE; SURVIVAL RATE; TOMOGRAPHY, X-RAY COMPUTED; TUMOR BURDEN;

EID: 84905046757     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.14131903     Document Type: Article

References (36)

1. Travis WD, Brambilla E, Noguchi M, et al. International association for the study of lung cancer/american thoracic society/european respiratory society international multidisciplinary classification of lung adenocarcinoma. J Thorac Oncol 2011;6(2):244-285.
2. Ikehara M, Saito H, Yamada K, et al. Prognosis of small adenocarcinoma of the lung based on thin-section computed tomography and pathological preparations. J Comput Assist Tomogr 2008;32(3):426-431.
3. Nakazono T, Sakao Y, Yamaguchi K, Imai S, Kumazoe H, Kudo S. Subtypes of peripheral adenocarcinoma of the lung: difby ferentiation by thin-section CT. Eur Radiol 2005;15(8):1563-1568. (Pubitemid 41102349)
4. Sakao Y, Nakazono T, Tomimitsu S, et al. Lung adenocarcinoma can be subtyped according to tumor dimension by computed tomography mediastinal-window setting. Additional size criteria for clinical T1 adenocarcinoma. Eur J Cardiothorac Surg 2004;26(6):1211-1215. (Pubitemid 39487472)
5. Noguchi M. Stepwise progression of pulmonary adenocarcinoma - clinical and molecular implications. Cancer Metastasis Rev 2010;29(1):15-21.
6. Naidich DP, Bankier AA, MacMahon H, et al. Recommendations for the management of subsolid pulmonary nodules detected at CT: a statement from the Fleischner Society. Radiology 2013;266(1):304-317.
7. Yankelevitz DF, Reeves AP, Kostis WJ, Zhao B, Henschke CI. Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation. Radiology 2000;217(1):251-256. (Pubitemid 33097610)
8. Ko JP, Rusinek H, Jacobs EL, et al. Small pulmonary nodules: volume measurement at chest CT - phantom study. Radiology 2003;228(3):864-870. (Pubitemid 37025500)
9. Das M, Mühlenbruch G, Katoh M, et al. Automated volumetry of solid pulmonary nodules in a phantom: accuracy across different CT scanner technologies. Invest Radiol 2007;42(5):297-302. (Pubitemid 46558089)
10. Marchianò A, Calabrò E, Civelli E, et al. Pulmonary nodules: volume repeatability at multidetector CT lung cancer screening. Radiology 2009;251(3):919-925.
11. Ko JP, Berman EJ, Kaur M, et al. Pulmonary Nodules: growth rate assessment in patients by using serial CT and three-dimensional volumetry. Radiology 2012;262(2):662-671.
12. de Hoop B, Gietema H, van de Vorst S, Murphy K, van Klaveren RJ, Prokop M. Pulmonary ground-glass nodules: increase in mass as an early indicator of growth. Radiology 2010;255(1):199-206.
13. Sato Y, Nakajima S, Shiraga N, et al. Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. Med Image Anal 1998;2(2):143-168. (Pubitemid 128501135)
14. Yanagawa M, Kuriyama K, Kunitomi Y, et al. One-dimensional quantitative evaluation of peripheral lung adenocarcinoma with or without ground-glass opacity on thin-section CT images using profile curves. Br J Radiol 2009;82(979):532-540.
15. Kuriyama K, Gamsu G, Stern RG, Cann CE, Herfkens RJ, Brundage BH. CT-determined pulmonary artery diameters in predicting pulmonary hypertension. Invest Radiol 1984;19(1):16-22. (Pubitemid 14182002)
16. Liu HL, Liu RR, Reeve DM, Shepard SJ, Willis CE. Measurement of CT radiation profile width using CR imaging plates. Med Phys 2005;32(9):2881-2887. (Pubitemid 41384085)
17. Pratt WK. Digital image processing. 4th ed. Los Altos, Calif: Wiley, 2007.
18. Yanagawa M, Tanaka Y, Kusumoto M, et al. Automated assessment of malignant degree of small peripheral adenocarcinomas using volumetric CT data: correlation with pathologic prognostic factors. Lung Cancer 2010;70(3):286-294.
19. Evangelou E, Kyzas PA, Trikalinos TA. Comparison of the diagnostic accuracy of lymphatic endothelium markers: Bayesian approach. Mod Pathol 2005;18(11):1490-1497. (Pubitemid 41509404)
20. Giatromanolaki A, Koukourakis MI, Theodossiou D, et al. Comparative evaluation of angiogenesis assessment with anti-factor-VIII and anti-CD31 immunostaining in non-small cell lung cancer. Clin Cancer Res 1997;3(12 Pt 1):2485-2492. (Pubitemid 28133172)
21. Maclure M, Willett WC. Misinterpretation and misuse of the kappa statistic. Am J Epidemiol 1987;126(2):161-169. (Pubitemid 17102743)
22. Gould MK, Donington J, Lynch WR, et al. Evaluation of individuals with pulmonary nodules: when is it lung cancer? Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest 2013;143(5 Suppl):e93S-120S.
23. Arenas-Jiménez J. Measurement of solid component in part-solid lesions with a mediastinal window setting? Radiology 2013;268(1):305-306.
24. Nakamura H, Saji H, Ogata A, Saijo T, Okada S, Kato H. Lung cancer patients showing pure ground-glass opacity on computed tomography are good candidates for wedge resection. Lung Cancer 2004;44(1):61-68. (Pubitemid 38317262)
25. Park JH, Lee KS, Kim JH, et al. Malignant pure pulmonary ground-glass opacity nodules: prognostic implications. Korean J Radiol 2009;10(1):12-20.
26. Lim HJ, Ahn S, Lee KS, et al. Persistent pure ground-glass opacity lung nodules ≥ 10 mm in diameter at CT scan: histopathologic comparisons and prognostic implications. Chest 2013;144(4):1291-1299.
27. Revel MP, Lefort C, Bissery A, et al. Pulmonary nodules: preliminary experience with three-dimensional evaluation. Radiology 2004;231(2):459-466. (Pubitemid 38552905)
28. Zhao B, Reeves A, Yankelevitz D, Henshke C. Three-dimensional multi-criterion automatic segmentation of pulmonary nodules of helical computed tomography images. Opt Eng 1999;38(8):1340-1347.
29. Reeves AP, Chan AB, Yankelevitz DF, Henschke CI, Kressler B, Kostis WJ. On measuring the change in size of pulmonary nodules. IEEE Trans Med Imaging 2006;25(4):435-450.
30. Kauczor HU, Heitmann K, Heussel CP, Marwede D, Uthmann T, Thelen M. Automatic detection and quantification of ground-glass opacities on high-resolution CT using multiple neural networks: comparison with a density mask. AJR Am J Roentgenol 2000;175(5):1329-1334.
31. Tan Y, Schwartz LH, Zhao B. Segmentation of lung lesions on CT scans using watershed, active contours, and Markov random field. Med Phys 2013;40(4):043502.
32. Kim H, Park CM, Woo S, et al. Pure and partsolid pulmonary ground-glass nodules: measurement variability of volume and mass in nodules with a solid portion less than or equal to 5 mm. Radiology 2013;269(2):585-593.
33. Tsutani Y, Miyata Y, Nakayama H, et al. Prognostic significance of using solid versus whole tumor size on high-resolution computed tomography for predicting pathologic malignant grade of tumors in clinical stage IA lung adenocarcinoma: a multicenter study. J Thorac Cardiovasc Surg 2012;143(3):607-612.
34. Maeyashiki T, Suzuki K, Hattori A, Matsunaga T, Takamochi K, Oh S. The size of consolidation on thin-section computed tomography is a better predictor of survival than the maximum tumour dimension in resectable lung cancer. Eur J Cardiothorac Surg 2013;43(5):915-918.
35. Sakao Y, Miyamoto H, Sakuraba M, et al. Prognostic significance of a histologic subtype in small adenocarcinoma of the lung: the impact of nonbronchioloalveolar carcinoma components. Ann Thorac Surg 2007;83(1):209-214. (Pubitemid 44917878)
36. Hashizume T, Yamada K, Okamoto N, et al. Prognostic significance of thin-section CT scan findings in small-sized lung adenocarcinoma. Chest 2008;133(2):441-447. (Pubitemid 351272403)