Computed tomography assessment of response to therapy: Tumor volume change measurement, truth data, and error

Translational Oncology

Volumn 2, Issue 4, 2009, Pages 216-222

  McNitt Gray, Michael F ^a   Bidaut, Luc M ^b   Armato III, Samuel G ^c   Meyer, Charles R ^d   Gavrielides, Marios A ^e   Fenimore, Charles ^f   McLennan, Geoffrey ^g   Petrick, Nicholas ^d   Zhao, Binsheng ^h   Reeves, Anthony P ⁱ   Beichel, Reinhard ^g   Kim, Hyun Jung ^a   Kinnard, Lisa ^d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

^c UNIVERSITY OF CHICAGO   (United States)

^d UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^e CENTER FOR DEVICES AND RADIOLOGICAL HEALTH   (United States)

^f NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

^g UNIVERSITY OF IOWA   (United States)

^h MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

ⁱ Cornell University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; CONTRAST MEDIUM;

ARTICLE; CANCER THERAPY; CLINICAL ASSESSMENT; COMPUTER ASSISTED TOMOGRAPHY; CONE BEAM COMPUTED TOMOGRAPHY; CONTRAST ENHANCEMENT; DIAGNOSTIC ACCURACY; EARLY DIAGNOSIS; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; LUNG NON SMALL CELL CANCER; LUNG TUMOR; MEASUREMENT ERROR; REFERENCE DATABASE; TREATMENT RESPONSE; TUMOR DIAGNOSIS; TUMOR VOLUME; VARIANCE;

EID: 77953437877     PISSN: None     EISSN: 19365233     Source Type: Journal    
DOI: 10.1593/tlo.09226     Document Type: Article

References (26)

1. Jemal A, Siegel R,Ward E, Hao Y, Xu J, and Thun MJ (2008). Cancer statistics, 2008. CA Cancer J Clin 58, 71-96.
2. Ramalingam S and Belani C (2008). Systemic chemotherapy for advanced non-small cell lung cancer: recent advances and future directions. Oncologist 13, 5-13.
3. Henschke CI, Naidich DP, Yankelevitz DF, McGuinness G, McCauley DI, Smith JP, Libby D, Pasmantier M, Vazquez M, Koizumi J, et al. (2001). Early Lung Cancer Action Project: Initial findings on repeat screening. Cancer 92, 153-159.
4. Swensen SJ, Jett JR, Hartman TE, Midthun DE, Sloan JA, Sykes AM, Aughenbaugh GL, and Clemens MA (2003). Lung cancer screening with CT: Mayo Clinic experience. Radiology 226, 756-761.
5. Sone S, Li F, Yang ZG, Honda T, Maruyama Y, Takashima S, Hasegawa M, Kawakami S, Kubo K, Haniuda M, et al. (2001). Results of three-year mass screening programme for lung cancer using mobile low-dose spiral computed tomography scanner. Br J Cancer 84, 25-32.
6. Hillman BJ (2003). Economic, legal, and ethical rationales for the ACRIN national lung screening trial of CT screening for lung cancer. Acad Radiol 10, 349-350.
7. Kostis WJ, Reeves AP, Yankelevitz DF, and Henschke CI (2003). Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical CT images. IEEE Trans Med Imaging 22 (10), 1259-1274.
8. Yankelevitz DF, Reeves AP, Kostis WJ, Zhao B, and Henschke CI (2000). Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation. Radiology 217 (1), 251-256.
9. Gavrielides MA, Kinnard LM, Myers KJ, and Petrick N (2009). Noncalcified lung nodules: volumetric assessment with thoracic CT. Radiology 251 (1), 26-37.
10. JamesK, Eisenhauer E,ChristianM,TerenzianiM,VenaD,MuldalA, and Therasse P (1999). Measuring response in solid tumors: unidimensional versus bidimensional measurement. J Natl Cancer Inst 91, 523-528.
11. Therasse P, Arbuck SG, Eisenhauer EA, Wanders J, Kaplan RS, Rubinstein L, Verweij J, Van Glabbeke M, van Oosterom AT, Christian MC, et al. (2000). New guidelines to evaluate the response to treatment in solid tumors. J Natl Cancer Inst 92, 205-216.
12. Schwartz LH, Mazumdar M, Brown W, Smith A, and Panicek DM (2003). Variability in response assessment in solid tumors: effect of number of lesions chosen for measurement. Clin Cancer Res 9, 4318-4323.
13. Armato SG III, Meyer CR, Mcnitt-Gray MF, McLennan G, Reeves AP, Croft BY, Clarke LP, and RIDER Research Group (2008). The Reference Image Database to Evaluate Response to therapy in lung cancer (RIDER) project: a resource for the development of change-analysis software. Clin Pharmacol Ther 84 (4), 448-456.
14. Clarke LP, Croft BY, Staab E, Baker H, and Sullivan DC (2001). National Cancer Institute initiative: lung image database resource for imaging research. Acad Radiol 8, 447-450.
15. Armato SG III, McLennan G, McNitt-Gray MF, Meyer CR, Yankelevitz D, Aberle DR, Henschke CI, Hoffman EA, Kazerooni EA, MacMahon H, et al. (2004). Lung Image Database Consortium: developing a resource for the medical imaging research community. Radiology 232, 739-748.
16. McNitt-Gray MF, Armato SG III, Meyer CR, Reeves AP, McLennan G, Pais RC, Freymann J, Brown MS, Engelmann RM, Bland PH, et al. (2007). The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation. Acad Radiol 14, 1464-1474.
17. Armato SG III,McNitt-Gray MF, Reeves AP,Meyer CR,McLennan G, Aberle DR, Kazerooni EA, MacMahon H, van Beek EJ, Yankelevitz D, et al. (2007). The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CTscans. Acad Radiol 14, 1409-1421.
18. Armato SG III, Roberts RY, Kocherginsky M, Aberle DR, Kazerooni EA, Macmahon H, van Beek EJ, Yankelevitz D, McLennan G, McNitt-Gray MF, et al. (2009). Assessment of radiologist performance in the detection of lung nodules: dependence on the definition of "truth". Acad Radiol 16 (1), 28-38.
19. Reeves AP, Biancardi AM, Apanasovich TV, Meyer CR, MacMahon H, van Beek EJ, Kazerooni EA, Yankelevitz D, McNitt-Gray MF, McLennan G, et al. (2007). The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements. Acad Radiol 14, 1475-1485.
20. Meyer CR, Johnson TD,McLennan G, Aberle DR, Kazerooni EA,Macmahon H, Mullan BF, Yankelevitz DF, van Beek EJ, Armato SG III, et al. (2006). Evaluation of lung MDCT nodule annotation across radiologists and methods. Acad Radiol 13, 1254-1265.
21. Meyer CR, Armato SG III, Fenimore CP, McLennan G, Bidaut LM, Barboriak DP, Gavrielides MA, Jackson EF, McNitt-Gray MF, Kinahan PE, et al. (2009). Quantitative imaging to assess tumor response to therapy: common themes ofmeasurement, truth data, and error sources. Transl Oncol 2 (4), 198-210.
22. Zhao B, James LP, Moskowitz CS, Guo P, Ginsberg MS, Lefkowitz RA, Qin Y, Riely GJ, Kris MG, and Schwartz LH (2009). Evaluating variability in tumor measurements from same-day repeat CT scans of patients with non-small cell lung cancer. Radiology 252 (1), 263-272.
23. Winer-Muram HT, Jennings SG, Meyer CA, Liang Y, Aisen AM, Tarver RD, and McGarry RC (2003). Effect of varying CT section width on volumetric measurement of lung tumors and application of compensatory equations. Radiology 229, 184-194.
24. Petrou M, Quint LE, Nan B, and Baker LH (2007). Pulmonary nodule volumetric measurement variability as a function of CT slice thickness and nodule morphology. AJR Am J Roentgenol 188, 306-312.
25. Kuhnigk JM, Dicken V, Bornemann L, Bakai A, Wormanns D, Krass S, and Peitgen HO (2006). Morphological segmentation and partial volume analysis for volumetry of solid pulmonary lesions in thoracic CT scans. IEEE Trans Med Imaging 25, 417-434.
26. Zhao B, Schwartz LH, Moskowitz CS, Wang L, Ginsberg MS, Cooper CA, Jiang L, and Kalaigian JP (2005). Pulmonary metastases: effect of CT section thickness on measurement-initial experience. Radiology 234, 934-939.