Primary esophageal cancer: Heterogeneity as potential prognostic biomarker in patients treated with definitive chemotherapy and radiation therapy

Radiology

Volumn 270, Issue 1, 2014, Pages 141-148

  Yip, Connie ^a   Landau, David ^a   Kozarski, Robert ^b   Ganeshan, Balaji ^c   Thomas, Robert ^a   Michaelidou, Andriana ^a   Goh, Vicky ^a,d  

^a GUY'S AND ST THOMAS' NHS FOUNDATION TRUST   (United Kingdom)

^b UNIVERSITY OF HERTFORDSHIRE   (United Kingdom)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

^d KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CISPLATIN; FLUOROURACIL;

ADULT; AGED; ARTICLE; CANCER CHEMOTHERAPY; CANCER MORPHOLOGY; CANCER PROGNOSIS; CANCER RADIOTHERAPY; CANCER SIZE; CANCER STAGING; CANCER SURVIVAL; CLINICAL ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE MARKER; ENTROPY; ESOPHAGUS CANCER; FEMALE; GRAY MATTER; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MALE; MIDDLE AGED; MULTIPLE CYCLE TREATMENT; OVERALL SURVIVAL; PRIORITY JOURNAL; RADIATION DOSE DISTRIBUTION; RECEIVER OPERATING CHARACTERISTIC; SURVIVAL TIME;

AGED; AGED, 80 AND OVER; COMBINED MODALITY THERAPY; CONTRAST MEDIA; ESOPHAGEAL NEOPLASMS; FEMALE; HUMANS; MALE; MIDDLE AGED; NEOPLASM GRADING; NEOPLASM STAGING; PROGNOSIS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOTHERAPY DOSAGE; RETROSPECTIVE STUDIES; SOFTWARE; SURVIVAL RATE; TOMOGRAPHY, X-RAY COMPUTED; TREATMENT OUTCOME; TUMOR MARKERS, BIOLOGICAL;

EID: 84891122584     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.13122869     Document Type: Article

References (24)

1. Siegel R, Naishadham D, Jemal A. Cancer statistics, 2012. CA Cancer J Clin 2012;62(1): 10-29.
2. Palser T, Cromwell D, Van der Meulen J, et al. The National Oesophago-Gastric Cancer Audit. An audit of the care received by people with oesophago-gastric cancer in England and Wales. Third Annual Report 2010. London, England: NHS Information Centre, 2010.
3. Bosset JF, Gignoux M, Triboulet JP, et al. Chemoradiotherapy followed by surgery compared with surgery alone in squamous-cell cancer of the esophagus. N Engl J Med 1997; 337(3):161-167.
4. Stahl M, Stuschke M, Lehmann N, et al. Chemoradiation with and without surgery in patients with locally advanced squamous cell carcinoma of the esophagus. J Clin Oncol 2005;23(10):2310-2317.
5. Walsh TN, Noonan N, Hollywood D, Kelly A, Keeling N, Hennessy TP. A comparison of multimodal therapy and surgery for esophageal adenocarcinoma. N Engl J Med 1996; 335(7):462-467.
6. Borghesi S, Hawkins MA, Tait D. Oesophagectomy after definitive chemoradiation in patients with locally advanced oesophageal cancer. Clin Oncol (R Coll Radiol) 2008;20(3): 221-226.
7. D'Journo XB, Michelet P, Dahan L, et al. Indications and outcome of salvage surgery for oesophageal cancer. Eur J Cardiothorac Surg 2008;33(6):1117-1123.
8. Duda DG, Jain RK, Willett CG. Antiangiogenics: the potential role of integrating this novel treatment modality with chemoradiation for solid cancers. J Clin Oncol 2007;25(26): 4033-4042.
9. Lambin P, Rios-Velazquez E, Leijenaar R, et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer 2012;48(4):441-446.
10. Ganeshan B, Miles KA, Young RC, Chatwin CR. Texture analysis in non-contrast enhanced CT: impact of malignancy on texture in apparently disease-free areas of the liver. Eur J Radiol 2009;70(1):101-110.
11. Castellano G, Bonilha L, Li LM, Cendes F. Texture analysis of medical images. Clin Radiol 2004;59(12):1061-1069.
12. Tuceryan M, Jain AK. Texture analysis. In: Chen CH, Pau LF, Wang PS, eds. The handbook of pattern recognition and computer vision. 2nd ed. Singapore: World Scientific Publishing, 1998; 207-248.
13. Ganeshan B, Panayiotou E, Burnand K, Dizdarevic S, Miles K. Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival. Eur Radiol 2012;22(4):796-802.
14. Cui C, Cai H, Liu L, Li L, Tian H, Li L. Quantitative analysis and prediction of regional lymph node status in rectal cancer based on computed tomography imaging. Eur Radiol 2011;21(11):2318-2325.
15. Goh V, Ganeshan B, Nathan P, Juttla JK, Vinayan A, Miles KA. Assessment of response to tyrosine kinase inhibitors in metastatic renal cell cancer: CT texture as a predictive biomarker. Radiology 2011;261(1):165-171.
16. American Joint Committee on Cancer. AJCC cancer staging manual. 7th ed. New York, NY: Springer Science, 2009.
17. Ganeshan B, Skogen K, Pressney I, Coutroubis D, Miles K. Tumour heterogeneity in oesophageal cancer assessed by CT texture analysis: preliminary evidence of an association with tumour metabolism, stage, and survival. Clin Radiol 2012;67(2):157-164.
18. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988;44(3):837-845.
19. Holm S. A simple sequentially rejective multiple test procedure. Scand J Stat 1979;6(2): 65-70.
20. Aickin M, Gensler H. Adjusting for multiple testing when reporting research results: the Bonferroni vs Holm methods. Am J Public Health 1996;86(5):726-728.
21. Jones DR, Parker LA Jr, Detterbeck FC, Egan TM. Inadequacy of computed tomography in assessing patients with esophageal carcinoma after induction chemoradiotherapy. Cancer 1999;85(5):1026-1032.
22. van Heijl M, Phoa SS, van Berge Henegouwen MI, et al. Accuracy and reproducibility of 3D-CT measurements for early response assessment of chemoradiotherapy in patients with oesophageal cancer. Eur J Surg Oncol 2011;37(12):1064-1071.
23. Li SH, Rau KM, Lu HI, et al. Pre-treatment maximal oesophageal wall thickness is independently associated with response to chemoradiotherapy in patients with T3-4 oesophageal squamous cell carcinoma. Eur J Cardiothorac Surg 2012;42(6):958-964.
24. Miles KA, Ganeshan B, Griffiths MR, Young RC, Chatwin CR. Colorectal cancer: texture analysis of portal phase hepatic CT images as a potential marker of survival. Radiology 2009;250(2):444-452.