Response assessment to neoadjuvant therapy in soft tissue sarcomas: using CT texture analysis in comparison to tumor size, density, and perfusion

Abdominal Imaging

Volumn 40, Issue 6, 2015, Pages 1705-1712

  Tian, Fang ^a,b   Hayano, Koichi ^a   Kambadakone, Avinash R ^a   Sahani, Dushyant V ^a  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b SHANGHAI UNIVERSITY OF TRADITIONAL CHINESE MEDICINE   (China)

Author keywords

Computed tomography texture analysis; CT perfusion; Heterogeneity; Soft tissue sarcomas; Treatment response

Indexed keywords

BEVACIZUMAB; IOPAMIDOL; ANGIOGENESIS INHIBITOR; CONTRAST MEDIUM;

ADULT; AGED; ARTICLE; CANCER ADJUVANT THERAPY; CANCER PATIENT; CANCER RADIOTHERAPY; CANCER SIZE; CLINICAL ARTICLE; COMPUTED TOMOGRAPHY SCANNER; COMPUTED TOMOGRAPHY TEXTURE ANALYSIS; COMPUTER ASSISTED TOMOGRAPHY; DENSITY; FEMALE; HUMAN; MALE; MULTIMODALITY CANCER THERAPY; OUTCOME ASSESSMENT; PHASE 2 CLINICAL TRIAL; PRIORITY JOURNAL; SOFT TISSUE SARCOMA; TREATMENT RESPONSE; TUMOR BLOOD FLOW; TUMOR NECROSIS; CLINICAL TRIAL; CONNECTIVE TISSUE; IMAGE ENHANCEMENT; MIDDLE AGED; NEOADJUVANT THERAPY; NEOVASCULARIZATION (PATHOLOGY); PATHOLOGY; RADIOGRAPHY; RECEIVER OPERATING CHARACTERISTIC; SARCOMA; VASCULARIZATION;

ADULT; AGED; ANGIOGENESIS INHIBITORS; BEVACIZUMAB; CONNECTIVE TISSUE; CONTRAST MEDIA; FEMALE; HUMANS; MALE; MIDDLE AGED; NEOADJUVANT THERAPY; NEOVASCULARIZATION, PATHOLOGIC; RADIOGRAPHIC IMAGE ENHANCEMENT; ROC CURVE; SARCOMA; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84938973476     PISSN: 09428925     EISSN: 14320509     Source Type: Journal    
DOI: 10.1007/s00261-014-0318-3     Document Type: Article

References (34)

1. Clark MA, Fisher C, Judson I, Thomas JM (2005) Soft-tissue sarcomas in adults. N Engl J Med 353:701–711
2. Robinson E, Bleakney RR, Ferguson PC, O’Sullivan B (2008) Oncodiagnosis panel: 2007: multidisciplinary management of soft-tissue sarcoma. Radiographics 28:2069–2086
3. Eilber FC, Rosen G, Eckardt J, et al. (2001) Treatment-induced pathologic necrosis: a predictor of local recurrence and survival in patients receiving neoadjuvant therapy for high-grade extremity soft tissue sarcomas. J Clin Oncol 19:3203–3209
4. Eisenhauer EA, Therasse P, Bogaerts J, et al. (2009) New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 45:228–247
5. Goh V, Ganeshan B, Nathan P, et al. (2011) Assessment of response to tyrosine kinase inhibitors in metastatic renal cell cancer: CT texture as a predictive biomarker. Radiology 261:165–171
6. Jiang T, Kambadakone A, Kulkarni NM, Zhu AX, Sahani DV (2012) Monitoring response to antiangiogenic treatment and predicting outcomes in advanced hepatocellular carcinoma using image biomarkers, CT perfusion, tumor density, and tumor size (RECIST). Invest Radiol 47:11–17
7. Wang X, Jacobs MA, Fayad L (2011) Therapeutic response in musculoskeletal soft tissue sarcomas: evaluation by MRI. NMR Biomed 24:750–763
8. Evilevitch V, Weber WA, Tap WD, et al. (2008) Reduction of glucose metabolic activity is more accurate than change in size at predicting histopathologic response to neoadjuvant therapy in high-grade soft-tissue sarcomas. Clin Cancer Res 14:715–720
9. Ganeshan B, Miles KA, Young RC, Chatwin CR (2007) In search of biologic correlates for liver texture on portal-phase CT. Acad Radiol 14:1058–1068
10. Ng F, Ganeshan B, Kozarski R, Miles KA, Goh V (2013) Assessment of primary colorectal cancer heterogeneity by using whole-tumor texture analysis: contrast-enhanced CT texture as a biomarker of 5-year survival. Radiology 266:177–184
11. Ganeshan B, Skogen K, Pressney I, Coutroubis D, Miles K (2012) Tumour heterogeneity in oesophageal cancer assessed by CT texture analysis: preliminary evidence of an association with tumour metabolism, stage, and survival. Clin Radiol 67:157–164
12. Ganeshan B, Abaleke S, Young RC, Chatwin CR, Miles KA (2010) Texture analysis of non-small cell lung cancer on unenhanced computed tomography: initial evidence for a relationship with tumour glucose metabolism and stage. Cancer Imaging 10:137–143
13. Davnall F, Yip CS, Ljungqvist G, et al. (2012) Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? Insights Imaging 3:573–589
14. Yoon SS, Duda DG, Karl DL, et al. (2011) Phase II study of neoadjuvant bevacizumab and radiotherapy for resectable soft tissue sarcomas. Int J Radiat Oncol Biol Phys 81:1081–1090
15. Kambadakone AR, Sharma A, Catalano OA, Hahn PF, Sahani DV (2011) Protocol modifications for CT perfusion (CTp) examinations of abdomen-pelvic tumors: impact on radiation dose and data processing time. Eur Radiol 21:1293–1300
16. Hayano K, Shuto K, Koda K, et al. (2009) Quantitative measurement of blood flow using perfusion CT for assessing clinicopathologic features and prognosis in patients with rectal cancer. Dis Colon Rectum 52:1624–1629
17. Goh V, Halligan S, Wellsted DM, Bartram CI (2009) Can perfusion CT assessment of primary colorectal adenocarcinoma blood flow at staging predict for subsequent metastatic disease? A pilot study. Eur Radiol 19:79–89
18. Ganeshan B, Miles KA, Young RC, Chatwin CR (2009) Texture analysis in non-contrast enhanced CT: impact of malignancy on texture in apparently disease-free areas of the liver. Eur J Radiol 70:101–110
19. Ganeshan B, Burnand K, Young R, et al. (2011) Dynamic contrast-enhanced texture analysis of the liver initial assessment in colorectal cancer. Invest Radiol 46:160–168
20. Miles KA, Ganeshan B, Hayball MP (2013) CT texture analysis using the filtration-histogram method: what do the measurements mean? Cancer Imaging 13:400–406
21. Miles KA, Ganeshan B, Rodriguez-Justo M, et al. (2014) Multifunctional imaging signature for V-KI-RAS2 Kirsten rat sarcoma Viral oncogene homolog (KRAS) mutations in colorectal cancer. J Nucl Med 55:386–391
22. Ganeshan B, Goh V, Mandeville HC, et al. (2013) Non–small cell lung cancer: histopathologic correlates for texture parameters at CT. Radiology 266:326–336
23. Kim CK, Lim JH, Park CK, et al. (2005) Neoangiogenesis and sinusoidal capillarization in hepatocellular carcinoma: correlation between dynamic CT and density of tumor microvessels. Radiology 237:529–534
24. Shah D, Borys D, Martinez SR, et al. (2012) Complete pathologic response to neoadjuvant radiotherapy is predictive of oncological outcome in patients with soft tissue sarcoma. Anticancer Res 32:3911–3916
25. Benz MR, Czernin J, Allen-Auerbach MS, et al. (2009) FDG-PET/CT imaging predicts histopathologic treatment responses after the initial cycle of neoadjuvant chemotherapy in high-grade soft-tissue sarcomas. Clin Cancer Res 15:2856–2863
26. Stacchiotti S, Collini P, Messina A, et al. (2009) High-grade soft-tissue sarcomas: tumor response assessment—pilot study to assess the correlation between radiologic and pathologic response by using RECIST and Choi criteria. Radiology 251:447–456
27. Zhang H, Graham CM, Elci O, et al. (2013) Locally advanced squamous cell carcinoma of the head and neck: CT texture and histogram analysis allow independent prediction of overall survival in patients treated with induction chemotherapy. Radiology 269:801–809
28. Bellomi M, Petralia G, Sonzogni A, Zampino MG, Rocca A (2007) CT perfusion for the monitoring of neoadjuvant chemotherapy and radiation therapy in rectal carcinoma: initial experience. Radiology 244:486–493
29. Reiner CS, Roessle M, Thiesler T, et al. (2013) Computed tomography perfusion imaging of renal cell carcinoma. Invest Radiol 48:183–191
30. Ganeshan B, Panayiotou E, Burnand K, Dizdarevic S, Miles K (2012) Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival. Eur Radiol 22:796–802
31. Assignies GD, Couvelard A, Bahrami S, et al. (2009) Pancreatic endocrine tumors: tumor blood flow assessed with perfusion CT reflects angiogenesis and correlates with prognostic factors. Radiology 250:407–416
32. West CC, Brown NJ, Mangham DC, Grimer RJ, Reed MW (2005) Microvessel density does not predict outcome in high grade soft tissue sarcoma. Eur J Surg Oncol. 31:1198–1205
33. Ravanelli M, Farina D, Morassi M, et al. (2013) Texture analysis of advanced non-small cell lung cancer (NSCLC) on contrast-enhanced computed tomography: prediction of the response to the first-line chemotherapy. Eur Radiol 23:3450–3455
34. Yip C, Landau D, Kozarski R, et al. (2014) Primary esophageal cancer: heterogeneity as potential prognostic biomarker in patients treated with definitive chemotherapy and radiation therapy. Radiology 270:141–148