Liver metastases from colorectal cancer treated with conventional and antiangiogenetic chemotherapy: Evaluation with liver computed tomography perfusion and magnetic resonance diffusion-weighted imaging

Journal of Computer Assisted Tomography

Volumn 35, Issue 6, 2011, Pages 690-696

  Anzidei, Michele ^a   Napoli, Alessandro ^a   Zaccagna, Fulvio ^a   Cartocci, Gaia ^a   Saba, Luca ^b   Menichini, Guendalina ^a   Marincola, Beatrice Cavallo ^a   Marotta, Eugenio ^a   Di Mare, Luisa ^a   Catalano, Carlo ^a   Passariello, Roberto ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b DEPARTMENT OF RADIOLOGY   (Italy)

Author keywords

antiangiogenetic drugs; CT perfusion; diffusion weighted MR imaging; liver; metastases

Indexed keywords

BLOOD; BLOOD VESSELS; CHEMOTHERAPY; COMPUTERIZED TOMOGRAPHY; HEMODYNAMICS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; PATHOLOGY; SURFACE DIFFUSION; TUMORS;

ANTIANGIOGENETIC DRUG; COMPLETE RESPONSE; CT PERFUSION; DIFFUSION WEIGHTED IMAGING; DIFFUSION-WEIGHTED MR IMAGING; FOLLOW UP; METASTASIS; MR IMAGING; PARTIAL RESPONSE; STATISTICALLY SIGNIFICANT DIFFERENCE;

DISEASES;

ANGIOGENESIS INHIBITOR; BEVACIZUMAB; CAPECITABINE; OXALIPLATIN;

ADULT; ADVANCED CANCER; AGED; ARTICLE; BLOOD VOLUME; CANCER PATIENT; CAPILLARY PERMEABILITY; CLINICAL ARTICLE; COLORECTAL CANCER; COMPUTER ASSISTED TOMOGRAPHY; DIFFUSION COEFFICIENT; DIFFUSION WEIGHTED IMAGING; FEMALE; HUMAN; LIVER METASTASIS; LIVER PERFUSION; MALE; PRIORITY JOURNAL; TREATMENT RESPONSE; TUMOR BLOOD FLOW;

EID: 81355139795     PISSN: 03638715     EISSN: 15323145     Source Type: Journal    
DOI: 10.1097/RCT.0b013e318230d905     Document Type: Article

References (32)

1. Paschos KA, Bird N. Current diagnostic and therapeutic approaches for colorectal cancer liver metastasis. Hippokratia. 2008;12:132-138. (Pubitemid 351962096)
2. Welch S, Spithoff K, Rumble RB, et al. Gastrointestinal Cancer Disease Site Group. Bevacizumab combined with chemotherapy for patients with advanced colorectal cancer: a systematic review. Ann Oncol. 2010;21:1152-1162.
3. Eisenhauer EA, Therasse P, Bogaerts J, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009;45:228-247.
4. Forner A, Ayuso C, Varela M, et al. Evaluation of tumor response after locoregional therapies in hepatocellular carcinoma: are Response Evaluation Criteria in Solid Tumors reliable? Cancer. 2009;115:616-623.
5. Goh V, Padhani AR. Imaging tumor angiogenesis: functional assessment using MDCT or MRI? Abdom Imaging. 2006;31:194-199.
6. Kierkels RG, Backes WH, Janssen MH, et al. Comparison between perfusion computed tomography and dynamic contrast-enhanced magnetic resonance imaging in rectal cancer. Int J Radiat Oncol Biol Phys. 2010;77:400-408.
7. Vandecaveye V, Dirix P, De Keyzer F, et al. Predictive value of diffusion-weighted magnetic resonance imaging during chemoradiotherapy for head and neck squamous cell carcinoma. Eur Radiol. 2010;20:1703-1714.
8. Wang J, Wu N, Cham MD, et al. Tumor response in patients with advanced nonYsmall cell lung cancer: perfusion CT evaluation of chemotherapy and radiation therapy. AJR Am J Roentgenol. 2009;193:1090-1096.
9. Fraioli F, Anzidei M, Zaccagna F, et al. Whole-tumor perfusion CT in patients with advanced lung adenocarcinoma treated with conventional and antiangiogenetic chemotherapy: initial experience. Radiology. 2011;259:574-582.
10. Goetti R, Leschka S, Desbiolles L, et al. Quantitative computed tomography liver perfusion imaging using dynamic spiral scanning with variable pitch feasibility and initial results in patients with cancer metastases. Invest Radiol. 2010;45:419-426.
11. Ippolito D, Bonaffini PA, Ratti L, et al. Hepatocellular carcinoma treated with transarterial chemoembolization: dynamic perfusion-CT in the assessment of residual tumor. World J Gastroenterol. 2010;16:5993-6000.
12. Chen G, Ma DQ, He W, et al. Computed tomography perfusion in evaluating the therapeutic effect of transarterial chemoembolization for hepatocellular carcinoma. World J Gastroenterol. 2008;14:5738-5743.
13. Park MS, Klotz E, Kim MJ, et al. Perfusion CT: noninvasive surrogate marker for stratification of pancreatic cancer response to concurrent chemo- and radiation therapy. Radiology. 2009;250:110-117.
14. Kiessling F, Boese J, Corvinus C, et al. Perfusion CT in patients with advanced bronchial carcinomas: a novel chance for characterization and treatment monitoring? Eur Radiol. 2004;14:1226-1233.
15. Ng QS, Goh V, Milner J, et al. Acute tumor vascular effects following fractionated radiotherapy in human lung cancer: in vivo whole tumor assessment using volumetric perfusion computed tomography. Int J Radiat Oncol Biol Phys. 2007;67:417-424. (Pubitemid 46108337)
16. Cui Y, Zhang XP, Sun YS, et al. Apparent diffusion coefficient: potential imaging biomarker for prediction and early detection of response to chemotherapy in hepatic metastases. Radiology. 2008;248:894-900.
17. Saddi KA, Chefdhotel C, Cheriet F. Large deformation registration of contrast-enhanced images with volume-preserving constraint. In: Pluim JPW, Reinhardt JM, eds. Proceedings of the International Society for Optical Engineering (SPIE): Medical Imaging 2007VImage Processing. Vol 6512. Bellingham, WA: SPIE; 2007:651203.
18. Taouli B, Koh DM. Diffusion-weighted MR imaging of the liver. Radiology. 2010;254:47-66.
19. Lencioni R, Llovet JM. Modified RECIST (mRECIST) assessment for hepatocellular carcinoma. Semin Liver Dis. 2010;30:52-60.
20. Graser A, Johnson TR, Chandarana H, et al. Dual energy CT: preliminary observations and potential clinical applications in the abdomen. Eur Radiol. 2009;19:13-23.
21. Fletcher JG, Takahashi N, Hartman R, et al. Dual-energy and dual-source CT: is there a role in the abdomen and pelvis? Radiol Clin North Am. 2009;47:41-57.
22. Moffat BA, Chenevert TL, Lawrence TS, et al. Functional diffusion map: a noninvasive MRI biomarker for early stratification of clinical brain tumor response. Proc Natl Acad Sci U S A. 2005;102:5524-5529. (Pubitemid 40530291)
23. Moffat BA, Hall DE, Stojanovska J, et al. Diffusion imaging for evaluation of tumor therapies in preclinical animal models. MAGMA. 2004;17:249-259. (Pubitemid 40362308)
24. Kandpal H, Sharma R, Madhusudhan KS, et al. Respiratory-triggered versus breath-hold diffusion-weighted MRI of liver lesions: comparison of image quality and apparent diffusion coefficient values. AJR Am J Roentgenol. 2009;192:915-922.
25. Kobayashi T, Hayashi T, Funabasama S, et al. Three-dimensional perfusion imaging of hepatocellular carcinoma using 256-slice multidetector-row computed tomography. Radiat Med. 2008;26:557-561.
26. Li Y, Yang ZG, Chen TW, et al. Peripheral lung carcinoma: correlation of angiogenesis and first-pass perfusion parameters of 64-detector row CT. Lung Cancer. 2008;61:44-53. (Pubitemid 351862323)
27. Ng QS, Goh V, Fichte H, et al. Lung cancer perfusion at multi-detector row CT: reproducibility of whole tumor quantitative measurements. Radiology. 2006;239:547-553.
28. Ng QS, Goh V, Klotz E, et al. Quantitative assessment of lung cancer perfusion using MDCT: does measurement reproducibility improve with greater tumor volume coverage? AJR Am J Roentgenol. 2006;187:1079-1084.
29. Goh V, Halligan S, Hugill JA, et al. Quantitative assessment of tissue perfusion using MDCT: comparison of colorectal cancer and skeletal muscle measurement reproducibility. AJR Am J Roentgenol. 2006;187:164-169. (Pubitemid 46100163)
30. Bisdas S, Surlan-Popovic K, Didanovic V, et al. Functional CT of squamous cell carcinoma in the head and neck: repeatability of tumor and muscle quantitative measurements, inter- and intra-observer agreement. Eur Radiol. 2008;18:2241-2250.
31. Koh DM, Collins DJ. Diffusion-weighted MRI in the body: applications and challenges in oncology. AJR Am J Roentgenol. 2007;188:1622-1635. (Pubitemid 46866868)
32. Lambregts DM, Maas M, Riedl RG, et al. Value of ADC measurements for nodal staging after chemoradiation in locally advanced rectal cancer-a per lesion validation study. Eur Radiol. 2011;21:265-273.