On some misconceptions about tumor heterogeneity quantification

European Journal of Nuclear Medicine and Molecular Imaging

Volumn 40, Issue 8, 2013, Pages 1292-1294

  Brooks, Frank J ^a  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FLUORODEOXYGLUCOSE F 18;

CANCER CELL; CANCER CELL POPULATION HETEROGENEITY; HISTOGRAM; HYPOXIA; IMAGE ANALYSIS; LETTER; METABOLISM; NECROSIS; NEOVASCULARIZATION (PATHOLOGY); POSITRON EMISSION TOMOGRAPHY; RADIOLOGICAL PARAMETERS; TUMOR CLASSIFICATION; TUMOR VASCULARIZATION;

HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NEOPLASMS; POSITRON-EMISSION TOMOGRAPHY;

EID: 84879934752     PISSN: 16197070     EISSN: 16197089     Source Type: Journal    
DOI: 10.1007/s00259-013-2430-y     Document Type: Letter

References (10)

1. Heppner GH. Tumor heterogeneity. Cancer Res. 1984;44(6):2259-65.
2. Asselin MC, O'Connor JP, Boellaard R, Thacker NA, Jackson A. Quantifying heterogeneity in human tumours using MRI and PET. Eur J Cancer. 2012;48(4):447-55.
3. Chicklore S, Goh V, Siddique M, Roy A, Marsden PK, Cook GJ. Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis. Eur J Nucl Med Mol Imaging. 2013;40:133-40. doi: 10.1007/s00259-012-2247-0.
4. El Naqa I, Grigsby P, Apte A, Kidd E, Donnelly E, Khullar D, et al. Exploring feature-based approaches in PET images for predicting cancer treatment outcomes. Pattern Recognit. 2009;42(6):1162-71.
5. Tixier F, Le Rest CC, Hatt M, Albarghach N, Pradier O, Metges J-P, et al. Intratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer. J Nucl Med. 2011;52(3):369-78.
6. Yang F, Thomas MA, Dehdashti F, Grigsby PW. Temporal analysis of intratumoral metabolic heterogeneity characterized by textural features in cervical cancer. Eur J Nucl Med Mol Imaging. 2013;40(5):716-27.
7. Haralick RM, Shanmugam K, Dinstein I. Textural features for image classification. IEEE Trans Syst Man Cybern. 1973;3:610-21.
8. Haidekker MA. Advanced biomedical image analysis. 1st ed. Hoboken: Wiley; 2011.
9. Wahl RL, Herman JM, Ford E. The promise and pitfalls of positron emission tomography and single-photon emission computed tomography molecular imaging-guided radiation therapy. Semin Radiat Oncol. 2011;21(2):88-100.
10. Erlandsson K, Buvat I, Pretorius PH, Thomas BA, Hutton BF. A review of partial volume correction techniques for emission tomography and their applications in neurology, cardiology and oncology. Phys Med Biol. 2012;57:R119-59.