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Volumn 56, Issue 11, 2015, Pages 1642-1644

Tumor texture analysis in PET: Where do we stand?

Author keywords

[No Author keywords available]

Indexed keywords

CANCER DIAGNOSIS; ENTROPY; ESOPHAGUS CANCER; HISTOGRAM; HUMAN; IMAGE ANALYSIS; MEDICAL LITERATURE; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; PUBLISHING; REVIEW; STANDARDIZATION; TUMOR BIOPSY; TUMOR CELL; FEMALE; IMAGE PROCESSING; MALE; PROCEDURES;

EID: 84946615253     PISSN: 01615505     EISSN: 2159662X     Source Type: Journal    
DOI: 10.2967/jnumed.115.163469     Document Type: Review
Times cited : (91)

References (19)
  • 1
    • 75549083303 scopus 로고    scopus 로고
    • Tumor heterogeneity: Causes and consequences
    • Marusyk A, Polyak K. Tumor heterogeneity: causes and consequences. Biochim Biophys Acta. 2010;1805:105-117.
    • (2010) Biochim Biophys Acta , vol.1805 , pp. 105-117
    • Marusyk, A.1    Polyak, K.2
  • 2
    • 84863393080 scopus 로고    scopus 로고
    • Intratumor heterogeneity and branched evolution revealed by multiregion sequencing
    • Gerlinger M, Rowan AJ, Horswell S, et al. Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. N Engl J Med. 2012;366:883-892.
    • (2012) N Engl J Med. , vol.366 , pp. 883-892
    • Gerlinger, M.1    Rowan, A.J.2    Horswell, S.3
  • 3
    • 84908191509 scopus 로고    scopus 로고
    • Quantification of heterogeneity as a biomarker in tumor imaging: A systematic review
    • Alic L, Niessen WJ, Veenland JF. Quantification of heterogeneity as a biomarker in tumor imaging: a systematic review. PLoS One. 2014;9:e110300.
    • (2014) PLoS One , vol.9
    • Alic, L.1    Niessen, W.J.2    Veenland, J.F.3
  • 4
    • 59149105325 scopus 로고    scopus 로고
    • Exploring feature-based approaches in PET images for predicting cancer treatment outcomes
    • El Naqa I, Grigsby P, Apte A, et al. Exploring feature-based approaches in PET images for predicting cancer treatment outcomes. Pattern Recognit. 2009;42:1162-1171.
    • (2009) Pattern Recognit. , vol.42 , pp. 1162-1171
    • El Naqa, I.1    Grigsby, P.2    Apte, A.3
  • 7
    • 79952788113 scopus 로고    scopus 로고
    • 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer
    • 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer. J Nucl Med. 2011;52:369-378.
    • (2011) J Nucl Med. , vol.52 , pp. 369-378
    • Tixier, F.1    Cheze Le Rest, C.2    Hatt, M.3
  • 8
    • 84860776116 scopus 로고    scopus 로고
    • Reproducibility of tumor uptake heterogeneity characterization through textural feature analysis in 18f-FDG PET
    • Tixier F, Hatt M, Le Rest C, Le Pogam A, Corcos L, Visvikis D. Reproducibility of tumor uptake heterogeneity characterization through textural feature analysis in 18f-FDG PET. J Nucl Med. 2012;53:693-700.
    • (2012) J Nucl Med. , vol.53 , pp. 693-700
    • Tixier, F.1    Hatt, M.2    Le Rest, C.3    Le Pogam, A.4    Corcos, L.5    Visvikis, D.6
  • 9
    • 84903171026 scopus 로고    scopus 로고
    • Correlation of intra-tumor 18f-FDG uptake heterogeneity indices with perfusion CT derived parameters in colorectal cancer
    • Tixier F, Groves AM, Goh V, et al. Correlation of intra-tumor 18f-FDG uptake heterogeneity indices with perfusion CT derived parameters in colorectal cancer. PLoS One. 2014;9:e99567.
    • (2014) PLoS One , vol.9
    • Tixier, F.1    Groves, A.M.2    Goh, V.3
  • 11
    • 84946570299 scopus 로고    scopus 로고
    • Impact of image reconstruction settings on texture features in 18F-FDG PET?
    • Yan J, Chu-Shern JL, Loi HY, et al. Impact of image reconstruction settings on texture features in 18F-FDG PET? J Nucl Med. 2015;56:1667-1673.
    • (2015) J Nucl Med. , vol.56 , pp. 1667-1673
    • Yan, J.1    Chu-Shern, J.L.2    Loi, H.Y.3
  • 12
    • 77956565862 scopus 로고    scopus 로고
    • Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters
    • Galavis PE, Hollensen C, Jallow N, Paliwal B, Jeraj R. Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters. Acta Oncol. 2010;49:1012-1016.
    • (2010) Acta Oncol. , vol.49 , pp. 1012-1016
    • Galavis, P.E.1    Hollensen, C.2    Jallow, N.3    Paliwal, B.4    Jeraj, R.5
  • 13
    • 84899486643 scopus 로고    scopus 로고
    • 18F-FDG PET: Relationships between texture parameters, histogram indices, standardized uptake values, metabolic volumes, and total lesion glycolysis
    • 18F-FDG PET: relationships between texture parameters, histogram indices, standardized uptake values, metabolic volumes, and total lesion glycolysis. J Nucl Med. 2014;55:414-422.
    • (2014) J Nucl Med. , vol.55 , pp. 414-422
    • Orlhac, F.1    Soussan, M.2    Maisonobe, J.-A.3    Garcia, C.A.4    Vanderlinden, B.5    Buvat, I.6
  • 15
    • 84884562832 scopus 로고    scopus 로고
    • Stability of FDG-PET radiomics features: An integrated analysis of test-retest and inter-observer variability
    • Leijenaar RTH, Carvalho S, Velazquez ER, et al. Stability of FDG-PET radiomics features: an integrated analysis of test-retest and inter-observer variability. Acta Oncol. 2013;52:1391-1397.
    • (2013) Acta Oncol. , vol.52 , pp. 1391-1397
    • Leijenaar, R.T.H.1    Carvalho, S.2    Velazquez, E.R.3
  • 16
    • 84894815316 scopus 로고    scopus 로고
    • The effect of small tumor volumes on studies of intratumoral heterogeneity of tracer uptake
    • Brooks FJ, Grigsby PW. The effect of small tumor volumes on studies of intratumoral heterogeneity of tracer uptake. J Nucl Med. 2014;55:37-42.
    • (2014) J Nucl Med. , vol.55 , pp. 37-42
    • Brooks, F.J.1    Grigsby, P.W.2
  • 19
    • 84929120576 scopus 로고    scopus 로고
    • False discovery rates in PET and CT studies with texture features: A systematic review
    • Chalkidou A, O'Doherty MJ, Marsden PK. False discovery rates in PET and CT studies with texture features: a systematic review. PLoS One. 2015;10: e0124165.
    • (2015) PLoS One , vol.10
    • Chalkidou, A.1    O'Doherty, M.J.2    Marsden, P.K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.