메뉴 건너뛰기




Volumn 75, Issue 2, 2009, Pages 506-511

Artificial Neural Networks for Prediction of Response to Chemoradiation in HT29 Xenografts

Author keywords

ADC; BPNN; DWMRI; Prediction; Treatment response

Indexed keywords

ADC; BPNN; DWMRI; PREDICTION; TREATMENT RESPONSE;

EID: 69549124173     PISSN: 03603016     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijrobp.2009.05.036     Document Type: Article
Times cited : (5)

References (27)
  • 1
    • 34249007448 scopus 로고    scopus 로고
    • Early changes in apparent diffusion coefficient predict the quantitative antitumoral activity of capecitabine, oxaliplatin, and irradiation in HT29 xenografts in athymic nude mice
    • Seierstad T., Folkvord S., Roe K., et al. Early changes in apparent diffusion coefficient predict the quantitative antitumoral activity of capecitabine, oxaliplatin, and irradiation in HT29 xenografts in athymic nude mice. Neoplasia 9 (2007) 392-400
    • (2007) Neoplasia , vol.9 , pp. 392-400
    • Seierstad, T.1    Folkvord, S.2    Roe, K.3
  • 2
    • 0037367362 scopus 로고    scopus 로고
    • Basic principles of diffusion-weighted imaging
    • Bammer R. Basic principles of diffusion-weighted imaging. Eur J Radiol 45 (2003) 169-184
    • (2003) Eur J Radiol , vol.45 , pp. 169-184
    • Bammer, R.1
  • 3
    • 11144327122 scopus 로고    scopus 로고
    • Changes in water mobility measured by diffusion MRI predict response of metastatic breast cancer to chemotherapy
    • Theilmann R.J., Borders R., Trouard T.P., et al. Changes in water mobility measured by diffusion MRI predict response of metastatic breast cancer to chemotherapy. Neoplasia 6 (2004) 831-837
    • (2004) Neoplasia , vol.6 , pp. 831-837
    • Theilmann, R.J.1    Borders, R.2    Trouard, T.P.3
  • 4
    • 55649111574 scopus 로고    scopus 로고
    • Diffusion-weighted magnetic resonance imaging in the early detection of response to chemoradiation in cervical cancer
    • Harry V.N., Semple S.I., Gilbert F.J., et al. Diffusion-weighted magnetic resonance imaging in the early detection of response to chemoradiation in cervical cancer. Gynecol Oncol 111 2 (2008) 213-220
    • (2008) Gynecol Oncol , vol.111 , Issue.2 , pp. 213-220
    • Harry, V.N.1    Semple, S.I.2    Gilbert, F.J.3
  • 5
    • 51549112352 scopus 로고    scopus 로고
    • Apparent diffusion coefficient: Potential imaging biomarker for prediction and early detection of response to chemotherapy in hepatic metastases
    • Cui Y., Zhang X.P., Sun Y.S., et al. Apparent diffusion coefficient: Potential imaging biomarker for prediction and early detection of response to chemotherapy in hepatic metastases. Radiology 248 (2008) 894-900
    • (2008) Radiology , vol.248 , pp. 894-900
    • Cui, Y.1    Zhang, X.P.2    Sun, Y.S.3
  • 6
    • 20244364105 scopus 로고    scopus 로고
    • Functional diffusion map: A noninvasive MRI biomarker for early stratification of clinical brain tumor response
    • Moffat B.A., Chenevert T.L., Lawrence T.S., et al. Functional diffusion map: A noninvasive MRI biomarker for early stratification of clinical brain tumor response. Proc Natl Acad Sci USA 102 (2005) 5524-5529
    • (2005) Proc Natl Acad Sci USA , vol.102 , pp. 5524-5529
    • Moffat, B.A.1    Chenevert, T.L.2    Lawrence, T.S.3
  • 7
    • 25444523799 scopus 로고    scopus 로고
    • Respiratory motion prediction by using the adaptive neuro fuzzy inference system
    • Kakar M., Nystrøm H., Aarup L.R., et al. Respiratory motion prediction by using the adaptive neuro fuzzy inference system. Phys Med Biol 50 (2005) 4721-4728
    • (2005) Phys Med Biol , vol.50 , pp. 4721-4728
    • Kakar, M.1    Nystrøm, H.2    Aarup, L.R.3
  • 10
    • 46749125077 scopus 로고    scopus 로고
    • Performance evaluation of radiologists with artificial neural network for differential diagnosis of intra-axial cerebral tumors on MR images
    • Yamashita K., Yoshiura T., Arimura H., et al. Performance evaluation of radiologists with artificial neural network for differential diagnosis of intra-axial cerebral tumors on MR images. AJNR Am J Neuroradiol 29 (2008) 1153-1158
    • (2008) AJNR Am J Neuroradiol , vol.29 , pp. 1153-1158
    • Yamashita, K.1    Yoshiura, T.2    Arimura, H.3
  • 11
    • 0024171514 scopus 로고
    • Artificial neural nets as tools for expert systems in objective histopathology
    • Dytch H.E., Wied G.L., and Bibbo M. Artificial neural nets as tools for expert systems in objective histopathology. Proc Ann Int Conf IEEE in EMBS 3 (1988) 1375-1376
    • (1988) Proc Ann Int Conf IEEE in EMBS , vol.3 , pp. 1375-1376
    • Dytch, H.E.1    Wied, G.L.2    Bibbo, M.3
  • 12
    • 0031238401 scopus 로고    scopus 로고
    • Use of an artificial neural network to analyse an ECG with QS complex in V1_2 leads
    • Ouyang N., Ikeda M., and Yamauchi K. Use of an artificial neural network to analyse an ECG with QS complex in V1_2 leads. Med Biol Eng Comput 35 (1997) 556-560
    • (1997) Med Biol Eng Comput , vol.35 , pp. 556-560
    • Ouyang, N.1    Ikeda, M.2    Yamauchi, K.3
  • 13
    • 0030219951 scopus 로고    scopus 로고
    • Detection of seizure activity in EEG by an artificial neural network: A preliminary study
    • Pradhan N., Sadasivan P.K., and Arunodaya G.R. Detection of seizure activity in EEG by an artificial neural network: A preliminary study. Comput Biomed Res 29 (1996) 303-313
    • (1996) Comput Biomed Res , vol.29 , pp. 303-313
    • Pradhan, N.1    Sadasivan, P.K.2    Arunodaya, G.R.3
  • 14
    • 33745403774 scopus 로고    scopus 로고
    • A neural network model for reconstructing EMG signals from eight shoulder muscles: Consequences for rehabilitation robotics and biofeedback
    • Rittenhouse D.M., Abdullah H.A., Runciman R.J., et al. A neural network model for reconstructing EMG signals from eight shoulder muscles: Consequences for rehabilitation robotics and biofeedback. J Biomech 39 (2006) 1924-1932
    • (2006) J Biomech , vol.39 , pp. 1924-1932
    • Rittenhouse, D.M.1    Abdullah, H.A.2    Runciman, R.J.3
  • 15
    • 0030729353 scopus 로고    scopus 로고
    • Neural networks for the analysis of small pulmonary nodules
    • Henschke C.I., Yankelevitz D.F., Mateescu I., et al. Neural networks for the analysis of small pulmonary nodules. Clin Imaging 21 (1997) 390-399
    • (1997) Clin Imaging , vol.21 , pp. 390-399
    • Henschke, C.I.1    Yankelevitz, D.F.2    Mateescu, I.3
  • 16
    • 26844479149 scopus 로고    scopus 로고
    • Artificial neural networks for diagnosis and survival prediction in colon cancer
    • Ahmed F.E. Artificial neural networks for diagnosis and survival prediction in colon cancer. Mol Cancer 4 (2005) 29
    • (2005) Mol Cancer , vol.4 , pp. 29
    • Ahmed, F.E.1
  • 17
    • 0028019225 scopus 로고
    • Survival analysis of censored data: Neural network analysis detection of complex interactions between variables
    • De Laurentiis M., and Ravdin P.M. Survival analysis of censored data: Neural network analysis detection of complex interactions between variables. Breast Cancer Res Treat 32 (1994) 113-118
    • (1994) Breast Cancer Res Treat , vol.32 , pp. 113-118
    • De Laurentiis, M.1    Ravdin, P.M.2
  • 18
    • 1842527859 scopus 로고    scopus 로고
    • Use of artificial neural networks to predict biological outcomes for patients receiving radical radiotherapy of the prostate
    • Gulliford S.L., Webb S., Rowbottom C.G., et al. Use of artificial neural networks to predict biological outcomes for patients receiving radical radiotherapy of the prostate. Radiother Oncol 71 (2004) 3-12
    • (2004) Radiother Oncol , vol.71 , pp. 3-12
    • Gulliford, S.L.1    Webb, S.2    Rowbottom, C.G.3
  • 19
    • 33745108811 scopus 로고    scopus 로고
    • An artificial neural network improves prediction of observed survival in patients with laryngeal squamous carcinoma
    • Jones A.S., Taktak A.G.F., Helliwell T.R., et al. An artificial neural network improves prediction of observed survival in patients with laryngeal squamous carcinoma. Eur Arch Otorhinolaryngol 263 (2006) 541-547
    • (2006) Eur Arch Otorhinolaryngol , vol.263 , pp. 541-547
    • Jones, A.S.1    Taktak, A.G.F.2    Helliwell, T.R.3
  • 20
    • 0030743761 scopus 로고    scopus 로고
    • Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions
    • Bottaci L., Drew P.J., Hartley J.E., et al. Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions. Lancet 350 (1997) 469-472
    • (1997) Lancet , vol.350 , pp. 469-472
    • Bottaci, L.1    Drew, P.J.2    Hartley, J.E.3
  • 23
    • 35848951398 scopus 로고    scopus 로고
    • Construction of a modified capacitive overlap MR coil for imaging of small animals and objects in a clinical whole-body scanner
    • Seierstad T., Roe K., and Hovik B. Construction of a modified capacitive overlap MR coil for imaging of small animals and objects in a clinical whole-body scanner. Phys Med Biol 52 (2007) N513-N522
    • (2007) Phys Med Biol , vol.52
    • Seierstad, T.1    Roe, K.2    Hovik, B.3
  • 24
    • 0023678634 scopus 로고
    • Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging
    • Le Bihan D., Breton E., Lallemand D., et al. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 168 (1988) 497-505
    • (1988) Radiology , vol.168 , pp. 497-505
    • Le Bihan, D.1    Breton, E.2    Lallemand, D.3
  • 25
    • 0001942829 scopus 로고
    • Neural networks and the bias/variance dilemma
    • Geman S., Bienenstock E., and Doursat R. Neural networks and the bias/variance dilemma. Neural Comput 4 (1992) 1-58
    • (1992) Neural Comput , vol.4 , pp. 1-58
    • Geman, S.1    Bienenstock, E.2    Doursat, R.3
  • 26
    • 4143151590 scopus 로고    scopus 로고
    • High-b-value diffusion-weighted MR imaging for pretreatment prediction and early monitoring of tumor response to therapy in mice
    • Roth Y., Tichler T., Kostenich G., et al. High-b-value diffusion-weighted MR imaging for pretreatment prediction and early monitoring of tumor response to therapy in mice. Radiology 232 (2004) 685-692
    • (2004) Radiology , vol.232 , pp. 685-692
    • Roth, Y.1    Tichler, T.2    Kostenich, G.3
  • 27
    • 23844481161 scopus 로고    scopus 로고
    • Early prediction of response to chemotherapy in metastatic breast cancer using sequential 18F-FDG PET
    • Dose Schwarz J., Bader M., Jenicke L., et al. Early prediction of response to chemotherapy in metastatic breast cancer using sequential 18F-FDG PET. J Nucl Med 46 (2005) 1144-1150
    • (2005) J Nucl Med , vol.46 , pp. 1144-1150
    • Dose Schwarz, J.1    Bader, M.2    Jenicke, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.