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Items: 1 to 20 of 101

1.

Prediction of radiotherapy outcome using dynamic contrast enhanced MRI of carcinoma of the cervix.

Loncaster JA, Carrington BM, Sykes JR, Jones AP, Todd SM, Cooper R, Buckley DL, Davidson SE, Logue JP, Hunter RD, West CM.

Int J Radiat Oncol Biol Phys. 2002 Nov 1;54(3):759-67.

PMID:
12377328
2.

Tumour oxygenation levels correlate with dynamic contrast-enhanced magnetic resonance imaging parameters in carcinoma of the cervix.

Cooper RA, Carrington BM, Loncaster JA, Todd SM, Davidson SE, Logue JP, Luthra AD, Jones AP, Stratford I, Hunter RD, West CM.

Radiother Oncol. 2000 Oct;57(1):53-9.

PMID:
11033189
3.

Prediction of tumor control in patients with cervical cancer: analysis of combined volume and dynamic enhancement pattern by MR imaging.

Mayr NA, Yuh WT, Zheng J, Ehrhardt JC, Magnotta VA, Sorosky JI, Pelsang RE, Oberley LW, Hussey DH.

AJR Am J Roentgenol. 1998 Jan;170(1):177-82.

PMID:
9423627
4.

Semiquantitative and quantitative dynamic contrast-enhanced magnetic resonance imaging measurements predict radiation response in cervix cancer.

Zahra MA, Tan LT, Priest AN, Graves MJ, Arends M, Crawford RA, Brenton JD, Lomas DJ, Sala E.

Int J Radiat Oncol Biol Phys. 2009 Jul 1;74(3):766-73. doi: 10.1016/j.ijrobp.2008.08.023. Epub 2008 Nov 18.

PMID:
19019563
5.

Oxygenation predicts radiation response and survival in patients with cervix cancer.

Fyles AW, Milosevic M, Wong R, Kavanagh MC, Pintilie M, Sun A, Chapman W, Levin W, Manchul L, Keane TJ, Hill RP.

Radiother Oncol. 1998 Aug;48(2):149-56. Erratum in: Radiother Oncol 1999 Mar;50(3):371.

PMID:
9783886
6.

Oxygenation status of cervical carcinomas before and during spinal anesthesia for application of brachytherapy.

Weitmann HD, Gustorff B, Vaupel P, Knocke TH, Pötter R.

Strahlenther Onkol. 2003 Sep;179(9):633-40.

PMID:
14628130
7.

A combined pharmacokinetic and radiologic assessment of dynamic contrast-enhanced magnetic resonance imaging predicts response to chemoradiation in locally advanced cervical cancer.

Semple SI, Harry VN, Parkin DE, Gilbert FJ.

Int J Radiat Oncol Biol Phys. 2009 Oct 1;75(2):611-7. doi: 10.1016/j.ijrobp.2009.04.069.

PMID:
19735887
8.

Pharmacokinetic analysis of DCE-MRI data of locally advanced cervical carcinoma with the Brix model.

Lund KV, Simonsen TG, Kristensen GB, Rofstad EK.

Acta Oncol. 2019 Jun;58(6):828-837. doi: 10.1080/0284186X.2019.1580386. Epub 2019 Feb 27.

PMID:
30810443
9.

Interrelationship of proliferation and hypoxia in carcinoma of the cervix.

Tsang RW, Fyles AW, Milosevic M, Syed A, Pintilie M, Levin W, Manchul LA.

Int J Radiat Oncol Biol Phys. 2000 Jan 1;46(1):95-9.

PMID:
10656379
10.

Dynamic contrast-enhanced MRI of cervical cancers: temporal percentile screening of contrast enhancement identifies parameters for prediction of chemoradioresistance.

Andersen EK, Hole KH, Lund KV, Sundfør K, Kristensen GB, Lyng H, Malinen E.

Int J Radiat Oncol Biol Phys. 2012 Mar 1;82(3):e485-92. doi: 10.1016/j.ijrobp.2011.05.050. Epub 2011 Oct 17.

PMID:
22014954
11.

Oxygenation of cervical cancers during radiotherapy and radiotherapy + cis-retinoic acid/interferon.

Dunst J, Hänsgen G, Lautenschläger C, Füchsel G, Becker A.

Int J Radiat Oncol Biol Phys. 1999 Jan 15;43(2):367-73.

PMID:
10030263
12.

Estimating hypoxic status in human tumors: a simulation using Eppendorf oxygen probe data in cervical cancer patients.

Doll CM, Milosevic M, Pintilie M, Hill RP, Fyles AW.

Int J Radiat Oncol Biol Phys. 2003 Apr 1;55(5):1239-46.

PMID:
12654433
14.
15.

Uterine cervical carcinoma: comparison of standard and pharmacokinetic analysis of time-intensity curves for assessment of tumor angiogenesis and patient survival.

Hawighorst H, Knapstein PG, Knopp MV, Weikel W, Brix G, Zuna I, Schönberg SO, Essig M, Vaupel P, van Kaick G.

Cancer Res. 1998 Aug 15;58(16):3598-602.

16.

Method and timing of tumor volume measurement for outcome prediction in cervical cancer using magnetic resonance imaging.

Mayr NA, Taoka T, Yuh WT, Denning LM, Zhen WK, Paulino AC, Gaston RC, Sorosky JI, Meeks SL, Walker JL, Mannel RS, Buatti JM.

Int J Radiat Oncol Biol Phys. 2002 Jan 1;52(1):14-22.

PMID:
11777618
17.

Anemia in cervical cancers: impact on survival, patterns of relapse, and association with hypoxia and angiogenesis.

Dunst J, Kuhnt T, Strauss HG, Krause U, Pelz T, Koelbl H, Haensgen G.

Int J Radiat Oncol Biol Phys. 2003 Jul 1;56(3):778-87.

PMID:
12788185
18.

Impact of histological subtype on survival in patients with locally advanced cervical cancer that were treated with definitive radiotherapy: adenocarcinoma/adenosquamous carcinoma versus squamous cell carcinoma.

Yokoi E, Mabuchi S, Takahashi R, Matsumoto Y, Kuroda H, Kozasa K, Kimura T.

J Gynecol Oncol. 2017 Mar;28(2):e19. doi: 10.3802/jgo.2017.28.e19. Epub 2016 Dec 8.

19.

Differential clinical characteristics, treatment response and prognosis of locally advanced adenocarcinoma/adenosquamous carcinoma and squamous cell carcinoma of cervix treated with definitive radiotherapy.

Chen JL, Huang CY, Huang YS, Chen RJ, Wang CW, Chen YH, Cheng JC, Cheng AL, Kuo SH.

Acta Obstet Gynecol Scand. 2014 Jul;93(7):661-8. doi: 10.1111/aogs.12383. Epub 2014 Apr 22.

PMID:
24666257
20.

Pharmacokinetic parameters derived from dynamic contrast enhanced MRI of cervical cancers predict chemoradiotherapy outcome.

Andersen EK, Hole KH, Lund KV, Sundfør K, Kristensen GB, Lyng H, Malinen E.

Radiother Oncol. 2013 Apr;107(1):117-22. doi: 10.1016/j.radonc.2012.11.007. Epub 2013 Jan 17.

PMID:
23333024

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