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Items: 1 to 20 of 191

1.

Relationship between imaging biomarkers of stage I cervical cancer and poor-prognosis histologic features: quantitative histogram analysis of diffusion-weighted MR images.

Downey K, Riches SF, Morgan VA, Giles SL, Attygalle AD, Ind TE, Barton DP, Shepherd JH, deSouza NM.

AJR Am J Roentgenol. 2013 Feb;200(2):314-20. doi: 10.2214/AJR.12.9545.

PMID:
23345352
2.

Correlation of histogram analysis of apparent diffusion coefficient with uterine cervical pathologic finding.

Lin Y, Li H, Chen Z, Ni P, Zhong Q, Huang H, Sandrasegaran K.

AJR Am J Roentgenol. 2015 May;204(5):1125-31. doi: 10.2214/AJR.14.13350.

PMID:
25905952
3.

Non-small cell lung cancer: Whole-lesion histogram analysis of the apparent diffusion coefficient for assessment of tumor grade, lymphovascular invasion and pleural invasion.

Tsuchiya N, Doai M, Usuda K, Uramoto H, Tonami H.

PLoS One. 2017 Feb 16;12(2):e0172433. doi: 10.1371/journal.pone.0172433. eCollection 2017.

4.

Evaluation of magnetic resonance diffusion and spectroscopy measurements as predictive biomarkers in stage 1 cervical cancer.

Payne GS, Schmidt M, Morgan VA, Giles S, Bridges J, Ind T, DeSouza NM.

Gynecol Oncol. 2010 Feb;116(2):246-52. doi: 10.1016/j.ygyno.2009.09.044. Epub 2009 Oct 28.

PMID:
19875159
5.

Histogram analysis of apparent diffusion coefficient for the assessment of local aggressiveness of cervical cancer.

Xue H, Ren C, Yang J, Sun Z, Li S, Jin Z, Shen K, Zhou W.

Arch Gynecol Obstet. 2014 Aug;290(2):341-8. doi: 10.1007/s00404-014-3221-9. Epub 2014 Apr 1.

PMID:
24687746
6.

Histogram analysis of apparent diffusion coefficient map of standard and high B-value diffusion MR imaging in head and neck squamous cell carcinoma: a correlation study with histological grade.

Ahn SJ, Choi SH, Kim YJ, Kim KG, Sohn CH, Han MH, Chang KH, Min HS.

Acad Radiol. 2012 Oct;19(10):1233-40. doi: 10.1016/j.acra.2012.04.019. Epub 2012 Jul 18.

PMID:
22818788
7.

Clinical Application of Diffusion-Weighted Magnetic Resonance Imaging in Uterine Cervical Cancer.

Liu Y, Ye Z, Sun H, Bai R.

Int J Gynecol Cancer. 2015 Jul;25(6):1073-8. doi: 10.1097/IGC.0000000000000472.

PMID:
25966933
8.

Evaluation of Diffusion Kurtosis Imaging Versus Standard Diffusion Imaging for Detection and Grading of Peripheral Zone Prostate Cancer.

Roethke MC, Kuder TA, Kuru TH, Fenchel M, Hadaschik BA, Laun FB, Schlemmer HP, Stieltjes B.

Invest Radiol. 2015 Aug;50(8):483-9. doi: 10.1097/RLI.0000000000000155.

PMID:
25867657
9.

Histogram analysis of apparent diffusion coefficient map of diffusion-weighted MRI in endometrial cancer: a preliminary correlation study with histological grade.

Woo S, Cho JY, Kim SY, Kim SH.

Acta Radiol. 2014 Dec;55(10):1270-7. doi: 10.1177/0284185113514967. Epub 2013 Dec 6.

PMID:
24316663
10.

Gliomas: Histogram analysis of apparent diffusion coefficient maps with standard- or high-b-value diffusion-weighted MR imaging--correlation with tumor grade.

Kang Y, Choi SH, Kim YJ, Kim KG, Sohn CH, Kim JH, Yun TJ, Chang KH.

Radiology. 2011 Dec;261(3):882-90. doi: 10.1148/radiol.11110686. Epub 2011 Oct 3.

PMID:
21969667
11.

Pre-treatment diffusion-weighted MR imaging for predicting tumor recurrence in uterine cervical cancer treated with concurrent chemoradiation: value of histogram analysis of apparent diffusion coefficients.

Heo SH, Shin SS, Kim JW, Lim HS, Jeong YY, Kang WD, Kim SM, Kang HK.

Korean J Radiol. 2013 Jul-Aug;14(4):616-25. doi: 10.3348/kjr.2013.14.4.616. Epub 2013 Jul 17.

12.

Predicting tumor recurrence in patients with cervical carcinoma treated with definitive chemoradiotherapy: value of quantitative histogram analysis on diffusion-weighted MR images.

Erbay G, Onal C, Karadeli E, Guler OC, Arica S, Koc Z.

Acta Radiol. 2017 Apr;58(4):481-488. doi: 10.1177/0284185116656492. Epub 2016 Jul 28.

PMID:
27445314
13.

Diffusion-weighted imaging in cervical cancer with an endovaginal technique: potential value for improving tumor detection in stage Ia and Ib1 disease.

Charles-Edwards EM, Messiou C, Morgan VA, De Silva SS, McWhinney NA, Katesmark M, Attygalle AD, DeSouza NM.

Radiology. 2008 Nov;249(2):541-50. doi: 10.1148/radiol.2491072165.

PMID:
18936313
14.

3D analysis of apparent diffusion coefficient histograms in hepatocellular carcinoma: correlation with histological grade.

Moriya T, Saito K, Tajima Y, Harada TL, Araki Y, Sugimoto K, Tokuuye K.

Cancer Imaging. 2017 Jan 5;17(1):1. doi: 10.1186/s40644-016-0103-3.

15.

Lung carcinoma: diffusion-weighted mr imaging--preliminary evaluation with apparent diffusion coefficient.

Matoba M, Tonami H, Kondou T, Yokota H, Higashi K, Toga H, Sakuma T.

Radiology. 2007 May;243(2):570-7. Epub 2007 Mar 30.

PMID:
17400757
16.

The value of apparent diffusion coefficient in the assessment of cervical cancer.

Kuang F, Ren J, Zhong Q, Liyuan F, Huan Y, Chen Z.

Eur Radiol. 2013 Apr;23(4):1050-8. doi: 10.1007/s00330-012-2681-1. Epub 2012 Nov 18.

PMID:
23179520
17.

[Value of MR diffusion-weighted imaging in diagnosis and outcome prediction for uterine cervical cancer].

Wu B, Huang X, Peng W, Gu Y, Yang T, Mao J, Ke G, Wu X.

Zhonghua Zhong Liu Za Zhi. 2014 Feb;36(2):115-9. Chinese.

PMID:
24796459
18.

Separation of type and grade in cervical tumours using non-mono-exponential models of diffusion-weighted MRI.

Winfield JM, Orton MR, Collins DJ, Ind TE, Attygalle A, Hazell S, Morgan VA, deSouza NM.

Eur Radiol. 2017 Feb;27(2):627-636. doi: 10.1007/s00330-016-4417-0. Epub 2016 May 24.

19.

Prostate cancer aggressiveness: assessment with whole-lesion histogram analysis of the apparent diffusion coefficient.

Donati OF, Mazaheri Y, Afaq A, Vargas HA, Zheng J, Moskowitz CS, Hricak H, Akin O.

Radiology. 2014 Apr;271(1):143-52. doi: 10.1148/radiol.13130973. Epub 2013 Dec 12. Erratum in: Radiology. 2014 Oct;273(1):311.

PMID:
24475824
20.

Characterization of breast masses as benign or malignant at 3.0T MRI with whole-lesion histogram analysis of the apparent diffusion coefficient.

Suo S, Zhang K, Cao M, Suo X, Hua J, Geng X, Chen J, Zhuang Z, Ji X, Lu Q, Wang H, Xu J.

J Magn Reson Imaging. 2016 Apr;43(4):894-902. doi: 10.1002/jmri.25043. Epub 2015 Sep 7.

PMID:
26343918

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