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Items: 1 to 20 of 122

1.

Exploring intra- and inter-reader variability in uni-dimensional, bi-dimensional, and volumetric measurements of solid tumors on CT scans reconstructed at different slice intervals.

Zhao B, Tan Y, Bell DJ, Marley SE, Guo P, Mann H, Scott ML, Schwartz LH, Ghiorghiu DC.

Eur J Radiol. 2013 Jun;82(6):959-68. doi: 10.1016/j.ejrad.2013.02.018.

2.

Three-dimensional lung tumor segmentation from x-ray computed tomography using sparse field active models.

Awad J, Owrangi A, Villemaire L, O'Riordan E, Parraga G, Fenster A.

Med Phys. 2012 Feb;39(2):851-65. doi: 10.1118/1.3676687.

PMID:
22320795
3.

CT colonography: automated measurement of colonic polyps compared with manual techniques--human in vitro study.

Taylor SA, Slater A, Halligan S, Honeyfield L, Roddie ME, Demeshski J, Amin H, Burling D.

Radiology. 2007 Jan;242(1):120-8.

PMID:
17105850
4.

Doubling time calculations for lung cancer by three-dimensional computer-aided volumetry: effects of inter-observer differences and nodule characteristics.

Koike W, Iwano S, Matsuo K, Kitano M, Kawakami K, Naganawa S.

J Med Imaging Radiat Oncol. 2014 Feb;58(1):82-8. doi: 10.1111/1754-9485.12128.

PMID:
24304703
5.

Pulmonary nodule volumetric measurement variability as a function of CT slice thickness and nodule morphology.

Petrou M, Quint LE, Nan B, Baker LH.

AJR Am J Roentgenol. 2007 Feb;188(2):306-12.

PMID:
17242235
6.

Comparison of 1D, 2D, and 3D nodule sizing methods by radiologists for spherical and complex nodules on thoracic CT phantom images.

Petrick N, Kim HJ, Clunie D, Borradaile K, Ford R, Zeng R, Gavrielides MA, McNitt-Gray MF, Lu ZQ, Fenimore C, Zhao B, Buckler AJ.

Acad Radiol. 2014 Jan;21(1):30-40. doi: 10.1016/j.acra.2013.09.020.

7.

Semiautomatic lymph node segmentation in multislice computed tomography: impact of slice thickness on segmentation quality, measurement precision, and interobserver variability.

Buerke B, Puesken M, Beyer F, Gerss J, Weckesser M, Seifarth H, Heindel W, Wessling J.

Invest Radiol. 2010 Feb;45(2):82-8. doi: 10.1097/RLI.0b013e3181c443e1.

PMID:
20027120
8.
9.

Clinical lymph node staging--influence of slice thickness and reconstruction kernel on volumetry and RECIST measurements.

Fabel M, Wulff A, Heckel F, Bornemann L, Freitag-Wolf S, Heller M, Biederer J, Bolte H.

Eur J Radiol. 2012 Nov;81(11):3124-30. doi: 10.1016/j.ejrad.2012.03.008.

PMID:
22464844
10.

Volume-based response evaluation with consensual lesion selection: a pilot study by using cloud solutions and comparison to RECIST 1.1.

Oubel E, Bonnard E, Sueoka-Aragane N, Kobayashi N, Charbonnier C, Yamamichi J, Mizobe H, Kimura S.

Acad Radiol. 2015 Feb;22(2):217-25. doi: 10.1016/j.acra.2014.09.008.

PMID:
25488429
11.

Volumetric evaluation of hepatic tumors: multi-vendor, multi-reader liver phantom study.

Lubner MG, Dustin Pooler B, del Rio AM, Durkee B, Pickhardt PJ.

Abdom Imaging. 2014 Jun;39(3):488-96. doi: 10.1007/s00261-014-0079-z.

PMID:
24492936
12.

Measurement of mesothelioma on thoracic CT scans: a comparison of manual and computer-assisted techniques.

Armato SG 3rd, Oxnard GR, MacMahon H, Vogelzang NJ, Kindler HL, Kocherginsky M, Starkey A.

Med Phys. 2004 May;31(5):1105-15.

PMID:
15191298
13.

[The intra-observer variability of volumetric measurement of pulmonary nodules: comparison of two-dimensional and three-dimensional method].

Guo X, Wang Y, Li D, Zhang C, Cao Y, Su D, Yu T.

Zhongguo Fei Ai Za Zhi. 2014 Apr;17(4):336-41. doi: 10.3779/j.issn.1009-3419.2014.04.08. Chinese.

14.

Usefulness of semi-automatic volumetry compared to established linear measurements in predicting lymph node metastases in MSCT.

Buerke B, Gerss J, Puesken M, Weckesser M, Heindel W, Wessling J.

Acta Radiol. 2011 Jun 1;52(5):540-6. doi: 10.1258/ar.2011.100452.

PMID:
21498286
15.

Comparison of the accuracy of CT volume calculated by circumscription to prolate ellipsoid volume (bidimensional measurement multiplied by coronal long axis).

Rkein AM, Harrigal C, Friedman AC, Persky D, Krupinski E.

Acad Radiol. 2009 Feb;16(2):181-6. doi: 10.1016/j.acra.2008.08.013.

PMID:
19124103
16.

Assessing the effect of CT slice interval on unidimensional, bidimensional and volumetric measurements of solid tumours.

Tan Y, Guo P, Mann H, Marley SE, Juanita Scott ML, Schwartz LH, Ghiorghiu DC, Zhao B.

Cancer Imaging. 2012 Oct 31;12:497-505. doi: 10.1102/1470-7330.2012.0046.

17.

Inter-observer reproducibility of semi-automatic tumor diameter measurement and volumetric analysis in patients with lung cancer.

Dinkel J, Khalilzadeh O, Hintze C, Fabel M, Puderbach M, Eichinger M, Schlemmer HP, Thorn M, Heussel CP, Thomas M, Kauczor HU, Biederer J.

Lung Cancer. 2013 Oct;82(1):76-82. doi: 10.1016/j.lungcan.2013.07.006.

PMID:
23932487
18.

Size determination and response assessment of liver metastases with computed tomography--comparison of RECIST and volumetric algorithms.

Rothe JH, Grieser C, Lehmkuhl L, Schnapauff D, Fernandez CP, Maurer MH, Mussler A, Hamm B, Denecke T, Steffen IG.

Eur J Radiol. 2013 Nov;82(11):1831-9. doi: 10.1016/j.ejrad.2012.05.018.

PMID:
22717124
19.

Impact of motion velocity on four-dimensional target volumes: a phantom study.

Nakamura M, Narita Y, Sawada A, Matsugi K, Nakata M, Matsuo Y, Mizowaki T, Hiraoka M.

Med Phys. 2009 May;36(5):1610-7.

PMID:
19544777
20.

Semi-automatic volumetric measurement of lung cancer using multi-detector CT effects of nodule characteristics.

Iwano S, Okada T, Koike W, Matsuo K, Toya R, Yamazaki M, Ito S, Ito J, Naganwa S.

Acad Radiol. 2009 Oct;16(10):1179-86. doi: 10.1016/j.acra.2009.04.007.

PMID:
19524456
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