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Items: 1 to 20 of 137

1.

Quantification of myocardial fibrosis by digital image analysis and interactive stereology.

Daunoravicius D, Besusparis J, Zurauskas E, Laurinaviciene A, Bironaite D, Pankuweit S, Plancoulaine B, Herlin P, Bogomolovas J, Grabauskiene V, Laurinavicius A.

Diagn Pathol. 2014 Jun 9;9:114. doi: 10.1186/1746-1596-9-114.

2.

Quantitative comparison of immunohistochemical staining measured by digital image analysis versus pathologist visual scoring.

Rizzardi AE, Johnson AT, Vogel RI, Pambuccian SE, Henriksen J, Skubitz AP, Metzger GJ, Schmechel SC.

Diagn Pathol. 2012 Jun 20;7:42. doi: 10.1186/1746-1596-7-42.

3.

Technical note on the validation of a semi-automated image analysis software application for estrogen and progesterone receptor detection in breast cancer.

Krecsák L, Micsik T, Kiszler G, Krenács T, Szabó D, Jónás V, Császár G, Czuni L, Gurzó P, Ficsor L, Molnár B.

Diagn Pathol. 2011 Jan 18;6:6. doi: 10.1186/1746-1596-6-6.

4.

High resolution systematic digital histological quantification of cardiac fibrosis and adipose tissue in phospholamban p.Arg14del mutation associated cardiomyopathy.

Gho JM, van Es R, Stathonikos N, Harakalova M, te Rijdt WP, Suurmeijer AJ, van der Heijden JF, de Jonge N, Chamuleau SA, de Weger RA, Asselbergs FW, Vink A.

PLoS One. 2014 Apr 14;9(4):e94820. doi: 10.1371/journal.pone.0094820. eCollection 2014.

5.

A methodology to ensure and improve accuracy of Ki67 labelling index estimation by automated digital image analysis in breast cancer tissue.

Laurinavicius A, Plancoulaine B, Laurinaviciene A, Herlin P, Meskauskas R, Baltrusaityte I, Besusparis J, Dasevicius D, Elie N, Iqbal Y, Bor C.

Breast Cancer Res. 2014;16(2):R35.

6.

The myocardial fibrosis in patients with dilated cardiomyopathy. The application of image analysis in the myocardial biopsies.

Agapitos E, Kavantzas N, Nanas J, Margari Z, Bakouris M, Kassis K, Panolaridis A, Davaris P.

Gen Diagn Pathol. 1996 May;141(5-6):305-11.

PMID:
8780929
7.

Comparative study of 201Tl-scintigraphic image and myocardial pathologic findings in patients with dilated cardiomyopathy.

Li LX, Nohara R, Okuda K, Hosokawa R, Hata T, Tanaka M, Matsumori A, Fujita M, Tamaki N, Konishi J, Sasayama S.

Ann Nucl Med. 1996 Aug;10(3):307-14.

PMID:
8883706
8.

Myocardial fibrosis assessment by semiquantitative, point-counting and computer-based methods in patients with heart muscle disease: a comparative study.

Vasiljević JD, Popović ZB, Otasević P, Popović ZV, Vidaković R, Mirić M, Nesković AN.

Histopathology. 2001 Apr;38(4):338-43.

PMID:
11318899
9.

New computerized color image analysis for the quantification of interstitial fibrosis in renal transplantation.

Meas-Yedid V, Servais A, Noël LH, Panterne C, Landais P, Hervé N, Brousse N, Kreis H, Legendre C, Thervet E, Olivo-Marin JC, Morelon E.

Transplantation. 2011 Oct 27;92(8):890-9. doi: 10.1097/TP.0b013e31822d879a.

PMID:
21926945
10.

Validation of diagnostic accuracy using digital slides in routine histopathology.

Fónyad L, Krenács T, Nagy P, Zalatnai A, Csomor J, Sápi Z, Pápay J, Schönléber J, Diczházi C, Molnár B.

Diagn Pathol. 2012 Mar 31;7:35. doi: 10.1186/1746-1596-7-35.

11.

Rapid quantification of myocardial fibrosis: A new macro-based automated analysis.

Hadi AM, Mouchaers KT, Schalij I, Grunberg K, Meijer GA, Vonk-Noordegraaf A, van der Laarse WJ, Beliën JA.

Anal Cell Pathol (Amst). 2010;33(5):257-69. doi: 10.3233/ACP-CLO-2010-0548. Erratum in: Cell Oncol (Dordr). 2011 Aug;34(4):407-8.

12.

Rapid quantification of myocardial fibrosis: a new macro-based automated analysis.

Hadi AM, Mouchaers KT, Schalij I, Grunberg K, Meijer GA, Vonk-Noordegraaf A, van der Laarse WJ, Beliën JA.

Cell Oncol (Dordr). 2011 Aug;34(4):343-54. doi: 10.1007/s13402-011-0035-7. Epub 2011 May 3.

13.

[Comparative study of 201Tl-scintigraphic image and endomyocardial biopsy findings in patients with dilated cardiomyopathy].

Li L, Nohara R, Ono S, Okuda K, Tanaka M, Fujiwara H, Matoba Y, Matsumori A, Fujita M, Sasayama S, et al.

Kaku Igaku. 1994 Mar;31(3):231-40. Japanese.

PMID:
8176861
14.

Analyzing huge pathology images with open source software.

Deroulers C, Ameisen D, Badoual M, Gerin C, Granier A, Lartaud M.

Diagn Pathol. 2013 Jun 6;8:92. doi: 10.1186/1746-1596-8-92.

15.

Liver steatosis assessment: correlations among pathology, radiology, clinical data and automated image analysis software.

Lee MJ, Bagci P, Kong J, Vos MB, Sharma P, Kalb B, Saltz JH, Martin DR, Adsay NV, Farris AB.

Pathol Res Pract. 2013 Jun;209(6):371-9. doi: 10.1016/j.prp.2013.04.001. Epub 2013 Apr 17.

PMID:
23707550
16.

Open source tools for management and archiving of digital microscopy data to allow integration with patient pathology and treatment information.

Khushi M, Edwards G, de Marcos DA, Carpenter JE, Graham JD, Clarke CL.

Diagn Pathol. 2013 Feb 12;8:22. doi: 10.1186/1746-1596-8-22.

17.

Ultrasonic tissue characterization in patients with dilated cardiomyopathy: comparison with findings from right ventricular endomyocardial biopsy.

Fujimoto S, Mizuno R, Nakagawa Y, Kimura A, Yamaji K, Yutani C, Dohi K, Nakano H.

Int J Card Imaging. 1999 Oct;15(5):391-6.

PMID:
10595405
18.

Myocardial blood flow distribution in patients with ischemic heart disease or dilated cardiomyopathy undergoing heart transplantation.

Parodi O, De Maria R, Oltrona L, Testa R, Sambuceti G, Roghi A, Merli M, Belingheri L, Accinni R, Spinelli F, et al.

Circulation. 1993 Aug;88(2):509-22.

PMID:
8339413
19.

Quantitative analysis of late gadolinium enhancement in hypertrophic cardiomyopathy.

Aquaro GD, Positano V, Pingitore A, Strata E, Di Bella G, Formisano F, Spirito P, Lombardi M.

J Cardiovasc Magn Reson. 2010 Apr 7;12:21. doi: 10.1186/1532-429X-12-21.

20.

Validation of sub-segmental visual scoring for the quantification of ischemic and nonischemic myocardial fibrosis using late gadolinium enhancement MRI.

Fine NM, Tandon S, Kim HW, Shah DJ, Thompson T, Drangova M, White JA.

J Magn Reson Imaging. 2013 Dec;38(6):1369-76. doi: 10.1002/jmri.24116. Epub 2013 Apr 4.

PMID:
23559419
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