Martin nielsen challenges in image analysis
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Living up to Life
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Transcript of Martin nielsen challenges in image analysis
Living up to Life
Living up to Life
Who am I
Biomedical Laboratory Scientist
IHC Cytology Molecular Pathology IT – EPR/LIS Image Analysis
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Challenges in image analysis
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Digital image analysis
Image analysis is the extraction of meaningful information from images
Objective cell image analysis.Bartels PH, Bahr GF, Bibbo M, Wied GL.J Histochem Cytochem. 1972 Apr;20(4):239-54.
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How many animals in this picture?
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Quantitative Pathology Tumor size Diameter ER% HER2 status Proliferation markers FISH Microvessel density
Quantitative estimation of the fibrous tissue in pathologic livers.WARREN S, WAHI PN.Arch Pathol (Chic). 1947 Dec;44(6):563-70.
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Digital Pathology
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How many pandas in this Picture?
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Algoritme
An algorithm is an unambiguous and abstract description of how a specific type of problem is solved terminatingly.
An algorithm is a recipe to solve a problem of a certain type that delivers a solution regardless of how the actual situation looks.
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Algoritme
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Now let´s look at the pandas again.
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Sentinel Node, Malignant melanoma
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Sentinel Node, Malign melanom
Stage migration after minor changes in histologic estimation of tumor burden in sentinel lymph nodes: the protocol trap.
Riber-Hansen R, Nyengaard JR, Hamilton-Dutoit SJ, Steiniche T.
Cancer. 2009 May 15;115(10):2177-87.
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Sentinel Node, Malign melanom The six-way 2D nucleator
technique.
The centre of the six rays is placed at the estimated centre of the metastasis.
Calculate the area of the metastasis in the given section. (Software)
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Sentinel Node, Malign melanom
SN is split down the middleCut completely in step fixed distance of 250μMStained HE, S-100, Melan A
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Sentinel Node, Malign melanom
0.0
00.2
50.5
00.7
51.0
0
0 20 40 60 80analysis time
diameterg4 = SN negativ diameterg4 = <0.1 mmdiameterg4 = 0.1-0.99 mm diameterg4 = 1.0-1.99 mmdiameterg4 = >2.0 mm
Kaplan-Meier survival estimates, by diameterg4
p=0.02 (Lymfeknude positive)
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Sentinel Node, Malign melanom
0.0
00.2
50.5
00.7
51.0
0
0 20 40 60 80analysis time
volgruppe4 = SN negativ volgruppe4 = <0.005 mm3volgruppe4 = 0.005-0.5 mm3 volgruppe4 = 0.5-5 mm3volgruppe4 = >5 mm3
Kaplan-Meier survival estimates, by volgruppe4
p<0.0001 (Lymfeknude positive)
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Sentinel Node, Malign melanom
0.0
00.2
50.5
00.7
51.0
0
0 20 40 60 80analysis time
autovolgrup = SN negativ autovolgrup = <0.005 mm3autovolgrup = 0.005-0.5 mm3 autovolgrup = 0.5-5 mm3autovolgrup = >5 mm3
Kaplan-Meier survival estimates, by autovolgrup
p<0.0001 (Lymfeknude positive)
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<0.005mm3
0.005-0.49 mm3
0.49 – 4.9 mm3
> 5 mm3
<0.005mm3
23 1 0 0
0.005-0.49 mm3
4 43 3 0
0.49 – 4.9 mm3
0 0 12 0
> 5 mm3 0 0 2 7
Kappa: 0.84
<0.00 dårlig 0.00-0.2 svag 0.21-
0.40 rimelig 0.41-0.60 moderat 0.61-0.80 betydelig 0.81-1.00 meget god
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ConclusionOverall a very good agreement
Room for improvement
Staining
≈
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VEGF
"Estimation of immunohistochemical expression of VEGF in ductal carcinomas of the breast"
Else Maae, Martin Nielsen, Karina D. Steffensen, Erik H. Jakobsen, Anders K. M. Jakobsen, Flemming B. Sørensen
Department of Oncology (EM, KDS, EHJ, AKMJ) and Clinical Pathology (MN, FBS), Vejle Hospital, Vejle, Denmark
Journal of Histochemistry & Cytochemistry
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VEGF
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VEGF
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VEGF
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Manual Kappaκ 0,2 – 0,7
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You need to think outside the box
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Thanks for listening
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