Automated Quantitative Evaluation of Lymph Node Perfusion on Contrast-Enhanced Sonography
Leopoldo Rubaltelli1,
Simone Corradin1,
Alberto Dorigo1,
Alberto Tregnaghi1,
Fausto Adami2,
Carlo Riccardo Rossi3 and
Roberto Stramare1
1 Department of Medical Diagnostic Sciences and Special Therapies, University of
Padua-Italy, via Giustiniani 2, Padua 35100, Italy.
2 Department of Clinical and Experimental Medicine, University of Padua-Italy,
Padua, Italy.
3 Department of Oncological and Surgical Sciences, University of Padua-Italy,
Padua, Italy.
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Fig. 1A —63-year-old woman with inguinal reactive lymph node. Reference scans
delimit areas (circle) corresponding to lymph node under examination
to be processed by software for evaluation of maximum (A) and minimum
(B) signal intensity areas.
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Fig. 1B —63-year-old woman with inguinal reactive lymph node. Reference scans
delimit areas (circle) corresponding to lymph node under examination
to be processed by software for evaluation of maximum (A) and minimum
(B) signal intensity areas.
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Fig. 1C —63-year-old woman with inguinal reactive lymph node. After analyzing
all frames of recording as expression of maximum (C) or minimum
(D) signal intensity in each pixel, software (Qontraxt, Amid) creates
chromatic maps composed of scale of primary colors varying from red (maximum
signal intensity) to blue (minimum signal intensity).
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Fig. 1D —63-year-old woman with inguinal reactive lymph node. After analyzing
all frames of recording as expression of maximum (C) or minimum
(D) signal intensity in each pixel, software (Qontraxt, Amid) creates
chromatic maps composed of scale of primary colors varying from red (maximum
signal intensity) to blue (minimum signal intensity).
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Fig. 1E —63-year-old woman with inguinal reactive lymph node. Software
automatically supplies signal intensity-time curves and numeric values of
peak, mean, and SD (StdDev) signal intensities for areas of maximum (E)
and minimum (F) signal intensity. Time in seconds is shown on
x-axis, and y-axis shows signal intensity as percentage,
with 100% being maximum intensity.
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Fig. 1F —63-year-old woman with inguinal reactive lymph node. Software
automatically supplies signal intensity-time curves and numeric values of
peak, mean, and SD (StdDev) signal intensities for areas of maximum (E)
and minimum (F) signal intensity. Time in seconds is shown on
x-axis, and y-axis shows signal intensity as percentage,
with 100% being maximum intensity.
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Fig. 2A —57-year-old man with cervical lymph node metastasis from squamous
cell carcinoma. Reference scans delimit areas (circle) corresponding
to lymph node under examination to be processed by software for evaluation of
maximum (A) and minimum (B) signal intensity areas.
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Fig. 2B —57-year-old man with cervical lymph node metastasis from squamous
cell carcinoma. Reference scans delimit areas (circle) corresponding
to lymph node under examination to be processed by software for evaluation of
maximum (A) and minimum (B) signal intensity areas.
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Fig. 2C —57-year-old man with cervical lymph node metastasis from squamous
cell carcinoma. After analyzing all frames of recording as expression of
maximum (C) or minimum (D) signal intensity in each pixel,
software (Qontraxt, Amid) creates chromatic maps composed of scale of primary
colors varying from red (maximum signal intensity) to blue (minimum signal
intensity).
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Fig. 2D —57-year-old man with cervical lymph node metastasis from squamous
cell carcinoma. After analyzing all frames of recording as expression of
maximum (C) or minimum (D) signal intensity in each pixel,
software (Qontraxt, Amid) creates chromatic maps composed of scale of primary
colors varying from red (maximum signal intensity) to blue (minimum signal
intensity).
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Fig. 2E —57-year-old man with cervical lymph node metastasis from squamous
cell carcinoma. Software automatically supplies signal intensity-time curves
and numeric values of peak, mean, and SD (StdDev) signal intensities for areas
of maximum (E) and minimum (F) signal intensity. Time in seconds
is shown on x-axis, and y-axis shows signal intensity as
percentage, with 100% being maximum intensity.
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View larger version (23K):
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Fig. 2F —57-year-old man with cervical lymph node metastasis from squamous
cell carcinoma. Software automatically supplies signal intensity-time curves
and numeric values of peak, mean, and SD (StdDev) signal intensities for areas
of maximum (E) and minimum (F) signal intensity. Time in seconds
is shown on x-axis, and y-axis shows signal intensity as
percentage, with 100% being maximum intensity.
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Fig. 5 —Graph shows differential values of maximum signal intensity
(SImax) and minimum signal intensity (SImin), calculated
as SImax-SImin, in two groups of lymph nodes: metastatic
(solid line) and benign (dotted line).
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Copyright © 2007 by the American Roentgen Ray Society.
