In vivo carbon nanotube-enhanced non-invasive photoacoustic mapping of the sentinel lymph node
Identifieur interne : 006715 ( Main/Merge ); précédent : 006714; suivant : 006716In vivo carbon nanotube-enhanced non-invasive photoacoustic mapping of the sentinel lymph node
Auteurs : Manojit Pramanik [États-Unis] ; Kwang Hyun Song [États-Unis] ; Magdalena Swierczewska [États-Unis] ; Danielle Green [États-Unis] ; Balaji Sitharaman [États-Unis] ; Lihong V. Wang [États-Unis]Source :
- Physics in Medicine and Biology [ 0031-9155 ] ; 2009.
Abstract
Sentinel lymph node biopsy (SLNB), a less invasive alternative to axillary lymph node dissection (ALND), has become the standard of care for patients with clinically node-negative breast cancer. In SLNB, lymphatic mapping with radio-labeled sulfur colloid and/or blue dye helps identify the sentinel lymph node (SLN), which is most likely to contain metastatic breast cancer. Even though SLNB, using both methylene blue and radioactive tracers, has a high identification rate, it still relies on an invasive surgical procedure, with associated morbidity. In this study, we have demonstrated a non-invasive single-walled carbon nanotube (SWNT)-enhanced photoacoustic (PA) identification of SLN in a rat model. We have successfully imaged the SLN in vivo by PA imaging (793 nm laser source, 5 MHz ultrasonic detector) with high contrast-to-noise ratio (89) and good resolution (500 m). The SWNTs also show a wideband optical absorption, generating PA signals over an excitation wavelength range of 740820 nm. Thus, by varying the incident light wavelength to the near infrared region, where biological tissues (hemoglobin, tissue pigments, lipids and water) show low light absorption, the imaging depth is maximized. In the future, functionalization of the SWNTs with targeting groups should allow the molecular imaging of breast cancer.
Url:
- https://api.istex.fr/document/93BC8EB477FBCDEA91391CC4070750BBA1E709A5/fulltext/pdf
- http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2732197
DOI: 10.1088/0031-9155/54/11/001
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<front><div type="abstract">Sentinel lymph node biopsy (SLNB), a less invasive alternative to axillary lymph node dissection (ALND), has become the standard of care for patients with clinically node-negative breast cancer. In SLNB, lymphatic mapping with radio-labeled sulfur colloid and/or blue dye helps identify the sentinel lymph node (SLN), which is most likely to contain metastatic breast cancer. Even though SLNB, using both methylene blue and radioactive tracers, has a high identification rate, it still relies on an invasive surgical procedure, with associated morbidity. In this study, we have demonstrated a non-invasive single-walled carbon nanotube (SWNT)-enhanced photoacoustic (PA) identification of SLN in a rat model. We have successfully imaged the SLN in vivo by PA imaging (793 nm laser source, 5 MHz ultrasonic detector) with high contrast-to-noise ratio (89) and good resolution (500 m). The SWNTs also show a wideband optical absorption, generating PA signals over an excitation wavelength range of 740820 nm. Thus, by varying the incident light wavelength to the near infrared region, where biological tissues (hemoglobin, tissue pigments, lipids and water) show low light absorption, the imaging depth is maximized. In the future, functionalization of the SWNTs with targeting groups should allow the molecular imaging of breast cancer.</div>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main"><italic>In vivo</italic>
carbon nanotube-enhanced non-invasive photoacoustic mapping of the sentinel lymph node</title>
<author><name sortKey="Pramanik, Manojit" sort="Pramanik, Manojit" uniqKey="Pramanik M" first="Manojit" last="Pramanik">Manojit Pramanik</name>
<affiliation wicri:level="4"><nlm:aff id="A1"> Optical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, Missouri 63130, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea> Optical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, Missouri 63130</wicri:regionArea>
<orgName type="university">Université Washington de Saint-Louis</orgName>
<placeName><settlement type="city">Saint-Louis (Missouri)</settlement>
<region type="state">Missouri (État)</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Song, Kwang Hyun" sort="Song, Kwang Hyun" uniqKey="Song K" first="Kwang Hyun" last="Song">Kwang Hyun Song</name>
<affiliation wicri:level="4"><nlm:aff id="A1"> Optical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, Missouri 63130, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea> Optical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, Missouri 63130</wicri:regionArea>
<orgName type="university">Université Washington de Saint-Louis</orgName>
<placeName><settlement type="city">Saint-Louis (Missouri)</settlement>
<region type="state">Missouri (État)</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Swierczewska, Magdalena" sort="Swierczewska, Magdalena" uniqKey="Swierczewska M" first="Magdalena" last="Swierczewska">Magdalena Swierczewska</name>
<affiliation wicri:level="1"><nlm:aff id="A2"> Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, New York 11794, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea> Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, New York 11794</wicri:regionArea>
<wicri:noRegion>New York 11794</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Green, Danielle" sort="Green, Danielle" uniqKey="Green D" first="Danielle" last="Green">Danielle Green</name>
<affiliation wicri:level="1"><nlm:aff id="A2"> Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, New York 11794, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea> Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, New York 11794</wicri:regionArea>
<wicri:noRegion>New York 11794</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Sitharaman, Balaji" sort="Sitharaman, Balaji" uniqKey="Sitharaman B" first="Balaji" last="Sitharaman">Balaji Sitharaman</name>
<affiliation wicri:level="1"><nlm:aff id="A2"> Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, New York 11794, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea> Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, New York 11794</wicri:regionArea>
<wicri:noRegion>New York 11794</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Wang, Lihong V" sort="Wang, Lihong V" uniqKey="Wang L" first="Lihong V." last="Wang">Lihong V. Wang</name>
<affiliation wicri:level="4"><nlm:aff id="A1"> Optical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, Missouri 63130, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea> Optical Imaging Laboratory, Department of Biomedical Engineering, Washington University in St. Louis, Missouri 63130</wicri:regionArea>
<orgName type="university">Université Washington de Saint-Louis</orgName>
<placeName><settlement type="city">Saint-Louis (Missouri)</settlement>
<region type="state">Missouri (État)</region>
</placeName>
</affiliation>
</author>
</analytic>
<series><title level="j">Physics in medicine and biology</title>
<idno type="ISSN">0031-9155</idno>
<idno type="eISSN">1361-6560</idno>
<imprint><date when="2009">2009</date>
</imprint>
</series>
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<front><div type="abstract" xml:lang="en"><p id="P1">Sentinel lymph node biopsy (SLNB), a less invasive alternative to axillary lymph node dissection (ALND), has become the standard of care for patients with clinically node-negative breast cancer. In SLNB, lymphatic mapping with radio-labeled sulfur colloid and/or blue dye helps identify the sentinel lymph node (SLN), which is most likely to contain metastatic breast cancer. Even though SLNB, using both methylene blue and radioactive tracers, has a high identification rate, it still relies on an invasive surgical procedure, with associated morbidity. In this study, we have demonstrated a non-invasive single-walled carbon nanotube (SWNT)-enhanced photoacoustic (PA) identification of SLN in a rat model. We have successfully imaged the SLN <italic>in vivo</italic>
by PA imaging (793 nm laser source, 5 MHz ultrasonic detector) with high contrast-to-noise ratio (= 89) and good resolution (~500 μm). The SWNTs also show a wideband optical absorption, generating PA signals over an excitation wavelength range of 740–820 nm. Thus, by varying the incident light wavelength to the near infrared region, where biological tissues (hemoglobin, tissue pigments, lipids, and water) show low light absorption, the imaging depth is maximized. In the future, functionalization of the SWNTs with targeting groups should allow the molecular imaging of breast cancer.</p>
</div>
</front>
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