Metastatic status of sentinel lymph nodes in melanoma determined noninvasively with multispectral optoacoustic imaging
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- 9 December 2015
- journal article
- research article
- Published by American Association for the Advancement of Science (AAAS) in Science Translational Medicine
- Vol. 7 (317), 317ra199
- https://doi.org/10.1126/scitranslmed.aad1278
Abstract
Sentinel lymph node (SLN) excision is included in various cancer guidelines to identify microscopic metastatic disease. Although effective, SLN excision is an invasive procedure requiring radioactive tracing. Novel imaging approaches assessing SLN metastatic status could improve or replace conventional lymph node excision protocols. In our first-in-human study, we used noninvasive multispectral optoacoustic tomography (MSOT) to image SLNs ex vivo and in vivo in patients with melanoma, to determine metastatic status. MSOT significantly improved the tumor metastasis detection rate in excised SLN (506 SLNs from 214 melanoma patients) compared with the conventional EORTC (European Organisation for Research and Treatment of Cancer) Melanoma Group protocol (22.9% versus 14.2%). MSOT combined with the near-infrared fluorophore indocyanine green reliably visualized SLNs in vivo in 20 patients, up to 5-cm penetration and with 100% concordance with 99mTc-marked SLN lymphoscintigraphy. MSOT identified cancer-free SLNs in vivo and ex vivo without a single false negative (189 total lymph nodes), with 100% sensitivity and 48 to 62% specificity. Our findings indicate that a noninvasive, nonradioactive MSOT-based approach can identify and determine SLN status and confidently rule out the presence of metastasis. The study further demonstrates that optoacoustic imaging strategies can improve the identification of SLN metastasis as an alternative to current invasive SLN excision protocols.Keywords
Funding Information
- Wilhelm Sander-Stiftung (2013.113.1)
- European Union Seventh Framework Programme (FP7/2007-2013)
- German Federal Ministry of Education and Research (BMBF) (FKZ 0315978)
- Mercator Research Center Ruhr (An-2012-0036)
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