Real‐time near‐infrared fluorescence imaging mediated by blue dye in breast cancer patients

2020 ◽  
Vol 121 (6) ◽  
pp. 964-966 ◽  
Author(s):  
Lili Jiang ◽  
Taiyuan Liu ◽  
Xuan Wang ◽  
Jun Li ◽  
Haidong Zhao
Keyword(s):  
Breast Cancer ◽  
Real Time ◽  
Cancer Patients ◽  
Fluorescence Imaging ◽  
Near Infrared ◽  
Blue Dye ◽  
Breast Cancer Patients ◽  
Near Infrared Fluorescence ◽  
Near Infrared Fluorescence Imaging

scholarly journals Real-time intraoperative detection of breast cancer using near-infrared fluorescence imaging and Methylene Blue

2014 ◽  
Vol 40 (7) ◽  
pp. 850-858 ◽  
Author(s):  
Q.R.J.G. Tummers ◽  
F.P.R. Verbeek ◽  
B.E. Schaafsma ◽  
M.C. Boonstra ◽  
J.R. van der Vorst ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Methylene Blue ◽  
Real Time ◽  
Fluorescence Imaging ◽  
Near Infrared ◽  
Near Infrared Fluorescence ◽  
Intraoperative Detection ◽  
Near Infrared Fluorescence Imaging

SPECT and Near-Infrared Fluorescence Imaging of Breast Cancer with a Neuropilin-1-Targeting Peptide

2014 ◽  
Vol 192 ◽  
pp. 236-242 ◽  
Author(s):  
Guo-Kai Feng ◽  
Rong-Bin Liu ◽  
Meng-Qing Zhang ◽  
Xiao-Xuan Ye ◽  
Qian Zhong ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Fluorescence Imaging ◽  
Near Infrared ◽  
Near Infrared Fluorescence ◽  
Neuropilin 1 ◽  
Targeting Peptide ◽  
Near Infrared Fluorescence Imaging

scholarly journals Intraoperative Near-Infrared Fluorescence Imaging With Second-Window Indocyanine-Green Offers Accurate and Real-Time Correction for Brain Shift and Anatomic Inconsistencies in Framless Neuronavigation

Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Steve Sungwon Cho ◽  
Ashwin G Ramayya ◽  
Clare W Teng ◽  
Steven Brem ◽  
Sunil Singhal ◽  
...  
Keyword(s):  
Real Time ◽  
Fluorescence Imaging ◽  
Near Infrared ◽  
Infrared Imaging ◽  
P Value ◽  
Brain Shift ◽  
Intracranial Tumors ◽  
Near Infrared Imaging ◽  
Near Infrared Fluorescence ◽  
Near Infrared Fluorescence Imaging

Abstract INTRODUCTION Neuronavigation allows neurosurgeons to localize intracranial structures in 3D space and has been shown to have positive impacts on patient survival in neuro-oncology surgery. However, its major limitation is the intraoperative brain-shift phenomenon, in which the brain moves during surgery due to physical, surgical, and/or biological factors, invalidating the preoperative registration and leading to inaccuracies in the cranium. One reliable way to account for brain-shift intraoperatively may be to use tumor-targeting near-infrared fluorophores, such as ICG accumulating in neoplastic tissue (ie, Second-Window ICG), which offers real-time visualization of tumors through normal cortex and dura. METHODS Patients undergoing craniotomy for primary resection of intracranial tumors were enrolled under an ongoing clinical trial investigating the efficacy of SWIG. For this analysis, retrospective data were collected on patients in whom neuronavigation was used to plan the craniotomy in such a way as to place the tumor in the center of the craniotomy (ie, parasagittal tumors, skull-base tumors, and large/asymmetrical tumors were excluded). During surgery, near-infrared imaging was performed before and after durotomy to localize the gross tumor. Image analysis was performed to measure the deviation between the craniotomy center and the center of the tumor as seen with near-infrared fluorescence. RESULTS A total of 63 patients (24 high-grade-gliomas, 12 meningiomas, 25 metastases, 2 others) were included in this preliminary analysis. Neuronavigation demonstrated a median deviation of 22.4% (range 7.7%-44.4%) relative to craniotomy size. Patient position was a significant predictor of neuronavigation inaccuracy, with the prone position having significantly higher inaccuracy (28.5 ± 8.8%) compared to the supine (19.3 ± 9.2%, P-value = .015) or the lateral (17.9 ± 6.6%, P-value = .012) positions. Additionally, the neuronavigation device used and postgraduate training level of the residents performing the registration trended towards significance on multivariate analysis. In contrast, near-infrared fluorescence perfectly delineated the tumor in all cases. CONCLUSION We demonstrate that near-infrared fluorescence imaging offers more accurate localization of intracranial tumors compared to frameless neuronavigation. Near-infrared imaging could potentially be used to adjust neuronavigation registrations intraoperatively to enhance accuracy. Further prospective studies with distance measurements could better explore this potential benefit of intraoperative near-infrared imaging.

Intraoperative identification of sentinel lymph node guided by near-infrared fluorescence imaging for breast cancer patients

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 615-615 ◽  
Author(s):  
N. Tagaya
Keyword(s):  
Lymph Node ◽  
Fluorescence Imaging ◽  
Near Infrared ◽  
False Negative ◽  
Breast Cancer Patients ◽  
Navigation Surgery ◽  
Near Infrared Fluorescence ◽  
Vital Dye ◽  
High Detection ◽  
Near Infrared Fluorescence Imaging

615 Background: Recently, radioactive tracer, a vital dye, or a combination of both has been applied intraoperatively to detect sentinel lymph nodes (SLN) for patients with early breast cancers. We present a novel method of SLN identification using near-infrared fluorescence imaging that provides with high detection and low false-negative rates. Materials and Methods: This study enrolled 52 patients with a tumor less than 3 cm in diameter. Their mean age was 54.7 years. Preoperative TNM stage was I in 35 cases, IIa in 12, and IIb in 5, respectively. Initially the combination dye of indocyanine green and indigocarmine was injected subdermally in the areola. Fluorescence imaging (photodynamic eye: Hamamatsu Photonics Co.) was obtained using a charge coupled device camera with a cut filter as the detector, and light emitting diodes at 760 nm as the light source. Subcutaneous lymphatic channels draining from the areola to the axilla or other directions were visible by fluorescence imagings immediately. After incising the axillary skin 1 cm cranial side from the disappeared point of fluorescence image, SLN was then dissected under the guidance of fluorescence. Results: In all but one patient, lymphatic channels and SLN were successfully visualized (identification rate: 98.1%). SLN was observed before skin incision in two patients. The number of fluorescence SLN ranged from 0 to 11 (mean: 4.7) and blue dyed SLN ranged from o to 6 (mean: 2.0). SLN was not identified in one patient in the former and 7 patients in the latter. Twelve patients had lymph node metastases pathologically. All of them were recognized by fluorescence imaging, however, three patients with metastatic LN were not identified by a vital dye. Conclusions: This method is feasible and safe to detect SLN intraoperatively with less invasive, real-time observation and no requirement of training. We are convinced that this method will provide with high detection and low false-negative rates in SLN navigation surgery. No significant financial relationships to disclose.

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