Referências
1 - Rebecca L. Siegel, et al., Cancer Statistics, 2017, CA Cancer J CLIN 2017;67:7–30.
2 -Pamela García-Corrochano et al., “Resección microquirúrgica de glioblastoma guiada con fluoresceína intraoperatoria: evaluación retrospectiva,” Rev Peru Med Exp Salud Publica. 2015;32(3):471-8.
3 - Mustafa Aziz Hatiboglu et al., “The role of surgical resection in patients with brain metastases,” Ecancer 2013, 7:308.
4 – Angela B. Mariotto, et al., “Projections of the Cost of Cancer Care in the United States: 2010–2020,” JNCI, Vol. 103, Issue 2, January 19, 2011.
5 - Researching Cancer Medicines: Setbacks and Stepping Stones, Report, Pharmaceutical Research and Manufacturers of America (PhRMA), October 2014.
6 - Mario Giordano, et al., “Intraoperative magnetic resonance imaging in pediatric neurosurgery: safety and utility,” J Neurosurg Pediatr 19:77–84, 2017
7 – R. Díez Valle, et al., “Observational, retrospective study of the effectiveness of 5-aminolevulinic acid in malignant glioma surgery in Spain (The VISIONA study),” Neurología. 2014;29(3):131—138
8 – Raymund L. Yong, et al. “Residual tumor volume and patient survival following reoperation for recurrent glioblastoma,” J Neurosurg 121:802–809, 2014
9 – Walter Stummer, et al., “5-Aminolevulinic Acid-derived Tumor Fluorescence: The Diagnostic Accuracy of Visible Fluorescence Qualities as Corroborated by Spectrometry and Histology and Postoperative Imaging,” Neurosurgery 74:310–320, 2014
10 – Ricardo Díez Valle, et al., “To what extent will 5-aminolevulinic acid change the face of malignant glioma surgery?,” CNS Oncol. (2015) 4(4), 265–272
11- Bawarjan Schatlo, et al., “Outcomes after combined use of intraoperative MRI and 5-aminolevulinic acid in high-grade glioma surgery,” Neuro-Oncology 17(12), 1560–1567, 2015
12- Ilker Y. Eyüpoglu1, et al., “Supra complete surgery via dual intraoperative visualization approach (DiVA) prolongs patient survival in glioblastoma,” Oncotarget, Vol. 7, No. 18, March 25, 2016
13- Ahmed Abdullah, t al., “Surgical resection of low-grade gliomas in eloquent areas with the guidance of the preoperative functional magnetic resonance imaging and craniometric points,” J Neurosci Rural Pract. 2016 Oct-Dec; 7(4): 571–576
14 – Mario Giordano, et al., “Neurosurgical tools to extend tumor resection in pediatric hemispheric low-grade gliomas: iMRI,” Childs Nerv Syst (2016) 32:1915–1922
15 - Woo June Choi and Ruikang K. Wang, “Swept-source optical coherence tomography powered by a 1.3-μm vertical cavity surface emitting laser enables 2.3-mm-deep brain imaging in mice in vivo,” Journal of Biomedical Optics 20(10), 106004 (October 2015).
16- Niall T. P. Savage, Development of a novel probe integrated with a micro-structured impedance sensor for the detection of breast cancer,PhD Thesis, University of Ireland, Cork, July 2016
17- A Fornes-Leal1, at al., “Dielectric characterization of healthy and malignant colon tissues in the 0.5–18 GHz frequency band,” Phys. Med. Biol. 61 (2016) 7334–7346
18- Fritzi Töpfer, Joachim Oberhammer, “Millimeter-Wave Tissue Diagnostics,” IEEE Microwave Magazine, Vol. 16, Issue: 4, May 2015
19- Clive M. Alabaster, The microwave properties of tissue and other lossy dielectrics, PhD Thesis, Cranfield University, March, 2004.
20 - Sébastien Serresa, et al., “Molecular MRI enables early and sensitive detection of brain metastases,” PNAS, April 24, 2012, vol. 109, no. 17.
21- Gennaro Gentile, MM-wave passive components for integrated phased array antennas, PhD Thesis, Technische Universiteit Delft, June 2016.
22 - Kenneth J. Vanhille, Design and Characterization of Microfabricated Three-Dimensional Millimeter-Wave Components, PhD Thesis, University of Colorado, 2007.
23 - G. Fiori, et al., “Electronics based on two-dimensional materials,” Nature Nanotech. 9 (2014) 768-779
24- Francesco Prada, et al., “Identification of residual tumor with intraoperative contrast-enhanced ultrasound during glioblastoma resection,” Neurosurg Focus 40 (3):E7, 2016
25- Aliasgar V. Moiyadi, “Intraoperative Ultrasound Technology in Neuro-Oncology Practice—Current Role and Future Applications,” World Neurosurg. (2016) 93:81-93
26- Min Woo Lee, “Fusion imaging of real-time ultrasonography with CT or MRI for hepatic intervention,” Ultrasonography 2014;33:227-239
27- Uwe Walter, et al., “Magnetic Resonance-Transcranial Ultrasound Fusion Imaging: A Novel Tool for Brain Electrode Location,” Movement Disorders, Vol. 31, No. 3, 2016
28 – Paolo Ferroli, et al., “Brain Surgery in a Stereoscopic Virtual Reality Environment: A Single Institution’s Experience With 100 Cases,” Operative Neurosurgery 1, Volume 67, September 2010.
29 - P.F.M. Smulders, “Analysis of human skin tissue by millimeter-wave reflectometry,” Skin Research and Technology 2012; 0: 1–8
30- Vladimir Jovanovi´c, et al., “Silicon-Based Technology for Integrated Waveguides and mm-Wave Systems, IEEE Transactions On Electron Devices, Vol. 62, No. 10, October 2015
31- William R. McGrath at al., “Silicon Micromachined Waveguides for Millimeter- Wave and Submillimeter- Wave Frequencies,” IEEE Microwave and Guided Wave Letters, Vol. 3, No. 3, March 1993
32- Omid Habibpour et al., “Wafer scale millimeter-wave integrated circuits based on epitaxial graphene in high data rate communication,” Nature Scientific Reports | 7:41828
33 - C. R. Dean, et al., Boron nitride substrates for high-quality graphene electronics. Nature Nanotech. 5 (2010) 722–726
34 - J. Zheng, et al., Sub-10 nm Gate Length Graphene Transistors: Operating at Terahertz Frequencies with Current Saturation, Scientific Reports 3 : 1314 (2013)
35 - Nahid Vahabisani, “3D Micro-fabricated Millimeter-wave Devices: Waveguides and Waveguide Switches,” Department of Electrical and Computer Engineering, University of Alberta, Canada, 2014.
36 – Pedro Alexandre Marques Anacleto, "Self-Folding 3D MicroAntennas for Implantable Medical Devices", Biomedical Engineering PhD Thesis, University of Minho, Portugal, July 2016.
37 – Manuel José Leal Zamith de Passos, “A Radiofrequency Identification System for the 60 GHz ISM band,” MSc Dissertation on Biomedical Engineering, University of Minho, June 2015.
38 – Graphene field-effect transistor array with integrated electrolytic gates scaled to 200 mm, N. C. S. Vieira, J. Borme, G. Machado Jr., F. Cerqueira, P. P. Freitas, V. Zucolotto, N. M. R. Peres and P. Alpuim, J. Phys.: Condens. Matter 28 (2016) 085302
39 – F. Alves, R. A. Dias, J. Cabral, J. Gaspar, L. A. Rocha, "High-Resolution MEMS Inclinometer Based On Pull-In Voltage". J. Microelectromech. Syst., Vol. 24, pp. 931-939, 2015.
40 – S. Pereira, A. Pinto, V. Alves, C. A. Silva, "Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images". IEEE Transactions on Medical Imaging, vol. 35, no. 5, pp. 1240-1251, May 2016, 2016.