scholarly journals Hybrid technique of virtual-assisted lung mapping and systemic indocyanine green injection for extended segmentectomy

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Masahiro Yanagiya ◽  
Noriko Hiyama ◽  
Jun Matsumoto
Keyword(s):  
Indocyanine Green ◽  
Hybrid Approach ◽  
Lung Nodule ◽  
Adenocarcinoma In Situ ◽  
Hybrid Technique ◽  
Medical Checkup ◽  
Resection Line ◽  
Intersegmental Plane ◽  
Computed Tomography Image ◽  
Dye Marking

Abstract Background Various approaches have been used to assist and facilitate segmentectomy with favorable oncological outcomes. We describe a hybrid approach comprising virtual-assisted lung mapping (VAL-MAP), which is a preoperative bronchoscopic dye-marking technique, combined with systemic indocyanine green (ICG) injection. Clinical presentation An asymptomatic 64-year-old man was referred to our department because of a lung nodule detected during his annual medical checkup. The chest computed-tomography image revealed a 16-mm, partly solid, ground-glass nodule in the left segment 4. Because the nodule was hardly palpable and deeply located between the left upper division segment and the left lingular segment, we performed VAL-MAP to facilitate extended left lingulectomy. Five dye markings were undertaken preoperatively. Surgery to remove the nodule was then conducted via complete three-port video-assisted thoracic surgery. The VAL-MAP markings were easily identified intraoperatively and helped locate the nodule. The intersegmental plane was identified by the ICG injection. The resection line was determined based on the intersegmental plane identified by the ICG injection and the site of the nodule suggested by the VAL-MAP markings. Following the resection line, we thoracoscopically achieved extended lingulectomy with sufficient surgical margins. The patient was discharged with no complications. The pathological diagnosis was adenocarcinoma in situ. Conclusion The hybrid technique of VAL-MAP and systemic ICG injection can be useful for accomplishing successful extended segmentectomy.

scholarly journals Simultaneous visualization of pulmonary nodules and intersegmental planes on fluorescent images in pulmonary segmentectomy

2020 ◽  
Vol 58 (Supplement_1) ◽  
pp. i77-i84
Author(s):  
Yeasul Kim ◽  
Jiyun Rho ◽  
Yu Hua Quan ◽  
Byeong Hyeon Choi ◽  
Kook Nam Han ◽  
...  
Keyword(s):  
Indocyanine Green ◽  
Resection Margin ◽  
Pulmonary Nodules ◽  
Resection Margins ◽  
Adenocarcinoma In Situ ◽  
Segmental Artery ◽  
Mean Size ◽  
Intersegmental Plane ◽  
The Mean

Abstract OBJECTIVES The technique of simultaneously visualizing pulmonary nodules and the intersegmental plane using fluorescent images was developed to measure the distance between them intraoperatively. METHODS Patients who underwent pulmonary segmentectomy were consecutively included in this study between March 2016 and July 2019. Computed tomography or electromagnetic bronchoscopy-guided localization with indocyanine green–lipiodol emulsion was performed on the day of surgery. In the middle of the surgery, after dividing the segmental artery, vein and bronchus to a targeted segment, 0.3–0.5 mg/kg of indocyanine green was injected intravenously. RESULTS In total, 31 patients (17 men and 14 women with a mean age of 63.2 ± 9.8 years) were included in this study. The mean size and depth of the nodules were 1.2 ± 0.5 (range 0.3–2.5) cm and 16.4 ± 9.9 (range 1.0–42.0) mm, respectively. Pulmonary nodules and intersegmental plane of all the patients were visualized using a fluorescent thoracoscope. The resection margins were more than the size of the tumour or were 2 (mean 2.4 ± 1.2) cm in size in all patients except one. The resection margin of this patient looked sufficient on the intraoperative view. However, adenocarcinoma in situ at the resection margin was identified based on the pathological report. The mean duration of the operation was 168.7 ± 53.3 min, and the chest tube was removed on an average of 4.7 ± 1.8 days after surgery in all patients. CONCLUSIONS The dual visualization technique using indocyanine green could facilitate an easier measurement of the distance between pulmonary nodules and the intersegmental plane during pulmonary segmentectomy.

scholarly journals Initial experience of virtual-assisted lung mapping utilizing both indocyanine green and indigo carmine

2021 ◽  
Author(s):  
Masahiro Yanagiya ◽  
Yoko Amano ◽  
Noriko Hiyama ◽  
Jun Matsumoto
Keyword(s):  
Indocyanine Green ◽  
Indigo Carmine ◽  
Initial Experience ◽  
Marking Technique ◽  
Dye Marking ◽  
Pulmonary Tumors ◽  
Lung Resections

AbstractVirtual-assisted lung mapping is a bronchoscopic multiple dye marking technique that facilitates sublobar lung resections for unidentifiable pulmonary tumors. Marking failure reportedly occurs in 10% of cases. To overcome this limitation, we developed indocyanine green virtual-assisted lung mapping that uses indocyanine green in addition to indigo carmine. Here, we report our initial experience of indocyanine green virtual-assisted lung mapping.

scholarly journals Lifting restrictions on coherence loss when characterizing non-transparent hypersonic phononic crystals

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Konrad Rolle ◽  
Dmytro Yaremkevich ◽  
Alexey V. Scherbakov ◽  
Manfred Bayer ◽  
George Fytas
Keyword(s):  
Frequency Domain ◽  
Hybrid Approach ◽  
Three Dimensional ◽  
Phononic Crystals ◽  
Hybrid Technique ◽  
Detection Mechanism ◽  
Pump Probe ◽  
Fabry Perot ◽  
Multilayer Stacks ◽  
Deposition Techniques

AbstractHypersonic phononic bandgap structures confine acoustic vibrations whose wavelength is commensurate with that of light, and have been studied using either time- or frequency-domain optical spectroscopy. Pulsed pump-probe lasers are the preferred instruments for characterizing periodic multilayer stacks from common vacuum deposition techniques, but the detection mechanism requires the injected sound wave to maintain coherence during propagation. Beyond acoustic Bragg mirrors, frequency-domain studies using a tandem Fabry–Perot interferometer (TFPI) find dispersions of two- and three-dimensional phononic crystals (PnCs) even for highly disordered samples, but with the caveat that PnCs must be transparent. Here, we demonstrate a hybrid technique for overcoming the limitations that time- and frequency-domain approaches exhibit separately. Accordingly, we inject coherent phonons into a non-transparent PnC using a pulsed laser and acquire the acoustic transmission spectrum on a TFPI, where pumped appear alongside spontaneously excited (i.e. incoherent) phonons. Choosing a metallic Bragg mirror for illustration, we determine the bandgap and compare with conventional time-domain spectroscopy, finding resolution of the hybrid approach to match that of a state-of-the-art asynchronous optical sampling setup. Thus, the hybrid pump–probe technique retains key performance features of the established one and going forward will likely be preferred for disordered samples.

scholarly journals P2.17-26 Indocyanine Green Virtual Assisted Lung Mapping (ICG-VAL-MAP): Anyone Can Perform a Successful Preoperative Marking for a Small Lung Nodule

2019 ◽  
Vol 14 (10) ◽  
pp. S894
Author(s):  
T. Chen-Yoshikawa ◽  
S. Tanaka ◽  
Y. Yamada ◽  
Y. Yuataka ◽  
D. Nakajima ◽  
...  
Keyword(s):  
Indocyanine Green ◽  
Lung Nodule ◽  
Preoperative Marking

scholarly journals cHybriDroid: A Machine Learning-Based Hybrid Technique for Securing the Edge Computing

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Afifa Maryam ◽  
Usman Ahmed ◽  
Muhammad Aleem ◽  
Jerry Chun-Wei Lin ◽  
Muhammad Arshad Islam ◽  
...  
Keyword(s):  
Machine Learning ◽  
Hybrid Approach ◽  
Malware Detection ◽  
Edge Computing ◽  
Cloud Services ◽  
Hybrid Technique ◽  
Dynamic Features ◽  
Hybrid Features ◽  
Android Malware ◽  
Detection Techniques

Smart phones are an integral component of the mobile edge computing (MEC) framework. Securing the data stored on mobile devices is very crucial for ensuring the smooth operations of cloud services. A growing number of malicious Android applications demand an in-depth investigation to dissect their malicious intent to design effective malware detection techniques. The contemporary state-of-the-art model suggests that hybrid features based on machine learning (ML) techniques could play a significant role in android malware detection. The selection of application’s features plays a very crucial role to capture the appropriate behavioural patterns of malware instances for a useful classification of mobile applications. In this study, we propose a novel hybrid approach to detect android malware, wherein static features in conjunction with dynamic features of smart phone applications are employed. We collect these hybrid features using permissions, intents, and run-time features (such as information leakage, cryptography’s exploitation, and network manipulations) to analyse the effectiveness of the employed techniques for malware detection. We conduct experiments using over 5,000 real-world applications. The outcomes of the study reveal that the proposed set of features has successfully detected malware threats with 97% F-measure results.

scholarly journals Use of indocyanine green to facilitate intersegmental plane identification during robotic anatomic segmentectomy

2014 ◽  
Vol 148 (2) ◽  
pp. 737-738 ◽  
Author(s):  
Alessandro Pardolesi ◽  
Giulia Veronesi ◽  
Piergiorgio Solli ◽  
Lorenzo Spaggiari
Keyword(s):  
Indocyanine Green ◽  
Intersegmental Plane

scholarly journals Lung Nodule Detection using Segmentation Approach for Computed Tomography Scan Images

2021 ◽  
Vol 9 (9) ◽  
pp. 1778-1790
Author(s):  
Henil Satra
Keyword(s):  
Computed Tomography ◽  
Image Processing ◽  
Ct Scan ◽  
Lung Nodule ◽  
Morphological Operations ◽  
Lung Nodule Detection ◽  
Contour Segmentation ◽  
Nodule Detection ◽  
Segmentation Approach ◽  
Computed Tomography Image

Abstract: Lung disorders have become really common in today’s world due to growing amount of air pollution, our increased exposure to harmful radiations and our unhealthy lifestyles. Hence, the diagnosis of lung disorders has become of paramount importance. The commonly used Thresholding approaches and morphological operations often fail to detect the peripheral pathology bearing areas. Hence, we present the segmentation approach of the lung tissue for computer aided diagnosis system. We use a novel technique for segmentation of lungs from CT scan (Computed Tomography) of the chest or upper torso. The accuracy of analysis and its implication majorly depends on the kind of segmentation technique used. Hence, it is important that the method used is highly reliable and is successful in nodule detection and classification. We use MATLAB and OpenCV libraries to apply segmentation on CT scan images to get the desired output. We have also created a working proprietary user interface called “PULMONIS” for the ease of doctors and patients to upload the CT scan images and get the output after the image processing is done in the backend. Keywords: Lung nodule detection, Image Processing, Computed Tomography, Image Segmentation, Lung Cancer, Contour Segmentation, MATLAB, OpenCV, Computer Vision.

Pulsed Laser-Based Hybrid Microscribing of Cu and Al in Salt Solution

2020 ◽  
Vol 8 (3) ◽  
Author(s):  
Sooraj Shiby ◽  
Nammi Srinagalakshmi ◽  
Nilesh J. Vasa ◽  
Shigeki Matsuo ◽  
Muralidhar Miryala
Keyword(s):  
Salt Solution ◽  
Electrochemical Etching ◽  
Hybrid Approach ◽  
Pulsed Laser ◽  
Surface Oxidation ◽  
Hybrid Technique ◽  
Neutral Salt ◽  
Salt Solutions ◽  
Laser Scribing ◽  
Selective Area

Abstract The influence of a subnanosecond pulsed laser-based scribing of copper (Cu) and aluminum (Al) in salt solutions (NaCl and KCl) on the formation of microchannels is reported. This technique allows laser scribing along with selective etching of Cu and Al thin films. The focused laser beam can elevate the surface temperature on the sample and hence the chemical reaction rate, resulting in combined ablation with selective-area etching. The depth of microchannels in Cu and Al films is increased by 3–5 μm using the proposed hybrid technique. The average surface roughness values in the microchannel are decreased compared to that of scribing in water and air. The hybrid approach of laser-based scribing combined with electrochemical etching in neutral salt solutions allows uniform channel with almost no redeposit layer and debris on the channel edges. Further, an approach wherein, an application of direct current (DC) voltage (1.2 V) between the tool and the workpiece while laser scribing of Cu and Al in salt solution was demonstrated to improve the channel depth by few micrometers. This hybrid machining technique has also resulted in a reduction in the surface oxidation near the laser-ablated zone compared to that observed in air and water-based experiments.

Sign in / Sign up

Export Citation Format

Share Document