Smart Lung Tumor Prediction Using Dual Graph Convolutional Neural Network

A significant advantage of medical image processing is that it allows non-invasive exploration of internal anatomy in great detail.It is possible to create and study 3D models of anatomical structures to improve treatment outcomes,develop more effective medical devices,or arrive at a more accurate diagnosis.This paper aims to present a fused evolutionary algorithm that takes advantage of both whale optimization and bacterial foraging optimization to optimize feature extraction.The classification process was conducted with the aid of a convolu-tional neural network(CNN)with dual graphs.Evaluation of the performance of the fused model is carried out with various methods.In the initial input Com-puter Tomography(CT)image,150 images are pre-processed and segmented to identify cancerous and non-cancerous nodules.The geometrical,statistical,struc-tural,and texture features are extracted from the preprocessed segmented image using various methods such as Gray-level co-occurrence matrix(GLCM),Histo-gram-oriented gradient features(HOG),and Gray-level dependence matrix(GLDM).To select the optimal features,a novel fusion approach known as Whale-Bacterial Foraging Optimization is proposed.For the classification of lung cancer,dual graph convolutional neural networks have been employed.A com-parison of classification algorithms and optimization algorithms has been con-ducted.According to the evaluated results,the proposed fused algorithm is successful with an accuracy of 98.72%in predicting lung tumors,and it outper-forms other conventional approaches.

A phase I radiation dose escalation of stereotactic body radiotherapy for malignant lung tumors

Objectives: This Phase I study determines the maximum tolerated dose (MTD) of stereotactic body radiotherapy (SBRT) for lung tumors. Methods: Eli- gible patients had biopsy proven cancer with a maxi- mum tumor size ≤ 5 cm. Total doses were escalated from 40 to 48, then to 56 Gy, delivered in 4 equal fractions administered 2 to 3 times per week on an IRB approved protocol. SBRT was administered us- ing 5 to 9 fixed beam arrangements with CT loca- lization. Internal target volumes (ITV) were based on breath hold scans or 4D CT simulation. The planning target volume (PTV) was defined as the ITV with a uniform 5 mm expansion. Dose limiting toxicity (DLT) was defined as any grade 3 or higher toxicity using the Radiation Therapy Oncology Group (RTOG) common toxicity criteria (CTC). Results: Between April 2004 and February 2008, 18 patients received the prescribed treatment (40 Gy n = 6, 48 Gy n = 7, 56 Gy n = 5). Seventeen of 18 patients had non-small cell lung cancer (1 with rectal cancer), four of whom were treated for an oligometastasis. The median age of the patients was 68, while the median Karnofsky performance status was 90. The mean tumor size was 2.6 cm (range 0.9 to 4.5 cm). One grade 3 pulmonary event occurred (at 48 Gy dose level) immediately following treatment with the onset of fever and shortness of breath that responded to antibiotics. No other DLTs occurred. Conclusions: SBRT utilizing patient specific target volumes without gating appears safe. The maximum tolerated dose was not reached.

Effects of combined treatment of bronchial arterial chemoembolization and radioactive particle implantation on tumor markers and T lymphocyte subsets in locally advanced non-small cell lung cancer

Objective: To investigate the effects of bronchial arterial chemoembolization combined with radioactive particle implantation on the level of serum tumor markers and T lymphocyte subsets in patients with locally advanced non-small cell lung cancer. Methods: A total of 91 cases of locally advanced non-small cell lung cancer patients according to the random data table were divided into the control group (n=45) and observation group (n=46) according to the random data table. Patients in the control group was treated with bronchial arterial chemoembolization, on the basis of the control group, patients in the observation group were treated with radioactive particle implantation, the serum tumor markers and T lymphocyte subsets of the two groups were compared before and after treatment. Results: The levels of CEA, NSE, CA125, CD4+, CD8+, CD4+/CD8+ and NK in the two groups before the treatment were not statistically significant. Compared with the group before treatment, levels of CEA, NSE, CA125and CD8+ of the two groups after treatment were significantly decreased, and after treatment the level of CEA, NSE, CA125and CD8+ in the observation group was significantly lower than those of the control group;The levels of CD4+, CD4+/CD8+ and NK in the two groups after treatment were significantly higher than those in the group before treatment, and the observation group levels were significantly higher than those of the control group. Conclusion: Bronchial artery embolization combined with radioactive particle implantation for locally advanced non-small cell lung cancer, can effectively reduce the serum tumor markers level, improve the level of T cell subsets of patients, has important clinical value.

The results and prognosis of different treatment modalities for solitary metastatic lung tumor from nasopharyngeal carcinoma:a retrospective study of 105 cases

Background and Objective:Nasopharyngeal carcinoma (NPC) is known for its propensity for distant metastases.Lung metastasis is one of the most important causes of death for patients with NPC.Solitary metastatic lung tumor from NPC is a distinctive group associated with a better survival.This study was to find a more effective treatment modality and prognostic factors for the group.Methods:Clinical data of 105 cases of solitary metastatic lung tumor from NPC were retrospectively analyzed.Survival rate was calculated by the Kaplan-Meier method.The difference of survival between the patients treated by different modalities was evaluated by the log-rank test.The Cox univariate and multivariate analyses of gender, age, pathologic type, stage, adjuvant chemotherapy, evaluation of treatment for NPC, disease-free interval, size of metastatic tumor, pulmonary hilar and/or mediastinal lymph node metastasis, treatment modalities, recurrent distant metastases and/or relapse of NPC were conducted.Results:The local control rate was 53.8% in chemotherapy group, 88.0% in radiotherapy +/-chemotherapy group, and 96.4% in operation +/-chemotherapy group (P<0.01).The most promising progression-free survival (PFS) and overall survival (OS) were obtained with operation +/-chemotherapy and followed by radiotherapy +/-chemotherapy.Both of them showed much better efficacy than chemotherapy (P<0.001).The Cox multivariate analysis showed that recurrent distant metastases and/or relapse of NPC affected the survival (OR=2.087, 95% CI=1.277-3.410, P=0.003).The T stage of NPC, size of metastatic tumor, hilar and/or mediastinal lymph node metastasis, and the treatment modality were independent prognostic factors.Conclusions:Operation +/-chemotherapy and radiotherapy +/-chemotherapy are better treatment of solitary metastatic lung tumor from NPC, which could improve the local control and prolong the PFS and OS.Chemotherapy is recommended for patients with higher T stage of NPC, size of metastatic tumor ≥3 cm, pulmonary hilar and/or mediastinal lymph node metastasis.

Therapeutic effects of radio frequency ablation in lung tumor treatment

Objective:To assessthetherapeuticeffectsof radiofrequencyablation(RFA)inthetreatmentof patientswith unresectablemalignantlung tumors.Methods:Twentypatientswithprimaryor metastaticmalignantlungtumorsreceived RFAtreatment,andimaginganalysiswithCT,X-rayandpositionemissiontomograghy(PET)was performed1weekbe-foreand1to2weeksaftertreatment.Results and Conclusion:Postoperativefeveroccurredin6patientsandpneuma-tothoraxduringtheRFAprocedureswasfoundin5patients.PETdemonstratedthattumorssmallerthan3.5cm indiame-ter,whichis thegeneralcoverageof theRFAsystemwe adopted,dissipatedafterRFA,andtheproportionof the largertu-morswithinRFAcoveragewasdestroyed,whiletherestoutsideremainedintact.PETis currentlythemostreliabletech-niqueto observetheshort-termtherapeuticeffectsof RFAon tumorsincomparisonwithotherimagingapproaches.

A Half-Arc Multiple Deep-Inspiration Breath-Hold Volumetric Modulated Arc Therapy for a Lung Tumor with 10 MV Flattening-Filter-Free Beams and an Image Sensor Measuring a Distance Map to Thorax Surface: An Initial Clinical Experience

A technique for multiple deep-inspiration breath-hold (DIBH) volumetric modulated arc therapy (VMAT) for a lung tumor has been proposed with 10 MV flattening-filter-free beams and an image sensor measuring a distance map to thorax surface. Planning CT images were acquired under a DIBH condition and a clinical target volume (CTV) was contoured. This procedure was repeated five times and an internal target volume (ITV) among the multiple DIBHs was created by integrating the five CTVs. A planning target volume (PTV) was defined by adding an isotropic margin of 5 mm to the ITV. Immediately before treatment, a 30-second half-arc cone-beam computer tomography (CBCT) imaging was performed under another DIBH condition, and the couch was repositioned so that tumor may be located inside the PTV contours. An infrared distance measurement device having laser diodes and an image sensor was attached to the couch, and a distance map to the patient thorax surface was recorded as a reference during still another DIBH condition. A half-arc segmented VMAT beams with two beam interrupts were delivered to the patient under multiple DIBHs, where the delivery time of each of the three segmented beams was 30 seconds. During the beam delivery, the distance map was monitored in real time to confirm that the distance to the thorax surface remained unchanged. In-treatment CBCT images suggested that the tumor position at the time of tumor registration was accurately reproduced during the DIBH VMAT delivery.

Effects of Yiqi Gu Ben Decoction combined with DC chemotherapy on serum tumor markers, inflammatory factors and immune function in patients with locally advanced non-small cell lung cancer

Objective: To investigate the effects of Yiqi Gu decoction combined with DC chemotherapy on serum tumor markers, inflammatory factors and immune function in patients with locally advanced non-small cell lung cancer. Methods: A total of 95 patients with locally advanced non-small cell lung cancer were selected as the research objects, according to the random data table they were divided into control group (n=48) and observation group (n=47), patients in the control group were given DC chemotherapy, On the basis of this treatment, the patients in the observation group were given Yiqi Gu decoction treatment, Comparison of the levels of serum tumor markers [antigen (CEA) and carbohydrate antigen 19-9 (CA19-9)], inflammatory factor [C reactive protein (CRP) and tumor necrosis factor-α (TNF-α)] and immune function (CD3+, CD4+, CD8+, CD4+/CD8+)Results: Before treatment, there were no significant difference in the levels of CEA, CA19-9, CRP, TNF-α, CD3+, CD4+, CD8+, CD4+/CD8+ between the two groups;After treatment, the CEA, CA19-9, CRP, TNF-α, CD8+ levels of two groups were significantly lower than those in the same group before treatment, and the decreased range in observation group was significantly higher than the control group, moreover the levels after treatment were obviously lower than control group;After treatment, the levels of CD3+, CD4+, CD4+/CD8+ in the observation group were (64.72±5.25)% , (39.51±5.14)% and (1.35±0.27), which were significantly higher than the same group before treatment, and significantly higher than the control group [(58.57±5.09)%, (31.34±5.06)%, (1.14±0.33)], differences were statistically significant. Conclusion: DC chemotherapy combined with Yiqi Guben Decoction in the treatment of locally advanced non-small cell lung cancer, can effectively reduce the serum tumor marker levels, decrease inflammatory stress, improve immune function, has an important clinical value.

Efficacy of 5-Fluorouracil and High-Concentration Cisplatin Suspended in Lipiodol by Short-Term Hepatic Arterial Infusion Chemotherapy for Advanced Hepatocellular Carcinoma with Portal Vein Tumor Thrombosis

Background: Since advanced hepatocellular carcinoma (HCC) is potentially fatal, and patients’ quality of life (QOL) often deteriorates during their treatment, improving the prognosis and QOL of patients given chemotherapy is very important. In addition, cost-effective treatments are highly desirable when chemotherapy must be given repeatedly. The aim of this study was to evaluate the efficacy and usefulness of 5-fluorouracil (5-FU) and high-concentration cisplatin by short-term hepatic arterial infusion chemotherapy (3-day FPL) in advanced HCC patients. Methods: Thirty patients with unresectable advanced HCC were enrolled. The patients underwent hepatic arterial infusion chemotherapy via the implanted port system with 5-FU on days 1 - 3 and a fine-powder formulation of cisplatin in suspended pre-warmed lipiodol on day 2 every 4 to 10 weeks. Tumor response was assessed one month later with CT. Results: All patients had evidence of portal vein invasion (Vp2-4). Four patients achieved a complete response (CR), 8 patients achieved a partial response (PR), and 7 patients had stable disease (SD). The median progression-free survival (PFS) and overall survival (OS) were 198 days and 452 days, respectively. The OS was significantly longer in the successful disease control group (CR, PR, and SD) than in the progressive disease group (P < 0.005). Conclusions: Three-day FPL was effective and tolerable in advanced HCC patients due to its shorter time of administration than conventional FP therapy. Therefore, repetitive 3-day FPL appears useful and contributes to improving the prognosis and QOL of patients with advanced HCC. In addition, this protocol is a cost-effective treatment.

The recruitment of exogenous endothelial progenitor cells in lung tumor model of nude mice

Background and Objective: Endothelial progenitor cells (EPCs) play an important role in hypoxia-triggered tumor vasculogenesis. However, the homing of exogenous EPCs in tumors is still unclear. In this study, we investigated the recruitment of exogenous EPCs in human lung adenocarcinoma model of nude mice. Methods: EPCs labeled with green fluorescence protein (GFP) were transplanted into nude mice bearing human lung adenocarcinoma. The growth of tumor was observed. After the mice were killed, GFP-EPCs in different tissues were examined by fluorescence. The tumor tissues were stained for CD133, hypoxia-inducible factor-1alpha (HIF-1α), stromal cell-derived factor-1α (SDF-1α), and vascular endothelial growth factor receptor (KDR). Real-time polymerase chain reaction of CD133, HIF-1α, SDF-1α, and VEGF-1 were also performed. Results: The growth of tumor in EPC group was significantly faster than that in saline solution group (P < 0.05). Under fluorescence microscope, GFP-EPCs were strongly expressed in both tumor and bone marrow. EPCs were recruited to the tumor periphery to participate in tumor vasculogenesis. The expression of CD133, HIF-1α, and SDF-1 mRNA in tumor and bone marrow were significantly higher than that in the liver, spleen, and skin (P < 0.05). Conclusions: Exogenous EPCs can be recruited to tumor and accelerate tumor growth. Except tumor, bone marrow can also recruit EPCs.

Recent standardization of treatment strategy for pancreatic neuroendocrine tumors

Recent advances in localization techniques,such as the selective arterial secretagogue injection test(SASI test) and somatostatin receptor scintigraphy have promoted curative resection surgery for patients with pancreatic neuroendocrine tumors(PNET).For patients with sporadic functioning PNET,curative resection surgery has been established by localization with the SASI test using secretin or calcium.For curative resection of functioning PNET associated with multiple endocrine neoplasia type 1(MEN 1) which are usually multiple and sometimes numerous,resection surgery of the pancreas and/or the duodenum has to be performed based on localization by the SASI test.As resection surgery of PNET has increased,several important pathological features of PNET have been revealed.For example,in patients with Zollinger-Ellison syndrome(ZES),duodenal gastrinoma has been detected more frequently than pancreatic gastrinoma,and in patients with MEN 1 and ZES,gastrinomas have been located mostly in the duodenum,and pancreatic gastrinoma has been found to co-exist in 13% of patients.Nonfunctioning PNET in patients with MEN 1 becomes metastatic to the liver when it is more than 1 cm in diameter and should be resected after careful observation.The most important prognos-tic factor in patients with PNET is the development of hepatic metastases.The treatment strategy for hepatic metastases of PNET has not been established and aggressive resection with chemotherapy and trans-arterial chemoembolization have been performed with significant benefit.The usefulness of octreotide treatment and other molecular targeting agents are currently being assessed.

Performance of risk stratification systems for gastrointestinal stromal tumors: A multicenter study

BACKGROUND Gastrointestinal stromal tumors(GISTs) are the most common mesenchymal tumor type in the gastrointestinal system. Presently, various classification systems to prognosticate GISTs have been proposed.AIM To evaluate the application value of four different risk stratification systems for GISTs.METHODS Patients who were diagnosed with GISTs and underwent surgical resection at four hospitals from 1998 to 2015 were identified from a database. Risk of recurrence was stratified by the modified National Institute of Health(NIH)criteria, the Armed Forces Institute of Pathology(AFIP) criteria, the Memorial Sloan Kettering Cancer Center(MSKCC) prognostic nomogram, and the contour maps. Receiver operating characteristic(ROC) curves were established to compare the four abovementioned risk stratification systems based on the area under the curve(AUC).RESULTS A total of 1303 patients were included in the study. The mean age of the patients was 55.77 ± 13.70 yr; 52.3% of the patients were male. The mean follow-up period was 64.91 ± 35.79 mo. Approximately 67.0% the tumors were located in the stomach, and 59.5% were smaller than 5 cm; 67.3% of the patients had a mitotic count ≤ 5/50 high-power fields(HPFs). Thirty-four tumors ruptured before and during surgery. Univariate analysis demonstrated that tumor size > 5 cm(P <0.05), mitotic count > 5/50 HPFs(P < 0.05), non-gastric location(P < 0.05), and tumor rupture(P < 0.05) were significantly associated with increased recurrence rates. According to the ROC curve, the AFIP criteria showed the largest AUC(0.754).CONCLUSION According to our data, the AFIP criteria were associated with a larger AUC than the NIH modified criteria, the MSKCC nomogram, and the contour maps, which might indicate that the AFIP criteria have better accuracy to support therapeutic decision-making for patients with GISTs.

New Insights on Stimulating the Lung Meridian Based on Modern Neurophysiology

Chronic obstructive pulmonary diseases (COPD) caused 3.2 million deaths worldwide in 2015 [1]. Therapeutic treatments, including acupuncture & herbal medicine have been applied to handle this disease with certain efficacies in the domain of traditional Chinese Medicine. However, very few analyses on the mechanisms behind the efficacies can be found in literature. Without understanding the basic mechanisms behind any medical treatment is the bottle-neck to advancement of possibly effective therapy of any kind. Based on this argument, we start off a series of studies on the neurophysiological consequence of acupuncture/acupressure applied to the Lung Meridian. We explain how the sensory signals (by sympathetic nerves) follow the spinothalamic tracts to the thalamus and then to the primary sensory cortex. The neurons of these ascending tracts synapse the motor neurons which activate some of the different organs of the respiratory system—diaphragm, nose, larynx, scalene muscles, trachea, lungs, intercostal and supporting abdominal muscles. The sensory signals at the neo-cortex are then passed on to the motor neurons in the primary motor cortex. The activated neurons project mainly along two descending tracts: anterior and lateral corticospinal tracts. Neurons of these tracts project to activate again some of the respiratory organs, plus the motors neurons related to the digestive system, including the large intestine. On the other hand, an intrinsic, automatic breathing system in the brainstem sends rhythmic signals through the bulbospinal tract system, which contains a special type of neurons—the pre-sympathetic neurons. These neurons, via interneuron relay, synapse motor neurons which mobilize the organs of the respiratory organs to function. Since the “Lung Meridian induced” signals and the intrinsic signals are sent by different types of neurons, we propose that stimulating the Lung Meridian might activate/supplement the action of the intrinsic system during some pathological states. Though the initial suggestion is supported by in vitro/(in vivo) experiments in detailed steps, clinical trials await future development.

Detection of Lung Tumor Using ASPP-Unet with Whale Optimization Algorithm

The unstructured growth of abnormal cells in the lung tissue creates tumor.The early detection of lung tumor helps the patients avoiding the death rate and gives better treatment.Various medical image modalities can help the physicians in the diagnosis of disease.Many research works have been proposed for the early detection of lung tumor.High computation time and misidentification of tumor are the prevailing issues.In order to overcome these issues,this paper has proposed a hybrid classifier of Atrous Spatial Pyramid Pooling(ASPP)-Unet architecture withWhale Optimization Algorithm(ASPP-Unet-WOA).To get a fine tuning detection of tumor in the Computed Tomography(CT)of lung image,this model needs pre-processing using Gabor filter.Secondly,feature segmentation is done using Guaranteed Convergence Particle Swarm Optimization.Thirdly,feature selection is done using Binary Grasshopper Optimization Algorithm.This proposed(ASPPUnet-WOA)is implemented in the dataset of National Cancer Institute(NCI)Lung Cancer Database Consortium.Various performance metric measures are evaluated and compared to the existing classifiers.The accuracy of Deep Convolutional Neural Network(DCNN)is 93.45%,Convolutional Neural Network(CNN)is 91.67%,UNet obtains 95.75%and ASPP-UNet-WOA obtains 98.68%.compared to the other techniques.

Oncogenic Osteomalacia Associated with Phosphaturic Mesenchymal Tumor of the Knee: Case Presentation and Review of the Literature

Oncogenic osteomalacia (OOM) is an uncommon metabolic and bone disease caused by fibroblast growth factor 23 (FGF23), a phosphaturic factor produced by phosphaturic mesenchymal tumors (mixed connective tissue variant, PMTMCTV) characterized by phosphate leakage from kidneys and subsequent hypophosphatemia. In this paper, we present the case of a patient, 42-year-old woman affected by left side limp and pain involving lumbar spine, pelvis and hip joints, referred to the Rheumatology Department of our Hospital for the treatment of a suspected sero-negative spondilo-arthritis. During hospitalization patient began an immuno-suppressive therapy with TNF-alpha inhibitors associated with Pamidornate, Indometacin, Esomeprazole and vitamin D3. Nevertheless pain did not decrease and a new examination found a worst hypophosphatemia (1 mg/dl) with normal Ca and PTH’s plasma values. During the same check-up a painful bulge on the anterior part of the right knee was observed and the Magnetic Resonance Imaging scan revealed an ovular solid lesion in the soft tissue closed to the upper part of the patella. Histological analysis identified the lesion as a PMTMCTV. After surgical removal patient got complete recovery. We will discuss about diagnostic evaluation, differential diagnosis and treatment.

Adeno-associated virus mediated endostatin gene therapy in combination with topoisomerase inhibitor effectively controls liver tumor in mouse model

AIM:rAAV mediated endostatin gene therapy has been examined as a new method for treating cancer.However, a sustained and high protein delivery is required to achieve the desired therapeutic effects.We evaluated the impact of topoisomerase inhibitors in rAAV delivered endostatin gene therapy in a liver tumor model. METHODS:rAAV containing endostatin expression cassettes were transduced into hepatoma cell lines.To test whether the topoisomerase inhibitor pretreatment increased the expression of endostatin,Western blotting and ELISA were performed.The biologic activity of endostatin was confirmed by endothelial cell proliferation and tube formation assays. The anti-tumor effects of the rAAV-endostatin vector combined with a topoisomerase inhibitor,etoposide,were evaluated in a mouse liver tumor model. RESULTS:Topoisomerase inhibitors,including camptothecin and etoposide,were found to increase the endostatin exPression level in vitro.The over-expressed endostatin, as a result of pretreatment with a topoisomerase inhibitor, was also biologically active.In animal experiments,the combined therapy of topoisomerase inhibitor,etoposide with the rAAV-endostatin vector had the best tumor- suppressive effect and tumor foci were barely observed in livers of the treated mice.Pretreatment with an etoposide increased the level of endostatin in the liver and serum of rAAV-endostatin treated mice.Finally,the mice treated With rAAV-endostatin in combination with etoposide showed the longest survival among the experimental models. CONCLUSION:rAAV delivered endostatin gene therapy in combination with a topoisomerase inhibitor pretreatment is an effective modality for anticancer gene therapy.

Lipopolysaccharide triggers nuclear import of Lpcat1 to regulate inducible gene expression in lung epithelia

AIM:To report that Lpcat1 plays an important role in regulating lipopolysaccharide (LPS) inducible gene tran-scription. METHODS:Gene expression in Murine Lung Epithelial MLE-12 cells with LPS treatment or Haemophilus influenza and Escherichia coli infection was analyzed by employing quantitative Reverse Transcription Polymerase Chain Reaction techniques. Nucleofection was used to deliver Lenti-viral system to express or knock down Lpcat1 in MLE cells. Subcellular protein fractionation and Western blotting were utilized to study Lpcat1 nuclear relocation. RESULTS:Lpcat1 translocates into the nucleus from thecytoplasm in murine lung epithelia (MLE) after LPS treatment. Haemophilus influenza and Escherichia coli , two LPS-containing pathogens that cause pneumonia, triggered Lpcat1 nuclear translocation from the cytoplasm. The LPS inducible gene expression profile was determined by quantitative reverse transcription polymerase chain reaction after silencing Lpcat1 or overexpression of the enzyme in MLE cells. We detected that 17 out of a total 38 screened genes were upregulated, 14 genes were suppressed, and 7 genes remained unchanged in LPS treated cells in comparison to controls. Knockdown of Lpcat1 by shRNA dramatically changed the spectrum of the LPS inducible gene transcription, as 18 genes out of 38 genes were upregulated, of which 20 genes were suppressed or unchanged. Notably, in Lpcat1 overex-pressed cells, 25 genes out of 38 genes were reduced in the setting of LPS treatment.CONCLUSION:These observations suggest that Lpcat1 relocates into the nucleus in response to bacterial infection to differentially regulate gene transcriptional repression.

Early Diagnosis of Lung Tumors for Extending Patients’ Life Using Deep Neural Networks

The medical community has more concern on lung cancer analysis.Medical experts’physical segmentation of lung cancers is time-consuming and needs to be automated.The research study’s objective is to diagnose lung tumors at an early stage to extend the life of humans using deep learning techniques.Computer-Aided Diagnostic(CAD)system aids in the diagnosis and shortens the time necessary to detect the tumor detected.The application of Deep Neural Networks(DNN)has also been exhibited as an excellent and effective method in classification and segmentation tasks.This research aims to separate lung cancers from images of Magnetic Resonance Imaging(MRI)with threshold segmentation.The Honey hook process categorizes lung cancer based on characteristics retrieved using several classifiers.Considering this principle,the work presents a solution for image compression utilizing a Deep Wave Auto-Encoder(DWAE).The combination of the two approaches significantly reduces the overall size of the feature set required for any future classification process performed using DNN.The proposed DWAE-DNN image classifier is applied to a lung imaging dataset with Radial Basis Function(RBF)classifier.The study reported promising results with an accuracy of 97.34%,whereas using the Decision Tree(DT)classifier has an accuracy of 94.24%.The proposed approach(DWAE-DNN)is found to classify the images with an accuracy of 98.67%,either as malignant or normal patients.In contrast to the accuracy requirements,the work also uses the benchmark standards like specificity,sensitivity,and precision to evaluate the efficiency of the network.It is found from an investigation that the DT classifier provides the maximum performance in the DWAE-DNN depending on the network’s performance on image testing,as shown by the data acquired by the categorizers themselves.

A Novel Apprehension of the Primary Lung Meridian, Sinew Channel, Divergent Channel, Luo-Connecting Channel Acting as a Single Unit System to Serve Respiration Function Based on Modern Neurophysiology and Kinesiology

The TCM philosophy of a meridian and associated channels pertains to the specific function of one or more organs. We define the Lung Primary Meridian (LUM) together with the Lung Sinew (LUSC), Divergent (LUDC), Luo-connecting (LULCC) Channels as a system of routes plus some parts of the body (such as muscles) to fulfil respiration, as a main function under different situations. There is very limited information about the Lung associated channels in classical literature of TCM. With a clear focus on the function of respiration, we have carried out a detailed analysis of the biomedical consequence of stimulating the LUM, analysed the roles played by LUSC, LUDC, and LULCC. The updated LUM and LUDC include acupoints of other meridians, serving the same purpose of performing satisfactory respiration starting from checking the quality of the inflow through the nose. The LUSC includes the respiratory muscles (plus the associated connective tissues) extending to various parts of the body. The muscles of the limb (as part of the LUSC) embrace the nerves that provide routes for somatosensory reflexes and play the role of locomotion, providing voluntary respiration via the pectoralis muscles. The muscles of LUSC are bounded by stiff connective tissue layers, forming compartments, and are part of the pulley system for various body locomotions. Within a compartment, the interstitial fluid, blood, lymph flows must be potent to protect the associated nerves related to LUM;the healthy state of the LUSC also provides freedom of various types of locomotion. The LULCC exists because the vagus nerve has a part of it passing through the spinal cords all the way down to the sacrum domain, with exiting nerve innervating two-third of the large intestine. The crucial steps of our deductions are supported by experimental evidence based on modern neurophysiology and kinesiology. We discover that all the four channels stated above work as a unit system to allow respiration to be possible under various postures/conditions. The complexity of structures and processes is eased off by providing 29 figures and 13 tables for the relevant muscles and nerves. In addition to respiration, the Lung system in TCM context includes interaction of this system with the sweat gland and neuroendocrine system;such aspects will be left to another study.