scholarly journals Optimized CyberKnife Lung Treatment: Effect of Fractionated Tracking Volume Change on Tracking Results

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Guo-quan Li ◽  
Ye Wang ◽  
Meng-jun Qiu ◽  
Jing Yang ◽  
Zhen-jun Peng ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Volume Change ◽  
Stereotactic Radiotherapy ◽  
Lung Tumor ◽  
Left Lung ◽  
Small Diameter ◽  
Tracking Algorithm ◽  
Lung Lesions ◽  
The Impact ◽  
Respiratory Tracking

Objectives. To explore the impact of volume change in the fractionated tracking of stereotactic radiotherapy on the results of synchronous, respiratory tracking algorithm using CyberKnife. Methods. A total of 38 lung tumor patients receiving stereotactic radiotherapy at our center from March 2018 to October 2019 were counted. Photoshop CS4 image processing software was used to obtain the pixels and the average value of brightness of the tracking volume in the image and calculate the grayscale within the contour of the tracking volume on the real-time X-ray image. At the same time, parameters of the synchronous respiratory tracking algorithm of the fractional CyberKnife were extracted for comparison between the volume of image-guided image tracking and the number of fractions during stereotactic radiotherapy. We also analyzed the relationship between fraction tumor location and characteristics and the calculated results of synchronous respiratory tracking by CyberKnife. Results. There were no significant differences between the first four fractions (p>0.05) for left lung lesions and no significant differences between the first five fractions for right lung lesions (p≥0.05). For peripheral lung cancer, longer fractional treatment led to greater variation in grayscale (G-A: >4 fractions p<0.05), while for central lung cancer, longer fractional treatment led to greater variation in parameters of the synchronous respiratory tracking algorithm (Uncertainty A and Uncertainty B: >4 fractions p<0.05). There was a significant correlation between radiotherapy-graded tumor density and relevant parameters, and the correlation was strong (>0.7, p<0.05). Conclusion. With the increase of treatment fractions, the gray value in the patient tracking volume decreased. Patients of >4 fractions were advised to reevaluate with simulated CT and replan. For tumors with small diameter and low density, the imaging changes of volume should be closely followed during treatment. For left lung and central lung cancer, carefully select the synchronous tracking treatment with 2-view.

scholarly journals Differential Impacts of Insulin-Like Growth Factor-Binding Protein-3 (IGFBP-3) in Epithelial IGF-Induced Lung Cancer Development

Endocrinology ◽  
2011 ◽  
Vol 152 (6) ◽  
pp. 2164-2173 ◽  
Author(s):  
Woo-Young Kim ◽  
Mi-Jung Kim ◽  
Hojin Moon ◽  
Ping Yuan ◽  
Jin-Soo Kim ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Lung Tumor ◽  
Binding Protein ◽  
Cancer Development ◽  
Lung Carcinogenesis ◽  
Tobacco Carcinogen ◽  
Igf I ◽  
The Impact ◽  
Igfbp 3

The IGF axis has been implicated in the risk of various cancers. We previously reported a potential role of tissue-derived IGF in lung tumor formation and progression. However, the role of IGF-binding protein (IGFBP)-3, a major IGFBP, on the activity of tissue-driven IGF in lung cancer development is largely unknown. Here, we show that IGF-I, but not IGF-II, protein levels in non-small-cell lung cancer (NSCLC) were significantly higher than those in normal and hyperplastic bronchial epithelium. We found that IGF-I and IGFBP-3 levels in NSCLC tissue specimens were significantly correlated with phosphorylated IGF-IR (pIGF-IR) expression. We investigated the impact of IGFBP-3 expression on the activity of tissue-driven IGF-I in lung cancer development using mice carrying lung-specific human IGF-I transgene (Tg), a germline-null mutation of IGFBP-3, or both. Compared with wild-type (BP3+/+) mice, mice carrying heterozygous (BP3+/−) or homozygous (BP3−/−) deletion of IGFBP-3 alleles exhibited decreases in circulating IGFBP-3 and IGF-I. Unexpectedly, IGFTg mice with 50% of physiological IGFBP-3 (BP3+/−; IGFTg) showed higher levels of pIGF-IR/IR and a greater degree of spontaneous or tobacco carcinogen [4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone]-induced lung tumor development and progression than did the IGFTg mice with normal (BP3+/+;IGFTg) or homozygous deletion of IGFBP-3 (BP3−/−; IGFTg). These data show that IGF-I is overexpressed in NSCLC, leading to activation of IGF-IR, and that IGFBP-3, depending on its expression level, either inhibits or potentiates IGF-I actions in lung carcinogenesis.

scholarly journals Systemic Platelet-activating Factor Receptor Activation Augments Experimental Lung Tumor Growth and Metastasis

2014 ◽  
Vol 7 ◽  
pp. CGM.S14501 ◽  
Author(s):  
Patrick C. Hackler ◽  
Sarah Reuss ◽  
Raymond L. Konger ◽  
Jeffrey B. Travers ◽  
Ravi P. Sahu
Keyword(s):  
Lung Cancer ◽  
Tumor Growth ◽  
Cancer Progression ◽  
Lung Tumor ◽  
Platelet Activating Factor ◽  
Receptor Activation ◽  
Dependent Manner ◽  
Melanoma Tumor ◽  
Tumor Growth And Metastasis ◽  
The Impact

Pro-oxidative stressors including cigarette smoke (CS) generate novel lipids with platelet-activated factor-receptor (PAF-R) agonistic activity mediate systemic immunosuppression, one of the most recognized events in promoting carcinogenesis. Our previous studies have established that these oxidized-PAF-R-agonists augment murine B16F10 melanoma tumor growth in a PAF-R-dependent manner because of its effects on host immunity. As CS generates PAF-R agonists, the current studies sought to determine the impact of PAF-R agonists on lung cancer growth and metastasis. Using the murine Lewis Lung Carcinoma (LLC1) model, we demonstrate that treatment of C57BL/6 mice with a PAF-R agonist augments tumor growth and lung metastasis in a PAF-R-dependent manner as these findings were not seen in PAF-R-deficient mice. Importantly, this effect was because of host rather than tumor cells PAF-R dependent as LLC1 cells do not express functional PAF-R. These findings indicate that experimental lung cancer progression can be modulated by the PAF system.

scholarly journals Respiratory Gating and the Performance of PET/CT in Pulmonary Lesions

2020 ◽  
Vol 13 (3) ◽  
pp. 218-227
Author(s):  
Cinzia Crivellaro ◽  
Luca Guerra
Keyword(s):  
Lung Cancer ◽  
New Technologies ◽  
Respiratory Gating ◽  
Motion Artifacts ◽  
Radiotherapy Planning ◽  
Acquisition Time ◽  
Lung Lesions ◽  
Gated Pet ◽  
Pet Ct ◽  
The Impact

Background: Motion artifacts related to the patient’s breathing can be the cause of underestimation of the lesion uptake and can lead to missing of small lung lesions. The respiratory gating (RG) technology has demonstrated a significant increase in image quality. Objective: The aim of this paper was to evaluate the advantages of RG technique on PET/CT performance in lung lesions. The impact of 4D-PET/CT on diagnosis (metabolic characterization), staging and re-staging lung cancer was also assessed, including its application for radiotherapy planning. Finally, new technologies for respiratory motion management were also discussed. Methods: A comprehensive electronic search of the literature was performed by using Medline database (PubMed) searching “PET/CT”, “gated” and “lung”. Original articles, review articles, and editorials published in the last 10 years were selected, included and critically reviewed in order to select relevant articles. Results: Many papers compared Standardized Uptake Value (SUV) in gated and ungated PET studies showing an increase in SUV of gated images, particularly for the small lesions located in medium and lower lung. In addition, other features as Metabolic Tumor Volume (MTV), Total Lesion Glycolysis (TLG) and textural-features presented differences when obtained from gated and ungated PET acquisitions. Besides the increase in quantification, gating techniques can determine an increase in the diagnostic accuracy of PET/CT. Gated PET/CT was evaluated for lung cancer staging, therapy response assessment and for radiation therapy planning. Conclusion: New technologies able to track the motion of organs lesion directly from raw PET data, can reduce or definitively solve problems (i.e.: extended acquisition time, radiation exposure) currently limiting the use of gated PET/CT in clinical routine.

Term Domain Distribution Analysis: a Data Mining Tool for Text Databases

1999 ◽  
Vol 38 (02) ◽  
pp. 96-101 ◽  
Author(s):  
W. W. Chu ◽  
D. S. Parker ◽  
R. M. Goldman ◽  
J. A. Goldman
Keyword(s):  
Lung Cancer ◽  
Data Mining ◽  
Lung Tumor ◽  
Left Lung ◽  
Tumor Location ◽  
Distribution Analysis ◽  
Filter Model ◽  
Frequency Distributions ◽  
Text Databases ◽  
Primary Lung Tumor

AbstractIn this paper, we give a case history illustrating the real-world application of a useful technique for data mining of text databases. The technique, which we call Term Domain Distribution Analysis (TDDA), consists of keeping track of term frequencies for specific finite domains and announcing significant differences from standard frequency distributions over these domains as a hypothesis. TDDA is part of a larger framework, the Digital Filter Model, for data mining of text documents. In the case study presented, the domain of terms was the pair {right, left}, over which we expected a uniform distribution. In analyzing term frequencies in a thoracic lung cancer database, the TDDA technique led to the surprising discovery that primary thoracic lung cancer tumors appear in the right lung more often than the left lung, with a ratio of 3:2. Treating the text discovery as a hypothesis, we verified this relationship against the medical literature in which primary lung tumor sites were reported, using a standard χ2 statistic. We subsequently developed a working theoretical model of lung cancer that may explain the discovery. This discovery and our model may change how oncologists view the mechanisms of primary lung tumor location.

The impact of the radiotherapy technique in sparing the heart substructures in central tumor irradiation in lung cancer

2022 ◽  
pp. 1-6
Author(s):  
Gulhan Guler Avci ◽  
Gonca Altınısık Inan ◽  
Halis Bozkurt
Keyword(s):  
Lung Cancer ◽  
Coronary Arteries ◽  
Locally Advanced ◽  
Left Lung ◽  
Intensity Modulated Radiotherapy ◽  
Conformal Radiotherapy ◽  
Intensity Modulated ◽  
Tumor Irradiation ◽  
The Impact ◽  
3D Crt

Abstract Introduction: In thoracic radiotherapy (RT), heart sparing is very essential, as the high cardiac dose is associated with poor survival in patients with locally advanced non-small-cell lung cancer (NSCLC). The study aims to determine the doses exposed to heart substructures and coronary arteries by different RT techniques in central tumor irradiation in lung cancer. Methods: Twenty patients with NSCLC, irradiated between January 2018 and December 2020 in our department, were included in this study. Patients whose primary tumor was centrally located in the left lung were selected. The heart substructures [left atrium, right atrium (RA), left ventricle, and right ventricle] and coronary arteries (left main, left anterior descending, circumflex, and right coronary arteries) were delineated by the same physician. The doses of 60 Gy external RT were prescribed in 30 fractions using three-dimensional conformal radiotherapy (3D-CRT), static intensity-modulated radiotherapy (s-IMRT), and dynamic intensity-modulated radiotherapy (d-IMRT) techniques in all patients. The obtaining plans using three different techniques were compared. Results: The d-IMRT plans were statistically the best optimal plan for planning target volume (PTV) [Dmean (p = 0 04), Dmax (p < 0 0001), V95 (p < 0 0001), V107 (p < 0 0001), CI (p < 0 0001) and HI (p < 0 0001)]. The s-IMRT plans were significantly superior to 3D-CRT plans for PTV. RA Dmax and V45 were not different between the three techniques [Dmax (p = 0 148) and V45 (p = 0 12)]. The d-IMRT technique was significantly better in other heart substructures and coronary arteries. Conclusions: Compared to 3D-CRT and s-IMRT techniques, the d-IMRT technique provided the best protection in all heart substructures except for a few parameters (RA Dmax and V45 doses).

scholarly journals Quantitative PET/MR imaging of lung cancer in the presence of artifacts in the MR-based attenuation correction maps

2019 ◽  
Vol 61 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Samuel Kuttner ◽  
Martin Lyngby Lassen ◽  
Silje Kjærnes Øen ◽  
Rune Sundset ◽  
Thomas Beyer ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Mr Imaging ◽  
Attenuation Correction ◽  
Lung Tumor ◽  
Tumor Therapy ◽  
Standardized Uptake Value ◽  
Therapy Response ◽  
Susceptibility Artifacts ◽  
Quantitative Pet ◽  
The Impact

Background Positron emission tomography (PET)/magnetic resonance (MR) imaging may become increasingly important for assessing tumor therapy response. A prerequisite for quantitative PET/MR imaging is reliable and repeatable MR-based attenuation correction (AC). Purpose To investigate the frequency and test–retest reproducibility of artifacts in MR-AC maps in a lung cancer patient cohort and to study the impact of artifact corrections on PET-based tumor quantification. Material and Methods Twenty-five lung cancer patients underwent single-day, test–retest, 18F-fluorodeoxyglucose (FDG) PET/MR imaging. The acquired MR-AC maps were inspected for truncation, susceptibility, and tissue inversion artifacts. An anatomy-based bone template and a PET-based estimation of truncated arms were employed, while susceptibility artifacts were corrected manually. We report the frequencies of artifacts and the relative difference (RD) on standardized uptake value (SUV) based quantification in PET images reconstructed with the corrected AC maps. Results Truncation artifacts were found in all 50 acquisitions (100%), while susceptibility and tissue inversion artifacts were observed in six (12%) and 26 (52%) of the scans, respectively. The RD in lung tumor SUV was < 5% from bone and truncation corrections, while up to 20% RD was introduced after susceptibility artifact correction, with large inconsistencies between test–retest scans. Conclusion The absence of bone and truncation artifacts have limited effect on the PET quantification of lung lesions. In contrast, susceptibility artifacts caused significant and inconsistent underestimations of the lung tumor SUVs, between test–retest scans. This may have clinical implications for patients undergoing serial imaging for tumor therapy response assessment.

scholarly journals The Impact of the Deepwater Horizon Oil Spill upon Lung Health—Mouse Model-Based RNA-Seq Analyses

2020 ◽  
Vol 17 (15) ◽  
pp. 5466
Author(s):  
Yao-Zhong Liu ◽  
Charles A Miller ◽  
Yan Zhuang ◽  
Sudurika S Mukhopadhyay ◽  
Shigeki Saito ◽  
...  
Keyword(s):  
Lung Tumor ◽  
Left Lung ◽  
Receptor Interaction ◽  
Rna Seq ◽  
Kegg Pathways ◽  
Corexit 9500 ◽  
P53 Signaling ◽  
Oropharyngeal Aspiration ◽  
Transcriptomic Level ◽  
The Impact

We used a transcriptomic approach to interrogate the effects of a saline-accommodated fraction from the Macondo 252 well (MC252) oil and Corexit dispersants on lung tissue. Wild-type C57BL/6 male and female mice were exposed on days 0, 7 and 13 by oropharyngeal aspiration to saline accommodated fractions (SAF) of crude oil from the Macondo (MC252) well, Corexit 9500, Corexit 9527, 9500+oil and 9527+oil or a saline solution as the vehicle control. These treatments did not cause overt toxicity, with the exception of the Corexit exposures which caused brief weight loss after the first exposure. On day 14, total RNA was isolated from the left lung for RNA-seq analyses. KEGG-pathway-based differential expression revealed that Corexit 9527 elicited the strongest changes involving the upregulation of 19 KEGG pathways (FDR < 0.10), followed by Corexit 9500 with the upregulation of seven pathways (FDR < 0.10). As an important signature, pathways related to a response to DNA damage (e.g., p53 signaling and mismatch repair) dominate those upregulated by Corexit 9527 and Corexit 9500. In addition, pro-inflammatory pathways (e.g., cytokine-cytokine receptor interaction, IL-17 signaling pathway and TNF signaling pathways) were upregulated selectively in oil-treated male mice. Surprisingly, oil + dispersant combinations caused lesser effects than the individual treatments at the transcriptomic level. Overall, these findings support potential genotoxicity, inflammation and cell death due to dispersant or oil exposures. Similar exposures to lung tumor bearing K-RasLA1 mice provided evidence for tumor promotion by oil and Corexit dispersant treatments. Our mouse RNA-seq analyses may be relevant to the pulmonary health hazards of MC252 oil and dispersants experienced in exposed populations.

scholarly journals Study on Motion Management of Lung Cancer Treated by CyberKnife: Based on Tumor Position

2022 ◽  
Author(s):  
Shenghua Jing ◽  
Zhen Wang ◽  
Changchen Jiang ◽  
Xiangnan Qiu ◽  
Taincong Wu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Lung Tumor ◽  
Tracking System ◽  
Lung Tumors ◽  
Prediction Errors ◽  
Baseline Drift ◽  
Anatomical Position ◽  
Standard Deviations ◽  
Respiratory Tracking ◽  
Motion Amplitude

Abstract Purpose: We investigated the movement characteristics of lung cancers and the clinical accuracy of tracking lung tumors with Synchrony Respiratory Tracking System (SRTs) during the CyberKnife treatment. We also explored the influencing factors of accuracy. These data provided the appropriate expansion margins of patients with different respiratory characteristics, which was helpful to realize the personalized design of treatment plans of CyberKnife. Methods and Materials: 73 patients with lung cancer treated with CyberKnife SRTs were selected retrospectively for this study. The patient's age, gender, respiratory characteristics and tumor datas (tumor size, anatomical position and geometric position) were recorded. During treatment, the deviation was checked every 45 s and compensated by the synchronous respiratory tracking system.Results: The total mean motion amplitudes and standard deviations of lung tumors in superior-inferior (SI), left-right (LR), and anterior-posterior (AP) directions were 4.15 ± 3.47 mm, 3.98 ± 3.21 mm and 3.79 ± 2.73 mm, respectively. The overall mean correlation errors and standard deviations were 0.86 ± 0.45 mm, 1.04 ± 0.76 mm and 0.70 ± 0.47 mm, respectively. The overall mean prediction errors and standard deviations were 0.18 ± 0.17 mm, 0.35 ± 0.39 mm and 0.35 ± 0.42 mm, respectively. The correlation errors of LR direction were less correlated with the geometric position of the tumor (r = 0.38), and not correlated with the anatomical position of the tumor (r < 0.3). The prediction errors were moderately correlated with the respiratory amplitude (r = 0.588), and less correlated with the baseline drift and the motion amplitude of the tumor (r = 0.407 and 0.365, respectively).Conclusions: The patient’s respiratory amplitude, the tumor motion amplitude, the tumor baseline drift and geometric position were the main factors affecting the tracking accuracy. Tumors at different geometric positions should be treated differently to ensure sufficient dose coverage of the lung tumor target.

Prognostic quantification of non-small cell lung cancer metastases to the lung

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 17080-17080
Author(s):  
Y. Oh ◽  
G. Srivastava ◽  
V. Rana ◽  
R. Munden ◽  
B. N. Bekele ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Lung Tumor ◽  
Lung Metastases ◽  
Inverse Correlation ◽  
Linear Measurement ◽  
Small Cell ◽  
Small Cell Lung ◽  
The Impact

17080 Background: Lung is the most frequent organ site of metastases from non-small cell lung cancer (NSCLC), yet the impact of these metastases on the natural history of the disease has not been well elucidated. Part of the difficulty of evaluating the prognosis of lung metastases in NSCLC patients is the effect of metastases to other organ sites. Here we have studied the survival of patients with lung as the solitary or dominant site of metastases and correlated it with number and maximal size of tumors. Methods: Data from the M.D. Anderson Cancer Center Tumor Registry during 1998 to 2002 was interrogated. Of 1280 patients registering as new patients, 87 were evaluable as having lung as the only site of metastases on initial staging evaluation. Excluding 13 patients who had bronchioloalveolar carcinoma (BAC) or BAC features on histology, the remaining 74 patients’ baseline CT scans were reviewed and scored for 1) the maximal linear measurement of the largest lung tumor and 2) the number of lung nodules that were growing and consistent with lung metastases. Results: In non-BAC patients with lung only metastases, an inverse correlation is seen between maximal linear measurement of a patient’s largest lung metastasis on baseline staging and their subsequent survival. A similar inverse correlation is seen between the number of lung metastases and survival. When patients with subsequent development of other metastatic sites are excluded from the analysis, these correlations are strengthened. Also, in BAC patients with lung only metastases, a trend toward longer survival with fewer metastases was seen, but only 13 patients were evaluable. Formal statistical analysis of these results is pending. Conclusions: The number and size of lung metastases from NSCLC appear to be independent predictors of survival. This might be explained by lead-time bias where fewer lesions represent an earlier stage of metastatic disease, however, increasing number and size of metastases may also be multiplying the source for further metastatic spread of disease. This interpretation of data may justify the local therapy of individual lung metastases in oligometastatic disease by surgery, stereotactic radiosurgery, or radiofrequency ablation. No significant financial relationships to disclose.

scholarly journals Countering the advert effects of lung cancer on the anticancer potential of dendritic cell populations reinstates sensitivity to anti-PD-1 therapy

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260636
Author(s):  
Julyanne Brassard ◽  
Meredith Elizabeth Gill ◽  
Emilie Bernatchez ◽  
Véronique Desjardins ◽  
Joanny Roy ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Lung Tumor ◽  
Checkpoint Inhibitors ◽  
Tumor Development ◽  
Regulatory Molecule ◽  
Direct Exposure ◽  
Inhibitory Molecules ◽  
The Impact

Lung cancer is the leading cause of cancer-related deaths. While the recent use of immune checkpoint inhibitors significantly improves patient outcomes, responsiveness remains restricted to a small proportion of patients. Conventional dendritic cells (DCs) play a major role in anticancer immunity. In mice, two subpopulations of DCs are found in the lung: DC2s (CD11b+Sirpα+) and DC1s (CD103+XCR1+), the latest specializing in the promotion of anticancer immune responses. However, the impact of lung cancer on DC populations and the consequent influence on the anticancer immune response remain poorly understood. To address this, DC populations were studied in murine models of Lewis Lung Carcinoma (LLC) and melanoma-induced lung metastasis (B16F10). We report that direct exposure to live or dead cancer cells impacts the capacity of DCs to differentiate into CD103+ DC1s, leading to profound alterations in CD103+ DC1 proportions in the lung. In addition, we observed the accumulation of CD103loCD11b+ DCs, which express DC2 markers IRF4 and Sirpα, high levels of T-cell inhibitory molecules PD-L1/2 and the regulatory molecule CD200. Finally, DC1s were injected in combination with an immune checkpoint inhibitor (anti-PD-1) in the B16F10 model of resistance to the anti-PD-1 immune checkpoint therapy; the co-injection restored sensitivity to immunotherapy. Thus, we demonstrate that lung tumor development leads to the accumulation of CD103loCD11b+ DCs with a regulatory potential combined with a reduced proportion of highly-specialized antitumor CD103+ DC1s, which could promote cancer growth. Additionally, promoting an anticancer DC signature could be an interesting therapeutic avenue to increase the efficacy of existing immune checkpoint inhibitors.

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