Secondary Analysis of the NLST data with simpler comparative methods between CXR and LDCT

2019 ◽  
Author(s):  
Wissam Al-Janabi

Abstract: The death rate from lung cancer is highest amongst all cancers; it comprises approximately 20% of all cancer death. After decades of striving to find a screening tool similar to Chest x-ray (CXR) and blood biomarkers for the deadliest cancer in the world, three decades ago, the screening with Low Dose Computed Tomography (LDCT) began. Unless the patient becomes symptomatic with a cough, hemoptysis, weight loss, this cancer was hard to detect. Even though smoking cessation is the best way to reduce mortality and morbidity from lung cancer, LDCT showed its ability to identify lung cancer earlier and thus decrease the death rate from lung cancer in countries that can afford to use this tool. LDCT can decrease all-cause mortality by approximately 7% and lower lung cancer mortality by about 20%. LDCT has high sensitivity when compared to the CXR. In addition to detecting late-stage cancer, LDCT can also detect early-stage lung cancer (stage I), which can decrease mortality as well as morbidity. When first introduced as a screening tool for lung cancer, clinicians and scientists raised concerns about radiation exposure, cost, psychological effects, and high false positive rates. Due to these concerns, countries like the USA and some European countries were hesitant to approve LDCT as a screening tool for two decades. Notwithstanding, in 2013, the United State Preventive Services Task Forces (USPSTF) gave the LDCT a B recommendation as a screening tool for lung cancer.

Author(s):  
Jim Brown ◽  
Neal Navani

As low-dose computed tomography screening of ‘high-risk’ smokers is occurring with increasing frequency, the incidental discovery of solitary pulmonary nodules is becoming more frequent, and lung cancer multidisciplinary teams are now often faced with balancing risk and benefit when making decisions regarding the radical treatment of patients with a clinical diagnosis of early lung cancer but borderline fitness. Surgery offers the best prospect of cure but is associated with significant mortality and morbidity; the elderly and frail experience more toxicity and a greater impact on the quality of life. This chapter reviews the criteria for assessing surgical fitness and examines the evidence for minimally invasive and ablative techniques for the treatment of early peripheral lung cancer in the medically inoperable patient.


CHEST Journal ◽  
2016 ◽  
Vol 149 (4) ◽  
pp. A281
Author(s):  
Huiming Wang ◽  
Jiajun Teng ◽  
Yanwei Zhang ◽  
Qunhui Chen ◽  
Jianding Ye ◽  
...  

Human Cell ◽  
2021 ◽  
Author(s):  
Yan Lu ◽  
Yushuang Zheng ◽  
Yuhong Wang ◽  
Dongmei Gu ◽  
Jun Zhang ◽  
...  

AbstractLung cancer is the most fetal malignancy due to the high rate of metastasis and recurrence after treatment. A considerable number of patients with early-stage lung cancer relapse due to overlooked distant metastasis. Circulating tumor cells (CTCs) are tumor cells in blood circulation that originated from primary or metastatic sites, and it has been shown that CTCs are critical for metastasis and prognosis in various type of cancers. Here, we employed novel method to capture, isolate and classify CTC with FlowCell system and analyzed the CTCs from a cohort of 302 individuals. Our results illustrated that FlowCell-enriched CTCs effectively differentiated benign and malignant lung tumor and the total CTC counts increased as the tumor developed. More importantly, we showed that CTCs displayed superior sensitivity and specificity to predict lung cancer metastasis in comparison to conventional circulating biomarkers. Taken together, our data suggested CTCs can be used to assist the diagnosis of lung cancer as well as predict lung cancer metastasis. These findings provide an alternative means to screen early-stage metastasis.


2021 ◽  
Vol 16 (3) ◽  
pp. S264-S265
Author(s):  
F. Xu ◽  
L. Yang ◽  
C. Liu ◽  
J. Ying ◽  
Y. Wang

Author(s):  
Guangyao Wu ◽  
Arthur Jochems ◽  
Turkey Refaee ◽  
Abdalla Ibrahim ◽  
Chenggong Yan ◽  
...  

Abstract Introduction Lung cancer ranks second in new cancer cases and first in cancer-related deaths worldwide. Precision medicine is working on altering treatment approaches and improving outcomes in this patient population. Radiological images are a powerful non-invasive tool in the screening and diagnosis of early-stage lung cancer, treatment strategy support, prognosis assessment, and follow-up for advanced-stage lung cancer. Recently, radiological features have evolved from solely semantic to include (handcrafted and deep) radiomic features. Radiomics entails the extraction and analysis of quantitative features from medical images using mathematical and machine learning methods to explore possible ties with biology and clinical outcomes. Methods Here, we outline the latest applications of both structural and functional radiomics in detection, diagnosis, and prediction of pathology, gene mutation, treatment strategy, follow-up, treatment response evaluation, and prognosis in the field of lung cancer. Conclusion The major drawbacks of radiomics are the lack of large datasets with high-quality data, standardization of methodology, the black-box nature of deep learning, and reproducibility. The prerequisite for the clinical implementation of radiomics is that these limitations are addressed. Future directions include a safer and more efficient model-training mode, merge multi-modality images, and combined multi-discipline or multi-omics to form “Medomics.”


Author(s):  
Di Zhou ◽  
Ye Tian ◽  
Yao Lu ◽  
Xueying Yang

AbstractSitus inversus totalis (SIT) is an extremely uncommon congenital disease where the major organs of the body are transposed through the sagittal plane. Kartagener syndrome is a complication of SIT with immotility of bronchial cilia, bronchiectasis, and chronic sinusitis. There is no report describing patients with Kartagener syndrome who accept uni-portal segmentectomies for lung cancer in past studies. Here we report a 74-year-old female patient with both Kartagener syndrome and a small early-stage lung cancer lesion located in the apical segment of the left upper lobe (LS1). The pulmonary segment anatomy of the left upper lobe in this case, which had very rare variants, was presented and interpreted in detail. This patient underwent an anatomic segmentectomy to the LS1 and a partial excision to the left middle lobe with bronchiectasis through a single 3 cm length incision. We believe that the case can give surgeons some experience and inspiration.


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