Purpose: To assess the diagnostic costs leading up to a lung cancer diagnosis in patients with abnormal computed tomography (CT) scans.
Patients And Methods: A retrospective cohort study using the 5% Medicare claims data (January 1, 2009, to December 31, 2011) was conducted. Patients aged 65 to 74 years with an abnormal chest CT scan were identified. Index was defined as the date of the abnormal chest CT scan. Outcomes assessed over a 12-month follow-up after index included lung cancer diagnosis rate and the use and associated costs of follow-up diagnostic tests up to diagnosis of lung cancer.
Results: Of 8979 patients identified with an abnormal chest CT scan (mean age, 69.3 ± 2.9 years), 13.9% were diagnosed with lung cancer over 12 months. Chest x-rays were the most common diagnostic test. Of the 19% who underwent a biopsy, 43.6% were not diagnosed with lung cancer during follow-up. The average total diagnostic assessment cost per patient was higher for those with versus without lung cancer ($7567 vs. $3558). Among patients not diagnosed with lung cancer, the median diagnostic cost per patient for those with versus without biopsy was ∼ 28 times higher. Adverse events significantly increased the average cost per biopsy (approximately 4-fold).
Conclusion: Total lung cancer diagnostic cost was $38.3M in the defined study sample, of which 43.1% was accounted for by biopsied patients without a lung cancer diagnosis. Additional risk stratification is required to decrease unnecessary biopsy referrals and costs. Further, adverse events significantly increased costs.
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http://dx.doi.org/10.1016/j.cllc.2016.07.006 | DOI Listing |
Anticancer Agents Med Chem
January 2025
Stem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Lung cancer is correlated with a high death rate, with approximately 1.8 million mortality cases reported worldwide in 2022. Despite development in the control of lung cancer, most cases are detected at higher stages with short survival rates.
View Article and Find Full Text PDFMicrorna
January 2025
School of Biosciences, Apeejay Stya University Gurugram, Sohna-Palwal Road, Haryana-122103, India.
MicroRNA abundance as a particular biomarker for precisely identifying cancer metastases has emerged in recent years. The expression levels of miRNA are analyzed to get insights into cancer tissue detection and subtypes. Similar to other cancer types, the miRNA shows high levels of target mRNA dysregulation in association with non-small cell lung carcinoma (NSCLC).
View Article and Find Full Text PDFMol Pharm
January 2025
School of Pharmacy, Jiangsu Province Key Laboratory for Inflammation and Molecular Drug Target, Nantong University, Nantong 226001, Jiangsu Province, China.
Photodynamic therapy (PDT) is increasingly regarded as an attractive approach for cancer treatment due to its advantages of low invasiveness, minimal side effects, and high efficiency. Here, two novel Ru(II) complexes , were designed and synthesized by coordinating phenanthroline and biquinoline ligands with Ru(II) center, and their chemo-photodynamic therapy and immunotherapy were explored. Both and exhibited significant phototoxicity against A549 and 4T1 tumor cells type-I/-II PDT.
View Article and Find Full Text PDFCell Rep
January 2025
The Fourth Affiliated Hospital of Soochow University, Institutes of Biology and Medical Sciences, Suzhou Medical College of Soochow University, Soochow University, Suzhou, China; Jiangsu Key Laboratory of Infection and Immunity, Soochow University, Suzhou, China. Electronic address:
CD8 T cell exhaustion (Tex) has been widely acknowledged in human cancer, while the underlying mechanisms remain unclear. Here, we demonstrate that reduced amino acid (aa) metabolism and mTOR inactivation are accountable for Tex in human non-small cell lung cancer (NSCLC). NSCLC cells impede the T cell-intrinsic transcription of SLC7A5 and SLC38A1, disrupting aa transport and consequently leading to mTOR inactivation.
View Article and Find Full Text PDFCancer Commun (Lond)
January 2025
Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea.
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