scholarly journals Computed tomography follow-up identifies radically treatable new primaries after resection for lung cancer

Author(s):  
Jenny Mitchell ◽  
Rachel Benamore ◽  
Fergus Gleeson ◽  
Elizabeth Belcher

Abstract OBJECTIVES The optimal imaging programme for the follow-up of patients who have undergone resection of primary lung cancer is yet to be determined. We investigated the incidence and patterns of new and recurrent malignancy after resection for early-stage lung cancer in patients enrolled into a computed tomography (CT) follow-up programme. METHODS We reviewed the outcomes of consecutive patients who underwent CT follow-up after resection of early-stage primary lung cancer at the Oxford University Hospitals NHS Foundation Trust, between 2013 and 2017. RESULTS Four hundred and sixty-six consecutive patients underwent resection of primary lung cancer between 1 January 2013 and 31 March 2017. Three hundred and thirty-one patients (71.0%) were enrolled in CT follow-up. The median follow-up was 98 weeks (range 26–262). Sixty patients (18.2%) were diagnosed with programme-detected malignancy. Recurrence was diagnosed in 36 patients (10.9%), new primary lung cancer in 16 patients (4.8%) and non-lung primary tumours in 8 patients (2.4%). A routine CT scan identified the majority of new primary lung cancers (84.2%) and those with disease recurrence (85.7%). The majority of programme-detected malignancies were radically treatable (55%). The median survival of programme-detected cancers was 92.4 versus 23.0 weeks for patients with clinically detected tumours (P < 0.0001). Utilizing the CT scout image as a surrogate for chest X-ray, the sensitivity of this modality was 16.95% (8.44–28.97%) and specificity was 89.83% (79.17–96.18%). Negative likelihood ratio was 0.92 (0.8–1.07). CONCLUSIONS CT follow-up of surgically treated primary lung cancer patients identifies malignancy at a stage where radical treatment is possible in the majority of patients. Chest X-ray follow-up may not be of benefit following lung cancer resection.

PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0262404
Author(s):  
Yuya Watanabe ◽  
Toru Nakagawa ◽  
Kota Fukai ◽  
Toru Honda ◽  
Hiroyuki Furuya ◽  
...  

The utility of chest x-ray examination (CXR) in mandatory annual health examinations for occupational health is debatable in Japan. This study aimed to provide basic data to consider future policies for mandatory annual health examinations in the workplace. A nationwide descriptive survey was performed to determine the rate of detection of tuberculosis, lung cancer, and other diseases through CXR in organizations associated with National Federation of Industrial Health Association. The rate of finding on CXR conducted during annual health examinations in FY2016 was evaluated. Data regarding diagnosis based on follow-up examination findings were obtained and compared with the national statistics. In addition, CXR findings were compared with the results of low-dose lung computed tomography performed at the Hitachi Health Care Center. From 121 surveyed institutions, 88 institutions with 8,669,403 workers were included. For all ages, 1.0% of examinees required follow-up examination. Among 4,764,985 workers with diagnosis data, the tuberculosis detection rate was 1.8–5.3 per 100,000 persons. For Lung cancer, 3,688,396 workers were surveyed, and 334 positive cases were detected. The lung cancer detection rate using CXR was 9.1–24.4 per 100,000 persons. From 164 cases with information regarding the clinical stage, 72 (43.9%) had Stage I lung cancer. From 40,045 workers who underwent low-dose computed tomography multiple times, 31 lung cancer cases, all with Stage I disease, were detected (detection rate: 77.4 per 100,000 persons). Our findings suggest that CXR plays a little role in the detection of active tuberculosis. With regard to LC screening, the detection rate of LC by CXR was lower, approximately 50%, than the expected rate (41.0 per 100,000 persons) of LC morbidity based on the age–sex distribution of this study population. However, the role of CXR for LC screening cannot be mentioned based on this result, because assessment of mortality reduction is essential to evaluate the role.


1996 ◽  
Vol 10 (4) ◽  
pp. 467-473
Author(s):  
Mitsutaka Kadokura ◽  
Shigeru Yamamoto ◽  
Daisuke Kataoka ◽  
Makoto Nonaka ◽  
Noboru Tanio ◽  
...  

2014 ◽  
Vol 147 (1) ◽  
pp. 30-35 ◽  
Author(s):  
Waël C. Hanna ◽  
Narinder S. Paul ◽  
Gail E. Darling ◽  
Hadas Moshonov ◽  
Frances Allison ◽  
...  

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):  
Akın Çinkooğlu ◽  
Selen Bayraktaroğlu ◽  
Naim Ceylan ◽  
Recep Savaş

Abstract Background There is no consensus on the imaging modality to be used in the diagnosis and management of Coronavirus disease 2019 (COVID-19) pneumonia. The purpose of this study was to make a comparison between computed tomography (CT) and chest X-ray (CXR) through a scoring system that can be beneficial to the clinicians in making the triage of patients diagnosed with COVID-19 pneumonia at their initial presentation to the hospital. Results Patients with a negative CXR (30.1%) had significantly lower computed tomography score (CTS) (p < 0.001). Among the lung zones where the only infiltration pattern was ground glass opacity (GGO) on CT images, the ratio of abnormality seen on CXRs was 21.6%. The cut-off value of X-ray score (XRS) to distinguish the patients who needed intensive care at follow-up (n = 12) was 6 (AUC = 0.933, 95% CI = 0.886–0.979, 100% sensitivity, 81% specificity). Conclusions Computed tomography is more effective in the diagnosis of COVID-19 pneumonia at the initial presentation due to the ease detection of GGOs. However, a baseline CXR taken after admission to the hospital can be valuable in predicting patients to be monitored in the intensive care units.


Author(s):  
Petr Arkadievich Ilyin

Blood expectoration or hemoptysis is the coughing up of sputum with blood from the larynx, bronchi or lungs. Hemoptysis is most often caused by diseases of the respiratory tract and lungs — bronchitis or pneumonia, as well as lung cancer, aspergilloma, tuberculosis, bronchiectasis, pulmonary embolism, etc. In the diagnostic investigation of the cause of hemoptysis, it is important to take a detailed history (in the case of an epidemiological history, a laboratory analysis of the secreted sputum for the detection of the causative agent of an infectious disease is necessary), to make the correct interpretation of the patient’s complaints and an assessment of the nature of the sputum (differential diagnosis with bleeding from the upper gastrointestinal tract). A chest X-ray is performed and, then, if indicated, computed tomography, bronchoscopy, and other studies are made. The article presents an algorithm for differential diagnostic investigation of hemoptysis in a patient


Author(s):  
Mari Tone ◽  
Nobuyasu Awano ◽  
Takehiro Izumo ◽  
Hanako Yoshimura ◽  
Tatsunori Jo ◽  
...  

Abstract Objective Solitary pulmonary nodules after liver transplantation are challenging clinical problems. Herein, we report the causes and clinical courses of resected solitary pulmonary nodules in patients who underwent liver transplantation. Methods We retrospectively obtained medical records of 68 patients who underwent liver transplantation between March 2009 and June 2016. This study mainly focused on patients with solitary pulmonary nodules observed on computed tomography scans during follow-ups that were conducted until their deaths or February 2019. Results Computed tomography scans revealed solitary pulmonary nodules in 7 of the 68 patients. Definitive diagnoses were obtained using video-assisted lung resection in all seven patients. None experienced major postoperative complications. The final pathologic diagnoses were primary lung cancer in three patients, pulmonary metastases from hepatocellular carcinoma in one patient, invasive pulmonary aspergillosis in one patient, post-transplant lymphoproliferative disorder in one patient, and hemorrhagic infarction in one patient. The three patients with lung cancer were subsequently treated with standard curative resection. Conclusions Solitary pulmonary nodules present in several serious but potentially curable diseases, such as early-stage lung cancer. Patients who present with solitary pulmonary nodules after liver transplantation should be evaluated by standard diagnostic procedures, including surgical biopsy if necessary.


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