Missed Lung Cancer on Chest Radiography and Computed Tomography

Fardanesh, Mahmoudreza; White, Charles S.

doi:10.1053/j.sult.2012.01.006

Cited by 32 publications

(20 citation statements)

References 51 publications

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“…Compare with previous chest X-ray Use patients' clinical history to improve your accuracy and maintain a constant state of alert very similar in nature to those occurring on chest radiography (46).…”

Section: Missed Lung Cancer On Ctmentioning

confidence: 99%

“…6), ill-defined margins and central location. Regarding observer performance, diagnostic failures may be due to decision-making error, as in the case of inaccurate interpretation of the characteristics of a lung cancer as a benign process, and to recognition error (46). The mechanism of "satisfaction of search" could be another source of observer's false negative result, also in CT scans (49,50).…”

Section: Factors Leading To Missed Lung Cancer On Chest Ctmentioning

confidence: 99%

See 1 more Smart Citation

Missed lung cancer: when, where, and why?

Ciello

Franchi²,

Contegiacomo³

et al. 2017

Diagn Interv Radiol

141

106

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L ung cancer accounts for 1.59 million deaths per year worldwide (1). It has one of the poorest survival outcomes of all cancers, with over two-thirds of patients diagnosed at an advanced stage, when curative treatment is no longer feasible. Early diagnosis of lung cancer is the main goal to improve survival. Patients with non-small cell lung cancer (NSCLC) at an operable stage have higher survival rates than those presenting with metastatic disease, with five-year survival of 71%-77% for stage IA and 58% for stage IB (2).Initial identification of lung cancer in asymptomatic patients usually occurs on chest radiography or chest computed tomography (CT). When missed on imaging, lung cancer is inclined to progress from early-stage to advanced-stage disease, particularly if many years pass between radiologic exams (3), with potential medicolegal consequences.Legal actions involving malignancies of the bronchus or lung represent the sixth most common medicolegal issue, and among radiologists it is the second most common cause for litigation (4). About 90% of presumed mistakes in pulmonary tumor diagnosis occurred on chest radiography, only 5% on CT examinations, and the remaining 5% on other imaging studies (4).Awareness of the possible causes for overlooking a pulmonary lesion can help radiologists to reduce the occurrence of this eventuality. In this review, we analyze factors leading to a misdiagnosis of lung cancer mainly on chest radiography, and we discuss the impact of misdiagnosis on prognosis, its medicolegal implications, and methods to reduce the incidence of missed lung cancer. Finally, we briefly analyze the possible causes of errors on CT scans and potential aids. Factors leading to missed lung cancer on chest radiographyFormerly, different authors recognized the burden of missed lung cancer on radiography of the thorax. Indeed, early studies on the analysis of factors leading to overlooked lung lesions date back to the middle of last century. Despite extensive technological advancement, this issue is currently present and not much has changed since then. Factors that contribute to missed lung cancer on chest X-ray can be classified as deriving from observer error, tumor characteristics, and technical considerations. C H E S T I MAG I N G R E V I E W ABSTRACTMissed lung cancer is a source of concern among radiologists and an important medicolegal challenge. In 90% of the cases, errors in diagnosis of lung cancer occur on chest radiographs. It may be challenging for radiologists to distinguish a lung lesion from bones, pulmonary vessels, mediastinal structures, and other complex anatomical structures on chest radiographs. Nevertheless, lung cancer can also be overlooked on computed tomography (CT) scans, regardless of the context, either if a clinical or radiologic suspect exists or for other reasons. Awareness of the possible causes of overlooking a pulmonary lesion can give radiologists a chance to reduce the occurrence of this eventuality. Various factors contribute to a misdiagnosis of lung cancer ...

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Section: Missed Lung Cancer On Ctmentioning

confidence: 99%

Section: Factors Leading To Missed Lung Cancer On Chest Ctmentioning

confidence: 99%

Missed lung cancer: when, where, and why?

Ciello

Franchi²,

Contegiacomo³

et al. 2017

Diagn Interv Radiol

141

106

View full text Add to dashboard Cite

show abstract

“…Keller's motivational pattern not only focuses on what is taught, but also concentrates on teaching how to build meaningful learning. Keller pointed out that learning motivation consists of four factors: A) interests B) relevance C) expectancy D) satisfaction (16). Based on the survey and investigations conducted by researchers in terms of the research literature in Iran and abroad, no study was found to have investigated the same points the current study did.…”

mentioning

confidence: 63%

“…The component display theory suggested by Merrill is a model within the micro-level that was combined in this study with the elaboration theory. This model is in fact a description of the micro elements in education and is thus considered a micro-instructional design model (16) and conforms to the perspectives of Gagne & Briggs. From Merrill's point of view, all objects generally include two components: generalizations and instances.…”

mentioning

confidence: 97%

“…Based on extensive research done at the micro and macro levels of instructional design by Reigeluth which were published in the article "Review of the educational arraignment strategies," the "Elaboration Theory" was announced. Reigeluth himself emphasized that his model was going to complete the work of Merrill on the macro level (16). The main purpose of this model is to help instructional designers select and organize content in a manner that optimizes the realization of the learning goals.…”

mentioning

confidence: 99%

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Designing and Implementation of the Blended Instructional Model Based on Reigeluth, Merrill, Keller and the Investigation of Its Effect on Students’ Learning in Biology Course

Shahalizadeh

Amirteimoury

Zavaraki

2015

Interdiscip J Virtual Learn Med Sci

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Introduction: Instruction and learning play an important role in the twenty-first century which has been named the knowledge society and knowledge economy. The present research seeks to design and implement a blended instructional model based on the theories of Reigeluth, Merrill, and Keller and investigate its effect on students' learning in a biology course. Methods: In this research, the pretest-posttest, quasi-experimental method with control was used. The population consisted of all second year high school students studying at Imam Khomeini high school in the 2013 -2014 academic year. Using the random sampling method, the sample was selected and consisted of two classes, one of them as the control group and the other as the experimental group. Reliability of the research was calculated as 0.82 using the split-half method. Abundance, mean and standard deviation from descriptive statistics, and covariance methods were selected from inferential statistics, and SPSS version 20 was used to analyze data. Results:The results revealed a meaningful and significant difference between the learning levels of the experimental group and the control group in a biology course (F1, 37 = 23.808; P < 0.01). The group which taught using the blended instructional design model based on the models of Reigeluth, Merrill, and Keller achieved a higher level of learning than the control group. Based on the results, it can be said that the research model has a good fit with real world data. Conclusions: Use of the blended instructional design model based on Reigeluth, Merrill, and Keller's models in a biology course was more effective than conventional methods. The findings indicate that the blended instructional design model is an effective and efficient method for teaching a biology course.

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Expertise and Competence

Chrysikopoulos

2019

Errors in Imaging

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Missed Lung Cancer on Chest Radiography and Computed Tomography

Cited by 32 publications

References 51 publications

Missed lung cancer: when, where, and why?

Missed lung cancer: when, where, and why?

Designing and Implementation of the Blended Instructional Model Based on Reigeluth, Merrill, Keller and the Investigation of Its Effect on Students’ Learning in Biology Course

Expertise and Competence

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