2021
DOI: 10.36416/1806-3756/e20210025
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Routine follow-up after surgical treatment of lung cancer: is chest CT useful?

Abstract: Objective: To report the experience of a routine follow-up program based on medical visits and chest CT. Methods: This was a retrospective study involving patients followed after complete surgical resection of non-small cell lung cancer between April of 2007 and December of 2015. The follow-up program consisted of clinical examination and chest CT. Each follow-up visit was classified as a routine or non-routine consultation, and patients were considered symptomatic or asymptomatic. The outcomes of the follow-u… Show more

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Cited by 4 publications
(2 citation statements)
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“…Based on the segmentation, volume and mean density (i.e., average Hounsfield (HU) value) were computed for each body tissue. (3) Tumor features based on dedicated chest CT scans: Lung tumors in the cohort were automatically segmented using our available algorithm [33], and 10 CT image features were quantified: (1) volume, (2) mean density, (3) surface area, (4) maximum diameter, (5) mean diameter, (6) solidness, (7) mean diameter of the solid part, (8) cavity ratio, (9) calcification volume, and (10) irregularity. We used a threshold of −300 HU to determine the solid component of a nodule.…”
Section: Study Variablesmentioning
confidence: 99%
See 1 more Smart Citation
“…Based on the segmentation, volume and mean density (i.e., average Hounsfield (HU) value) were computed for each body tissue. (3) Tumor features based on dedicated chest CT scans: Lung tumors in the cohort were automatically segmented using our available algorithm [33], and 10 CT image features were quantified: (1) volume, (2) mean density, (3) surface area, (4) maximum diameter, (5) mean diameter, (6) solidness, (7) mean diameter of the solid part, (8) cavity ratio, (9) calcification volume, and (10) irregularity. We used a threshold of −300 HU to determine the solid component of a nodule.…”
Section: Study Variablesmentioning
confidence: 99%
“…However, even after successful surgical resection, the cancer recurrence rate remains alarmingly high, ranging from 30% to 55% [ 3 , 4 ], leading to poor outcomes [ 5 , 6 ]. Although follow-up computed tomography (CT) imaging after resection is crucial in identifying most cases of recurrence, current postoperative surveillance strategies do not consider individual risk factors beyond the pathologic stage [ 7 , 8 ]. Identifying additional preoperative factors that can influence postoperative cancer recurrence would allow for the better assessment of the likelihood of recurrence, which would be valuable in facilitating neoadjuvant and adjuvant therapy [ 9 , 10 ] to minimize recurrence and guiding initial follow-up treatment plans following surgical resection.…”
Section: Introductionmentioning
confidence: 99%