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CT shows a case of minimally invasive adenocarcinoma, with a total size of 17 mm and solid component size of 7 mm. 

CT shows a case of minimally invasive adenocarcinoma, with a total size of 17 mm and solid component size of 7 mm. 

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Solitary pulmonary nodule (SPN) is defined as a rounded opacity ≤3 cm in diameter surrounded by lung parenchyma. The majority of smokers who undergo thin-section CT have SPNs, most of which are smaller than 7 mm. In the past, multiple follow-up examinations over a two-year period, including CT follow-up at 3, 6, 12, 18, and 24 months, were recommen...

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... of a granuloma, whereas a classic “popcorn” pattern is most often seen in hamartomas ( Figure 2 ) (24). In approximately half the cases of hamartoma, high-resolution CT can show a definitive pattern of fat and cartilage (29). Fat content suggests a hamartoma or occasionally a lipoid granuloma or lipoma (30). Calcification patterns that are stippled or eccentric have been associated with cancer. Another benign entity is rounded atelectasis. Diagnosis for rounded atelectasis can be made as it has specific diagnostic morphological features including subpleural location, curved course of blood vessels into the opacity, and evidence of pleural disease ( Figure 3 ) (31). When nodules considered as benign no further investigation is necessary. SPNs with irregular, spiculated margins, or lobulated contours, are typically associated with malignancy. Two patterns of the margins of a nodule are relatively specific for cancer. One is the corona radiata sign, consisting of very fine linear strands extending 4 to 5 mm outward from the nodule; they have a spiculated appearance on plain radiographs ( Figures 4,5 ). A scalloped border is associated with an intermediate probability of cancer. Although most SPNs with smooth, well-defined margins are benign, these features are not diagnostic of benignity. A total of 21% of malignant nodules had well-defined margins (29). For a single nodule, upper lobe location increases the likelihood of malignancy, because primary lung cancers are more common in the upper lobes (32). On the other hand, small, irregular, benign subpleural opacities, presumably due to scarring, are extremely common in the apical areas in older patients. Triangular or ovoid circumscribed nodules 3-9 mm in diameter adjacent to pleural fissures commonly represent intrapulmonary lymph nodes (33). In general, purely linear or sheetlike lung opacities are unlikely to represent neoplasms and do not require follow-up (34). When SPN is considered to be indeterminate in the initial exam, the risk factor of the patients should be evaluated. Increasing patient age generally correlates with increasing likelihood of malignancy. On the other hand, lung cancer is uncommon in patients younger than 40 years and is rare in those younger than 35 years (<1% of all cases) (35). The relative risk for developing lung carcinoma in male smokers was about 10 times that in nonsmokers (36). For heavy smokers, the risk was 15-35 times greater (37). Also, the cancer risk for smokers increases in proportion to the degree and duration of exposure to cigarette smoke (38). Other established risk factors include exposure to asbestos, uranium, and radon (39-41). A history of lung cancer in first-degree relatives is also a risk factor, and strong evidence for a specific lung cancer susceptibility gene has been discovered recently (42,43). A history of cancer can greatly increase the likelihood of a nodule being malignant (44). Low-risk individuals are <50 years old and have <20 pack-year smoking history. Moderate-risk group is defined as age >50 and >20 pack-year smoking history or second hand exposure, and no additional risk factor (random exposure, occupational exposure, cancer history, family history, or lung cancer). The positive relationship of lesion size to likelihood of malignancy has been clearly demonstrated (10-15). The standard size value used is an average of the largest and smallest cross-sectional diameters of the most representative area of the nodule. In a meta-analysis of eight large screening trials, the prevalence of malignancy depended on the size of the nodules, ranging from 0% to 1% for nodules 5 mm or smaller, 6% to 28% for those between 5 and 10 mm, and 64% to 82% for nodules 20 mm or larger. Even in smokers, the percentage of all nodules smaller than 4 mm that will eventually turn into lethal cancers is very low (<1%), whereas for those in the 8-mm range the percentage is approximately 10-20%. The 2005 Fleischner Society guideline ( Table 1 ) stated that at least 99% of all nodules 4 mm or smaller are benign and because such small opacities are common on thin-section CT scans, follow-up CT in every such case is not recommended; in selected cases with suspicious morphology or in high-risk subjects, a single follow-up scan in 12 months should be considered (45). This protocol could result in a few indolent cancers being missed, the number of such instances would be extremely small relative to the reduction in the number of unnecessary studies (45). The increased use of CT screening for lung cancer led to an increase in identification of early lesions such as adenocarcinoma in situ (AIS, histopathologically ≤ 30 mm, noninvasive lepidic growth, which at CT is usually nonsolid; Figure 6 ) and minimally invasive adenocarcinoma (MIA, histopathologically ≤ 30 mm and predominantly lepidic growth that has 5-mm or smaller invasion, which at CT is mainly nonsolid but may have a central solid component of up to approximately 5 mm; Figure 7 ) (22). These lesions should not be regarded as conventional invasive adenocarcinomas and can be observed rather than surgically resected (22). When the nodule is 5-9 mm in diameter, approximately 6% of cases showed interval nodule growth detectable on 4-8 month follow-up scans (11). For these nodules the best strategy is surveillance. The timing of these control examinations is given in Table 1 . This varies according to the nodule size (4-6, or 6-8 mm) and type of patients, specifically at low or high risk of malignancy concerned. Noncalcified nodules larger than 8 mm diameter can bear a substantial risk of malignancy ( Figure 8 ) (46). In the case of nodules larger than 8 mm, additional options such as contrast material-enhanced CT, positron emission tomography (PET), percutaneous needle biopsy, and thoracoscopic resection or videoassisted thoracoscopic resection can be considered (13). A common aspect of invasive adenocarcinoma of the lung is metastasis to the brain (47,48). Its probability is a function of the size of the primary tumor, at least for tumors in the 20-60 mm size range. For node-negative invasive adenocarcinoma of the lung, a 20 mm primary lesion has been found to show a 14% probability of brain metastatic disease, progressing nearly linearly to a 60 mm primary node-negative lesion showing a 64% probability of brain metastatic disease (47). In certain clinical settings, such as a patient presenting with neutropenic fever, the presence of a nodule may indicate active infection, and short-term imaging follow-up may be appropriate. Previous CT scans, chest radiographs, and other pertinent imaging studies should be obtained for comparison whenever possible, as they may serve to demonstrate either stability or interval growth of the nodule in question. In a patient with known primary malignancy, lung nodules, regardless of being solitary or multiple, would be deemed suspicious for metastases. Pertinent factors will include the site, cell type, and stage of the primary tumor and whether early detection of lung metastases will affect care. The volume doubling time (DT) for malignant bronchogenic tumors is rarely less than a month or more than a year. A nodule that was not present on a radiograph obtained less than two months before the current image is therefore not likely to be malignant. The “doubling time” (DT) of a nodule can be calculated using the following formula: DT = (t.ln2)/ln(Vf/Vi) Where Vi is the initial volume of the nodule, Vf the final volume, t the time interval between observations and ln the logarithmic value. This formula is based on an exponential model of nodule growth (23). Note that a 5-mm nodule with a DT of 60 days will reach a diameter of 20.3 mm in 12 months, whereas a similar nodule with a DT of 240 days would reach a diameter of only 7.1 mm in the same period. It has been considered that stability of nodule size for over 2 years for solid pulmonary nodules suggest benign nature. Recently, the radiologic-pathologic correlation of pure ground-glass attenuation nodules and mixed attenuation nodules with the histologic spectrum of pulmonary adenocarcinoma was described (49). Small purely ground-glass opacity (nonsolid) nodules that have malignant histopathologic features tend to grow very slowly, with a mean volume DT on the order of two years (50). Solid cancers, on the other hand, tend to grow more rapidly, with a mean volume DT on the order of 6 months. The growth rate of partly solid nodules tends to fall between these extremes, and this particular morphologic pattern is predictive of adenocarcinoma (46,51,52). Bronchoalveolar cell carcinomas and typical carcinoids occasionally appear to be stable for two or more years (53). Longer follow-up intervals are appropriate for nonsolid (ground-glass opacity) and very small opacities (50,51). Even if malignant, a nonsolid nodule that is smaller than 6 mm will probably not grow perceptibly in much less than 12 months (50,51). Currently, though the dictum that two-year stability on plain-film radiography indicates a benign process should be used with caution (54), it is still reasonable to use two-year stability on high-resolution CT as a practical guideline for predicting a benign process. Hasegawa et al. (50) reported an analysis of the growth rates of small lung cancers detected during a 3-year mass screening program. They classified nodules as ground-glass opacity, as ground-glass opacity with a solid component, or as solid. Mean volume DTs were 813, 457, and 149 days, respectively. In addition, the mean volume DT for cancerous nodules in nonsmokers was significantly longer than that for cancerous nodules in smokers. Authors of a number of other series have confirmed similar findings and have estimated the median tumor DTs, assuming a constant growth rate to be in the 160-180-day range (55,56). Authors of all of these reports, however, recognize wide variations, and in one study 22% of tumors had a volume ...

Citations

... With the recent advances in diagnostic and treatment modalities for lung cancer, some medical authorities recommended lung screening in the form of low-dose computed tomography (CT) as the most effective modality to reduce mortality from lung cancer by detecting early pulmonary nodules of indeterminate potential [4,5]. Several studies have demonstrated that the number, size, and nature of the pulmonary nodules predicted the malignant potential of such nodules [6][7][8]. ...
Article
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Background Direct localization of small and deep pulmonary nodules before thoracoscopic surgery using the hookwire or methylene blue techniques has been recently attempted for better surgical outcomes. In this study, we compare the outcomes of the above two techniques. Methods Two hundred and nineteen patients undergoing 135 hookwire and 151 methylene blue techniques in our University Hospital between July 2020 and January 2022 were compared for localization and hospitalization durations, and the complication risk. Other confounders included patients’ age, gender, localization position, nodules location, count, diameter, and depth. Results After adjustment of all predictors, the methylene blue technique was associated with a significant 0.6-min (parameter estimate (PE) = −0.568, p value = 0.0173) and an 0.7-day shorter localization and hospitalization time (PE = −0.713, p value = < 0.0001) as compared to using the hookwire technique. The hookwire technique was significantly associated with 5 times the risk of developing a post-localization complication (Adjusted Odds Ratio (Adj OR) = 4.52, 95% CI 1.53–13.33) and 3.6 times the risk of developing a pneumothorax (Adj OR = 3.57, 95% CI 1.1–11.62) as compared to adopting the methylene blue technique. Conclusions Compared to the hook wire technique, the methylene blue technique offers a shorter procedure and hospitalization stay, as well as a safer post-operative experience.
... Thành phần cấu trúc có tỷ trọng >200UH trong nốt được coi là tiêu chuẩn để phân biệt nốt có vôi hóa và nốt đặc không vôi hóa. Một vài đặc điểm của vôi hóa có thể gợi ý tổn thương lành tính như vôi hóa dạng nốt toàn bộ tổn thương, nhiều khả năng là u hạt cũ vôi hóa nên có thể khẳng định được tính chất lành tính, chỉ ngoại trừ ở bệnh nhân có tiền sử sarcoma xương, sarcoma sụn, carcinoma tuyến giáp hoặc carcinoma đại tràng có thể tổn thương di căn có vôi hóa, đa ổ [9]. ...
... Vôi hóa lấm tấm có thể được tìm thấy trong ung thư phế quản phổi và thường là khối u phát triển trên nền một tổn thương dạng u hạt vôi hóa có sẵn từ trước. Sự khác nhau giữa u hạt vôi hóa và kiểu vôi hóa ác tính này là vôi hóa thường ở ngoại vi và chỉ chiếm một phần nhỏ của khối u [9]. ...
Article
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... This may be related to the proliferation of fibrosis and infiltration of inflammatory cells in SPINs rather than the concurrence of different rates of cell growth and restriction caused by adjacent interstitium in lung cancers. 4,11,16,[21][22][23] Additionally, a few nodules with flat edges manifesting as polygonal shapes were only found in SPINs, which was probably caused by obstruction of Heterogeneous attenuation can be detected in both inflammatory and malignant nodules, but different pathological processes are responsible for this appearance. 5,9,12 Heterogeneous SPINs usually had multiple pathological components; however, the heterogeneous density in solid cancerous nodules usually indicated degeneration or uneven distribution of tumor cells. ...
Article
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Purpose: Solitary pulmonary inflammatory nodules (SPINs) are frequently misdiagnosed as malignancy. We aimed to investigate CT features and pathological findings of SPINs for improving diagnosis strategies. Patients and methods: In this retrospective study, 225 and 310 consecutive patients with confirmed SPINs and lung cancerous nodules were enrolled from January 2013 to December 2020. Nodules were classified into different types based on the key CT features: I, homogeneous and well-defined nodules with smooth (Ia), coarse (Ib), or spiculated margins (Ic); II, nodules with blurred boundaries, peripheral patches, or both; III, nodules exhibiting heterogeneous density; and IV, polygonal nodules. The pathological findings of SPINs were simultaneously studied and summarized. Results: Among the 225 SPINs, type I (Ia, Ib, and Ic), II, III, and IV were 137 (60.9%) (47 [20.9%], 33 [14.7%], and 57 [25.3%]), 62 (27.6%), 12 (5.3%) and 14 (6.2%), respectively. Correspondingly, those in 310 cancerous nodules were 275 (88.7%) (119 [38.4%], 70 [22.6%], and 86 [27.7%]), 20 (6.5%), 15 (4.8%), and 0, respectively. Compared with lung cancers, type I nodules were less common but type II and IV nodules were more common in SPINs (each P < 0.0001). Though the frequencies of subtype I (P = 0.095) and type III (P = 0.796) nodules were similar between two groups, their specific CT features were significantly different. The main pathological findings of each type of SPINs were most extensively identical (82.2 - 100%). Conclusion: Between cancerous nodules and SPINs, differences in overall or specific CT features exist. The type II and IV nodules are highly indicative of SPINs, and each type of SPINs have almost similar pathological findings.
... Han et al. [15] focus on boundary characteristics to analyze the benign and malignant pulmonary nodules. Wang et al. [16] establish an image enhancement model to highlight pulmonary nodules. Choi and Choi [17] use a fixed threshold to segment pulmonary nodules. ...
Article
Full-text available
The spiculation sign is one of the main signs to distinguish benign and malignant pulmonary nodules. In order to effectively extract the image feature of a pulmonary nodule for the spiculation sign distinguishment, a new spiculation sign recognition model is proposed based on the doctors' diagnosis process of pulmonary nodules. A maximum density projection model is established to fuse the local three-dimensional information into the two-dimensional image. The complete boundary of a pulmonary nodule is extracted by the improved Snake model, which can take full advantage of the parallel calculation of the Spike Neural P Systems to build a new neural network structure. In this paper, our experiments show that the proposed algorithm can accurately extract the boundary of a pulmonary nodule and effectively improve the recognition rate of the spiculation sign.
... Metastases: the adrenal glands are a common site for metastatic disease (Figures 6,7), most frequently as a consequence of a primary tumor involving lungs, breast, stomach, liver and pancreas. Due to the adrenal blood supply, the most frequent metastatic involvement is hematogenous (28,29). Metastases have no specific imaging findings, usually they appear hypointense on T1-weighted images and hyperintense on T2-weighted images, with ring or irregular enhancement after contrast injection. ...
Article
Detection of adrenal lesions, because of the widespread use of imaging and especially high-resolution imaging procedures, is increased. Because of the importance to characterize those findings, magnetic resonance imaging (MRI), in particular chemical shift imaging (CSI), is useful to distinguish whether a lesion is benignant or malignant and to avoid further diagnostic or surgical procedures. It represents the first choice of imaging in patient like children or pregnant women, and a valid complement to other imaging techniques like CT or PET/CT. In this review we analyze the role and characteristic of MRI and the imaging features of most common benignant (adenoma, hyperplasia, pheochromocytoma, hemorrhage, cyst, myelolipoma, teratoma, ganglioneuroma, cystic lymphangioma, hemangioma) and malignant [neuroblastoma, adrenocortical carcinoma (ACC), metastases, lymphoma] adrenal lesions.
... In the present study, only 19 recognized by all three raters, although all three radiologists were experienced and underwent a common training before the study. A previous study by Wormanns et al. (13) showed that the consistency of pulmonary nodules assessed by three radiologists was 47%. ...
... We use 4 mm diameter as a threshold according the guidelines (18)(19)(20)(21)(22)(23)(24). We referred to the 2016 National Comprehensive Cancer Network guidelines (NCCN), 2017 Fleischer Society guidelines, the 2013 American College of Chest Physicians guidelines (ACCP) and the 2016 Clinical practice consensus guidelines for Asia. ...
Article
Background: To study the consistency of radiologists in identifying pulmonary nodules based on low-dose computed tomography (LDCT), and to analyze factors that affect the consistency. Methods: A total of 750 LDCT cases were collected randomly from three medical centers. Three experienced chest radiologists independently evaluated and detected the pulmonary nodules on 625 cases of LDCT images. The detected nodules were classified into 3 groups: group I (detected by all radiologists); group II (detected by two radiologists); group III (detected by only one radiologist). The consistency with respect to the image features of individual nodules was assessed. Results: A total of 1,206 nodules were identified by the three radiologists. There were 234 (19.4%) nodules in group I, 377 (31.3%) nodules in group II, and 595 (49.3%) nodules in group III. Logistic regression showed that the size, density, and location of the nodules correlated with the detection of nodules. Nodules sized great than or equal to 4 mm were more consistently identified than nodules sized less than 4 mm. Solid and calcified nodules were more consistently identified than sub-solid nodules. Nodules located in the outer zone were more consistently identified than hilar nodules. Conclusions: There was considerable inter-reader variability with respect to identification of pulmonary nodules in LDCT. Larger nodules, solid or calcified nodules, and nodules located in the outer zone were more consistently identified.
... Copious but heterogenous data currently exists to help clinicians determine the malignancy risk of lung nodules based on clinical history and radiographic features on chest CT and 18 FDG-PET scan. [11][12][13][14][15][16][17] Additionally, the established Response Evaluation Criteria in Solid Tumors (RECIST) is widely used to assess treatment response and recurrence. 18 Despite the surplus of data, there is currently no consensus on recommendations for the clinical diagnosis of early stage NSCLC warranting treatment with empiric SBRT. ...
... The adrenal blood supply is plentiful, and accordingly, it is a common organ for hematogenous metastasis of malignant tumors (41,42). While all malignant tumors have the possibility of metastasizing to the adrenal gland, the most common primary malignancies that affect the adrenal gland include lung cancer, breast cancer, gastric cancer, liver cancer and pancreatic cancer. ...
Article
Besides ultrasound and nuclear medicine techniques, computed tomography (CT) and magnetic resonance imaging (MRI) are commonly used to examine adrenal lesions in both symptomatic and asymptomatic patients. Some adrenal lesions have characteristic radiological features. If an adrenal nodule is discovered incidentally, determining whether the lesion is benign or malignant is of great importance. According to their biological behavior, lesions can be divided into benign (mainly: adenoma, hyperplasia, pheochromocytoma, cyst, hemorrhage, cystic lymphangioma, myelolipoma, hemangioma, ganglioneuroma, teratoma) and malignant (mainly: metastases, adrenal cortical carcinoma, neuroblastoma, lymphoma) conditions. In this paper, we review CT/MRI findings of common adrenal gland lesions.
... Copious but heterogenous data currently exists to help clinicians determine the malignancy risk of lung nodules based on clinical history and radiographic features on chest CT and 18 FDG-PET scan. [11][12][13][14][15][16][17] Additionally, the established Response Evaluation Criteria in Solid Tumors (RECIST) is widely used to assess treatment response and recurrence. 18 Despite the surplus of data, there is currently no consensus on recommendations for the clinical diagnosis of early stage NSCLC warranting treatment with empiric SBRT. ...
Article
Full-text available
Background There is emerging reliance on clinical imaging for the diagnosis, prognosis, and treatment evaluation of early stage non‐small cell lung cancer (NSCLC) in patients deemed too high risk for biopsy. We report our experience of clinically diagnosed NSCLC treated empirically with stereotactic body radiotherapy (SBRT) to validate the imaging parameters used for management in this high‐risk population. Methods We reviewed 101 empiric lung SBRT cases and profiled imaging specifics of computed tomography and positron emission tomography for diagnosis and follow‐up. Secondarily, we identified potential correlates of disease progression with Cox regression multivariate analysis. Results Fifty‐seven men and 43 women aged 45–94 (median 76) were treated with a median dose of 48 Gy in four fractions. The median nodule diameter was 1.6 cm (0.6–4.5 cm) and most were spiculated (n = 58), right‐sided (n = 63), and in the upper lobe (n = 68). Median follow‐up and survival rates were 14 and 28 months, respectively. Local control at three years was 94%. Freedom from any progression at one and three years was 85% and 69%, respectively. Toxicity ≥ grade 3 included two grade 3 dyspneas. A pre‐treatment standard uptake value > 4.1 was the only significant predictor of disease progression. Conclusion This study illustrates the instrumental role of modern clinical imaging for the effective management of presumed early stage NSCLC treated with empiric lung SBRT. As lung SBRT without tissue confirmation becomes more common, hopefully these assertions can be prospectively validated.
... Several researchers have developed CADe methods to detect lung nodules for CT [9][10][11][12][13][14][15][16][17][18][19], PET [20][21][22], and PET/CT [23][24][25]. Lee et al. proposed a method for detecting lung nodules using CT images alone based on genetic algorithms and template matching [9]. ...
... Han et al. proposed fast and adaptive detection of pulmonary nodules using a hierarchical vector quantization scheme [17]. Wang et al. reviewed the imaging technique for lung diseases and automated detection systems [18]. We also have developed a fast detection method for pulmonary nodules using CNEF [19]. ...
... Song et al. studied the lesion detection and characterization in the lung PET/CT images by using context driven approximation; out of 158 hot-spot lesions, 157 were detected [25]. The previous methods described in the above studies detect the pulmonary nodules from CT [9][10][11][12][13][14][15][16][17][18][19] or PET [20][21][22][23][24][25] images alone. However, in current clinical settings, radiologists identify nodules using both PET and CT images. ...
Chapter
Lung cancer is a leading cause of death in human globally. Owing to the low survival rates among lung cancer patients, it is essential to detect and treat cancer at an early stage. In some countries, positron emission tomography (PET)/X-ray computed tomography (CT) examination is also used for the cancer screening in addition to diagnosis and follow-up of treatment. PET/CT images provide both anatomical and functional information of the lung cancer. However, radiologists must examine a large number of these images and therefore, support tools for the localization of lung nodule are desired. This chapter highlights our recent contributions to a hybrid detection scheme of lung nodules in PET/CT images. In the CT image, a massive region is first detected using a cylindrical nodule enhancement filter (CNEF), which is a cylindrical kernel shaped by contrast enhancement filter. Subsequently, high-uptake regions detected by the PET images are merged with the region detected by the CT image. False positives (FPs) among the leading candidates are eliminated by a rule-based classifier and three support vector machines based on the characteristic features obtained from CT and PET images. Experimentally, the detection capability was evaluated using 100 cases of PET/CT images. As a result, the sensitivity in detecting candidates was 83%, with 5 FPs/case. These results indicate that the proposed hybrid method may be useful for the computer-aided detection of lung cancer in clinical practice.