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Kamtam DN, Shrager JB. We should be considering lung cancer screening for never-smoking Asian American females. J Thorac Cardiovasc Surg 2024; 168:272-277.e1. [PMID: 37844730 DOI: 10.1016/j.jtcvs.2023.10.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 10/06/2023] [Accepted: 10/11/2023] [Indexed: 10/18/2023]
Affiliation(s)
- Devanish N Kamtam
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, Calif
| | - Joseph B Shrager
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, Calif; Department of Surgery, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif.
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2
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Yang Y, Gao Y, Lu F, Wang E, Liu H. Correlation of CT features of lung adenocarcinoma with sex and age. Sci Rep 2024; 14:13414. [PMID: 38862598 PMCID: PMC11167049 DOI: 10.1038/s41598-024-64335-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 06/07/2024] [Indexed: 06/13/2024] Open
Abstract
This study aimed to retrospectively examine the computed tomography (CT) features of lung adenocarcinoma across different demographic groups. Preoperative chest CT findings from 1266 surgically resected lung adenocarcinoma cases were retrospectively analyzed. Lung adenocarcinomas were categorized based on CT characteristics into pure ground glass (pGGO), nodule-containing ground glass opacity (mGGO), and pure solid without containing ground glass opacity (pSD). These categories were correlated with sex, age, EGFR status, and five histopathological subtypes. The diameters of pGGO, mGGO, and pSD significantly increased across all patient groups (P < 0.05). Males exhibited a significantly higher proportion of pSD than females (P = 0.002). The mean diameters of pGGO and pSD were significantly larger in males than in females (P = 0.0017 and P = 0.043, respectively). The frequency of pGGO was higher in the younger age group (≤ 60 years) compared to the older group (> 60 years) for both males (P = 0.002) and females (P = 0.027). The frequency of pSD was higher in the older age group for both sexes. A linear correlation between age and diameter was observed in the entire cohort as well as in the male and female groups (P < 0.0001 for all groups). EGFR mutations were less frequent in pSD compared to pGGO (P = 0.0002) and mGGO (P < 0.0001). The frequency of lesions containing micropapillary components increased from pGGO to mGGO and pSD (P < 0.0001 for all). The frequency of lesions containing solid components also increased from pGGO to mGGO and pSD (P = 0.045, P < 0.0001, and P < 0.0001, respectively). The CT features of lung adenocarcinoma exhibit differences across genders and age groups. Male gender and older age are risk factors for lung adenocarcinoma growth.
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Affiliation(s)
- Yanli Yang
- Department of Radiology, Huadong Hospital, Fudan University, Shanghai, 200040, China
| | - Yiyi Gao
- Department of Radiology, Huadong Hospital, Fudan University, Shanghai, 200040, China
| | - Fang Lu
- Department of Radiology, Huadong Hospital, Fudan University, Shanghai, 200040, China
| | - Ernuo Wang
- Department of Radiology, Huadong Hospital, Fudan University, Shanghai, 200040, China
| | - Haiquan Liu
- Department of Radiology, Huadong Hospital, Fudan University, Shanghai, 200040, China.
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Chang YC, Chen PT, Hsieh MS, Huang YS, Ko WC, Lin MW, Hsu HH, Chen JS, Chang YC. Discrimination of invasive lung adenocarcinoma from Lung-RADS category 2 nonsolid nodules through visual assessment: a retrospective study. Eur Radiol 2024; 34:3453-3461. [PMID: 37914975 DOI: 10.1007/s00330-023-10317-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 09/11/2023] [Accepted: 09/24/2023] [Indexed: 11/03/2023]
Abstract
OBJECTIVES Invasive adenocarcinomas (IADs) have been identified among nonsolid nodules (NSNs) assigned as Lung Imaging Reporting and Data System (Lung-RADS) category 2. This study used visual assessment for differentiating IADs from noninvasive lesions (NILs) in this category. METHODS This retrospective study included 222 patients with 242 NSNs, which were resected after preoperative computed tomography (CT)-guided dye localization. Visual assessment was performed by using the lung and bone window (BW) settings to classify NSNs into BW-visible (BWV) and BW-invisible (BWI) NSNs. In addition, nodule size, shape, border, CT attenuation, and location were evaluated and correlated with histopathological results. Logistic regression was performed for multivariate analysis. A p value of < 0.05 was considered statistically significant. RESULTS A total of 242 NSNs (mean diameter, 7.6 ± 2.8 mm), including 166 (68.6%) BWV and 76 (31.4%) BWI NSNs, were included. IADs accounted for 31% (75) of the nodules. Only 4 (5.3%) IADs were identified in the BWI group and belonged to the lepidic-predominant (n = 3) and acinar-predominant (n = 1) subtypes. In univariate analysis for differentiating IADs from NILs, the nodule size, shape, CT attenuation, and visual classification exhibited statistical significance. Nodule size and visual classification were the significant predictors for IAD in multivariate analysis with logistic regression (p < 0.05). The sensitivity, specificity, positive predictive value, and negative predictive value of visual classification in IAD prediction were 94.7%, 43.1%, 42.8%, and 94.7%, respectively. CONCLUSIONS The window-based visual classification of NSNs is a simple and objective method to discriminate IADs from NILs. CLINICAL RELEVANCE STATEMENT The present study shows that using the bone window to classify nonsolid nodules helps discriminate invasive adenocarcinoma from noninvasive lesions. KEY POINTS • Evidence has shown the presence of lung adenocarcinoma in Lung-RADS category 2 nonsolid nodules. • Nonsolid nodules are classified into the bone window-visible and the bone window-invisible nonsolid nodules, and this classification differentiates invasive adenocarcinoma from noninvasive lesions. • The Lung-RADS category 2 nonsolid nodules are unlikely invasive adenocarcinoma if they show nonvisualization in the bone window.
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Affiliation(s)
- Yu-Chien Chang
- Department of Medical Imaging, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan
- Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, 7 Chung-Shan South Rd., Taipei, 100225, Taiwan
| | - Po-Ting Chen
- Department of Medical Imaging, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan
- Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, 7 Chung-Shan South Rd., Taipei, 100225, Taiwan
| | - Min-Shu Hsieh
- Department of Pathology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yu-Sen Huang
- Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, 7 Chung-Shan South Rd., Taipei, 100225, Taiwan
| | - Wei-Chun Ko
- Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, 7 Chung-Shan South Rd., Taipei, 100225, Taiwan
| | - Mong-Wei Lin
- Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Hsao-Hsun Hsu
- Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Jin-Shing Chen
- Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yeun-Chung Chang
- Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, 7 Chung-Shan South Rd., Taipei, 100225, Taiwan.
- Department of Medical Imaging, National Taiwan University Cancer Center, Taipei, Taiwan.
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Im JG. Editorial Comment: Heterogeneous Ground-Glass Nodules (GGNs) Are Between Pure GGNs and Part-Solid Nodules in Prognosis. AJR Am J Roentgenol 2024; 222:e2430990. [PMID: 38380858 DOI: 10.2214/ajr.24.30990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Affiliation(s)
- Jung-Gi Im
- Seoul National University College of Medicine, Seoul, Korea
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5
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Sun JD, Sugarbaker E, Byrne SC, Gagné A, Leo R, Swanson SJ, Hammer MM. Clinical Outcomes of Resected Pure Ground-Glass, Heterogeneous Ground-Glass, and Part-Solid Pulmonary Nodules. AJR Am J Roentgenol 2024; 222:e2330504. [PMID: 38323785 PMCID: PMC11161307 DOI: 10.2214/ajr.23.30504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
BACKGROUND. Increased (but not definitively solid) attenuation within pure ground-glass nodules (pGGNs) may indicate invasive adenocarcinoma and the need for resection rather than surveillance. OBJECTIVE. The purpose of this study was to compare the clinical outcomes among resected pGGNs, heterogeneous ground-glass nodules (GGNs), and part-solid nodules (PSNs). METHODS. This retrospective study included 469 patients (335 female patients and 134 male patients; median age, 68 years [IQR, 62.5-73.5 years]) who, between January 2012 and December 2020, underwent resection of lung adenocarcinoma that appeared as a subsolid nodule on CT. Two radiologists, using lung windows, independently classified each nodule as a pGGN, a heterogeneous GGN, or a PSN, resolving discrepancies through discussion. A heterogeneous GGN was defined as a GGN with internal increased attenuation not quite as dense as that of pulmonary vessels, and a PSN was defined as having an internal solid component with the same attenuation as that of the pulmonary vessels. Outcomes included pathologic diagnosis of invasive adenocarcinoma, 5-year recurrence rates (locoregional or distant), and recurrence-free survival (RFS) and overall survival (OS) over 7 years, as analyzed by Kaplan-Meier and Cox proportional hazards regression analyses, with censoring of patients with incomplete follow-up. RESULTS. Interobserver agreement for nodule type, expressed as a kappa coefficient, was 0.69. Using consensus assessments, 59 nodules were pGGNs, 109 were heterogeneous GGNs, and 301 were PSNs. The frequency of invasive adenocarcinoma was 39.0% in pGGNs, 67.9% in heterogeneous GGNs, and 75.7% in PSNs (for pGGNs vs heterogeneous GGNs, p < .001; for pGGNs vs PSNs, p < .001; and for heterogeneous GGNs vs PSNs, p = .28). The 5-year recurrence rate was 0.0% in patients with pGGNs, 6.3% in those with heterogeneous GGNs, and 10.8% in those with PSNs (for pGGNs vs heterogeneous GGNs, p = .06; for pGGNs vs PSNs, p = .02; and for heterogeneous GGNs vs PSNs, p = .18). At 7 years, RFS was 97.7% in patients with pGGNs, 82.0% in those with heterogeneous GGNs, and 79.4% in those with PSNs (for pGGNs vs heterogeneous GGNs, p = .02; for pGGNs vs PSNs, p = .006; and for heterogeneous GGNs vs PSNs, p = .40); OS was 98.0% in patients with pGGNs, 84.6% in those with heterogeneous GGNs, and 82.9% in those with PSNs (for pGGNs vs heterogeneous GGNs, p = .04; for pGGNs vs PSNs, p = .01; and for heterogeneous GGNs vs PSNs, p = .50). CONCLUSION. Resected pGGNs had excellent clinical outcomes. Heterogeneous GGNs had relatively worse outcomes, more closely resembling outcomes for PSNs. CLINICAL IMPACT. The findings support surveillance for truly homogeneous pGGNs versus resection for GGNs showing internal increased attenuation even if not having a true solid component.
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Affiliation(s)
| | | | - Suzanne C. Byrne
- Departments of Radiology (J.D.S., S.C.B., M.M.H.), Surgery (E.S., R.L., S.J.S.), and Pathology (A.G.), Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115
| | - Andréanne Gagné
- Departments of Radiology (J.D.S., S.C.B., M.M.H.), Surgery (E.S., R.L., S.J.S.), and Pathology (A.G.), Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115
| | - Rachel Leo
- Departments of Radiology (J.D.S., S.C.B., M.M.H.), Surgery (E.S., R.L., S.J.S.), and Pathology (A.G.), Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115
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Omindo WW. Management of screening-detected ground glass nodules: a narrative review. Indian J Thorac Cardiovasc Surg 2024; 40:205-212. [PMID: 38389756 PMCID: PMC10879480 DOI: 10.1007/s12055-023-01595-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 08/21/2023] [Accepted: 08/23/2023] [Indexed: 02/24/2024] Open
Abstract
Wide-scale application of low-dose computed tomography (LDCT) in lung cancer screening has led to an increased detection of ground glass nodule (GGN) lesions. However, there is still no clear management plan for these lesions after detection. Clinicians are usually faced with a dilemma in choosing the best initial management approach that not only limits overtreatment but also avoids the possibility of lesions growing into invasive carcinoma. Most current and past guidelines favor surveillance with computed tomography (CT) as the initial management approach based on the notion that the majority of GGN lesions are indolent tumors. Immediate surgery is generally considered overtreatment and is usually only recommended when the lesion grows in size, persists, or increases its solid component during follow-up CT surveillance. However, due to evolution of surgery to minimal invasive procedures, such as uniportal video-assisted thoracic surgery, and the development of enhanced recovery after thoracic surgery protocols, modern surgery is now safer and associated with less postoperative mortality. Additionally, intraoperative frozen sections can be used to guide resection, making initial management via surgery more attractive than before. Based on these developments, this review recommends that immediate surgery should be considered at the same level as follow-up CT surveillance when making multidisciplinary team decisions for screening-detected GGNs, as it provides both a diagnostic and treatment role.
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Affiliation(s)
- Willis Wasonga Omindo
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030 Hubei China
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Miyoshi T, Tane K, Samejima J, Aokage K, Tsuboi M. Predictors of residual simultaneous multiple ground-glass nodule progression after dominant lesion resection. Gen Thorac Cardiovasc Surg 2024; 72:183-191. [PMID: 37676471 DOI: 10.1007/s11748-023-01968-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 08/07/2023] [Indexed: 09/08/2023]
Abstract
OBJECTIVE This study aimed to identify the predictive factors for the progression of residual simultaneous multifocal ground-glass nodules (SMGGNs) after resection of the dominant lesion. METHODS Patients (n = 3420) with primary lung cancer who underwent lung resections at our hospital between 2006 and 2016 were screened, and the data from 82 patients who had residual SMGGNs after undergoing surgery for the dominant lesion (pathologically stage 0-IIA) were retrospectively analyzed. Clinicopathological factors that predicted the growth of residual second dominant GGNs were identified. RESULTS Median total tumor and solid component sizes of the residual second dominant GGNs were 1.3 cm (interquartile range [IQR]: 0.6-2.0) and 0 cm (IQR: 0-0.7), respectively. During a median follow-up period of 54 months (IQR: 37-78 months), 35 (43%) lesions progressed. Logistic regression analysis revealed that age younger than 70 (OR: 10.54, 95% CI: 1.71-65.11), a dominant lesion with pure solid appearance (reference: GGN, OR: 18.16, 95% CI: 1.66-198.60), a second dominant GGN total size larger than 1.0 cm (OR: 12.27, 95% CI: 1.85-81.17), and a second dominant GGN solid component size larger than 0.5 cm (OR: 17.59, 95% CI: 3.58-86.47) were significant predictive factors for the progression of residual GGNs (all p values < 0.03). Based on an analysis of growth patterns, rapid growth was higher in second dominant GGNs with a part-solid appearance. CONCLUSIONS If the resected dominant lesion or the residual second dominant GGN exhibits high-risk factors, the second dominant GGN should be meticulously observed.
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Affiliation(s)
- Tomohiro Miyoshi
- Department of Thoracic Surgery, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
| | - Kenta Tane
- Department of Thoracic Surgery, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Joji Samejima
- Department of Thoracic Surgery, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Keiju Aokage
- Department of Thoracic Surgery, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Masahiro Tsuboi
- Department of Thoracic Surgery, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
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Zanardo AP, Brentano VB, Grando RD, Rambo RR, Hertz FT, Anflor LC, dos Santos JFP, Galvão GS, Andrade CF. Detection of subsolid nodules on chest CT scans during the COVID-19 pandemic. J Bras Pneumol 2024; 49:e20230300. [PMID: 38232254 PMCID: PMC10769470 DOI: 10.36416/1806-3756/e20230300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 10/09/2023] [Indexed: 01/19/2024] Open
Abstract
OBJECTIVE To investigate the detection of subsolid nodules (SSNs) on chest CT scans of outpatients before and during the COVID-19 pandemic, as well as to correlate the imaging findings with epidemiological data. We hypothesized that (pre)malignant nonsolid nodules were underdiagnosed during the COVID-19 pandemic because of an overlap of imaging findings between SSNs and COVID-19 pneumonia. METHODS This was a retrospective study including all chest CT scans performed in adult outpatients (> 18 years of age) in September of 2019 (i.e., before the COVID-19 pandemic) and in September of 2020 (i.e., during the COVID-19 pandemic). The images were reviewed by a thoracic radiologist, and epidemiological data were collected from patient-filled questionnaires and clinical referrals. Regression models were used in order to control for confounding factors. RESULTS A total of 650 and 760 chest CT scans were reviewed for the 2019 and 2020 samples, respectively. SSNs were found in 10.6% of the patients in the 2019 sample and in 7.9% of those in the 2020 sample (p = 0.10). Multiple SSNs were found in 23 and 11 of the patients in the 2019 and 2020 samples, respectively. Women constituted the majority of the study population. The mean age was 62.8 ± 14.8 years in the 2019 sample and 59.5 ± 15.1 years in the 2020 sample (p < 0.01). COVID-19 accounted for 24% of all referrals for CT examination in 2020. CONCLUSIONS Fewer SSNs were detected on chest CT scans of outpatients during the COVID-19 pandemic than before the pandemic, although the difference was not significant. In addition to COVID-19, the major difference between the 2019 and 2020 samples was the younger age in the 2020 sample. We can assume that fewer SSNs will be detected in a population with a higher proportion of COVID-19 suspicion or diagnosis.
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Affiliation(s)
- Ana Paula Zanardo
- . Programa de Pós-Graduação em Ciências Pneumológicas, Universidade Federal do Rio Grande do Sul, Porto Alegre (RS) Brasil
- . Departamento de Radiologia, Hospital Moinhos de Vento, Porto Alegre (RS) Brasil
| | | | - Rafael Domingos Grando
- . Programa de Pós-Graduação em Ciências Pneumológicas, Universidade Federal do Rio Grande do Sul, Porto Alegre (RS) Brasil
- . Departamento de Radiologia, Hospital Moinhos de Vento, Porto Alegre (RS) Brasil
| | - Rafael Ramos Rambo
- . Programa de Pós-Graduação em Ciências Pneumológicas, Universidade Federal do Rio Grande do Sul, Porto Alegre (RS) Brasil
- . Departamento de Radiologia, Hospital Moinhos de Vento, Porto Alegre (RS) Brasil
| | | | - Luís Carlos Anflor
- . Departamento de Radiologia, Hospital Moinhos de Vento, Porto Alegre (RS) Brasil
- . Departamento de Medicina Interna, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre (RS) Brasil
| | - Jônatas Fávero Prietto dos Santos
- . Programa de Pós-Graduação em Ciências Pneumológicas, Universidade Federal do Rio Grande do Sul, Porto Alegre (RS) Brasil
- . Departamento de Radiologia, Hospital Moinhos de Vento, Porto Alegre (RS) Brasil
| | - Gabriela Schneider Galvão
- . Programa de Pós-Graduação em Ciências Pneumológicas, Universidade Federal do Rio Grande do Sul, Porto Alegre (RS) Brasil
- . Departamento de Radiologia, Hospital Moinhos de Vento, Porto Alegre (RS) Brasil
| | - Cristiano Feijó Andrade
- . Serviço de Cirurgia Torácica e Pulmonar, Hospital Moinhos de Vento, Porto Alegre (RS) Brasil
- . Serviço de Cirurgia Torácica e Pulmonar, Hospital de Clínicas de Porto Alegre, Porto Alegre (RS) Brasil
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Ohashi T, Kawago M, Iguchi H, Sakaguchi M, Sagan K, Kojima F, Nishimura Y. Minute pulmonary meningothelial-like nodule that was difficult to differentiate from lung adenocarcinoma due to specific computed tomography findings changes: A case report. Respirol Case Rep 2024; 12:e01263. [PMID: 38045822 PMCID: PMC10687590 DOI: 10.1002/rcr2.1263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 11/21/2023] [Indexed: 12/05/2023] Open
Abstract
Minute pulmonary meningothelial-like nodules (MPMNs) are benign lesions characterized by the appearance of ground-glass nodules (GGN) on computed tomography (CT). In the present case, an MPMN gradually developed into a substantial component during chest CT follow-up, and the GGN gradually transformed into a part-solid nodule. The imaging course described in this case is quite unique. Such CT images are characteristic of malignant tumours, especially, highly differentiated adenocarcinomas, which are difficult to differentiate preoperatively. Therefore, it is important to report this case.
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Affiliation(s)
- Takuya Ohashi
- Department of Thoracic SurgeryHashimoto Municipal HospitalWakayamaJapan
- Department of Thoracic and Cardiovascular SurgeryWakayama Medical UniversityWakayamaJapan
| | - Mitsumasa Kawago
- Department of Thoracic SurgeryHashimoto Municipal HospitalWakayamaJapan
| | - Hideto Iguchi
- Department of Thoracic and Cardiovascular SurgeryWakayama Medical UniversityWakayamaJapan
| | | | - Kanako Sagan
- Department of Human PathologyWakayama Medical UniversityWakayamaJapan
| | - Fumiyoshi Kojima
- Department of Human PathologyWakayama Medical UniversityWakayamaJapan
| | - Yoshiharu Nishimura
- Department of Thoracic and Cardiovascular SurgeryWakayama Medical UniversityWakayamaJapan
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Catarata MJ, Creamer AW, Dias M, Toland S, Chaabouni M, Verbeke K, Vieira Naia J, Hassan M, Naidu SB, Lynch GA, Blyth KG, Rahman NM, Hardavella G. ERS International Congress 2023: highlights from the Thoracic Oncology Assembly. ERJ Open Res 2024; 10:00860-2023. [PMID: 38410708 PMCID: PMC10895436 DOI: 10.1183/23120541.00860-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Accepted: 11/07/2023] [Indexed: 02/28/2024] Open
Abstract
Lung cancer is the leading cause of cancer mortality in the world. It greatly affects the patients' quality of life, and is thus a challenge for the daily practice in respiratory medicine. Advances in the genetic knowledge of thoracic tumours' mutational landscape, and the development of targeted therapies and immune checkpoint inhibitors, have led to a paradigm shift in the treatment of lung cancer and pleural mesothelioma. During the 2023 European Respiratory Society Congress in Milan, Italy, experts from all over the world presented their high-quality research and reviewed best clinical practices. Lung cancer screening, management of early stages of lung cancer, application of artificial intelligence and biomarkers were discussed and they will be summarised here.
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Affiliation(s)
- Maria Joana Catarata
- Pulmonology Department, Hospital de Braga, Braga, Portugal
- Tumour and Microenvironment Interactions Group, I3S – Institute for Health Research and Innovation, University of Porto, Porto, Portugal
| | | | - Margarida Dias
- Pulmonology Department, Centro Hospitalar Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal
| | - Sile Toland
- Department of Medicine, Letterkenny University Hospital, Letterkenny, Ireland
| | - Malek Chaabouni
- Asklepios Klinik Altona, Department of Internal Medicine II, Pulmonology and Thoracic Oncology Section, Hamburg, Germany
| | - Koen Verbeke
- Department of Respiratory Medicine, University Hospital Saint-Pierre, Université Libre de Bruxelles, Brussels, Belgium
| | | | - Maged Hassan
- Chest Diseases Department, Alexandria University Faculty of Medicine, Alexandria, Egypt
| | | | - Geraldine A. Lynch
- Academic Respiratory Unit, University of Bristol Medical School, Bristol, UK
| | - Kevin G. Blyth
- Queen Elizabeth University Hospital, Glasgow, UK
- Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK
| | - Najib M. Rahman
- Oxford University Hospitals NHS Foundation Trust, Oxford NIHR Biomedical Research Centre, John Radcliffe Hospital, Headington, UK
| | - Georgia Hardavella
- 9th Department of Respiratory Medicine, Sotiria Athens Chest Diseases Hospital, Athens, Greece
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Wu FZ, Wu YJ, Chen CS, Tang EK. Prediction of Interval Growth of Lung Adenocarcinomas Manifesting as Persistent Subsolid Nodules ≤3 cm Based on Radiomic Features. Acad Radiol 2023; 30:2856-2869. [PMID: 37080884 DOI: 10.1016/j.acra.2023.02.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/23/2022] [Accepted: 02/27/2023] [Indexed: 04/22/2023]
Abstract
RATIONALES AND OBJECTIVES To investigate the prognostic value of the radiomic-based prediction model in predicting the interval growth rate of persistent subsolid nodules (SSNs) with an initial size of ≤ 3 cm manifesting as lung adenocarcinomas. MATERIALS AND METHODS A total of 133 patients (mean age, 59.02 years; male, 37.6%) with 133 SSNs who underwent a series of CT examinations at our hospital between 2012 and 2022 were included in this study. Forty-one radiomic features were extracted from each volumetric region of interest. Radiomic features combined with conventional clinical and semantic parameters were then selected for radiomic-based model building. To investigate the model performance in terms of substantial SSN growth and stage shift growth, the model performance was compared by the area under the curve (AUC) obtained by receiver operating characteristic analysis. RESULTS The mean follow-up period was 3.62 years. For substantial SSN growth, a radiomic-based model (Model 2) based on clinical characteristics, CT semantic features, and radiomic features yielded an AUCs of 0.869 (95% CI: 0.799-0.922). In comparison with Model 1 (clinical characteristics and CT semantic features), Model 2 performed better than Model 1 for substantial SSN growth (AUC model 1:0.793 versus AUC model 2:0.869, p = 0.028). A radiomic-based nomogram combining sex, follow-up period, and three radiomic features was built for substantial SSN growth prediction. For the stage shift growth, a radiomic-based model (Model 4) based on clinical characteristics, CT semantic features, and radiomic features yielded an AUCs of 0.883 (95% CI: 0.815-0.933). Compared with Model 3 (clinical characteristics and CT semantic features), Model 4 performed better than the model 3 for stage shift growth (AUC model 1: 0.769 versus AUC model 2: 0.883, p = 0.006). A radiomic-based nomogram combining the initial nodule size, SSN classification, follow-up period, and three radiomic features was built to predict the stage shift growth. CONCLUSION Radiomic-based models have superior utility in estimating the prognostic interval growth of patients with early lung adenocarcinomas (≤ 3 cm) than conventional clinical-semantic models in terms of substantial interval growth and stage shift growth, potentially guiding clinical decision-making with follow-up strategies of SSNs in personalized precision medicine.
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Affiliation(s)
- Fu-Zong Wu
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan; School of Medicine, College of Medicine, National Sun Yat-sen University, 70, Lien-hai Road, Kaohsiung 80424, Taiwan; Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
| | - Yun-Ju Wu
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan; Department of Software Engineering and Management, National Kaohsiung Normal University, Kaohsiung, Taiwan
| | - Chi-Shen Chen
- Physical Examination Center, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - En-Kuei Tang
- Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
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12
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Li S, Chen M, Wang Y, Li X, Gao G, Luo X, Tang L, Liu X, Wu N. An Effective Malignancy Prediction Model for Incidentally Detected Pulmonary Subsolid Nodules Based on Current and Prior CT Scans. Clin Lung Cancer 2023; 24:e301-e310. [PMID: 37596166 DOI: 10.1016/j.cllc.2023.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 07/30/2023] [Accepted: 08/01/2023] [Indexed: 08/20/2023]
Abstract
INTRODUCTION It is challenging to diagnose and manage incidentally detected pulmonary subsolid nodules due to their indolent nature and heterogeneity. The objective of this study is to construct a decision tree-based model to predict malignancy of a subsolid nodule based on radiomics features and evolution over time. MATERIALS AND METHODS We derived a training set (2947 subsolid nodules), a test set (280 subsolid nodules) from a cohort of outpatient CT scans, and a second test set (5171 subsolid nodules) from the National Lung Cancer Screening Trial (NLST). A Computer-Aided Diagnosis system (CADs) automatically extracted 28 preselected radiomics features, and we calculated the feature change rates as the change of the quantitative measure per time unit between the prior and current CT scans. We built classification models based on XGBoost and employed 5-fold cross validation to optimize the parameters. RESULTS The model that combined radiomics features with their change rates performed the best. The Areas Under Curve (AUCs) on the outpatient test set and on the NLST test set were 0.977 (95% CI, 0.958-0.996) and 0.955 (95% CI, 0.930-0.980), respectively. The model performed consistently well on subgroups stratified by nodule diameters, solid components, and CT scan intervals. CONCLUSION This decision tree-based model trained with the outpatient dataset gives promising predictive performance on the malignancy of pulmonary subsolid nodules. Additionally, it can assist clinicians to deliver more accurate diagnoses and formulate more in-depth follow-up strategies.
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Affiliation(s)
- Shaolei Li
- Department of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
| | - Mailin Chen
- Department of Radiology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
| | - Yaqi Wang
- Department of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
| | - Xiang Li
- Department of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
| | | | | | - Lei Tang
- Department of Radiology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
| | | | - Nan Wu
- Department of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
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13
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Miyoshi T, Ito H, Wakabayashi M, Hashimoto T, Sekino Y, Suzuki K, Tsuboi M, Moriya Y, Yoshino I, Isaka T, Hattori A, Mimae T, Isaka M, Maniwa T, Endo M, Yoshioka H, Nakagawa K, Nakajima R, Tsutani Y, Saji H, Okada M, Aokage K, Fukuda H, Watanabe SI. Risk factors for loss of pulmonary function after wedge resection for peripheral ground-glass opacity dominant lung cancer. Eur J Cardiothorac Surg 2023; 64:ezad365. [PMID: 37930048 DOI: 10.1093/ejcts/ezad365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 10/23/2023] [Accepted: 10/30/2023] [Indexed: 11/07/2023] Open
Abstract
OBJECTIVES This study aimed to identify the risk factors for pulmonary functional deterioration after wedge resection for early-stage lung cancer with ground-glass opacity, which remain unclear, particularly in low-risk patients. METHODS We analysed 237 patients who underwent wedge resection for peripheral early-stage lung cancer in JCOG0804/WJOG4507L, a phase III, single-arm confirmatory trial. The changes in forced expiratory volume in 1 s were calculated pre- and postoperatively, and a cutoff value of -10%, the previously reported reduction rate after lobectomy, was used to divide the patients into 2 groups: the severely reduced group (≤-10%) and normal group (>-10%). These groups were compared to identify predictors for severe reduction. RESULTS Thirty-seven (16%) patients experienced severe reduction. Lesions with a total tumour size ≥1 cm were significantly more frequent in the severely reduced group than in the normal group (89.2% vs 71.5%; P = 0.024). A total tumour size of ≥1 cm [odds ratio (OR), 3.287; 95% confidence interval (CI), 1.114-9.699: P = 0.031] and pleural indentation (OR, 2.474; 95% CI, 1.039-5.890: P = 0.041) were significant predictive factors in the univariable analysis. In the multivariable analysis, pleural indentation (OR, 2.667; 95% CI, 1.082-6.574; P = 0.033) was an independent predictive factor, whereas smoking status and total tumour size were marginally significant. CONCLUSIONS Of the low-risk patients who underwent pulmonary wedge resection for early-stage lung cancer, 16% experienced severe reduction in pulmonary function. Pleural indentation may be a risk factor for severely reduced pulmonary function in pulmonary wedge resection.
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Affiliation(s)
- Tomohiro Miyoshi
- Division of Thoracic Surgery, Department of Thoracic Oncology, National Cancer Center Hospital East, Chiba, Japan
| | - Hiroyuki Ito
- Department of Thoracic Surgery, Kanagawa Cancer Center, Kanagawa, Japan
| | - Masashi Wakabayashi
- JCOG Data Center/Operations Office, National Cancer Center Hospital, Tokyo, Japan
| | - Tadayoshi Hashimoto
- Translational Research Support Section, National Cancer Center Hospital East, Chiba, Japan
| | - Yuta Sekino
- JCOG Data Center/Operations Office, National Cancer Center Hospital, Tokyo, Japan
| | - Kenji Suzuki
- Department of General Thoracic Surgery, Juntendo University School of Medicine, Tokyo, Japan
| | - Masahiro Tsuboi
- Division of Thoracic Surgery, Department of Thoracic Oncology, National Cancer Center Hospital East, Chiba, Japan
| | - Yasumitsu Moriya
- Department of Thoracic Surgery, Chiba Rosai Hospital, Chiba, Japan
| | - Ichiro Yoshino
- Department of Thoracic Surgery, International University of Health and Welfare School of Medicine, Chiba, Japan
| | - Tetsuya Isaka
- Department of Thoracic Surgery, Kanagawa Cancer Center, Kanagawa, Japan
| | - Aritoshi Hattori
- Department of General Thoracic Surgery, Juntendo University School of Medicine, Tokyo, Japan
| | - Takahiro Mimae
- Department of Surgical Oncology, Hiroshima University Hospital, Hiroshima, Japan
| | - Mitsuhiro Isaka
- Department of Thoracic Surgery, Shizuoka Cancer Center Hospital, Shizuoka, Japan
| | - Tomohiro Maniwa
- Department of Thoracic Surgery, Osaka International Cancer Institute, Osaka, Japan
| | - Makoto Endo
- Department of Thoracic Surgery, Yamagata Prefectural Central Hospital, Yamagata, Japan
| | - Hiroshige Yoshioka
- Department of Thoracic Oncology, Kansai Medical University Hospital, Osaka, Japan
| | - Kazuo Nakagawa
- Division of Thoracic Surgery, National Cancer Center Hospital, Tokyo, Japan
| | - Ryu Nakajima
- Department of General Thoracic Surgery, Osaka City General Hospital, Osaka, Japan
| | - Yasuhiro Tsutani
- Division of Thoracic Surgery, Department of Surgery, Kindai University Faculty of Medicine, Osaka, Japan
| | - Hisashi Saji
- Department of Chest Surgery, St. Marianna University School of Medicine, Kanagawa, Japan
| | - Morihito Okada
- Department of Surgical Oncology, Hiroshima University Hospital, Hiroshima, Japan
| | - Keiju Aokage
- Division of Thoracic Surgery, Department of Thoracic Oncology, National Cancer Center Hospital East, Chiba, Japan
| | - Haruhiko Fukuda
- JCOG Data Center/Operations Office, National Cancer Center Hospital, Tokyo, Japan
| | - Shun-Ichi Watanabe
- Division of Thoracic Surgery, National Cancer Center Hospital, Tokyo, Japan
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14
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Hammer MM. Risk and Time to Diagnosis of Lung Cancer in Incidental Pulmonary Nodules. J Thorac Imaging 2023:00005382-990000000-00117. [PMID: 38095275 PMCID: PMC11128536 DOI: 10.1097/rti.0000000000000768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
PURPOSE To determine the risk of lung cancer in incidental pulmonary nodules, as well as the time until cancer growth is detected. PATIENTS AND METHODS This retrospective study examined patients with incidental nodules detected on chest computed tomography (CT) in 2017. Characteristics of the dominant nodule were automatically extracted from CT reports, and cancer diagnoses were manually verified by a thoracic radiologist. Nodules were categorized per Fleischner Society guideline categories: solid <6 mm, solid 6 to 8 mm, solid >8 mm, subsolid <6 mm, ground glass nodules ≥6 mm, and part-solid nodules ≥6 mm. The time to nodule growth was determined by CT reports. RESULTS A total of 3180 patients (nodules) were included, of which 155 (5%) were diagnosed with lung cancer. By category, 7/1601 (0.4%) solid nodules <6 mm, 11/713 (1.5%) solid nodules 6 to 8 mm, 71/446 (15.9%) solid nodules >8 mm, 1/124 (0.8%) subsolid nodules <6 mm, 29/202 (14.4%) ground glass nodules ≥6 mm, and 36/94 (37.9%) part-solid nodules ≥6 mm were malignant. Of solid lung cancers <6 mm, growth was observed in 1/4 imaged by 1 year and 2/5 by 2 years; of solid lung cancers 6 to 8 mm, growth was observed in 3/10 imaged by 1 year and 6/10 by 2 years. CONCLUSION Solid nodules <6 mm have a very low risk of malignancy and may not require routine follow-up. However, when malignant, growth is often not observed until 2 or more years later; therefore, stability at 1 to 2 years does not imply benignity.
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Affiliation(s)
- Mark M Hammer
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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15
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Xue W, Kong L, Zhang X, Xin Z, Zhao Q, He J, Wu W, Duan G. Tumor blood vessel in 3D reconstruction CT imaging as an risk indicator for growth of pulmonary nodule with ground-glass opacity. J Cardiothorac Surg 2023; 18:333. [PMID: 37968739 PMCID: PMC10647107 DOI: 10.1186/s13019-023-02423-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 11/03/2023] [Indexed: 11/17/2023] Open
Abstract
OBJECTIVE Despite the vital role of blood perfusion in tumor progression, in patients with persistent pulmonary nodule with ground-glass opacity (GGO) is still unclear. This study aims to investigate the relationship between tumor blood vessel and the growth of persistent malignant pulmonary nodules with ground-glass opacity (GGO). METHODS We collected 116 cases with persistent malignant pulmonary nodules, including 62 patients as stable versus 54 patients in the growth group, from 2017 to 2021. Three statistical methods of logistic regression model, Kaplan-Meier analysis regression analysis were used to explore the potential risk factors for growth of malignant pulmonary nodules with GGO. RESULTS Multivariate variables logistic regression analysis and Kaplan-Meier analysis identified that tumor blood vessel diameter (p = 0.013) was an significant risk factor in the growth of nodules and Cut-off value of tumor blood vessel diameter was 0.9 mm with its specificity 82.3% and sensitivity 66.7%.While in subgroup analysis, for the GGO CTR < 0.5[C(the maximum diameter of consolidation in tumor)/T(the maximum diameter of the whole tumor including GGO) ratio], tumor blood vessel diameter (p = 0.027) was important during the growing processes of nodules. CONCLUSIONS The tumor blood vessel diameter of GGO lesion was closely associated with the growth of malignant pulmonary nodules. The results of this study would provide evidence for effective follow-up strategies for pulmonary nodule screening.
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Affiliation(s)
- Wenfei Xue
- Department of Thoracic Surgery, Hebei Province General Hospital, No. 348, Heping Road West, Xinhua District, Shijiazhuang, 050000, China
| | - Lingxin Kong
- Department of Thoracic Surgery, Hebei Province General Hospital, No. 348, Heping Road West, Xinhua District, Shijiazhuang, 050000, China
- Graduate School, Hebei Medical University, Shijiazhuang, 050000, China
| | - Xiaopeng Zhang
- Department of Thoracic Surgery, Hebei Province General Hospital, No. 348, Heping Road West, Xinhua District, Shijiazhuang, 050000, China
| | - Zhifei Xin
- Department of Thoracic Surgery, Hebei Province General Hospital, No. 348, Heping Road West, Xinhua District, Shijiazhuang, 050000, China
| | - Qingtao Zhao
- Department of Thoracic Surgery, Hebei Province General Hospital, No. 348, Heping Road West, Xinhua District, Shijiazhuang, 050000, China
| | - Jie He
- Department of Thoracic Surgery, Hebei Province General Hospital, No. 348, Heping Road West, Xinhua District, Shijiazhuang, 050000, China
| | - Wenbo Wu
- Department of Thoracic Surgery, Hebei Province General Hospital, No. 348, Heping Road West, Xinhua District, Shijiazhuang, 050000, China
| | - Guochen Duan
- Department of Thoracic Surgery, Hebei Province General Hospital, No. 348, Heping Road West, Xinhua District, Shijiazhuang, 050000, China.
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16
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Zhang JT, Zhang J, Wang SR, Yan LX, Qin J, Yin K, Chu XP, Wang MM, Hong HZ, Lv ZY, Dong S, Jiang BY, Zhang XC, Liu X, Zhou Q, Wu YL, Zhong WZ. Spatial downregulation of CD74 signatures may drive invasive component development in part-solid lung adenocarcinoma. iScience 2023; 26:107699. [PMID: 37810252 PMCID: PMC10550719 DOI: 10.1016/j.isci.2023.107699] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 05/23/2023] [Accepted: 08/18/2023] [Indexed: 10/10/2023] Open
Abstract
Pulmonary nodules with part-solid imaging features manifest during the progression from preinvasive to invasive lung adenocarcinoma. To define the spatial composition and evolutionary trajectories of early-stage lung adenocarcinoma, we combined spatial transcriptomics (ST) and pathological annotations from 20 part-solid nodules (PSNs), four of which were matched with single-cell RNA sequencing. Two malignant cell populations (MC1 and MC2) were identified, and a linear evolutionary relationship was observed. Compared to MC2, the pre-existing malignant MC1 exhibited a lower metastatic signature, corresponding to the preinvasive component (lepidic) on pathology and the ground glass component on PSN imaging. Higher immune infiltration was observed among MC1 regions in ST profiles, and further analysis revealed that macrophages may be involved in this process through the CD74 axis. This work provides deeper insights into the evolutionary process and spatial immune cell composition behind PSNs and highlights the mechanisms of immune escape behind this adenocarcinoma trajectory.
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Affiliation(s)
- Jia-Tao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | | | - Song-Rong Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Li-Xu Yan
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Jing Qin
- School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Kai Yin
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Xiang-Peng Chu
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Meng-Min Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Hui-Zhao Hong
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Zhi-Yi Lv
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Song Dong
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Ben-Yuan Jiang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Xiang Liu
- Echo Biotech Co, Ltd, Beijing, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
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17
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Koike H, Ashizawa K, Tsutsui S, Kurohama H, Okano S, Nagayasu T, Kido S, Uetani M, Toya R. Differentiation Between Heterogeneous GGN and Part-Solid Nodule Using 2 D Grayscale Histogram Analysis of Thin-Section CT Image. Clin Lung Cancer 2023; 24:541-550. [PMID: 37407293 DOI: 10.1016/j.cllc.2023.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/07/2023] [Accepted: 06/08/2023] [Indexed: 07/07/2023]
Abstract
INTRODUCTION/BACKGROUND To evaluate cases of surgically resected pulmonary adenocarcinoma (Ad) with heterogenous ground-glass nodules (HGGNs) or part-solid nodules (PSNs) and to clarify the differences between them, and between invasive adenocarcinoma (IVA) and minimally invasive adenocarcinoma (MIA) + adenocarcinoma in situ (AIS) using grayscale histogram analysis of thin-section computed tomography (TSCT). MATERIALS AND METHODS 241 patients with pulmonary Ad were retrospectively classified into HGGNs and PSNs on TSCT by three thoracic radiologists. Sixty HGGNs were classified into 17 IVAs, 26 MIAs, and 17 AISs. 181 PSNs were classified into 114 IVAs, 55 MIAs, and 12 AISs. RESULTS We found significant differences in area (P = 0.0024), relative size of solid component (P <0.0001), circumference (P <0.0001), mean CT value (P <0.0001), standard deviation of the CT value (P <0.0001), maximum CT value (P <0.0001), skewness (P <0.0001), kurtosis (P <0.0001), and entropy (P <0.0001) between HGGNs and PSNs. In HGGNs, we found significant differences in relative size of solid component (P <0.0001), mean CT value (P = 0.0005), standard deviation of CT value (P = 0.0071), maximum CT value (P = 0.0237), and skewness (P = 0.0027) between IVAs and MIA+AIS lesions. In PSNs, we found significant differences in area (P = 0.0029), relative size of solid component (P = 0.0003), circumference (P = 0.0004), mean CT value (P = 0.0011), skewness (P = 0.0009), and entropy (P = 0.0002) between IVAs and the MIA+AIS lesions. CONCLUSION Quantitative evaluations using grayscale histogram analysis can clearly distinguish between HGGNs and PSNs, and may be useful for estimating the pathology of such lesions.
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Affiliation(s)
- Hirofumi Koike
- Departments of Radiology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Kazuto Ashizawa
- Departments of Clinical Oncology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
| | - Shin Tsutsui
- Departments of Radiology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Hirokazu Kurohama
- Department of Pathology, Nagasaki University Hospital, Nagasaki, Japan
| | - Shinji Okano
- Department of Pathology, Nagasaki University Hospital, Nagasaki, Japan
| | - Takeshi Nagayasu
- Departments of Surgical Oncology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Shoji Kido
- Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Masataka Uetani
- Departments of Radiology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Ryo Toya
- Departments of Radiology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
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18
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Affiliation(s)
- Fangqiu Fu
- Department of Thoracic Surgery and State key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zongwei Chen
- Institute of Thoracic Oncology, Fudan University, Shanghai, China
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Haiquan Chen
- Department of Thoracic Surgery and State key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China.
- Institute of Thoracic Oncology, Fudan University, Shanghai, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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19
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Huang W, Deng H, Li Z, Xiong Z, Zhou T, Ge Y, Zhang J, Jing W, Geng Y, Wang X, Tu W, Dong P, Liu S, Fan L. Baseline whole-lung CT features deriving from deep learning and radiomics: prediction of benign and malignant pulmonary ground-glass nodules. Front Oncol 2023; 13:1255007. [PMID: 37664069 PMCID: PMC10470826 DOI: 10.3389/fonc.2023.1255007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 07/28/2023] [Indexed: 09/05/2023] Open
Abstract
Objective To develop and validate the model for predicting benign and malignant ground-glass nodules (GGNs) based on the whole-lung baseline CT features deriving from deep learning and radiomics. Methods This retrospective study included 385 GGNs from 3 hospitals, confirmed by pathology. We used 239 GGNs from Hospital 1 as the training and internal validation set; 115 and 31 GGNs from Hospital 2 and Hospital 3 as the external test sets 1 and 2, respectively. An additional 32 stable GGNs from Hospital 3 with more than five years of follow-up were used as the external test set 3. We evaluated clinical and morphological features of GGNs at baseline chest CT and extracted the whole-lung radiomics features simultaneously. Besides, baseline whole-lung CT image features are further assisted and extracted using the convolutional neural network. We used the back-propagation neural network to construct five prediction models based on different collocations of the features used for training. The area under the receiver operator characteristic curve (AUC) was used to compare the prediction performance among the five models. The Delong test was used to compare the differences in AUC between models pairwise. Results The model integrated clinical-morphological features, whole-lung radiomic features, and whole-lung image features (CMRI) performed best among the five models, and achieved the highest AUC in the internal validation set, external test set 1, and external test set 2, which were 0.886 (95% CI: 0.841-0.921), 0.830 (95%CI: 0.749-0.893) and 0.879 (95%CI: 0.712-0.968), respectively. In the above three sets, the differences in AUC between the CMRI model and other models were significant (all P < 0.05). Moreover, the accuracy of the CMRI model in the external test set 3 was 96.88%. Conclusion The baseline whole-lung CT features were feasible to predict the benign and malignant of GGNs, which is helpful for more refined management of GGNs.
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Affiliation(s)
- Wenjun Huang
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, China
- School of Medical Imaging, Weifang Medical University, Weifang, Shandong, China
- Department of Radiology, The Second People’s hospital of Deyang, Deyang, Sichuan, China
| | - Heng Deng
- School of Medicine, Shanghai University, Shanghai, China
| | - Zhaobin Li
- Department of Radiation Oncology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Zhanda Xiong
- Department of Artificial Intelligence Medical Imaging, Tron Technology, Shanghai, China
| | - Taohu Zhou
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, China
- School of Medical Imaging, Weifang Medical University, Weifang, Shandong, China
| | - Yanming Ge
- School of Medical Imaging, Weifang Medical University, Weifang, Shandong, China
- Medical Imaging Center, Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China
| | - Jing Zhang
- Department of Radiology, The Second People’s hospital of Deyang, Deyang, Sichuan, China
| | - Wenbin Jing
- Department of Radiology, The Second People’s hospital of Deyang, Deyang, Sichuan, China
| | - Yayuan Geng
- Clinical Research Institute, Shukun (Beijing) Technology Co., Ltd., Beijing, China
| | - Xiang Wang
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Wenting Tu
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Peng Dong
- School of Medical Imaging, Weifang Medical University, Weifang, Shandong, China
| | - Shiyuan Liu
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Li Fan
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, China
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20
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Liu YC, Liang CH, Wu YJ, Chen CS, Tang EK, Wu FZ. Managing Persistent Subsolid Nodules in Lung Cancer: Education, Decision Making, and Impact of Interval Growth Patterns. Diagnostics (Basel) 2023; 13:2674. [PMID: 37627933 PMCID: PMC10453827 DOI: 10.3390/diagnostics13162674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
With the popularization of lung cancer screening, many persistent subsolid nodules (SSNs) have been identified clinically, especially in Asian non-smokers. However, many studies have found that SSNs exhibit heterogeneous growth trends during long-term follow ups. This article adopted a narrative approach to extensively review the available literature on the topic to explore the definitions, rationale, and clinical application of different interval growths of subsolid pulmonary nodule management and follow-up strategies. The development of SSN growth thresholds with different growth patterns could support clinical decision making with follow-up guidelines to reduce over- and delayed diagnoses. In conclusion, using different SSN growth thresholds could optimize the follow-up management and clinical decision making of SSNs in lung cancer screening programs. This could further reduce the lung cancer mortality rate and potential harm from overdiagnosis and over management.
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Affiliation(s)
- Yung-Chi Liu
- Department of Radiology, Xiamen Chang Gung Hospital, Xiamen 361028, China;
- Department of Imaging Technology Division, Xiamen Chang Gung Hospital, Xiamen 361028, China
- Department of Healthcare Administration Department, Xiamen Chang Gung Hospital, Xiamen 361028, China
| | - Chia-Hao Liang
- Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei 112304, Taiwan;
| | - Yun-Ju Wu
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung 81362, Taiwan;
- Department of Software Engineering and Management, National Kaohsiung Normal University, Kaohsiung 80201, Taiwan
| | - Chi-Shen Chen
- Physical Examination Center, Kaohsiung Veterans General Hospital, Kaohsiung 81362, Taiwan;
| | - En-Kuei Tang
- Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung 813414, Taiwan;
| | - Fu-Zong Wu
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung 81362, Taiwan;
- School of Medicine, College of Medicine, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan
- Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
- Institute of Education, National Sun Yat-Sen University, Kaohsiung 804241, Taiwan
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21
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Zanardo AP, Brentano VB, Grando RD, Rambo RR, Hertz FT, Anflor Junior LC, Prietto Dos Santos JF, Galvao GS, Andrade CF. Retrospective Analysis of Subsolid Nodules' Frequency Using Chest Computed Tomography Detection in an Outpatient Population. Tomography 2023; 9:1494-1503. [PMID: 37624112 PMCID: PMC10458562 DOI: 10.3390/tomography9040119] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 07/31/2023] [Accepted: 08/07/2023] [Indexed: 08/26/2023] Open
Abstract
INTRODUCTION The study was designed to evaluate the frequency of detection and the characteristics of subsolid nodules (SSNs) in outpatients' chest computed tomography (CT) scans from a private hospital in Southern Brazil. METHODS A retrospective analysis of all chest CT scans was performed in adult patients from ambulatory care (non-lung cancer screening population) over a thirty-day period. Inclusion criteria were age > 18 years and lung-scanning protocols, including standard-dose high-resolution chest CT (HRCT), enhanced CT, CT angiography, and low-dose chest CT (LDCT). SSNs main features collected were mean diameter, number, density (pure or heterogenous ground glass nodules and part-solid), and localization. TheLungRADS system and the updated Fleischner Society's pulmonary nodules recommendations were used for categorization only for study purposes, although not specifically fitting the population. The presence of emphysema, as well as calcified and solid nodules were also addressed. Statistical analysis was performed using R software, categorial variables are shown as absolute or relative frequencies, and continuous variables as mean and interquartile ranges. RESULTS Chest computed tomography were performed in 756 patients during the study period (September 2019), and 650 met the inclusion criteria. The IQR for age was 53/73 years; most participants were female (58.3%) and 10.6% had subsolid nodules detected. CONCLUSIONS The frequency of SSNs detection in patients in daily clinical practice, not related to screening populations, is not negligible. Regardless of the final etiology, follow-up is often indicated, given the likelihood of malignancy for persistent lesions.
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Affiliation(s)
- Ana Paula Zanardo
- Hospital Moinhos de Vento, Porto Alegre 90560-030, Brazil; (V.B.B.); (R.D.G.); (R.R.R.); (F.T.H.); (L.C.A.J.); (J.F.P.D.S.); (G.S.G.)
- Postgraduate Course in Pulmonology Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Brazil;
| | - Vicente Bohrer Brentano
- Hospital Moinhos de Vento, Porto Alegre 90560-030, Brazil; (V.B.B.); (R.D.G.); (R.R.R.); (F.T.H.); (L.C.A.J.); (J.F.P.D.S.); (G.S.G.)
| | - Rafael Domingos Grando
- Hospital Moinhos de Vento, Porto Alegre 90560-030, Brazil; (V.B.B.); (R.D.G.); (R.R.R.); (F.T.H.); (L.C.A.J.); (J.F.P.D.S.); (G.S.G.)
- Postgraduate Course in Pulmonology Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Brazil;
| | - Rafael Ramos Rambo
- Hospital Moinhos de Vento, Porto Alegre 90560-030, Brazil; (V.B.B.); (R.D.G.); (R.R.R.); (F.T.H.); (L.C.A.J.); (J.F.P.D.S.); (G.S.G.)
- Postgraduate Course in Pulmonology Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Brazil;
| | - Felipe Teixeira Hertz
- Hospital Moinhos de Vento, Porto Alegre 90560-030, Brazil; (V.B.B.); (R.D.G.); (R.R.R.); (F.T.H.); (L.C.A.J.); (J.F.P.D.S.); (G.S.G.)
| | - Luis Carlos Anflor Junior
- Hospital Moinhos de Vento, Porto Alegre 90560-030, Brazil; (V.B.B.); (R.D.G.); (R.R.R.); (F.T.H.); (L.C.A.J.); (J.F.P.D.S.); (G.S.G.)
| | - Jonatas Favero Prietto Dos Santos
- Hospital Moinhos de Vento, Porto Alegre 90560-030, Brazil; (V.B.B.); (R.D.G.); (R.R.R.); (F.T.H.); (L.C.A.J.); (J.F.P.D.S.); (G.S.G.)
- Postgraduate Course in Pulmonology Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Brazil;
| | - Gabriela Schneider Galvao
- Hospital Moinhos de Vento, Porto Alegre 90560-030, Brazil; (V.B.B.); (R.D.G.); (R.R.R.); (F.T.H.); (L.C.A.J.); (J.F.P.D.S.); (G.S.G.)
- Postgraduate Course in Pulmonology Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Brazil;
| | - Cristiano Feijo Andrade
- Postgraduate Course in Pulmonology Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Brazil;
- Hospital de Clínicas de Porto Alegre, Porto Alegre 90035-903, Brazil
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22
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Yang X, Jin Y, Lin Z, Li X, Huang G, Ni Y, Li W, Han X, Meng M, Chen J, Lin Q, Bie Z, Wang C, Li Y, Ye X. Microwave ablation for the treatment of peripheral ground-glass nodule-like lung cancer: Long-term results from a multi-center study. J Cancer Res Ther 2023; 19:1001-1010. [PMID: 37675729 DOI: 10.4103/jcrt.jcrt_1436_23] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
Introduction Microwave ablation (MWA) is an effective and safe approach for the treatment of ground-glass nodule (GGN)-like lung cancer, but long-term follow-up is warranted. Therefore, this multi-center retrospective study aimed to evaluate the results of MWA for the treatment of peripheral GGN-like lung cancer with a long-term follow-up. Materials and Methods From June 2013 to January 2018, a total of 87 patients (47 males and 40 females, mean age 64.6 ± 10.2 years) with 87 peripheral lung cancer lesions showing GGN (mean long axis diameter, 17 ± 5 mm) underwent computed tomography (CT)-guided percutaneous MWA. All GGN-like lung cancers were histologically verified. The primary endpoints were local progression-free survival (LPFS) and overall survival (OS). The secondary endpoints were cancer-specific survival (CSS) and complications. Results During a median follow-up of 65 months, both the 3-year and 5-year LPFS rates were 96.6% and 96.6%. The OS rate was 94.3% at 3 years and 84.9% at 5 years, whereas the 3-year and 5-year CSS rates were 100% and 100%, respectively. No periprocedural deaths were observed. Complications were observed in 49 patients (51.6%). Grade 3 or higher complications included pneumothorax, pleural effusion, hemorrhage, and pulmonary infection, which were identified in ten (10.5%), two (2.1%), two (2.1%), and one (1.1%) patient, respectively. Conclusions CT-guided percutaneous MWA is an effective, safe, and potentially curative treatment regimen for GGN-like lung cancer.
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Affiliation(s)
- Xia Yang
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yong Jin
- Department of Interventional Therapy, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Zhengyu Lin
- Department of Interventional, Therapy, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
| | - Xiaoguang Li
- Minimally Invasive Tumor Therapies Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Guanghui Huang
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yang Ni
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Wenhong Li
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Xiaoying Han
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Min Meng
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Jin Chen
- Department of Interventional, Therapy, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
| | - Qingfeng Lin
- Department of Interventional, Therapy, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
| | - Zhixin Bie
- Minimally Invasive Tumor Therapies Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Chuntang Wang
- Department of Thoracic Surgery, Dezhou Second People's Hospital, Dezhou, Shandong, China
| | - Yuliang Li
- Department of Interventional Medicine, The Second Hospital of Shandong University, Jinan, China
| | - Xin Ye
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Lung Cancer Institute, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Jinan, China
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23
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Lee K, Liu Z, Chandran U, Kalsekar I, Laxmanan B, Higashi MK, Jun T, Ma M, Li M, Mai Y, Gilman C, Wang T, Ai L, Aggarwal P, Pan Q, Oh W, Stolovitzky G, Schadt E, Wang X. Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning-Based Natural Language Processing. JMIR AI 2023; 2:e44537. [PMID: 38875565 PMCID: PMC11041451 DOI: 10.2196/44537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 01/30/2023] [Accepted: 03/31/2023] [Indexed: 06/16/2024]
Abstract
BACKGROUND Ground-glass opacities (GGOs) appearing in computed tomography (CT) scans may indicate potential lung malignancy. Proper management of GGOs based on their features can prevent the development of lung cancer. Electronic health records are rich sources of information on GGO nodules and their granular features, but most of the valuable information is embedded in unstructured clinical notes. OBJECTIVE We aimed to develop, test, and validate a deep learning-based natural language processing (NLP) tool that automatically extracts GGO features to inform the longitudinal trajectory of GGO status from large-scale radiology notes. METHODS We developed a bidirectional long short-term memory with a conditional random field-based deep-learning NLP pipeline to extract GGO and granular features of GGO retrospectively from radiology notes of 13,216 lung cancer patients. We evaluated the pipeline with quality assessments and analyzed cohort characterization of the distribution of nodule features longitudinally to assess changes in size and solidity over time. RESULTS Our NLP pipeline built on the GGO ontology we developed achieved between 95% and 100% precision, 89% and 100% recall, and 92% and 100% F1-scores on different GGO features. We deployed this GGO NLP model to extract and structure comprehensive characteristics of GGOs from 29,496 radiology notes of 4521 lung cancer patients. Longitudinal analysis revealed that size increased in 16.8% (240/1424) of patients, decreased in 14.6% (208/1424), and remained unchanged in 68.5% (976/1424) in their last note compared to the first note. Among 1127 patients who had longitudinal radiology notes of GGO status, 815 (72.3%) were reported to have stable status, and 259 (23%) had increased/progressed status in the subsequent notes. CONCLUSIONS Our deep learning-based NLP pipeline can automatically extract granular GGO features at scale from electronic health records when this information is documented in radiology notes and help inform the natural history of GGO. This will open the way for a new paradigm in lung cancer prevention and early detection.
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Affiliation(s)
| | | | - Urmila Chandran
- Lung Cancer Initiative, Johnson & Johnson, New Brunswick, NJ, United States
| | - Iftekhar Kalsekar
- Lung Cancer Initiative, Johnson & Johnson, New Brunswick, NJ, United States
| | - Balaji Laxmanan
- Lung Cancer Initiative, Johnson & Johnson, New Brunswick, NJ, United States
| | | | - Tomi Jun
- Sema4, Stamford, CT, United States
| | - Meng Ma
- Sema4, Stamford, CT, United States
| | | | - Yun Mai
- Sema4, Stamford, CT, United States
| | | | | | - Lei Ai
- Sema4, Stamford, CT, United States
| | | | - Qi Pan
- Sema4, Stamford, CT, United States
| | - William Oh
- Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | | | - Eric Schadt
- Icahn School of Medicine at Mount Sinai, New York, NY, United States
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24
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Okubo Y, Yatabe Y. Reply to the Letter to the Editor From He Y et al. J Thorac Oncol 2023; 18:e46-e48. [PMID: 37087120 DOI: 10.1016/j.jtho.2023.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 02/07/2023] [Indexed: 04/24/2023]
Affiliation(s)
- Yu Okubo
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
| | - Yasushi Yatabe
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan.
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25
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Ji XY, Li H, Chen HH, Lin J. Diagnostic performance of RASSF1A and SHOX2 methylation combined with EGFR mutations for differentiation between small pulmonary nodules. J Cancer Res Clin Oncol 2023:10.1007/s00432-023-04745-8. [PMID: 37097393 DOI: 10.1007/s00432-023-04745-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Accepted: 04/03/2023] [Indexed: 04/26/2023]
Abstract
BACKGROUND AND AIM Aberrant methylation of Ras association domain family 1, isoform A (RASSF1A), and short-stature homeobox gene 2 (SHOX2) promoters has been validated as a pair of valuable biomarkers for diagnosing early lung adenocarcinomas (LUADs). Epidermal growth factor receptor (EGFR) is the key driver mutation in lung carcinogenesis. This study aimed to investigate the aberrant promoter methylation of RASSF1A and SHOX2, and the genetic mutation of EGFR in 258 specimens of early LUADs. METHODS We retrospectively selected 258 paraffin-embedded samples of pulmonary nodules measuring 2 cm or less in diameter and evaluated the diagnostic performance of individual biomarker assays and multiple panels between noninvasive (group 1) and invasive lesions (groups 2A and 2B). Then, we investigated the interaction between genetic and epigenetic alterations. RESULTS The degree of RASSF1A and SHOX2 promoter methylation and EGFR mutation was significantly higher in invasive lesions than in noninvasive lesions. The three biomarkers distinguished between noninvasive and invasive lesions with reliable sensitivity and specificity: 60.9% sensitivity [95% confidence interval (CI) 52.41-68.78] and 80.0% specificity (95% CI 72.14-86.07). The novel panel biomarkers could further discriminate among three invasive pathological subtypes (area under the curve value > 0.6). The distribution of RASSF1A methylation and EGFR mutation was considerably exclusive in early LUAD (P = 0.002). CONCLUSION DNA methylation of RASSF1A and SHOX2 is a pair of promising biomarkers, which may be used in combination with other driver alterations, such as EGFR mutation, to support the differential diagnosis of LUADs, especially for stage I.
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Affiliation(s)
- Xiang-Yu Ji
- Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, People's Republic of China
| | - Hong Li
- Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Hui-Hui Chen
- Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Jie Lin
- Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, People's Republic of China.
- National Virtual and Reality Experimental Education Center for Medical Morphology, Southern Medical University, Guangzhou, People's Republic of China.
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26
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Zhang J, Tang K, Liu L, Guo C, Zhao K, Li S. Management of pulmonary nodules in women with pregnant intention: A review with perspective. Ann Thorac Med 2023; 18:61-69. [PMID: 37323371 PMCID: PMC10263075 DOI: 10.4103/atm.atm_270_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 09/04/2022] [Accepted: 09/13/2022] [Indexed: 06/17/2023] Open
Abstract
The process for the management of pulmonary nodules in women with pregnant intention remains a challenge. There was a certain proportion of targeted female patients with high-risk lung cancer, and anxiety for suspicious lung cancer in early stage also exists. A comprehensive review of hereditary of lung cancer, effects of sexual hormone on lung cancer, natural history of pulmonary nodules, and computed tomography imaging with radiation exposure based on PubMed search was completed. The heredity of lung cancer and effects of sexual hormone on lung cancer are not the decisive factors, and the natural history of pulmonary nodules and the radiation exposure of imaging should be the main concerns. The management of incidental pulmonary nodules in young women with pregnant intention is an intricate and indecisive problem we have to encounter. The balance between the natural history of pulmonary nodules and the radiation exposure of imaging should be weighed.
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Affiliation(s)
- Jiaqi Zhang
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kun Tang
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China
- Institute of Respiratory Disease of Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Lei Liu
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chao Guo
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ke Zhao
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shanqing Li
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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27
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Zhang Z, Zhou L, Min X, Li H, Qi Q, Sun C, Sun K, Yang F, Li X. Long-term follow-up of persistent pulmonary subsolid nodules: Natural course of pure, heterogeneous, and real part-solid ground-glass nodules. Thorac Cancer 2023; 14:1059-1070. [PMID: 36922372 PMCID: PMC10125786 DOI: 10.1111/1759-7714.14845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 02/21/2023] [Accepted: 02/22/2023] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND Previous studies have suggested the applicability of three classifications of subsolid nodules (SSNs). However, few studies have unraveled the natural history of the three types of SSNs. METHODS A retrospective study from two medical centers between November 2007 and November 2017 was conducted to explore the long-term follow-up results of three different types of SSNs, which were divided into pure ground-glass nodules (pGGNs), heterogeneous ground-glass nodules (hGGNs), and real part-solid nodules (rPSNs). RESULTS A total of 306 consecutive patients, including 361 SSNs with long-term follow-up, were reviewed. The median growth times of pGGNs, hGGNs, and rPSNs were 7.7, 6.0, and 2.0 years, respectively. For pGGNs, the median period of development into rPSNs was 4.6 years, while that of hGGNs was 1.8 years, and the time from pGGNs to hGGNs was 3.1 years (p < 0.05). In SSNs with an initial lung window consolidation tumor ratio (LW-CTR) >0.5 and mediastinum window (MW)-CTR >0.2, all cases with growth were identified within 5 years. Meanwhile, in SSNs whose LW-CTR and MW-CTR were 0, it took over 5 years to detect nodular growth. Pathologically, 90.6% of initial SSNs with LW-CTR >0 were invasive carcinomas (invasive adenocarcinoma and micro-invasive adenocarcinoma). Among patients with rPSNs in the initial state, 100.0% of the final pathological results were invasive carcinoma. Cox regression showed that age (p = 0.038), initial maximal diameter (p < 0.001), and LW-CTR (p = 0.002) were independent risk factors for SSN growth. CONCLUSIONS pGGNs, hGGNs, and rPSNs have significantly different natural histories. Age, initial nodule diameter, and LW-CTR are important risk factors for SSN growth.
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Affiliation(s)
- Zhedong Zhang
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, People's Republic of China.,Thoracic Oncology Institute, Peking University People's Hospital, Beijing, China
| | - Lixin Zhou
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, People's Republic of China.,Thoracic Oncology Institute, Peking University People's Hospital, Beijing, China
| | - Xianjun Min
- Department of Thoracic Surgery, AMHT Group Aerospace 731 Hospital, Beijing, People's Republic of China
| | - Hao Li
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, People's Republic of China.,Thoracic Oncology Institute, Peking University People's Hospital, Beijing, China
| | - Qingyi Qi
- Department of Radiology, Peking University People's Hospital, Beijing, China
| | - Chao Sun
- Department of Radiology, Peking University People's Hospital, Beijing, China
| | - Kunkun Sun
- Department of Pathology, Peking University People's Hospital, Beijing, China
| | - Fan Yang
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, People's Republic of China.,Thoracic Oncology Institute, Peking University People's Hospital, Beijing, China
| | - Xiao Li
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, People's Republic of China.,Thoracic Oncology Institute, Peking University People's Hospital, Beijing, China
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28
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Abstract
Pulmonary nodules are a common finding on CT scans of the chest. In the United Kingdom, management should follow British Thoracic Society Guidelines, which were published in 2015. This review covers key aspects of nodule management also looks at new and emerging evidence since then.
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Affiliation(s)
- Emma L O’Dowd
- Department of Respiratory Medicine, David Evans Building, Nottingham City Hospital, Nottingham, United Kingdom
| | - David R Baldwin
- Department of Respiratory Medicine, David Evans Building, Nottingham City Hospital, Nottingham, United Kingdom
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29
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Xiao R, Ma Y, Li H, Li X, Sun Z, Qi Q, Yin P, Yang F, Qiu M. Lung adenocarcinoma manifesting as subsolid nodule potentially represents tumour in the equilibrium phase of immunoediting. Immunology 2023; 168:290-301. [PMID: 35503794 DOI: 10.1111/imm.13489] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 04/09/2022] [Indexed: 01/17/2023] Open
Abstract
Lung adenocarcinomas manifesting as subsolid nodules (SSN-LUADs) possess distinct dormant behaviour. This study was designed to compare the immune landscapes of normal lungs (nLungs), SSN-LUADs and LUADs manifesting as solid nodules (SN-LUADs) so as to better understand the status of anti-tumour immunity in SSN-LUADs. Mass cytometry by time-of-flight analysis was performed on 299, 570 single cells from nLung, SSN-LUAD and SN-LUAD tissues. The immune cells were identified by phenotype, and the percentages of different immune cell subclusters were compared between SSN-LUADs, SN-LUADs and nLungs. Elevated percentage of CD8+ T cells were identified in SSN-LUADs compared with in nLungs and SN-LUADs. Elevated CD56bright NK cells and decreased CD56dim NK cells were identified in both SSN-LUADs and SN-LUADs compared with in nLungs. The immune landscape of SSN-LUAD fits the theory of equilibrium phase of immunoediting, thus functional adaptive anti-tumour immunity but impaired innate anti-tumour immunity potentially contributes to the maintaining of its dormant behaviour.
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Affiliation(s)
- Rongxin Xiao
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Yi Ma
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Hao Li
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Xiao Li
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Zewen Sun
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Qingyi Qi
- Department of Radiology, Peking University People's Hospital, Beijing, China
| | - Ping Yin
- Department of Radiology, Peking University People's Hospital, Beijing, China
| | - Fan Yang
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Mantang Qiu
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
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30
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Udelsman BV, Blasberg JD. Using the robotic platform in the therapy of multifocal ground glass opacities. J Surg Oncol 2023; 127:262-268. [PMID: 36465021 DOI: 10.1002/jso.27154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 11/05/2022] [Accepted: 11/11/2022] [Indexed: 12/07/2022]
Abstract
Due to their association with invasive adenocarcinoma, ground glass opacities that reach 3 cm in size, develop a solid component ≥2 mm on mediastinal windows, or exhibit ≥25% annual growth warrant operative resection. Minimally invasive techniques are preferred given that approximately one third of patients will present with multifocal focal disease and may require additional operations. A robotic-assisted thoracoscopic surgical approach can be used with percutaneous or bronchoscopic localization techniques and are compatible with developing intraoperative molecular targeting techniques.
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Affiliation(s)
- Brooks V Udelsman
- Division of Thoracic Surgery, Yale-New Haven Hospital, New Haven, Connecticut, USA.,Yale University School of Medicine, New Haven, Connecticut, USA
| | - Justin D Blasberg
- Division of Thoracic Surgery, Yale-New Haven Hospital, New Haven, Connecticut, USA.,Yale University School of Medicine, New Haven, Connecticut, USA
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31
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He Y, Xiong Z, Tian D, Zhang J, Chen J, Li Z. Natural progression of persistent pure ground-glass nodules 10 mm or smaller: long-term observation and risk factor assessment. Jpn J Radiol 2023; 41:605-616. [PMID: 36607551 DOI: 10.1007/s11604-022-01382-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 12/26/2022] [Indexed: 01/07/2023]
Abstract
PURPOSE Semi-automatic segmentation was used to investigate the natural progression of pure ground-glass nodules (pGGNs) of 5-10 mm in long-term follow-up and to analyze independent risk factors for subsequent growth. MATERIALS AND METHODS A total of 154 pGGNs of 5-10 mm from 132 patients with 698 follow-up CT scans were retrospectively identified. Subsequently, enrolled pGGNs were semiautomatically segmented on initial and follow-up CT to obtain diameter, density and volume, thus calculating mass, volume doubling time (VDT), and mass doubling time (MDT). Kaplan‒Meier analysis and multivariate Cox proportional risk regression were performed to explore independent predictors of pGGN growth. We analyzed growth differences among different pathological results of pGGNs confirmed by surgery. The prognosis was analyzed using the total diameter or solid size of the nodules on the last preoperative CT. RESULTS Among the 85 (55.2%) pGGNs with growth, 5.9%, 51.8%, and 80.0% showed growth within 1, 3, and 5 years, respectively. The median VDT and MDT were 1206.4 (range 349.8-5134.4) days and 1161.3 (range 339.4-6630.4) days, respectively. The multivariate Cox risk regression analysis showed that mean CT attenuation (m-CTA) [hazard ratio (HR) = 2.098, p = 0.010] and roundness index (HR = 1.892, p = 0.021) were independent risk factors for pGGN growth. In total, 67.6% of surgically resected and growing pGGNs were invasive non-mucinous adenocarcinoma (IA), including 2 cases of endpoint events, showing a PSN with solid components of 5.6 mm and a solid nodule with a diameter of 19.9 mm. CONCLUSIONS pGGNs of 5-10 mm showed an indolent clinical course. Follow-up CT imaging of pGGNs in the latter half of the first two years should be a rational management strategy. Small pGGNs with a larger overall m-CTA and roundness index on baseline CT are more likely to grow.
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Affiliation(s)
- Yifan He
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Zhongshan, Xigang District, Dalian, 116011, China
| | - Ziqi Xiong
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Zhongshan, Xigang District, Dalian, 116011, China
| | - Di Tian
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Zhongshan, Xigang District, Dalian, 116011, China
| | - Jingyu Zhang
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Zhongshan, Xigang District, Dalian, 116011, China
| | - Jianzhou Chen
- Shanghai United Imaging Intelligence, Co., Ltd., Shanghai, China
| | - Zhiyong Li
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Zhongshan, Xigang District, Dalian, 116011, China.
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32
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Koike H, Ashizawa K, Tsutsui S, Fukuda M, Okano S, Matsumoto K, Nagayasu T, Honda S, Uetani M. Surgically resected lung adenocarcinoma: do heterogeneous GGNs and part-solid nodules on thin-section CT show different prognosis? Jpn J Radiol 2023; 41:164-171. [PMID: 36219310 PMCID: PMC9889431 DOI: 10.1007/s11604-022-01345-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 09/27/2022] [Indexed: 02/04/2023]
Abstract
PURPOSE This study aimed to evaluate the clinical courses of patients with surgically resected stage IA pulmonary adenocarcinoma (Ad) who exhibited heterogeneous ground-glass nodules (GGNs) or part-solid nodules on thin-section computed tomography (TSCT) and to clarify the prognostic differences between them. MATERIALS AND METHODS The cases of 242 patients with proven pulmonary Ad with heterogeneous GGN or part-solid nodule who underwent surgical resection were retrospectively reviewed. After surgery, they were examined pathologically. Disease-free survival (DFS) and overall survival (OS) were also investigated. RESULTS There were no cases of recurrent pulmonary Ad or death from the primary disease in the heterogeneous GGN group. In the part-solid nodule group, recurrent pulmonary Ad and death from the primary disease were observed in 12 and 6 of 181 patients, respectively. Heterogeneous GGNs were associated with significantly longer DFS than part-solid nodules (p = 0.042). While, there was no significant difference in OS between the two groups (p = 0.134). Pathological diagnoses were available for all 242 patients. 181 part-solid nodules were classified into 116 invasive Ads, 54 minimally invasive Ads (MIAs), and 11 Ad in situ (AIS) lesions, and 61 heterogeneous GGNs were classified into 18 invasive Ads, 25 MIAs, and 18 AIS lesions. CONCLUSION Heterogeneous GGNs were significantly associated with longer DFS than part-solid nodules. Pathologically, there were significant differences between the heterogeneous GGNs and part-solid nodules.
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Affiliation(s)
- Hirofumi Koike
- Departments of Radiology, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki, 852-8501 Japan
| | - Kazuto Ashizawa
- Clinical Oncology, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki, 852-8501 Japan
| | - Shin Tsutsui
- Departments of Radiology, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki, 852-8501 Japan
| | - Minoru Fukuda
- Clinical Oncology Center, Nagasaki University Hospital, 1-7-1 Sakamoto, Nagasaki, 852-8501 Japan
| | - Shinji Okano
- Depatment of Pathology, Nagasaki University Hospital, 1-7-1 Sakamoto, Nagasaki, 852-8501 Japan
| | - Keitaro Matsumoto
- Surgical Oncology, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki, 852-8501 Japan
| | - Takeshi Nagayasu
- Surgical Oncology, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki, 852-8501 Japan
| | - Sumihisa Honda
- Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nursing, Nagasaki, 852-8501 Japan
| | - Masataka Uetani
- Departments of Radiology, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki, 852-8501 Japan
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33
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Rong F, Shi R, Hu L, Chen R, Wang D, Lv X, Zhao Y, Huang W, Yang Y, Zhou H, Hong K. Low-dose computed tomography for lung cancer screening in Anhui, China: A randomized controlled trial. Front Oncol 2022; 12:1059999. [PMID: 36591449 PMCID: PMC9795014 DOI: 10.3389/fonc.2022.1059999] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Accepted: 11/30/2022] [Indexed: 12/15/2022] Open
Abstract
Background Lung cancer is the leading cause of cancer-related death worldwide, with risk factors such as age and smoking. Low-dose computed tomography screening can reduce lung cancer mortality. However, its effectiveness in Asian populations remains unclear. Most Asian women with lung cancer are non-smokers who have not been screened. We conducted a randomized controlled trial to evaluate the performance of low-dose computed tomography screening in a Chinese population, including high-risk smokers and non-smokers exposed to passive smoking. The baseline data are reported in this study. Methods Between May and December 2019, eligible participants were randomized in a ratio of 1:1:1 to a screening (two arms) or control cohort. Non-calcified nodules/masses with a diameter >4 mm on low-dose computed tomography were considered positive findings. Results In total, 600 patients (mean age, 59.1 ± 6.9 years) underwent low-dose computed tomography. Women accounted for 31.5% (189/600) of patients; 89.9% (170/189) were non-smokers/passive smokers. At baseline, the incidence of lung cancer was 1.8% (11/600). The incidence of lung cancer was significantly lower in smokers than in female non-smokers/passive smokers (1.0% [4/415] vs. 4.1% [7/170], respectively; P=0.017). Stage 0-I lung cancer accounted for 90.9% (10/11) of cases. Conclusions We demonstrate the importance of including active smokers and female non-smokers/passive smokers in lung cancer screening programs. Further studies are needed to explore the risk factors, and long-term cost-benefit of screening Asian non-smoking women. Clinical trial registration http://chictr.org.cn/showproj.aspx?proj=39003, identifier ChiCTR1900023197.
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Zhang Z, Zhou L, Yang F, Li X. The natural growth history of persistent pulmonary subsolid nodules: Radiology, genetics, and clinical management. Front Oncol 2022; 12:1011712. [PMID: 36568242 PMCID: PMC9772280 DOI: 10.3389/fonc.2022.1011712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 11/25/2022] [Indexed: 12/12/2022] Open
Abstract
The high detection rate of pulmonary subsolid nodules (SSN) is an increasingly crucial clinical issue due to the increased number of screening tests and the growing popularity of low-dose computed tomography (LDCT). The persistence of SSN strongly suggests the possibility of malignancy. Guidelines have been published over the past few years and guide the optimal management of SSNs, but many remain controversial and confusing for clinicians. Therefore, in-depth research on the natural growth history of persistent pulmonary SSN can help provide evidence-based medical recommendations for nodule management. In this review, we briefly describe the differential diagnosis, growth patterns and rates, genetic characteristics, and factors that influence the growth of persistent SSN. With the advancement of radiomics and artificial intelligence (AI) technology, individualized evaluation of SSN becomes possible. These technologies together with liquid biopsy, will promote the transformation of current diagnosis and follow-up strategies and provide significant progress in the precise management of subsolid nodules in the early stage of lung cancer.
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35
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Nam JG, Goo JM. Evaluation and Management of Indeterminate Pulmonary Nodules on Chest Computed Tomography in Asymptomatic Subjects: The Principles of Nodule Guidelines. Semin Respir Crit Care Med 2022; 43:851-861. [PMID: 35803268 DOI: 10.1055/s-0042-1753474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
With the rapidly increasing number of chest computed tomography (CT) examinations, the question of how to manage lung nodules found in asymptomatic patients has become increasingly important. Several nodule management guidelines have been developed that can be applied to incidentally found lung nodules (the Fleischner Society guideline), nodules found during lung cancer screening (International Early Lung Cancer Action Program protocol [I-ELCAP] and Lung CT Screening Reporting and Data System [Lung-RADS]), or both (American College of Chest Physicians guideline [ACCP], British Thoracic Society guideline [BTS], and National Comprehensive Cancer Network guideline [NCCN]). As the radiologic nodule type (solid, part-solid, and pure ground glass) and size are significant predictors of a nodule's nature, most guidelines categorize nodules in terms of these characteristics. Various methods exist for measuring the size of nodules, and the method recommended in each guideline should be followed. The diameter can be manually measured as a single maximal diameter or as an average of two-dimensional diameters, and software can be used to obtain volumetric measurements. It is important to properly evaluate and measure nodules and familiarize ourselves with the relevant guidelines to appropriately utilize medical resources and minimize unnecessary radiation exposure to patients.
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Affiliation(s)
- Ju G Nam
- Department of Radiology, Seoul National University Hospital and College of Medicine, Seoul, Republic of Korea
| | - Jin Mo Goo
- Department of Radiology, Seoul National University Hospital and College of Medicine, Seoul, Republic of Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.,Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
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36
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[Research Progress in the Effect of Consolidation Tumor Ratio
on the Diagnosis and Treatment of Early-stage Peripheral Lung Cancer]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2022; 25:764-770. [PMID: 36285393 PMCID: PMC9619342 DOI: 10.3779/j.issn.1009-3419.2022.102.40] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Consolidation tumor ratio (CTR) is a hot issue in lung cancer imaging studies in recent years. It is defined as the proportion of the maximum consolidation diameter divided by the maximum tumor diameter in the lung window scanned by high resolution computed tomography (HRCT). Many studies have also confirmed that it can be used as an indicator to identify whether a lung tumor is benign or malignant at the early stage, the main basis on which to decide whether sublobectomy can be performed, and is an independent factor for the recurrence and prognosis of early-stage lung cancer. Especially after tumor size and CTR results of JCOG0804 and JCOG0802 trials in Japan were published, a breakthrough in the treatment method upends the conventional surgical approach, which benefits patients with early-stage lung cancer. But insufficient research data on CTR leads to the fact that an evaluation system to measure CTR is yet to be built. This paper discusses the research progress in CTR prediction of benign or malignancy of pulmonary nodules, how to choose a surgical approach, lymph node dissection, spread through air spaces (STAS) and other hot issues. It also investigates the possible indicators to predict efficacy based on CTR, summarizes and analyzes the development trend of surgical methods to treat early-stage peripheral lung cancer and challenges, to provide new ideas for clinical application.
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37
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Feasibility of Using High-Resolution Computed Tomography Features for Invasiveness Differentiation of Malignant Nodules Manifesting as Ground-Glass Nodules. Can Respir J 2022; 2022:2671772. [PMID: 36299411 PMCID: PMC9592239 DOI: 10.1155/2022/2671772] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 08/25/2022] [Accepted: 09/28/2022] [Indexed: 11/17/2022] Open
Abstract
Ground-glass nodule (GGN)-like adenocarcinoma is a special subtype of lung cancer. The invasiveness of the nodule correlates well with the patient’s prognosis. This study aimed to establish a radiomic model for invasiveness differentiation of malignant nodules manifesting as ground glass on high-resolution computed tomography (HRCT). Between January 2014 and July 2019, 276 pulmonary nodules manifesting as GGNs on preoperative HRCTs, whose histological results were available, were collected. The nodules were randomly classified into training (n = 221) and independent testing (n = 55) cohorts. Three logistic models using features derived from HRCT were fit in the training cohort and validated in both aforementioned cohorts for invasive adenocarcinoma and preinvasive-minimally invasive adenocarcinoma (MIA) differentiation. The model with the best performance was presented as a nomogram and was validated using a calibration curve before performing a decision curve analysis. The benefit of using the proposed model was also shown by groups of management strategies recommended by The Fleischner Society. The combined model showed the best differentiation performance (area under the curve (AUC), training set = 0.89, and testing set = 0.92). The quantitative texture model showed better performance (AUC, training set = 0.87, and testing set = 0.91) than the semantic model (AUC, training set = 0.83, and testing set = 0.79). Of the 94 type 2 nodules that were IACs, 66 were identified by this model. Models using features derived from imaging are effective for differentiating between preinvasive-MIA and IACs among lung adenocarcinomas appearing as GGNs on CT images.
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38
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Han X, Wei Z, Zhao Z, Yang X, Ye X. Cost and effectiveness of microwave ablation versus video-assisted thoracoscopic surgical resection for ground-glass nodule lung adenocarcinoma. Front Oncol 2022; 12:962630. [PMID: 36276106 PMCID: PMC9581221 DOI: 10.3389/fonc.2022.962630] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 09/12/2022] [Indexed: 11/30/2022] Open
Abstract
Purpose To retrospectively evaluate the cost and effectiveness in consecutive patients with ground-glass nodules (GGNs) treated with video-assisted thoracoscopic surgery (VATS; i.e., wedge resection or segmentectomy) or microwave ablation (MWA). Materials and methods From May 2017 to April 2019, 204 patients who met our study inclusion criteria were treated with VATS (n = 103) and MWA (n = 101). We calculated the rate of 3-year overall survival (OS), local progression-free survival (LPFS), and cancer−specific survival (CSS), as well as the cost during hospitalization and the length of hospital stay. Results The rates of 3-year OS, LPFS, and CSS were 100%, 98.9%, and 100%, respectively, in the VATS group and 100%, 100% (p = 0.423), and 100%, respectively, in the MWA group. The median cost of VATS vs. MWA was RMB 54,314.36 vs. RMB 21,464.98 (p < 0.001). The length of hospital stay in the VATS vs. MWA group was 10.0 vs. 6.0 d (p < 0.001). Conclusions MWA had similar rates of 3-year OS, LPFS, and CSS for patients with GGNs and a dramatically lower cost and shorter hospital stay compared with VATS. Based on efficacy and cost, MWA provides an alternative treatment option for patients with GGNs.
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Affiliation(s)
- Xiaoying Han
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Zhigang Wei
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Shandong Lung Cancer Institute, Jinan, China
- Cheeloo College of Medicine, Shandong University, Jinan, China
| | | | - Xia Yang
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- *Correspondence: Xia Yang, ; ; Xin Ye,
| | - Xin Ye
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Shandong Lung Cancer Institute, Jinan, China
- *Correspondence: Xia Yang, ; ; Xin Ye,
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39
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Song Q, Song B, Li X, Wang B, Li Y, Chen W, Wang Z, Wang X, Yu Y, Min X, Ma D. A CT-based nomogram for predicting the risk of adenocarcinomas in patients with subsolid nodule according to the 2021 WHO classification. Cancer Imaging 2022; 22:46. [PMID: 36064495 PMCID: PMC9446567 DOI: 10.1186/s40644-022-00483-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 08/23/2022] [Indexed: 11/10/2022] Open
Abstract
Purpose To establish a nomogram for predicting the risk of adenocarcinomas in patients with subsolid nodules (SSNs) according to the 2021 WHO classification. Methods A total of 656 patients who underwent SSNs resection were retrospectively enrolled. Among them, 407 patients were assigned to the derivation cohort and 249 patients were assigned to the validation cohort. Univariate and multi-variate logistic regression algorithms were utilized to identity independent risk factors of adenocarcinomas. A nomogram based on the risk factors was generated to predict the risk of adenocarcinomas. The discrimination ability of the nomogram was evaluated using the concordance index (C-index), its performance was calibrated using a calibration curve, and its clinical significance was evaluated using decision curves and clinical impact curves. Results Lesion size, mean CT value, vascular change and lobulation were identified as independent risk factors for adenocarcinomas. The C-index of the nomogram was 0.867 (95% CI, 0.833-0.901) in derivation cohort and 0.877 (95% CI, 0.836-0.917) in validation cohort. The calibration curve showed good agreement between the predicted and actual risks. Analysis of the decision curves and clinical impact curves revealed that the nomogram had a high standardized net benefit. Conclusions A nomogram for predicting the risk of adenocarcinomas in patients with SSNs was established in light of the 2021 WHO classification. The developed model can be adopted as a pre-operation tool to improve the surgical management of patients. Supplementary Information The online version contains supplementary material available at 10.1186/s40644-022-00483-1.
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Affiliation(s)
- Qilong Song
- Department of Radiology, Anhui Chest Hospital, Hefei, China.,Clinical College of Chest, Anhui Medical University, Hefei, China
| | - Biao Song
- Department of Radiology, Anhui Chest Hospital, Hefei, China.,Clinical College of Chest, Anhui Medical University, Hefei, China
| | - Xiaohu Li
- Department of Radiology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Bin Wang
- Department of Radiology, Anhui Chest Hospital, Hefei, China
| | - Yuan Li
- Department of Radiology, Anhui Chest Hospital, Hefei, China
| | - Wu Chen
- Department of Radiology, Anhui Chest Hospital, Hefei, China
| | - Zhaohua Wang
- Department of Radiology, Anhui Chest Hospital, Hefei, China
| | - Xu Wang
- Department of Radiology, Anhui Chest Hospital, Hefei, China
| | - Yongqiang Yu
- Department of Radiology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.
| | - Xuhong Min
- Department of Radiology, Anhui Chest Hospital, Hefei, China. .,Clinical College of Chest, Anhui Medical University, Hefei, China.
| | - Dongchun Ma
- Clinical College of Chest, Anhui Medical University, Hefei, China. .,Department of Thoracic Surgery, Anhui Chest Hospital, Hefei, China.
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40
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Ding Y, He C, Zhao X, Xue S, Tang J. Adding predictive and diagnostic values of pulmonary ground-glass nodules on lung cancer via novel non-invasive tests. Front Med (Lausanne) 2022; 9:936595. [PMID: 36059824 PMCID: PMC9433577 DOI: 10.3389/fmed.2022.936595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 07/29/2022] [Indexed: 11/13/2022] Open
Abstract
Pulmonary ground-glass nodules (GGNs) are highly associated with lung cancer. Extensive studies using thin-section high-resolution CT images have been conducted to analyze characteristics of different types of GGNs in order to evaluate and determine the predictive and diagnostic values of GGNs on lung cancer. Accurate prediction of their malignancy and invasiveness is critical for developing individualized therapies and follow-up strategies for a better clinical outcome. Through reviewing the recent 5-year research on the association between pulmonary GGNs and lung cancer, we focused on the radiologic and pathological characteristics of different types of GGNs, pointed out the risk factors associated with malignancy, discussed recent genetic analysis and biomarker studies (including autoantibodies, cell-free miRNAs, cell-free DNA, and DNA methylation) for developing novel diagnostic tools. Based on current progress in this research area, we summarized a process from screening, diagnosis to follow-up of GGNs.
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Affiliation(s)
- Yizong Ding
- Department of Thoracic Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunming He
- Department of Thoracic Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaojing Zhao
- Department of Thoracic Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Song Xue
- Department of Cardiovascular Surgery, Reiji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jian Tang
- Department of Thoracic Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Jian Tang,
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41
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He Y, Yu F, Tian Y, Hu Q, Wang B, Wang L, Hu Y, Tao Y, Chen X, Peng M. Single-Cell RNA Sequencing Unravels Distinct Tumor Microenvironment of Different Components of Lung Adenocarcinoma Featured as Mixed Ground-Glass Opacity. Front Immunol 2022; 13:903513. [PMID: 35874770 PMCID: PMC9299373 DOI: 10.3389/fimmu.2022.903513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 06/01/2022] [Indexed: 11/21/2022] Open
Abstract
Lung adenocarcinoma featured as mixed ground-glass opacity (mGGO) doubled its volume half of the time in comparison with that featured as pure ground-glass opacity (pGGO). The mechanisms underlying the heterogeneous appearance of mGGO remain elusive. In this study, we macro-dissected the solid (S) components and ground-glass (GG) components of mGGO and performed single-cell sequencing analyses of six paired components from three mGGO patients. A total of 19,391 single-cell profiles were taken into analysis, and the data of each patient were analyzed independently to obtain a common alteration. Cancer cells and macrophages were the dominant cell types in the S and GG components, respectively. Cancer cells in the S components, which showed relatively malignant phenotypes, were likely to originate from both the GG and S components and monitor the surrounding tumor microenvironment (TME) through an intricate cell interaction network. SPP1hi macrophages were enriched in the S components and showed increased activity of chemoattraction, while macrophages in the GG components displayed an active antimicrobial process with a higher stress-induced state. In addition, the CD47–SIRPA axis was demonstrated to be critical in the maintenance of the GG components. Taken together, our study unraveled the alterations of cell components and transcriptomic features between different components in mGGOs.
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Affiliation(s)
- Yu He
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Fenglei Yu
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yi Tian
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.,Department of Thoracic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Qikang Hu
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Bin Wang
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Li Wang
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yan Hu
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yongguang Tao
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiaofeng Chen
- Department of Anaesthesia, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Muyun Peng
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China
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Liang X, Liu M, Li M, Zhang L. Clinical and CT Features of Subsolid Pulmonary Nodules With Interval Growth: A Systematic Review and Meta-Analysis. Front Oncol 2022; 12:929174. [PMID: 35860567 PMCID: PMC9289285 DOI: 10.3389/fonc.2022.929174] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 06/09/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundEstablishing risk-based follow-up management strategies is crucial to the surveillance of subsolid pulmonary nodules (SSNs). However, the risk factors for SSN growth are not currently clear. This study aimed to perform a systematic review and meta-analysis to identify clinical and CT features correlated with SSN growth.MethodsRelevant studies were retrieved from Web of Science, PubMed, Cochrane Library, and EMBASE. The correlations of clinical and CT features with SSN growth were pooled using a random-effects model or fixed-effects model depending on heterogeneity, which was examined by the Q test and I2 test. Pooled odds ratio (OR) or pooled standardized mean differences (SMD) based on univariate analyses were calculated to assess the correlation of clinical and CT features with SSN growth. Pooled ORs based on multivariate analyses were calculated to find out independent risk factors to SSN growth. Subgroup meta-analysis was performed based on nodule consistency (pure ground-glass nodule (pGGN) and part-solid nodule (PSN). Publication bias was examined using funnel plots.ResultsNineteen original studies were included, consisting of 2444 patients and 3012 SSNs. The median/mean follow-up duration of these studies ranged from 24.2 months to 112 months. Significant correlations were observed between SSN growth and eighteen features. Male sex, history of lung cancer, nodule size > 10 mm, nodule consistency, and age > 65 years were identified as independent risk factors for SSN growth based on multivariate analyses results. Eight features, including male sex, smoking history, nodule size > 10 mm, larger nodule size, air bronchogram, higher mean CT attenuation, well-defined border, and lobulated margin were detected to be significantly correlated with pGGNs growth. Smoking history showed no significant correlation with pGGN growth based on the multivariate analysis results.ConclusionsEighteen clinical and CT features were identified to be correlated with SSN growth, among which male sex, history of lung cancer, nodule size > 10 mm, nodule consistency and age > 65 years were independent risk factors while history of lung cancer was not correlated with pGGN growth. These factors should be considered when making risk-based follow-up plans for SSN patients.
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Godfrey CM, Marmor HN, Lambright ES, Grogan EL. Minimally Invasive and Sublobar Resections for Lung Cancer. Surg Clin North Am 2022; 102:483-492. [PMID: 35671768 PMCID: PMC10089622 DOI: 10.1016/j.suc.2022.01.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Current guidelines for non-small cell lung cancer (NSCLC) recommend segmentectomy over lobectomy for patients with poor pulmonary reserve or for peripheral nodules less than or equal to 2 cm with adenocarcinoma in situ histology, greater than 50% ground-glass opacity on computed tomography, or radiologic doubling time greater than or equal to 400 days. However, emerging data suggest oncologic equivalence of segmentectomy to lobectomy for less than or equal to 2 cm, peripheral stage IA NSCLC regardless of histologic type or radiographic findings.
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Affiliation(s)
- Caroline M Godfrey
- Department of Thoracic Surgery, Vanderbilt University Medical Center, 1161 21st Avenue South, D-4311 MCN, Nashville, TN 37232, USA
| | - Hannah N Marmor
- Department of Thoracic Surgery, Vanderbilt University Medical Center, 609 Oxford House, 1313 21st Avenue South, Nashville, TN 37232, USA
| | - Eric S Lambright
- Department of Thoracic Surgery, Vanderbilt University Medical Center, 609 Oxford House, 1313 21st Avenue South, Nashville, TN 37232, USA
| | - Eric L Grogan
- Section of Thoracic Surgery, Tennessee Valley VA Healthcare System, 1310 24th Ave S. Nashville, TN, 37212, USA; Department of Thoracic Surgery, Vanderbilt University Medical Center, 609 Oxford House, 1313 21st Avenue South, Nashville, TN 37232, USA.
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Ko JP, Bagga B, Gozansky E, Moore WH. Solitary Pulmonary Nodule Evaluation: Pearls and Pitfalls. Semin Ultrasound CT MR 2022; 43:230-245. [PMID: 35688534 DOI: 10.1053/j.sult.2022.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Lung nodules are frequently encountered while interpreting chest CTs and are challenging to detect, characterize, and manage given they can represent both benign or malignant etiologies. An understanding of features associated with malignancy and causes of interpretive pitfalls is helpful to avoid misdiagnoses. This review addresses pertinent topics related to the etiologies for missed lung nodules on radiography and CT. Additionally, CT imaging technical pitfalls and challenges in addition to issues in the evaluation of nodule morphology, attenuation, and size will be discussed. Nodule management guidelines will be addressed as well as recent investigations that further our understanding of lung nodules.
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Affiliation(s)
- Jane P Ko
- Department of Radiology, NYU Langone Health, NYU Grossman School of Medicine, New York, NY.
| | - Barun Bagga
- Department of Radiology, NYU Langone Health, NYU Grossman School of Medicine, New York, NY
| | - Elliott Gozansky
- Department of Radiology, NYU Langone Health, NYU Grossman School of Medicine, New York, NY
| | - William H Moore
- Department of Radiology, NYU Langone Health, NYU Grossman School of Medicine, New York, NY
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Detterbeck FC, Blasberg JD, Woodard GA, Decker RH, Kumbasar U, Park HS, Mase VJ, Bade BC, Li AX, Brandt WS, Madoff DC. A guide for managing patients with stage I NSCLC: deciding between lobectomy, segmentectomy, wedge, SBRT and ablation-part 1: a guide to decision-making. J Thorac Dis 2022; 14:2340-2356. [PMID: 35813719 PMCID: PMC9264102 DOI: 10.21037/jtd-21-1823] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 04/21/2022] [Indexed: 12/02/2022]
Abstract
Background Clinical decision-making for patients with stage I lung cancer is complex. It involves multiple options (lobectomy, segmentectomy, wedge, Stereotactic Body Radiotherapy, thermal ablation), weighing multiple outcomes (e.g., short-, intermediate-, long-term) and multiple aspects of each (e.g., magnitude of a difference, the degree of confidence in the evidence, and the applicability to the patient and setting at hand). A structure is needed to summarize the relevant evidence for an individual patient and to identify which outcomes have the greatest impact on the decision-making. Methods Based on a systematic review from 2000-2021, evidence regarding relevant outcomes was assembled, with attention to aspects of applicability, uncertainty and effect modifiers. A framework was developed to present this information a format that enhances decision-making at the point of care for individual patients. Results While patients often cross over several boundaries, the evidence fits into categories of healthy patients, compromised patients, and favorable tumors. In healthy patients with typical (i.e., solid spiculated) lung cancers, the impact on long-term outcomes is the major driver of treatment selection. This is only slightly ameliorated in older patients. In compromised patients increasing frailty accentuates short-term differences and diminishes long-term differences especially when considering non-surgical vs. surgical approaches; nuances of patient selection (technical treatment feasibility, anticipated risk of acute toxicity, delayed toxicity, and long-term outcomes) as well as patient values are increasingly influential. Favorable (less-aggressive) tumors generally have good long-term outcomes regardless of the treatment approach. Discussion A framework is provided that organizes the evidence and identifies the major drivers of decision-making for an individual patient. This facilitates blending available evidence and clinical judgment in a flexible, nuanced manner that enhances individualized clinical care.
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Affiliation(s)
| | - Justin D. Blasberg
- Thoracic Surgery, Yale University School of Medicine, New Haven, CT, USA
| | - Gavitt A. Woodard
- Thoracic Surgery, Yale University School of Medicine, New Haven, CT, USA
| | - Roy H. Decker
- Therapeutic Radiology, Yale University School of Medicine, New Haven, CT, USA
| | - Ulas Kumbasar
- Thoracic Surgery, Hacettepe University School of Medicine, Ankara, Turkey
| | - Henry S. Park
- Therapeutic Radiology, Yale University School of Medicine, New Haven, CT, USA
| | - Vincent J. Mase
- Thoracic Surgery, Yale University School of Medicine, New Haven, CT, USA
| | - Brett C. Bade
- Pulmonary Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew X. Li
- General Surgery, Yale University School of Medicine, New Haven, CT, USA
| | - Whitney S. Brandt
- Cardiothoracic Surgery, Washington University School of Medicine, St louis, MO, USA
| | - David C. Madoff
- Radiology & Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
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Bade BC, Blasberg JD, Mase VJ, Kumbasar U, Li AX, Park HS, Decker RH, Madoff DC, Brandt WS, Woodard GA, Detterbeck FC. A guide for managing patients with stage I NSCLC: deciding between lobectomy, segmentectomy, wedge, SBRT and ablation-part 3: systematic review of evidence regarding surgery in compromised patients or specific tumors. J Thorac Dis 2022; 14:2387-2411. [PMID: 35813753 PMCID: PMC9264070 DOI: 10.21037/jtd-21-1825] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 05/09/2022] [Indexed: 11/06/2022]
Abstract
Background Clinical decision-making for patients with stage I lung cancer is complex. It involves multiple options [lobectomy, segmentectomy, wedge, stereotactic body radiotherapy (SBRT), thermal ablation], weighing multiple outcomes (e.g., short-, intermediate-, long-term) and multiple aspects of each (e.g., magnitude of a difference, the degree of confidence in the evidence, and the applicability to the patient and setting at hand). A structure is needed to summarize the relevant evidence for an individual patient and to identify which outcomes have the greatest impact on the decision-making. Methods A PubMed systematic review from 2000-2021 of outcomes after lobectomy, segmentectomy and wedge resection in older patients, patients with limited pulmonary reserve and favorable tumors is the focus of this paper. Evidence was abstracted from randomized trials and non-randomized comparisons (NRCs) with adjustment for confounders. The analysis involved careful assessment, including characteristics of patients, settings, residual confounding etc. to expose degrees of uncertainty and applicability to individual patients. Evidence is summarized that provides an at-a-glance overall impression as well as the ability to delve into layers of details of the patients, settings and treatments involved. Results In older patients, perioperative mortality is minimally altered by resection extent and only slightly affected by increasing age; sublobar resection may slightly decrease morbidity. Long-term outcomes are worse after lesser resection; the difference is slightly attenuated with increasing age. Reported short-term outcomes are quite acceptable in (selected) patients with severely limited pulmonary reserve, not clearly altered by resection extent but substantially improved by a minimally invasive approach. Quality-of-life (QOL) and impact on pulmonary function hasn't been well studied, but there appears to be little difference by resection extent in older or compromised patients. Patient selection is paramount but not well defined. Ground-glass and screen-detected tumors exhibit favorable long-term outcomes regardless of resection extent; however solid tumors <1 cm are not a reliably favorable group. Conclusions A systematic, comprehensive summary of evidence regarding resection extent in compromised patients and favorable tumors with attention to aspects of applicability, uncertainty and effect modifiers provides a foundation for a framework for individualized decision-making.
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Affiliation(s)
- Brett C. Bade
- Department of Pulmonary Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Justin D. Blasberg
- Department of Thoracic Surgery, Yale University School of Medicine, New Haven, CT, USA
| | - Vincent J. Mase
- Department of Thoracic Surgery, Yale University School of Medicine, New Haven, CT, USA
| | - Ulas Kumbasar
- Department of Thoracic Surgery, Hacettepe University School of Medicine, Ankara, Turkey
| | - Andrew X. Li
- Department of General Surgery, Yale University School of Medicine, New Haven, CT, USA
| | - Henry S. Park
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT, USA
| | - Roy H. Decker
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT, USA
| | - David C. Madoff
- Department of Radiology & Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
| | - Whitney S. Brandt
- Department of Cardiothoracic Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Gavitt A. Woodard
- Department of Thoracic Surgery, Yale University School of Medicine, New Haven, CT, USA
| | - Frank C. Detterbeck
- Department of Thoracic Surgery, Yale University School of Medicine, New Haven, CT, USA
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Stepwise evolutionary genomics of early-stage lung adenocarcinoma manifesting as pure, heterogeneous and part-solid ground-glass nodules. Br J Cancer 2022; 127:747-756. [PMID: 35618790 DOI: 10.1038/s41416-022-01821-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 03/25/2022] [Accepted: 04/04/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND This study was designed to unravel the genomic landscape and evolution of early-stage subsolid lung adenocarcinomas (SSN-LUADs) manifesting as pure ground-glass nodules (pGGNs), heterogeneous ground-glass nodules (HGGNs) and part-solid nodules (PSNs). METHODS Samples subjected to either broad-panel next-generation sequencing (NGS) or whole-exome sequencing (WES) were included. Clinicopathologic and genomic features were compared among pGGN, HGGN and PSN, while tumour evolutionary trajectories and mutational signatures were evaluated in the entire cohort. RESULTS In total, 247 SSN-LUAD samples subjected to broad-panel NGS and 125 to WES were identified. Compared with PSNs, HGGNs had significantly lower tumour mutation count (P < 0.001), genomic alteration count (P < 0.001), and intra-tumour heterogeneity (P = 0.005). Statistically significant upward trends were observed in alterations involving driver mutations and oncogenic pathways from pGGNs to HGGNs to PSNs. EGFR mutation was proved to be a key early event in the progression of SSN-LUADs, with subsequently two evolutionary trajectories involving either RBM10 or TP53 mutation in the cancer-evolution models. CONCLUSIONS This study provided evidence for unravelling the previously unknown genomic underpinnings associated with SSN-LUAD evolution from pGGN to HGGN to PSN, proving that HGGN was an intermediate SSN form between pGGN and PSN genetically.
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Zhou X, Wang S, Xu X, Meng X, Zhang H, Zhang A, Song Y, Zhu H, Yang Z, Li N. Higher accuracy of [ 68 Ga]Ga-DOTA-FAPI-04 PET/CT comparing with 2-[ 18F]FDG PET/CT in clinical staging of NSCLC. Eur J Nucl Med Mol Imaging 2022; 49:2983-2993. [PMID: 35543731 DOI: 10.1007/s00259-022-05818-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 04/25/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE This study aimed to explore the clinical staging performance of [68 Ga]Ga-DOTA-FAPI-04 PET/CT compared with that of 2-[18F]FDG PET/CT in non-small cell lung cancer (NSCLC) patients lesion by lesion. METHODS A total of 134 diagnosed or suspected NSCLC patients were enrolled in the prospective study (ChiCTR2000038080); they received paired 2-[18F]FDG PET/CT and [68 Ga]Ga-DOTA-FAPI-04 PET/CT. Of these patients, the retrospective analysis of 74 NSCLC patients with pathological results was conducted from primary tumor (T) diagnosis, lymph node (N), and metastatic lesion (M) staging. The imaging characteristics of the lung nodules and suspected metastases were obtained and analyzed, and the staging performance of 2-[18F]FDG PET/CT and [68 Ga]Ga-DOTA-FAPI-04 PET/CT was compared. RESULTS For T diagnosis, [68 Ga]Ga-DOTA-FAPI-04 showed better diagnostic performance than 2-[18F]FDG in 79 lung nodules of 72 patients, especially for nonsolid and small-dimension adenocarcinoma nodules. For N staging, 98 lymph nodes (LNs) with pathological results in 37 patients were analyzed. The SUVmax of [68 Ga]Ga-DOTA-FAPI-04 in the nonmetastatic LNs was significantly lower than that in the metastatic LNs. Regarding metastatic LN identification, the calculated optimum cut-off value of [68 Ga]Ga-DOTA-FAPI-04 SUVmax was 5.5, and the diagnostic accuracy using [68 Ga]Ga-DOTA-FAPI-04 and 2-[18F]FDG criteria was 94% and 30%, respectively (P < 0.001). For M staging, [68 Ga]Ga-DOTA-FAPI-04 identified more lesions than 2-[18F]FDG (257 vs. 139 lesions) in 14 patients with multiple metastases. Overall, the staging accuracy of [68 Ga]Ga-DOTA-FAPI-04 was better than that of 2-[18F]FDG in 52 patients with different pathological stages [43/52 (82.7%) vs. 27/52 (51.9%), P = 0.001]. CONCLUSION Compared with 2-[18F]FDG PET/CT, [68 Ga]Ga-DOTA-FAPI-04 PET/CT demonstrated better staging performance in NSCLC patients with different pathological stages, especially those with localized disease.
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Affiliation(s)
- Xin Zhou
- Key Laboratory of Carcinogenesis and Translational Research, (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, No. 52 Fucheng Rd, Beijing, 100142, China
| | - Shuailiang Wang
- Key Laboratory of Carcinogenesis and Translational Research, (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, No. 52 Fucheng Rd, Beijing, 100142, China
| | - Xiaoxia Xu
- Key Laboratory of Carcinogenesis and Translational Research, (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, No. 52 Fucheng Rd, Beijing, 100142, China
| | - Xiangxi Meng
- Key Laboratory of Carcinogenesis and Translational Research, (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, No. 52 Fucheng Rd, Beijing, 100142, China
| | - Huiyuan Zhang
- Key Laboratory of Carcinogenesis and Translational Research, (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, No. 52 Fucheng Rd, Beijing, 100142, China
| | - Annan Zhang
- Key Laboratory of Carcinogenesis and Translational Research, (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, No. 52 Fucheng Rd, Beijing, 100142, China
| | - Yufei Song
- Key Laboratory of Carcinogenesis and Translational Research, (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, No. 52 Fucheng Rd, Beijing, 100142, China
| | - Hua Zhu
- Key Laboratory of Carcinogenesis and Translational Research, (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, No. 52 Fucheng Rd, Beijing, 100142, China
| | - Zhi Yang
- Key Laboratory of Carcinogenesis and Translational Research, (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, No. 52 Fucheng Rd, Beijing, 100142, China.
| | - Nan Li
- Key Laboratory of Carcinogenesis and Translational Research, (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, No. 52 Fucheng Rd, Beijing, 100142, China.
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[Application of CT-guided Localization with Medical Glue for Single and Two or More Small Pulmonary Nodules before Video-assisted Thoracic Surgery]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2022; 25:1-6. [PMID: 35078278 PMCID: PMC8796133 DOI: 10.3779/j.issn.1009-3419.2021.102.52] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND The localization of pulmonary nodules is related to whether the lesions can be found and removed accurately and quickly. It is an important link for the success of minimally invasive video-assisted thoracic surgery (VATS). This study investigated the feasibility of medical glue localization under VATS video-assisted thoracoscopic computed tomography (CT) guidance for single pulmonary nodule and more than two pulmonary nodules, and compared with the accuracy and safety of single nodule localization. METHODS A retrospective analysis of the clinical data of patients who underwent unilateral CT-guided medical glue localization before VATS from November 2018 to March 2021 were performed, the patients was divided into multiple pulmonary nodules group (localized nodules ≥2) and single pulmonary nodule group according to the number of localized nodules. The localization time, success rate and complication rate of the two groups were compared. RESULTS There were 126 nodules in the two groups, including 62 in single pulmonary nodule group and 64 in multiple pulmonary nodules group. The average single nodule localization time was (13.23±4.5) min in single pulmonary nodule group and (10.52±2.8) min in multiple pulmonary nodules group, the difference between the two groups is statistically significant (P<0.05). The localization success rate of single pulmonary nodule group and multiple pulmonary nodules group were 100% and 98.4% separately, the difference between the two groups was not statistically significant (P>0.05). All VATS were successfully completed after localization. The incidence of pneumothorax was higher in multiple pulmonary nodules group than in single pulmonary nodule group (P=0.07). CONCLUSIONS Compared with localization of single lung nodule, unilateral CT-guided medical glue localization for multiple pulmonary nodules before VATS is also feasible and accuracy, it is worthy of clinical application. But the higher rate of pneumothorax should be paid attention to.
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Qiu Z, Wu Q, Wang S, Chen Z, Lin F, Zhou Y, Jin J, Xian J, Tian J, Li W. Development of a deep learning-based method to diagnose pulmonary ground-glass nodules by sequential computed tomography imaging. Thorac Cancer 2022; 13:602-612. [PMID: 34994091 PMCID: PMC8841714 DOI: 10.1111/1759-7714.14305] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 12/17/2021] [Accepted: 12/20/2021] [Indexed: 02/05/2023] Open
Abstract
Background Early identification of the malignant propensity of pulmonary ground‐glass nodules (GGNs) can relieve the pressure from tracking lesions and personalized treatment adaptation. The purpose of this study was to develop a deep learning‐based method using sequential computed tomography (CT) imaging for diagnosing pulmonary GGNs. Methods This diagnostic study retrospectively enrolled 762 patients with GGNs from West China Hospital of Sichuan University between July 2009 and March 2019. All patients underwent surgical resection and at least two consecutive time‐point CT scans. We developed a deep learning‐based method to identify GGNs using sequential CT imaging on a training set consisting of 1524 CT sections from 508 patients and then evaluated 256 patients in the testing set. Afterwards, an observer study was conducted to compare the diagnostic performance between the deep learning model and two trained radiologists in the testing set. We further performed stratified analysis to further relieve the impact of histological types, nodule size, time interval between two CTs, and the component of GGNs. Receiver operating characteristic (ROC) analysis was used to assess the performance of all models. Results The deep learning model that used integrated DL‐features from initial and follow‐up CT images yielded the best diagnostic performance, with an area under the curve of 0.841. The observer study showed that the accuracies for the deep learning model, junior radiologist, and senior radiologist were 77.17%, 66.89%, and 77.03%, respectively. Stratified analyses showed that the deep learning model and radiologists exhibited higher performance in the subgroup of nodule sizes larger than 10 mm. With a longer time interval between two CTs, the deep learning model yielded higher diagnostic accuracy, but no general rules were yielded for radiologists. Different densities of components did not affect the performance of the deep learning model. In contrast, the radiologists were affected by the nodule component. Conclusions Deep learning can achieve diagnostic performance on par with or better than radiologists in identifying pulmonary GGNs.
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Affiliation(s)
- Zhixin Qiu
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Qingxia Wu
- College of Medicine and Biomedical Information Engineering, Northeastern University, Shenyang, China
| | - Shuo Wang
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China
| | - Zhixia Chen
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Feng Lin
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Yuyan Zhou
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Jing Jin
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Jinghong Xian
- Department of Clinical Research, West China Hospital, Sichuan University, Chengdu, China
| | - Jie Tian
- College of Medicine and Biomedical Information Engineering, Northeastern University, Shenyang, China.,CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China
| | - Weimin Li
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
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