The Study of the Value of Spectral CT Imaging Combined with Virtual Non-Contrast in the Identification of Pathological Type of Lung Cancer

Background: This study proposed to quantitatively assess the value of spectral CT imaging parameters in differentiating different pathological types of lung cancer. Methods: Eighty five patients with lung cancer (66 non-mucinous adenocarcinomas, 7 Squamous cell carcinomas, 8 small cell carcinomas, 1 mucinous adenocarcinoma, 1 sarcomatoid carcinoma, 1 carcinoid, 1 large cell carcinoma) underwent CT plain scan, contrast enhanced CT scans in arterial phase (a) and venous phase (v) with spectral imaging mode on a GE Revolution Xtream CT scanner. The Spectral CT Imaging parameters: Iodine concentrations (IC) of lesion in arterial phase (ICLa) and venous phase (ICLv), Normalized IC (NICa/NICv)-normalized to the IC in the aorta, slope of the spectral HU curve (λHUa/λHUv) and monochromatic CT number (CT40keVa/CT40keVv, CT70keVa/CT70keVv) enhancement on 40 keV and 70 keV images were calculated. The One-way ANOVA or Kruskal-Wallis test was used to compare quantitative parameters among lung squamous carcinoma, small cell carcinoma and lung adenocarcinoma groups, Bonferroni method was used to correct P value for multiple comparisons. Results: Among the different pathological types of lung cancers, these quantitative parameters of spectral CT imaging CT70keVa has significant difference. The CT70keVa of lung adenocarcinoma was lower than small cell carcinoma (P = 0.048) and squamous cell carcinoma (P = 0.039), respectively. And these CT40keVa, CT70keVa/CT70keVv parameters of lung adenocarcinoma was lower than non-adenocarcinomas (P < 0.05). However, there was no significant difference in spectral CT parameters between small cell lung cancer and squamous cell lung cancer, small cell lung cancer and non-small cell carcinoma (P > 0.05). Conclusion: Spectral CT parameters may be of value in distinguishing different pathological types of lung cancer.

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Differential diagnosis of osteoblastic metastases from bone islands in patients with lung cancer by single-source dual-energy CT: Advantages of spectral CT imaging

European Journal of Radiology ◽

10.1016/j.ejrad.2015.01.007 ◽

2015 ◽

Vol 84 (5) ◽

pp. 901-907 ◽

Cited By ~ 26

Author(s):

Yue Dong ◽

Shaowei Zheng ◽

Haruhiko Machida ◽

Bing Wang ◽

Ailian Liu ◽

...

Keyword(s):

Lung Cancer ◽

Differential Diagnosis ◽

Dual Energy ◽

Ct Imaging ◽

Dual Energy Ct ◽

Single Source ◽

Spectral Ct

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18F-NOTA-FAPI-04 uptake in metastatic lesions on PET/CT imaging can distinguish different pathological types of lung cancer

10.21203/rs.3.rs-791998/v1 ◽

2021 ◽

Author(s):

Yuchun Wei ◽

Kai Cheng ◽

Zheng Fu ◽

Jinsong Zheng ◽

Zhengshuai Mu ◽

...

Keyword(s):

Lung Cancer ◽

Lymph Nodes ◽

Bone Metastases ◽

Fibroblast Activation Protein ◽

Ct Imaging ◽

Primary Tumors ◽

Fibroblast Activation ◽

Metastatic Lesions ◽

Pathological Type ◽

Pet Ct

Abstract Purpose Radionuclide-labeled fibroblast-activation-protein inhibitor 04 (FAPI-04) as a positron emission tomography (PET) imaging tracer can reveal the localized expression of fibroblast activation protein (FAP), a cell-surface serine protease that is highly upregulated in more than 90% of epithelial carcinomas. In this study, we quantified the 18F-NOTA-FAPI-04 uptake on PET/computed tomography (CT) imaging in different pathological types of lung cancer and metastatic tumors. Methods We prospectively enrolled 61 patients with histopathologically proven primary lung cancer with metastases.PET/CT scanning was performed before any antitumor therapy and 1hour after injection of 235.10 ± 3.89 MBq of 18F-NOTA-FAPI-04. Maximum standard uptake values (SUVmax) were calculated for comparison among primary and metastatic lesions. Results Sixty-one patients with adenocarcinoma (ADC, n = 30), squamous cell carcinoma (SCC, n = 17), and small cell lung cancer (SCLC, n = 14) were enrolled in this study, and 61 primary tumors and 199 metastases were evaluated. No difference in18F-NOTA-FAPI-04 uptake was observed among primary ADC, SCC, and SCLC tumors (P = 0.198).Additionally, no difference in uptake was found between primary and metastatic lesions of lung cancer with the same pathological type (P > 0.05).However, uptake did differ among metastases of differing pathological type (P < 0.001). The SUVmax of metastatic lymph nodes was highest for SCC, followed by ADC and then SCLC (P < 0.001).The SUVmax of bone metastases also was highest for SCC, followed by ADC and SCLC (P < 0.05), but no difference was observed between ADC and SCLC. The SUVmax of metastases in other organs was higher in SCC cases than in ADC cases, but did not differ between SCC and SCLC or ADC and SCLC. Bone metastases exhibited higher uptake than those of lymph nodes and other organs in SCC and ADC (P < 0.05), but not in SCLC. Conclusion 18F-NOTA-FAPI-04 PET/CT imaging revealed differences in FAP expression in metastases of lung cancer, with the highest expression specifically in bone metastases, and thus, may be valuable for distinguishing different pathological types of lung cancer.

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PET/CT Imaging of Small Cell Lung Cancer Using 89Zr-DFO-SC16.56

Case Medical Research ◽

10.31525/ct1-nct04199741 ◽

2019 ◽

Author(s):

Keyword(s):

Lung Cancer ◽

Small Cell Lung Cancer ◽

Cell Lung Cancer ◽

Ct Imaging ◽

Small Cell ◽

Small Cell Lung ◽

Pet Ct

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Automating Lung Cancer Identification in PET/CT Imaging

2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI) ◽

10.1109/rtsi.2018.8548388 ◽

2018 ◽

Author(s):

E. D'Arnese ◽

E. Del Sozzo ◽

A. Chiti ◽

T. Berger-Wolf ◽

M. D. Santambrogio

Keyword(s):

Lung Cancer ◽

Ct Imaging ◽

Pet Ct

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Volumetric Imaging of Lung Tissue at Micrometer Resolution: Clinical Applications of Micro-CT for the Diagnosis of Pulmonary Diseases

Diagnostics ◽

10.3390/diagnostics11112075 ◽

2021 ◽

Vol 11 (11) ◽

pp. 2075

Author(s):

Andreana Bompoti ◽

Andreas S. Papazoglou ◽

Dimitrios V. Moysidis ◽

Nikolaos Otountzidis ◽

Efstratios Karagiannidis ◽

...

Keyword(s):

Lung Cancer ◽

Lung Tissue ◽

Lung Diseases ◽

Human Lung ◽

Imaging Modality ◽

Clinical Applications ◽

Ct Imaging ◽

Micro Ct ◽

Volumetric Imaging ◽

Scoping Reviews

Micro-computed tomography (micro-CT) is a promising novel medical imaging modality that allows for non-destructive volumetric imaging of surgical tissue specimens at high spatial resolution. The aim of this study is to provide a comprehensive assessment of the clinical applications of micro-CT for the tissue-based diagnosis of lung diseases. This scoping review was conducted in accordance with the PRISMA Extension for Scoping Reviews, aiming to include every clinical study reporting on micro-CT imaging of human lung tissues. A literature search yielded 570 candidate articles, out of which 37 were finally included in the review. Of the selected studies, 9 studies explored via micro-CT imaging the morphology and anatomy of normal human lung tissue; 21 studies investigated microanatomic pulmonary alterations due to obstructive or restrictive lung diseases, such as chronic obstructive pulmonary disease, idiopathic pulmonary fibrosis, and cystic fibrosis; and 7 studies examined the utility of micro-CT imaging in assessing lung cancer lesions (n = 4) or in transplantation-related pulmonary alterations (n = 3). The selected studies reported that micro-CT could successfully detect several lung diseases providing three-dimensional images of greater detail and resolution than routine optical slide microscopy, and could additionally provide valuable volumetric insight in both restrictive and obstructive lung diseases. In conclusion, micro-CT-based volumetric measurements and qualitative evaluations of pulmonary tissue structures can be utilized for the clinical management of a variety of lung diseases. With micro-CT devices becoming more accessible, the technology has the potential to establish itself as a core diagnostic imaging modality in pathology and to enable integrated histopathologic and radiologic assessment of lung cancer and other lung diseases.

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Clinical Significance of CYFRA21-1, AFP, CA-153, CEA, and CA-199 in the Diagnosis of Lung Cancer Ocular Metastasis in Hypertension Population

Frontiers in Cardiovascular Medicine ◽

10.3389/fcvm.2021.670594 ◽

2021 ◽

Vol 8 ◽

Author(s):

Jing Tang ◽

Qian-Min Ge ◽

Rong Huang ◽

Hui-Ye Shu ◽

Ting Su ◽

...

Keyword(s):

Risk Factors ◽

Lung Cancer ◽

Logistic Regression ◽

Sensitivity And Specificity ◽

Cancer Metastasis ◽

Binary Logistic Regression ◽

Diagnostic Value ◽

Ca 125 ◽

Pathological Type ◽

Independent Risk Factors

Purpose: To detect lung metastases, we conducted a retrospective study to improve patient prognosis.Methods: Hypertension patients with ocular metastases (OM group; n = 58) and without metastases (NM group; n = 1,217) were selected from individuals with lung cancer admitted to our hospital from April 2005 to October 2019. The clinical characteristics were compared by Student's t-test and chi-square test. Independent risk factors were identified by binary logistic regression, and their diagnostic value evaluated by receiver operating characteristic curve analysis.Results: Age and sex did not differ significantly between OM and NM groups; There were significant differences in pathological type and treatment. Adenocarcinoma was the main pathological type in the OM group (67.24%), while squamous cell carcinoma was the largest proportion (46.43%) in the NM group, followed by adenocarcinoma (34.10%). The OM group were treated with chemotherapy (55.17%), while the NM group received both chemotherapy (39.93%) and surgical treatment (37.06%). Significant differences were detected in the concentrations of cancer antigen (CA)−125, CA-199, CA-153, alpha fetoprotein (AFP), carcinoembryonic antigen (CEA), cytokeratin fraction 21-1 (CYFRA21-1), total prostate-specific antigen, alkaline phosphatase, and hemoglobin (Student's t-test). Binary logistic regression analysis indicated that CA-199, CA-153, AFP, CEA, and CYRFA21-1 were independent risk factors for lung cancer metastasis. AFP (98.3%) and CEA (89.3%) exhibited the highest sensitivity and specificity, respectively, while CYRFA21-1 had the highest area under the ROC curve value (0.875), with sensitivity and specificity values of 77.6 and 87.0%, respectively. Hence, CYFRA21-1 had the best diagnostic value.

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