Effect of computed tomography window settings and reconstruction plane on 8th edition T-stage classification in patients with lung adenocarcinoma manifesting as a subsolid nodule

2018 ◽  
Vol 98 ◽  
pp. 130-135 ◽  
Author(s):  
Hyungwoo Ahn ◽  
Kyung Won Lee ◽  
Kyung Hee Lee ◽  
Jihang Kim ◽  
Kwhanmien Kim ◽  
...  
2021 ◽  
Vol 16 (3) ◽  
pp. S135-S136
Author(s):  
Z. Qiu ◽  
C. Zhang ◽  
H. Wang ◽  
R. Fu ◽  
F. Cai ◽  
...  

2018 ◽  
Vol 50 (2) ◽  
pp. e208
Author(s):  
L. Archibugi ◽  
M.C. Petrone ◽  
D. Tamburrino ◽  
S. Crippa ◽  
E. Dabizzi ◽  
...  

2002 ◽  
Vol 26 (6) ◽  
pp. 1026-1031 ◽  
Author(s):  
Atsushi Nambu ◽  
Kazuyuki Miyata ◽  
Katsura Ozawa ◽  
Masahisa Miyazawa ◽  
Yuuko Taguchi ◽  
...  

2021 ◽  
Vol 23 (2) ◽  
pp. 99-106
Author(s):  
Inna D. Amelina ◽  
Lev N. Shevkunov ◽  
Aleksey M. Karachun ◽  
Alexander E. Mikhnin ◽  
Denis V. Nesterov

The advantages of computed tomographic pneumogastrography with the possibility of three-dimensional visualization and virtual gastroscopy in diagnosing gastric cancer are considered. The study included 479 patients with histologically diagnosed gastric cancer who were treated at the National Medical Research Center of Oncology named after N.N. Petrov from 2011 to 2018. 232 patients received preoperative chemotherapy. All patients underwent surgery: 70 in the volume of endoscopic dissection, 40 proximal subtotal resection, 166 distal subtotal resection, 203 gastrectomy. All patients at the preoperative stage underwent staging computed tomography on a 64-slice X-ray computed tomograph: 208 patients underwent computed tomography according to the standard protocol without targeted preparation of the stomach for the study, 271 patients with targeted preparation of the stomach for the study according to the computed tomographic pneumogastrography protocol. The sensitivity of the computed tomography in assessing the T-stage was assessed by comparison with pathomorphological data. Of the 208 patients who underwent computed tomography according to the standard protocol, a gastric cancer was detected in 111 (53.4%), out of 271 patients who underwent computed tomography pneumogastrography, a gastric cancer was detected in 267 (98.52%), which is a statistically significant difference in comparing computed tomography methods (Pearson, 144.223, df = 1; p 0.001). There are statistically significant differences when comparing computed tomography according to the standard protocol and computed tomographic pneumogastrography in detecting gastric cancer for all tumor categories: T/yT1 8.2 and 94.4% (Pearson, 99.205, df = 1; p 0.001), T/yT2 47.8 and 100% (Pearson, 24.681, df = 1; p 0.001), T/yT3 72.3 and 100% (Pearson, 33.114, df = 1; p 0.001), T/yT4 90.0 and 100% (Pearson, 4.789, df = 1; p = 0.029) respectively. There are also statistically significant differences when comparing the sensitivity of computed tomography according to the standard protocol and computed tomographic pneumogastrography in determining tumor invasion for all tumor categories: T/yT1 0 and 69.4% (Pearson, 67.880, df = 1; p 0.001), T/yT2 26.1 and 71.1% (Pearson, 11.666, df = 1; p 0.001), T/yT3 32.9 and 84.6% (Pearson, 54.900, df = 1; p 0.001), T/yT4 73.3 and 95.7% (Pearson, 7.916, df = 1; p = 0.005) respectively. In general, the sensitivity of the computed tomography according to the standard protocol for determining the T-stage of gastric cancer was 28.4%, computed tomographic pneumogastrography 77.1% (Pearson, 113.505, df = 1; p 0.001). Computed tomographic pneumogastrography with the possibility of three-dimensional visualization and virtual gastroscopy significantly increases the indicators of the effectiveness of diagnosing gastric cancer both early forms (category T1) and with deeper invasion (categories T2T4), demonstrates high sensitivity in determining T/yT-stages.


2020 ◽  
Author(s):  
Zhiqiang Li ◽  
Hongwei Zheng ◽  
Shanshan Liu ◽  
Xinhua Wang ◽  
Lei Xiao ◽  
...  

Abstract Background: To investigate whether thin-section computed tomography (TSCT) features may efficiently guide the invasiveness basedclassification of lung adenocarcinoma. Methods: Totally, 316 lung adenocarcinoma patients (from 2011-2015) were divided into three groups: 56 adenocarcinoma in situ (AIS), 98 minimally invasive adenocarcinoma (MIA), and 162 invasive adenocarcinoma (IAC) according their pathological results. Their TSCT features, including nodule pattern, shape, pleural invasion, solid proportion, border, margin, vascular convergence, air bronchograms, vacuole sign, pleural indentation, diameter, solid diameter, and CT values of ground-glass nodules (GGN) were analyzed. Pearson’s chi-square test, Fisher’s exact test and One-way ANOVA were adopted tocomparebetweengroups. Receiver operating characteristic (ROC) analysis wereperformedto assess its value for prediction and diagnosis. Results: Patients with IAC were significantly elder than those in AIS or MIA group,and more MIA patients had a smoking history than AIS and IAC. No recurrence happened in the AIS and MIA groups, while 4.3% recurrences were confirmed in the IAC group. As for TSCT variables, we found AIS group showed dominantly higher 91.07%PGGN pattern and 87.50% round/oval nodules than that in MIA and IAC group. In contrast, MIA group showed more cases with undefined border and vascular convergence than AIS and IAC group. Importantly, IAC group uniquely showed higher frequency of pleural invasion compared with MIA and AIS group. The majority of patients (82.1%) in IAC group showed ≥ 50% solid proportion. We found diameter and solid diameter of the lesions were notably larger in the IAC group compared with AIS and MIA groupin quantitative aspect. In addition, for MGGNs, the CT values of ground-glass opacity (GGO) and ground-glass opacity solid portion (GGO-solid) were both higher in the IAC group than AIS and MIA. Finally, we also observed that smooth margin took a dominant proportion in the AIS group while most cases in the IAC group had a lobulate margin. Patients in MIA and IAC group shared higher level of air bronchograms and vacuole signs than AIS group. Conclusions: The unique features in different groups identified by TSCT had diagnosis value for lung adenocarcinoma.


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