Quantitative volumetric assessment of the solid portion percentage on CT images to predict ROS1/ALK rearrangements in lung adenocarcinomas

Purpose: The aims of this study were to combine CT images with Ki-67 expression to distinguish various subtypes of lung adenocarcinoma and to pre-operatively predict the Ki-67 expression level based on CT radiomic features.Methods: Data from 215 patients with 237 pathologically proven lung adenocarcinoma lesions who underwent CT and immunohistochemical Ki-67 from January 2019 to April 2021 were retrospectively analyzed. The receiver operating curve (ROC) identified the Ki-67 cut-off value for differentiating subtypes of lung adenocarcinoma. A chi-square test or t-test analyzed the differences in the CT images between the negative expression group (n = 132) and the positive expression group (n = 105), and then the risk factors affecting the expression level of Ki-67 were evaluated. Patients were randomly divided into a training dataset (n = 165) and a validation dataset (n = 72) in a ratio of 7:3. A total of 1,316 quantitative radiomic features were extracted from the Analysis Kinetics (A.K.) software. Radiomic feature selection and radiomic classifier were generated through a least absolute shrinkage and selection operator (LASSO) regression and logistic regression analysis model. The predictive capacity of the radiomic classifiers for the Ki-67 levels was investigated through the ROC curves in the training and testing groups.Results: The cut-off value of the Ki-67 to distinguish subtypes of lung adenocarcinoma was 5%. A comparison of clinical data and imaging features between the two groups showed that histopathological subtypes and air bronchograms could be used as risk factors to evaluate the expression of Ki-67 in lung adenocarcinoma (p = 0.005, p = 0.045, respectively). Through radiomic feature selection, eight top-class features constructed the radiomic model to pre-operatively predict the expression of Ki-67, and the area under the ROC curves of the training group and the testing group were 0.871 and 0.8, respectively.Conclusion: Ki-67 expression level with a cut-off value of 5% could be used to differentiate non-invasive lung adenocarcinomas from invasive lung adenocarcinomas. It is feasible and reliable to pre-operatively predict the expression level of Ki-67 in lung adenocarcinomas based on CT radiomic features, as a non-invasive biomarker to predict the degree of malignant invasion of lung adenocarcinoma, and to evaluate the prognosis of the tumor.

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Dilatation of Hemashield prostheses – a new method for measuring the true prosthetic diameter based on ECG-gated multislice CT images

The Thoracic and Cardiovascular Surgeon ◽

10.1055/s-0032-1332727 ◽

2013 ◽

Vol 61 (S 01) ◽

Author(s):

M Hamiko ◽

M Endlich ◽

C Krämer ◽

C Probst ◽

A Welz ◽

...

Keyword(s):

Multislice Ct ◽

Ct Images ◽

New Method

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Fully automatic quotient image generation using V/Q SPECT/CT images

10.1055/s-0039-1683718 ◽

2019 ◽

Author(s):

K Herdinai ◽

S Urbán ◽

Z Besenyi ◽

L Pávics ◽

N Zsótér ◽

...

Keyword(s):

Ct Images ◽

Image Generation ◽

Fully Automatic

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Volumetric Assessment of Endoscopic Endonasal Anterior Clinoidectomy

10.1055/s-0040-1702539 ◽

2020 ◽

Author(s):

Pierre-Olivier Champagne ◽

Georgios Zenonos ◽

Eric E. Wang ◽

Carl H. Snyderman ◽

Paul A. Gardner

Keyword(s):

Endoscopic Endonasal ◽

Anterior Clinoidectomy ◽

Volumetric Assessment

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Fully automatic lung lobe segmentation using V/Q SPECT/CT images

10.1055/s-0040-1708371 ◽

2020 ◽

Author(s):

A Király ◽

S Urbán ◽

Z Besenyi ◽

L Pávics ◽

N Zsótér ◽

...

Keyword(s):

Ct Images ◽

Lung Lobe ◽

Fully Automatic ◽

Lobe Segmentation

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Pseudocolor Transformation for the Visualization of Stapes in CT Images

Skull Base ◽

10.1055/s-2006-958540 ◽

2007 ◽

Vol 16 (S 2) ◽

Author(s):

Moon Suh Park ◽

Jae Yong Byun ◽

Seung Gun Yeo ◽

Chang Il Cha

Keyword(s):

Ct Images

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Clinical Manifestations and Radiological Characteristics on Rosai-Dorfman Disease: A Retrospective Observational Study

Medical & Clinical Research ◽

10.33140/mcr.05.05.005 ◽

2020 ◽

Vol 5 (5) ◽

Keyword(s):

Blood Vessels ◽

Abdominal Cavity ◽

Clinical Manifestations ◽

Ct Images ◽

High Signal ◽

Radiological Features ◽

Imaging Characteristics ◽

Rosai Dorfman Disease ◽

Heterogeneous Enhancement ◽

The Masses

Background and Objective: Rosai-Dorfman disease (RDD) are usually misdiagnosed because of rarity and nonspecific clinical and radiological features. The aim of our study is to explore the clinical and imaging characteristics of RDD to improve diagnostic accuracy. Methods: Clinical and imaging data in 10 patients with RDD were retrospectively analyzed. 7 patients were underwent CT scanning and 3 patients were underwent MR examination. Results: 8 (8/10) patients presented with painless enlarged lymph nodes (LNs) or mass. 3 cases were involved with LNs, 5 cases were involved with extra-nodal tissues, and the remaining 2 cases were involved with LNs and extra-nodal tissue simultaneously. In enhanced CT images, enlarged LNs displayed mild or moderate enhancement, and 2 cases showed heterogeneous ring-enhancement. MR features of 3 patients with extra-nodal RDD, 2 cases showed a mass located in the subcutaneous and anterior abdominal wall respectively, and 1 case showed an intracranial mass. Besides, all lesions showed high signal foci on DWI images, and were characterized by marked heterogeneous enhancement with blurred edge. The dural/fascia tail sign and dilated blood vessels could be seen around all the lesions on enhanced MRI. Radiological features of 2 cases with LN and extranodal tissue involved, one case presented with the swelling and thickening of pharyngeal lymphoid ring and nasopharynx, meanwhile with enlarged LNs in bilateral submandibular area, neck and abdominal cavity, and also companied with osteolytic lesion in right proximal humerus. All these LNs displayed mild and moderate enhancement on CT images. Another case showed enlarged LNs in bilateral neck accompanied with soft tissue mass in the sinuses. Conclusions: RDD occurred commonly in young and middle-aged men and presented with painless enlarged LNs or mass.RDD had a huge diversity of imaging findings, which varied with different location. The radiological features, such as small patches of high signal foci in the masses on DWI images, heterogeneous enhancement and blood vessels around the masses, are helpful in diagnosis of extranodal RDD.

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