March 2024
1. MAGNINI A, Lorini C, Calistri L, Calcagni F, et al
   The Impact of Rapid On-site Evaluation on Diagnostic Performance of Computed Tomography-Guided Core Needle Biopsy in Lung Cancer.
   J Comput Assist Tomogr. 2024 Mar 22. doi: 10.1097/RCT.0000000000001606.
   

   >> Share

   
   
2. HU Y, Geng Y, Wang H, Chen H, et al
   Improved Prediction of Epidermal Growth Factor Receptor Status by Combined Radiomics of Primary Nonsmall-Cell Lung Cancer and Distant Metastasis.
   J Comput Assist Tomogr. 2024 Mar 18. doi: 10.1097/RCT.0000000000001591.
   

   >> Share

   
   November 2023
3. SHI J, Chen H, Wang X, Cao R, et al
   Using Radiomics to Differentiate Brain Metastases From Lung Cancer Versus Breast Cancer, Including Predicting Epidermal Growth Factor Receptor and human Epidermal Growth Factor Receptor 2 Status.
   J Comput Assist Tomogr. 2023;47:924-933.
   

   >> Share

   
   
4. ZHANG Y, Tan W, Zheng Z, Wang J, et al
   Body Composition and Radiomics From 18 F-FDG PET/CT Together Help Predict Prognosis for Patients With Stage IV Non-Small Cell Lung Cancer.
   J Comput Assist Tomogr. 2023;47:906-912.
   

   >> Share

   
   October 2023
5. UDELSMAN BV, Detterbeck F, Tanoue L, Mase V, et al
   Impact of the COVID-19 Pandemic on Lung Cancer Screening Processes in a Northeast Tertiary Health Care Network.
   J Comput Assist Tomogr. 2023 Oct 12. doi: 10.1097/RCT.0000000000001549.
   

   >> Share

   
   July 2023
6. SHI J, Chen H, Wang X, Cao R, et al
   Using Radiomics to Differentiate Brain Metastases From Lung Cancer Versus Breast Cancer, Including Predicting Epidermal Growth Factor Receptor and human Epidermal Growth Factor Receptor 2 Status.
   J Comput Assist Tomogr. 2023 Jul 28. doi: 10.1097/RCT.0000000000001499.
   

   >> Share

   
   
7. ZHANG Y, Tan W, Zheng Z, Wang J, et al
   Body Composition and Radiomics From 18F-FDG PET/CT Together Help Predict Prognosis for Patients With Stage IV Non-Small Cell Lung Cancer.
   J Comput Assist Tomogr. 2023 Jul 7. doi: 10.1097/RCT.0000000000001496.
   

   >> Share

   
   May 2023
8. YOSHIDA K, Takamatsu A, Toshima F, Kozaka K, et al
   Computer-Aided Detection of Subsolid Nodules on Chest Computed Tomography: Assessment of Visualization on Vessel-Suppressed Images.
   J Comput Assist Tomogr. 2023;47:412-417.
   

   >> Share

   
   
9. YANG X, Li C, Hou J, Xiong Z, et al
   Differentiating Peripherally Located Pulmonary Noncalcified Hamartoma From Carcinoid Using CT Radiomics Approaches.
   J Comput Assist Tomogr. 2023;47:402-411.
   

   >> Share

   
   
10. RYAN JW, Hammer MM
    Growth Rates of Pulmonary Carcinoid Tumors and Hamartomas.
    J Comput Assist Tomogr. 2023;47:396-401.
    

    >> Share

    
    March 2023
11. TSENG SC, Gagne SM, Hatabu H, Lin G, et al
    Lung Cancer in Lung Transplant Recipients: Clinical, Radiologic, and Pathologic Characteristics and Treatment Outcome.
    J Comput Assist Tomogr. 2023 Mar 9. doi: 10.1097/RCT.0000000000001466.
    

    >> Share

    
    
12. NIU S, Zhang H, Wang X, Jiang W, et al
    Radiomics of Spinal Metastases Originating From Primary Nonsmall Cell Lung Cancer or Breast Cancer and Ability to Predict Epidermal Growth Factor Receptor Mutation/Ki-67 Levels.
    J Comput Assist Tomogr. 2023 Mar 9. doi: 10.1097/RCT.0000000000001465.
    

    >> Share

    
    January 2023
13. MAEHARA Y, Miura H, Hirota T, Asai S, et al
    Frequency and Risk Factors for Air Embolism in Computed Tomography Fluoroscopy-Guided Biopsy of Lung Tumor With the Use of Noncoaxial Automatic Needle.
    J Comput Assist Tomogr. 2023;47:71-77.
    

    >> Share

    
    December 2022
14. INOUE A, Johnson TF, Walkoff LA, Levin DL, et al
    Lung Cancer Screening Using Clinical Photon-Counting Detector Computed Tomography and Energy-Integrating-Detector Computed Tomography: A Prospective Patient Study.
    J Comput Assist Tomogr. 2022 Dec 27. doi: 10.1097/RCT.0000000000001419.
    

    >> Share

    
    November 2022
15. XIE X, Dong M, Zhang L, Ding D, et al
    With the Increasing Health Awareness: Clinical and Computed Tomography Findings in Primary Pulmonary Mucosa-Associated Lymphoid Tissue Lymphoma Lymphoma.
    J Comput Assist Tomogr. 2022;46:894-899.
    

    >> Share

    
    
16. ZHONG Y, Xu H, Zhang W, Li H, et al
    Radiomic Analysis of Pulmonary Nodules for Distinguishing Malignancy From Benignancy: The Value of Using Iodine Maps From Dual-Energy Computed Tomography.
    J Comput Assist Tomogr. 2022;46:878-883.
    

    >> Share

    
    April 2022
17. JIANG J, Leng Y, Liu J, Yin J, et al
    Volumetric Analysis of Intravoxel Incoherent Motion Diffusion-Weighted Imaging for Predicting the Response to Chemotherapy in Patients With Locally Advanced Non-Small Cell Lung Cancer.
    J Comput Assist Tomogr. 2022 Apr 8. pii: 00004728-990000000-00003.
    

    >> Share

    
    
18. QI LP, Li XT, Ma ZM, Yang Y, et al
    Preoperative Patient and Lesion Features Are Valuable for Predicting the Prognosis of Resectable Peripheral Non-Small Cell Lung Cancer.
    J Comput Assist Tomogr. 2022 Apr 8. pii: 00004728-990000000-00015.
    

    >> Share

    
    March 2022
19. MOON JW, Yi CA, Lee KS, Woo SY, et al
    Preoperative Helical Dynamic Enhanced Multidetector Row Computed Tomography: Can It Be a Prognostic Indicator in Early-Stage Non-small Cell Lung Cancer?
    J Comput Assist Tomogr. 2022;46:308-314.
    

    >> Share

    
    
20. CHEN W, Xu M, Sun Y, Ji C, et al
    Integrative Predictive Models of Computed Tomography Texture Parameters and Hematological Parameters for Lymph Node Metastasis in Lung Adenocarcinomas.
    J Comput Assist Tomogr. 2022;46:315-324.
    

    >> Share

    
    
21. HAN JY, Lee KN, Choi SJ, Baek JW, et al
    Is Free Breathing Possible During Computed Tomography-Guided Percutaneous Transthoracic Lung Biopsy? The Clinical Experience in 585 Cases.
    J Comput Assist Tomogr. 2022;46:294-299.
    

    >> Share

    
    
22. ZHU LH, Wang FN, Wang YW, Cheng QH, et al
    Differentiation Between Solitary Pulmonary Inflammatory Lesions and Solitary Cancer Using Gemstone Spectral Imaging.
    J Comput Assist Tomogr. 2022;46:300-307.
    

    >> Share

    
    November 2021
23. WANG B, Yu N, Han D, Ren Z, et al
    Computed Tomography Imaging Characteristics: Potential Indicators of Epidermal Growth Factor Receptor Mutation in Lung Adenocarcinoma.
    J Comput Assist Tomogr. 2021;45:964-969.
    

    >> Share

    
    September 2021
24. LIU H, Wang J, Lang J, Zhang X, et al
    Pulmonary Epithelioid Hemangioendothelioma: Imaging and Clinical Features.
    J Comput Assist Tomogr. 2021;45:788-794.
    

    >> Share

    
    
25. AZOUR L, Liu S, Washer SL, Moore WH, et al
    Percutaneous Transthoracic Lung Biopsy: Optimizing Yield and Mitigating Risk.
    J Comput Assist Tomogr. 2021;45:765-775.
    

    >> Share

    
    August 2021
26. VOS D, Rao S, Pierce JD, Smith DA, et al
    The Past, Present, and Future (Liquid Biopsy) of Serum Tumor Markers in Lung Cancer: A Primer for the Radiologist.
    J Comput Assist Tomogr. 2021 Aug 2. pii: 00004728-900000000-98889.
    

    >> Share

    
    May 2021
27. HU X, Gu Q, Zhang K, Deng D, et al
    Dual-Energy Computed Tomography for the Diagnosis of Mediastinal Lymph Node Metastasis in Lung Cancer Patients: A Preliminary Study.
    J Comput Assist Tomogr. 2021;45:490-494.
    

    >> Share

    
    March 2021
28. CHANG AI, Kim TS, Han J, Kim TJ, et al
    NUT Midline Carcinoma of the Lung: Computed Tomography Findings in 10 Patients.
    J Comput Assist Tomogr. 2021;45:330-336.
    

    >> Share

    
    
29. YEN A, Pfeffer Y, Blumenfeld A, Balcombe JN, et al
    Use of a Dual Artificial Intelligence Platform to Detect Unreported Lung Nodules.
    J Comput Assist Tomogr. 2021;45:318-322.
    

    >> Share

    
    

Free Medical Abstracts
Privacy Policy
Sponsors
Share