Nomogram Using CT Radiomics Features for Differentiation of Pneumonia-Type Invasive Mucinous Adenocarcinoma and Pneumonia: Multicenter Development and External Validation Study

Article Radiology, Nuclear Medicine & Medical Imaging

Differential diagnosis of localized pneumonic-type lung adenocarcinoma and pulmonary inflammatory lesion

Qi Li et al.

Summary: L-PLADC and L-PIL have different clinical and imaging characteristics. Understanding these differential features is important for the early diagnosis and treatment strategy of L-PLADC.

INSIGHTS INTO IMAGING (2022)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures

Hongmei Wang et al.

Summary: This study compared feature engineering and deep learning methods to identify high-dimensional image features for predicting COVID-19 pneumonia. By extracting deep learning and radiomics features, models were developed and validated for COVID-19 diagnosis, showing improved diagnostic performance when combining deep learning and radiomics models.

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2021)

添加到收藏夹

Article Cardiac & Cardiovascular Systems

Comparison of Surgical Outcomes Between Invasive Mucinous and Non-Mucinous Lung Adenocarcinoma

Takuya Matsui et al.

Summary: Invasive mucinous adenocarcinoma (IMA) is a rare subtype of invasive lung adenocarcinoma with differences in lymph node metastasis and KRAS mutations compared to non-IMA. Patients with IMA have a higher rate of intrapulmonary recurrence postoperatively, leading to significantly worse prognosis among those with lung recurrence compared to non-IMA patients. Overall survival rates at 5 years did not differ significantly between the two groups.

ANNALS OF THORACIC SURGERY (2021)

添加到收藏夹

Article Engineering, Biomedical

4D radiomics: impact of 4D-CBCT image quality on radiomic analysis

Zeyu Zhang et al.

Summary: This study demonstrated that the image quality of 4D-CBCT has a significant impact on radiomic analysis, and deep learning techniques can effectively enhance the image quality to improve the accuracy of radiomic features.

PHYSICS IN MEDICINE AND BIOLOGY (2021)

添加到收藏夹

Article Oncology

Comparative study of imaging and pathological evaluation of pneumonic mucinous adenocarcinoma

Jun Han et al.

Summary: Patients with pneumonia-type lung cancer (PTLC) do not exhibit specific clinical features, making imaging diagnosis difficult and the etiology of pathological changes unclear. The study explored the mechanisms of PTLC formation through CT scans and pathological analysis of the lungs. The results suggested that mucinous adenocarcinoma tumor cells produce substantial mucus, leading to possible development of pneumonia-type mucinous adenocarcinoma.

ONCOLOGY LETTERS (2021)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Pneumonic-type lung adenocarcinoma with different ranges exhibiting different clinical, imaging, and pathological characteristics

Ji-wen Huo et al.

Summary: Pneumonic-type lung adenocarcinoma (PLADC) can be divided into localized (L-PLADC) and diffuse (D-PLADC) subtypes based on imaging, with distinct clinical, imaging, and pathological characteristics between the two. Patients with L-PLADC were more likely to be female, non-smokers, while those with D-PLADC were more likely to be male, smokers. The new imaging-based classification could potentially lead to personalized treatment plans and improved patient outcomes.

INSIGHTS INTO IMAGING (2021)

添加到收藏夹

Editorial Material Critical Care Medicine

A 61-Year-Old Man With Influenza Pneumonia and New Onset Hemoptysis

Biplab K. Saha et al.

Summary: A 61-year-old man presented to the ED with fever, chills, cough, purulent sputum, and progressive shortness of breath for 7 days. The patient was an active smoker with at least 80 pack-year smoking history. He had no other medical or surgical history and was not on any medication at home.

CHEST (2021)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Primary Invasive Mucinous Adenocarcinoma of the Lung: Prognostic Value of CT Imaging Features Combined with Clinical Factors

Tingting Wang et al.

Summary: The study found that CT imaging features are closely associated with survival outcomes in IMA patients. Some imaging features, such as air bronchogram and emphysema, can serve as independent prognostic factors, and different imaging subtypes have varying impacts on prognosis.

KOREAN JOURNAL OF RADIOLOGY (2021)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging