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Background: Kirsten rat sarcoma viral oncogene homolog (KRAS) is a key oncogenic driver in lung adenocarcinoma (LUAD). The correlation between KRAS mutations and the computed tomographic (CT) texture features in LUAD patients is not well established. This study aimed to investigate the relationship between the CT texture features of LUAD and the KRAS mutation.
Methods: This study included 808 LUAD patients who were diagnosed with the KRAS mutation and underwent surgical resection at the Huadong Hospital. Of the 808 patients, 720 had preoperative chest CT data, which were collected for retrospective analysis. Further, all the CT images of lesions were classified into different categories based on the CT texture features. Moreover, the association between KRAS status and the clinical features and CT texture features was evaluated.
Results: The results revealed that KRAS mutations were more common in the male patients than the female patients [8.5% (29/341) 2.4% (11/467), P<0.0001] and were more frequent in the older patients than the younger patients [6.5% (29/448) 3.1% (11/360), P=0.02]. The CT texture feature of mixed ground-glass opacity (mGGO) indicated a lower incidence of KRAS mutations than the CT texture features of pure ground-glass opacity (pGGO) [1.3% (3/232) 6.7% (15/225), P=0.0032] and pure solid opacity (pSO) [1.3% (3/232) 6.1% (16/263), P=0.0056]. Moreover, a comparison of the frequency of pGGOs and pSOs ≤1 cm showed that the frequency of PGOs was higher than that of pSOs for KRAS mutations wild type, but the statistical significance was marginal [12.0% (11/92) 0% (0/27), P=0.05].
Conclusions: This study revealed that KRAS mutations were more common in male and older LUAD patients. Further, in most LUAD patients with KRAS mutations, pGGOs changed into pSOs at the size of >1 cm at least.
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http://dx.doi.org/10.21037/qims-24-1880 | DOI Listing |
J Immunother Cancer
September 2025
CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Neoadjuvant immunochemotherapy (nICT) has demonstrated significant potential in improving pathological response rates and survival outcomes for patients with locally advanced esophageal squamous cell carcinoma (ESCC). However, substantial interindividual variability in therapeutic outcomes highlights the urgent need for more precise predictive tools to guide clinical decision-making. Traditional biomarkers remain limited in both predictive performance and clinical feasibility.
View Article and Find Full Text PDFPathol Res Pract
September 2025
Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China. Electronic address:
Background: Dermal clear cell sarcoma (DCCS) is a rare malignant mesenchymal neoplasm. Owing to the overlaps in its morphological and immunophenotypic profiles with a broad spectrum of tumors exhibiting melanocytic differentiation, it is frequently misdiagnosed as other tumor entities in clinical practice. By systematically analyzing the clinicopathological characteristics, immunophenotypic features, and molecular biological properties of DCCS, this study intends to further enhance pathologists' understanding of this disease and provide a valuable reference for its accurate diagnosis.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Smart Manufacturing, Industrial Perception and Intelligent Manufacturing Equipment Engineering Research Center of Jiangsu Province, Nanjing Vocational University of Industry Technology, Nanjing, Jiangsu, China.
In the field of quality control, metal surface defect detection is an important yet challenging task. Although YOLO models perform well in most object detection scenarios, metal surface images under operational conditions often exhibit coexisting high-frequency noise components and spectral aliasing background textures, and defect targets typically exhibit characteristics such as small scale, weak contrast, and multi-class coexistence, posing challenges for automatic defect detection systems. To address this, we introduce concepts including wavelet decomposition, cross-attention, and U-shaped dilated convolution into the YOLO framework, proposing the YOLOv11-WBD model to enhance feature representation capability and semantic mining effectiveness.
View Article and Find Full Text PDFAnn Surg Oncol
September 2025
HepatoBiliaryPancreatic Surgery, AOU Careggi, Department of Experimental and Clinical Medicine (DMSC), University of Florence, Florence, Italy.
Purpose: To build computed tomography (CT)-based radiomics models, with independent external validation, to predict recurrence and disease-specific mortality in patients with colorectal liver metastases (CRLM) who underwent liver resection.
Methods: 113 patients were included in this retrospective study: the internal training cohort comprised 66 patients, while the external validation cohort comprised 47. All patients underwent a CT study before surgery.
Biomed Environ Sci
August 2025
School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Objective: To identify the key features of facial and tongue images associated with anemia in female populations, establish anemia risk-screening models, and evaluate their performance.
Methods: A total of 533 female participants (anemic and healthy) were recruited from Shuguang Hospital. Facial and tongue images were collected using the TFDA-1 tongue and face diagnosis instrument.