دورية أكاديمية
A clinical spectrum of resectable lung adenocarcinoma with micropapillary component (MPC) concurrently presenting as mixed ground-glass opacity nodules.
| العنوان: | A clinical spectrum of resectable lung adenocarcinoma with micropapillary component (MPC) concurrently presenting as mixed ground-glass opacity nodules. |
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| المؤلفون: | Zhu Z; Department of Respiratory and Critical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China., Jiang W; Department of Respiratory and Critical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China., Zhou D; Department of Respiratory and Critical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China., Zhu W; Pathology Department, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China., Chen C; Department of Respiratory and Critical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China. |
| المصدر: | Cancer biomarkers : section A of Disease markers [Cancer Biomark] 2023 Nov 18. Date of Electronic Publication: 2023 Nov 18. |
| Publication Model: | Ahead of Print |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: IOS Press Country of Publication: Netherlands NLM ID: 101256509 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1875-8592 (Electronic) Linking ISSN: 15740153 NLM ISO Abbreviation: Cancer Biomark Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: Amsterdam ; Washington, DC : IOS Press, c2005- |
| مستخلص: | Background: In clinical practice, preoperative identification of mixed ground-glass opacity (mGGO) nodules with micropapillary component (MPC) to facilitate the implementation of individualized therapeutic strategies and avoid unnecessary surgery is increasingly importantOBJECTIVE: This study aimed to build a predictive model based on clinical and radiological variables for the early identification of MPC in lung adenocarcinoma presenting as mGGO nodules. Methods: The enrolled 741 lung adenocarcinoma patients were randomly divided into a training cohort and a validation cohort (3:1 ratio). The pathological specimens and preoperative images of malignant mGGO nodules from the study subjects were retrospectively reviewed. Furthermore, in the training cohort, selected clinical and radiological variables were utilized to construct a predictive model for MPC prediction. Results: The MPC was found in 228 (43.3%) patients in the training cohort and 72 (41.1%) patients in the validation cohort. Based on the predictive nomogram, the air bronchogram was defined as the most dominant independent risk factor for MPC of mGGO nodules, followed by the maximum computed tomography (CT) value (> 200), adjacent to pleura, gender (male), and vacuolar sign. The nomogram demonstrated good discriminative ability with a C-index of 0.783 (95%[CI] 0.744-0.822) in the training cohort and a C-index of 0.799 (95%[CI] 0.732-0.866) in the validation cohort Additionally, by using the bootstrapping method, this predictive model calculated a corrected AUC of 0.774 (95% CI: 0.770-0.779) in the training cohort. Conclusions: This study proposed a predictive model for preoperative identification of MPC in known lung adenocarcinomas presenting as mGGO nodules to facilitate individualized therapy. This nomogram model needs to be further externally validated by subsequent multicenter studies. |
| فهرسة مساهمة: | Keywords: Mixed ground-glass opacity (mGGO); lung adenocarcinoma; micropapillary component (MPC); nomogram; predictive model |
| تواريخ الأحداث: | Date Created: 20231225 Latest Revision: 20231231 |
| رمز التحديث: | 20231231 |
| DOI: | 10.3233/CBM-230104 |
| PMID: | 38143336 |
| قاعدة البيانات: | MEDLINE |
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