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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Hong, Yanling Li, Xiaoqing Liu, Zhengjin Fu, Congcong Nie, Miaomiao Chen, Chenghui Feng, Hao Gan, Shufen Zeng, Qiang |
| Abstract | Introduction Accurate assessment of the depth of tumor invasion in gastric cancer (GC) is vital for the selection of suitable patients for neoadjuvant chemotherapy (NAC). Current problem is that preoperative differentiation between T1-2 and T3-4 stage cases in GC is always highly challenging for radiologists. Methods A total of 129 GC patients were divided into training (91 cases) and validation (38 cases) cohorts. Pathology from surgical specimens categorized patients into T1-2 and T3-4 stages. IVIM-DWI and MRI morphological characteristics were evaluated, and a multimodal nomogram was developed. The MRI morphological model, IVIM-DWI model, and combined model were constructed using logistic regression. Their effectiveness was assessed using receiver operating characteristic (ROC) curves, calibration curves, decision curve analysis (DCA), and clinical impact curves (CIC). Results The combined nomogram, integrating preoperative IVIM-DWI parameters (D value) and MRI morphological characteristics (maximum tumor thickness, extra-serosal invasion), achieved the highest area under the curve (AUC) values of 0.901 and 0.883 in the training and validation cohorts, respectively. No significant difference was observed between the AUCs of the IVIM-DWI and MRI morphological models in either cohort (training: 0.796 vs. 0.835, p = 0.593; validation: 0.794 vs. 0.766, p = 0.79). Conclusion The multimodal nomogram, combining IVIM-DWI parameters and MRI morphological characteristics, emerges as a promising tool for assessing tumor invasion depth in GC, potentially guiding the selection of suitable candidates for neoadjuvant chemotherapy (NAC) treatment. |
| Related Links | https://eurjmedres.biomedcentral.com/counter/pdf/10.1186/s40001-024-02017-w.pdf |
| Ending Page | 14 |
| Page Count | 14 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| DOI | 10.1186/s40001-024-02017-w |
| Journal | European Journal of Medical Research |
| Issue Number | 1 |
| Volume Number | 29 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-08-22 |
| Access Restriction | Open |
| Subject Keyword | Medicine Public Health Infectious Diseases Internal Medicine Surgery Oncology Biomedicine Intravoxel incoherent motion Diffusion weighted imaging Stomach neoplasms Neoplasm staging Nomogram Medicine/Public Health |
| Content Type | Text |
| Resource Type | Article |
| Subject | Medicine |
| Journal Impact Factor | 2.8/2023 |
| 5-Year Journal Impact Factor | 2.9/2023 |
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