PREOPERATIVE PREDICTION OF WALL INVASION DEPTH OF PRIMARY TUMOR (PT) IN GASTRIC CANCER PATIENTS
Objective: To create a prognostic nomogram that evaluates the likelihood of serosal invasion of the primary tumor in the stomach wall (рТ4) by analyzing preoperative data. This model aims to optimize treatment plans and enhance the effectiveness of treatment for LAGC. Methods: A retrospective ana...
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Avicenna Tajik State Medical University
2025-07-01
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| Series: | Паёми Сино |
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| Online Access: | https://doi.org/10.25005/2074-0581-2025-27-2-327-339 |
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| author | M.YU. REUTOVICH O.V. KRASKO A.I. PATSEIKA H.S. HUSSEIN |
| author_facet | M.YU. REUTOVICH O.V. KRASKO A.I. PATSEIKA H.S. HUSSEIN |
| author_sort | M.YU. REUTOVICH |
| collection | DOAJ |
| description | Objective: To create a prognostic nomogram that evaluates the likelihood of serosal invasion of the primary tumor in the stomach wall (рТ4) by analyzing preoperative data. This model aims to optimize treatment plans and enhance the effectiveness of treatment for LAGC.
Methods: A retrospective analysis was conducted on the treatment outcomes of 1,054 patients who underwent radical surgery for metastatic gastric cancer (mGC). The study examined the relationship between the depth of primary tumor invasion into the gastric wall (GVI) and various preoperative clinical, morphological, and laboratory parameters. Significant risk factors identified in the univariate analysis were further assessed as independent variables in a multivariate logistic regression analysis. These variables were then incorporated into a nomogram. The clinical validation of the model was performed by evaluating the long-term treatment outcomes.
Results: : It has been established that the following factors are prognostically significant for assessing the likelihood of invasion of the serosa of the stomach by the primary tumor (рТ4) preoperatively: 1. Size of the primary tumor (natural logarithm) – odds ratio (OR) 5.5 (95% CI 3.8-8.3), p<0.001. 2. Infiltrative variant of the macroscopic growth form – OR 1.9 (95% CI 1.3-3.0), p=0.002. 3. Total or subtotal involvement of the stomach – OR 1.8 (95% CI 1.1-3.0), p=0.029. 4. Non-cohesive adenocarcinoma (high grade, GIII) – OR 1.7 (95% CI 1.1-2.9), p=0.029. 5. Fibrinogen level increase of 1 g/l – OR 1.5 (95% CI 1.2-1.8), p<0.001. Based on a linear combination of these predictors, a prognostic model in the form of a nomogram was developed. This model demonstrates high predictive accuracy, with a concordance index of 0.826 (95% CI 0.78-0.86).
Conclusion: Careful consideration of the clinical and morphological features of the tumor process within the framework of applying the developed prognostic model increases the accuracy of determining the preoperative T category, bringing the predicted clinical T-stage (prT) as close as possible to the proper рТ stage determined by histopathological examination (HPE). |
| format | Article |
| id | doaj-art-af310f0baa974df4bf16d0b244985e3d |
| institution | DOAJ |
| issn | 2074-0581 2959-6327 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Avicenna Tajik State Medical University |
| record_format | Article |
| series | Паёми Сино |
| spelling | doaj-art-af310f0baa974df4bf16d0b244985e3d2025-08-20T02:43:25ZengAvicenna Tajik State Medical UniversityПаёми Сино2074-05812959-63272025-07-0127232733910.25005/2074-0581-2025-27-2-327-339PREOPERATIVE PREDICTION OF WALL INVASION DEPTH OF PRIMARY TUMOR (PT) IN GASTRIC CANCER PATIENTSM.YU. REUTOVICH0O.V. KRASKO1A.I. PATSEIKA2H.S. HUSSEIN3Belarusian State Medical University, Minsk, Republic of BelarusUnited Institute of Informatics Problems, National Academy of Sciences, Minsk, Republic of BelarusN.N. Alexandrov National Cancer Center of Belarus, Minsk, Republic of BelarusN.N. Alexandrov National Cancer Center of Belarus, Minsk, Republic of BelarusObjective: To create a prognostic nomogram that evaluates the likelihood of serosal invasion of the primary tumor in the stomach wall (рТ4) by analyzing preoperative data. This model aims to optimize treatment plans and enhance the effectiveness of treatment for LAGC. Methods: A retrospective analysis was conducted on the treatment outcomes of 1,054 patients who underwent radical surgery for metastatic gastric cancer (mGC). The study examined the relationship between the depth of primary tumor invasion into the gastric wall (GVI) and various preoperative clinical, morphological, and laboratory parameters. Significant risk factors identified in the univariate analysis were further assessed as independent variables in a multivariate logistic regression analysis. These variables were then incorporated into a nomogram. The clinical validation of the model was performed by evaluating the long-term treatment outcomes. Results: : It has been established that the following factors are prognostically significant for assessing the likelihood of invasion of the serosa of the stomach by the primary tumor (рТ4) preoperatively: 1. Size of the primary tumor (natural logarithm) – odds ratio (OR) 5.5 (95% CI 3.8-8.3), p<0.001. 2. Infiltrative variant of the macroscopic growth form – OR 1.9 (95% CI 1.3-3.0), p=0.002. 3. Total or subtotal involvement of the stomach – OR 1.8 (95% CI 1.1-3.0), p=0.029. 4. Non-cohesive adenocarcinoma (high grade, GIII) – OR 1.7 (95% CI 1.1-2.9), p=0.029. 5. Fibrinogen level increase of 1 g/l – OR 1.5 (95% CI 1.2-1.8), p<0.001. Based on a linear combination of these predictors, a prognostic model in the form of a nomogram was developed. This model demonstrates high predictive accuracy, with a concordance index of 0.826 (95% CI 0.78-0.86). Conclusion: Careful consideration of the clinical and morphological features of the tumor process within the framework of applying the developed prognostic model increases the accuracy of determining the preoperative T category, bringing the predicted clinical T-stage (prT) as close as possible to the proper рТ stage determined by histopathological examination (HPE).https://doi.org/10.25005/2074-0581-2025-27-2-327-339locally advanced gastric cancerpreoperative pt4 predictionnomogram. |
| spellingShingle | M.YU. REUTOVICH O.V. KRASKO A.I. PATSEIKA H.S. HUSSEIN PREOPERATIVE PREDICTION OF WALL INVASION DEPTH OF PRIMARY TUMOR (PT) IN GASTRIC CANCER PATIENTS Паёми Сино locally advanced gastric cancer preoperative pt4 prediction nomogram. |
| title | PREOPERATIVE PREDICTION OF WALL INVASION DEPTH OF PRIMARY TUMOR (PT) IN GASTRIC CANCER PATIENTS |
| title_full | PREOPERATIVE PREDICTION OF WALL INVASION DEPTH OF PRIMARY TUMOR (PT) IN GASTRIC CANCER PATIENTS |
| title_fullStr | PREOPERATIVE PREDICTION OF WALL INVASION DEPTH OF PRIMARY TUMOR (PT) IN GASTRIC CANCER PATIENTS |
| title_full_unstemmed | PREOPERATIVE PREDICTION OF WALL INVASION DEPTH OF PRIMARY TUMOR (PT) IN GASTRIC CANCER PATIENTS |
| title_short | PREOPERATIVE PREDICTION OF WALL INVASION DEPTH OF PRIMARY TUMOR (PT) IN GASTRIC CANCER PATIENTS |
| title_sort | preoperative prediction of wall invasion depth of primary tumor pt in gastric cancer patients |
| topic | locally advanced gastric cancer preoperative pt4 prediction nomogram. |
| url | https://doi.org/10.25005/2074-0581-2025-27-2-327-339 |
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