Using Pathomics-Based Model for Predicting Positive Surgical Margins in Patients with Esophageal Squamous Cell Carcinoma: A Comparative Study of Decision Tree and Nomogram

Our study successfully established and validated a pathology-based predictive model for PSM risk, which could enhance preoperative evaluation and inform treatment strategies for ESCC.

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Publication Details

Journal
International Journal of General Medicine
Published
2024-12-01
DOI
https://doi.org/10.2147/ijgm.s495296
Citations
1
Primary Topic
Esophageal Cancer Research and Treatment
Type
article
Field-Weighted Citation Impact
0.57
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article

Using Pathomics-Based Model for Predicting Positive Surgical Margins in Patients with Esophageal Squamous Cell Carcinoma: A Comparative Study of Decision Tree and Nomogram

Shiyun Feng, Ze Tang, Y. Ban, Qing Liu et al.
1 citations
International Journal of General Medicine
Esophageal Cancer Research and Treatment
0.57
article

Using Pathomics-Based Model for Predicting Positive Surgical Margins in Patients with Esophageal Squamous Cell Carcinoma: A Comparative Study of Decision Tree and Nomogram

Shiyun Feng, Ze Tang, Y. Ban, Qing Liu, Yan Zhang
article en
1 citations

Abstract

Our study successfully established and validated a pathology-based predictive model for PSM risk, which could enhance preoperative evaluation and inform treatment strategies for ESCC.

International Journal of General MedicineVol. Volume 17
Jilin University (CN), First Hospital of Jilin University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 27%
Esophageal Cancer Research and Treatment
0.57
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