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Researchers develop deep learning model to predict occult peritoneal metastasis in gastric cancer patients

Researchers develop deep learning model to predict occult peritoneal metastasis in gastric cancer patients Stomach cancer, or gastric cancer, is a common gastrointestinal malignancy. Peritoneal metastasis occurs in a majority of patients with advanced stomach cancer and is considered as an aggressive disease with poor outcomes. Patients with peritoneal metastasis are typically not eligible for curative surgery. Therefore, preoperative detection and diagnosis of peritoneal metastasis are critical to inform treatment decision-making and avoid unnecessary surgery. Related Stories A new study published in the JAMA Network Open on Jan. 5 shows that deep learning can help predicting the occult peritoneal metastasis in stomach cancer. It provides a novel and noninvasive approach for stomach cancer patients and may inform individualized surgical management of stomach cancer.

Effect of Capecitabine Maintenance Therapy Using Lower Dosage and Higher Frequency vs Observation on Disease-Free Survival Among Patients With Early-Stage Triple-Negative Breast Cancer Who Had Received Standard Treatment: The SYSUCC-001 Randomized Clinical Trial | Breast Cancer | JAMA

Effect of Capecitabine Maintenance Therapy Using Lower Dosage and Higher Frequency vs Observation on Disease-Free Survival Among Patients With Early-Stage Triple-Negative Breast Cancer Who Had Received Standard Treatment: The SYSUCC-001 Randomized Clinical Trial | Breast Cancer | JAMA
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