AIMC Topic: Neoplasm Recurrence, Local

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Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Hepatocellular carcinoma (HCC) is the fifth most common malignancy in the world and the second most common cause of cancer-related death. By surgically removing hepatocellular carcinoma, the patients may have the early recurrence within one year. Rec...

A Reliable Multi-classifier Multi-objective Model for Predicting Recurrence in Triple Negative Breast Cancer.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Recurrence is a significant prognostic factor in patients with triple negative breast cancer, and the ability to accurately predict it is essential for treatment optimization. Machine learning is a preferred strategy for recurrence prediction. Most c...

Salvage robot-assisted radical prostatectomy following failed local treatments.

Archivos espanoles de urologia
Prostate cancer represents the most commonly diagnosed cancer in men and is the second-leading cause of cancer related death in the United States. Primary treatment for prostate cancer includes radiotherapy or ablative procedures such as cryotherapy,...

Artificial intelligence estimates the impact of human papillomavirus types in influencing the risk of cervical dysplasia recurrence: progress toward a more personalized approach.

European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP)
The objective of this study was to determine whether the pretreatment human papillomavirus (HPV) genotype might predict the risk of cervical dysplasia persistence/recurrence. Retrospective analysis of prospectively collected data of consecutive 5104 ...

Artificial intelligence system of faster region-based convolutional neural network surpassing senior radiologists in evaluation of metastatic lymph nodes of rectal cancer.

Chinese medical journal
BACKGROUND: An artificial intelligence system of Faster Region-based Convolutional Neural Network (Faster R-CNN) is newly developed for the diagnosis of metastatic lymph node (LN) in rectal cancer patients. The primary objective of this study was to ...

[CA19-9 Producing Gastric Cancer with Early Recurrence of Multiple Colon Metastases Following Gastrectomy-A Case Report].

Gan to kagaku ryoho. Cancer & chemotherapy
A 90-year-old male underwent total gastrectomy for gastric cancer 10 months earlier. The cancer was pathologically diagnosed as Stage ⅢA. Preoperative serum CA19-9 level was as high as 1,326 U/mL, but quickly decreased after surgery. Although the ser...

[A Case of Multiple Lung Metastases after Liver Resection for Multiple Hepatocellular Carcinomas with Remarkable Effects of Regorafenib].

Gan to kagaku ryoho. Cancer & chemotherapy
The patient was a 63-year-old man with hepatitis C. He discontinued combination therapy containing interferon and ribavirin because of the development of skin symptoms. A screening examination showed multiple early-stage hepatocellular carcinomas. He...

[A Case of Pelvic Metastasis of Rectal Cancer That Developed Ten Years after Curative Resection].

Gan to kagaku ryoho. Cancer & chemotherapy
We report a case of pelvic metastasis of rectal cancer that developed 10 years after curative resection. An 81-year-old woman underwent intersphincteric resection for lower rectal cancer 10 years previously. The tumor was pathologically diagnosed as ...