AIMC Topic: Chemotherapy, Adjuvant

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Cancer Care Access and Outcomes for American Indian Populations in the United States: Challenges and Models for Progress.

Seminars in radiation oncology
Low socioeconomic and health care access realities of being American Indian/Alaskan Native (AI/AN) in the United States combined with decades of data documenting poor cancer outcomes for this population provide a population nested within the United S...

SNRFCB: sub-network based random forest classifier for predicting chemotherapy benefit on survival for cancer treatment.

Molecular bioSystems
Adjuvant chemotherapy (CTX) should be individualized to provide potential survival benefit and avoid potential harm to cancer patients. Our goal was to establish a computational approach for making personalized estimates of the survival benefit from ...

Adjuvant Carboplatin Treatment in 115 Patients With Stage I Seminoma: Retrospective Multicenter Survey.

Clinical genitourinary cancer
BACKGROUND: The administration of carboplatin AUC 7 has become a standard adjuvant option for patients undergoing orchiectomy for stage I seminoma, in alternative to radiotherapy on retroperitoneal lymphnodes or surveillance. The toxicity of AUC 7 ca...

Postoperative photodynamic therapy as a new adjuvant treatment after robot-assisted salvage surgery of recurrent squamous cell carcinoma of the base of tongue.

World journal of surgical oncology
BACKGROUND: For patients who remain with involved resection margins after transoral robot-assisted salvage surgery (TORS) for recurrent squamous cell carcinoma (SCC) at the base of tongue (BOT) following primary (chemo)radiotherapy, further adjuvant ...

Optimization of guidelines for Risk Of Recurrence/Prosigna testing using a machine learning model: a Swedish multicenter study.

Breast (Edinburgh, Scotland)
PURPOSE: Gene expression profiles are used for decision making in the adjuvant setting in hormone receptor-positive, HER2-negative (HR+/HER2-) breast cancer. While algorithms to optimize testing exist for RS/Oncotype Dx, no such efforts have focused ...

Machine learning prediction of pathological complete response to neoadjuvant chemotherapy with peritumoral breast tumor ultrasound radiomics: compare with intratumoral radiomics and clinicopathologic predictors.

Breast cancer research and treatment
PURPOSE: Noninvasive, accurate and novel approaches to predict patients who will achieve pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) could assist treatment strategies. The aim of this study was to explore the application...

MRI-based multimodal AI model enables prediction of recurrence risk and adjuvant therapy in breast cancer.

Pharmacological research
Timely intervention and improved prognosis for breast cancer patients rely on early metastasis risk detection and accurate treatment predictions. This study introduces an advanced multimodal MRI and AI-driven 3D deep learning model, termed the 3D-MMR...

Monitoring Over Time of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients Through an Ensemble Vision Transformers-Based Model.

Cancer medicine
BACKGROUND: Morphological and vascular characteristics of breast cancer can change during neoadjuvant chemotherapy (NAC). Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)-acquired pre- and mid-treatment quantitatively capture informatio...