Delta dual‑region DCE-MRI radiomics from breast masses predicts axillary lymph node response after neoadjuvant therapy for breast cancer DOI Creative Commons
Qiao Zeng, Yiwen Deng, Jiang Nan

et al.

BMC Cancer, Journal Year: 2025, Volume and Issue: 25(1)

Published: Feb. 14, 2025

This study was designed to develop and validate models based on delta intratumoral peritumoral radiomics features from breast masses dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for the prediction of axillary lymph node (ALN) pathological complete response (pCR) after neoadjuvant therapy (NAT) in patients with cancer (BC). We retrospectively collected data 187 BC ALN metastases. Radiomics were extracted 3 mm-peritumoral regions DCE-MRI at baseline 2nd course NAT calculate features, respectively. After feature selection, (DIR) model (DPR) built using retained features. An ultrasound constructed basis preoperative results. All variables screened by univariate multivariate logistic regression construct combined model. The above evaluated compared. In validation set, had lowest AUC, which lower than those DIR, DPR (0.627 vs 0.825, 0.687, 0.846, respectively). dual-region dianogsis significantly better terms Delong test integrated discrimination improvement (all p < 0.05). Delta have potential predict status NAT. mass can accurately diagnose ALN-pCR provide assistance selection surgical approaches patients.

Language: Английский

Peritoneal Carcinosis: What the Radiologist Needs to Know DOI Creative Commons
Alfonso Reginelli,

Giuliana Giacobbe,

Maria Teresa Del Canto

et al.

Diagnostics, Journal Year: 2023, Volume and Issue: 13(11), P. 1974 - 1974

Published: June 5, 2023

Peritoneal carcinosis is a condition characterized by the spread of cancer cells to peritoneum, which thin membrane that lines abdominal cavity. It serious can result from many different types cancer, including ovarian, colon, stomach, pancreatic, and appendix cancer. The diagnosis quantification lesions in peritoneal are critical management patients with condition, imaging plays central role this process. Radiologists play vital multidisciplinary carcinosis. They need have thorough understanding pathophysiology underlying neoplasms, typical findings. In addition, they be aware differential diagnoses advantages disadvantages various methods available. Imaging lesions, radiologists Ultrasound, computed tomography, magnetic resonance, PET/CT scans used diagnose Each procedure has disadvantages, particular techniques recommended based on patient conditions. Our aim provide knowledge regarding appropriate techniques, findings, diagnoses, treatment options. With advent AI oncology, future precision medicine appears promising, interconnection between structured reporting likely improve diagnostic accuracy outcomes for

Language: Английский

Citations

10
Expanding Horizons: The Realities of CAD, the Promise of Artificial Intelligence, and Machine Learning’s Role in Breast Imaging beyond Screening Mammography DOI Creative Commons
Tara Retson, Mohammad Eghtedari

Diagnostics, Journal Year: 2023, Volume and Issue: 13(13), P. 2133 - 2133

Published: June 21, 2023

Artificial intelligence (AI) applications in mammography have gained significant popular attention; however, AI has the potential to revolutionize other aspects of breast imaging beyond simple lesion detection. enhance risk assessment by combining conventional factors with and improve detection through a comparison prior studies considerations symmetry. It also holds promise ultrasound analysis automated whole ultrasound, areas marked unique challenges. AI’s utility extends administrative tasks such as MQSA compliance, scheduling, protocoling, which can reduce radiologists’ workload. However, adoption faces limitations terms data quality standardization, generalizability, benchmarking performance, integration into clinical workflows. Developing methods for radiologists interpret decisions, understanding patient perspectives build trust results, will be key future endeavors, ultimate aim fostering more efficient radiology practices better care.

Language: Английский

Citations

10
Radiomics nomogram for predicting axillary lymph node metastasis—a potential method to address the limitation of axilla coverage in cone-beam breast CT: a bi-center retrospective study DOI
Yueqiang Zhu, Yue Ma, Yuwei Zhang

et al.

La radiologia medica, Journal Year: 2023, Volume and Issue: 128(12), P. 1472 - 1482

Published: Oct. 19, 2023

Language: Английский

Citations

10
Prediction of a radiomics-based nomogram for complete remission in atypical endometrial hyperplasia and early endometrial cancer patients seeking fertility preservation DOI Creative Commons
Ruiqi Wang, Jingyuan Wang,

Yuman Wu

et al.

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 187, P. 109764 - 109764

Published: Feb. 11, 2025

Language: Английский

Citations

0
Delta dual‑region DCE-MRI radiomics from breast masses predicts axillary lymph node response after neoadjuvant therapy for breast cancer DOI Creative Commons
Qiao Zeng, Yiwen Deng, Jiang Nan

et al.

BMC Cancer, Journal Year: 2025, Volume and Issue: 25(1)

Published: Feb. 14, 2025

This study was designed to develop and validate models based on delta intratumoral peritumoral radiomics features from breast masses dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for the prediction of axillary lymph node (ALN) pathological complete response (pCR) after neoadjuvant therapy (NAT) in patients with cancer (BC). We retrospectively collected data 187 BC ALN metastases. Radiomics were extracted 3 mm-peritumoral regions DCE-MRI at baseline 2nd course NAT calculate features, respectively. After feature selection, (DIR) model (DPR) built using retained features. An ultrasound constructed basis preoperative results. All variables screened by univariate multivariate logistic regression construct combined model. The above evaluated compared. In validation set, had lowest AUC, which lower than those DIR, DPR (0.627 vs 0.825, 0.687, 0.846, respectively). dual-region dianogsis significantly better terms Delong test integrated discrimination improvement (all p < 0.05). Delta have potential predict status NAT. mass can accurately diagnose ALN-pCR provide assistance selection surgical approaches patients.

Language: Английский

Citations

0