Abstract 4035
Background
Breast cancer is one of the most common malignant disease for women. Mammography is the preferred method for breast cancer detection. The purpose is to investigate the feasibility and accuracy of texture features extracted from digital mammograms at predicting benign and malignant breast mass using Radiomics.
Methods
494 digital mammograms data who diagnosed as breast masses (Benign: 251 Malignant: 243) by mammography were enrolled. Enrol criteria: breast masses classified as BI-RADS 3, 4, and 5 and at last confirmed by histopathology. Lesion area was marked with a rectangular frame on the Cranio-Caudal (CC) and MedioLateral Oblique (MLO) images at the 5M workstation. The rectangular regions of interest (ROI) was segmented and 456 radiomics features were extracted from every ROI. Extracted features were dimensioned by Maximum Relevance Minimum Redundancy (MRMR) and Lasso algorithm. Post-dimension features were classified using Support Vector Machine (SVM). 70% of the data as a training set and the other 30% as a testing set. The reliability of the Classifier was evaluated by the 10-fold cross-validation. The classification accuracy was evaluated by the accuracy and sensitivity and AUC.
Results
Both the MRMR and Lasso screened 30 radiomics features respectively. 10-fold cross-validation showed that their accuracy were 88.70% and 86.71%, respectively. In testing sets, Through the MRMR algorithm, the classifier achieves an accuracy of 92.00% and a sensitivity of 91.10% and AUC of 95.10%. Through the lasso dimension reduction algorithm, the classifier achieves an accuracy of 83.26% and a sensitivity of 75.90% and AUC of 89.38%.
Conclusions
Radiomics texture features from digital mammograms may be used for benign and malignant prediction. This method offer better accuracy and sensitivity. It is expected to provide an auxiliary diagnosis for the imaging doctors.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
2607 - Single cycle induction treatment with Cisplatin/Docetaxel plus Durvalumab/Tremelimumab in Stage III-IVB head and neck squamous cell cancer (CheckRad-CD8 trial)
Presenter: Markus Hecht
Session: Poster Display session 3
Resources:
Abstract
1388 - Radiotherapy plus cisplatin (CDDP) or cetuximab (C225) in human papilloma-virus (HPV)-associated oropharyngeal cancer (OPC)? A dillema finally resolved. An updated meta-analysis.
Presenter: Petar Suton
Session: Poster Display session 3
Resources:
Abstract
1478 - Treatment outcomes of head and neck cancer patients 70 years and older receiving different chemo-radiation combinations.
Presenter: Majd Issa
Session: Poster Display session 3
Resources:
Abstract
3985 - Brachytherapy and non-cancer mortality in patients with oral cavity and oropharynx SCCs
Presenter: Jovian Yu
Session: Poster Display session 3
Resources:
Abstract
4036 - Final results of a phase II study of induction chemotherapy (CT) with paclitaxel (PTX) and panitumumab (P) followed by radiotherapy (RT) and P in patients (pts) with locally advanced head and neck cancer (LAHNC) no candidates to platinum: study PANTERA
Presenter: Javier Martinez Trufero
Session: Poster Display session 3
Resources:
Abstract
4779 - Window of Opportunity for Durvalumab (MEDI4736) plus Metformin Trial in Squamous Cell Carcinoma of the Head and Neck (SCCHN): interim safety analysis
Presenter: Tony Richa
Session: Poster Display session 3
Resources:
Abstract
2757 - Severe Oral Mucositis (SOM) Mitigation by Genetically Modified Lactococcus Lactis Bacteria (LLB) Producing Human Trefoil Factor 1 (hTFF1; AG013) in Patients Being Treated With Concomitant Chemoradiation (CRT) for Oral and Oropharyngeal Cancers (OCOPC)
Presenter: Suraj Singh
Session: Poster Display session 3
Resources:
Abstract
5559 - Transcriptome signatures of treatment responses in a preoperative window of opportunity trial of nivolumab and tadalafil in resectable squamous cell carcinoma of the head and neck
Presenter: Sanket Shukla
Session: Poster Display session 3
Resources:
Abstract
3263 - Risk and Impact of Renal Impairment of Locally Advanced Head and Neck Squamous Cell Carcinoma Patients Who Received Chemoradiotherapy with Cisplatin
Presenter: Thana Patimarattananan
Session: Poster Display session 3
Resources:
Abstract
3128 - Systemic bevacizumab for the treatment of recurrent respiratory papillomatosis: A retrospective analysis from an academic tertiary care center
Presenter: Sumita Trivedi
Session: Poster Display session 3
Resources:
Abstract