Abstract 33P
Background
To investigate the feasibility of virtual monoenergetic images (VMIs) derived from a dual-layer detector spectral CT (SDCT) in patients with breast cancer by assessing tumor conspicuity in comparison with conventional images (CI) and to correlate tumor conspicuity on VMIS with prognostic biomarkers.
Methods
64 patients with pathologically proven benign or breast cancers (14 benign lesions and 65 breast cancers) underwent arterial and 90s delayed phase scan on a SDCT for tumor staging between June 2016 and May 2018. CI were reconstructed at 120kVp, and VMI at 40 keV (VMI40). A retrospective spectral data analysis was performed to assess the regions of interest by using CI and VMI40 on arterial and delayed images (CIART, VMI40ART, CIDE, and VMI40DE). Two radiologists independently reviewed the 4 image sets for the conspicuity score of breast lesions. For quantitative analysis, measurement of Hounsfield units (HU) of breast lesions on VMI40ART and VMI40DE was performed. Receiver operating characteristic (ROC) analysis was performed. Estrogen receptor (ER), human epidermal growth factor receptor 2 (HER2), and Ki67 level were evaluated using histopathology. Statistically, conspicuity score and mean HU of malignant lesions were correlated with histological characteristics.
Results
The mean conspicuity score of malignant lesions was significantly higher compared with that of benign lesions in all image sets (P < 0.05). The area under the ROC curve of conspicuity score for malignant lesions were greatest on VMI40DE. VMI40DE yielded significantly higher mean HU of malignant lesions compared to VMI40ART (P < 0.001). Malignant lesions on VMI40ART and VMI40DE revealed significantly higher mean HU compared to those of benign lesions (P < 0.001). The conspicuity score and the mean HU on VMI40ART were significantly higher in cancers with diameter greater than 2 cm, ER negativity, PR negativity, and Ki67 positivity (P < 0.05).
Conclusions
VMI40DE is feasible to diagnose breast cancers with higher conspicuity score and better contrast enhancement compared with VMI40ART. Moreover, VMI40ART may serve as additional predictors of a poor breast cancer prognosis.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The author.
Funding
Has not received any funding.
Disclosure
The author has declared no conflicts of interest.
Resources from the same session
75P - A parallel deep learning network framework for whole-body bone scan image analysis
Presenter: Xiaorong Pu
Session: Poster display session
Resources:
Abstract
76P - Perception and satisfaction of cancer patients in clinical trials
Presenter: Jukyung Jeon
Session: Poster display session
Resources:
Abstract
77P - A prognostic nomogram for the prediction of neuroblastoma
Presenter: Jian-Guo Zhou
Session: Poster display session
Resources:
Abstract
80P - The clinical usefulness of a new fat-dissociation method to detect lymph nodes from surgically resected specimen in colorectal cancer: Prospective randomized study
Presenter: Shiki Fujino
Session: Poster display session
Resources:
Abstract
81P - Concurrent or consolidation chemotherapy during radiation as neoadjuvant treatment for locally advanced rectal cancer: A propensity score analysis from two prospective study
Presenter: JianWei Zhang
Session: Poster display session
Resources:
Abstract
82P - Body mass index, tumour location, and colorectal cancer survival
Presenter: Dake Chu
Session: Poster display session
Resources:
Abstract
83P - Helicobacter bilis may play a role in the carcinogenesis of colitis associated colon cancer correlating to increased number of CD4+CD45RB+ T cells
Presenter: Xiangsheng Fu
Session: Poster display session
Resources:
Abstract
84P - Comprehensive evaluation of relapse risk (CERR) score for colorectal liver metastases development and validation
Presenter: Jianmin Xu
Session: Poster display session
Resources:
Abstract
85P - Which is the best partner for capecitabine-based neoadjuvant chemoradiotherapy in locally advanced rectal cancer? A retrospective analysis of a comprehensive cancer center
Presenter: Jingwen Wang
Session: Poster display session
Resources:
Abstract
87P - Negative to positive lymph node ratio-prognostic marker of survival in node positive rectal cancer
Presenter: Pavan Jonnada
Session: Poster display session
Resources:
Abstract