Use of contrast-enhanced computed tomography in clinical staging of asymptomatic breast cancer patients to detect asymptomatic distant metastases

Tanaka, Satoru

doi:10.3892/ol.2012.594

Cited by 15 publications

(19 citation statements)

References 12 publications

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“…Currently, LVI can be diagnosed only by postoperative histopathology, and preoperative prediction is extremely difficult (14,15). Compared with conventional CT, CECT can better distinguish normal tissues from tumors, and perform better in detecting tumors, showing tumor extent and staging (16,17). Yin et al (18) explored the correlation of triple-phase multi-slice CT scan with intratumor LVI of progressive gastric cancer.…”

Section: Introductionmentioning

confidence: 99%

Contrast-Enhanced CT-Based Radiomics Analysis in Predicting Lymphovascular Invasion in Esophageal Squamous Cell Carcinoma

Wang

Yang

et al. 2021

Front. Oncol.

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ObjectivesTo develop a radiomics model based on contrast-enhanced CT (CECT) to predict the lymphovascular invasion (LVI) in esophageal squamous cell carcinoma (ESCC) and provide decision-making support for clinicians.Patients and MethodsThis retrospective study enrolled 334 patients with surgically resected and pathologically confirmed ESCC, including 96 patients with LVI and 238 patients without LVI. All enrolled patients were randomly divided into a training cohort and a testing cohort at a ratio of 7:3, with the training cohort containing 234 patients (68 patients with LVI and 166 without LVI) and the testing cohort containing 100 patients (28 patients with LVI and 72 without LVI). All patients underwent preoperative CECT scans within 2 weeks before operation. Quantitative radiomics features were extracted from CECT images, and the least absolute shrinkage and selection operator (LASSO) method was applied to select radiomics features. Logistic regression (Logistic), support vector machine (SVM), and decision tree (Tree) methods were separately used to establish radiomics models to predict the LVI status in ESCC, and the best model was selected to calculate Radscore, which combined with two clinical CT predictors to build a combined model. The clinical model was also developed by using logistic regression. The receiver characteristic curve (ROC) and decision curve (DCA) analysis were used to evaluate the model performance in predicting the LVI status in ESCC.ResultsIn the radiomics model, Sphericity and gray-level non-uniformity (GLNU) were the most significant radiomics features for predicting LVI. In the clinical model, the maximum tumor thickness based on CECT (cThick) in patients with LVI was significantly greater than that in patients without LVI (P<0.001). Patients with LVI had higher clinical N stage based on CECT (cN stage) than patients without LVI (P<0.001). The ROC analysis showed that both the radiomics model (AUC values were 0.847 and 0.826 in the training and testing cohort, respectively) and the combined model (0.876 and 0.867, respectively) performed better than the clinical model (0.775 and 0.798, respectively), with the combined model exhibiting the best performance.ConclusionsThe combined model incorporating radiomics features and clinical CT predictors may potentially predict the LVI status in ESCC and provide support for clinical treatment decisions.

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Section: Introductionmentioning

confidence: 99%

Contrast-Enhanced CT-Based Radiomics Analysis in Predicting Lymphovascular Invasion in Esophageal Squamous Cell Carcinoma

Wang

Yang

et al. 2021

Front. Oncol.

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“…In another recent study, the false-positive rate for the total population was 8.5% on CT scan and 7.7%, 9.0% and 8.7% in stages I, II and III, respectively (11). Due to the retrospective nature of our study, we were not able to accurately determine the false-negative and falsepositive rate of each imaging modality.…”

Section: The Prevalence Of Metastases and Corresponding Confidence Inmentioning

confidence: 71%

“…In our study, the prevalence of metastases in pT2pN1 (stage IIB) was 3.49% (95% CI=1.96-6.14%) in the analysis of M1 and 6.35% (95% CI=4.15-9.60%) in the analysis of M1 12 . Given a false-positive rate of 9-14% in stage II breast cancer, the risk of overdiagnosing metastasis is higher than the chance of detecting true metastatic disease (11,17,18). For pT2pN1, the benefit of baseline staging must be carefully weighed against the potential disadvantages.…”

Section: The Prevalence Of Metastases and Corresponding Confidence Inmentioning

confidence: 99%

The Benefit of Baseline Staging–Risk Assessment of Distant Breast Cancer Metastases by Tumor Stage

Rios

Adaskina

Frömke

et al. 2016

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“…; Tanaka et al . ). Mammography is the mainstay of surveillance imaging with 8–50% of ipsilateral recurrences and 18–80% of contralateral metachronous cancer detected by mammography alone (Arasu et al .…”

Section: Discussionmentioning

confidence: 97%

Optimisation of breast cancer patients' follow-up - potential way to improve cancer care in transitional countries

et al. 2016

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The aim of this analysis was to evaluate adherence of Croatian oncologists to follow-up criteria as suggested by the current national and international guidelines for women with breast cancer receiving adjuvant endocrine therapy. The use of clinical and diagnostic methods was documented in this prospective, non-interventional, multicenter study. A total of 438 post-menopausal patients receiving adjuvant endocrine treatment with non-steroidal aromatase inhibitors were included. Average annual frequency for each clinical and diagnostic method was calculated. Median adjuvant endocrine treatment duration before study recruitment was 10.5 months (interquartile 4.7-26.6). Patients were followed up for an average 23.5 ± 4.9 months. Average number of oncological visits was 5.3. Mammograms were performed at mean annual frequency of 0.7, chest radiographs at 0.5, abdominal ultrasounds at 0.9, breast ultrasounds at 1.2, complete blood counts and chemistry panels at 1.7, carcinoembryonic antigen at 0.8, cancer antigen 15-3 at 1.6, gynaecological examination at 0.3, and densitometry at mean annual frequency of 0.3. In conclusion, among post-menopausal women with breast cancer receiving adjuvant endocrine therapy in this study, more unnecessary and unproven follow-up procedures were done compared to the guidelines' recommendations.

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Use of contrast-enhanced computed tomography in clinical staging of asymptomatic breast cancer patients to detect asymptomatic distant metastases

Cited by 15 publications

References 12 publications

Contrast-Enhanced CT-Based Radiomics Analysis in Predicting Lymphovascular Invasion in Esophageal Squamous Cell Carcinoma

Contrast-Enhanced CT-Based Radiomics Analysis in Predicting Lymphovascular Invasion in Esophageal Squamous Cell Carcinoma

The Benefit of Baseline Staging–Risk Assessment of Distant Breast Cancer Metastases by Tumor Stage

Optimisation of breast cancer patients' follow-up - potential way to improve cancer care in transitional countries

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