A hypothetical approach on gender differences in cancer diagnosis

Sak, Katrin

doi:10.2478/jtim-2019-0020

Cited by 11 publications

(8 citation statements)

References 20 publications

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“…Second, only CT images were used to perform the radiomics analyses. Clinical parameters should be incorporated in future studies[ 29 ]. Third, the ROIs in each image were manually segmented, which is time-consuming.…”

Section: Discussionmentioning

confidence: 99%

Radiomics model for distinguishing tuberculosis and lung cancer on computed tomography scans

Cui

Shang

et al. 2020

WJCC

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BACKGROUND Pulmonary tuberculosis (TB) and lung cancer (LC) are common diseases with a high incidence and similar symptoms, which may be misdiagnosed by radiologists, thus delaying the best treatment opportunity for patients. AIM To develop and validate radiomics methods for distinguishing pulmonary TB from LC based on computed tomography (CT) images. METHODS We enrolled 478 patients (January 2012 to October 2018), who underwent preoperative CT screening. Radiomics features were extracted and selected from the CT data to establish a logistic regression model. A radiomics nomogram model was constructed, with the receiver operating characteristic, decision and calibration curves plotted to evaluate the discriminative performance. RESULTS Radiomics features extracted from lesions with 4 mm radial dilation distances outside the lesion showed the best discriminative performance. The radiomics nomogram model exhibited good discrimination, with an area under the curve of 0.914 (sensitivity = 0.890, specificity = 0.796) in the training cohort, and 0.900 (sensitivity = 0.788, specificity = 0.907) in the validation cohort. The decision curve analysis revealed that the constructed nomogram had clinical usefulness. CONCLUSION These proposed radiomic methods can be used as a noninvasive tool for differentiation of TB and LC based on preoperative CT data.

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Section: Discussionmentioning

confidence: 99%

Radiomics model for distinguishing tuberculosis and lung cancer on computed tomography scans

Cui

Shang

et al. 2020

WJCC

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“…Approximately 30%-50% of patients with CRC develop simultaneous or metachronous CLM. Liver metastasis has become one of the leading causes of death in patients with CRC[ 10 - 15 ]. The MDT team conducted a comprehensive evaluation of patients with CLM, individually formulated treatment plans, carried out corresponding comprehensive treatments, and improved the 5-year survival rate[ 16 ].…”

Section: Discussionmentioning

confidence: 99%

Prognostic factors and therapeutic effects of different treatment modalities for colorectal cancer liver metastases

Wang

Wei

et al. 2020

WJGO

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BACKGROUND Colorectal cancer (CRC) is one of the most common malignant tumors in China, and the liver is the most common metastatic site in patients with advanced CRC. Hepatectomy is the gold standard treatment for colorectal liver metastases. For patients who cannot undergo radical resection of liver metastases for various reasons, ablation therapy, interventional therapy, and systemic chemotherapy can be used to improve their quality of life and prolong their survival time. AIM To explore the prognostic factors and treatments of liver metastases of CRC. METHODS A retrospective analysis was conducted on 87 patients with liver metastases from CRC treated at the Liaoning Cancer Hospital and Institute between January 2005 and March 2011. According to different treatments, the patients were divided into the following four groups: Surgical resection group (36 patients); ablation group (23 patients); intervention group (15 patients); and drug group (13 patients). The clinicopathological data and postoperative survival of the four groups were analyzed. The Kaplan-Meier method was used for survival analysis, and the Cox proportional hazards regression model was used for multivariate analysis. RESULTS The median survival time of the 87 patients was 38.747 ± 3.062 mo, and the 1- and 3-year survival rates were 87.5% and 53.1%, respectively. The Cox proportional hazards model showed that the following factors were independent factors affecting prognosis: The degree of tumor differentiation, the number of metastases, the size of metastases, and whether the metastases are close to great vessels. The results of treatment factor analysis showed that the effect of surgical treatment was better than that of drugs, intervention, or ablation alone, and the median survival time was 48.83 ± 4.36 mo. The drug group had the worst prognosis, with a median survival time of only 13.5 ± 0.7 mo ( P < 0.05). For patients with liver metastases of CRC near the great vessels, the median survival time (27.3 mo) of patients undergoing surgical resection was better than that of patients using other treatments (20.6 mo) ( P < 0.05). CONCLUSION Patients with a low degree of primary tumor differentiation, multiple liver metastases (number of tumors > 4), and maximum diameter of liver metastases > 5 cm have a poor prognosis. Among drug therapy, intervention, ablation, and surgical treatment options, surgical treatment is the first choice for liver metastases. When liver metastases are close to great vessels, surgical treatment is significantly better than drug therapy, intervention, and ablation alone.

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“…They are also suitable for use in high-throughput drug screening, which suggests that organoids can serve as research models for personalized therapies. [ 35 ]…”

Section: Establishment Of Gastric Cancer Organoid Biobankmentioning

confidence: 99%

EUS-guided fine-needle technique facilitates the establishment of organoid biobanks

et al. 2020

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A hypothetical approach on gender differences in cancer diagnosis

Abstract: How to cite this article: Sak K. A hypothetical approach on gender differences in cancer diagnosis.

Cited by 11 publications

References 20 publications

Radiomics model for distinguishing tuberculosis and lung cancer on computed tomography scans

Radiomics model for distinguishing tuberculosis and lung cancer on computed tomography scans

Prognostic factors and therapeutic effects of different treatment modalities for colorectal cancer liver metastases

EUS-guided fine-needle technique facilitates the establishment of organoid biobanks

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