[Retracted] MRI Diagnosis and Pathological Examination of Axillary Lymph Node Metastasis in Breast Cancer Patients

Fu, Xiaodan; Jiang, Bingjing; Fu, Jieting; Jia, Jing-Fen

doi:10.1155/2022/4519982

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…Moreover, Jiang et al ( 18 ) found that shear-wave elastography and ultrasound image features were associated with ALN metastasis. Also, the experimental results that were reported by Fu et al ( 19 ) indicated that magnetic resonance imaging (MRI) is worthy of clinical promotion and usage, based on its ability to diagnose the ALN metastasis of BC. However, MRI was limited by factors such as high sensitivity and costs, low specificity, and the long time for preliminary diagnosis ( 20 ), so its diagnostic value was not discussed in this study.…”

Section: Introductionmentioning

confidence: 99%

Development and validation of an ultrasonography and clinicopathological features-based nomogram for non-sentinel lymph node metastasis

Chen¹,

Dai²,

Chen³

et al. 2023

Gland Surg

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Background: With the development of precise treatment for breast cancer, the current trend of clinical treatment aims to limit axillary surgery as much as possible. At present, there is an unmet need to predict the probability of patients with a low risk of non-sentinel lymph node (SLN) metastasis and determine whether the omission of axillary lymph node dissection (ALND) is appropriate. Methods: We retrospectively analyzed the data of patients with breast cancer who underwent sentinel lymph node biopsy (SLNB) and ALND. The patients were randomly assigned to training and validation sets. The associations between non-SLN metastasis (NSLNM) and ultrasonography and clinicopathological characteristics were assessed by multivariate logistic regression. Then, a nomogram model was constructed and validated using the calibration curve and the receiver operating characteristic curve. Results: Vascular infiltration, positive SLN number, negative SLN number, human epidermal growth factor receptor 2 (HER2) status, and lymph node shape were identified as independent predictive factors for positive NSLNM. The areas under the curve of the nomogram model to predict NSLNM were 0.793 and 0.780 in the training and validation sets, respectively, and P=0.161 and P=0.768 in the Hosmer-Lemeshow goodness of fit test, respectively. Conclusions: A nomogram model based on ultrasonography and clinicopathological features predicting NSLNM was established in our study, which is helpful for accurately assessing the risk of NSLNM in invasive breast cancer and providing evidence for individual surgical procedures involving axillary lymph nodes.

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Section: Introductionmentioning

confidence: 99%

Development and validation of an ultrasonography and clinicopathological features-based nomogram for non-sentinel lymph node metastasis

Chen¹,

Dai²,

Chen³

et al. 2023

Gland Surg

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“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”

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confidence: 99%

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confidence: 99%

Retracted: MRI Diagnosis and Pathological Examination of Axillary Lymph Node Metastasis in Breast Cancer Patients

2023

Contrast Media & Molecular Imaging

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Correlation of Magnetic Resonance Imaging and Computed Tomography with Biological Factor Expression and Lymph Node Metastasis in Aggressive Prostate Cancer

Ji,

Liu,

Chen

et al. 2024

Urol Int

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Objective: This paper focused on probing the correlation of magnetic resonance imaging (MRI) and computed tomography (CT) manifestations with biological factor expression and lymph node metastasis (LNM) in aggressive prostate cancer (PCa). Methods: A total of 136 PCa patients underwent surgical treatment, and received CT and MRI examinations before surgery, whereby the apparent diffusion coefficient (ADC) values of quantitative MRI (qMRI) parameters were obtained. Patients were categorized into the non-aggressive PCa group and aggressive PCa group according to the postoperative pathological results and Gleason scores. The expression of biological factors [prostate-specific antigen (PSA), proliferating cell nuclear antigen (PCNA), p27, and ki-67] in both groups was tested. CT and MRI manifestations of aggressive PCa patients were analyzed. The qMRI parameters, biological factors levels and LNM were compared in two groups; the relationships between CT and MRI manifestations, qMRI parameters and positive expression of biological factors and LNM were probed in two groups. Results: In the aggressive PCa group, MRI and CT presented different degrees of abnormal prostate changes. In the aggressive PCa group, PSA and p27 expression and ADC values were lower, and PCNA and ki-67, and LNM rates were higher. Patients' LNM rate was higher than that of ≤ 2 cm when the tumor diameter was > 2 cm. ADC values were positively correlated with PSA and p27 positive expression, and negatively correlated with PCNA, ki-67 and LNM in the aggressive PCa group. Conclusion: MRI and CT manifestations of aggressive PCa had certain characteristics; MRI manifestations and qMRI possessed a correlation with biological factors and LNM; ADC could be employed to assess the aggressiveness of PCa.

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[Retracted] MRI Diagnosis and Pathological Examination of Axillary Lymph Node Metastasis in Breast Cancer Patients

Cited by 4 publications

References 13 publications

Development and validation of an ultrasonography and clinicopathological features-based nomogram for non-sentinel lymph node metastasis

Development and validation of an ultrasonography and clinicopathological features-based nomogram for non-sentinel lymph node metastasis

Retracted: MRI Diagnosis and Pathological Examination of Axillary Lymph Node Metastasis in Breast Cancer Patients

Correlation of Magnetic Resonance Imaging and Computed Tomography with Biological Factor Expression and Lymph Node Metastasis in Aggressive Prostate Cancer

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