ObjectiveTo investigate the relation between mammographic density (MD) and the efficacy of neoadjuvant chemotherapy (NACT) for patients with breast cancer. MethodsThe clinicopathologic data of patients diagnosed with breast cancer in the Affiliated Hospital of Southwest Medical University from January 2019 to December 2021 and met the inclusion and exclusion criteria of this study were collected. According to the 5th edition of the Breast Imaging-Reporting and Data System, the MD was classified into 4 categories: a, b, c, and d. Based on the pathological evaluation systems of Miller-Payne and Residual Cancer Burden, the new and improved pathological criteria was structured including the residual cancer cell and lymph node statuses to evaluate the pathological changes of breast cancer after NACT. After adjusting the factors affecting MD, the original model (only including MD categories as independent variables), the minimum adjustment model (adding age, body mass index, and menopausal status as independent variables), and the fully adjusted model (further including estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, Ki-67, axillary lymph node status at the initial diagnosis, and NACT regimen) were used to analyze the relation between MD and NACT effect. In the 3 models, the MD category a was used as the reference. ResultsA total of 287 patients with breast cancer were enrolled in this study. Thirty-eight, 76, 114, and 59 of whom with MD category a, b, c, and d respectively, and 14, 74, 117, and 82 of whom with grade L1, L2, L3, and L4 of NACT effect respectively. No matter in integrated patients or premenopausal patients, the results of the fully adjusted model showed that, the regression coefficient of MD classification was negative, and with the increase of MD classification, the odds ratio was <1 and showed a decreasing trend. ConclusionsFrom the results of this study, the increase of MD classification may have a negative impact on the effect of NACT. Namely, effect of NACT is poor in integrated patients or premenopausal patients of whom with higher MD. MD can be used as a predictor of NACT effect, so as to guide doctors in the selection and individual management of neoadjuvant therapy, and improve the prognosis of patients with breast cancer.
Objective To explore the accuracy of contrast-enhanced magnetic resonance imaging (MRI) in predicting pathological complete remission (pCR) in breast cancer patients after neoadjuvant therapy (NAC). Methods The clinicopathological data of 245 patients with invasive breast cancer who had completed the surgical resection after NAC in the Affiliated Hospital of Southwest Medical University from March 2020 to April 2022 were collected retrospectively. According to the results of hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) detected by immunohistochemistry, all patients were divided into four subgroups: HR+/HER2–, HR+/HER2+, HR–/HER2+ and HR–/HER2–. The value of MRI in evaluating the efficacy of NAC was analyzed by comparing the postoperative pathological results as the gold standard with the residual tumor size assessed by preoperative MRI. Meanwhile, the sensitivity, specificity and positive predictive value (PPV) of pCR predicted by the evaluation results of enhanced MRI were analyzed, and further analyzed its predictive value for pCR of different subtypes of breast cancer. Results There were 88 cases (35.9%) achieved radiological complete response (rCR) and 106 cases (43.3%) achieved pCR in 245 patients. Enhanced MRI in assessing the size of residual tumors overestimated and underestimated 12.7% (31/245) and 9.8% (24/245) of patients, respectively. When setting rCR as the MRI assessment index the specificity, sensitivity and PPV were 84.2% (117/139), 62.3% (66/106) and 75.0% (66/88), respectively. When setting near-rCR as the MRI assessment index the specificity, sensitivity and PPV were 70.5% (98/139), 81.1% (86/106), and 67.7% (86/127), respectively. The positive predictive value of both MRI-rCR and MRI-near-rCR in evaluating pCR of each subtype subgroup of breast cancer was the highest in the HR–/HER2+ subgroup (91.7% and 83.3%, respectively). In each subgroup, compared with rCR, the specificity of near-rCR to predict pCR decreased to different degrees, while the sensitivity increased to different degrees. Conclusions Breast contrast-enhanced MRI can more accurately evaluate the efficacy of localized breast lesions after NAC, and can also more accurately predict the breast pCR after NAC. The HR–/HER2+ subgroup may be a potentially predictable population with pCR exemption from breast surgery. However, the accuracy of the evaluation of pCR by breast enhancement MRI in HR+/HER2– subgroup is low.
ObjectiveTo find out the diagnostic power and correlation between platelet-related parameters and inflammatory indicators in acute pancreatitis patients with different severity.MethodsA total of 88 patients with acute pancreatitis diagnosed in West China Hospital of Sichuan University from January 2019 to August 2019 were enrolled in the retrospective study, including 58 mild acute pancreatitis patients and 30 severe acute pancreatitis patients. The patients’ platelet-related parameters and inflammatory indicators were collected. The platelet parameters and inflammatory indicators in different severity acute pancreatitis groups were compared and the diagnostic power and correlation were analyzed.ResultsThe platelet count and plateletcrit of the severe group were lower than those of the mild group, the difference was statistically significant (Z=–5.502, –3.673; P<0.001). The immature platelet fraction, platelet distribution width, mean platelet volume and platelet-large cell ratio levels of the severe group were higher than those of the mild group (Z=–4.217, –2.998, –3.754, –3.816; P<0.05). Platelet-related parameters platelet count, immature platelet fraction, platelet distribution width, mean platelet volume, platelet-large cell ratio, plateletcrit and inflammatory indicators procalcitonin, interleukin-6 showed good diagnostic power with areas under under receiver operating characteristic curves greater than 0.75 in differentiating the severity of acute pancreatitis. Correlation analysis showed that immature platelet fraction was positively correlated with procalcitonin and interleukin-6 levels in patients with acute pancreatitis (rs=0.457, 0.385; P<0.05).ConclusionsImmature platelet fraction is correlated with the severity of acute pancreatitis, and positively correlated with the levels of inflammatory indicators procalcitonin and interleukin-6.