A clinicopathological-imaging nomogram for the prediction of pathological complete response in breast cancer cases administered neoadjuvant therapy.

OBJECTIVE: To construct a user-friendly nomogram with MRI and clinicopathological parameters for the prediction of pathological complete response (pCR) after neoadjuvant therapy (NAT) in patients with breast cancer (BC). METHODS: We retrospectively enrolled consecutive female patients pathologically confirmed with breast cancer who received NAT followed by surgery between January 2018 and December 2022 as the development cohort. Additionally, we prospectively collected eligible candidates between January 2023 and December 2023 as an external validation group at our institution. Pretreatment MRI features and clinicopathological variables were collected, and the pre- and post-treatment background parenchymal enhancement (BPE) and the changes in BPE on two MRIs were compared between patients who achieved pCR and those who did not. Multivariable logistic regression analysis was used to identify independent variables associated with pCR in the development cohort. These independent variables were combined into a predictive nomogram for which performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration plot, decision curve analysis, and external validation. RESULTS: In the development cohort, there were a total of 276 female patients with a mean age of 48.3 ± 8.7 years, while in the validation cohort, there were 87 female patients with a mean age of 49.0 ± 9.5 years. Independent prognostic factors of pCR included small tumor size, HER2(+), high Ki-67 index,high signal enhancement ratio (SER), low minimum value of apparent diffusion coefficient (ADCmin), and significantly decreased BPE after NAT(change of BPE). The nomogram, which incorporates the above parameters, demonstrated excellent predictive performance in both the development and external validation cohorts, with AUC values of 0.900 and 0.850, respectively. Additionally, the nomogram showed excellent calibration capacities, as indicated by Hosmer-Lemeshow test p values of 0.508 and 0.423 in the two cohorts. Furthermore, the nomogram provided greater net benefits compared to the default simple schemes in both cohorts. CONCLUSION: A nomogram constructed using tumor size, HER2 status, Ki-67 index, SER, ADCmin, and changes in pre- and post-NAT BPE demonstrated strong predictive performance, calibration ability, and greater net benefits for predicting pCR in patients with BC after NAT. This suggests that the user-friendly nomogram could be a valuable imaging biomarker for identifying suitable candidates for NAT.

The features associated with mammography-occult MRI-detected newly diagnosed breast cancer analysed by comparing machine learning models with a logistic regression model.

PURPOSE: To compare machine learning (ML) models with logistic regression model in order to identify the optimal factors associated with mammography-occult (i.e. false-negative mammographic findings) magnetic resonance imaging (MRI)-detected newly diagnosed breast cancer (BC). MATERIAL AND METHODS: The present single-centre retrospective study included consecutive women with BC who underwent mammography and MRI (no more than 45 days apart) for breast cancer between January 2018 and May 2023. Various ML algorithms and binary logistic regression analysis were utilized to extract features linked to mammography-occult BC. These features were subsequently employed to create different models. The predictive value of these models was assessed using receiver operating characteristic curve analysis. RESULTS: This study included 1957 malignant lesions from 1914 patients, with an average age of 51.64 ± 9.92 years and a range of 20-86 years. Among these lesions, there were 485 mammography-occult BCs. The optimal features of mammography-occult BC included calcification status, tumour size, mammographic density, age, lesion enhancement type on MRI, and histological type. Among the different ML models (ANN, L1-LR, RF, and SVM) and the LR-based combined model, the ANN model with RF features was found to be the optimal model. It demonstrated the best discriminative performance in predicting mammography false- negative findings, with an AUC of 0.912, an accuracy of 86.90%, a sensitivity of 85.85%, and a specificity of 84.18%. CONCLUSION: Mammography-occult MRI-detected breast cancers have features that should be considered when performing breast MRI to improve the detection rate for breast cancer and aid in clinician management.

Prospective, naturalistic study of open-label OROS methylphenidate treatment in Chinese school-aged children with attention-deficit/hyperactivity disorder.

BACKGROUND: Attention deficit hyperactivity disorder (ADHD) is one of the most common mental disorders during childhood, characterized by the core symptoms of hyperactivity, impulsivity and inattention and puts great burden on children themselves, their families and the society. Osmotic release oral system methylphenidate (OROS-MPH) is a once-daily controlled-release formulation developed to overcome some of the limitations associated with immediate-release methylphenidate (IR-MPH). It has been marketed in China since 2005 but still lacks data from large-sample clinical trials on efficacy and safety profiles. The aim of this study was to evaluate the effectiveness and safety of OROS-MPH in children aged 6 to 16 years with ADHD under naturalistic clinical setting. METHODS: This 6-week, multi-center, prospective, open-label study enrolled 1447 ADHD children to once-daily OROS-MPH (18 mg, 36 mg or 54 mg) treatment. The effectiveness measures were parent-rated Inattention and Overactivity With Aggression (IOWA) Conners I/O and O/D subscales, physician-rated CGI-I and parent-rated global efficacy assessment scale. Blood pressure, pulse rate measurement, adverse events (AEs) and concomitant medications and treatment review were conducted by the investigator and were served as safety measures. RESULTS: A total of 1447 children with ADHD (mean age (9.52 ± 2.36) years) were enrolled in this trial. Totally 96.8% children received an OROS-MPH modal dose of 18 mg, 3.1% with 36 mg and 0.1% with 54 mg at the endpoint of study. The parent IOWA Conners I/O score at the end of week 2 showed statistically significant (P < 0.001) improvement with OROS-MPH (mean: 6.95 ± 2.71) versus the score at baseline (10.45 ± 2.72). The change in the parent IOWA Conners O/D subscale, CGI-I and parent-rated global efficacy assessment scale also supported the superior efficacy for OROS-MPH treatment. Fewer than half of 1447 patients (511(35.3%)) reported AEs, and the majority of the events reported were mild (68.2%). No serious adverse events were reported during the study. CONCLUSION: This open-label, naturalistic study provides further evidence of effectiveness and safety of OROS-MPH in school-aged children under routine practice.