Nomogram for the preoperative prediction of Ki-67 expression and prognosis in stage IA lung adenocarcinoma based on clinical and multi-slice spiral computed tomography features.

OBJECTIVE: This study developed and validated a nomogram utilizing clinical and multi-slice spiral computed tomography (MSCT) features for the preoperative prediction of Ki-67 expression in stage IA lung adenocarcinoma. Additionally, we assessed the predictive accuracy of Ki-67 expression levels, as determined by our model, in estimating the prognosis of stage IA lung adenocarcinoma. MATERIALS AND METHODS: We retrospectively analyzed data from 395 patients with pathologically confirmed stage IA lung adenocarcinoma. A total of 322 patients were divided into training and internal validation groups at a 6:4 ratio, whereas the remaining 73 patients composed the external validation group. According to the pathological results, the patients were classified into high and low Ki-67 labeling index (LI) groups. Clinical and CT features were subjected to statistical analysis. The training group was used to construct a predictive model through logistic regression and to formulate a nomogram. The nomogram's predictive ability and goodness-of-fit were assessed. Internal and external validations were performed, and clinical utility was evaluated. Finally, the recurrence-free survival (RFS) rates were compared. RESULTS: In the training group, sex, age, tumor density type, tumor-lung interface, lobulation, spiculation, pleural indentation, and maximum nodule diameter differed significantly between patients with high and low Ki-67 LI. Multivariate logistic regression analysis revealed that sex, tumor density, and maximum nodule diameter were significantly associated with high Ki-67 expression in stage IA lung adenocarcinoma. The calibration curves closely resembled the standard curves, indicating the excellent discrimination and accuracy of the model. Decision curve analysis revealed favorable clinical utility. Patients with a nomogram-predicted high Ki-67 LI exhibited worse RFS. CONCLUSION: The nomogram utilizing clinical and CT features for the preoperative prediction of Ki-67 expression in stage IA lung adenocarcinoma demonstrated excellent performance, clinical utility, and prognostic significance, suggesting that this nomogram is a noninvasive personalized approach for the preoperative prediction of Ki-67 expression.

Application of MSCT characteristic nomogram model in predicting invasion of pancreatic solid pseudopapillary neoplasms.

OBJECTIVE: To evaluate the value of multi-slice computed tomography (MSCT) characteristic nomogram model in predicting invasion of pancreatic solid pseudopapillary neoplasms (pSPN). METHODS: From January 2016 to January 2021, the clinical characteristics, pathology and imaging data of 114 patients with pSPN were retrospectively analyzed. 42 cases were classified in invasive group while 72 cases in non-invasive group. The tumor location, shape, growth pattern, growth angle, margin calcification, floating cloud sign, annular enhancement, pancreatic and bile duct dilation, distal pancreatic atrophy, capsule, cystic degeneration and cystic to solid ratio between the two groups were analyzed. The maximum diameter and the CT value of the solid parts in the lesion were measured. RESULTS: There were significant differences in tumor shape, growth pattern, margin, annular enhancement, capsule, CT value in arterial phase and venous phase (P < 0.05). There was no significant difference in tumor location, growth angle, calcification, floating cloud sign, pancreatic and bile duct dilation, distal pancreatic atrophy, cystic degeneration, cystic-solid ratio and CT value of lesion in plain scan (P > 0.05). The independent predictors of pSPN invasion included growth pattern, annular enhancement, capsule, and CT value of lesion in arterial phase. A nomogram model was successfully established to predict the invasion of pSPN. The area under the receiver operating characteristic curve was 0.888, and the calibration prediction curve was in good agreement with the standard curve. CONCLUSION: The nomogram model based on MSCT features has high application value in preoperative prediction of tumor invasion of pancreatic solid pseudopapillary neoplasms.

Iodine concentration and content measured by dual-source computed tomography are correlated to thyroid hormone levels in euthyroid patients: a cross-sectional study in China.

BACKGROUND: The aim of this study was to investigate the correlation of the dual energy CT measured iodine concentration and total iodine content with blood measured thyroid parameters. METHODS: Forty-three patients with normal thyroid function at our hospital from August 2017 to October 2019 were included in this retrospective study. Dual energy CT was used to scan the neck of thyroid patients. The mean iodine concentration and thyroid tissue volume were measured to calculate the total iodine content of the thyroid. Relevant tests of triiodothyronine (FT3), total triiodothyronine (TT3), total thyroxine (TT4), free thyroxine (FT4), and thyroid hormone (TSH) were conducted. The correlation of the thyroid mean iodine concentration and total iodine content with blood-measured thyroid function was analysed. RESULT: The total iodine content in the thyroid was positively correlated with FT3 but negatively correlated with TSH. The mean iodine concentration of the thyroid was positively correlated with both FT3 and TT3. CONCLUSION: The thyroid iodine content measured by dual energy CT can be used to determine the human iodine nutritional status and evaluate thyroid function, which will facilitate the diagnosis and treatment of thyroid diseases.

Emergency radiology fellowship training in the USA: a web-based survey of academic programs.

Interest in emergency radiology as a distinct subspecialty within radiology continues to rise in the USA and globally. While acute care imaging has been performed since the earliest days of the specialty, fellowship training in emergency radiology is a relatively new phenomenon. The purpose of this study was to examine the current status of emergency radiology training in the USA, using data derived from the official websites of US residency training programs. The most current list of radiology residency programs participating in the 2017 match was obtained from the official Electronic Residency Application Service (ERAS) website. The total number of emergency radiology fellowships was recorded after visiting available websites of each academic radiology program. The total number of subspecialty fellowships offered by each academic radiology program was also recorded. There were 12 confirmed emergency radiology fellowships offered in the USA for a combined total of 22 fellowship positions. Eleven programs were 1 year in duration, with one program offering a one- or two-year option. One hundred eight of the 174 (approximately 62 %) surveyed academic radiology programs offered at least one subspecialty fellowship. Emergency radiology fellowships are on the rise, paralleling the growth of emergency radiology as a distinct subspecialty within radiology.