[Purpose]To analyze the incidence and mortality rates of female breast cancer in Henan Province in 2020 and the trends from 2010 to 2020.[Methods]Breast cancer incidence and mor-tality data stratified by urban and rural areas and age groups were collected from Henan Provincial tumor registry,and the province's household population statistics were used.The crude incidence/mortality rate,age-standardized incidence/mortality rate by Chinese standard population(ASIRC/ASMRC)and world standard population(ASIRW/ASMRW),cumulative rate(0～74 year old)were calculated.The annual percentage change(APC),average annual percentage change(AAPC)and 95％confidence interval(CI)were calculated using Joinpoint software to analyze the trends of the incidence and mortality from 2010 to 2020.[Results]In 2020,24 744 new cases and 4 989 deaths of female breast cancer were documented in Henan Province,with a crude incidence rate of 46.96/105,ASIRC of 38.43/105 and ASIRW of 35.71/105;a crude mortality rate of 9.47/105,ASMRC of 6.80/105 and ASMRW of 6.72/105,respectively.The above indicators in urban areas were signifi-cantly higher than those in rural areas.The highest incidence was observed in the age group of 50～54 years old,while the highest mortality reached in the age group of 85 years old and above.From 2010 to 2020,the overall incidence of female breast cancer showed a slow upward trend(AAPC=2.09％,95％CI:0.62％～3.58％,P=0.010),while the mortality rate exhibited a signif-icant downward trend(AAPC=-3.49％,95％CI:-5.62％～-1.30％,P=0.005).[Conclusion]The incidence and mortality rates of female breast cancer in Henan Province are still at a high level,and corresponding preventive measures and control strategies are needed to effectively reduce the health hazards of breast cancer to women.

Transarterial radioembolization (TARE) is a widely utilized therapeutic approach for hepatocellular carcinoma (HCC), however, the clinical implementation is constrained by the stringent preparation conditions of radioembolization agents. Herein, we incorporated the superstable homogeneous iodinated formulation technology (SHIFT), simultaneously utilizing an enhanced solvent form in a carbon dioxide supercritical fluid environment, to encapsulate radionuclides (such as ¹³¹I,¹⁷⁷Lu, or ¹⁸F) with lipiodol for the preparation of radiolipiodol. The resulting radiolipiodol exhibited exceptional stability and ultra-high labeling efficiency (≥99%) and displayed notable intratumoral radionuclide retention and in vivo stability more than 2 weeks following locoregional injection in subcutaneous tumors in mice and orthotopic liver tumors in rats and rabbits. Given these encouraging findings, ¹⁸F was authorized as a radiotracer in radiolipiodol for clinical trials in HCC patients, and showed a favorable tumor accumulation, with a tumor-to-liver uptake ratio of ≥50 and minimal radionuclide leakage, confirming the feasibility of SHIFT for TARE applications. In the context of transforming from preclinical to clinical screening, the preparation of radiolipiodol by SHIFT represents an innovative physical strategy for radionuclide encapsulation. Hence, this work offers a reliable and efficient approach for TARE in HCC, showing considerable promise for clinical application (ChiCTR2400087731).

[Purpose]To analyze the incidence and mortality rates of female breast cancer in Henan Province in 2020 and the trends from 2010 to 2020.[Methods]Breast cancer incidence and mor-tality data stratified by urban and rural areas and age groups were collected from Henan Provincial tumor registry,and the province's household population statistics were used.The crude incidence/mortality rate,age-standardized incidence/mortality rate by Chinese standard population(ASIRC/ASMRC)and world standard population(ASIRW/ASMRW),cumulative rate(0～74 year old)were calculated.The annual percentage change(APC),average annual percentage change(AAPC)and 95％confidence interval(CI)were calculated using Joinpoint software to analyze the trends of the incidence and mortality from 2010 to 2020.[Results]In 2020,24 744 new cases and 4 989 deaths of female breast cancer were documented in Henan Province,with a crude incidence rate of 46.96/105,ASIRC of 38.43/105 and ASIRW of 35.71/105;a crude mortality rate of 9.47/105,ASMRC of 6.80/105 and ASMRW of 6.72/105,respectively.The above indicators in urban areas were signifi-cantly higher than those in rural areas.The highest incidence was observed in the age group of 50～54 years old,while the highest mortality reached in the age group of 85 years old and above.From 2010 to 2020,the overall incidence of female breast cancer showed a slow upward trend(AAPC=2.09％,95％CI:0.62％～3.58％,P=0.010),while the mortality rate exhibited a signif-icant downward trend(AAPC=-3.49％,95％CI:-5.62％～-1.30％,P=0.005).[Conclusion]The incidence and mortality rates of female breast cancer in Henan Province are still at a high level,and corresponding preventive measures and control strategies are needed to effectively reduce the health hazards of breast cancer to women.

Objective To investigate the imaging findings of craniocervical adenoid cystic carcinoma(ACC)with invading adjacent tissues,neural foramen and tube.Methods The CT and MR imaging features of 33 cases of craniocervical ACC with invading adja-cent tissues,neural foramen and tube of the basis cranii were analyzed retrospectively and compared with surgical and pathological results.Results Among 33 cases of ACC,17 cases were located in the nasal cavity,sinuses and nasopharynx(including 3 cases of recur-rence after surgery),8 cases in salivary gland,5 cases in lacrimal gland and lacrimal sac,and 3 cases in external auditory canal.Tumors invaded and destroyed adjacent muscle bundles,spaces,nasal cavity,sinuses,and bone walls in 16 cases,invaded pterygopala-tine fossa in 9 cases,pterygoid canal in 7 cases,foramen rotundum in 6 cases,foramen ovale in 5 cases,nasolacrimal duct in 3 cases,foramina stylomastoideum in 2 cases and external auditory canal in 3 cases(a total of 35 foramen and tubes).When the tumor inva-ded the adjacent muscle bundles,spaces,nasal cavity,sinuses and basis cranii,CT or MR showed the thickening of the surrounding tissues,with the density/signal abnormalities and obvious enhancement.When the tumor invaded the adjacent bone,cartilage,neural foramen and tube,CT displayed the thickening,thinning,or loss of the bone wall,as well as the enlargement of neural foramen and tube,wall thickening,and bone destruction.Conclusion CT and MR can show the imaging features of multiple small vesicles and ethmoid structures in the craniocervical ACC,as well as the invasion of adjacent tissues and the destruction of basis cranii,maxillofa-cial nerve foramen and tube,which are of great significance for the imaging diagnosis and surgical treatment of craniocervical ACC.

Objective:To explore the predictive value of low-dose biphasic (inspiratory and expiratory) CT air trapping sign and semi-quantitative score in predicting abnormal blood gas parameters and progression to severe disease in COVID-19 patients.Methods:Patients with non-severe COVID-19 who were diagnosed by nucleic acid testing and hospitalized in designated hospitals in Wuxi City from January 23 to February 29, 2020 were prospectively and consecutively recruited. All patients received low-dose biphasic CT examination on admission and repeated CT examination at regular intervals during the course. On the inspiratory phase admission of the bipolar CT, the scope of the lesion was evaluated by semi-quantitative score, and the air trapping sign on bipolar CT was assessed. The differences of semi-quantitative score, the presence of the air trapping sign and other clinical factors were compared between the patients with abnormal and the normal blood gas index, as well as between the cases progressed to severe disease and cases without disease progression using the independent sample t-test or χ 2 test. The area under the curve (AUC) of receiver operating characteristic (ROC) and the comprehensive discriminant improvement index (IDI) were used to evaluate the predictive effectiveness of the semi-quantitative scores, air trapping sign, and combination of two factors in differentiating cases with abnormal and normal blood gas indexes, as well as in differentiating cases with and without disease progression to severe COVID-19 cases. Results:In total 51 non-severe COVID-19 cases were included, with 16 cases showed air trapping sign during the first biphasic CT examination on admission. During the course of the disease, there were 13 patients with abnormal blood gas index, and 9 cases displaying air trapping sign (9/13). All 7 cases with progression to severe cases showed air trapping sign (7/7). Patients with advanced age, air trapping sign and higher semi-quantitative score were found more likely to have abnormal blood gas index ( t=3.10, χ 2=9.38, t=3.34, P<0.05); patients with advanced age, underlying diseases, air trapping sign and higher semi-quantitative score were more likely to develop into severe disease ( t=2.68, χ 2=6.65, χ 2=4.25, t=4.33, P<0.05). The AUC of semi-quantitative score, air trapping sign and combination of two factors in distinguishing abnormal blood gas index from normal blood gas index was 0.803, 0.754 and 0.794 respectively. The AUC of semi-quantitative score, air trapping sign and combination of two factors in distinguishing cases with progression to severe cases from non-progression was 0.881, 0.898 and 0.932, respectively. Air trapping sign combined with semi-quantitative score significantly improved the prediction effectiveness of disease progression, compared with semi-quantitative score or air trapping sign (IDI=0.271, 0.117). Conclusion:Air trapping sign and semi-quantitative score might be used as effective indicators to predict the progression of COVID-19 cases, and the combination of these two factors might be more helpful to predict the disease progression.

ABSTRACT: Meningiomas are the most common primary intracranial neoplasm with diverse pathological types and complicated clinical manifestations. The fifth edition of the WHO Classification of Tumors of the Central Nervous System (WHO CNS5), published in 2021, introduces major changes that advance the role of molecular diagnostics in meningiomas. To follow the revision of WHO CNS5, this expert consensus statement was formed jointly by the Group of Neuro-Oncology, Society of Neurosurgery, Chinese Medical Association together with neuropathologists and evidence-based experts. The consensus provides reference points to integrate key biomarkers into stratification and clinical decision making for meningioma patients. REGISTRATION Practice guideline REgistration for transPAREncy (PREPARE), IPGRP-2022CN234.
Humans ; Meningioma/pathology* ; Consensus ; Neurosurgical Procedures ; Meningeal Neoplasms/pathology*

Objective:To evaluate the effectiveness and safety of ultrasound-guided hydrostatic reduction for pediatric acute intussusception.Methods:One thousand eight hundred and thirty patients with acute intussusception diagnosed by ultrasound in Shenzhen Children′s Hospital from September 2017 to July 2020 were treated with ultrasound-guided hydrostatic reduction method. The therapeutic effects, complications and ultrasonic features were observed.Results:Among 1 830 cases, 1 791 cases were diagnosed as primary intussusception, and 39 cases were secondary intussusception. The overall rate of successful ultrasound enema reduction were 1 780/1 830(93.7%) patients. All 50/1 830(2.7%) patients underwent surgery after unsuccessful enema reduction, including 42 cases of primary intussusception, and 8 cases of secondary intussusception. The complication of intestinal perforation occurred in 3 cases (0.16%), and there were no deaths.Conclusions:Ultrasound-guided enema reduction for pediatric acute intussusception is an effective and safe method without radiation exposure, and can be used as the preferred method for non-operative treatment of intussusception.

Objective:To evaluate the development of children 2-4 years old with autism spectrum disorders (ASDs) using the Chinese version of the Griffiths Development Scales (GDS-C).Methods:Eighty-eight children with ASD, 80 children with developmental language disorder (DLD) and 82 healthy children aged 2-4 were evaluated using the GDS-C. They were compared and their development in sports, personal and social relationships, language, hand-eye coordination and other performance were analyzed. The personal-social and language results of the ASD and DLD children were compared.Results:No significant differences were found between the ASD and DLD children in their language development. The development quotient of the ASD children was significantly lower, on average, than those of the DLD and healthy children in all fields except language. However, the ASD children′s development was not balanced. Their average developmental quotients in the language and the personal-social fields were significantly lower than in the sports, performance and hand-eye coordination fields. In the field of language, the entry loss rates of the two structural modes of receptive language and non-verbal expression of the ASD children were significantly higher than the DLD children′s averages. In the personal-social field the entry loss rates of communication and housework skills and of self-care skill were significantly higher than the DLD children′s averages. The command structure model of the ASD children was also superior, on average.Conclusions:The GDS-C can effectively assess the development of ASD children aged 2-4, especially in terms of language and personal and social skills. It can provide clinical evidence useful for early diagnosis and intervention for children with ASD.

Objective:To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology.Methods:This was a retrospectively study. Newborn screening data ( n=5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data ( n=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates. The validity of the artificial intelligence disease risk prediction model was verified by 360 814 newborns ' screening data from January 2018 to September 2018 through a single-blind experiment. The effectiveness of the artificial intelligence disease risk prediction model was verified by comparing the detection rate of clinically confirmed cases, the positive rate of initial screening and the positive predictive value between the clinicians and the artificial intelligence prediction model of inherited metabolic diseases. Results:A total of 3 665 697 newborns ' screening data were collected including 3 019 cases ' positive data to establish the 16 artificial intelligence models for 32 inherited metabolic diseases. The single-blind experiment ( n=360 814) showed that 45 clinically diagnosed infants were detected by both artificial intelligence model and clinicians. A total of 2 684 cases were positive in tandem mass spectrometry screening and 1 694 cases were with high risk in artificial intelligence prediction model of inherited metabolic diseases, with the positive rates of tandem 0.74% (2 684/360 814)and 0.46% (1 694/360 814), respectively. Compared to clinicians, the positive rate of newborns was reduced by 36.89% (990/2 684) after the application of the artificial intelligence model, and the positive predictive values of clinicians and artificial intelligence prediction model of inherited metabolic diseases were 1.68% (45/2 684) and 2.66% (45/1 694) respectively. Conclusion:An accurate, fast, and the lower false positive rate auxiliary diagnosis system for neonatal inherited metabolic diseases by artificial intelligence technology has been established, which may have an important clinical value.