Objective To systematically evaluate the psychometric properties of specific self-reported outcome assessment tools for patients undergoing Endoscopic Transnasal Transsphenoidal Surgery(ETTS),with the aim of pro-viding clinical healthcare professionals with evidence to guide the selection of appropriate assessment tools.Methods A systematic search was performed across multiple databases,including the North American Skull Base Society,PubMed,Embase,CINAHL,Web of Science,Cochrane Library,CNKI,VIP database,Wanfang database,and the China Biomedical Literature Database,for studies published from the inception of each database to January 9,2025,that are related to ETTS-specific symptom assessment tools.Totally 2 independent researchers screened the literature and extracted relevant data.The consensus-based health measurement tool selection bias risk checklist and quality standards were used to evaluate the methodological quality and psychometric properties of the included studies,which helped to form the development of recommendations.Results A total of 11 articles were included,covering 8 specific self-reported outcome assessment tools for patients undergoing endonasal transsphenoidal pituitary tumor resection.Of these,the Pituitary Outcome Score and the Leiden Bother and Needs Questionnaire for patients with pituitary disease 2 tools were rated as Grade A recommendations,and 6 tools were rated as Grade B recommendations.Conclusion POS and LBNQ-Pituitary are recommended due to their relatively strong overall methodological quality and psychometric properties.However,further validation with larger sample sizes is necessary.

Objective:In carbon ion treatment planning of water phantom, establish a conversion factor calculation system and conversion factor curves for organs at risk (OAR) for microdosimetric kinetic models (MKM) and local effect models (LEM), and validate them in clinical patient planning.Methods:Using a uniform spherical water phantom as the research object, relative biological effectiveness-weighted doses (RWD) for the LEM were re-calculated based on the physical dose of RayStation-MKM. The median dose within the planning target volume (PTV) of LEM and MKM was regarded as the conversion factor. The impacts of single-fraction target prescription dose, spread-out Bragg peak (SOBP) width and depth, shape, and irradiation mode on the conversion factor were assessed, and a conversion factor calculation system was established. Additionally, the accuracy of the conversion factor calculation system was validated using both water phantoms and clinical patient cases. The conversion factor curves for OAR were computed based on clinical patient treatment plans.Results:The primary influencing factors for the conversion factors were the single-fraction prescription dose, target SOBP width and depth. The conversion factors were increased with the increase of SOBP width and target depth, whereas decreased with the increase of the single-fraction prescription dose. Under single-field irradiation, a conversion factor calculation system was established based on above 3 parameters. For the plans of 9 patients, the average difference between the calculated results and the conversion factor calculation system was 0.340% ± 0.203%, and the average difference in the conversion curves for OAR was 2.650% ± 2.399%.Conclusion:A dose conversion factor calculation system and conversion factor curves for OAR for carbon ion radiotherapy are established for MKM and LEM, and their accuracy meets the requirements for use in clinical patient treatment plans.

Atypical lipomatous tumor(ALT)is a rare soft tissue sarcoma originating from adipocytic tissue.The clinical manifestations,imaging findings,and pathological examinations of one patient with ALT in the lower extremity were reported to provide reference for the clinical diagnosis and treatment of this disease.The patient was a 64-year-old male who was admitted due to a mass in the left thigh with swelling and pain for 5 years.The physical examination results showed a subcutaneous mass was palpable on the medial side of the left thigh,soft in texture,demonstrating good mobility and positive tenderness.The magnetic resonance imaging(MRI)non-contrast scan showed a well-defined lesion with an intact capsule.The lesion presented high signal intensity on T1-weighted image(T1WI),similar to subcutaneous fat signal;on T2-weighted image(T2WI)-Ideal in-phase images,the lesion showed high signal,while water images showed low signal,with multiple high-signal foci inside.On T2WI fat-suppression sequence,a low-signal mass was observed with multiple patchy high signals inside.Three days after admission,the patient underwent lesion resection.Intraoperatively,the tumor was located within the fascia,between the medial quadriceps muscles,presenting as lipomatous tissue with an intact capsule,mildly adherent to surrounding tissue,and with partial muscle invasion.The mass and invaded muscle were completely excised.The postoperative pathological examination results revealed a gray-yellow nodule measuring 16.0 cm.× 10.0 cm×4.0 cm,with a smooth surface and intact capsule.The cut surface was gray-yellow,fatty-like,and soft in texture.Additional gray-yellow tissue fragments were found,with a total volume of 5.0 cm×4.0 cm×1.2 cm,exhibiting a gray-brown cut surface with moderate texture.Under microscope,the lesion consisted mainly of relatively mature adipose tissue.Enlarged and hyperchromatic nuclei were observed,with scattered mononuclear or multinuclear atypical stromal cells.Fibrous septa contained variable numbers of univacuolated or multivacuolated lipoblasts.The immunohistochemistry results showed positivity for cyclin-dependent kinase 4(CDK4)and murine double minute 2(MDM2).The fluorescence in situ hybridization(FISH)results demonstrated MDM2 gene amplification in tumor cells.The pathological diagnosis was ALT of the left lower extremity.At 6-month follow-up after operation,no tumor recurrence was observed.The preoperative MRI detection may provide effective evidence for the diagnosis of ALT,while postoperative pathological examination can confirm the diagnosis and help evaluate the prognosis of the patients.

Objective To evaluate the advantages of a real-time computer endoscopy-assisted system(EndoAngel)for colorectal lesions detection in colonoscopy.Methods 2 000 patients who underwent EndoAngel assisted colonoscopy and conventional colonoscopy were selected for the study in a single-center,self-controlled study.According to different examination methods,the patients were divided into artificial intelligence(AI)group and traditional colonoscopy group,each with 1 000 cases.The results were statistically analyzed and compared with the polyp detection rate and adenoma detection rate of the two groups using pathological diagnosis as the gold standard.Further subgroup analysis will be conducted based on the seniority of the operating physicians.Results AI group's polyp detection rate was higher(39.3％)than conventional colonoscopy group polyp detection rate(29.0％),with statistically significant difference(x2=23.59,P=0.000).Of these,the detection rates of hyperplastic polyps and adenomatous polyps were 19.1％and 25.2％,which were significantly higher than those of 12.4％and 20.8％in the conventional colonoscopy group,and the differences were statistically significant(x2=16.92,P=0.000;x2=5.46,P=0.019).Further subgroup analysis of the two groups by physician seniority,the polyp detection rate of AI low seniority group(36.6％)was higher than that of conventional colonoscopy low seniority group(20.40％),with a statistically significant difference(x2=32.20,P=0.000).Among them,the detection rates of hyperplastic polyp(17.8％)and adenomatous polyp(23.6％)in AI low seniority group were higher than those in the conventional colonoscopy low seniority group(12.8％vs 13.6％),and the differences were significant(x2=4.82,P=0.028;x2=16.51,P=0.000).There were no significant differences in adenomatous polyp detection rates between the two groups of senior physicians.Conclusion EndoAngel assisted system can improve the polyp detection rate of colonoscopy,especially for the effect of low seniority physicians is more significant.

Objectives:To investigate the relationship between QRS duration and its changes during hospitalization and long-term all-cause mortality in patients with chronic heart failure.Methods:A total of 3 580 patients who attended three tertiary hospitals in Shanxi Province(First Hospital of Shanxi Medical University,Shanxi Cardiovascular Hospital,Shanxi Bethune Hospital)and were diagnosed with chronic heart failure from March 2014 to November 2021,were enrolled in this study.QRS duration at admission and discharge were collected,and the changes in QRS duration during hospitalization(ΔQRS)and the ΔQRS ratio(ΔQRS/admission QRS duration×100% )were calculated.Patients were divided into three group according to tertiles of ΔQRS:the group with decreasing QRS duration(n=1 364),the group with stable QRS duration(n=1 248),and the group with progressing QRS duration(n=968).Telephone follow-up was conducted at months 1,3,6,12,and every 6 months thereafter after discharge till May 1,2023,long-term all-cause mortality was the primary endpoint.Survival curves were plotted using the Kaplan-Meier method,and comparisons between groups were made using the log-rank method.Cox proportional risk regression model was used for prognostic analysis,and restricted cubic spline curves were calculated to evaluate QRS duration-related variables during hospitalization and the risk of long-term all-cause mortality in patients with chronic heart failure.Results:The median follow-up was 71(56,92)months,and all-cause mortality occurred in 502(14.0% )patients.Long-term all-cause mortality was lower in the group with decreasing QRS duration and the group with stable QRS duration compared with the progressing QRS duration group(13.9% vs.10.7% vs.18.6%,χ2=28.607,P<0.001).Multifactorial Cox regression analysis showed that admission QRS duration(HR=1.005,95% CI:1.002-1.009,P=0.003)and higher ΔQRS ratio during hospitalization(HR=2.071,95% CI:1.247-3.440,P=0.005)were independent influencing factors of long-term all-cause mortality in chronic heart failure patients.Restricted cubic spline curves showed that when the admission QRS duration was>96.36 ms,the longer the QRS duration,the higher the risk of all-cause mortality;when the admission QRS duration fluctuated from 89.32-96.36 ms,the QRS duration was a protective factor for long-term all-cause mortality in patients with chronic heart failure;and when the ΔQRS ratio during hospitalization was≥3.40%,higher ΔQRS ratio was linked with increased risk of all-cause mortality.Conclusions:QRS duration and ΔQRS ratio during hospitalization are independent predictors of long-term all-cause mortality in patients with chronic heart failure.Admission QRS duration>96.36 ms and ΔQRS ratio during hospitalization≥3.40% are associated with increased risk of long-term all-cause mortality in patients with chronic heart failure.

Objective To evaluate the advantages of a real-time computer endoscopy-assisted system(EndoAngel)for colorectal lesions detection in colonoscopy.Methods 2 000 patients who underwent EndoAngel assisted colonoscopy and conventional colonoscopy were selected for the study in a single-center,self-controlled study.According to different examination methods,the patients were divided into artificial intelligence(AI)group and traditional colonoscopy group,each with 1 000 cases.The results were statistically analyzed and compared with the polyp detection rate and adenoma detection rate of the two groups using pathological diagnosis as the gold standard.Further subgroup analysis will be conducted based on the seniority of the operating physicians.Results AI group's polyp detection rate was higher(39.3％)than conventional colonoscopy group polyp detection rate(29.0％),with statistically significant difference(x2=23.59,P=0.000).Of these,the detection rates of hyperplastic polyps and adenomatous polyps were 19.1％and 25.2％,which were significantly higher than those of 12.4％and 20.8％in the conventional colonoscopy group,and the differences were statistically significant(x2=16.92,P=0.000;x2=5.46,P=0.019).Further subgroup analysis of the two groups by physician seniority,the polyp detection rate of AI low seniority group(36.6％)was higher than that of conventional colonoscopy low seniority group(20.40％),with a statistically significant difference(x2=32.20,P=0.000).Among them,the detection rates of hyperplastic polyp(17.8％)and adenomatous polyp(23.6％)in AI low seniority group were higher than those in the conventional colonoscopy low seniority group(12.8％vs 13.6％),and the differences were significant(x2=4.82,P=0.028;x2=16.51,P=0.000).There were no significant differences in adenomatous polyp detection rates between the two groups of senior physicians.Conclusion EndoAngel assisted system can improve the polyp detection rate of colonoscopy,especially for the effect of low seniority physicians is more significant.

Objectives:To investigate the relationship between QRS duration and its changes during hospitalization and long-term all-cause mortality in patients with chronic heart failure.Methods:A total of 3 580 patients who attended three tertiary hospitals in Shanxi Province(First Hospital of Shanxi Medical University,Shanxi Cardiovascular Hospital,Shanxi Bethune Hospital)and were diagnosed with chronic heart failure from March 2014 to November 2021,were enrolled in this study.QRS duration at admission and discharge were collected,and the changes in QRS duration during hospitalization(ΔQRS)and the ΔQRS ratio(ΔQRS/admission QRS duration×100% )were calculated.Patients were divided into three group according to tertiles of ΔQRS:the group with decreasing QRS duration(n=1 364),the group with stable QRS duration(n=1 248),and the group with progressing QRS duration(n=968).Telephone follow-up was conducted at months 1,3,6,12,and every 6 months thereafter after discharge till May 1,2023,long-term all-cause mortality was the primary endpoint.Survival curves were plotted using the Kaplan-Meier method,and comparisons between groups were made using the log-rank method.Cox proportional risk regression model was used for prognostic analysis,and restricted cubic spline curves were calculated to evaluate QRS duration-related variables during hospitalization and the risk of long-term all-cause mortality in patients with chronic heart failure.Results:The median follow-up was 71(56,92)months,and all-cause mortality occurred in 502(14.0% )patients.Long-term all-cause mortality was lower in the group with decreasing QRS duration and the group with stable QRS duration compared with the progressing QRS duration group(13.9% vs.10.7% vs.18.6%,χ2=28.607,P<0.001).Multifactorial Cox regression analysis showed that admission QRS duration(HR=1.005,95% CI:1.002-1.009,P=0.003)and higher ΔQRS ratio during hospitalization(HR=2.071,95% CI:1.247-3.440,P=0.005)were independent influencing factors of long-term all-cause mortality in chronic heart failure patients.Restricted cubic spline curves showed that when the admission QRS duration was>96.36 ms,the longer the QRS duration,the higher the risk of all-cause mortality;when the admission QRS duration fluctuated from 89.32-96.36 ms,the QRS duration was a protective factor for long-term all-cause mortality in patients with chronic heart failure;and when the ΔQRS ratio during hospitalization was≥3.40%,higher ΔQRS ratio was linked with increased risk of all-cause mortality.Conclusions:QRS duration and ΔQRS ratio during hospitalization are independent predictors of long-term all-cause mortality in patients with chronic heart failure.Admission QRS duration>96.36 ms and ΔQRS ratio during hospitalization≥3.40% are associated with increased risk of long-term all-cause mortality in patients with chronic heart failure.

Objective To systematically evaluate the psychometric properties of specific self-reported outcome assessment tools for patients undergoing Endoscopic Transnasal Transsphenoidal Surgery(ETTS),with the aim of pro-viding clinical healthcare professionals with evidence to guide the selection of appropriate assessment tools.Methods A systematic search was performed across multiple databases,including the North American Skull Base Society,PubMed,Embase,CINAHL,Web of Science,Cochrane Library,CNKI,VIP database,Wanfang database,and the China Biomedical Literature Database,for studies published from the inception of each database to January 9,2025,that are related to ETTS-specific symptom assessment tools.Totally 2 independent researchers screened the literature and extracted relevant data.The consensus-based health measurement tool selection bias risk checklist and quality standards were used to evaluate the methodological quality and psychometric properties of the included studies,which helped to form the development of recommendations.Results A total of 11 articles were included,covering 8 specific self-reported outcome assessment tools for patients undergoing endonasal transsphenoidal pituitary tumor resection.Of these,the Pituitary Outcome Score and the Leiden Bother and Needs Questionnaire for patients with pituitary disease 2 tools were rated as Grade A recommendations,and 6 tools were rated as Grade B recommendations.Conclusion POS and LBNQ-Pituitary are recommended due to their relatively strong overall methodological quality and psychometric properties.However,further validation with larger sample sizes is necessary.

Objective:In carbon ion treatment planning of water phantom, establish a conversion factor calculation system and conversion factor curves for organs at risk (OAR) for microdosimetric kinetic models (MKM) and local effect models (LEM), and validate them in clinical patient planning.Methods:Using a uniform spherical water phantom as the research object, relative biological effectiveness-weighted doses (RWD) for the LEM were re-calculated based on the physical dose of RayStation-MKM. The median dose within the planning target volume (PTV) of LEM and MKM was regarded as the conversion factor. The impacts of single-fraction target prescription dose, spread-out Bragg peak (SOBP) width and depth, shape, and irradiation mode on the conversion factor were assessed, and a conversion factor calculation system was established. Additionally, the accuracy of the conversion factor calculation system was validated using both water phantoms and clinical patient cases. The conversion factor curves for OAR were computed based on clinical patient treatment plans.Results:The primary influencing factors for the conversion factors were the single-fraction prescription dose, target SOBP width and depth. The conversion factors were increased with the increase of SOBP width and target depth, whereas decreased with the increase of the single-fraction prescription dose. Under single-field irradiation, a conversion factor calculation system was established based on above 3 parameters. For the plans of 9 patients, the average difference between the calculated results and the conversion factor calculation system was 0.340% ± 0.203%, and the average difference in the conversion curves for OAR was 2.650% ± 2.399%.Conclusion:A dose conversion factor calculation system and conversion factor curves for OAR for carbon ion radiotherapy are established for MKM and LEM, and their accuracy meets the requirements for use in clinical patient treatment plans.

Medical device imaging data augmentation is a method of expanding existing datasets by generating new data samples,which is of great significance for improving the performance of artificial intelligence(AI)medical device-related models and clinical application effects.However,traditional data augmentation methods are usually limited by the quality,realism,and diversity of generated samples.Denoising diffusion probabilistic model(DDPM)is a generative model based on the noise diffusion process,and its main idea is to generate samples with high quality by modelling the sampling process of the target distribution as a process of progressive denoising from the noise distribution.The basic principles and working mechanisms of DDPM were reviewed,the application scenarios of this method in AI medical device data augmentation were analyzed,and its advantages,challenges,and future development directions were explored to provide a reference for the field of AI medical device data augmentation.