Fibrosing alopecia in a pattern distribution (FAPD) is a newly recognized entity of primary lymphocytic cicatricial alopecia with clinical and histopathological characteristics of both androgenetic alopecia and lichen planopilaris. Currently, there is still a lack of full understanding of and standardized treatment protocols for FAPD, which is prone to be clinically underdiagnosed and misdiagnosed. This review systematically summarizes the research progress in FAPD in terms of clinical manifestations, diagnosis, and treatment, in order to facilitate its clinical diagnosis and treatment.

Changes in hair follicle stem cells (HFSCs) can affect scalp aging and hair growth. With increasing age, HFSCs exhibit a decrease in quiescence maintenance and self-renewal capacity, as well as differentiation potential, leading to shortened hair growth cycles and even hair loss. This review summarizes recent research advances in the multifactorial interactions underlying hair loss, including the regulatory mechanisms of HFSC quiescence, the impact of aging on HFSC function, and aging of the stem cell microenvironment. Additionally, this review discusses the relationship between stem cells and hair shafts, and the mechanisms of action of stem cells in scalp aging, including alterations in signaling pathways, chromatin remodeling, and epigenetic regulation, etc. Furthermore, stem cell-based therapeutic strategies are summarized, such as the use of stem cells or their secreting exosomes, modulation of the stem cell microenvironment, and pharmacological interventions.

Objective:To explore the clinical application value of artificial intelligence（AI）-assisted training in enhancing the accuracy of nuchal translucency（NT）identification，standardization of measurement，and diagnostic efficacy for abnormalities among ultrasound residents.Methods:A retrospective collection of 300 standard fetal NT ultrasound images was conducted at the Center for Medical Ultrasound，Suzhou Hospital Affiliated of Nanjing Medical University from January 2018 to June 2024. The AI model performed NT measurements and diagnoses once. Four sonographers of different seniority levels（including two resident physicians）independently conducted NT measurements and diagnoses twice. Prior to the experiment，the middle-age and resident sonographers had uniformly completed traditional theory training. Following the first independent measurements，the two resident sonographers received additional AI-assisted training，after which all 4 sonographers performed the second independent measurements. A fetal medicine expert evaluated blindly all the results and compared the differences in NT recognition accuracy，measurement standard rate and diagnosis accuracy between the middle-age sonographer（traditional training only）and two resident sonographers（traditional + AI-assisted training）.Results:For the middle-aged sonographer who only received traditional lecture-based training，the accuracy of NT recognition，standardization rate of measurement，or diagnostic accuracy were not significantly improved befroe and after the training，and the diffrence was not statistically significant（ χ2=0.189，1.887，0.326；all P>0.05）. In contrast，the second-year resident（Resident 2）and first-year resident（Resident 1），who received both traditional lecture-based training and AI training，demonstrated some improvements in the accuracy of NT measurement site recognition，though the differences were not statistically significant（ χ2=1.301，2.418；all P>0.05）. However，both residents did significant improvements in the standardization rate of NT measurement（ χ2=25.768，17.035；all P<0.05）. In terms of diagnostic accuracy，Resident 1 did significant improvement（ χ2=10.180， P<0.05），while Resident 2 also did some improvement，though the difference was not statistically significant（ χ2=2.573， P>0.05）. Conclusions:The AI-assisted training system enhances the ability of ultrasound resident sonographers to recognize，measure，and diagnose NT，providing a novel and efficient training model for standardized residency training in ultrasound specialties.

Objective:To investigate the diagnostic value of fetal cardiac ultrasound view visualization in the first trimester for congenital heart disease（CHD）.Methods:A retrospective analysis was performed on 13 323 singleton fetuses who underwent first-trimester（11-13 +6 weeks）ultrasound screening at the Ultrasound Medicine Center，the Affiliated Suzhou Hospital of Nanjing Medical University from January 2018 to June 2024. Cardiac views including the four-chamber view（4CV），left ventricular outflow tract view（LVOT），and Results:The study group showed significantly higher rates of "poorly visualized" 4CV，LVOT，and 3VT than the control group（2.70% vs. 0.14%， P=0.005；36.49% vs. 4.76%， P<0.001；36.49% vs.2.46%， P<0.001）. The efficacies of combination 1（any view abnormal）and combination 2（any view "poorly visualized" or "abnormal"）were comparable，with AUCs of 0.86 and 0.85（ P=0.424）. The AUCs of combination 3（3VT "poorly visualized" or any view "abnormal"）and combination 4（4CV "poorly visualized" or any view "abnormal"）were 0.88 and 0.86（ P=0.424），all significantly higher than combination 5（LVOT "poorly visualized" or any view "abnormal"，AUC=0.84，all P<0.05）. Conclusions:"Poorly visualized" cardiac views in the first trimester demonstrate good diagnostic efficacy for CHD，particularly when 3VT or 4CV are affected，warranting heightened clinical vigilance for fetal cardiac anomalies.

Topical minoxidil has been applied to the treatment of androgenetic alopecia (AGA) in clinical practice for a long time, but some problems still exist, such as unsatisfactory efficacy or poor tolerance. Currently, oral minoxidil is only indicated as second- or third-line therapy for hypertension, but growing evidence has supported the off-label use of low-dose oral minoxidil for the treatment of AGA. This review summarizes possible mechanisms and clinical application of low-dose oral minoxidil in the treatment of AGA.

Changes in hair follicle stem cells (HFSCs) can affect scalp aging and hair growth. With increasing age, HFSCs exhibit a decrease in quiescence maintenance and self-renewal capacity, as well as differentiation potential, leading to shortened hair growth cycles and even hair loss. This review summarizes recent research advances in the multifactorial interactions underlying hair loss, including the regulatory mechanisms of HFSC quiescence, the impact of aging on HFSC function, and aging of the stem cell microenvironment. Additionally, this review discusses the relationship between stem cells and hair shafts, and the mechanisms of action of stem cells in scalp aging, including alterations in signaling pathways, chromatin remodeling, and epigenetic regulation, etc. Furthermore, stem cell-based therapeutic strategies are summarized, such as the use of stem cells or their secreting exosomes, modulation of the stem cell microenvironment, and pharmacological interventions.

Objective:To explore the clinical application value of artificial intelligence（AI）-assisted training in enhancing the accuracy of nuchal translucency（NT）identification，standardization of measurement，and diagnostic efficacy for abnormalities among ultrasound residents.Methods:A retrospective collection of 300 standard fetal NT ultrasound images was conducted at the Center for Medical Ultrasound，Suzhou Hospital Affiliated of Nanjing Medical University from January 2018 to June 2024. The AI model performed NT measurements and diagnoses once. Four sonographers of different seniority levels（including two resident physicians）independently conducted NT measurements and diagnoses twice. Prior to the experiment，the middle-age and resident sonographers had uniformly completed traditional theory training. Following the first independent measurements，the two resident sonographers received additional AI-assisted training，after which all 4 sonographers performed the second independent measurements. A fetal medicine expert evaluated blindly all the results and compared the differences in NT recognition accuracy，measurement standard rate and diagnosis accuracy between the middle-age sonographer（traditional training only）and two resident sonographers（traditional + AI-assisted training）.Results:For the middle-aged sonographer who only received traditional lecture-based training，the accuracy of NT recognition，standardization rate of measurement，or diagnostic accuracy were not significantly improved befroe and after the training，and the diffrence was not statistically significant（ χ2=0.189，1.887，0.326；all P>0.05）. In contrast，the second-year resident（Resident 2）and first-year resident（Resident 1），who received both traditional lecture-based training and AI training，demonstrated some improvements in the accuracy of NT measurement site recognition，though the differences were not statistically significant（ χ2=1.301，2.418；all P>0.05）. However，both residents did significant improvements in the standardization rate of NT measurement（ χ2=25.768，17.035；all P<0.05）. In terms of diagnostic accuracy，Resident 1 did significant improvement（ χ2=10.180， P<0.05），while Resident 2 also did some improvement，though the difference was not statistically significant（ χ2=2.573， P>0.05）. Conclusions:The AI-assisted training system enhances the ability of ultrasound resident sonographers to recognize，measure，and diagnose NT，providing a novel and efficient training model for standardized residency training in ultrasound specialties.

Objective:To investigate the diagnostic value of fetal cardiac ultrasound view visualization in the first trimester for congenital heart disease（CHD）.Methods:A retrospective analysis was performed on 13 323 singleton fetuses who underwent first-trimester（11-13 +6 weeks）ultrasound screening at the Ultrasound Medicine Center，the Affiliated Suzhou Hospital of Nanjing Medical University from January 2018 to June 2024. Cardiac views including the four-chamber view（4CV），left ventricular outflow tract view（LVOT），and Results:The study group showed significantly higher rates of "poorly visualized" 4CV，LVOT，and 3VT than the control group（2.70% vs. 0.14%， P=0.005；36.49% vs. 4.76%， P<0.001；36.49% vs.2.46%， P<0.001）. The efficacies of combination 1（any view abnormal）and combination 2（any view "poorly visualized" or "abnormal"）were comparable，with AUCs of 0.86 and 0.85（ P=0.424）. The AUCs of combination 3（3VT "poorly visualized" or any view "abnormal"）and combination 4（4CV "poorly visualized" or any view "abnormal"）were 0.88 and 0.86（ P=0.424），all significantly higher than combination 5（LVOT "poorly visualized" or any view "abnormal"，AUC=0.84，all P<0.05）. Conclusions:"Poorly visualized" cardiac views in the first trimester demonstrate good diagnostic efficacy for CHD，particularly when 3VT or 4CV are affected，warranting heightened clinical vigilance for fetal cardiac anomalies.

Topical minoxidil has been applied to the treatment of androgenetic alopecia (AGA) in clinical practice for a long time, but some problems still exist, such as unsatisfactory efficacy or poor tolerance. Currently, oral minoxidil is only indicated as second- or third-line therapy for hypertension, but growing evidence has supported the off-label use of low-dose oral minoxidil for the treatment of AGA. This review summarizes possible mechanisms and clinical application of low-dose oral minoxidil in the treatment of AGA.

Fibrosing alopecia in a pattern distribution (FAPD) is a newly recognized entity of primary lymphocytic cicatricial alopecia with clinical and histopathological characteristics of both androgenetic alopecia and lichen planopilaris. Currently, there is still a lack of full understanding of and standardized treatment protocols for FAPD, which is prone to be clinically underdiagnosed and misdiagnosed. This review systematically summarizes the research progress in FAPD in terms of clinical manifestations, diagnosis, and treatment, in order to facilitate its clinical diagnosis and treatment.