1.Herbal Textual Research on Inulae Flos in Famous Classical Formulas
Caixia LIU ; Yue HAN ; Yanzhu MA ; Lei GAO ; Sheng WANG ; Yan YANG ; Wenchuan LUO ; Ling JIN ; Jing SHAO ; Zhijia CUI ; Zhilai ZHAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):210-221
In this paper, by referring to ancient and modern literature, the textual research of Inulae Flos has been conducted to clarify the name, origin, production area, quality evaluation, harvesting, processing and others, so as to provide reference and basis for the development and utilization of famous classical formulas containing this herb. After textual research, it could be verified that the medicinal use of Inulae Flos was first recorded in Shennong Bencaojing of the Han dynasty. In successive dynasties, Xuanfuhua has been taken as the official name, and it also has other alternative names such as Jinfeicao, Daogeng and Jinqianhua. The period before the Song and Yuan dynasties, the main origin of Inulae Flos was the Asteraceae plant Inula japonica, and from the Ming and Qing dynasties to the present, I. japonica and I. britannica are the primary source. In addition to the dominant basal species, there are also regional species such as I. linariifolia, I. helianthus-aquatili, and I. hupehensis. The earliest recorded production areas in ancient times were Henan, Hubei and other places, and the literature records that it has been distributed throughout the country since modern times. The medicinal part is its flower, the harvesting and processing method recorded in the past dynasties is mainly harvested in the fifth and ninth lunar months, and dried in the sun, and the modern harvesting is mostly harvested in summer and autumn when the flowers bloom, in order to remove impurities, dry in the shade or dry in the sun. In addition, the roots, whole herbs and aerial parts are used as medicinal materials. In ancient times, there were no records about the quality of Inulae Flos, and in modern times, it is generally believed that the quality of complete flower structure, small receptacles, large blooms, yellow petals, long filaments, many fluffs, no fragments, and no branches is better. Ancient processing methods primarily involved cleaning, steaming, and sun-drying, supplemented by techniques such as boiling, roasting, burning, simmering, stir-frying, and honey-processing. Modern processing focuses mainly on cleaning the stems and leaves before use. Regarding the medicinal properties, ancient texts describe it as salty and sweet in taste, slightly warm in nature, and mildly toxic. Modern studies characterize it as bitter, pungent, and salty in taste, with a slightly warm nature. Its therapeutic effects remain consistent across eras, including descending Qi, resolving phlegm, promoting diuresis, and stopping vomiting. Based on the research results, it is recommended that when developing famous classical formulas containing Inulae Flos, either I. japonica or I. britannica should be used as the medicinal source. Processing methods should follow formula requirements, where no processing instructions are specified, the raw products may be used after cleaning.
2.Herbal Textual Research on Inulae Flos in Famous Classical Formulas
Caixia LIU ; Yue HAN ; Yanzhu MA ; Lei GAO ; Sheng WANG ; Yan YANG ; Wenchuan LUO ; Ling JIN ; Jing SHAO ; Zhijia CUI ; Zhilai ZHAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):210-221
In this paper, by referring to ancient and modern literature, the textual research of Inulae Flos has been conducted to clarify the name, origin, production area, quality evaluation, harvesting, processing and others, so as to provide reference and basis for the development and utilization of famous classical formulas containing this herb. After textual research, it could be verified that the medicinal use of Inulae Flos was first recorded in Shennong Bencaojing of the Han dynasty. In successive dynasties, Xuanfuhua has been taken as the official name, and it also has other alternative names such as Jinfeicao, Daogeng and Jinqianhua. The period before the Song and Yuan dynasties, the main origin of Inulae Flos was the Asteraceae plant Inula japonica, and from the Ming and Qing dynasties to the present, I. japonica and I. britannica are the primary source. In addition to the dominant basal species, there are also regional species such as I. linariifolia, I. helianthus-aquatili, and I. hupehensis. The earliest recorded production areas in ancient times were Henan, Hubei and other places, and the literature records that it has been distributed throughout the country since modern times. The medicinal part is its flower, the harvesting and processing method recorded in the past dynasties is mainly harvested in the fifth and ninth lunar months, and dried in the sun, and the modern harvesting is mostly harvested in summer and autumn when the flowers bloom, in order to remove impurities, dry in the shade or dry in the sun. In addition, the roots, whole herbs and aerial parts are used as medicinal materials. In ancient times, there were no records about the quality of Inulae Flos, and in modern times, it is generally believed that the quality of complete flower structure, small receptacles, large blooms, yellow petals, long filaments, many fluffs, no fragments, and no branches is better. Ancient processing methods primarily involved cleaning, steaming, and sun-drying, supplemented by techniques such as boiling, roasting, burning, simmering, stir-frying, and honey-processing. Modern processing focuses mainly on cleaning the stems and leaves before use. Regarding the medicinal properties, ancient texts describe it as salty and sweet in taste, slightly warm in nature, and mildly toxic. Modern studies characterize it as bitter, pungent, and salty in taste, with a slightly warm nature. Its therapeutic effects remain consistent across eras, including descending Qi, resolving phlegm, promoting diuresis, and stopping vomiting. Based on the research results, it is recommended that when developing famous classical formulas containing Inulae Flos, either I. japonica or I. britannica should be used as the medicinal source. Processing methods should follow formula requirements, where no processing instructions are specified, the raw products may be used after cleaning.
3.Herbal Textual Research on Malvae Semen in Famous Classical Formulas
Dongxue CHEN ; Yibo LIU ; Yangyang YU ; Guoshuai LYU ; Huili WU ; Xinle HAN ; Yue TAN ; Minhui LI ; Zhilai ZHAN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):252-264
The medicinal use of Malvae Semen has a long history. In this paper, by consulting the ancient materia medica, prescription, agronomy, literature and other aspects of the classics, the name, origin, evolution of scientific name, quality, harvesting and processing, functions and indications and others of Malvae Semen were systematically sorted out and verified, so as to provide a basis for the development and utilization of famous classical formulas containing this herb. According to the textual research, Shennong Bencaojing began to use Dongkuizi as the correct name, which was used in the past dynasties, and there were also aliases such as Kuicaizi, Huacai, and Kuizi. Through the original research, it can be seen that Kuicai is the mainstream original plant of Malvae Semen, that is, Malva verticillata var. crispa, the Alcea rosea and M. cathayensis are also used. In modern times, the seeds of Abutilon theophrasti have been passed off as Malvae Semen, while the seeds of M. verticillata var. crispa have rarely been used in medicine. And Abutili Semen has been another medicinal material with different efficacy since the collection of Newly Revised Materia Medica in the Tang dynasty. Since the Ming and Qing dynasties, the cultivation of Kuicai has been decreasing, while A. theophrasti is more common and easy to obtain, and Abutili Semen and Malvae Semen are similar in morphology and confused, which should be corrected. In addition, Malvae Fructus is a Mongolian customary medicinal herb, which is different from the traditional use of seeds in traditional Chinese medicine. Kuicai, as an important vegetable in history, was widely cultivated and gradually shrunk after the Song dynasty, it is now mainly produced in southern provinces. The quality evaluation of Malvae Semen is better for those with dry bodies, full grain, grayish brown color, no mud, and no impurities. The harvesting is generally in the autumn and winter. After drying, it is seeded, sieved peel and impurities, mashed, or slightly stir-fried to yellow-white color with gentle fire. It is sweet, cold and slippery in nature and taste, with the main effects of laxation, diuresis, lactation and elimination of swelling. The efficacy of Abutili Semen is clearing heat and removing toxicity, promoting diuresis and removing nebula, the efficacy is quite different from that of Malvae Semen. Based on the results of textual research, it is suggested that M. verticillata var. crispa should be used as the medicinal source of Malvae Semen in the development of famous classical formulas, the corresponding processing methods should be selected according to the requirements of drug processing in the formulas, while the raw products are recommended to be used if the processing is not specified.
4.Herbal Textual Research on Malvae Semen in Famous Classical Formulas
Dongxue CHEN ; Yibo LIU ; Yangyang YU ; Guoshuai LYU ; Huili WU ; Xinle HAN ; Yue TAN ; Minhui LI ; Zhilai ZHAN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):252-264
The medicinal use of Malvae Semen has a long history. In this paper, by consulting the ancient materia medica, prescription, agronomy, literature and other aspects of the classics, the name, origin, evolution of scientific name, quality, harvesting and processing, functions and indications and others of Malvae Semen were systematically sorted out and verified, so as to provide a basis for the development and utilization of famous classical formulas containing this herb. According to the textual research, Shennong Bencaojing began to use Dongkuizi as the correct name, which was used in the past dynasties, and there were also aliases such as Kuicaizi, Huacai, and Kuizi. Through the original research, it can be seen that Kuicai is the mainstream original plant of Malvae Semen, that is, Malva verticillata var. crispa, the Alcea rosea and M. cathayensis are also used. In modern times, the seeds of Abutilon theophrasti have been passed off as Malvae Semen, while the seeds of M. verticillata var. crispa have rarely been used in medicine. And Abutili Semen has been another medicinal material with different efficacy since the collection of Newly Revised Materia Medica in the Tang dynasty. Since the Ming and Qing dynasties, the cultivation of Kuicai has been decreasing, while A. theophrasti is more common and easy to obtain, and Abutili Semen and Malvae Semen are similar in morphology and confused, which should be corrected. In addition, Malvae Fructus is a Mongolian customary medicinal herb, which is different from the traditional use of seeds in traditional Chinese medicine. Kuicai, as an important vegetable in history, was widely cultivated and gradually shrunk after the Song dynasty, it is now mainly produced in southern provinces. The quality evaluation of Malvae Semen is better for those with dry bodies, full grain, grayish brown color, no mud, and no impurities. The harvesting is generally in the autumn and winter. After drying, it is seeded, sieved peel and impurities, mashed, or slightly stir-fried to yellow-white color with gentle fire. It is sweet, cold and slippery in nature and taste, with the main effects of laxation, diuresis, lactation and elimination of swelling. The efficacy of Abutili Semen is clearing heat and removing toxicity, promoting diuresis and removing nebula, the efficacy is quite different from that of Malvae Semen. Based on the results of textual research, it is suggested that M. verticillata var. crispa should be used as the medicinal source of Malvae Semen in the development of famous classical formulas, the corresponding processing methods should be selected according to the requirements of drug processing in the formulas, while the raw products are recommended to be used if the processing is not specified.
5.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
6.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
7.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
8.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
9.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
10.Life's Essential 8 cardiovascular health metrics and long-term risk of cardiovascular disease at different stages: A multi-stage analysis.
Jiangtao LI ; Yulin HUANG ; Zhao YANG ; Yongchen HAO ; Qiuju DENG ; Na YANG ; Lizhen HAN ; Luoxi XIAO ; Haimei WANG ; Yiming HAO ; Yue QI ; Jing LIU
Chinese Medical Journal 2025;138(5):592-594

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