Use of Traditional Chinese Herbal Medicine Concurrently with Conventional Cancer Treatment Among Chinese Cancer Patients

Leng, Jennifer; Lei, Lei; Shu, Lei; Zhu, Zhiying; Ocampo, Alex; Gany, Francesca

doi:10.1007/s10903-020-01017-2

“…TCM is a promising and effective adjuvant therapy in the treatment of lung cancer. Compared with chemotherapy and radiotherapy, it has the advantages of availability, effectiveness, and low toxicity [ 35 ], although its various mechanisms deserve further study [ 36 , 37 ]. In this study, the tongue parameters, including TB-a, TC-a, TB-Cr, and TC-Cr of Qi deficiency syndrome and Yin deficiency syndrome, represent the red value of tongue body and tongue coating.…”

Section: Discussionmentioning

confidence: 99%

A New Method for Syndrome Classification of Non-Small-Cell Lung Cancer Based on Data of Tongue and Pulse with Machine Learning

Shi

¹

,

Liu

²

,

Hu

³

et al. 2021

BioMed Research International

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Objective. To explore the data characteristics of tongue and pulse of non-small-cell lung cancer with Qi deficiency syndrome and Yin deficiency syndrome, establish syndrome classification model based on data of tongue and pulse by using machine learning methods, and evaluate the feasibility of syndrome classification based on data of tongue and pulse. Methods. We collected tongue and pulse of non-small-cell lung cancer patients with Qi deficiency syndrome ( n = 163 ), patients with Yin deficiency syndrome ( n = 174 ), and healthy controls ( n = 185 ) using intelligent tongue diagnosis analysis instrument and pulse diagnosis analysis instrument, respectively. We described the characteristics and examined the correlation of data of tongue and pulse. Four machine learning methods, namely, random forest, logistic regression, support vector machine, and neural network, were used to establish the classification models based on symptom, tongue and pulse, and symptom and tongue and pulse, respectively. Results. Significant difference indices of tongue diagnosis between Qi deficiency syndrome and Yin deficiency syndrome were TB-a, TB-S, TB-Cr, TC-a, TC-S, TC-Cr, perAll, and the tongue coating texture indices including TC-CON, TC-ASM, TC-MEAN, and TC-ENT. Significant difference indices of pulse diagnosis were t4 and t5. The classification performance of each model based on different datasets was as follows: tongue and pulse < symptom < symptom and tongue and pulse. The neural network model had a better classification performance for symptom and tongue and pulse datasets, with an area under the ROC curves and accuracy rate which were 0.9401 and 0.8806. Conclusions. It was feasible to use tongue data and pulse data as one of the objective diagnostic basis in Qi deficiency syndrome and Yin deficiency syndrome of non-small-cell lung cancer.

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“…Statistical Analysis of tongue and pulse data of Qi de ciency and Yin de ciency TCM is a promising and effective adjuvant therapy in the treatment of lung cancer. Compared with chemotherapy and radiotherapy, it has the advantages of availability, effectiveness and low toxicity 33 , its various mechanisms deserve further study [34][35] . In this study, the tongue parameters TB-a, TC-a, TB-Cr, TC-Cr of Qi de ciency syndrome and Yin de ciency syndrome, thy all represent the red value of tong body and tongue coating, the larger the value, the more redder or magenta the tongue is.…”

Section: Discussionmentioning

confidence: 99%

Study on the Syndrome Characteristics and Classification Model of Non- Small Cell Lung Cancer Based on Tongue and Pulse Data

Shi

¹

,

Liu

²

,

Hu

³

et al. 2021

Preprint

2

0

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Background: Lung cancer is a common malignant tumor that affects people's health seriously. Traditional Chinese medicine (TCM) is one of the effective methods for the treatment of advanced lung cancer, accurate TCM syndrome differentiation is essential to treatment. When the symptoms are not obvious, the traditional symptom-based syndrome differentiation cannot be carried out. There is a close relationship between syndrom and index of western medicine, the combination of micro index and macro symptom can assist syndrome differentiation effectively.Methods: Tongue and pulse data of non-small cell lung cancer (NSCLC) patients with Qi deficiency syndrome (n=163), patients with Yin deficiency syndrome (n=174) and healthy controls (n=185) were collected by using intelligent Tongue and Face Diagnosis Analysis-1 instrument and Pulse Diagnosis Analysis-1 instrument, respectively. The characteristics of tongue and pulse data were analyzed, the correlation analysis was also made on tongue and pulse data. And four machine learning methods, namely Random Forest, Logistic Regression, Support Vector Machine and Neural Network, were used to establish the classification models based on symptoms, tongue & pulse data, and symptoms & tongue & pulse data, respectively.Results: Significant difference indexes of tongue diagnosis between Qi deficiency syndrome and Yin deficiency syndrome were TB-a, TB-S, TB-Cr, TC-a, TC-S, TC-Cr, perAll and the tongue coating texture indexes including TC-Con, TC-ASM, TC-MEAN, and TC-ENT. Significant difference indexes of pulse diagnosis were t4 and t5. The classification performance of each model based on different data sets was as follows: model of tongue & pulse data <model of symptom < model of symptom & tongue & pulse data. The Neural Network model had a better classification performance for the symptom & tongue & pulse data, with an area under the ROC curve and accuracy rate were 0.9401 and 0.8806.Conclusions:This study explored the characteristics of tongue and pulse data of NSCLC with Qi deficiency syndrome and Yin deficiency syndrome, and established syndromes classification model. It was feasible to use tongue and pulse data as one of the objective diagnostic indexes in Qi deficiency syndrome and Yin deficiency syndrome of NSCLC.Name of the registry: Chinese Clinical Trial RegistryTrial registration number: ChiCTR1900026008; ChiCTR-IOR-15006502 Date of registration: Jun. 04th, 2015URL of trial registry record: http://www.chictr.org.cn/showprojen.aspx?proj=11119;http://www.chictr.org.cn/edit.aspx?pid=38828&htm=4 (This is a retrospective registration)

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“…① The patients met the clinical diagnosis criteria for prostate cancer in the Chinese Standard for Diagnosis and Treatment of Common Malignant Tumors [ 13 ]; ② the patients were diagnosed after prostate MRI examination and prostate biopsy pathological examination; ③ the patients met the indications of hormonal therapy; ④ the patients were highly compliant and had complete clinical data; and ⑤ the patients and their family members understood the study and signed the informed consent.…”

Section: Study Planmentioning

confidence: 99%

Effect of Combining Traditional Chinese Medicine with Hormonal Therapy on Quality of Life and Tumor Markers of Prostate Cancer Patients

Gai

¹

,

Li

²

,

Liu

³

2021

Evidence-Based Complementary and Alternative Medicine

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Objective. To explore the effect of combining traditional Chinese medicine (TCM) with hormonal therapy on the quality of life and tumor markers of prostate cancer patients. Methods. A total of 60 prostate cancer patients treated in Zibo Central Hospital from June 2017 to June 2021 were selected for the retrospective analysis study and divided into the control group and experimental group based on whether applying TCM treatment, with 30 cases each. The patients in the experimental group received the combined treatment of TCM and hormonal therapy, and those in the control group only accepted the hormonal therapy, so as to analyze their clinical efficacy and tumor marker levels after treatment. Results. The patients’ general information were not statistically different ( P > 0.05 ); after treatment, the levels and ratios of total prostate-specific antigen (TPSA) and free prostate-specific antigen (FPSA) of patients in both groups were improved, and the experimental group obtained significantly lower TPSA and FPSA levels ( P < 0.05 ) and higher TPSA/FPSA ratios ( P < 0.05 ); the incidence of androgen-independent prostate cancer was significantly lower in the experimental group than in the control group (8 vs. 16, P < 0.05 ); in addition, the time to develop into the androgen-independent prostate cancer was longer in patients of the experimental group than those of the control group ( P < 0.05 ); the treated patients in the experimental group obtained obviously higher Functional Assessment of Cancer Therapy-Prostate (FACT-P) quality of life scores and Karnofsky score (KPS) than those in the control group ( P < 0.05 ), and the number of patients with recovered PSA levels was significantly higher in the experimental group than in the control group ( P < 0.05 ). Conclusion. Combining self-made TCM formula with hormonal therapy can effectively improve the levels of prostate tumor markers and postpone the progress of developing from prostate cancer to androgen-independent prostate cancer, which is conducive to promoting the patients’ quality of life.

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Use of Traditional Chinese Herbal Medicine Concurrently with Conventional Cancer Treatment Among Chinese Cancer Patients

Cited by 13 publications

References 32 publications

A New Method for Syndrome Classification of Non-Small-Cell Lung Cancer Based on Data of Tongue and Pulse with Machine Learning

A New Method for Syndrome Classification of Non-Small-Cell Lung Cancer Based on Data of Tongue and Pulse with Machine Learning

Study on the Syndrome Characteristics and Classification Model of Non- Small Cell Lung Cancer Based on Tongue and Pulse Data

Effect of Combining Traditional Chinese Medicine with Hormonal Therapy on Quality of Life and Tumor Markers of Prostate Cancer Patients

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