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Article: [Strategies and challenges in the diagnosis and treatment of colorectal cancer peritoneal metastasis].

Wang, H / Qin, X S

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery

2021 Volume 24, Issue 3, Page(s) 208–213

Abstract: Peritoneum is a common metastatic site of colorectal cancer and has worse prognosis compared with other metastatic sites. Peritoneal metastasis was previously considered as a terminal state of the disease, and palliative treatment with systemic ... ...

Abstract	Peritoneum is a common metastatic site of colorectal cancer and has worse prognosis compared with other metastatic sites. Peritoneal metastasis was previously considered as a terminal state of the disease, and palliative treatment with systemic chemotherapy was the main treatment method. With the gradual acceptance of the cytoreductive surgery (CRS) + hyperthermic intraperitoneal chemotherapy (HIPEC) treatment model by surgeons and the application of targeted and immunotherapeutic drugs, the prognosis of patients with colorectal cancer peritoneal metastasis has been greatly improved. However, the diagnosis and treatment of peritoneal metastasis still face many challenges and controversies. Based on the evolution of the understanding of colorectal cancer peritoneal metastasis, the possible mechanisms of peritoneal metastasis are discussed, including the theory of "oligometastases" and the theory of "seed and soil". Besides, we further investigate the diagnosis and treatment strategies of colorectal cancer peritoneal metastasis and the facing challenges, including the limitations of imaging examination, the controversy of laparoscopic exploration, the difficulty in assessing peritoneal metastatic load, the limited means of postoperative recurrence monitoring and efficacy evaluation, and the significant variation in the diagnosis and treatment level among different regions of China. Meanwhile, we emphasize the importance of multidisciplinary perioperative management of CRS+HIPEC, and propose that the basic and clinical transformation research of peritoneal metastasis should be strengthened, and the promotion of standardized diagnosis and treatment of peritoneal metastasis is the key to improve the prognosis of patients with colorectal cancer peritoneal metastasis.
MeSH term(s)	Antineoplastic Combined Chemotherapy Protocols ; Colorectal Neoplasms/drug therapy ; Colorectal Neoplasms/therapy ; Combined Modality Therapy ; Cytoreduction Surgical Procedures ; Humans ; Hyperthermia, Induced ; Neoplasm Recurrence, Local ; Peritoneal Neoplasms/drug therapy ; Peritoneal Neoplasms/therapy ; Peritoneum ; Prognosis ; Survival Rate
Language	Chinese
Publishing date	2021-10-11
Publishing country	China
Document type	Journal Article
ISSN	1671-0274
ISSN	1671-0274
DOI	10.3760/cma.j.cn.441530-20201105-00592
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Article: [Establishment of treatment center for peritoneal metastasis in colorectal cancer].

Qin, X S / Wang, H M / Huang, R K / Wang, H

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery

2023 Volume 26, Issue 5, Page(s) 429–433

Abstract: The prognosis of patients with peritoneal metastasis from colorectal cancer is poor. At present, the comprehensive treatment system based on cytoreductive surgery (CRS) combined with hyperthermic intraperitoneal chemotherapy (HIPEC) has significantly ... ...

Abstract	The prognosis of patients with peritoneal metastasis from colorectal cancer is poor. At present, the comprehensive treatment system based on cytoreductive surgery (CRS) combined with hyperthermic intraperitoneal chemotherapy (HIPEC) has significantly improved the survival of these patients. However, CRS and HIPEC have strict indications, high procedural difficulty, and high morbidity and mortality. If CRS+HIPEC is performed in an inexperienced center, overall survival and quality of life of patients may bo compromised. The establishment of specialized diagnosis and treatment centers can provide a guarantee for standardized clinical diagnosis and treatment. In this review, we first introduced the necessity of establishing a colorectal cancer peritoneal metastasis treatment center and the construction situation of the diagnosis and treatment center for peritoneal surface malignancies at home and abroad. Then we focused on introducing our construction experience of the colorectal peritoneal metastasis treatment center, and emphasized that the construction of the center must be done well in two aspects: firstly, the clinical optimization should be realized and the specialization of the whole workflow should be strengthened; secondly, we should ensure the quality of patient care and the rights, well-being and health of every patient.
MeSH term(s)	Humans ; Peritoneal Neoplasms/therapy ; Peritoneal Neoplasms/secondary ; Combined Modality Therapy ; Quality of Life ; Hyperthermia, Induced ; Chemotherapy, Cancer, Regional Perfusion ; Prognosis ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use ; Colorectal Neoplasms/pathology ; Cytoreduction Surgical Procedures ; Survival Rate
Language	Chinese
Publishing date	2023-05-22
Publishing country	China
Document type	Review ; English Abstract ; Journal Article
ISSN	1671-0274
ISSN	1671-0274
DOI	10.3760/cma.j.cn441530-20230214-00035
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Article: [Evaluation of the application value of seven tumor-associated autoantibodies in non-small cell lung cancer based on machine learning algorithms].

Hao, Y / Wu, L N / Lyu, Y T / Liu, Y Z / Qin, X S / Zheng, R

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine

2023 Volume 57, Issue 11, Page(s) 1827–1838

Abstract: Objective: ...

Abstract	Objective:
MeSH term(s)	Humans ; Carcinoma, Non-Small-Cell Lung/diagnosis ; Carcinoma, Non-Small-Cell Lung/pathology ; Carcinoma, Non-Small-Cell Lung/surgery ; Lung Neoplasms/diagnosis ; Retrospective Studies ; Autoantibodies ; Bayes Theorem ; Tumor Suppressor Protein p53 ; Carcinoembryonic Antigen ; Antigens, Neoplasm ; Biomarkers, Tumor ; Algorithms ; Pneumonia
Chemical Substances	antigen CYFRA21.1 ; Autoantibodies ; Tumor Suppressor Protein p53 ; Carcinoembryonic Antigen ; Antigens, Neoplasm ; Biomarkers, Tumor
Language	Chinese
Publishing date	2023-10-13
Publishing country	China
Document type	English Abstract ; Journal Article
ZDB-ID	604575-3
ISSN	0253-9624
ISSN	0253-9624
DOI	10.3760/cma.j.cn112150-20221111-01099
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Article: A fuzzy fractional programming model for optimizing water footprint of crop planting and trading in the Hai River Basin, China

Dai, C / Qin, X.S / Lu, W.T

Journal of cleaner production. 2021 Jan. 01, v. 278

2021

Abstract: This study integrates water footprint theory, fuzzy chance-constrained programming (FCCP) and fractional programming (FP) into a general optimization framework to help seek the optimal crop planting patterns for the agricultural water management (AWM) ... ...

Abstract	This study integrates water footprint theory, fuzzy chance-constrained programming (FCCP) and fractional programming (FP) into a general optimization framework to help seek the optimal crop planting patterns for the agricultural water management (AWM) system. The modeling framework can not only address the system objective as output-input ratios and tackles uncertainties by using fuzzy sets, but also help support the cleaner production of crops by controlling the portion of green, blue and grey water footprint. It also considers the efficiency of system’s economic water productivity, water footprint components control, water-food nexus, balance of crop trade benefit and water footprint loss of trading crops. This framework is applied to agricultural water planning and management in Hai River Basin, China. The study results indicated that more rice, sorghum and millet are desired in the central districts, the south-central districts and almost all districts, while wheat and maize need to be reduced over most districts. This optimal crop planting pattern (under γ=0.75) would reduce blue and grey water in the central and southeastern, and almost all districts, respectively, improve the basin’s economic water productivity by 139%, and increase the trade benefit by 0.35 × 10⁹ $ and reduce the total water footprint loss by 1.38 × 10⁹ m³. When the credibility level increased from 0.55 to 0.95, the optimal economic water productivity would decrease from 0.1280 to 0.1127 $/m³ associated with decreasing grey and blue water footprints, increasing trade benefit and decreasing footprint loss. It appeared that a higher credibility level would lead to a stricter control requirement for the fuzzy chance constrains and a greater drag on searching a better objective. Thus, the proposed modelling framework could help obtain a series of crop planting patterns under various credibility levels and ensure to optimize the water footprint of crop planting and trading under uncertainties.
Keywords	basins ; corn ; crop production ; crops ; grain sorghum ; greywater ; millets ; models ; planning ; planting ; rice ; trade ; uncertainty ; water footprint ; water management ; watersheds ; wheat ; China
Language	English
Dates of publication	2021-0101
Publishing place	Elsevier Ltd
Document type	Article
ISSN	0959-6526
DOI	10.1016/j.jclepro.2020.123196
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Article: Assessment of the effectiveness of a multi-site stochastic weather generator on hydrological modelling in the Red Deer River watershed, Canada

Dai, C / Qin, X. S

Hydrological sciences journal. 2019 Oct. 3, v. 64, no. 13

2019

Abstract: To improve the convergence of multiple-site weather generators (SWGs) based on the brute force algorithm (MBFA), a genetic algorithm (GA) is proposed to search the overall optimal correlation matrix. Precipitation series from weather generators are used ... ...

Abstract	To improve the convergence of multiple-site weather generators (SWGs) based on the brute force algorithm (MBFA), a genetic algorithm (GA) is proposed to search the overall optimal correlation matrix. Precipitation series from weather generators are used as input to the hydrological model, the soil and water assessment tool (SWAT), to generate runoff over the Red Deer watershed, Canada for further runoff analysis. The results indicate that the SWAT model using SWG-generated data accurately represents the mean monthly streamflow for most of the months. The multi-site generators were capable of better representing the monthly streamflow variability, which was notably underestimated by the single-site version. In terms of extreme flows, the proposed method reproduced the observed extreme flow with smaller bias than MBFA, while the single-site generator significantly underestimated the annual maximum flows due to its poor capability in addressing partial precipitation correlations.
Keywords	algorithms ; Cervus elaphus ; climate models ; rivers ; runoff ; Soil and Water Assessment Tool model ; stream flow ; watersheds ; Canada
Language	English
Dates of publication	2019-1003
Size	p. 1616-1628.
Publishing place	Taylor & Francis
Document type	Article
ISSN	2150-3435
DOI	10.1080/02626667.2019.1661416
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Article ; Online: Assessing adaptation measures on agricultural water productivity under climate change: A case study of Huai River Basin, China.

Dai, C / Qin, X S / Lu, W T / Huang, Y

The Science of the total environment

2020 Volume 721, Page(s) 137777

Abstract: This study explored an integrated framework to assess the effectiveness of adaptation measures on the water productivity (WP) of the agricultural water management (AWM) system in the Huai river basin of China considering climate change impact. The ... ...

Abstract	This study explored an integrated framework to assess the effectiveness of adaptation measures on the water productivity (WP) of the agricultural water management (AWM) system in the Huai river basin of China considering climate change impact. The adaptation measures include optimization of cropping pattern (OCP) and upgradation of irrigation techniques (UIT). The delta change method was used to downscale the climate variables from RCP4.5 and RCP8.5 of general circulation models (GCMs) during 2021-2050, the water footprint theory was used to estimate the spatial distribution of blue water to calculate the WP, and the nonlinear optimization model was used to seek optimal cropping pattern aiming at maximizing the system's WP. The changes in WP due to climate change and adaptation measures (e.g. combinations of OCP and UIT) were compared. Results indicated that WP under RCP4.5 and RCP8.5 would be 4.56% and 6.51% lower than those under the benchmark scenario, respectively. The mitigation rates to the negative impact of climate change on WP under RCP4.5 and RCP8.5 would be (1) 3.05% and 3.37% for the combination of spay irrigation technique and OCP, and (2) 4.34% and 4.59% for the combination of drip irrigation technique and OCP, respectively. It was revealed that the combination of drip irrigation and cropping pattern optimization could largely offset the adverse effect from climate change on WP under RCP4.5. Under such a scenario, the total plant areas of wheat and maize would reduce over the basin and so would the net export of crops in the basin; this would lead to a decrease in the crop trade benefit of 7.07 × 10
Language	English
Publishing date	2020-03-06
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2020.137777
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Article: Assessing adaptation measures on agricultural water productivity under climate change: A case study of Huai River Basin, China

Dai, C / Qin, X.S / Lu, W.T / Huang, Y

Science of the total environment. 2020 June 15, v. 721

2020

Abstract	This study explored an integrated framework to assess the effectiveness of adaptation measures on the water productivity (WP) of the agricultural water management (AWM) system in the Huai river basin of China considering climate change impact. The adaptation measures include optimization of cropping pattern (OCP) and upgradation of irrigation techniques (UIT). The delta change method was used to downscale the climate variables from RCP4.5 and RCP8.5 of general circulation models (GCMs) during 2021–2050, the water footprint theory was used to estimate the spatial distribution of blue water to calculate the WP, and the nonlinear optimization model was used to seek optimal cropping pattern aiming at maximizing the system's WP. The changes in WP due to climate change and adaptation measures (e.g. combinations of OCP and UIT) were compared. Results indicated that WP under RCP4.5 and RCP8.5 would be 4.56% and 6.51% lower than those under the benchmark scenario, respectively. The mitigation rates to the negative impact of climate change on WP under RCP4.5 and RCP8.5 would be (1) 3.05% and 3.37% for the combination of spay irrigation technique and OCP, and (2) 4.34% and 4.59% for the combination of drip irrigation technique and OCP, respectively. It was revealed that the combination of drip irrigation and cropping pattern optimization could largely offset the adverse effect from climate change on WP under RCP4.5. Under such a scenario, the total plant areas of wheat and maize would reduce over the basin and so would the net export of crops in the basin; this would lead to a decrease in the crop trade benefit of 7.07 × 109 $ and a relief of 7.50 × 109 m3 of blue water loss. This study results could offer strategic decision support for long-term sustainable AWM of Huai river basin in a changing environment.
Keywords	General Circulation Models ; adverse effects ; basins ; case studies ; climate change ; climatic factors ; corn ; cropping systems ; crops ; exports ; microirrigation ; spaying ; water footprint ; water management ; watersheds ; wheat ; China
Language	English
Dates of publication	2020-0615
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2020.137777
Database	NAL-Catalogue (AGRICOLA)

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Article: A multimodel assessment of drought characteristics and risks over the Huang-Huai-Hai River basin, China, under climate change

Dai, C / Qin, X. S / Lu, W. T / Zang, H. K

Theoretical and applied climatology. 2020 July, v. 141, no. 1-2

2020

Abstract: Drought has become one of the most serious meteorological disasters for agricultural production in many areas around the world, and the situation could be worse under the impact of climate change. To facilitate better adaptation planning, this study ... ...

Abstract	Drought has become one of the most serious meteorological disasters for agricultural production in many areas around the world, and the situation could be worse under the impact of climate change. To facilitate better adaptation planning, this study proposed a drought assessment framework integrating downscaling method, drought index, copula technique, and bivariate frequency analysis, and applied it to investigate the change of the drought characteristics and drought risks from the past to the future in Huang-Huai-Hai River basin (HRB), North China. Drought was firstly defined by standardized precipitation evapotranspiration index (SPEI) based on 1497 observed grid data from 1979 to 2004. Then, we constructed the joint distribution of drought duration and severity based on copulas to detect and quantify the drought risks. To address the effect of climate change, similar calculation process was applied to the future climate data, which was downscaled using delta change method from representative concentration pathway (RCP 8.5) of 12 general circulation models (GCMs). The study results suggested that, under climate change condition, most irrigation districts over HRB would generally experience lower frequency of drought events but with extended duration; some districts would have more serious drought, but majority would experience similar or even lower level of severity. In light of the mean joint occurrence probability, the irrigation district at the south part of Huai River basin would likely experience the highest increase of drought risks in near future (by 0.86%) and distant future (by 0.76%), while most of other districts over HRB would face low risk of serious drought risks. The obtained results offer useful information to agricultural managers or water resources authorities who are interested in the development of effective long-term adaptation strategies for drought management.
Keywords	climate change ; climatology ; drought ; evapotranspiration ; irrigation ; meteorological data ; risk ; watersheds ; China
Language	English
Dates of publication	2020-07
Size	p. 601-613.
Publishing place	Springer Vienna
Document type	Article
Note	NAL-AP-2-clean
ZDB-ID	1463177-5
ISSN	1434-4483 ; 0177-798X
ISSN (online)	1434-4483
ISSN	0177-798X
DOI	10.1007/s00704-020-03236-x
Database	NAL-Catalogue (AGRICOLA)

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Article: Assessing environmental risks through fuzzy parameterized probabilistic analysis

Qin, X. S

Stochastic environmental research and risk assessment. 2012 Jan., v. 26, no. 1

2012

Abstract: A fuzzy parameterized probabilistic analysis (FPPA) method was developed in this study to assess risks associated with environmental pollution-control problems. FPPA integrated environmental transport modeling, fuzzy transformation, probabilistic risk ... ...

Abstract	A fuzzy parameterized probabilistic analysis (FPPA) method was developed in this study to assess risks associated with environmental pollution-control problems. FPPA integrated environmental transport modeling, fuzzy transformation, probabilistic risk assessment, fuzzy risk quantification into a general risk assessment framework, and was capable of handling uncertainties expressed as fuzzy-parameterized stochastic distributions. The proposed method was applied to two environmental pollution problems, with one being about the point-source pollution in a river system with uncertain water quality parameters and the other being concerned with groundwater contaminant plume from waste landfill site with poorly known contaminant physical properties. The study results indicated that the complex uncertain features had significant impacts on modeling and risk-assessment outputs; the degree of impacts of modeling parameters were highly dependent on the level of imprecision of these parameters. The results also implied that FPPA was capable of addressing vagueness or imprecision associated with probabilistic risk evaluation, and help generate risk outputs that could be elucidated under different possibilistic levels. The proposed method could be used by environmental managers to evaluate trade-offs involving risks and costs, as well as identify management solutions that sufficiently hedge against dual uncertainties.
Keywords	groundwater ; landfills ; managers ; models ; physical properties ; point source pollution ; pollution control ; probabilistic risk assessment ; probability analysis ; risk ; risk assessment process ; rivers ; water quality
Language	English
Dates of publication	2012-01
Size	p. 43-58.
Publishing place	Springer-Verlag
Document type	Article
ZDB-ID	1481263-0
ISSN	1436-3259 ; 1436-3240 ; 0931-1955
ISSN (online)	1436-3259
ISSN	1436-3240 ; 0931-1955
DOI	10.1007/s00477-010-0454-4
Database	NAL-Catalogue (AGRICOLA)

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Article: Dealing with equality and benefit for water allocation in a lake watershed: A Gini-coefficient based stochastic optimization approach

Dai, C / Qin, X.S / Chen, Y / Guo, H.C

Journal of hydrology. 2018 June, v. 561

2018

Abstract: A Gini-coefficient based stochastic optimization (GBSO) model was developed by integrating the hydrological model, water balance model, Gini coefficient and chance-constrained programming (CCP) into a general multi-objective optimization modeling ... ...

Abstract	A Gini-coefficient based stochastic optimization (GBSO) model was developed by integrating the hydrological model, water balance model, Gini coefficient and chance-constrained programming (CCP) into a general multi-objective optimization modeling framework for supporting water resources allocation at a watershed scale. The framework was advantageous in reflecting the conflicting equity and benefit objectives for water allocation, maintaining the water balance of watershed, and dealing with system uncertainties. GBSO was solved by the non-dominated sorting Genetic Algorithms-II (NSGA-II), after the parameter uncertainties of the hydrological model have been quantified into the probability distribution of runoff as the inputs of CCP model, and the chance constraints were converted to the corresponding deterministic versions. The proposed model was applied to identify the Pareto optimal water allocation schemes in the Lake Dianchi watershed, China. The optimal Pareto-front results reflected the tradeoff between system benefit (αSB) and Gini coefficient (αG) under different significance levels (i.e. q) and different drought scenarios, which reveals the conflicting nature of equity and efficiency in water allocation problems. A lower q generally implies a lower risk of violating the system constraints and a worse drought intensity scenario corresponds to less available water resources, both of which would lead to a decreased system benefit and a less equitable water allocation scheme. Thus, the proposed modeling framework could help obtain the Pareto optimal schemes under complexity and ensure that the proposed water allocation solutions are effective for coping with drought conditions, with a proper tradeoff between system benefit and water allocation equity.
Keywords	drought ; hydrologic models ; lakes ; probability distribution ; resource allocation ; risk ; runoff ; uncertainty ; water allocation ; watersheds ; China
Language	English
Dates of publication	2018-06
Size	p. 322-334.
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	1473173-3
ISSN	0022-1694
ISSN	0022-1694
DOI	10.1016/j.jhydrol.2018.04.012
Database	NAL-Catalogue (AGRICOLA)

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