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| 1 | Individualized prediction of perineural invasion in colorectal cancer: development and validation of a radiomics prediction model显示文摘Objective: To develop and validate a radiomics prediction model for individualized prediction of perineural invasion(PNI) in colorectal cancer(CRC).Methods: After computed tomography(CT) radiomics features extraction, a radiomics signature was constructed in derivation cohort(346 CRC patients). A prediction model was developed to integrate the radiomics signature and clinical candidate predictors [age, sex, tumor location, and carcinoembryonic antigen(CEA) level]. Apparent prediction performance was assessed. After internal validation, independent temporal validation(separate from the cohort used to build the model) was then conducted in 217 CRC patients. The final model was converted to an easy-to-use nomogram.Results: The developed radiomics nomogram that integrated the radiomics signature and CEA level showed good calibration and discrimination performance [Harrell's concordance index(c-index): 0.817; 95% confidence interval(95% CI): 0.811–0.823]. Application of the nomogram in validation cohort gave a comparable calibration and discrimination(c-index: 0.803; 95% CI: 0.794–0.812).Conclusions: Integrating the radiomics signature and CEA level into a radiomics prediction model enables easy and effective risk assessment of PNI in CRC. This stratification of patients according to their PNI status may provide a basis for individualized auxiliary treatment. | Yanqi Huang Lan He Di Dong Caiyun Yang Cuishan Liang Xin Chen Zelan Ma Xiaomei Huang Su Yao Changhong Liang Jie Tian Zaiyi Liu | 2018 | Chinese Journal of Cancer Research2018，30，1： | 23 |
| 2 | Sintilimab versus docetaxel as second-line treatment in advanced or metastatic squamous non-small-cell lung cancer:an open-label,randomized controlled phase 3 trial(ORIENT-3)显示文摘Background:Treatment options for Chinese patients with locally advanced or metastatic squamous-cell non-small-cell lung cancer(sqNSCLC)after failure of first-line chemotherapy are limited.This study(ORIENT-3)aimed to evaluate the efficacy and safety of sintilimab versus docetaxel as second-line treatment in patients with locally advanced or metastatic sqNSCLC.Methods:ORIENT-3 was an open-label,multicenter,randomized controlled phase 3 trial that recruited patients with stage IIIB/IIIC/IV sqNSCLC after failure with first-line platinum-based chemotherapy.Patients were randomized in a 1:1 ratio to receive either 200 mg of sintilimab or 75 mg/m^(2) of docetaxel intravenously every 3 weeks,stratified by the Eastern Cooperative Oncology Group performance status.The primary endpoint was overall survival(OS)in the full analysis set(FAS).Secondary endpoints included progression-free survival(PFS),objective response rate(ORR),disease control rate(DCR),duration of response(DoR)and safety.Results:Between August 25,2017,and November 7,2018,290 patients were randomized.For FAS,10 patients fromthe docetaxel armwere excluded.Themedian OS was 11.79(n=145;95%confidence interval[CI],10.28-15.57)months with sintilimab versus 8.25(n=135;95%CI,6.47-9.82)months with docetaxel(hazard ratio[HR]:0.74;95%CI,0.56-0.96;P=0.025).Sintilimab treatment significantly prolonged PFS(median 4.30 vs.2.79 months;HR:0.52;95%CI,0.39-0.68;P<0.001)and showed higher ORR(25.50%vs.2.20%,P<0.001)and DCR(65.50%vs.37.80%,P<0.001)than the docetaxel arm.The median DoRwas 12.45(95%CI,4.86-25.33)months in the sintilimab arm and 4.14(95%CI,1.41-7.23)months in the docetaxel arm(P=0.045).Treatment-related adverse events of grade≥3were reported in 26(18.1%)patients in the sintilimab arm and 47(36.2%)patients in the docetaxel arm.Exploratory biomarker analysis showed potential predictive values of expression levels of two transcription factors,including OVOL2(HR:0.35;P<0.001)and CTCF(HR:3.50;P<0.001),for sintilimab treatment.Conclusions:Compared with docetaxel,sintilimab significantly improved the OS,PFS,and ORR of Chinese patients with previously treated locally advanced or metastatic sqNSCLC. | Yuankai Shi Lin Wu Xinmin Yu Puyuan Xing Yan Wang Jianying Zhou Airong Wang Jianhua Shi Yi Hu Ziping Wang Guangyu An Yong Fang Sanyuan Sun Caicun Zhou Changli Wang Feng Ye Xingya Li Junye Wang Mengzhao Wang Yunpeng Liu Yanqiu Zhao Ying Yuan Jifeng Feng Zhendong Chen Jindong Shi Tao Sun Gang Wu Yongqian Shu Qisen Guo Yi Zhang Yong Song Shucai Zhang Yuan Chen Wei Li Hongrui Niu Wenwei Hu Lijun Wang Jianan Huang Yang Zhang Ying Cheng Zhengdong Wu Bo Peng Jiya Sun Christoph Mancao Yanqi Wang Luyao Sun | 2022 | Cancer Communications2022，42，12： | 8 |
| 3 | Radiomics-based predictive risk score: A scoring system for preoperatively predicting risk of lymph node metastasis in patients with resectable non-small cell lung cancer显示文摘Objective: To develop and validate a radiomics-based predictive risk score(RPRS) for preoperative prediction of lymph node(LN) metastasis in patients with resectable non-small cell lung cancer(NSCLC).Methods: We retrospectively analyzed 717 who underwent surgical resection for primary NSCLC with systematic mediastinal lymphadenectomy from October 2007 to July 2016. By using the method of radiomics analysis, 591 computed tomography(CT)-based radiomics features were extracted, and the radiomics-based classifier was constructed. Then, using multivariable logistic regression analysis, a weighted score RPRS was derived to identify LN metastasis. Apparent prediction performance of RPRS was assessed with its calibration,discrimination, and clinical usefulness.Results: The radiomics-based classifier was constructed, which consisted of 13 selected radiomics features.Multivariate models demonstrated that radiomics-based classifier, age group, tumor diameter, tumor location, and CT-based LN status were independent predictors. When we assigned the corresponding score to each variable,patients with RPRSs of 0-3, 4-5, 6, 7-8, and 9 had distinctly very low(0%-20%), low(21%-40%), intermediate(41%-60%), high(61%-80%), and very high(81%-100%) risks of LN involvement, respectively. The developed RPRS showed good discrimination and satisfactory calibration (C-index: 0.785, 95% confidence interval(95% CI):0.780-0.790)Additionally, RPRS outperformed the clinicopathologic-based characteristics model with net reclassification index(NRI) of 0.711(95% CI: 0.555-0.867).Conclusions: The novel clinical scoring system developed as RPRS can serve as an easy-to-use tool to facilitate the preoperatively individualized prediction of LN metastasis in patients with resectable NSCLC. This stratification of patients according to their LN status may provide a basis for individualized treatment. | Lan He Yanqi Huang Lixu Yan Junhui Zheng Changhong Liang Zaiyi Liu | 2019 | Chinese Journal of Cancer Research2019，31，4： | 7 |
| 4 | Ultrafast nonlinear absorption and nonlinear refraction in few-layer oxidized black phosphorus显示文摘We experimentally investigated the nonlinear optical response in few-layer oxidized black phosphorus(OBP) by the femtosecond Z-scan measurement technique, and found that OBP not only possesses strong ultrafast saturable absorption but also a nonlinear self-defocusing effect that is absent in black phosphorus(BP). The saturable absorption property originates mainly from the direct band structure, which is still maintained in OBP. The emergence of self-defocusing might originate from the combined consequences of the oxygen-induced defects in BP. Our experimental findings might constitute the first experimental evidence on how to dynamically tune its nonlinear property, offering an inroad in tailoring its optical properties through chemical modification(oxidation, introducing defects, etc.). The versatile ultrafast nonlinear optical properties(saturable absorption and self-defocusing) imply a significant potential of the layered OBP in the development of unprecedented optoelectronic devices, such as mode lockers, optical switches, laser beam shapers, and wavelength converters. | Shunbin Lu Yanqi Ge Zhengbo Sun Zongyu Huang Rui Cao Chujun Zhao Shuangchun Wen Dianyuan Fan Jianqing Li Han Zhang | 2016 | Photonics Research2016，4，6： | 5 |
| 5 | Superior anti-corrosion and self-healing bi-functional polymer composite coatings with polydopamine modified mesoporous silica/graphene oxide显示文摘In this article,graphene oxide(GO)and benzotriazole-loaded mesoporous silica nanoparticles(BTA/MSNs)are combined on micro scale through the in situ polymerization of polydopamine(PDA),preparing a selfhealing bi-functional GO(fGO)used as nano-fillers for anti-corrosion enhancement of waterborne epoxy(WEP)coatings.Scanning electronic microscopy(SEM)images show that the BTA/MSNs are uniformly distributed on the surface of high aspect ratio GO nanosheets to endow GO nanocontainer characteristics.UV-vis profiles demonstrate that fGO has p H-controlled release function.Modulus at lowest frequency is generally used for comparing the corrosion resistance of organic coatings.Modulus at lowest frequency(1.42×10^(5)Ωcm^(2))after 30 days immersion in 3.5 wt.%Na Cl solution revealed 2 orders of magnitude higher that of blank WEP(1.17×10^(7)Ωcm^(2)).With artificial cracks on its coatings,fGO/WEP had no obvious rust compared with blank WEP after 240 h of immersion.We anticipate that self-healing and physical barrier bi-functional nanocontainers improve the traditional anticorrosion coating efficiency with better,longer-lasting performance for shipping,oil drilling or bridge maintenance. | Yanqi Ma Haowei Huang Hongda Zhou Michael Graham James Smith Xinxin Sheng Ying Chen Li Zhang Xinya Zhang Elena Shchukina Dmitry Shchukin | 2021 | Journal of Materials Science & Technology2021，，36： | 4 |
| 6 | Evaluation of human epidermal growth factor receptor 2 status of breast cancer using preoperative multidetector computed tomography with deep learning and handcrafted radiomics features显示文摘Objective:To evaluate the human epidermal growth factor receptor 2(HER2)status in patients with breast cancer using multidetector computed tomography(MDCT)-based handcrafted and deep radiomics features.Methods:This retrospective study enrolled 339 female patients(primary cohort,n=177;validation cohort,n=162)with pathologically confirmed invasive breast cancer.Handcrafted and deep radiomics features were extracted from the MDCT images during the arterial phase.After the feature selection procedures,handcrafted and deep radiomics signatures and the combined model were built using multivariate logistic regression analysis.Performance was assessed by measures of discrimination,calibration,and clinical usefulness in the primary cohort and validated in the validation cohort.Results:The handcrafted radiomics signature had a discriminative ability with a C-index of 0.739[95%confidence interval(95%CI):0.661-0.818]in the primary cohort and 0.695(95%CI:0.609-0.781)in the validation cohort.The deep radiomics signature also had a discriminative ability with a C-index of 0.760(95%CI:0.690-0.831)in the primary cohort and 0.777(95%CI:0.696-0.857)in the validation cohort.The combined model,which incorporated both the handcrafted and deep radiomics signatures,showed good discriminative ability with a C-index of 0.829(95%CI:0.767-0.890)in the primary cohort and 0.809(95%CI:0.740-0.879)in the validation cohort.Conclusions:Handcrafted and deep radiomics features from MDCT images were associated with HER2 status in patients with breast cancer.Thus,these features could provide complementary aid for the radiological evaluation of HER2 status in breast cancer. | Xiaojun Yang Lei Wu Ke Zhao Weitao Ye Weixiao Liu Yingyi Wang Jiao Li Hanxiao Li Xiaomei Huang Wen Zhang Yanqi Huang Xin Chen Su Yao Zaiyi Liu Changhong Liang | 2020 | Chinese Journal of Cancer Research2020，32，2： | 4 |
| 7 | A radiomics prognostic scoring system for predicting progression-free survival in patients with stageⅣnon-small cell lung cancer treated with platinum-based chemotherapy显示文摘Objective:To develop and validate a radiomics prognostic scoring system(RPSS)for prediction of progressionfree survival(PFS)in patients with stageⅣnon-small cell lung cancer(NSCLC)treated with platinum-based chemotherapy.Methods:In this retrospective study,four independent cohorts of stageⅣNSCLC patients treated with platinum-based chemotherapy were included for model construction and validation(Discovery:n=159;Internal validation:n=156;External validation:n=81,Mutation validation:n=64).First,a total of 1,182 three-dimensional radiomics features were extracted from pre-treatment computed tomography(CT)images of each patient.Then,a radiomics signature was constructed using the least absolute shrinkage and selection operator method(LASSO)penalized Cox regression analysis.Finally,an individualized prognostic scoring system incorporating radiomics signature and clinicopathologic risk factors was proposed for PFS prediction.Results:The established radiomics signature consisting of 16 features showed good discrimination for classifying patients with high-risk and low-risk progression to chemotherapy in all cohorts(All P<0.05).On the multivariable analysis,independent factors for PFS were radiomics signature,performance status(PS),and N stage,which were all selected into construction of RPSS.The RPSS showed significant prognostic performance for predicting PFS in discovery[C-index:0.772,95%confidence interval(95%CI):0.765-0.779],internal validation(C-index:0.738,95%CI:0.730-0.746),external validation(C-index:0.750,95%CI:0.734-0.765),and mutation validation(Cindex:0.739,95%CI:0.720-0.758).Decision curve analysis revealed that RPSS significantly outperformed the clinicopathologic-based model in terms of clinical usefulness(All P<0.05).Conclusions:This study established a radiomics prognostic scoring system as RPSS that can be conveniently used to achieve individualized prediction of PFS probability for stageⅣNSCLC patients treated with platinumbased chemotherapy,which holds promise for guiding personalized pre-therapy of stageⅣNSCLC. | Lan He Zhenhui Li Xin Chen Yanqi Huang Lixu Yan Changhong Liang Zaiyi Liu | 2021 | Chinese Journal of Cancer Research2021，33，5： | 3 |
| 8 | Coupling radiomics analysis of CT image with diversification of tumor ecosystem: A new insight to overall survival in stage Ⅰ-Ⅲ colorectal cancer显示文摘Objective: This study aimed to establish a method to predict the overall survival(OS) of patients with stage Ⅰ-Ⅲ colorectal cancer(CRC) through coupling radiomics analysis of CT images with the measurement of tumor ecosystem diversification.Methods: We retrospectively identified 161 consecutive patients with stage Ⅰ-Ⅲ CRC who had underwent radical resection as a training cohort. A total of 248 patients were recruited for temporary independent validation as external validation cohort 1, with 103 patients from an external institute as the external validation cohort 2. CT image features to describe tumor spatial heterogeneity leveraging the measurement of diversification of tumor ecosystem, were extracted to build a marker, termed the EcoRad signature. Multivariate Cox regression was used to assess the EcoRad signature, with a prediction model constructed to demonstrate its incremental value to the traditional staging system for OS prediction.Results: The EcoRad signature was significantly associated with OS in the training cohort [hazard ratio(HR)=6.670;95% confidence interval(95% CI): 3.433-12.956;P<0.001), external validation cohort 1(HR=2.866;95% CI: 1.646-4.990;P<0.001) and external validation cohort 2(HR=3.342;95% CI: 1.289-8.663;P=0.002).Incorporating the EcoRad signature into the prediction model presented a higher prediction ability(P<0.001) with respect to the C-index(0.813, 95% CI: 0.804-0.822 in the training cohort;0.758, 95% CI: 0.751-0.765 in the external validation cohort 1;and 0.746, 95% CI: 0.722-0.770 in external validation cohort 2), compared with the reference model that only incorporated tumor, node, metastasis(TNM) system, as well as a better calibration,improved reclassification and superior clinical usefulness.Conclusions: This study establishes a method to measure the spatial heterogeneity of CRC through coupling radiomics analysis with measurement of diversification of the tumor ecosystem, and suggests that this approach could effectively predict OS and could be used as a supplement for risk stratification among stage Ⅰ-Ⅲ CRC patients. | Yanqi Huang Lan He Zhenhui Li Xin Chen Chu Han Ke Zhao Yuan Zhang Jinrong Qu Yun Mao Changhong Liang Zaiyi Liu | 2022 | Chinese Journal of Cancer Research2022，34，1： | 2 |
| 9 | Molecular mapping of QTLs for resistance to the green bug Schizap his graminum(Ron- dani)in Sorghum bicolor(Moench)显示文摘 | Wu Yanqi Huang Yinghua | 2008 | Theor AppI Genet2008，117，1： | 1 |
| 10 | Rapid synthesis of high quality MCM-41 silica with ultrasound radiation显示文摘 | Xianghai Tang Sunwen Liu Yanqi Wang Weiping Huang Elena Sominski Oleg Palchik Yuri Koltypin Aharon Gedanken | 2000 | Chem Commun2000，21，： | 1 |
| 11 | Development of low-coherence high-power laser drivers for inertial confinement fusion显示文摘The use of low-coherence light is expected to be one of the effective ways to suppress or even eliminate the laser–plasma instabilities that arise in attempts to achieve inertial confinement fusion.In this paper,a review of low-coherence high-power laser drivers and related key techniques is first presented.Work at typical low-coherence laser facilities,including Gekko XII,PHEBUS,Pharos III,and Kanal-2 is described.The many key techniques that are used in the research and development of low-coherence laser drivers are described and analyzed,including low-coherence source generation,amplification,harmonic conversion,and beam smoothing of low-coherence light.Then,recent progress achieved by our group in research on a broadband low-coherence laser driver is presented.During the development of our low-coherence high-power laser facility,we have proposed and implemented many key techniques for working with low-coherence light,including source generation,efficient amplification and propagation,harmonic conversion,beam smoothing,and precise beam control.Based on a series of technological breakthroughs,a kilojoule low-coherence laser driver named Kunwu with a coherence time of only 300 fs has been built,and the first round of physical experiments has been completed.This high-power laser facility provides not only a demonstration and verification platform for key techniques and system integration of a low-coherence laser driver,but also a new type of experimental platform for research into,for example,high-energy-density physics and,in particular,laser–plasma interactions. | Yanqi Gao Yong Cui Lailin Ji Daxing Rao Xiaohui Zhao Fujian Li Dong Liu Wei Feng Lan Xia Jiani Liu Haitao Shi Pengyuan Du Jia Liu Xiaoli Li Tao Wang Tianxiong Zhang Chong Shan Yilin Hua Weixin Ma Xun Sun Xianfeng Chen Xiuguang Huang Jian Zhu Wenbing Pei Zhan Sui Sizu Fu | 2020 | Matter and Radiation at Extremes2020，5，6： | 1 |
| 12 | Angiomyolipoma with Minimal Fat显示文摘 | Lifen Yan Zaiyi Liu Guangyi Wang Yanqi Huang Yubao Liu Yuanxin Yu Changhong Liang | 2015 | Academic Radiology2015，，： | 1 |
| 13 | MRI quantification of non‐Gaussian water diffusion in normal human kidney: a diffusional kurtosis imaging study显示文摘 | Yanqi Huang Xin Chen Zhongping Zhang Lifen Yan Dan Pan Changhong Liang Zaiyi Liu | 2015 | NMR Biomed2015，，： | 1 |
| 14 | Molecular mapping of QTLs for resistance to the greenbug Schizaphis graminum (Rondani) in Sorghum bicolor (Moench) 显示文摘 | Yanqi Wu Yinghua Huang | 2008 | Theor Appl Genet2008，，117： | 1 |
| 15 | Differences in functional magnetic resonance imaging following cutaneous and routine acupuncture at different acupoints显示文摘Few studies have examined the effects of different stimuli at a single acupoint using functional magnetic resonance imaging.The present study applied acupuncture at the Neiguan(PC 6),Waiguan(SJ 5),Zhigou(SJ 6) and Yanglingquan(GB 34) acupoints in healthy volunteers.fMRI was used to examine the activation of brain areas in response to different types of acupuncture(cutaneous or routine acupuncture) at each acupoint.There were no significant differences in the distribution of activation in the regions of interest between cutaneous and routine acupuncture at the Neiguan,Waiguan,and Zhigou acupoints,but some differences were observed between the two methods of acupuncture at the Yanglingquan acupoint.There were no significant differences in the intensity of induced activation between cutaneous and routine acupuncture at the Neiguan,Zhigou and Yanglingquan acupoints,but the activation intensity in the right cerebellum induced by routine acupuncture at the Waiguan acupoint was greater than that induced by cutaneous acupuncture.Results confirmed that cutaneous and routine acupuncture at the Neiguan,Waiguan,Zhigou and Yanglingquan acupoints activated different functional brain areas,and caused activation of different intensities in some areas. | Yangjia Lu Junxian Wu Yanqi Zou Junqi Chen Baoci Shan Jiarong Chen Yong Huang | 2011 | Neural Regeneration Research2011，6，15： | 1 |
| 16 | Ferrite hollow spheres with tunable magnetic properties显示文摘 | Yanqi Zhang Zhongbing Huang Fangqiong Tang Jun Ren | 2006 | Thin Solid Films2006，，4： | 1 |
| 17 | Unexpected divergence in magnetoreceptor MagR from robin and pigeon linked to two sequence variations显示文摘Birds exhibit extraordinary mobility and remarkable navigational skills,obtaining guidance cues from the Earth’s magnetic field for orientation and long-distance movement.Bird species also show tremendous diversity in navigation strategies,with considerable differences even within the same taxa and among individuals from the same population.The highly conserved iron and iron-sulfur cluster binding magnetoreceptor(MagR)protein is suggested to enable animals,including birds,to detect the geomagnetic field and navigate accordingly.Notably,MagR is also implicated in other functions,such as electron transfer and biogenesis of iron-sulfur clusters,raising the question of whether variability exists in its biochemical and biophysical features among species,particularly birds.In the current study,we conducted a comparative analysis of MagR from two different bird species,including the migratory European robin(Erithacus rubecula)and the homing pigeon(Columba livia).Sequence alignment revealed an extremely high degree of similarity between the MagRs of these species,with only three sequence variations.Nevertheless,two of these variations underpinned significant differences in metal binding capacity,oligomeric state,and magnetic properties.These findings offer compelling evidence for the marked differences in MagR between the two avian species,potentially explaining how a highly conserved protein can mediate such diverse functions. | Shun Wang Peng Zhang Fan Fei Tianyang Tong Xiujuan Zhou Yajie Zhou Jing Zhang Mengke Wei Yanqi Zhang Lei Zhang Yulong Huang Lin Zhang Xin Zhang Tiantian Cai Can Xie | 2024 | Zoological Research2024，45，1： | 0 |
| 18 | Deep learning quantified mucus-tumor ratio predicting survival of patients with colorectal cancer using whole-slide images显示文摘Background:In colorectal cancer(CRC),mucinous adenocarcinoma differs from other adenocarcinomas in gene-phenotype,morphology,and prognosis.However,mucinous components are present in a large number of adenocarcinomas,and the prognostic value of mucus proportion has not been investigated.Artificial intelligence provides a way to quantify mucus proportion on whole-slide images(WSIs)accurately.We aimed to quantify mucus proportion by deep learning and further investigate its prognostic value in two CRC patient cohorts.Methods:Deep learning was used to segment WSIs stained with hematoxylin and eosin.Mucus-tumor ratio(MTR)was defined as the proportion of mucinous component in the tumor area.A training cohort(N=419)and a validation cohort(N=315)were used to evaluate the prognostic value of MTR.Survival analysis was performed using the Cox proportional hazard model.Result:Patients were stratified tomucus-low andmucus-high groups,with 24.1%as the threshold.In the training cohort,patients with mucus-high had unfavorable outcomes(hazard ratio for high vs.low 1.88,95%confidence interval 1.18–2.99,P=0.008),with 5-year overall survival rates of 54.8%and 73.7%in mucus-high and mucus-lowgroups,respectively.The resultswere confirmed in the validation cohort(2.09,1.21–3.60,0.008;62.8%vs.79.8%).The prognostic value of MTR was maintained in multivariate analysis for both cohorts.Conclusion:The deep learning quantified MTR was an independent prognostic factor in CRC.With the advantages of advanced efficiency and high consistency,our method is suitable for clinical application and promotes precision medicine development. | Ke Zhao Lin Wu Yanqi Huang Su Yao Zeyan Xu Huan Lin Huihui Wang Yanting Liang Yao Xu Xin Chen Minning Zhao Jiaming Peng Yuli Huang Changhong Liang Zhenhui Li Yong Li Zaiyi Liu | 2021 | Precision Clinical Medicine2021，4，1： | 0 |
| 19 | Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer显示文摘Background:Distinguishing anorectal malignant melanoma from low rectal cancer remains challenging because of the overlap of clinical symptoms and imaging findings.We aim to investigate whether combining quantitative and qualitative magnetic resonance imaging(MRI)features could differentiate anorectal malignant melanoma from low rectal cancer.Methods:Thirty-seven anorectal malignant melanoma and 98 low rectal cancer patients who underwent preoperative rectal MRI from three hospitals were retrospectively enrolled.All patients were divided into the primary cohort(N=84)and validation cohort(N=51).Quantitative image analysiswas performed on T1-weighted(T1WI),T2-weighted(T2WI),and contrast-enhanced T1-weighted imaging(CE-T1WI).The subjective qualitative MRI findings were evaluated by two radiologists in consensus.Multivariable analysis was performed using stepwise logistic regression.The discrimination performance was assessed by the area under the receiver operating characteristic curve(AUC)with a 95%confidence interval(CI).Results:The skewness derived from T2WI(T2WI-skewness)showed the best discrimination performance among the entire quantitative image features for differentiating anorectal malignant melanoma from low rectal cancer(primary cohort:AUC=0.852,95%CI 0.788–0.916;validation cohort:0.730,0.645–0.815).Multivariable analysis indicated that T2WI-skewness and the signal intensity of T1WI were independent factors,and incorporating both factors achieved good discrimination performance in two cohorts(primary cohort:AUC=0.913,95%CI 0.868–0.958;validation cohort:0.902,0.844–0.960).Conclusions:Incorporating T2WI-skewness and the signal intensity of T1WI achieved good performance for differentiating anorectal malignant melanoma from low rectal cancer.The quantitative image analysis helps improve diagnostic accuracy. | Zeyan Xu Ke Zhao Lujun Han Pinxiong Li Zhenwei Shi Xiaomei Huang Chu Han Huihui Wang Minglei Chen Chen Liu Yanting Liang Suyun Li Yanqi Huang Xin Chen Changhong Liang Wuteng Cao Zaiyi Liu | 2021 | Precision Clinical Medicine2021，4，2： | 0 |
| 20 | Prognostic value of a modified Immunoscore in patients with stage Ⅰ-Ⅲ resectable colon cancer显示文摘Objective: The Immunoscore method has proved fruitful for predicting prognosis in patients with colon cancer.However, there is still room for improvement in this scoring method to achieve further advances in its clinical translation. This study aimed to develop and validate a modified Immunoscore(IS-mod) system for predicting overall survival(OS) in patients with stage Ⅰ-Ⅲ colon cancer.Methods: The IS-mod was proposed by counting CD3+ and CD8+ immune cells in regions of the tumor core and its invasive margin by drawing two lines of interest. A discovery cohort(N=212) and validation cohort(N=103)from two centers were used to evaluate the prognostic value of the IS-mod.Results: In the discovery cohort, 5-year survival rates were 88.6% in the high IS-mod group and 60.7% in the low IS-mod group. Multivariate analysis confirmed that the IS-mod was an independent prognostic factor for OS[adjusted hazard ratio(HR)=0.36, 95% confidence interval(95% CI): 0.20-0.63]. With less annotation and computation cost, the IS-mod achieved performance comparable to that of the Immunoscore-like(IS-like) system(C-index, 0.676 vs. 0.661, P=0.231). The 2-category IS-mod using 47.5% as the threshold had a better prognostic value than that using a fixed threshold of 25%(C-index, 0.653 vs. 0.573, P=0.004). Similar results were confirmed in the validation cohort.Conclusions: Our method simplifies the annotation and accelerates the calculation of Immunoscore method,thus making it easier for clinical implementation. The IS-mod achieved comparable prognostic performance when compared to the IS-like system in both cohorts. Besides, we further found that even with a small reference set(N≥120), the IS-mod still demonstrated a stable prognostic value. This finding may inspire other institutions to develop a local reference set of an IS-mod system for more accurate risk stratification of colon cancer. | Ke Zhao Xiaomei Wu Zhenhui Li Yingyi Wang Zeyan Xu Yajun Li Lin Wu Su Yao Yanqi Huang Changhong Liang Zaiyi Liu | 2021 | Chinese Journal of Cancer Research2021，33，3： | 0 |
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