The Gleason grade group(GG)is an important basis for assessing the malignancy of prostate can-cer,but it requires invasive biopsy to obtain pathology.To noninvasively evaluate GG,an automatic prediction method is prop...The Gleason grade group(GG)is an important basis for assessing the malignancy of prostate can-cer,but it requires invasive biopsy to obtain pathology.To noninvasively evaluate GG,an automatic prediction method is proposed based on multi-scale convolutional neural network of the ensemble attention module trained with curriculum learning.First,a lesion-attention map based on the image of the region of interest is proposed in combination with the bottleneck attention module to make the network more focus on the lesion area.Second,the feature pyramid network is combined to make the network better learn the multi-scale information of the lesion area.Finally,in the network training,a curriculum based on the consistency gap between the visual evaluation and the pathological grade is proposed,which further improves the prediction performance of the network.Ex-perimental results show that the proposed method is better than the traditional network model in predicting GG performance.The quadratic weighted Kappa is 0.4711 and the positive predictive value for predicting clinically significant cancer is 0.9369.展开更多
Utilising dissolved gases analysis, a new insulation fault diagnosis methodfor power transformers is proposed. This method is based on the group grey relational grade analysismethod. First, according to the fault type...Utilising dissolved gases analysis, a new insulation fault diagnosis methodfor power transformers is proposed. This method is based on the group grey relational grade analysismethod. First, according to the fault type and grey reference sequence structure, some typicalfault samples are divided into several sets of grey reference sequences. These sets are structuredas one grey reference sequence group. Secondly, according to a new calculation method of the greyrelational coefficient, the individual relational coefficient and grade are computed. Then accordingto the given calculation method for the group grey relation grade, the group grey relational gradeis computed and the group grey relational grade matrix is structured. Finally, according to therelational sequence, the insulation fault is identified for power transformers. The results of alarge quantity of instant analyses show that the proposed method has higher diagnosis accuracy andreliability than the three-ratio method and the traditional grey relational method. It has goodclassified diagnosis ability and reliability.展开更多
We performed this study to investigate pathological upgrading from biopsy to prostatectomy and clinicopathological factors associated with grade group(GG)upgrading in patients with International Society of Urological ...We performed this study to investigate pathological upgrading from biopsy to prostatectomy and clinicopathological factors associated with grade group(GG)upgrading in patients with International Society of Urological Pathology(ISUP)GG 1 and 2 prostate cancer(PCa)in a Chinese cohort.We included patients diagnosed with PCa with ISUP GG 1 and 2 at biopsy,who underwent RP at our institution.Pre-and postoperative clinical variables were examined.Univariate and multivariate logistic regression analyses were conducted to identify independent factors associated with GG upgrading.Patients in GG upgraded group had higher total prostatespecific antigen(tPSA;median:14.43 ng ml^(−1) vs 10.52 ng ml^(−1),P=0.001)and PSA density(PSAD;median:0.45 ng ml^(−2) vs 0.27 ng ml^(−2),P<0.001)than those in GG nonupgraded group.Patients in upgraded group had a higher ratio for Prostate ImagingReporting and Data System(PI-RADS)score>3(86.4%vs 67.9%,P<0.001).Those with GG 1 in biopsy were more likely to experience GG upgrading after RP than those with GG 2(71 vs 54,P=0.016).Independent preoperative factors predicting GG upgrading were PI-RADS score>3(odds ratio[OR]:2.471,95%confidence interval[CI]:1.132–5.393;P=0.023),higher PSAD(P=0.001),and GG in biopsy(OR:0.241,95%CI:0.123–0.471;P<0.001).The histopathological analyses of RP specimens revealed that perineural invasion(PNI;OR:1.839,95%CI:1.027–3.490;P=0.041)was identified as an independent factor associated with GG upgrading.Our results revealed that GG in the biopsy,PSAD,PI-RADS score>3,and PNI were independent factors of GG upgrading.These factors should be considered for patients with ISUP grade≤2 PCa.展开更多
Mixed gliomas, primarily oligoastrocytomas, account for about 5%-10% of all gliomas. Distinguishing oligoastrocytoma based on histological features alone has limitations in predicting the exact biological behavior, ne...Mixed gliomas, primarily oligoastrocytomas, account for about 5%-10% of all gliomas. Distinguishing oligoastrocytoma based on histological features alone has limitations in predicting the exact biological behavior, necessitating ancillary markers for greater specificity. In this case report, human telomerase reverse transcriptase(hT ERT) and high mobility group-A1(HMGA1); markers of proliferation and stemness, have been quantitatively analyzed in formalin-fixed paraffin-embedded tissue samples of a 34 years old patient with oligoastrocytoma. Customized florescence-based immunohistochemistry protocol with enhanced sensitivity and specificity is used in the study. The patient presented with a history of generalized seizures and his magnetic resonance imaging scans revealed infiltrative ill-defined mass lesion with calcified foci within the left frontal white matter, suggestive of glioma. He was surgically treated at our center for four consecutive clinical events. Histopathologically, the tumor was identified as oligoastrocytoma-grade Ⅱ followed by two recurrence events and final progression to grade Ⅲ. Overall survival of the patient without adjuvant therapy was more than 9 years. Glial fibrillary acidic protein, p53, Ki-67, nuclear atypia index, pre-operative neutrophillymphocyte ratio, are the other parameters assessed. Findings suggest that hT ERT and HMGA1 are linked to tumor recurrence and progression. Established markers can assist in defining precise histopathological grade in conjuction with conventional markers in clinical setup.展开更多
A modified power-law fluid of second grade is considered. The model is a combination of power-law and second grade fluid in which the fluid may exhibit normal stresses, shear thinning or shear thickening behaviors. Th...A modified power-law fluid of second grade is considered. The model is a combination of power-law and second grade fluid in which the fluid may exhibit normal stresses, shear thinning or shear thickening behaviors. The equations of motion are derived for two dimensional incompressible flows, and from which the boundary layer equations are derived. Symmetries of the boundary layer equations are found by using Lie group theory, and then group classification with respect to power-law index is performed. By using one of the symmetries, namely the scaling symmetry, the partial differential system is transformed into an ordinary differential system, which is numerically integrated under the classical boundary layer conditions. Effects of power-law index and second grade coefficient on the boundary layers are shown and solutions are contrasted with the usual second grade fluid solutions.展开更多
Let G be a group, HG and R a G graded ring. We study the duality Theorem for G actions and smash products R#G/H of the G graded ring R and the G set G/H.
基金Foundation item:the Suzhou Municipal Health and Family Planning Commission's Key Diseases Diagnosis and Treatment Program(No.LCzX202001)the Science and Technology Development Project ofSuzhou(Nos.SS2019012andSKY2021031)+1 种基金the Youth Innovation Promotion Association CAS(No.2021324)the Medical Research Project of Jiangsu Provincial Health and Family Planning Commission(No.M2020068)。
文摘The Gleason grade group(GG)is an important basis for assessing the malignancy of prostate can-cer,but it requires invasive biopsy to obtain pathology.To noninvasively evaluate GG,an automatic prediction method is proposed based on multi-scale convolutional neural network of the ensemble attention module trained with curriculum learning.First,a lesion-attention map based on the image of the region of interest is proposed in combination with the bottleneck attention module to make the network more focus on the lesion area.Second,the feature pyramid network is combined to make the network better learn the multi-scale information of the lesion area.Finally,in the network training,a curriculum based on the consistency gap between the visual evaluation and the pathological grade is proposed,which further improves the prediction performance of the network.Ex-perimental results show that the proposed method is better than the traditional network model in predicting GG performance.The quadratic weighted Kappa is 0.4711 and the positive predictive value for predicting clinically significant cancer is 0.9369.
文摘Utilising dissolved gases analysis, a new insulation fault diagnosis methodfor power transformers is proposed. This method is based on the group grey relational grade analysismethod. First, according to the fault type and grey reference sequence structure, some typicalfault samples are divided into several sets of grey reference sequences. These sets are structuredas one grey reference sequence group. Secondly, according to a new calculation method of the greyrelational coefficient, the individual relational coefficient and grade are computed. Then accordingto the given calculation method for the group grey relation grade, the group grey relational gradeis computed and the group grey relational grade matrix is structured. Finally, according to therelational sequence, the insulation fault is identified for power transformers. The results of alarge quantity of instant analyses show that the proposed method has higher diagnosis accuracy andreliability than the three-ratio method and the traditional grey relational method. It has goodclassified diagnosis ability and reliability.
文摘We performed this study to investigate pathological upgrading from biopsy to prostatectomy and clinicopathological factors associated with grade group(GG)upgrading in patients with International Society of Urological Pathology(ISUP)GG 1 and 2 prostate cancer(PCa)in a Chinese cohort.We included patients diagnosed with PCa with ISUP GG 1 and 2 at biopsy,who underwent RP at our institution.Pre-and postoperative clinical variables were examined.Univariate and multivariate logistic regression analyses were conducted to identify independent factors associated with GG upgrading.Patients in GG upgraded group had higher total prostatespecific antigen(tPSA;median:14.43 ng ml^(−1) vs 10.52 ng ml^(−1),P=0.001)and PSA density(PSAD;median:0.45 ng ml^(−2) vs 0.27 ng ml^(−2),P<0.001)than those in GG nonupgraded group.Patients in upgraded group had a higher ratio for Prostate ImagingReporting and Data System(PI-RADS)score>3(86.4%vs 67.9%,P<0.001).Those with GG 1 in biopsy were more likely to experience GG upgrading after RP than those with GG 2(71 vs 54,P=0.016).Independent preoperative factors predicting GG upgrading were PI-RADS score>3(odds ratio[OR]:2.471,95%confidence interval[CI]:1.132–5.393;P=0.023),higher PSAD(P=0.001),and GG in biopsy(OR:0.241,95%CI:0.123–0.471;P<0.001).The histopathological analyses of RP specimens revealed that perineural invasion(PNI;OR:1.839,95%CI:1.027–3.490;P=0.041)was identified as an independent factor associated with GG upgrading.Our results revealed that GG in the biopsy,PSAD,PI-RADS score>3,and PNI were independent factors of GG upgrading.These factors should be considered for patients with ISUP grade≤2 PCa.
基金Supported by M.P.Biotech Council,M.P.for financial assistanceBMHRC for infrastructural facilities,No.249
文摘Mixed gliomas, primarily oligoastrocytomas, account for about 5%-10% of all gliomas. Distinguishing oligoastrocytoma based on histological features alone has limitations in predicting the exact biological behavior, necessitating ancillary markers for greater specificity. In this case report, human telomerase reverse transcriptase(hT ERT) and high mobility group-A1(HMGA1); markers of proliferation and stemness, have been quantitatively analyzed in formalin-fixed paraffin-embedded tissue samples of a 34 years old patient with oligoastrocytoma. Customized florescence-based immunohistochemistry protocol with enhanced sensitivity and specificity is used in the study. The patient presented with a history of generalized seizures and his magnetic resonance imaging scans revealed infiltrative ill-defined mass lesion with calcified foci within the left frontal white matter, suggestive of glioma. He was surgically treated at our center for four consecutive clinical events. Histopathologically, the tumor was identified as oligoastrocytoma-grade Ⅱ followed by two recurrence events and final progression to grade Ⅲ. Overall survival of the patient without adjuvant therapy was more than 9 years. Glial fibrillary acidic protein, p53, Ki-67, nuclear atypia index, pre-operative neutrophillymphocyte ratio, are the other parameters assessed. Findings suggest that hT ERT and HMGA1 are linked to tumor recurrence and progression. Established markers can assist in defining precise histopathological grade in conjuction with conventional markers in clinical setup.
文摘A modified power-law fluid of second grade is considered. The model is a combination of power-law and second grade fluid in which the fluid may exhibit normal stresses, shear thinning or shear thickening behaviors. The equations of motion are derived for two dimensional incompressible flows, and from which the boundary layer equations are derived. Symmetries of the boundary layer equations are found by using Lie group theory, and then group classification with respect to power-law index is performed. By using one of the symmetries, namely the scaling symmetry, the partial differential system is transformed into an ordinary differential system, which is numerically integrated under the classical boundary layer conditions. Effects of power-law index and second grade coefficient on the boundary layers are shown and solutions are contrasted with the usual second grade fluid solutions.
文摘Let G be a group, HG and R a G graded ring. We study the duality Theorem for G actions and smash products R#G/H of the G graded ring R and the G set G/H.
