Of 628 patients with extra-osseous malignancies diagnosed by surgery and/or pathology, 207 (33.0%) were identified as having skeletal metastasis by bone imaging. There was statistical significant difference in the inc...Of 628 patients with extra-osseous malignancies diagnosed by surgery and/or pathology, 207 (33.0%) were identified as having skeletal metastasis by bone imaging. There was statistical significant difference in the incidence of metastasis in different malignancies (P<0.02). The metastatic rates of nasopharyn-geal, lung, prostate and breast cancers were higher than gastrointestinal, kidney, and other malignancies. There was significant differences in the different sites of skeletal metastasis (P<0.01). They were thorax, spine, pelvis, limbs and skull in order of incidence. Solitary metastatic rate was 15.9%. Biopsy is advised for patients suspected to have metastatic disease but with only one single 'hot spot' in skeletal imaging, particularly in the rib.展开更多
Early detection of skeletal metastasis is critical for accurate staging and optimal treatment. This paper briefly reviews our current understanding of the biological mechanisms through which tumours metastasise to bon...Early detection of skeletal metastasis is critical for accurate staging and optimal treatment. This paper briefly reviews our current understanding of the biological mechanisms through which tumours metastasise to bone and describes the available imaging methods to diagnose bone metastasis and monitor response to treatment. Among the various imaging modalities currently available for imaging skeletal metastasis, hybrid techniques whichfuse morphological and functional data are the most sensitive and specific, and positron emission tomography(PET)/computed tomography and PET/magnetic resonance imaging will almost certainly continue to evolve and become increasingly important in this regard.展开更多
A rational analysis procedure for solitary lesions on whole bone scan-ning was offered. This study was undertaken to analyze retrospectively solitary le-sions which obtained final diagnose through the following aspect...A rational analysis procedure for solitary lesions on whole bone scan-ning was offered. This study was undertaken to analyze retrospectively solitary le-sions which obtained final diagnose through the following aspects: (1) diagnosis ofbone metastasis, (2) the incidence of bone metastasis in different tumor, (3) the mostpossible lesion sites indicating bone metastasis, (4) morphological analysis of solitarylesions. The results are: (1) The incidence of solitary lesions in 2465 cases on wholebone scanning is 15.3%. (2) The rate of bone metastasis is 24.8% in 282 patientswith primary malignancy. The rate of bone metastasis is 6.3% in 64 patients withoutprimary malignancy, and the total diagnostic rate of bone metastasis is 21.4% in 346patients. (3) In patients with primary malignancy, the incidence of bone metastasis ofsolitary lesions is as follows respectively: bronchi cancer 36.1%(22/61); breast cancer23.8%(20/84); prostate gland 17.2%(5/29); other urinary system cancer 22.2%(4/18):G.I. system cancer 16.9%(10/59); others 29.0%(9/31). There is no significant differ-ence in different cancer. (4) In patients without primary malignancy, 93.7%(60/64) ofsolitary lesions are benign. (5) From anatomical point of view, we found the diagnos-tic rate of bone metastasis is as follow: 30% in spine; 34.2% in pelvis; 36.4% in skull;10.8% in other bones. There are significant differences in four groups. It is concludedthat: (1) The diagnostic rate of bone metastasis in solitary lesions is 21.4%. (2) Themost possible solitary lesions indicating osseous tumor spread are at spine, pelvic andskull. (3) Special attention to "cold" and streak like lesions should be paid. (4) Aclinical analysis procedure for diagnosis of solitary lesions has been summarized outhere.展开更多
Sinus floor elevation with a lateral window approach requires bone graft(BG)to ensure sufficient bone mass,and it is necessary to measure and analyse the BG region for follow-up of postoperative patients.However,the B...Sinus floor elevation with a lateral window approach requires bone graft(BG)to ensure sufficient bone mass,and it is necessary to measure and analyse the BG region for follow-up of postoperative patients.However,the BG region from cone-beam computed tomography(CBCT)images is connected to the margin of the maxillary sinus,and its boundary is blurred.Common segmentation methods are usually performed manually by experienced doctors,and are complicated by challenges such as low efficiency and low precision.In this study,an auto-segmentation approach was applied to the BG region within the maxillary sinus based on an atrous spatial pyramid convolution(ASPC)network.The ASPC module was adopted using residual connections to compose multiple atrous convolutions,which could extract more features on multiple scales.Subsequently,a segmentation network of the BG region with multiple ASPC modules was established,which effectively improved the segmentation performance.Although the training data were insufficient,our networks still achieved good auto-segmentation results,with a dice coefficient(Dice)of 87.13%,an Intersection over Union(Iou)of 78.01%,and a sensitivity of 95.02%.Compared with other methods,our method achieved a better segmentation effect,and effectively reduced the misjudgement of segmentation.Our method can thus be used to implement automatic segmentation of the BG region and improve doctors’work efficiency,which is of great importance for developing preliminary studies on the measurement of postoperative BG within the maxillary sinus.展开更多
文摘Of 628 patients with extra-osseous malignancies diagnosed by surgery and/or pathology, 207 (33.0%) were identified as having skeletal metastasis by bone imaging. There was statistical significant difference in the incidence of metastasis in different malignancies (P<0.02). The metastatic rates of nasopharyn-geal, lung, prostate and breast cancers were higher than gastrointestinal, kidney, and other malignancies. There was significant differences in the different sites of skeletal metastasis (P<0.01). They were thorax, spine, pelvis, limbs and skull in order of incidence. Solitary metastatic rate was 15.9%. Biopsy is advised for patients suspected to have metastatic disease but with only one single 'hot spot' in skeletal imaging, particularly in the rib.
文摘Early detection of skeletal metastasis is critical for accurate staging and optimal treatment. This paper briefly reviews our current understanding of the biological mechanisms through which tumours metastasise to bone and describes the available imaging methods to diagnose bone metastasis and monitor response to treatment. Among the various imaging modalities currently available for imaging skeletal metastasis, hybrid techniques whichfuse morphological and functional data are the most sensitive and specific, and positron emission tomography(PET)/computed tomography and PET/magnetic resonance imaging will almost certainly continue to evolve and become increasingly important in this regard.
文摘A rational analysis procedure for solitary lesions on whole bone scan-ning was offered. This study was undertaken to analyze retrospectively solitary le-sions which obtained final diagnose through the following aspects: (1) diagnosis ofbone metastasis, (2) the incidence of bone metastasis in different tumor, (3) the mostpossible lesion sites indicating bone metastasis, (4) morphological analysis of solitarylesions. The results are: (1) The incidence of solitary lesions in 2465 cases on wholebone scanning is 15.3%. (2) The rate of bone metastasis is 24.8% in 282 patientswith primary malignancy. The rate of bone metastasis is 6.3% in 64 patients withoutprimary malignancy, and the total diagnostic rate of bone metastasis is 21.4% in 346patients. (3) In patients with primary malignancy, the incidence of bone metastasis ofsolitary lesions is as follows respectively: bronchi cancer 36.1%(22/61); breast cancer23.8%(20/84); prostate gland 17.2%(5/29); other urinary system cancer 22.2%(4/18):G.I. system cancer 16.9%(10/59); others 29.0%(9/31). There is no significant differ-ence in different cancer. (4) In patients without primary malignancy, 93.7%(60/64) ofsolitary lesions are benign. (5) From anatomical point of view, we found the diagnos-tic rate of bone metastasis is as follow: 30% in spine; 34.2% in pelvis; 36.4% in skull;10.8% in other bones. There are significant differences in four groups. It is concludedthat: (1) The diagnostic rate of bone metastasis in solitary lesions is 21.4%. (2) Themost possible solitary lesions indicating osseous tumor spread are at spine, pelvic andskull. (3) Special attention to "cold" and streak like lesions should be paid. (4) Aclinical analysis procedure for diagnosis of solitary lesions has been summarized outhere.
基金the National Key Research and Development Program of China(No.2017YFB1302900)the National Natural Science Foundation of China(Nos.81971709,M-0019,and 82011530141)+2 种基金the Foundation of Science and Technology Commission of Shanghai Municipality(Nos.19510712200,and 20490740700)the Shanghai Jiao Tong University Foundation on Medical and Technological Joint Science Research(Nos.ZH2018ZDA15,YG2019ZDA06,and ZH2018QNA23)the 2020 Key Research Project of Xiamen Municipal Government(No.3502Z20201030)。
文摘Sinus floor elevation with a lateral window approach requires bone graft(BG)to ensure sufficient bone mass,and it is necessary to measure and analyse the BG region for follow-up of postoperative patients.However,the BG region from cone-beam computed tomography(CBCT)images is connected to the margin of the maxillary sinus,and its boundary is blurred.Common segmentation methods are usually performed manually by experienced doctors,and are complicated by challenges such as low efficiency and low precision.In this study,an auto-segmentation approach was applied to the BG region within the maxillary sinus based on an atrous spatial pyramid convolution(ASPC)network.The ASPC module was adopted using residual connections to compose multiple atrous convolutions,which could extract more features on multiple scales.Subsequently,a segmentation network of the BG region with multiple ASPC modules was established,which effectively improved the segmentation performance.Although the training data were insufficient,our networks still achieved good auto-segmentation results,with a dice coefficient(Dice)of 87.13%,an Intersection over Union(Iou)of 78.01%,and a sensitivity of 95.02%.Compared with other methods,our method achieved a better segmentation effect,and effectively reduced the misjudgement of segmentation.Our method can thus be used to implement automatic segmentation of the BG region and improve doctors’work efficiency,which is of great importance for developing preliminary studies on the measurement of postoperative BG within the maxillary sinus.
