1.Analysis of "Eight-Profiles" Theory in Traditional Chinese Medicine
Feng GU ; Caixia WANG ; Shiyu CHEN ; Deyang SHANG
International Journal of Traditional Chinese Medicine 2009;31(2):159-160,165
The author generally analyzed "Eight-Profiles" theory of traditional Chinese medicine before the Qing Dynasty, specifically, elucidated the meaning, theory origin, evolution and controversy of "Eight-Profiles" theory.
2.Investigation to Theoretical Origin of the Prevailing "Five Orbiculi" Theory
Pengju ZHU ; Caixia WANG ; Feng GU ; Shiyu CHEN ; Deyang SHANG
International Journal of Traditional Chinese Medicine 2009;31(3):218-220
The article made a study on the earliest literature and the initial time of the "Five Orbiculi" theory in TCM. By analyzing the masons for different locations of "Five Orbiculi" recorded in ancient TCM books, the author argued against that the term of "Five Orbiculi" originated from ancient India and the "Five Orbiculi" theory was a product with the combination of traditioinal Chinese and Indian cultures. The author further put forward that the "Five Orbiculi" theory most probably was a Chinese traditional medical innovation under the influence of Internal Classic of Medicine, a great development to the theory recorded in Miraculous Pivot On Serious Confusion.
3.Comparison of planning target volumes based on three-dimensional CT and four-dimensional CT simulation images of non-small-cell lung cancer
Fengxiang LI ; Jianbin LI ; Yingjie ZHANG ; Tonghai LIU ; Shiyu TIAN ; Min XU ; Dongping SHANG ; Changsheng MA
Chinese Journal of Radiological Medicine and Protection 2011;31(2):200-204
Objecttve To compare the positional and volumetric differences of planning target volumes(PTVs)based on axial three-dimensional CT(3D-CT)and four-dimensional CT(4D-CT)for the primary tumor of non-small cell lung cancer(NSCLC).Methods Sixteen NSCLC patients with lesions located in the upper lobe and 12 patients with lesions in middle and lower lobes,totally 28 patients, initially underwent three-dimensional CT scans followed by 4D-CT scans of the thorax under normal free breathing.PTVvector was defined on gross tumor volume (GTV) contoured on 3D-CT and its motion vector. The clinical target volumes(CTVs)were created by adding 7 mm to GTVs,then, internal target volume (ITVs)were produced by enlarging CTVs isotropically based on the individually measured amount of motion in the 4D-CT,lastly,PTVs were created by adding 3 mm setup margin to ITVs. PTV4D was defined on the fusion of CTVs on all phases of the 4D data.The CTV wag generated by adding7 mm to the GTV on each phase.then,PIVs were produced by fusing CTVs on 10 phases and adding 3 mm setup margin.The position of the target center,the volume of target and the degree of inclusion(DI)were compared reciprocally between the PTVvector and the PTV 4D The difference of the position,volume and degree of inclusion of the targets between PTVvecter and PTV4D were compared,and the relevance between the relative characters of the targets and the three-dimensional vector was analyzed based on the groups of the patients. Results The median of the 3 D motion vector for the lesions in the upper lobe was 2.8 mm, significantly lower than that for the lesions in the middle and lower lobe ( 7.0 mm, z = - 3. 485, P < 0. 05 ). In the upper lobe group there was only significant spatial difference between the PTVvector and PTV4D targets in the center coordinate at the x axe (z = -2. 010, P < 0. 05 ), while in the middle and lower lobes there was only significant spatial difference between the PTVvector and PTV4D targets in the center coordinates at the z axe (z = -2. 136,P <0.05). The median of ratio of PTV4D and PTVvector, of the upper lobe group was 0. 75, significantly higher than that of the middle and lower lobes group (0. 52, z = - 2. 949, P < 0. 05 ).A significant correlation was found for the motion vector and the ratio of PTV and PTV4D in both groups ( r = - 0. 638, - 0. 850, P < 0. 05 ). For all patients, the median of D[ of PTV4D in PTVvector was 66. 39% ,while the median of DI of PTVvector, in PTV4D was 99. 55% , both showed a positive significant correlation with the motion vector (r = -0. 814,0. 613 ,P < 0. 05). Conclusions PTV4D defined based on 4D-CT simulation images is obviously less than PTV defined based on 3D-CT simulation images. The ratio and DI of both targets are related with the three-dimensional motion vector of the tumor.
4.Comparison of three approaches to delineate internal gross tumor volume based on four-dimensional CT simulation images of non-small-cell lung cancer
Fengxiang LI ; Jianbin LI ; Yingjie ZHANG ; Dongping SHANG ; Tonghai LIU ; Shiyu TIAN ; Min XU ; Changsheng MA
Chinese Journal of Radiation Oncology 2011;20(2):101-105
Objective To compare positional and volumetric differences of internal gross tumor volume (IGTV) delineated separately by three approaches based on four-dimensional CT (4DCT) for the primary tumor of non-small cell lung cancer (NLCLC). Methods Twenty-one patients with NLCLC underwent big bore 4DCT simulation scan of the thorax. IGTVs of the primary tumor of NSCLC were tumor on the MIP images were delineated to produce IGTVMIP. The position of the target center, the volume of target, the degree of inclusion (DI) and the matching index (MI) were compared reciprocally between IGTV10, IGTVEI+EE and IGTVMIP. Results Average differences between the position of the center of IGTVs on direction of x,y and z axes were less than 1 mm, with no statistically significant difference. The volume of IGTV10 was larger than that of IGTVEI+EE, the difference was statistically significant (t=2.37,P=0.028);the volume of IGTV10 was larger than that of IGTVMIP, but the difference was not statistically significant(t=1.95 ,P=0.065). The ratio of IGTVEI+EE with IGTV10, IGTVMIP with IGTV10 were 0.85±0.08 and 0.92±0.11, respectively. DI of IGTVEI+EE in IGTV10, IGTVMIP in IGTV10 were 84.78% ± 8. 95% and 88.47% ±9.04%. MI between IGTV10 and IGTVEI+EE, IGTV10 and IGTVMIP were 0.85 ±0.09, 0.86±0. 09, respectively. Conclusions The center displacement of the IGTVs delineated separately by the three different techniques based on 4DCT images are not obvious; IGTVEI+EE and IGTVMIP can not replace IGTV10 , however , IGTVMIP is more close to IGTV10 comparing to IGTVEI+EE . The ratio of GTVEI+EE with IGTV10 is correlated to the tumor motion vector. As the vector increases, the ratio of GTVEI+EE with IGTV10decreases, especially for small tumors.
5.A case of primary lymphoma in bilateral middle cerebellar peduncles resembling demyelinating disease
Jiwei JIANG ; Jinming ZHAO ; Shanshan WEI ; Shiyu ZHANG ; Xiuli SHANG
Chinese Journal of Neurology 2018;51(9):746-750
Primary central nervous system lymphoma (PCNSL) is a rare,extranodal form of non-Hodgkin lymphoma that is confined to the central nervous system.It mainly involves the deep brain white matter,the lateral ventricle and the corpus callosum.A decline in cognitive function and headache are the typical clinical manifestations of the disease.We report a patient with PCNSL in bilateral middle cerebellar peduncles,whose clinical manifestations were only dizziness and unstable walking.Brain MRI manifestations were not typical in early time,with symmetrical hypointensity lesions on T1-weighted imaging,hyperintensity lesions on T2-weighted imaging,and edema zone around on FLAIR imaging.Enhanced scan showed marginal contrast enhancement,but no significant occupying effect.These changes were similar to the multiple characteristics of multiple sclerosis.The history of autoimmune diseases and cerebrospinal fluid examination highly indicated demyelinating disease.The differences of clinical manifestations,MRI characteristics,diagnosis,treatment and prognosis between PCNSL in bilateral middle cerebellar peduncles and multiple sclerosis were analyzed to imorove the understanding of the disease in clinical practice.
6.Assessment of 3D-printed tissue compensators for superficial tumor X-ray radiation compensation
Shiyu SHANG ; Xianshu GAO ; Feng LYU ; Yan GAO ; Zhaocai SHANG ; Xueying REN ; Jiayan CHEN ; Peilin LIU ; Min ZHANG
Chinese Journal of Radiological Medicine and Protection 2023;43(7):518-523
Objective:To investigate the advantage of three dimensional(3D)-printed tissue compensators in radiotherapy for superficial tumors at irregular sites.Methods:A subcutaneous xenograft model of prostate cancer in nude mice was established. Mice were randomly divided into no tissue compensator group( n=6), common tissue compensator group( n=6), and 3D-printed tissue compensator group( n=6). Computed tomography (CT) images of nude mice in the 3D-printed tissue compensator group were acquired. Compensator models were made using polylactic acid, and material properties were evaluated by measuring electron density. CT positioning images of the three groups after covering the corresponding tissue compensators were acquired to delineate the gross tumor volume (GTV). Nude mice in the three groups were irradiated with 6 MV X-rays at the prescribed dose. The prescribed dose for the three groups was 1 500 cGy. The dose distribution in the GTV of the three groups was calculated and compared using the analytical anisotropic algorithm in the Eclipse 13.5 treatment planning system. The metal-oxide-semiconductor field-effect transistor was used to verify the actual dose received on the skin surface of nude mice. Results:The air gap in the 3D-printed tissue compensator group and the common tissue compensator group was 0.20±0.07 and 0.37±0.07 cm 3, respectively ( t=4.02, P<0.01). For the no tissue compensator group, common tissue compensator group, and 3D-printed tissue compensator group, the D95% in the target volume was (1 188.58±92.21), (1 369.90±146.23), and (1 440.29±45.78) cGy, respectively ( F=9.49, P<0.01). D98% was (1 080.13±88.30), (1 302.76±158.43), and (1 360.23±48.71) cGy, respectively ( F=11.17, P<0.01). Dmean was (1 549.08±44.22), (1 593.05±65.40), and (1 638.87±40.83) cGy, respectively ( F=4.59, P<0.05). The measured superficial dose was (626.03±26.75), (1 259.83±71.94), and (1 435.30±67.22) cGy, respectively ( F=263.20, P<0.001). The percentage variation in tumor volume growth after radiation was not significantly different between the common tissue compensator group and the 3D-printed tissue compensator group ( P>0.05). Conclusions:3D-printed tissue compensators fit well to the body surface, which reduces air gaps, effectively increases the dose on the body surface near the target volume, and provides ideas for radiotherapy for superficial tumors at some irregular sites.