Liposuction in cancer-related lower extremity lymphedema: an investigative study on clinical applications

Background Lymphedema is a progressive, noncurable condition consisting of increases in subcutaneous fat and interstitial fluid in the limbs and fibrosis during later stages. The disease most commonly affects the limbs following injury to or removal of the lymph nodes. The aim of this study was to investigate the therapeutic outcomes of liposuction for cancer-related lower extremity lymphedema. Methods Sixty-two patients with cancer-related lymphedema in the unilateral lower extremity were recruited for this study, and all patients underwent liposuction. The volume of hemorrhage and lipids, the operation time, and the volume changes of the affected extremity were compared by applying the t tests, and the subjective feelings of patients were compared with the chi-square tests. Results The total lipid volume was 2539 ± 1253.5 ml, and the hemorrhage volume was 828 ± 311.8 ml. For the comparison of objective indices, (1) the percent volume differences (PVDs) before surgery, intraoperatively, and at the 3-month follow-up were 5.5 ± 12.2 vs. 11.6 ± 18.4 vs. 43.2 ± 23.7, P < 0.05, respectively; (2) greater lipid volumes and higher liposuction rates were observed for female patients, as was a smaller volume of hemorrhage; (3) greater hemorrhage volumes were observed in patients with a history of recurrent erysipelas; and (4) greater lipid volumes and liposuction rates (LRs) and smaller hemorrhage volumes were observed for stage II than for stage III patients. Conclusions Liposuction is an effective therapy for cancer-related lower extremity lymphedema. Sex, stage, and recurrent erysipelas history influence the course and effect of liposuction.

Relation of Volume of Hemorrhage With Mortality Within First 48 Hours in Hemorrhagic Stroke

Background: Hemorrhagic stroke accounts for 10-15% of all strokes with higher mortality rates than cerebral infarction. Intracerebral hemorrhage has a reported 30-day mortality of 44% to 51%, with almost half of the death occurs within the first 48 hours. Advanced age, low level of consciousness, large volume of hemorrhage has been linked with poor outcome. Objectives: To predict early outcome of hemorrhagic stroke patient in relation with age, Glasgow Coma Scale, volume of hemorrhage and ventricular extension. Materials and Methods: Hospital based prospective study carried out in hundred hemorrhagic stroke patients. The formula of ABC/2 was used to calculate hemorrhage volume in bedside by using CT scan. Results: 1st month mortality rates of hemorrhagic stroke was 44% with 45.45% of patients died within the first 48 hours of onset. Mean age of patients of hemorrhagic stroke was 61.2 ± 13.88 years. Mortality rate of intracerebral hemorrhage after age of 60 was 51.06% in 1st month. Volume of intracerebral hemorrhage was the strongest predictor of both 48 hours and 30 days mortality. Using three categories of intracerebral hemorrhage (X for < 30 ml, Y for 30 - 50 ml and Z for > 50 ml group) calculated by ABC/2 formula showed 100% mortality rate in Z group, 50% in Y group and only 12% mortality rate in X group in 1st month. Among all death, 61.5% of Z group 25% of Y group and 16.67% of patients of X group died within 48 hours. Two categories of Glasgow Coma Scale (≤ 8 and ≥ 9) were used and shown death rates 80.77% in GCS ≤ 8 and 4.55% in GCS ≥ 9 in 1st month. Conclusion: Volume of intracerebral hemorrhage in combination with advanced age, initial Glasgow Coma Scale is a powerful and easy to use in both 48 hours and 1st month mortality in patients with spontaneous intracerebral hemorrhage. KYAMC Journal. 2021;12(3): 127-132

Liposuction in Cancer‐Related Lower Extremity Lymphedema: An Investigative Study For Clinical Applications

Background: Lymphedema is a progressive, noncurable condition consisting of increases in subcutaneous fat and interstitial fluid in the limbs and fibrosis during later stages. The disease most commonly affects the limbs because of injury to or removal of lymph nodes. The aim of this study was to investigate therapeutic outcomes of liposuction for cancer-related lower extremity lymphedema.Methods: 62 patients with cancer-related lymphedema in unilateral lower extremity were recruited in this study, and all the patients underwent liposuction. The volume of hemorrhage and lipid, the operation time, and the volume changes of the affected extremity were compared by applying t-test, and the subjective feelings of patients were also assessed by applying Chi-square. Results: Total lipid volume is (2539±1253.5) ml, and the hemorrhage volume is (828±311.8) ml during liposuction. For the comparison of objective indexes, (1) Percent volume differences(PVDs) before surgery, in-operation and 3-month follow-up were (5.5±12.2 Vs. 11.6±18.4 Vs. 43.2±23.7, P＜0.05) respectively. (2) Higher lipid volume and liposuction rate for female patients, with a lower volume of hemorrhage. (3) Higher volume of hemorrhage in patients with a history of recurrent erysipelas. (4) Higher lipid volume and liposuction rate(LR), with lower hemorrhage for stage II than stage III patients. Conclusions: Liposuction is an effective therapy for cancer-related lower extremity lymphedema. Gender, stage and recurrent erysipelas history influence the course and effect of liposuction.

The influence of aneurysm morphology on the volume of hemorrhage after rupture

OBJECTIVE Factors determining the risk of rupture of intracranial aneurysms have been extensively studied; however, little attention is paid to variables influencing the volume of bleeding after rupture. In this study the authors aimed to evaluate the impact of aneurysm morphological variables on the amount of hemorrhage. METHODS This was a retrospective cohort analysis of a prospectively collected data set of 116 patients presenting at a single center with subarachnoid hemorrhage due to aneurysmal rupture. A volumetric assessment of the total hemorrhage volume was performed from the initial noncontrast CT. Aneurysms were segmented and reproduced from the initial CT angiography study, and morphology indexes were calculated with a computer-assisted approach. Clinical and demographic characteristics of the patients were included in the study. Factors influencing the volume of hemorrhage were explored with univariate correlations, multiple linear regression analysis, and graphical probabilistic modeling. RESULTS The univariate analysis demonstrated that several of the morphological variables but only the patient’s age from the clinical-demographic variables correlated (p < 0.05) with the volume of bleeding. Nine morphological variables correlated positively (absolute height, perpendicular height, maximum width, sac surface area, sac volume, size ratio, bottleneck factor, neck-to-vessel ratio, and width-to-vessel ratio) and two correlated negatively (parent vessel average diameter and the aneurysm angle). After multivariate analysis, only the aneurysm size ratio (p < 0.001) and the patient’s age (p = 0.023) remained statistically significant. The graphical probabilistic model confirmed the size ratio and the patient’s age as the variables most related to the total hemorrhage volume. CONCLUSIONS A greater aneurysm size ratio and an older patient age are likely to entail a greater volume of bleeding after subarachnoid hemorrhage.

Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement

Background Accurate measurement of hemorrhage volume is critical for both the prediction of prognosis and the selection of appropriate clinical treatment after spontaneous intracerebral hemorrhage (ICH). This study aimed to evaluate the performance and accuracy of a deep learning-based automated segmentation algorithm in segmenting spontaneous intracerebral hemorrhage (ICH) volume either with or without intraventricular hemorrhage (IVH) extension. We compared this automated pipeline with two manual segmentation techniques. Methods We retrospectively reviewed 105 patients with acute spontaneous ICH. Depending on the presence of IVH extension, patients were divided into two groups: ICH without (n = 56) and with IVH (n = 49). ICH volume of the two groups were segmented and measured using a deep learning-based artificial intelligence (AI) diagnostic system and computed tomography-based planimetry (CTP), and the ABC/2 score were used to measure hemorrhage volume in the ICH without IVH group. Correlations and agreement analyses were used to analyze the differences in volume and length of processing time among the three segmentation approaches. Results In the ICH without IVH group, the ICH volumes measured using AI and the ABC/2 score were comparable to CTP segmentation. Strong correlations were observed among the three segmentation methods (r = 0.994, 0.976, 0.974; P < 0.001; concordance correlation coefficient [CCC] = 0.993, 0.968, 0.967). But the absolute error of the ICH volume measured by the ABC/2 score was greater than that of the algorithm (P < 0.05). In the ICH with IVH group, there is no significant differences were found between algorithm and CTP(P = 0.614). The correlation and agreement between CTP and AI were strong (r = 0.996, P < 0.001; CCC = 0.996). The AI segmentation took a significantly shorter amount of time than CTP (P < 0.001), but was slightly longer than ABC/2 score technique (P = 0.002). Conclusions The deep learning-based AI diagnostic system accurately quantified volumes of acute spontaneous ICH with high fidelity and greater efficiency compared to the CTP measurement and more accurately than the ABC/2 scores. We believe this is a promising tool to help physicians achieve precise ICH quantification in practice.

Impact of Increased Hemoglobin on Spontaneous Intracerebral Hemorrhage

Background Studies of the impact of increased hemoglobin on spontaneous intracerebral hemorrhage (ICH) are limited. The present study aimed to explore the effect of increased hemoglobin on ICH. Methods A retrospective single-center study using medical records from a database processed by univariate and multivariate analyses was performed in the People’s Hospital of Tibet Autonomous Region in Lhasa, Tibet, China. Results The mean hemoglobin level in 211 patients with ICH was 165.03 ± 34.12 g/l, and a median hematoma volume was 18.5 ml. Eighty-eight (41.7%) patients had large hematomas (supratentorial hematoma ≥ 30 ml; infratentorial hematoma ≥ 10 ml). No differences in ICH risk factors between the groups with different hemoglobin levels were detected. Increased hemoglobin was independently associated with large hematomas [odds ratio (OR) 1.013, P = 0.023]. Increased hemoglobin was independently associated with ICH with subarachnoid hemorrhage (OR 1.014, P = 0.016), which was more pronounced in men (OR 1.027, P = 0.002). Increased hemoglobin was independently associated with basal ganglia hemorrhage and lobar hemorrhage in men (OR 0.986, P = 0.022; OR 1.013, P = 0.044, respectively) but not in women (P > 0.1). Conclusions Increased hemoglobin was independently associated with large hemorrhage volume. Increased hemoglobin was independently associated with lobar hemorrhage in men and ICH with subarachnoid hemorrhage, which was more pronounced in men. Additional studies are needed to confirm our findings and explore potential mechanisms.

Liposuction in Cancer‐Related Lower Extremity Lymphedema: an Investigative Study for Clinical Applications

Background: Lymphedema is a progressive, noncurable condition consisting of increases in subcutaneous fat and interstitial fluid in the limbs and fibrosis during later stages. The disease most commonly affects the limbs because of injury to or removal of lymph nodes. The aim of this study was to investigate therapeutic effects of liposuction for cancer-related lower extremity lymphedema.Methods 62 patients with cancer-related lymphedema in unilateral lower extremity were recruited in this study, and all the patients underwent liposuction. The volume of hemorrhage and lipid, the operation time and the volume changes of affected extremity were compared by applying t-test, and the subjective evaluation of the patients were also assessed by applying Chi-square. Results Total lipid volume is (2539±1253.5) ml, and the hemorrhage volume is (828±311.8) ml during liposuction. For the comparison of objective indexes, (1) Comparison of percent volume difference before surgery, in-operation and 3-month follow-up was (5.5±12.2 Vs. 11.6±18.4 Vs. 43.2±23.7, P＜0.05) respectively. (2) Higher lipid volume and liposuction rate for female patients, with lower volume of hemorrhage. (3) Higher volume of hemorrhage in patients with erysipelas (4) Higher lipid volume and liposuction rate, with lower hemorrhage for stage II than stage III patients.Conclusions Liposuction is an effective therapy for cancer-related lower extremity lymphedema, and it is necessary to combine with other therapeutic methods to improve lymph circulation.

Development of an Endovascular Model of Pelvic Hemorrhage Using Volumetric Computed Tomography Validation

Purpose Uncontrolled pelvic hemorrhage from trauma is associated with mortality rates above 30%. The ability of an intervention to reduce blood loss from pelvic trauma is paramount to its success. The objective of this study was to determine if computed tomography volumetric analysis could be used to quantify blood loss in a porcine endovascular pelvic hemorrhage model. Materials and Methods Yorkshire swine under general anesthesia underwent balloon dilation and rupture of the profunda femoris artery, which was confirmed by digital subtraction angiography. Computed tomography angiography and postprocessing segmentation were performed to quantify pelvic hemorrhage volume at 5 and 30 minutes after injury. Continuous hemodynamic and iliofemoral flow data were obtained. Baseline and postinjury hemoglobin, hematocrit and lactate were collected. Results Of 6 animals enrolled, 5 survived the 30-minute post-injury period. One animal died at 15 minutes. Median volume of pelvic hemorrhage was 141±106 cm3 at 5 minutes and 302±79 cm3 at 30 minutes with a 114% median increase in hematoma volume over 25 minutes (p=0.040). There was a significant decrease in mean arterial pressure (107 to 71 mm Hg, p=0.030) and iliofemoral flow (561 to 122 mL/min, p=0.014) at 30 minutes postinjury, but no significant changes in hemoglobin, hematocrit, or heart rate. Conclusion Computed tomography volumetric analysis can be used to quantify rate and volume of blood loss in a porcine endovascular pelvic hemorrhage model. Future studies can incorporate this approach when evaluating the effect of hemorrhage control interventions associated with pelvic fractures.