scholarly journals Linear mixed-effects models for estimation of pulmonary metastasis growth rate: implications for CT surveillance in patients with sarcoma

2020 ◽  
Vol 93 (1114) ◽  
pp. 20190856
Author(s):  
Ulysses Isidro ◽  
Liam M O'Brien ◽  
Ronnie Sebro
Keyword(s):  
Growth Rate ◽  
Pulmonary Metastasis ◽  
Pulmonary Nodule ◽  
Tumor Size ◽  
Pulmonary Metastases ◽  
Volume Growth ◽  
Tumor Grade ◽  
Exponential Model ◽  
Chest Ct ◽  
Metastasis Growth

Objectives: Sarcoma patients often undergo surveillance chest CT for detection of pulmonary metastases. No data exist on the optimal surveillance interval for chest CT. The aim of this study was to estimate pulmonary metastasis growth rate in sarcoma patients. Methods: This was a retrospective review of 95 patients with pulmonary metastases (43 patients with histologically confirmed metastases and 52 with clinically diagnosed metastases) from sarcoma treated at an academic tertiary-care center between 01 January 2000 and 01 June 2019. Age, sex, primary tumor size, grade, subtype, size and volume of the pulmonary metastasis over successive chest CT scans were recorded. Two metastases per patient were chosen if possible. Multivariate linear mixed-effects models with random effects for each pulmonary metastasis and each patient were used to estimate pulmonary metastasis growth rate, evaluating the impact of patient age, tumor size, tumor grade, chemotherapy and tumor subtype. We estimated the pulmonary metastasis volume doubling time using these analyses. Results: Maximal primary tumor size at diagnosis (LRT statistic = 2.58, df = 2, p = 0.275), tumor grade (LRT statistic = 1.13, df = 2, p = 0.567), tumor type (LRT statistic = 7.59, df = 6, p = 0.269), and patient age at diagnosis (LRT statistic = 0.735, df = 2, p = 0.736) were not statistically significant predictors of pulmonary nodule growth from baseline values. Chemotherapy decreased the rate of pulmonary nodule growth from baseline (LRT statistic = 7.96, df = 2, p = 0.0187). 95% of untreated pulmonary metastases are expected to grow less than 6 mm in 6.4 months. There was significant intrapatient and interpatient variation in pulmonary metastasis growth rate. Pulmonary metastasis volume growth rate was best fit with an exponential model in time. The volume doubling time for pulmonary metastases assuming an exponential model in time was 143 days (95% CI (104, 231) days). Conclusions: Assuming a 2 mm nodule is the smallest reliably detectable nodule by CT, the data suggest that an untreated pulmonary metastasis is expected to grow to 8 mm in 8.4 months (95% CI (4.9, 10.2) months). Tumor size, grade and sarcoma subtype did not significantly alter pulmonary metastasis growth rate. However, chemotherapy slowed the pulmonary metastasis growth rate. Advances in knowledge: CT surveillance intervals for pulmonary metastases can be estimated based on metastasis growth rate. There was significant variation in the pulmonary metastasis growth rate between metastases within patient and between patients. Pulmonary nodule volume growth followed an exponential model, linear in time.

Predicting pulmonary metastases among patients with indeterminate pulmonary nodules with renal cell carcinoma.

2015 ◽  
Vol 33 (7_suppl) ◽  
pp. 505-505 ◽  
Author(s):  
Mehrad Adibi ◽  
Patrick Kenney ◽  
Arun Z. Thomas ◽  
Catherine E Devine ◽  
Jose A. Karam ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Renal Cell ◽  
Radical Nephrectomy ◽  
Tumor Thrombus ◽  
Pulmonary Metastases ◽  
Lung Metastases ◽  
Pulmonary Nodules ◽  
Tumor Grade ◽  
Chest Ct ◽  
Renal Sinus

505 Background: Indeterminate pulmonary nodules (IPN) are of uncertain significance in renal cell carcinoma (RCC) patients. We sought to determine the natural history of IPN in patients undergoing radical nephrectomy and to identify clinical variables associated with the development of lung metastases. Methods: We reviewed all radical nephrectomy patients at a single institution from 2005 – 2009 who had ≥1 IPN on chest computed tomography (CT) within 6 months prior to surgery and no evidence of distant metastates. All chest CTs were re-reviewed by a radiologist who was blinded to outcomes to independently determine number, size, location of nodules and whether the IPN appeared concerning for metastases based on nodule size, tissue density, and morphology. Univariate and multivariate Cox regression was used to assess associated predictive factors. Results: Of 258 patients with IPN, 73 (28%) developed pulmonary metastases. Median follow−up was similar in the groups at 36 months. Patients who developed pulmonary metastases had significantly poorer survival compared to those who did not (3-year DSS 54.5 versus 86.5 months, p<0.001), and 39 (53%) developed pulmonary metastases at the same location as the largest IPN. On univariate analysis, larger renal tumor diameter (HR 1.12, p<0.001), number of pulmonary nodules CT (HR 1.12, p 0.001), presence of hilar lymphadenopathy on chest CT were associated with both lung metastasis development and cancer-specific mortality. After adjusting for age, performance status, comorbidities, histology, and smoking status, higher tumor grade (HR 5.11, p 0.007), presence of tumor thrombus above the diaphragm (HR 4.38, p 0.013), perinephric (HR 4.29, p 0.002) or renal sinus (HR 2.16, p 0.045) fat invasion, and a chest CT concerning for metastasis by the radiologist (HR 2.91, p<0.001) were associated with development of pulmonary metastases. Conclusions: RCC patients with IPN who develop pulmonary metastases have a significantly poorer outcome. Independent predictors of developing lung metastases include tumor grade, presence of tumor thrombus above the diaphragm, perinephric or renal sinus fat invasion, and a chest CT concerning for metastasis.

scholarly journals Preoperative and intraoperative assesment of myometrial invasion and histological grade in endometrial cancer: Role of MRI and frozen section

2016 ◽  
Author(s):  
Rohit Raghunath Ranade
Keyword(s):  
Endometrial Cancer ◽  
Tumor Size ◽  
Early Stage ◽  
Frozen Section ◽  
Myometrial Invasion ◽  
Tumor Grade ◽  
Endometrial Biopsy ◽  
Intraoperative Frozen Section ◽  
Cervical Involvement

Introduction: The role of systematic lymphadenectomy in clinically early stage endometrial cancer is controversial. A number of factors can predict lymph node metastasis including myometrial invasion, tumor grade in endometrial cancers. The purpose of the present study is to evaluate the accuracy of preoperative MRI and intraoperative frozen section in determining the depth of myometrial invasion, cervical involvement, tumor size and lymph nodal status. We also studied the accuracy of preoperative endometrial biopsy and intraoperative frozen section in determining the grade of the tumor. Materials and Methods: Medical records of 235 consecutive cases of clinically early stage endometrial cancer were reviewed retrospectively. A record of depth of myometrial invasion, tumor size, cervical involvement and presence of enlarged lymph nodes was made on a preoperative MRI. Similarly depth of myometrial invasion, tumor size, cervical involvement and grade of the tumor were recorded on an intraoperative frozen section. The grade of the tumor was also recorded on a preoperative endometrial biopsy. Standard statistical calculations were used. Results: The sensitivity and specificity of MRI for myometrial invasion for the first 160 cases were 81.3 and 75%, respectively while that for frozen section were 80 and 96.2%, respectively. For tumor grade the sensitivity and specificity of preoperative endometrial biopsy were 60 and 95.6%, respectively while that of frozen section were 53.8 and 97.6%, respectively. For cervical involvement the sensitivity of MRI and frozen section was 62.5 and 98.4%, respectively. Updated results of the entire cohort of 235 cases will be presented at the conference if selected. Conclusion: Although the sensitivity of both frozen section and MRI for predicting deep myometrial invasion was similar (80 vs 81.3%) but the specificity (96.2 vs 75%) and negative predictive value (92.7 vs 88.2%) of frozen section were superior to MRI. Both preoperative biopsy and intraoperative frozen section had low sensitivity (60 vs 53.8%) for detecting a high grade lesion.

scholarly journals Clinicopathological characteristics and prognostic factors of cervical adenocarcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Min Wang ◽  
Bo Yuan ◽  
Zhen-huan Zhou ◽  
Wei-wei Han
Keyword(s):  
Prognostic Factors ◽  
Tumor Size ◽  
Survival Rates ◽  
Tumor Grade ◽  
Figo Stage ◽  
Cervical Adenocarcinoma ◽  
Stage Ii ◽  
Prognostic Indicators ◽  
Rank Test ◽  
Cancer Specific Survival

AbstractWe aimed to assess the clinicopathological features and to determine the prognostic factors of cervical adenocarcinoma (AC). Relevant data were extracted from surveillance, epidemiology and end results database from 2004 to 2015. The log-rank test and Cox proportional hazard analysis were subsequently utilized to identify independent prognostic factors. A total of 3102 patients were identified. The enrolled patients were characterized by higher proportion of early FIGO stage (stage I: 65.9%; stage II: 14.1%), low pathological grade (grade I/II: 49.1%) and tumor size ≤ 4 cm (46.8%). The 5- and 10-year cancer-specific survival rates of these patients were 74.47% and 70.00%, respectively. Meanwhile, the 5- and 10-year overall survival (OS) rates were 71.52% and 65.17%, respectively. Multivariate analysis revealed that married status, surgery as well as chemotherapy were independent favorable prognostic indicators. Additionally, aged > 45, tumor grade III/IV, tumor size > 4 cm, advanced FIGO stage and pelvic lymph node metastasis (LNM) were unfavorable prognostic factors (all P < 0.01). Stratified analysis found that patients without surgery could significantly benefit from chemotherapy and radiotherapy. In addition, chemotherapy could significantly improve the survival in stage II–IV patients and radiotherapy could only improve the survival in stage III patients (all P < 0.01). Marital status, age, grade, tumor size, FIGO stage, surgery, pelvic LNM and chemotherapy were significantly associated with the prognosis of cervical AC.

scholarly journals Impact of radiation dose and iterative reconstruction on pulmonary nodule measurements at chest CT: a phantom study

2015 ◽  
Vol 21 (6) ◽  
pp. 459-465 ◽  
Author(s):  
Hyungjin Kim ◽  
Chang Min Park ◽  
Hee-Dong Chae ◽  
Sang Min Lee ◽  
Jin Mo Goo
Keyword(s):  
Radiation Dose ◽  
Pulmonary Nodule ◽  
Iterative Reconstruction ◽  
Chest Ct ◽  
Phantom Study

Numerical Analysis of the Effect of Diffusion and Creep Flow on Cavity Growth

2007 ◽  
Author(s):  
Frederick W. Brust ◽  
Joonyoung Oh
Keyword(s):  
Growth Rate ◽  
Numerical Method ◽  
Cavity Growth ◽  
Volume Growth ◽  
Numerical Results ◽  
Shape Evolution ◽  
Cavity Volume ◽  
Cavity Shape ◽  
Cavity Growth Rate ◽  
Fully Coupled

In this paper, intergranular cavity growth in regimes, where both surface diffusion and deformation enhanced grain boundary diffusion are important, is studied. In order to continuously simulate the cavity shape evolution and cavity growth rate, a fully-coupled numerical method is proposed. Based on the fully-coupled numerical method, a gradual cavity shape change is predicted and this leads to an adverse effect on the cavity growth rates. As the portion of the cavity volume growth due to jacking and viscoplastic deformation in the total cavity volume growth increases, the initially spherical cavity evolves to V-shaped cavity. The numerical results are physically more realistic compared to results in the previous studies. The present numerical results suggest that the cavity shape evolution and cavity growth rate based on an assumed cavity shape, whether spherical or crack-like, cannot be used in this regime due to transitional coupled growth mechanisms.

scholarly journals Risk Factors for Recurrence after Robot-Assisted Radical Hysterectomy for Early-Stage Cervical Cancer: A Multicenter Retrospective Study

Cancers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3387
Author(s):  
Jordi Ponce ◽  
Sergi Fernandez-Gonzalez ◽  
Antonio Gil-Moreno ◽  
Pluvio J. Coronado ◽  
Jesús De la Rosa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cervical Cancer ◽  
Radical Hysterectomy ◽  
Tumor Size ◽  
Early Stage ◽  
Tumor Grade ◽  
Robot Assisted ◽  
Invasive Approach ◽  
Early Stage Cervical Cancer ◽  
Risk Factors For Recurrence

This retrospective analysis aimed to assess the risk factors for recurrence in patients diagnosed with early-stage cervical cancer (≤IB1 or IIA1, FIGO 2009) undergoing robot-assisted radical hysterectomy in Spain and Portugal between 2009 and 2018. A second primary objective was to audit the oncological outcomes according to quality indicators (QI) proposed by the European Society of Gynecology Oncology (ESGO). The study population included 239 women. After a median follow-up of 51 months, recurrence occurred in 26 patients (10.9%). Independent factors for recurrence were clinical tumor size > 20 mm (hazard ratio (HR) 2.37), adenocarcinoma as histological type (HR 2.51), positive pelvic lymph nodes (HR 4.83), tumor grade 2 (HR 4.99), tumor grade 3 (HR 8.06), and having not performed sentinel lymph node biopsy (SLNB) (HR 4.08). All 5 QI selected were surpassed by our results. In patients with early-stage cervical cancer undergoing robotic radical hysterectomy, clinicians should be aware that tumor grade 2 and 3, tumor size > 20 mm, adenocarcinoma, positive pelvic nodes, and lack of performance of SLNB are risk factors for recurrence. Fulfillment of QI targets of the ESGO might be considered as an objective oncological outcome indicator supporting the minimally invasive approach for early-stage cervical cancer treatment.

Sign in / Sign up

Export Citation Format

Share Document