Number Of Tumor Lesions Research Articles

Radiologist’s Role in Breast Cancer Staging: Providing Key Information for Clinicians

Breast cancer is the second leading cause of cancer death in women, exceeded only by lung cancer, and the 5-year survival rate is largely dependent on disease stage. The American Joint Committee on Cancer (AJCC) staging system for breast cancer (7th edition) provides a tumor-node-metastasis (TNM) classification scheme for breast cancer that is important for determining prognosis and treatment. Ascertaining the correct stage of breast cancer can be challenging, and the importance of the radiologist's role has increased over the years. The radiologist should understand how breast cancer stage is assigned and should be familiar with the AJCC's TNM classification scheme. The authors review the AJCC's TNM staging system for breast cancer with emphasis on clinical and preoperative staging, the different imaging modalities used in staging, and the key information that should be conveyed to clinicians. Radiologic information that may alter stage, prognosis, or treatment includes tumor size; number of tumor lesions; total span of disease; regional nodal status (axillary levels I-III, internal mammary, supraclavicular); locoregional invasion (involvement of the pectoralis muscle, skin, nipple, or chest wall); and distant metastases to bone, lung, brain, and liver, among other anatomic structures.

Transarterial chemoembolization for the treatment of advanced hepatocellular carcinoma with portal vein tumor thrombosis: prognostic factors in a single-center study of 188 patients.

Transarterial chemoembolization (TACE) could achieve a better survival benefit than conservative treatment for advanced hepatocellular carcinoma (HCC) with portal vein tumor thrombosis (PVTT). In this retrospective study, all HCC patients with Child-Pugh score <7 and PVTT who were consecutively admitted to our center between January 2006 and June 2012 and underwent TACE were enrolled. The efficacy and safety of TACE were analyzed. Prognostic factors were determined by Cox regression analysis. Of the 188 patients included, 89% had hepatitis B virus infection, 100% were at Barcelona Clinic Liver Cancer stage C, and 81% (n = 152) and 19% (n = 36) were at Child-Pugh classes A and B, respectively. The incidence of procedure-related complications was 88%. No procedure-related death was found. The median overall survival was 6.1 months. Type of PVTT (hazard ratio [HR] = 2.806), number of tumor lesions (HR = 2.288), Child-Pugh class (HR = 2.981), and presence of metastasis (HR = 1.909) were the independent predictors of survival. In conclusion, TACE could be selectively used for the treatment of advanced HCC with PVTT. But a high rate of postoperative adverse events should not be undermined in spite of no procedure-related death. Preoperative type of PVTT, number of tumor lesions, Child-Pugh class, and metastasis could predict the prognosis of these patients.

Mortality risk after liver transplantation in hepatocellular carcinoma recipients: A nonlinear predictive model

The balanced application of a model for the estimate of outcomes of liver transplantation, in concert with assessment of disease severity, would not only improve transplant outcomes and maximize patient benefit from transplantation, but also facilitate informed decision making by patients and their relatives when considering transplantation. So far, however, linear discriminating methods have failed to attain sufficient power to predict post-transplant prognosis. Therefore, our aim was to develop a cancer-specific prognostic model by a nonlinear methodology based on pretransplant characteristics. With data collected retrospectively from 290 liver transplant recipients with HCC from February 1999 to August 2009, a multilayer perceptron (MLP) neural network was constructed to predict mortality risk after transplantation. Its predictive performances at posttransplant 1-, 2-, and 5-year intervals were evaluated using a receiver operating characteristic curve. By the forward stepwise selection in MLP network, donor age, donor body mass index, recipient hemoglobin, serum concentrations of total bilirubin, alkaline phosphatase, creatinine, aspartate aminotransferase, international normalized ratio of prothrombin time, and Na(+); alpha fetoprotein categorization, total diameter, number of tumor lesions, presence of imaging macrovascular invasion, and lobe distribution of the tumor were identified to be the optimal input features. The MLP, employing 24 inputs and 7 hidden neurons, yielded c-statistics of 0.909 (P < .001) in the 1-year, 0.888 (P < .001), in the 2-year, and 0.845 (P < .001) in the 5-year prediction. Post-transplant prognosis is a multidimensional, nonlinear problem, and the specific MLP can achieve high accuracy in the prediction of posttransplant mortality risk for HCC recipients. The pattern recognition methodologies like MLP hold promise for solving outcome prediction after liver transplantation.

Circulating tumor cells predict progression free survival and overall survival in patients with relapsed/recurrent advanced ovarian cancer

Objective Serial circulating tumor cell (CTC) counts have demonstrated predictive and prognostic value in patients with metastatic breast, colorectal, and prostate cancer. In a phase III study of pegylated liposomal doxorubicin (PLD) with trabectedin vs. PLD for relapsed ovarian cancer, we evaluated the correlation, if any, between numbers of CTCs and progression free survival, (PFS) and overall survival (OS). Methods CTCs were isolated from peripheral blood (10 mL) using the CellSearch system and reagents (Veridex). A CTC is defined as EpCAM+, cytokeratin+, CD45−, and is positive for the nuclear stain DAPI. The normal reference range for CellSearch is < 2 CTC/7.5 mL of blood. Hazard ratios adjusted for known prognostic factors were estimated by Cox regression. Results Two-hundred sixteen patients had baseline CTC measurements of which 111 (51.4%) were randomized to the trabectedin + PLD arm; 143/216 patients (66.2%) were platinum-sensitive. Thirty-one of 216 patients (14.4%) had 2 or more CTCs detected prior to the start of therapy (range 2–566). Univariate Cox regression analyses indicated that patients with ≥ 2 CTCs prior to therapy had 1.89- ( p = 0.003) and 2.06-fold ( p = 0.003) higher risk for progression and death respectively. Multivariate analyses that include baseline CA-125, platinum sensitivity status, largest diameter lesion, number of tumor lesions, ECOG PS, and tumor grade show that patients with elevated baseline CTC had 1.58- ( p = 0.058) and 1.54-fold ( p = 0.096) higher risk for progression and death respectively. Conclusions Results from this study indicate that elevated numbers of CTCs impart an unfavorable prognosis for ovarian cancer patients.

1325 Regulation of Tissue factor (TF) in colorectal cancer: association with KRAS

Serial circulating tumor cell (CTC) counts have demonstrated predictive and prognostic value in patients with metastatic breast, colorectal, and prostate cancer. In a phase III study of pegylated liposomal doxorubicin (PLD) with trabectedin vs. PLD for relapsed ovarian cancer, we evaluated the correlation, if any, between numbers of CTCs and progression free survival, (PFS) and overall survival (OS).CTCs were isolated from peripheral blood (10 mL) using the CellSearch system and reagents (Veridex). A CTC is defined as EpCAM+, cytokeratin+, CD45−, and is positive for the nuclear stain DAPI. The normal reference range for CellSearch is < 2 CTC/7.5 mL of blood. Hazard ratios adjusted for known prognostic factors were estimated by Cox regression.Two-hundred sixteen patients had baseline CTC measurements of which 111 (51.4%) were randomized to the trabectedin + PLD arm; 143/216 patients (66.2%) were platinum-sensitive. Thirty-one of 216 patients (14.4%) had 2 or more CTCs detected prior to the start of therapy (range 2–566). Univariate Cox regression analyses indicated that patients with ≥ 2 CTCs prior to therapy had 1.89- (p = 0.003) and 2.06-fold (p = 0.003) higher risk for progression and death respectively. Multivariate analyses that include baseline CA-125, platinum sensitivity status, largest diameter lesion, number of tumor lesions, ECOG PS, and tumor grade show that patients with elevated baseline CTC had 1.58- (p = 0.058) and 1.54-fold (p = 0.096) higher risk for progression and death respectively.Results from this study indicate that elevated numbers of CTCs impart an unfavorable prognosis for ovarian cancer patients.

Circulating tumor cells (CTC) in a study of relapsed/recurrent advanced ovarian cancer: An exploratory analysis in the ova-301 phase III study of pegylated liposomal doxorubicin (PLD) compared with trabectedin and PLD

5551 Background: Circulating tumor cells (CTC) have demonstrated predictive and prognostic value among patients with metastatic breast, colorectal, and prostate cancer. In a phase III study of pegylated liposomal doxorubicin (PLD) with trabectedin (T) vs PLD for relapsed ovarian cancer, we assessed the affect of CTCs on progression free survival, (PFS) and overall survival (OS). Methods: CTCs were isolated from peripheral blood (10 mLs) using the CellSearch system and reagents (Veridex). A CTC is defined as EpCAM+, cytokeratin+, CD45-, and is positive for the nuclear stain DAPI. The normal reference range for CellSearch is &lt; 2 CTC/7.5 mLs of blood. Hazard ratios adjusted for known prognostic factors were estimated by Cox regression. Results: 216 subjects had baseline CTC measurements of which 111 (51.4%) were randomized to the PLD+T arm; 143/216 patients (66.2%) were platinum sensitive. Thirty-one/216 patients (14.4%) had 2 or more CTCs detected prior to the start of therapy (range 2–566). Univariate Cox regression analyses indicated that patient's &gt; 2 CTCs prior to therapy have 1.89 (p = 0.003) and 2.06 (p = 0.003) fold higher risk for progression and death respectively. Multivariate analyses that include baseline CTC, baseline CA125, platinum sensitivity status, largest diameter lesion, number of tumor lesions, ECOG PS, age, tumor histology, tumor grade and prior taxane show that patients with elevated baseline CTC have 1.58 (p = 0.058) and 1.54 (p = 0.096) fold higher risk for progression and death respectively. Conclusions: Results from this study indicate that although CTC detection in blood from relapsed recurrent ovarian cancer patients is relatively low, elevated numbers of CTCs imparts an unfavorable prognosis for patients. Multivariate analysis indicates that CTCs have prognostic value that is independent of established factors and thus provides a clinically useful tool for assessing prognosis in this difficult to treat patient population. [Table: see text]

Correlation of Multislice CT and Histomorphology in HCC Following TACE: Predictors of Outcome

The purpose of this study was to correlate histopathological with CT findings in patients suffering from hepatocellular carcinoma (HCC) eligible for orthotopic liver transplantation (OLT), with a special focus on the antitumoral effect of transarterial chemoembolization (TACE) therapy. A total of 42 consecutive patients suffering from HCC had been treated prior to OLT by means of TACE. TACE was carried out with a mixture of Lipiodol (10-20 ml) and mitomycin C (max. dosage, 10 mg). TACE was performed at 6- to 8-week intervals. Follow-up investigation included contrast-enhanced multislice CT controls and laboratory control. Liver explants were evaluated macroscopically and microscopically to determine the number and size of the tumor lesions as well as the degree of tumor necrosis. Necrosis was investigated in H&E-stained sections. The degree of necrosis was classified as follows: 0-25%, 26-50%, 51-75%, 75-99%, and complete necrosis. Two hundred thirty-one TACE procedures (5.5 +/- 2.9; range, 1-14) were performed. Mean tumor size in CT before and after TACE was 4.1 +/- 2.4 (range, 1.0-12.0 cm) and 2.7 +/- 1.2 (range, 1.0-6.0 cm; p < 0.001). Mean tumor number before and after TACE in CT was 2.5 +/- 1.5 (n = 105; range, 1-8) and 2.4 +/- 2.0 (n = 103; range, 1-6; p = 0.99). In the surgical specimen tumor size and tumor number were 2.8 +/- 1.6 (range, 1.0-7.0 cm; p = 0.78) and 1.9 +/- 1.2 (range, 1-7; p = 0.003). Mean tumor necrosis was 67.8% +/- 28.1%. Tumor necrosis was subtotal or complete in 17 of 42 (40.5%) patients. Tumor necrosis correlated significantly with the degree of arterial devascularization in CT (p = 0.001), the amount of Lipiodol washout (p = 0.002), and the number of tumor lesions (i.e., unifocal vs. multifocal). Furthermore, elevated serum levels of bilirubin (p = 0.005) and decreased albumin (p = 0.004) affected the local antitumoral effect. A poor necrosis rate (< 25%) significantly correlated with the number of TACE procedures accomplished (p = 0.023). In conclusion, TACE provided an acceptable local antitumoral effect in patients scheduled for liver transplantation. Tumor necrosis depended significantly on the degree of arterial devascularization and the accumulation of Lipiodol within the HCC lesions. Unifocal tumors and preserved liver function were positive predictors for a more favorable local antitumoral effect. Poor necrosis rates were found in patients with significant Lipiodol washout and who received a limited number of TACE procedures.

Prognostic Index for Survival in Patients After Treatment for Primary Hepatocellular Carcinoma

We retrospectively evaluated clinical factors affecting long-term survival after treatment for hepatocellular carcinoma (HCC) to predict the reliability of the prognosis of patients with HCC. We analyzed 157 patients who received treatment for HCC. The prognostic index (PI) was evaluated using the Cox regression model. The overall cumulative survival rates were 79.7% at 1 year, 51.1% at 3 years, and 24.9% at 5 years. The PI was calculated by the following formula, consisting of five factors: PI = 0.637 x number of tumor lesions + 0.103 x tumor diameter + 1.003 x ascites + 0.915 x portal vein tumor thrombosis - 0.006 x cholinesterase + 2.0. It was found that liver function and progression of the tumor are the most important factors for prognosis after treatment for HCC. The PI, based on five factors, will in future be an appropriate index to predict the prognosis of patients with HCC.