MDCT arthrography of the hip: value of the adaptive statistical iterative reconstruction technique and potential for radiation dose reduction.

OBJECTIVE: The purpose of this article is to assess the effect of the adaptive statistical iterative reconstruction (ASIR) technique on image quality in hip MDCT arthrography and to evaluate its potential for reducing radiation dose. SUBJECTS AND METHODS: Thirty-seven patients examined with hip MDCT arthrography were prospectively randomized into three different protocols: one with a regular dose (volume CT dose index [CTDIvol], 38.4 mGy) and two with a reduced dose (CTDIvol, 24.6 or 15.4 mGy). Images were reconstructed using filtered back projection (FBP) and four increasing percentages of ASIR (30%, 50%, 70%, and 90%). Image noise and contrast-to-noise ratio (CNR) were measured. Two musculoskeletal radiologists independently evaluated several anatomic structures and image quality parameters using a 4-point scale. They also jointly assessed acetabular labrum tears and articular cartilage lesions. RESULTS: With decreasing radiation dose level, image noise statistically significantly increased (p=0.0009) and CNR statistically significantly decreased (p=0.001). We also found a statistically significant reduction in noise (p=0.0001) and increase in CNR (p≤0.003) with increasing percentage of ASIR; in addition, we noted statistically significant increases in image quality scores for the labrum and cartilage, subchondral bone, overall diagnostic quality (up to 50% ASIR), and subjective noise (p≤0.04), and statistically significant reductions for the trabecular bone and muscles (p≤0.03). Regardless of the radiation dose level, there were no statistically significant differences in the detection and characterization of labral tears (n=24; p=1) and cartilage lesions (n=40; p≥0.89) depending on the ASIR percentage. CONCLUSION: The use of up to 50% ASIR in hip MDCT arthrography helps to reduce radiation dose by approximately 35-60%, while maintaining diagnostic image quality comparable to that of a regular-dose protocol using FBP.

Effect of low-dose chest irradiation before chemotherapy on the rate of local failure in small-cell lung cancer.

PURPOSE: To evaluate the rate of tumor recurrence within the irradiated volume after initial low-dose irradiation of limited-stage small-cell lung cancer (SCLC), to assess the tolerance of a sequential combination of low-dose chest irradiation followed by chemotherapy, and to confirm the responsiveness of limited-stage SCLC to low-dose irradiation. METHODS AND MATERIALS: In this pilot study, 26 patients with limited-stage SCLC were treated by first-line 20-Gy thoracic irradiation followed 3 weeks later by chemotherapy (cisplatin, doxorubicin, and etoposide for six cycles). RESULTS: We present our final results with a median follow-up of surviving patients of 7 years. The response rate to this low-dose irradiation was 83%, with an overall response rate to radiochemotherapy of 96% and a median survival of 21 months. No unexpected early or late toxicity was observed. The rate of initial isolated local failure was 8%, which compares favorably with other published series using higher doses of radiochemotherapy. CONCLUSION: An initial chest irradiation of 20 Gy before chemotherapy could be sufficient to reduce the risk of local failure during the time of survival of patients with limited-stage SCLC. Potential advantages of this treatment may be the prevention of resistance mechanisms to radiotherapy induced by preliminary chemotherapy and a reduced radiation-induced toxicity.

Adaptive statistical iterative reconstruction reduces patient radiation dose in neuroradiology CT studies.

INTRODUCTION: Adaptive statistical iterative reconstruction (ASIR) can decrease image noise, thereby generating CT images of comparable diagnostic quality with less radiation. The purpose of this study is to quantify the effect of systematic use of ASIR versus filtered back projection (FBP) for neuroradiology CT protocols on patients' radiation dose and image quality. METHODS: We evaluated the effect of ASIR on six types of neuroradiologic CT studies: adult and pediatric unenhanced head CT, adult cervical spine CT, adult cervical and intracranial CT angiography, adult soft tissue neck CT with contrast, and adult lumbar spine CT. For each type of CT study, two groups of 100 consecutive studies were retrospectively reviewed: 100 studies performed with FBP and 100 studies performed with ASIR/FBP blending factor of 40 %/60 % with appropriate noise indices. The weighted volume CT dose index (CTDIvol), dose-length product (DLP) and noise were recorded. Each study was also reviewed for image quality by two reviewers. Continuous and categorical variables were compared by t test and free permutation test, respectively. RESULTS: For adult unenhanced brain CT, CT cervical myelography, cervical and intracranial CT angiography and lumbar spine CT both CTDIvol and DLP were lowered by up to 10.9 % (p < 0.001), 17.9 % (p = 0.005), 20.9 % (p < 0.001), and 21.7 % (p = 0.001), respectively, by using ASIR compared with FBP alone. Image quality and noise were similar for both FBP and ASIR. CONCLUSION: We recommend routine use of iterative reconstruction for neuroradiology CT examinations because this approach affords a significant dose reduction while preserving image quality.

Characterization of the effect of mammary gland irridiation on experimental brest cancer progression and analysis of the implicated mechanisms

SUMMARY Radiotherapy is commonly and efficiently used to treat solid cancer in the clinic. Experimental evidence however suggests that radiation can promote tumor progression by inducing chronic modifications of the tumor microenvironment. Clinically, these observations are highly relevant to aggressive tumoral lesions relapsing after radiation therapy, a leading cause of patients' death. The investigation and understanding of the biological mechanisms implicated in the malignant progression of post-radiation relapses are therefore of major importance. Here we used a syngeneic (immunocompetent) breast cancer orthotopic xenograft model, to show that local irradiation of the mammary gland promotes the appearance of an invasive and metastatic tumor phenotype. Previous studies in our laboratory revealed that inhibition of tumor-induced angiogenesis and consequent increase in tumor hypoxia promotes metastasis formation through the activation of pro-invasive programs in the tumor cells. Our results extend these observations suggesting that mammary gland irradiation induces the recruitment of CD11b+ cells to both the primary tumor and the lungs at pre-metastatic stages through the hypoxia-dependent induction of Kit-ligand (KITL) expression in primary tumors. Abrogation of KITL expression in tumor cells prevented CD11 b+ cells accumulation in both the primary tumor and lungs and significantly reduced metastases of tumors growing in irradiated mammary gland. Importantly, irradiated mammary gland enhanced tumor-induced mobilization of circulating CD11b+cKit+ myelomonocytic cells through a HIF1- and KITL-dependent process. By cell transfer experiments, mobilized circulating CD11b+cKit+ cells were shown to supply both tumor- and lungs infiltrating CD11b+ cells. Using a blocking antibody against cKit (the KITL receptor), the mobilization of CD11b+cKit+ ceils was prevented as well as lung metastases derived from tumors growing in irradiated mammary gland. Taken together, these results indicate that tumors growing in a pre-irradiated mammary gland partially promote their malignant progression through the distant mobilization of circulating myelomonocytic precursor cells. They identify KITL inhibition and/or cKit receptor neutralization as potentially promising therapeutic approaches for post-radiation relapses. RESUME La radiothérapie est largement utilisée comme traitement de choix de nombreux types de cancers. L'agressivité des récidives tumorales observée en clinique après radiothérapie suggère cependant que le recours à l'irradiation pourrait dans certains cas accélérer la progression tumorale. De récents travaux expérimentaux ont en effet permis d'appuyer cette hypothèse, en montrant notamment l'effet néfaste des modifications chroniques de l'environnement induites par l'irradiation sur la progression tumorale. A l'aide d'un modèle murin syngénique orthotopique de cancer de sein, nous avons pu montrer que l'irradiation locale de la glande mammaire facilite l'invasion et la dissémination métastatique des cellules tumorales en favorisant le recrutement de cellules myéloïdes CD11 b+ vers la tumeur primaire et les poumons à un stade pré-métastatique. Comme mécanisme impliqué dans le recrutement des cellules CD11b+, nous avons pu observer après irradiation locale de la glande mammaire une expression augmentée de Kit-ligand (KITL) dans la tumeur (induite par l'hypoxie) ainsi que la mobilisation de cellules myéloïdes circulantes exprimant le récepteur cKit et précurseurs des cellules CD11b+ infiltrant la tumeur et les poumons. En empêchant la mobilisation par la tumeur de cellules circulantes cKit+ par des approches à la fois génétique et pharmacologique nous avons pu prévenir l'accumulation de cellules myéloïdes CD11 b+ dans la tumeur primaire et les poumons ainsi que la dissémination métastatique induites par' l'irradiation de la glande mammaire. De façon générale, ces résultats montrent que la progression agressive des tumeurs qui se développent dans un environnement irradié repose à la fois sur l'expression tumorale de KITL et la mobilisation de cellules myéloïdes précurseurs cKit*. Ils auront permis d'identifier KITL et/ou cKit comme des cibles thérapeutiques potentielles intéressantes pour le traitement des récidives tumorales après radiothérapie.

Uncertainty associated with Monte Carlo radiation transport in radionuclide metrology

In radionuclide metrology, Monte Carlo (MC) simulation is widely used to compute parameters associated with primary measurements or calibration factors. Although MC methods are used to estimate uncertainties, the uncertainty associated with radiation transport in MC calculations is usually difficult to estimate. Counting statistics is the most obvious component of MC uncertainty and has to be checked carefully, particularly when variance reduction is used. However, in most cases fluctuations associated with counting statistics can be reduced using sufficient computing power. Cross-section data have intrinsic uncertainties that induce correlations when apparently independent codes are compared. Their effect on the uncertainty of the estimated parameter is difficult to determine and varies widely from case to case. Finally, the most significant uncertainty component for radionuclide applications is usually that associated with the detector geometry. Recent 2D and 3D x-ray imaging tools may be utilized, but comparison with experimental data as well as adjustments of parameters are usually inevitable.