Biomedical subjects

Marco Zaider

Publications and source records attributed to Marco Zaider.

7 recordsLinked to original sources

PubMed2003

Intraoperative dynamic dose optimization in permanent prostate implants.

PURPOSE: With the advent of intraoperative optimized planning, the treatment of prostate cancer with permanent implants has reached an unprecedented level of dose conformity. However, because of well-documented (and unavoidable) inaccuracies in seed placement into the gland, carrying out a plan results in a large degree of variability relative to the intended dose distribution. This brings forth the need to periodically readjust the plan to allow for the real positions of seeds already implanted. In this paper, an algorithm for performing this task, hereby described as intraoperative dynamic dose optimization (IDDO), is presented and assessed. METHODS AND MATERIALS: The general scheme for performing IDDO consists of three steps: (1) at some point during the implant, coordinates of implanted seeds are identified; (2) seed images are projected onto the reference frame of the ultrasound images for planning; and (3) the plan is reoptimized. Work on the first two steps is reported elsewhere. Here, we focus on the strategy for implementing the reoptimization step. An optimal treatment plan is first obtained based on initial operating room-acquired ultrasound images. We analyze the sensitivity and effect of the IDDO procedure with respect to the total number of reoptimizations performed. Specifically, we consider reoptimizing 2, 3, and 4 times. When two reoptimizations are used, half of the seeds from the initial optimal plan are implanted. The first reoptimization is performed on the remaining possible seed positions, and all the seeds designated in this reoptimized plan are implanted. The second (final) reoptimization is done on the remaining unused seed positions to ensure 100% coverage of the gland and to eliminate possible cold spots in the gland. Similarly, when three reoptimization steps are used, one-third of the seeds from the initial optimized plan, one-half of the seeds from the first reoptimization, and all seeds from the second reoptimization are implanted. The third (final) reoptimization is performed to assist in eliminating possible cold spots. Reoptimizing four times proceeds in a like manner. Fifteen patient cases are used for comparison. Strict dose bounds of 100% and 120% of the prescription dose are imposed on the urethra, and 100% coverage is imposed on the prostate volume. To assist in achieving good conformity, prostate contour points are assigned a target upper dose bound of 150% of the prescription dose. RESULTS: A two-way comparison is performed: (a) initial optimized plan, (b) IDDO plan. Postimplant dose analysis, coverage and conformity measures, as well as actual dose received by urethra and rectum are used to gauge the results. The initial optimized plan consistently provides 93% prescription dose coverage to the gland with average conformity index of 1.32. The urethra dose ranges within 100% to 150%, and the maximum dose delivered to the rectum reaches 91% of the prescription dose. On average, about 50% of the urethra receives more than 120% of the prescription dose, and 19% of the rectum volume receives more than the 78% upper dose limit. For the IDDO plan, 100% postimplant coverage with 1.16 conformity is achieved. Urethra and rectum dose is maintained within the prescribed 100% to 120% range and 78% upper bound, respectively. CONCLUSIONS: With real-time treatment planning, it is possible to dynamically reoptimize treatment plans to account for actual seed positions (as opposed to planned positions) and needle-induced swelling to the gland during implantation. Postimplant analysis shows that the final seed configuration resulting from the IDDO method yields improved dosimetry. The algorithmic design ensures that one can achieve complete coverage while maintaining good conformity, thus sparing excess radiation to external tissue. The study also provides evidence of the possibility of morbidity reduction to urethra and rectum (because of reduced dose delivered to these structures) via the use of IDDO planning. Clinical studies are needed to validate the importance of our approach.

Algorithms↗

PubMed2003

Improved conformality and decreased toxicity with intraoperative computer-optimized transperineal ultrasound-guided prostate brachytherapy.

PURPOSE: We have developed an intraoperative three-dimensional (3D) conformal treatment planning system for permanent prostate implantation in an effort to reduce toxicity further and improve the accuracy of this procedure. We report the preliminary outcome of patients with localized prostate cancer treated with this approach. METHODS AND MATERIALS: Two hundred forty-eight patients with clinically localized prostate cancer were treated with transperineal ultrasound-guided permanent prostate implantation using a real-time intraoperative 3D conformal technique (I-3D) between 1997 and 2001. A genetic algorithm optimization program intraoperatively evaluated the dose deposited throughout the entire 3D volume for multiple seed configurations to identify which seed-loading pattern adhered best to the predetermined target, urethral and rectal dose constraints. The median follow-up time in these patients was 27 months (range 12-51). The dosimetric outcome and acute toxicity profile of these 248 patients were compared with those of patients who were treated between 1988 and 1996 at our institution with a preplanned transperineal implantation technique (PP). RESULTS: Postimplantation dosimetric analysis of the I-3D group demonstrated that the median value of the percentage of the target volume treated to at least the prescription dose (V(100)) was 96%, and the target coverage with the prescription dose (PD) was </=90% in only 3% of these patients. In contrast, among patients treated with the PP method, the median V(100) was 88% and the target coverage with the PD was </=90% in 60% of these patients (p < 0.001). For the I-3D patients, the median and maximal dose to the urethra was 140% and 170% of the PD, respectively, compared with 263% and 532%, respectively, for patients treated with the PP technique. The percentage of urinary symptom resolution at 6, 12, 18, and 24 months for the I-3D cohort was 39%, 72%, 90%, and 97%, respectively. In contrast, the percentage of symptom resolution at the same intervals for patients treated with the PP technique was 12%, 20%, 31%, and 42% (p < 0.001). Multivariate analysis demonstrated that the I-3D technique was an independent predictor of improved target coverage, reduced urethral dose, and more rapid resolution of urinary-related symptoms. The improved dosimetric conformity with the I-3D technique did not compromise the biochemical outcome, as the 4-year actuarial prostate-specific antigen relapse-free survival rate for this group was 97%. CONCLUSION: The integration of an intraoperative optimization program with 3D dose evaluation throughout the target volume for prostate brachytherapy has consistently achieved excellent target coverage with the PD, and the dose levels to normal tissues were effectively restricted to tolerance ranges. These changes have led to a more favorable acute toxicity profile for patients treated with this technique without compromising biochemical control.

Aged↗

PubMed2003

The effect of incisions for cataract on corneal curvature.

PURPOSE: To determine the magnitude and duration of change on the horizontal and vertical meridians of the cornea after five different incisions for cataract. DESIGN: Retrospective comparative interventional study of five commonly used incisions for cataract surgery: extracapsular cataract extraction (ECCE), 6-mm superior scleral tunnel (6Sup), 3-mm superior scleral tunnel (3Sup), 3-mm temporal scleral tunnel (3Temp), and 3-mm temporal corneal incision (3Cor). PARTICIPANTS: A total of 662 cases with preoperative regular astigmatism, measured with keratometry. METHODS: The mean net change on each meridian was computed at 1 day, 1 week, 2 weeks, 1 month, 1.5 months, 2 months, 4 months, 6 months, and 12 months and at succeeding 6-month intervals after surgery. Best-fit parameters were calculated for the observed changes in the horizontal and vertical keratometry values after each incision. To determine when the cornea stabilized, average change on the horizontal and vertical meridians was compared with an estimate of the accuracy of keratometry measurement. MAIN OUTCOME MEASURES: The pattern of change on the horizontal and vertical meridians and time for the cornea to stabilize after each incision. RESULTS: The initial and final net changes after a superior incision decrease with length. A sigmoid equation describes the course of the changes on the horizontal and vertical meridians after the superior incisions. The changes after the temporal incisions depend linearly on time after surgery. Considering the uncertainty of keratometry, the corneal meridians stabilized 4.5 months after ECCE, 1.2 months after 6Sup, and 0.3 months after 3Sup. No significant change was detected on the horizontal and vertical meridians after 3Temp and 3Cor. CONCLUSIONS: The magnitude and the duration of keratometric change on the horizontal and vertical meridians of the cornea depend on the length and location of the incision. Within the limits of measurement error, no significant change in corneal curvature was detected after either small temporal incision.

Adult↗

PubMed2002

Towards integrating functional imaging in the treatment of prostate cancer with radiation: the registration of the MR spectroscopy imaging to ultrasound/CT images and its implementation in treatment planning.

PURPOSE: Dose-escalation to intraprostatic tumor deposits detected by magnetic resonance spectroscopy (MRS) is an example of tumor-targeted radiation therapy. Because treatment planning for prostate brachytherapy is performed based on ultrasound (US)/computed tomography (CT) images, a sine qua non of this technique is the ability to map MRS-positive volumes (obtained in a gland deformed by the endorectal balloon coil) to the US/CT images. An empirical algorithm designed to perform this function, and its validation, are described. METHODS AND MATERIALS: Mathematically, the problem of mapping points between the MR and US/CT domains comes to: (a) ascertaining that the position of any point in the interior of the prostate is uniquely determined by the shape of the gland, and (b) finding an algorithm that describes this relationship. The image registration algorithm described here is based on the assumption that points within the gland maintain the same relative position with respect to both the axial contours of the prostate and the center of the prostate along the superior-inferior direction. Relative positions of MRS-positive voxels are calculated with this method in both MR and US/CT space. For a particular voxel in the MR space, one obtains first the z coordinate in the US/CT space, that is, along the superior-inferior direction. This determines the axial slice in the US/CT frame of reference where the other two coordinates (x, y) will be calculated. The validity of this algorithm was examined with the aid of a pelvic phantom built to simulate realistically the prostate and its surrounding bony and tissue structures and with CT scans of implanted patients obtained, at several weeks' intervals, as part of an edema-resolution study. Seventy-five "dummy" seeds were placed in the phantom, within the simulated prostate gland, in a quasi-regular pattern. The coordinates of these seeds were determined and thus served as markers of prostate deformation when an inflated rectal probe was introduced in the phantom. CT images of this phantom were taken for different volumes of the MR rectal probe and in each case the prostate outlines were contoured and seed coordinates calculated. Using these data, the predictions of the mapping algorithm could be directly verified. RESULTS: Absolute values of the 3D-positional errors in this algorithm were 2.2 mm +/- 1.2 mm (average +/- SD). Only 6 of 75 seeds had positional displacement of 4 mm or more. Similar results were obtained in the patient analysis. CONCLUSIONS: In comparison to the MRS voxel size (6.25 x 6.25 x 3.0 mm3), the present algorithm achieves the desired clinical accuracy. As well, with this 3D algorithm seed positions are reconstructed with an uncertainty that, along the z direction, is less than half the thickness of the typical US slice (0.5 cm).

Algorithms↗

PubMed2002

Automated planning volume definition in soft-tissue sarcoma adjuvant brachytherapy.

In current practice, the planning volume for adjuvant brachytherapy treatment for soft-tissue sarcoma is either not determined a priori (in this case, seed locations are selected based on isodose curves conforming to a visual estimate of the planning volume), or it is derived via a tedious manual process. In either case, the process is subjective and time consuming, and is highly dependent on the human planner. The focus of the work described herein involves the development of an automated contouring algorithm to outline the planning volume. Such an automatic procedure will save time and provide a consistent and objective method for determining planning volumes. In addition, a definitive representation of the planning volume will allow for sophisticated brachytherapy treatment planning approaches to be applied when designing treatment plans, so as to maximize local tumour control and minimize normal tissue complications. An automated tumour volume contouring algorithm is developed utilizing computational geometry and numerical interpolation techniques in conjunction with an artificial intelligence method. The target volume is defined to be the slab of tissue r cm perpendicularly away from the curvilinear plane defined by the mesh of catheters. We assume that if adjacent catheters are over 2r cm apart, the tissue between the two catheters is part of the tumour bed. Input data consist of the digitized coordinates of the catheter positions in each of several cross-sectional slices of the tumour bed, and the estimated distance r from the catheters to the tumour surface. Mathematically, one can view the planning volume as the volume enclosed within a minimal smoothly-connected surface which contains a set of circles, each circle centred at a given catheter position in a given cross-sectional slice. The algorithm performs local interpolation on consecutive triplets of circles. The effectiveness of the algorithm is evaluated based on its performance on a collection of soft-tissue sarcoma tumour beds within various anatomical structures. For each of 15 patient cases considered, the algorithm takes approximately 2 min to generate the planning volume. Although the tumour shapes are rather different, the algorithm consistently generates planning volumes that visually demonstrate smooth curves compactly encapsulating the circles. This general-purpose contouring algorithm works well whether the catheters are all close together, spread far apart in the plane or arranged in a convoluted way. The automatic contouring algorithm significantly reduces labour time and provides a consistent and objective method for determining planning volumes for soft-tissue sarcoma. Further studies are needed to validate the significance of the resulting planning volumes in designing treatment plans and the role that sophisticated brachytherapy treatment planning optimization may have in producing good plans.

Adult↗

PubMed2002

The Anderson nomograms for permanent interstitial prostate implants: a briefing for practitioners.

PURPOSE: The objective of this report is to re-evaluate the role of the Anderson nomograms in treatment planning for permanent prostate implants. The incentive for revisiting this topic concerns three issues: (1) Although nomograms continue to be used in many centers for ordering seeds, few centers use them during treatment planning; (2) Whereas nomograms were designed to deliver a minimum peripheral dose for a uniform distribution of seeds in the gland, many practitioners use peripheral seed loading patterns to reduce urethral toxicity; and (3) As preoperative and intraoperative treatment planning is becoming standard, the apparent role of nomograms is diminished. The nomogram method is reviewed in terms of: (1) total activity predicted, (2) target coverage (as planned in the operating room and as calculated from postimplant computed tomography studies), and (3) reproducibility (i.e., patient-to-patient and planner-to-planner variability). In each case, the computer-optimization system for intraoperative planning currently in use at our institution was taken as the "gold standard." METHODS AND MATERIALS: We compared for the same patient the results of nomogram planning to those yielded by genetic algorithm (GA) optimization in terms of total activity predicted (n = 20 cases) and percent target coverage (n = 5 cases). Furthermore, we examined retrospectively the dosimetry of 61 prostate implants planned with the GA (n = 27) and the current implementation of Anderson nomograms (n = 34). RESULTS: Nomogram predictions of the total activity required are in good agreement (within 10%) with the GA-planned activity. However, computer-optimized plans consistently yield superior plans, as reflected in both pre- and postimplant analyses. We find also that user (specifically, treatment planner) implementation of the nomograms may be a major source of variability in nomogram planning-a difficulty to which robust computer optimization is less prone. CONCLUSIONS: Nomograms continue to be useful tools for predicting the total required activity for volume implants, and thus for performing an independent check of this quantity. Not unexpectedly, computer optimization remains the preferred planning method. Generally, nomogram-guided implants do not incorporate structures other than the treatment volume into the planning process. Further yet, they deliver a lower dose than that prescribed and result in greater variability among plans than computer-optimized treatments. In summary, nomograms (1) remain an efficient quality assurance tool for computer-generated plans, (2) serve as a good predictor of the number of seeds required for ordering purposes, and (3) provide a simple and dependable backup planning method in case the intraoperative planning system fails.

Algorithms↗

PubMed2002

Optimized planning for intraoperative planar permanent-seed implant.

We describe a fast, PC-based optimization planning system for a planar permanent-seed implant. Sites where this system is applicable include brain, lung, and head and neck. The system described here allows placing ribbons of different strengths and of different lengths along and across the implant plane. The program takes full advantage of the availability of different source strengths in inventory, and attempts to find configurations of ribbons that result in optimal dose uniformity over the prescription plane. Dosimetry is based on the AAPM TG 43 Report [R. Nath et al., Med. Phys. 22, 209-234 (1995)]. Compared with TG 43 parameters, the classical tables underestimate the I-125 source strengths needed by 40%. The use of several source strengths improves the plan. Typical optimization yields dose uniformity of 10%, and computing times are within 2-3 min. No further enhancement is obtained if ribbons are placed in a grid pattern as opposed to the (simpler) arrangement along parallel lines. Nor is it valuable to have variable ribbon lengths. For an I-125 implant the optimization system described here is a practical alternative to the (strictly speaking inapplicable) classical systems. It calculates correctly the total source strengths, and--most notably--generates plans with optimal dose uniformity. The fast computing time is well suited for planning during surgery in the operating room.

Brain Neoplasms↗