51
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Tsunashima Y, Vedam S, Dong L, Umezawa M, Sakae T, Bues M, Balter P, Smith A, Mohan R. Efficiency of respiratory-gated delivery of synchrotron-based pulsed proton irradiation. Phys Med Biol 2008; 53:1947-59. [PMID: 18364549 DOI: 10.1088/0031-9155/53/7/010] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Significant differences exist in respiratory-gated proton beam delivery with a synchrotron-based accelerator system when compared to photon therapy with a conventional linear accelerator. Delivery of protons with a synchrotron accelerator is governed by a magnet excitation cycle pattern. Optimal synchronization of the magnet excitation cycle pattern with the respiratory motion pattern is critical to the efficiency of respiratory-gated proton delivery. There has been little systematic analysis to optimize the accelerator's operational parameters to improve gated treatment efficiency. The goal of this study was to estimate the overall efficiency of respiratory-gated synchrotron-based proton irradiation through realistic simulation. Using 62 respiratory motion traces from 38 patients, we simulated respiratory gating for duty cycles of 30%, 20% and 10% around peak exhalation for various fixed and variable magnet excitation patterns. In each case, the time required to deliver 100 monitor units in both non-gated and gated irradiation scenarios was determined. Based on results from this study, the minimum time required to deliver 100 MU was 1.1 min for non-gated irradiation. For respiratory-gated delivery at a 30% duty cycle around peak exhalation, corresponding average delivery times were typically three times longer with a fixed magnet excitation cycle pattern. However, when a variable excitation cycle was allowed in synchrony with the patient's respiratory cycle, the treatment time only doubled. Thus, respiratory-gated delivery of synchrotron-based pulsed proton irradiation is feasible and more efficient when a variable magnet excitation cycle pattern is used.
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52
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Vedam S, Archambault L, Starkschall G, Mohan R, Beddar S. Determination of prospective displacement-based gate threshold for respiratory-gated radiation delivery from retrospective phase-based gate threshold selected at 4D CT simulation. Med Phys 2008; 34:4247-55. [PMID: 18072489 DOI: 10.1118/1.2794169] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Four-dimensional (4D) computed tomography (CT) imaging has found increasing importance in the localization of tumor and surrounding normal structures throughout the respiratory cycle. Based on such tumor motion information, it is possible to identify the appropriate phase interval for respiratory gated treatment planning and delivery. Such a gating phase interval is determined retrospectively based on tumor motion from internal tumor displacement. However, respiratory-gated treatment is delivered prospectively based on motion determined predominantly from an external monitor. Therefore, the simulation gate threshold determined from the retrospective phase interval selected for gating at 4D CT simulation may not correspond to the delivery gate threshold that is determined from the prospective external monitor displacement at treatment delivery. The purpose of the present work is to establish a relationship between the thresholds for respiratory gating determined at CT simulation and treatment delivery, respectively. One hundred fifty external respiratory motion traces, from 90 patients, with and without audio-visual biofeedback, are analyzed. Two respiratory phase intervals, 40%-60% and 30%-70%, are chosen for respiratory gating from the 4D CT-derived tumor motion trajectory. From residual tumor displacements within each such gating phase interval, a simulation gate threshold is defined based on (a) the average and (b) the maximum respiratory displacement within the phase interval. The duty cycle for prospective gated delivery is estimated from the proportion of external monitor displacement data points within both the selected phase interval and the simulation gate threshold. The delivery gate threshold is then determined iteratively to match the above determined duty cycle. The magnitude of the difference between such gate thresholds determined at simulation and treatment delivery is quantified in each case. Phantom motion tests yielded coincidence of simulation and delivery gate thresholds to within 0.3%. For patient data analysis, differences between simulation and delivery gate thresholds are reported as a fraction of the total respiratory motion range. For the smaller phase interval, the differences between simulation and delivery gate thresholds are 8 +/- 11% and 14 +/- 21% with and without audio-visual biofeedback, respectively, when the simulation gate threshold is determined based on the mean respiratory displacement within the 40%-60% gating phase interval. For the longer phase interval, corresponding differences are 4 +/- 7% and 8 +/- 15% with and without audiovisual biofeedback, respectively. Alternatively, when the simulation gate threshold is determined based on the maximum average respiratory displacement within the gating phase interval, greater differences between simulation and delivery gate thresholds are observed. A relationship between retrospective simulation gate threshold and prospective delivery gate threshold for respiratory gating is established and validated for regular and nonregular respiratory motion. Using this relationship, the delivery gate threshold can be reliably estimated at the time of 4D CT simulation, thereby improving the accuracy and efficiency of respiratory-gated radiation delivery.
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53
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Ezhil M, Vedam S, Choi B, Starkschall G, Balter P, Chang J. Determination of Patient-Specific Intra-Fractional Respiratory Motion Envelope of Tumors From Maximum Intensity Projections of 4D CT Datasets. Int J Radiat Oncol Biol Phys 2007. [DOI: 10.1016/j.ijrobp.2007.07.1689] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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54
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Sadagopan R, BenComo J, Martin R, Balter P, Vedam S, Nilsson G. TU-D-M100F-04: Characterisation, Commissioning and Evaluation of DELTA4 IMRT QA System. Med Phys 2007. [DOI: 10.1118/1.2761392] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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55
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Balter P, Lindsay P, Kudchadker R, Nelson C, Briere T, Vedam S, Komaki R, Mohan R. SU-FF-J-21: A Comparison of a Point Based Tool with An Image Overlay Tool for Fiducial Based Setup. Med Phys 2007. [DOI: 10.1118/1.2760526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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56
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Tsunashima Y, Vedam S, Dong L, Umezawa M, Balter P, Mohan R. TH-C-M100E-06: Determining Optimal Respiratory Gating Parameters for Passively Scattered Synchrotron Based Proton Irradiation. Med Phys 2007. [DOI: 10.1118/1.2761674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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57
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Keall P, Chang M, Benedict S, Thames H, Vedam S, Lin P. SU-FF-T-270: Investigating the Temporal Effects of Respiratory Gated IMRT Treatment Delivery On in Vitro Survival: A Theoretical and Experimental Study. Med Phys 2007. [DOI: 10.1118/1.2760931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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58
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Nelson C, Balter P, Choi B, Vedam S, Lindsay P, Kudchadker R, Briere T, Chang J, Morice R, Starkschall G. SU-DD-A3-03: Improvement in the Daily Alignment of Mobile Lung Tumors Using Implanted Fiducials. Med Phys 2007. [DOI: 10.1118/1.2760334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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59
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Archambault L, Vedam S, Starkschall G, Mohan R, Beddar S. TU-C-M100J-04: Determination of Prospective Displacement Gate Threshold for Respiratory-Gated Radiation Delivery From Retrospective Phase-Based Gate Threshold Selected at 4D CT Simulation. Med Phys 2007. [DOI: 10.1118/1.2761335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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60
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Nelson C, Balter P, Lindsay P, Briere T, Vedam S, Morice R, Komaki R, Starkschall G. SU-FF-J-04: Uncertainties in Respiratory Gating for Lung Tumors. Med Phys 2007. [DOI: 10.1118/1.2760509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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61
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Hunjan S, Balter P, Rosen I, Starkschall G, Prado K, Vedam S, Luo D, Liu H, Mohan R. 1024. Int J Radiat Oncol Biol Phys 2006. [DOI: 10.1016/j.ijrobp.2006.07.288] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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62
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Vedam S, Dong L, Zhang J, Chang J, Starkschall G, Cox J, Mohan R, Keall P. 2727. Int J Radiat Oncol Biol Phys 2006. [DOI: 10.1016/j.ijrobp.2006.07.1143] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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63
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Keall P, Cattell H, Pokhrel D, Dieterich S, Wong K, Murphy M, Vedam S, Wijesooriya K, Mohan R. SU-FF-J-70: Geometric Accuracy of a Real Time Target Tracking System with Dynamic MLC. Med Phys 2006. [DOI: 10.1118/1.2240847] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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64
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Keall P, Vedam S, George R, Bartee C, Siebers J, Lerma F, Weiss E, Chung T. The clinical implementation of respiratory-gated intensity-modulated radiotherapy. Med Dosim 2006; 31:152-62. [PMID: 16690456 DOI: 10.1016/j.meddos.2005.12.002] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/21/2005] [Indexed: 10/24/2022]
Abstract
The clinical use of respiratory-gated radiotherapy and the application of intensity-modulated radiotherapy (IMRT) are 2 relatively new innovations to the treatment of lung cancer. Respiratory gating can reduce the deleterious effects of intrafraction motion, and IMRT can concurrently increase tumor dose homogeneity and reduce dose to critical structures including the lungs, spinal cord, esophagus, and heart. The aim of this work is to describe the clinical implementation of respiratory-gated IMRT for the treatment of non-small cell lung cancer. Documented clinical procedures were developed to include a tumor motion study, gated CT imaging, IMRT treatment planning, and gated IMRT delivery. Treatment planning procedures for respiratory-gated IMRT including beam arrangements and dose-volume constraints were developed. Quality assurance procedures were designed to quantify both the dosimetric and positional accuracy of respiratory-gated IMRT, including film dosimetry dose measurements and Monte Carlo dose calculations for verification and validation of individual patient treatments. Respiratory-gated IMRT is accepted by both treatment staff and patients. The dosimetric and positional quality assurance test results indicate that respiratory-gated IMRT can be delivered accurately. If carefully implemented, respiratory-gated IMRT is a practical alternative to conventional thoracic radiotherapy. For mobile tumors, respiratory-gated radiotherapy is used as the standard of care at our institution. Due to the increased workload, the choice of IMRT is taken on a case-by-case basis, with approximately half of the non-small cell lung cancer patients receiving respiratory-gated IMRT. We are currently evaluating whether superior tumor coverage and limited normal tissue dosing will lead to improvements in local control and survival in non-small cell lung cancer.
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Keall P, Vedam S, George R, Siebers J, Chung T. PD-110 The clinical implementation of respiratory gated intensitymodulated radiotherapy. Lung Cancer 2005. [DOI: 10.1016/s0169-5002(05)80443-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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66
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Guan H, Yan H, Yin F, Kim J, Keall P, Vedam S, Movsas B. SU-FF-J-70: Respiratory Gated Radiation Therapy Directly Using Patient's Fluoroscopic Images Instead of External Or Internal Markers. Med Phys 2005. [DOI: 10.1118/1.1997616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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67
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Vedam S, Murphy M, Docef A, George R, Keall P. SU-FF-J-25: Long Term Prediction of Respiratory Motion with Artificial Neural Network Based Adaptive Filtering Techniques. Med Phys 2005. [DOI: 10.1118/1.1997571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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68
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Vedam S, Docef A, Fix M, Murphy M, Keall P. Dosimetric impact of geometric errors due to respiratory motion prediction on dynamic multileaf collimator-based four-dimensional radiation delivery. Med Phys 2005; 32:1607-20. [PMID: 16013720 DOI: 10.1118/1.1915017] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
The synchronization of dynamic multileaf collimator (DMLC) response with respiratory motion is critical to ensure the accuracy of DMLC-based four dimensional (4D) radiation delivery. In practice, however, a finite time delay (response time) between the acquisition of tumor position and multileaf collimator response necessitates predictive models of respiratory tumor motion to synchronize radiation delivery. Predicting a complex process such as respiratory motion introduces geometric errors, which have been reported in several publications. However, the dosimetric effect of such errors on 4D radiation delivery has not yet been investigated. Thus, our aim in this work was to quantify the dosimetric effects of geometric error due to prediction under several different conditions. Conformal and intensity modulated radiation therapy (IMRT) plans for a lung patient were generated for anterior-posterior/posterior-anterior (AP/PA) beam arrangements at 6 and 18 MV energies to provide planned dose distributions. Respiratory motion data was obtained from 60 diaphragm-motion fluoroscopy recordings from five patients. A linear adaptive filter was employed to predict the tumor position. The geometric error of prediction was defined as the absolute difference between predicted and actual positions at each diaphragm position. Distributions of geometric error of prediction were obtained for all of the respiratory motion data. Planned dose distributions were then convolved with distributions for the geometric error of prediction to obtain convolved dose distributions. The dosimetric effect of such geometric errors was determined as a function of several variables: response time (0-0.6 s), beam energy (6/18 MV), treatment delivery (3D/4D), treatment type (conformal/IMRT), beam direction (AP/PA), and breathing training type (free breathing/audio instruction/visual feedback). Dose difference and distance-to-agreement analysis was employed to quantify results. Based on our data, the dosimetric impact of prediction (a) increased with response time, (b) was larger for 3D radiation therapy as compared with 4D radiation therapy, (c) was relatively insensitive to change in beam energy and beam direction, (d) was greater for IMRT distributions as compared with conformal distributions, (e) was smaller than the dosimetric impact of latency, and (f) was greatest for respiration motion with audio instructions, followed by visual feedback and free breathing. Geometric errors of prediction that occur during 4D radiation delivery introduce dosimetric errors that are dependent on several factors, such as response time, treatment-delivery type, and beam energy. Even for relatively small response times of 0.6 s into the future, dosimetric errors due to prediction could approach delivery errors when respiratory motion is not accounted for at all. To reduce the dosimetric impact, better predictive models and/or shorter response times are required.
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69
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Keall P, Wijesooriya K, Vedam S, George R, Todor D, Murphy M, Siebers J, Williamson J, Mohan R. A four-dimensional controller for DMLC-based tumor tracking. Int J Radiat Oncol Biol Phys 2004. [DOI: 10.1016/j.ijrobp.2004.07.163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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70
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Keall P, Joshi S, Tracton G, Kini V, Vedam S, Mohan R. 4-Dimensional radiotherapy planning. Int J Radiat Oncol Biol Phys 2003. [DOI: 10.1016/s0360-3016(03)01056-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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71
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Keall P, Vedam S, Kini V, Joshi S, Tracton G, Mohan R. 4D IMRT: planning methodology. Int J Radiat Oncol Biol Phys 2002. [DOI: 10.1016/s0360-3016(02)03609-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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72
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Vedam S, Kolodji Y. Guidelines for client selection in the home birth midwifery practice. JOURNAL OF NURSE-MIDWIFERY 1995; 40:508-21. [PMID: 8568575 DOI: 10.1016/0091-2182(95)00055-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Numerous studies have documented the safety of planned home birth; yet, few have identified specific criteria for selection of the home birth candidate. Home birth midwifery practice achieves successful outcomes by appropriate evaluation of medical and obstetric risk factors, as well as an ongoing evaluation and development of the client's psychosocial resources and the midwife-client relationship. Relevant medical and obstetric factors include significant medical illnesses, antenatal course, smoking history, commitment to breastfeeding, and the woman's nutritional profile. Social and environmental factors include the need for a stable birthing environment, practical means for hospital transfer, and the presence of loving support for the client during and after delivery. The client's psychological preparedness is a critical variable that may affect the ability to deliver in the home setting without analgesia or labor augmentation. Active participation in prenatal care, preparation of the home and family members, and a realistic attitude regarding the risks, benefits, and potential complications of planned home delivery are all components of this preparedness. Because midwifery practice promotes midwife-client rapport by careful attention to both medical and psychosocial issues during prenatal care, this relationship is itself an important predictor of the client's suitability for home birth. The quality of midwife-client interactions may influence not only the decision to plan a home birth but the indications for hospital transfer should problems arise. In this article, existing literature is reviewed and criteria are proposed for selecting home birth candidates within the American midwifery practice setting.
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73
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Golay J, Vedam S, Sorger L. The squatting position for the second stage of labor: effects on labor and on maternal and fetal well-being. Birth 1993; 20:73-8. [PMID: 8240610 DOI: 10.1111/j.1523-536x.1993.tb00420.x] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
A cohort study was designed to assess the effects of maternal squatting position for the second stage of labor on the evolution and progress of labor, and on maternal and fetal well-being. Outcomes from 200 squatting births, randomly selected from a sample of 1000, were compared with 100 semirecumbent births, randomly selected from a sample of 300. Data collection was by chart review. The two groups were similar with respect to most antepartal, intrapartal, and socioeconomic variables likely to affect labor outcomes. The mean length of the second stage of labor was 23 minutes shorter in squatting primiparas and 13 minutes shorter in squatting multiparas than in semirecumbent women. Squatting women required significantly less labor stimulation by oxytocin during second stage (P = 0.0016), and they showed a trend toward fewer mechanically assisted deliveries. Significantly fewer and less severe perineal lacerations occurred, and fewer episiotomies were performed in the squatting group (P = 0.0001). No statistically significant differences were found between groups for third-stage complications and infant complications.
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