Comparison of electronic apex locator and simultaneous working length detection methods with radiological method in terms of postoperative pain.
Precise knowledge of the apical construction, which determines the end of the area for canal preparation and filling, is essential for the success of root canal treatment and the management of postoperative pain. For this purpose, devices based on various methods that determine the working length (WL) are used. However, it is still controversial which method provides the most accurate measurements.
To investigate the compatibility of the electronic apex locator (EWL) and simultaneous working length determination (SWL) methods in single-root teeth in comparison with the radiographic working length determination (RWL) method and to determine which one produced more effective results in terms of postoperative pain.
One hundred patients scheduled for root canal treatment (RCT) were randomly assigned to one of the three groups according to the working length measurement method (EWL, SWL or RWL). After WL determination with assigned method, root canals were prepared and then obturated. Age, gender, simplified oral hygiene index (OHI-S), oral and dental examinations and Visual Analogue Scale (VAS) results of all participants were recorded. The incidence and intensity of postoperative pain were rated on a Visual Analogue Scale (VAS) by patients 6, 12, 24, 48 h and 7 days after RCT. The number of analgesic tablets (400 mg Ibuprofen) taken by patients was also recorded. Data were analyzed using the chi-square, One- way ANOVA and Kruskal-Wallis tests. Bland-Altman and Passing-Bablock regression analysis were used as method comparison techniques.
It was determined that the number of patients receiving analgesia and the total number of analgesia doses were higher in EWL and RWL groups compared to SWL group (p < 0.0001). When the WL values at which the treatment was applied were compared in the patient groups; WL values of EWL group were statistically lower than SWL group (p < 0.01). While there was no difference between the preoperative VAS scores of the groups (p = 0.7590), the postoperative 6th and 12th hour VAS scores of SWL group were lower than those of EWL and RWL groups (p = 0.005 and p = 0.0002, respectively). Again, the VAS scores of SWL group at the 24th and 48th postoperative hours were lower than those of RWL group (p < 0.05). According to the Bland-Altman and Passing-Bablock regression analysis results, although there was no statistically significant difference between the EWL and SWL methods (p = 0.471), the bias value of -0.1190 was well below the acceptable total error (0.1648). Additionally, a strong relationship was found between EWL and SWL methods (r = 0.9698, r2 = 0.9406, p < 0.001). Therefore, statistically these two methods were considered compatible with each other. It was determined that there was a statistically significant bias (0.340, p < 0.0001) between the RWL and SWL methods, exceeding the total error.
As a result, it was determined that the SWL method, which is used to determine working length for the success of endodontic treatment, can be used as an alternative to the EWL method thus producing more effective results in the management of postoperative pain. However, in addition to the method used, the technology of the device developed for this method should not be ignored.
Precise knowledge of the apical construction, which determines the end of the area for canal preparation and filling, is essential for the success of root canal treatment and the management of postoperative pain. For this purpose, devices based on various methods that determine the working length are used. However, it is still controversial which method provides the most accurate measurements. This study found that the simultaneous working length determination method can be used as an alternative to the electronic working length determination method and produces more effective results in the management of postoperative pain. Another important outcome of this study is that the Total Allowable Error (TEa) for the electronic apex locator method, which is accepted as the reference, has been calculated for the first time. Other methods have been evaluated according to this reference method. This is a first in literature.
Guzel E
，Uyan M
，Ersahan S
，Gundogar M
，Ozcelik F
... -
《BMC Oral Health》
Comparison of Two Modern Survival Prediction Tools, SORG-MLA and METSSS, in Patients With Symptomatic Long-bone Metastases Who Underwent Local Treatment With Surgery Followed by Radiotherapy and With Radiotherapy Alone.
Survival estimation for patients with symptomatic skeletal metastases ideally should be made before a type of local treatment has already been determined. Currently available survival prediction tools, however, were generated using data from patients treated either operatively or with local radiation alone, raising concerns about whether they would generalize well to all patients presenting for assessment. The Skeletal Oncology Research Group machine-learning algorithm (SORG-MLA), trained with institution-based data of surgically treated patients, and the Metastases location, Elderly, Tumor primary, Sex, Sickness/comorbidity, and Site of radiotherapy model (METSSS), trained with registry-based data of patients treated with radiotherapy alone, are two of the most recently developed survival prediction models, but they have not been tested on patients whose local treatment strategy is not yet decided.
(1) Which of these two survival prediction models performed better in a mixed cohort made up both of patients who received local treatment with surgery followed by radiotherapy and who had radiation alone for symptomatic bone metastases? (2) Which model performed better among patients whose local treatment consisted of only palliative radiotherapy? (3) Are laboratory values used by SORG-MLA, which are not included in METSSS, independently associated with survival after controlling for predictions made by METSSS?
Between 2010 and 2018, we provided local treatment for 2113 adult patients with skeletal metastases in the extremities at an urban tertiary referral academic medical center using one of two strategies: (1) surgery followed by postoperative radiotherapy or (2) palliative radiotherapy alone. Every patient's survivorship status was ascertained either by their medical records or the national death registry from the Taiwanese National Health Insurance Administration. After applying a priori designated exclusion criteria, 91% (1920) were analyzed here. Among them, 48% (920) of the patients were female, and the median (IQR) age was 62 years (53 to 70 years). Lung was the most common primary tumor site (41% [782]), and 59% (1128) of patients had other skeletal metastases in addition to the treated lesion(s). In general, the indications for surgery were the presence of a complete pathologic fracture or an impending pathologic fracture, defined as having a Mirels score of ≥ 9, in patients with an American Society of Anesthesiologists (ASA) classification of less than or equal to IV and who were considered fit for surgery. The indications for radiotherapy were relief of pain, local tumor control, prevention of skeletal-related events, and any combination of the above. In all, 84% (1610) of the patients received palliative radiotherapy alone as local treatment for the target lesion(s), and 16% (310) underwent surgery followed by postoperative radiotherapy. Neither METSSS nor SORG-MLA was used at the point of care to aid clinical decision-making during the treatment period. Survival was retrospectively estimated by these two models to test their potential for providing survival probabilities. We first compared SORG to METSSS in the entire population. Then, we repeated the comparison in patients who received local treatment with palliative radiation alone. We assessed model performance by area under the receiver operating characteristic curve (AUROC), calibration analysis, Brier score, and decision curve analysis (DCA). The AUROC measures discrimination, which is the ability to distinguish patients with the event of interest (such as death at a particular time point) from those without. AUROC typically ranges from 0.5 to 1.0, with 0.5 indicating random guessing and 1.0 a perfect prediction, and in general, an AUROC of ≥ 0.7 indicates adequate discrimination for clinical use. Calibration refers to the agreement between the predicted outcomes (in this case, survival probabilities) and the actual outcomes, with a perfect calibration curve having an intercept of 0 and a slope of 1. A positive intercept indicates that the actual survival is generally underestimated by the prediction model, and a negative intercept suggests the opposite (overestimation). When comparing models, an intercept closer to 0 typically indicates better calibration. Calibration can also be summarized as log(O:E), the logarithm scale of the ratio of observed (O) to expected (E) survivors. A log(O:E) > 0 signals an underestimation (the observed survival is greater than the predicted survival); and a log(O:E) < 0 indicates the opposite (the observed survival is lower than the predicted survival). A model with a log(O:E) closer to 0 is generally considered better calibrated. The Brier score is the mean squared difference between the model predictions and the observed outcomes, and it ranges from 0 (best prediction) to 1 (worst prediction). The Brier score captures both discrimination and calibration, and it is considered a measure of overall model performance. In Brier score analysis, the "null model" assigns a predicted probability equal to the prevalence of the outcome and represents a model that adds no new information. A prediction model should achieve a Brier score at least lower than the null-model Brier score to be considered as useful. The DCA was developed as a method to determine whether using a model to inform treatment decisions would do more good than harm. It plots the net benefit of making decisions based on the model's predictions across all possible risk thresholds (or cost-to-benefit ratios) in relation to the two default strategies of treating all or no patients. The care provider can decide on an acceptable risk threshold for the proposed treatment in an individual and assess the corresponding net benefit to determine whether consulting with the model is superior to adopting the default strategies. Finally, we examined whether laboratory data, which were not included in the METSSS model, would have been independently associated with survival after controlling for the METSSS model's predictions by using the multivariable logistic and Cox proportional hazards regression analyses.
Between the two models, only SORG-MLA achieved adequate discrimination (an AUROC of > 0.7) in the entire cohort (of patients treated operatively or with radiation alone) and in the subgroup of patients treated with palliative radiotherapy alone. SORG-MLA outperformed METSSS by a wide margin on discrimination, calibration, and Brier score analyses in not only the entire cohort but also the subgroup of patients whose local treatment consisted of radiotherapy alone. In both the entire cohort and the subgroup, DCA demonstrated that SORG-MLA provided more net benefit compared with the two default strategies (of treating all or no patients) and compared with METSSS when risk thresholds ranged from 0.2 to 0.9 at both 90 days and 1 year, indicating that using SORG-MLA as a decision-making aid was beneficial when a patient's individualized risk threshold for opting for treatment was 0.2 to 0.9. Higher albumin, lower alkaline phosphatase, lower calcium, higher hemoglobin, lower international normalized ratio, higher lymphocytes, lower neutrophils, lower neutrophil-to-lymphocyte ratio, lower platelet-to-lymphocyte ratio, higher sodium, and lower white blood cells were independently associated with better 1-year and overall survival after adjusting for the predictions made by METSSS.
Based on these discoveries, clinicians might choose to consult SORG-MLA instead of METSSS for survival estimation in patients with long-bone metastases presenting for evaluation of local treatment. Basing a treatment decision on the predictions of SORG-MLA could be beneficial when a patient's individualized risk threshold for opting to undergo a particular treatment strategy ranged from 0.2 to 0.9. Future studies might investigate relevant laboratory items when constructing or refining a survival estimation model because these data demonstrated prognostic value independent of the predictions of the METSSS model, and future studies might also seek to keep these models up to date using data from diverse, contemporary patients undergoing both modern operative and nonoperative treatments.
Level III, diagnostic study.
Lee CC
，Chen CW
，Yen HK
，Lin YP
，Lai CY
，Wang JL
，Groot OQ
，Janssen SJ
，Schwab JH
，Hsu FM
，Lin WH
... -
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ResearchGate
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钛学术
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