Evaluating ChatGPT-4's performance as a digital health advisor for otosclerosis surgery.

Purpose: This study aims to evaluate the effectiveness of ChatGPT-4, an artificial intelligence (AI) chatbot, in providing accurate and comprehensible information to patients regarding otosclerosis surgery. Methods: On October 20, 2023, 15 hypothetical questions were posed to ChatGPT-4 to simulate physician-patient interactions about otosclerosis surgery. Responses were evaluated by three independent ENT specialists using the DISCERN scoring system. The readability was evaluated using multiple indices: Flesch Reading Ease (FRE), Flesch-Kincaid Grade Level (FKGL), Gunning Fog Index (Gunning FOG), Simple Measure of Gobbledygook (SMOG), Coleman-Liau Index (CLI), and Automated Readability Index (ARI). Results: The responses from ChatGPT-4 received DISCERN scores ranging from poor to excellent, with an overall score of 50.7 ± 8.2. The readability analysis indicated that the texts were above the 6th-grade level, suggesting they may not be easily comprehensible to the average reader. There was a significant positive correlation between the referees' scores. Despite providing correct information in over 90% of the cases, the study highlights concerns regarding the potential for incomplete or misleading answers and the high readability level of the responses. Conclusion: While ChatGPT-4 shows potential in delivering health information accurately, its utility is limited by the level of readability of its responses. The study underscores the need for continuous improvement in AI systems to ensure the delivery of information that is both accurate and accessible to patients with varying levels of health literacy. Healthcare professionals should supervise the use of such technologies to enhance patient education and care.

Utilization of machine learning methods for prediction of acute and late rectal toxicity due to curative prostate radiotherapy.

OBJECTIVE: Rectal toxicity is one of the primary dose-limiting side effects of prostate cancer radiotherapy, and consequential impairment on quality of life in these patients with long survival is an important problem. In this study, we aimed to evaluate the possibility of predicting rectal toxicity with artificial intelligence model which was including certain dosimetric parameters. MATERIALS AND METHODS: One hundred and thirty-seven patients with a diagnosis of prostate cancer who received curative radiotherapy for prostate +/- pelvic lymphatics were included in the study. The association of the clinical data and dosimetric data between early and late rectal toxicity reported during follow-up was evaluated. The sample size was increased to 274 patients by synthetic data generation method. To determine suitable models, 15 models were studied with machine learning algorithms using Python 2.3, Pycaret library. Random forest classifier was used with to detect active variables. RESULTS: The area under the curve and accuracy were found to be 0.89-0.97 and 95%-99%, respectively, with machine learning algorithms. The sensitivity values for acute and toxicity were found to be 0.95 and 0.99, respectively. CONCLUSION: Early or late rectal toxicity can be predicted with a high probability via dosimetric and physical data and machine learning algorithms of patients who underwent prostate +/- pelvic radiotherapy. The fact that rectal toxicity can be predicted before treatment, which may result in limiting the dose and duration of treatment, makes us think that artificial intelligence can enter our daily practice in a short time in this sense.

Machine learning for predicting colon cancer recurrence.

INTRODUCTION: Colorectal cancer (CRC) is a global public health concern, ranking among the most commonly diagnosed malignancies worldwide. Despite advancements in treatment modalities, the specter of CRC recurrence remains a significant challenge, demanding innovative solutions for early detection and intervention. The integration of machine learning into oncology offers a promising avenue to address this issue, providing data-driven insights and personalized care. METHODS: This retrospective study analyzed data from 396 patients who underwent surgical procedures for colon cancer (CC) between 2010 and 2021. Machine learning algorithms were employed to predict CC recurrence, with a focus on demographic, clinicopathological, and laboratory characteristics. A range of evaluation metrics, including AUC (Area Under the Receiver Operating Characteristic), accuracy, recall, precision, and F1 scores, assessed the performance of machine learning algorithms. RESULTS: Significant risk factors for CC recurrence were identified, including sex, carcinoembryonic antigen (CEA) levels, tumor location, depth, lymphatic and venous invasion, and lymph node involvement. The CatBoost Classifier demonstrated exceptional performance, achieving an AUC of 0.92 and an accuracy of 88 % on the test dataset. Feature importance analysis highlighted the significance of CEA levels, albumin levels, N stage, weight, platelet count, height, neutrophil count, lymphocyte count, and gender in determining recurrence risk. DISCUSSION: The integration of machine learning into healthcare, exemplified by this study's findings, offers a pathway to personalized patient risk stratification and enhanced clinical decision-making. Early identification of individuals at risk of CC recurrence holds the potential for more effective therapeutic interventions and improved patient outcomes. CONCLUSION: Machine learning has the potential to revolutionize our approach to CC recurrence prediction, emphasizing the synergy between medical expertise and cutting-edge technology in the fight against cancer. This study represents a vital step toward precision medicine in CC management, showcasing the transformative power of data-driven insights in oncology.

More than 40 years of cochlear implant research: A bibliometric analysis.

OBJECTIVES: Cochlear implantation is the most effective treatment for patients with severe-to-profound sensorineural hearing loss. Much scientific work has been published since their inception. There is a need for a critical reflection on how and what we publish on cochlear implantation. METHODS: All Science Citation Index Expanded featured articles between 1980 and 2022 with the word 'cochlear implants' or 'cochlear implantation' were collected from the Web of Science database. Separate characteristics, such as the publication dates, the journals, the number of citations, the countries of origin, the authors, the institutions and co-occurring keywords, were assessed. RESULTS: 13,934 articles were included in the data analysis. The journals of of Otology and Neurotology, Ear and Hearing and of Pediatric Otorhinolaryngology represent the top three most publishing journals. Hannover Medical School, the University of Melbourne and the University of Northern Iowa represent the top three most publishing institutions. DISCUSSION: The amount of scientific publications on cochlear implant technology has increased for the last 40 years. Besides the focus on speech perception, the research landscape on cochlear implantation is broad and diverse. The number of countries and institutions contributing to these publications is limited. CONCLUSION: This bibliometric analysis serves as a quantitative overview of the research landscape on cochlear implantation.

Comprehensiveness of online sources for patient education on otosclerosis.

Purpose: This study aimed to assess the readability indices of websites including educational materials on otosclerosis. Methods: We performed a Google search on 19 April 2023 using the term "otosclerosis." The first 50 hits were collected and analyzed. The websites were categorized into two groups: websites for health professionals and general websites for patients. Readability indices were calculated using the website https://www.webfx.com/tools/read-able/. Results: A total of 33 websites were eligible and analyzed (20 health professional-oriented and 13 patient-oriented websites). When patient-oriented websites and health professional-oriented websites were individually analyzed, mean Flesch Reading Ease scores were found to be 52.16 ± 14.34 and 46.62 ± 10.07, respectively. There was no significant difference between the two groups upon statistical analysis. Conclusion: Current patient educational material available online related to otosclerosis is written beyond the recommended sixth-grade reading level. The quality of good websites is worthless to the patients if they cannot comprehend the text.

Effectiveness of Training: Airway Management of Tracheostomized Pediatric Patients by Pediatric Residents and Anesthesiology Residents.

To evaluate the effect of training on increasing baseline knowledge of pediatrics and anesthesia residents about airway management of pediatric patients with tracheostomy. It is a prospective, descriptive, before and after survey study. A questionnaire was conducted to measure the baseline knowledge of pediatrics and anesthesia residents about airway management in patients with pediatric tracheotomy. The same questionnaire was repeated after the education. Of the 63 participants, 42 were pediatric residents and 21 were anesthesiology residents. While the number of participants who answered the cuff part, inner cannula part, obturator part and balloon part of the tracheostomy tube correctly before the training was 27, 4, 10, and 12, respectively, these numbers increased to 53, 52, 57, and 55 after the training. There was a statistically significant improvement after the training in the correct response of the cuff, inner cannula, obturator, and balloon sections. A statistically significant improvement was observed in the answers received after the training for all 7 questions regarding the clinical scenario of accidental decannulation and tracheostomy bleeding compared to the pre-training. There was a statistical improvement in part where the participants rated themselves. In conclusion, training increases the ability of healthcare professionals to cope with life-threatening complications related to pediatric tracheotomy. A standardized education program on pediatric tracheostomy should be included in the routine programs of associated departments such as emergency medicine, anesthesia, and pediatrics residencies.

Comprehensiveness of online sources for patient education on hereditary hearing impairment.

Introduction: The present study aimed at investigating the readability of online sources on hereditary hearing impairment (HHI). Methods: In August 2022, the search terms "hereditary hearing impairment", "genetic deafness", hereditary hearing loss", and "sensorineural hearing loss of genetic origin" were entered into the Google search engine and educational materials were determined. The first 50 websites were determined for each search. The double hits were removed and websites with only graphics or tables were excluded. Websites were categorized into either a professional society, a clinical practice or a general health information website. The readability tests to evaluate the websites included: Flesch Reading Ease, Flesch-Kincaid grade level, Gunning-Fog Index, Simple Measure of Gobbledygook, Coleman-Liau Index, Automated Readability Index. Results: Twentynine websites were included and categorized as from 4 professional societies, 11 from clinical practices and 14 providing general information. All analyzed websites required higher reading levels than sixth grade. On average 12-16 years of education is required to read and understand the websites focused on HHI. Although general health information websites have better readability, the difference was not statistically significant. Discussion: The readability scores of every type of online educational materials on HHI are above the recommended level indicating that not all patients and parents can comprehend the information they seek for on these websites.

Evaluation of a Less Invasive Cochlear Implant Surgery in OPA1 Mutations Provoking Deafblindness.

Cochlear implantation (CI) for deafblindness may have more impact than for non-syndromic hearing loss. Deafblind patients have a double handicap in a society that is more and more empowered by fast communication. CI is a remedy for deafness, but requires revision surgery every 20 to 25 years, and thus placement should be minimally invasive. Furthermore, failed reimplantation surgery will have more impact on a deafblind person. In this context, we assessed the safety of minimally invasive robotically assisted cochlear implant surgery (RACIS) for the first time in a deafblind patient. Standard pure tone audiometry and speech audiometry were performed in a patient with deafblindness as part of this robotic-assisted CI study before and after surgery. This patient, with an optic atrophy 1 (OPA1) (OMIM#165500) mutation consented to RACIS for the second (contralateral) CI. The applicability and safety of RACIS were evaluated as well as her subjective opinion on her disability. RACIS was uneventful with successful surgical and auditory outcomes in this case of deafblindness due to the OPA1 mutation. RACIS appears to be a safe and beneficial intervention to increase communication skills in the cases of deafblindness due to an OPA1 mutation. The use of RACIS use should be widespread in deafblindness as it minimizes surgical trauma and possible failures.

Multiple Swaps Tested: Rehearsal for Triple and Five-Liver Paired Exchanges.

Despite several advances in living donor liver transplant (LDLT), many potential living liver donors cannot donate their organs to their relatives because of blood group incompatibility and unsuitable anatomy. Liver paired exchange (LPE) can be used to overcome incompatibilities between living donor-recipient pairs. In this study, we report the early and late results of 3 and 5 LDLTs performed simultaneously to initiate the more complex LPE program. By demonstrating that our center is capable of performing up to 5 LDLTs, we have taken an essential step for establishing a complex LPE program.

A Bibliometric Analysis of Publications on Tinnitus: A Study Based on Web of Science Data From 1980 to 2020.

BACKGROUND: The incidence of tinnitus has been increasing together with its patient impact and societal costs. Much research has been conducted in the field of tinnitus, especially on treatment modalities because there still is no cure. This study aims to analyze the evolutions and developments in the scientific output relating to tinnitus. METHODS: We analyzed the Science Citation Index Expanded featured articles in the Web of Science Core Collection relating to tinnitus from 1980 to 2020. The publications were analyzed by characteristics such as the countries and institutions, journals, the most cited articles and references, and the most frequently used words in the abstracts and keywords. RESULTS: In total, 8282 articles relating to tinnitus were identified in the Web of Science. The number of publications has been significantly increasing after the 1990s. Of the 8282 articles, a major part originated from the American and European institutions. Most articles originated from high-impact journals, which consequently also covered the most cited papers. A major interest was seen in areas about treatment and pathogenic mechanisms. CONCLUSION: This bibliometric analysis here indicated an increasing trend in tinnitus research from 1980 to 2020, particularly with the increase in tinnitus burden and the societal costs by it. Specific interest has been seen in the specific tinnitus pathophysiological mechanisms and treatment. Individual researchers and institutions will gain a new perspective on their future studies based on the bibliometric data in our paper.

Artificial intelligence for prediction of endometrial intraepithelial neoplasia and endometrial cancer risks in pre- and postmenopausal women.

BACKGROUND: The current approach to endometrial cancer screening requires that all patients be able to recognize symptoms, report them, and carry out appropriate interventions. The current approach to endometrial cancer screening could become a problem in the future, especially for Black women and women from minority groups, and could lead to disparities in receiving proper care. Moreover, there is a lack of literature on artificial intelligence in the prediction and diagnosis of endometrial intraepithelial neoplasia and endometrial cancer. OBJECTIVE: This study analyzed different artificial intelligence methods to help in clinical decision-making and the prediction of endometrial intraepithelial neoplasia and endometrial cancer risks in pre- and postmenopausal women. This study aimed to investigate whether artificial intelligence may help to overcome the challenges that statistical and diagnostic tests could not. STUDY DESIGN: This study included 564 patients. The features that were collected included age, menopause status, premenopausal abnormal bleeding and postmenopausal bleeding, obesity, hypertension, diabetes mellitus, smoking, endometrial thickness, and history of breast cancer. Endometrial sampling was performed on all women with postmenopausal bleeding and asymptomatic postmenopausal women with an endometrial thickness of at least 3 mm. Endometrial biopsy was performed on premenopausal women with abnormal uterine bleeding and asymptomatic premenopausal women with suspected endometrial lesions. Python was used to model machine learning algorithms. Random forest, logistic regression, multilayer perceptron, Catboost, Xgboost, and Naive Bayes methods were used for classification. The synthetic minority oversampling technique was used to correct the class imbalance in the training sets. In addition, tuning and boosting were used to increase the performance of the models with a 5-fold cross-validation approach using a training set. Accuracy, sensitivity, specificity, positive predictive value, and F1 score were calculated. RESULTS: The prevalence of endometrial or preuterine cancer was 7.9%. Data from 451 patients were randomly assigned to the training group, and data from another 113 patients were used for internal validation. Of note, 3 of 9 features were selected by the Boruta algorithm for use in the final modeling. Age, body mass index, and endometrial thickness were all associated with a high risk of developing precancerous and cancerous diseases, after fine-tuning for the multilayer computer to have the highest area below the receiver operating characteristic curve (area under the curve, 0.938) to predict a precancerous disease. The accuracy was 0.94 for predicting a precancerous disease. Precision, recall, and F1 scores for the test group were 0.71, 0.50, and 0.59, respectively. CONCLUSION: Our study found that artificial intelligence can be used to identify women at risk of endometrial intraepithelial neoplasia and endometrial cancer. The model is not contingent on menopausal status or symptoms. This may be an advantage over the traditional methodology because many women, especially Black women and women from minority groups, could not recognize them. We have proposed to include patients to provide age and body mass index, and measurement of endometrial thickness by either sonography or artificial intelligence may help improve healthcare for women in rural or minority communities.

The diagnostic value of magnetic resonance imaging-based texture analysis in differentiating enchondroma and chondrosarcoma.

OBJECTIVE: To assess the diagnostic performance of MRI-based texture analysis for differentiating enchondromas and chondrosarcomas, especially on fat-suppressed proton density (FS-PD) images. MATERIALS AND METHODS: The whole tumor volumes of 23 chondrosarcomas and 24 enchondromas were manually segmented on both FS-PD and T1-weighted images. A total of 861 radiomic features were extracted. SelectKBest was used to select the features. The data were randomly split into training (n = 36) and test (n = 10) for T1-weighted and training (n = 37) and test (n = 10) for FS-PD datasets. Fivefold cross-validation was performed. Fifteen machine learning models were created using the training set. The best models for T1-weighted, FS-PD, and T1-weighted + FS-PD images were selected in terms of accuracy and area under the curve (AUC). RESULTS: There were 7 men and 16 women in the chondrosarcoma group (mean ± standard deviation age, 45.65 ± 11.24) and 7 men and 17 women in the enchondroma group (mean ± standard deviation age, 46.17 ± 11.79). Naive Bayes was the best model for accuracy and AUC for T1-weighted images (AUC = 0.76, accuracy = 80%, recall = 80%, precision = 80%, F1 score = 80%). The best model for FS-PD images was the K neighbors classifier for accuracy and AUC (AUC = 1.00, accuracy = 80%, recall = 80%, precision = 100%, F1 score = 89%). The best model for T1-weighted + FS-PD images was logistic regression for accuracy and AUC (AUC = 0.84, accuracy = 80%, recall = 60%, precision = 100%, F1 score = 75%). CONCLUSION: MRI-based machine learning models have promising results in the discrimination of enchondroma and chondrosarcoma based on radiomic features obtained from both FS-PD and T1-weighted images.

Preliminary Report of the ministry of health working group on standardization of living donor liver transplantation in Turkiye.

Liver transplantation is successfully achieved all over the world and in Turkiye. Similar to many middle and far east countries, donation from deceased donors has not reached the desired level in Turkiye. Therefore, in Turkiye, living donors have been frequently used for liver transplantation. Although Turkiye is the leading country in Europe and one of the top three countries in the world executing LDLT, nationwide standardization of LDLT protocols, including donor and recipient evaluation and acceptance criteria, donor and recipient follow-up and reporting rules, and routine periodic audits by the ministry of health authorities, has not been established. Therefore, we created a working group to study reviewing regulations of LDLT operation in Europe and the USA. The establishment and implementation of standardization of LDLT operation will serve to improve the donor and recipient outcomes while preventing incomplete or incorrect practices. The guide prepared on this subject is presented in the Appendix.

Accurate interpretation of thyroid dysfunction during pregnancy: should we continue to use published guidelines instead of population-based gestation-specific reference intervals for the thyroid-stimulating hormone (TSH)?

BACKGROUND: Considering the changes in thyroid physiology associated with pregnancy and poor outcomes related to abnormal maternal thyroid function, international guidelines recommend using population-based trimester-specific reference intervals (RIs) for thyroid testing. If these RIs are not available in the laboratory, implementing recommended fixed cut-off values globally is still controversial. To address this issue, we aimed to establish appropriate RI of thyroid-stimulating hormone (TSH) in pregnant Turkish women for our laboratory and compare the prevalence of thyroid dysfunction based on the established and recommended criteria. METHODS: Of 2638 pregnant women, 1777 women followed in the obstetric outpatient were enrolled in the reference interval study after applying exclusion criteria related to medical and prenatal history. A retrospective study was conducted by collecting data from July 2016 to March 2019. Serum TSH was measured by UniCel DxI 800 Immunoassay System (Beckman Coulter Inc., Brea, CA, USA). The study design relied on two approaches in order to classify pregnant women: trimester-specific and subgroup-specific; the latter involved dividing each trimester into two subgroups: T1a, T1b, T2a, T2b, T3a, T3b. The lower and upper limits of the RIs were derived by the parametric method after normalizing the data distribution using the modified Box-Cox power transformation method. RESULTS: The lowest TSH value was detected at 8-12 weeks in early pregnancy, and the median value of TSH in the T1b subgroup was significantly lower than the T1a subgroup (P < 0.05). TSH levels showed a gradual trend of increase along with the pregnancy and increased significantly in the T2a, T2b, and T3b subgroups compared to the preceding subgroups (P < 0.05). Compared to the diagnostic criteria recommended by American Thyroid Association (ATA), the prevalence of thyroid dysfunction was significantly different from the established trimester- and subgroup-specific RIs throughout the pregnancy (P < 0.001). CONCLUSIONS: We conclude that establishing gestation- and laboratory-specific RIs, especially for TSH, is essential for diagnosing thyroid disorders in pregnancy, and the recommended universal cut-off values, which may contribute to the risk of a misdiagnosis or a missed diagnosis, should be taken with caution in the clinical setting. However, regarding the fluctuation of thyroid function tests throughout pregnancy, trimester-specific RIs are insufficient, and implementing split phases is required.

First Study in Men Evaluating a Surgical Robotic Tool Providing Autonomous Inner Ear Access for Cochlear Implantation.

Image-guided and robot-assisted surgeries have found their applications in skullbase surgery. Technological improvements in terms of accuracy also opened new opportunities for robotically-assisted cochlear implantation surgery (RACIS). The HEARO® robotic system is an otological next-generation surgical robot to assist the surgeon. It first provides software-defined spatial boundaries for orientation and reference information to anatomical structures during otological and neurosurgical procedures. Second, it executes a preplanned drill trajectory through the temporal bone. Here, we report how safe the HEARO procedure can provide an autonomous minimally invasive inner ear access and the efficiency of this access to subsequently insert the electrode array during cochlear implantation. In 22 out of 25 included patients, the surgeon was able to complete the HEARO® procedure. The dedicated planning software (OTOPLAN®) allowed the surgeon to reconstruct a three-dimensional representation of all the relevant anatomical structures, designate the target on the cochlea, i.e., the round window, and plan the safest trajectory to reach it. This trajectory accommodated the safety distance to the critical structures while minimizing the insertion angles. A minimal distance of 0.4 and 0.3 mm was planned to facial nerve and chorda tympani, respectively. Intraoperative cone-beam CT supported safe passage for the 22 HEARO® procedures. The intraoperative accuracy analysis reported the following mean errors: 0.182 mm to target, 0.117 mm to facial nerve, and 0.107 mm to chorda tympani. This study demonstrates that microsurgical robotic technology can be used in different anatomical variations, even including a case of inner ear anomalies, with the geometrically correct keyhole to access to the inner ear. Future perspectives in RACIS may focus on improving intraoperative imaging, automated segmentation and trajectory, robotic insertion with controlled speed, and haptic feedback. This study [Experimental Antwerp robotic research otological surgery (EAR2OS) and Antwerp Robotic cochlear implantation (25 refers to 25 cases) (ARCI25)] was registered at clinicalTrials.gov under identifier NCT03746613 and NCT04102215. Clinical Trial Registration: https://www.clinicaltrials.gov, Identifier: NCT04102215.

A rare case of the new entity of müllerian anomalies mimicking the noncommunicating rudimentary cavity with hemi-uterus: accessory cavitated uterine mass.

OBJECTIVE: To demonstrate the laparoscopic excision of an accessory cavitated uterine mass (ACUM) and show that atypical anomalies can lead to the misdiagnosis of a noncommunicating rudimentary horn. DESIGN: Description and step-by-step demonstration of the surgical procedure using a video recording (Canadian Task Force Classification 3). SETTING: University hospital. PATIENT(S): A 17-year-old virgin girl with chronic pelvic pain and severe progressive dysmenorrhea despite using nonsteroidal anti-inflammatory drugs and oral contraceptives since her menarche. We could not perform transvaginal examination and ultrasonography because of the virginity of the girl. Transabdominal ultrasound revealed a 24 × 24-mm heterogeneous cystic mass on the left adnexal region suggesting a noncommunicating functional rudimentary horn. This mass was within the left lateral uterine myometrial wall, and otherwise, the uterus and endometrial cavity seemed normal on ultrasonographic examination. Magnetic resonance imaging showed a cavitated nodule of 25 mm with hemorrhagic components inside the mass on the left side of the uterus and the normal endometrial cavity with a normal size uterus. After detailed evaluation and counseling, a decision was taken to perform laparoscopy. INTERVENTION(S): Laparoscopic resection of the ACUM. MAIN OUTCOME MEASURE(S): On laparoscopic exploration, we first observed a globular enlargement on the left wall of the uterus under the round ligament. Both the ovaries and the uterus were normal, and there were two normally developed fallopian tubes with no abnormality communicating with the normal uterus. The mass had irregular muscle fibers and ambiguous limits for detaching from the normal myometrial tissue. Afterward, the mass was resected completely without entering the endometrial cavity. It was thought that these irregular borders may be a factor of confusion as a degenerated myoma on the diagnosis. The blunt and sharp dissection methods were used bidirectionally, and finally, the lesion was enucleated. The mass was incised, and chocolate-like brownish fluid spilled out from the cavity of the mass. The endometrium-like epithelium and surrounding muscular layer were seen on the mass. The myometrial defect was approximated and closed with a polyglactin absorbable suture. Histopathological examination revealed the endometrial lining cavitated mass surrounded by myometrium, and thus, it was consistent with the diagnosis of ACUM. RESULT(S): The postoperative period of the patient was uneventful. She was discharged without any complaint. Her severe pelvic pain and symptoms of dysmenorrhea were resolved 1 month after the surgery. We did not prescribe any medication for menstrual suppression and pain management before or after surgery. During the follow-up period, she had a regular menstrual cycle and no pelvic pain and dysmenorrhea for 2 years. CONCLUSION(S): Accessory cavitated uterine mass is a new entity having a normal endometrial cavity and is different from other müllerian duct anomalies. Severe dysmenorrhea and chronic pelvic pain are early-onset, and they are persistent despite using medications, but suspecting this problem is the main determinant for confirming the diagnosis. The final diagnosis of ACUM can be made after resecting the mass and confirming with histopathological examination. Accessory cavitated uterine mass may be confused with a similar lesion of juvenile cystic adenomyosis (JCA). They present very similar clinical and pathological findings, but JCA is a rare form of focal adenomyosis that contains cystic contents inside the lesion, and it has more intense adenomyosis surrounding the endometrial lining of a cavitated mass. In our case, histopathological examination revealed muscle fibers around the endometrial epithelium, with no adenomyotic foci. It was so difficult to distinguish these two similar lesions during the surgery. Thus, we could distinguish ACUM from JCA with this pathological confirmation. Accessory cavitated uterine mass may also be misdiagnosed as U4a of ESHRE/ESGE classification and 2b of ASRM classification, but it should be distinguished from these anomalies. Moreover, it is important to define ACUM clearly in the U4 or U6 class of the ESHRE/ESGE and 2b of ASRM classification systems.

The level of anxiety in infertile women whose ART cycles are postponed due to the COVID-19 outbreak.

AIM: This study evaluated the level of fear and anxiety related to the COVID-19 outbreak, in infertile women whose ART cycles were delayed due to the pandemic. MATERIALS AND METHODS: An online survey was sent to women whose ART cycles were postponed due to the COVID-19 outbreak between April and May 2020. The study population were 101 participants. The main outcome measure is to determine the levels of fear and anxiety in infertile women by using the Spielberger State-Trait Anxiety Inventory (STAI-T and STAI-S) and Fear of COVID-19 scale (FCV-19S). The relationship of the COVID-19 outbreak with the willingness to go ahead with the desire for pregnancy was also assessed. RESULTS: The state-anxiety levels were significantly higher in women above 35 years (45.0 ± 5.2 vs. 42.2 ± 4.5, p = 0.006). Women with diminished ovarian reserve had a higher state-anxiety compared to other causes, but were not found to be significant (44.7 ± 5.2 vs. 42.5 ± 5.0, p = 0.173). Women who thought that the possibility of not being able to get pregnant was more important than being infected with the COVID-19 had higher anxiety levels than women who thought just the opposite. The diminished ovarian reserve and high duration of infertility were found to be significantly associated with higher anxiety levels (OR = 2.5, p < 0.05). The diminished ovarian reserve and previous ART failure significantly predicted the presence of clinical state-anxiety. CONCLUSION: The state-anxiety was found to be higher in women whose cycles were postponed due to the outbreak and the presence of diminished ovarian reserve also significantly affected anxiety levels. Further research is needed to assess whether COVID-19 will have any impact on ART treatments in the next few years.

The Most Frequently Cited References in the Articles Published in the Journal of Craniofacial Surgery Between 1995 and 2020.

ABSTRACT: The aim of this study is to examine the cited-references in the articles published in the Journal of Craniofacial Surgery between 1995 and 2020. On February 20, 2021, all articles published before January 1, 2021, in the Journal of Craniofacial Surgery were listed using advanced search in the Web of Science database. The journal's ISSN and e-ISSN numbers were used to perform this search. All information about these articles has been marked and exported to Tab-delimited (Win) format. It was then analyzed with the VOSviewer software. In the Web of Science database, it was investigated that a total of 11,888 articles were published in the Journal of Craniofacial Surgery between 1995 and 2020. A total of 137,829 different cited-references were used in these 11,888 articles. The top 15 most cited-references were identified. It was found that the first 3 most cited journals were Plastic and Reconstructive Surgery (n: 21,700; 15.74%), Journal of Craniofacial Surgery (n: 12,199; 8.85%), and Journal of Oral and Maxillofacial Surgery (n: 9383, 6.81%), respectively. As far as we know, the present study is the first study to analyze the cited-references in the field of craniofacial surgery. The authors think that the publications determined in this study are fundamental building blocks for both the field of craniofacial surgery and the Journal of Craniofacial Surgery.

Endoscopic Endonasal Removal of Stray Bullets in the Fossa Pterygopalatine in Innocent Young Bystanders of Conflicts in Somalia in a Period of Six Months.

ABSTRACT: In Somalia, which is located in the horn of Africa, a fragile and insecure state structure allowed the strengthening of terrorist groups provoking armed conflicts. Stray bullet injuries can be defined as an accidental bullet wound caused by an anonymous attacker and are usually associated with celebratory gunfire or urban violence. The anatomy of the pterygopalatine fossa (PPF) is complex and penetrating foreign body injuries pose even a greater challenge for the surgeon to operate in this area. Endoscopic approaches facilitate the removal of foreign bodies from the paranasal sinuses, orbital cavity, and aerodigestive system, minimizing potential risks. This study presents a series of removal of stray bullets found in the PPF, as a result of urban violence in Somalia in a period of 6 months. Patient demographics, foreign body origin, treatment modalities, and surgery details were evaluated and assessed. All patients were male and aged 16, 2, and 24 years, respectively. The surgeries were quite straightforward with surgery times recorded as 25, 44, and 22 minutes, respectively. The endoscopic endonasal approach proved to provide safe and sufficient access for removal. Surprisingly, even the foreign body in the PPF of a 2-year-old patient could be removed with an endoscopic endonasal approach and did not require an external approach. The management of foreign body removal in the PPF is challenging due to the potential risks of iatrogenic vascular and nervous tissue injury. The endoscopic endonasal approach for removal proved efficient in 3 cases regardless of age and anatomical dimensions.