Benign Cases Research Articles

Epidemiology and classification for canine and feline mammary gland tumors: a histopathological survey of 437 mammary gland tumor biopsies performed in a secondary care hospital in Chiang Mai, Thailand from 2012 to 2019.

Metastatic disease resulting from mammary gland tumors (MGTs) is a known cause of death among dogs and cats. Keys to successful prevention and management strategies involve the accurate recording of diagnostic data. This retrospective study reviewed the epidemiology and classification of canine mammary gland tumors (CMTs) and feline mammary gland tumors (FMTs), as well as the factors including sex, age, and breed related to the occurrence of these tumors. Accordingly, 1,736 tumor biopsy cases were reported from 2012 to 2019 at Chiang Mai University Small Animal Hospital, Thailand, with 1,639 canine tumor biopsy cases and 97 feline tumor biopsy cases. The proportion of CMTs was reported at 24.5% (401/1,639) for all canine tumor biopsy cases. Benign and malignant tumors were reported at 14.5% (58/401) and 85.5% (343/401) for all CMT cases, respectively. The mean age of dogs affected by benign CMTs was 9.0±3.0 years, which was significantly lower than for malignant CMTs at 9.9±2.8 years (P=0.0239). According to histopathological classification, benign mixed tumors and simple carcinoma types were highest among benign and malignant CMT cases, respectively. Moreover, female dogs were at significantly higher risk of developing mammary gland tumors (OR = 45.8, 95% CI [3.9-86.0], P<0.0001) than male dogs, as well as older dogs (>8 years) (OR = 1.7, 95% CI [1.2-2.2], P=0.0001) compared to young ones (≤8 years). The proportion of FMTs was 37.1% (36/97) for all feline tumor biopsy cases. Benign and malignant tumors for all FMTs were reported at 16.7% (6/36) and 83.3% (30/36), respectively. According to histopathological classifications, adenoma and simple carcinoma were present in the highest proportion among benign and malignant FMTs, respectively. Female cats were at a significantly higher risk of developing mammary gland tumors than male cats (OR=25.7, 95% CI [3.9-272.8], P<0.0001). There was a high proportion of MGT cases compared with other tumor cases reported in a secondary care hospital in Chiang Mai, Thailand from 2012 to 2019, and malignant tumor biopsies have been more frequently observed than benign tumor biopsies in both CMT and FMT cases. The resulting data originating from this study can be an aid for veterinary oncologists in better educating clients and planning treatment and prevention strategies and it can be used as a basis for further experimental studies in the oncology section.

Clinicopathological Analysis of Postmenopausal Bleeding and Endometrium

Highlights: 1. Malignancies in postmenopausal bleeding are not very common, yet it is necessary to evaluate the etiology and implement appropriate treatment strategies.2. The findings of this study highlight the need for early detection of benign, premalignant, or malignant cases to provide more effective management, prevent the development of cancer, and improve the prognosis of the condition. Abstract Bleeding from the genital organ after a year of menopause is called postmenopausal bleeding. The causes may be either benign or malignant, originating from genital (uterine or extrauterine) and extragenital sites. About 3% of postmenopausal women suffer from uterine cancer. This present study aimed to analyze the clinical significance of postmenopausal bleeding concerning the source, associated risk factors, and various endometrial pathologies, including malignant and premalignant conditions. This retrospective study was conducted over four years and featured postmenopausal bleeding patients who met the inclusion criteria. Different causes of bleeding were noted and managed. Data collection on the history, clinical examination, blood test, and endometrial biopsy was performed on women with endometrial bleeding. The collected data were analyzed using standard descriptive statistics and presented using frequency tables. A total of 88 women were admitted, of whom 73 (82.95%) had endometrial bleeding and 15 (17.05%) experienced bleeding from other sites. The endometrial bleeding group mostly consisted of women aged &gt;50–60 years (45.20%). Hypertension (26.03%), diabetes (21.91%), obesity (43.83%), and nulliparous (5.48%) were the risk factors present among the patients. The majority of the patients (41.10%) were within five years of menopause. The transvaginal ultrasound findings indicated that 56.16% of the women had an endometrial thickness of &gt;10 mm, while 9.59% had an endometrial thickness of ≤4 mm. Upon histological investigation, endometrial hyperplasia (34.24%), atrophy (38.36%), and cancer (4.11%) were detected. Furthermore, a prevalence of 16.44% was identified as proliferative endometrium, whereas polyps were found in 6.84% of cases. In conclusion, postmenopausal bleeding is mostly benign, but it may raise concerns about the possibility of malignancy, which can be distressing for women. Disregarding the amount and frequency, postmenopausal bleeding requires a thorough evaluation, primarily because adequate management can prevent the progression of many premalignant cases to be endometrial cancer.

Exploration of Preliminary Objective Triage by Menopause Score and CA 125 Result Prior to Accelerating Fast-Track Booking for Suspected Ovarian Cancer-A Role for the Pathway Navigator?

The 28-days-to-diagnosis pathway is the current expected standard of care for women with symptoms of ovarian cancer in the UK. However, the anticipated conversion rate of symptoms to cancer is only 3%, and use of the pathway is increasing. A rapid triage at the moment of receipt of the referral might allow resources to be allocated more appropriately. In secondary care, multidisciplinary teams (MDTs) use the risk of malignancy index (RMI) score, (multiply menopausal status pre = 1 or post = 3 × ultrasound score = 0 - 3 × the CA 125 level), using a score of >200, to triage urgency and management in possible ovarian cancer cases. The most powerful determinant of the RMI score variables is CA 125 level, an objective number. Could a simple modification of the RMI score retain a high sensitivity for cancer whilst improving specificity and, consequently, decrease the morbidity of false-positive classification? To test this hypothesis, a retrospective evaluation of an ovarian two-week-wait telephone clinic of one consultant gynaecological oncologist was undertaken. Enquiry re menopause status was scored as one for pre- and three for postmenopausal or uncertain. CA 125 levels of >67 u/mL for premenopausal and >23 u/mL for postmenopausal women were used to precipitate urgent cross-sectional imaging requests and MDT opinions. These CA 125 cut thresholds were calculated using an assumption that the RMI imaging score, regardless of whether the result was available, could be three. We contemplate that women who did not exceed a provisional RMI score of >200 might be informed they are extremely unlikely to have cancer, removed from the malignancy tracker and appropriate follow-up arranged. One hundred and forty consecutive cases were analysed; 43% were deemed premenopausal and 57% postmenopausal. Twenty of the women had cancer, eighteen (90%) of whom had an RMI > 200. One hundred and twenty were benign, and only twenty-three (19%) classified as urgent cases in need of accelerated referral to imaging. In contrast, CA 125 > 35 u/mL, whilst retaining the sensitivity of 90%, misclassified 36 (30%) of the benign cases. It is possible that a telephone triage via a questionnaire determining menopausal status and the CA 125 result could offer a sensitivity for cancer of 90% and urgent expert review of under 20% of benign cases. This rapid initial telephone assessment could be presented by a trained pathway navigator, physician associate or nurse specialist. Substantial savings in NHS cancer services resources, anxieties all around and reduced patient morbidity may occur as a result.

Evaluating the comprehensive diagnosis efficiency of lung cancer, including measurement of SHOX2 and RASSF1A gene methylation

Methylation of the promoters of SHOX2 and RASSF1A (LungMe®) exhibits promise as a potential molecular biomarker for diagnosing lung cancer. This study sought to assess the aberrant methylation of SHOX2 and RASSF1A in broncho-exfoliated cells (BEC) and compare it with conventional cytology, histology examination, immunohistochemistry, and serum tumor markers to evaluate the overall diagnostic efficiency for lung cancer. This study recruited 240 patients, including 185 malignant cases and 55 benign cases. In our observation, we noted a slight reduction in the detection sensitivity, however, the ΔCt method exhibited a significant enhancement in specificity when compared to Ct judgment. Consequently, the ΔCt method proves to be a more appropriate approach for interpreting methylation results. The diagnostic sensitivity of cytology and histology was in ranged from 20.0%-35.1% and 42.9%-80%, respectively, while the positive detection rate of LungMe® methylation ranged from 70.0% to 100%. Additionally, our findings indicate a higher prevalence of SHOX2( +) among patients exhibiting medium and high expression of Ki67 (P < 0.01), as opposed to those with low expression of Ki67, but RASSF1A methylation did not show this phenomenon (P = 0.35). Furthermore, CEA, SCCA, and CYFRA21-1 showed positive detection rates of 48.8%, 26.2%, and 55.8%, respectively. Finally, we present a comprehensive lung cancer diagnostic work-up, including LumgMe® methylation. The combined analysis of SHOX2 and RASSF1A methylation serves as a powerful complement and extension to conventional methods, enhancing the accuracy of a lung cancer diagnosis with satisfactory sensitivity and specificity.

Prediction and Diagnosis of Breast Cancer Using Machine and Modern Deep Learning Models.

This research compares traditional machine learning classification methods to innovative techniques that use deep learning models. Established usual classification models such as k-Nearest Neighbors (kNN), Gradient Boosting, Support Vector Machine (SVM), Neural Network, CN2 rule inducer, Naive Bayes, Stochastic Gradient Descent (SGD), and Tree, and deep learning models such as Neural Decision Forest and Multilayer Perceptron used. The investigation, which was carried out using the Orange and Python tools, evaluates their diagnostic effectiveness in breast cancer detection. The evaluation uses UCI's publicly accessible Wisconsin Diagnostic Data Set, enabling transparency and accessibility in the study approach. The mean radius ranges from 6.981 to 28.110, while the mean texture runs from 9.71 to 39.28 in malignant and benign cases. Gradient boosting and CN2 rule inducer classifiers outperform SVM in accuracy and sensitivity, whereas SVM has the lowest accuracy and sensitivity at 88%. The CN2 rule inducer classifier achieves the greatest ROC curve score for benign and malignant breast cancer datasets, with an AUC score of 0.98%. MLP displays distinguish positive and negative classes, with a higher AUC-ROC of 0.9959. with accuracy of 96.49%, precision of 96.57%, recall of 96.49%, and an F1-Score of 96.50%. Among the most commonly used classifier models, CN2 rule and GB performed better than other models. However, MLP from deep learning produced the greatest overall performance.

Benign Breast Disease among Patients Visiting the Breast and Endocrine Clinic of a Tertiary Care Centre.

Breast diseases encompass a wide range of conditions, including benign and malignant disorders. Given the significant burden of breast-related health issues in the community, there is a critical need to understand the prevalence. This study aimed to find the prevalence of benign breast diseases among patients visiting the breast and endocrine clinic of a tertiary care centre. A descriptive cross-sectional study was conducted among patients presenting to the breast and endocrine clinic from 1 January 2022 to 1 January 2023 after obtaining ethical approval from the Institutional Review Committee. A convenience sampling method was used. The point estimate was calculated at a 95% Confidence Interval. Among 979 patients, the prevalence of benign disease was 937 (95.71%) (94.44-96.98, 95% Confidence Interval). Mastalgia was the most frequent diagnosis 416 (44.40%), followed by fibroadenoma 137 (14.62%), benign lumps 84 (8.96%), and mastitis 64 (6.83%) and the most common symptoms reported by benign cases were pain in the breast 692 (73.85%) and breast lump 483 (51.55%). The prevalence of benign breast diseases was found to be similar to other studies done in similar settings. benign; breast diseases; mastalgia; prevalence.

Can ultrasound shear wave elastography differentiate between malignant and benign pleural effusions?

BackgroundMalignant pleural effusion is a common and unfortunately serious condition that is related to life poor quality and mortality. The majority of malignant pleural effusion is metastatic in nature, with the most encountered primary neoplasm in men is the lung cancer while in women is the breast cancer. Ultrasound elastography, with its ability of evaluating tissue stiffness, has been used to differentiate malignant from benign diseases. Shear wave elastography (SWE) has been explored in several organs, like the liver, breast, thyroid, lymph nodes and prostate, with the pleura can now be included among the growing list of SWE applications. Shear wave elastography may help in the differentiation of transudative and exudative types of pleural effusions.ResultsIn this study, a total of 36 patients were included, 50% revealed malignant pleural effusions (10/18 mesothelioma) and (8/18 metastatic), while the 50% revealed benign pleural effusions (9/18 transudates) and (9/18 exudates). By using sensitivity analysis test of the SWE values with V1 represents the minimum value, V2 the maximum value to calculate the cutoff values that will be used in our final diagnosis in order to differentiate benign and malignant cases. V1 shear wave elastography can significantly predict the malignant pleural effusion with p value 0.001 using a cutoff 48 kPa with calculated sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were as follows 94.4%, 88.9%, 89.5% & 94.4% respectively with diagnostic accuracy of 92%. SWE maximum value (V2) can significantly predict the malignant pleural effusion with p value 0.001 using a cutoff 54.2 kPa, with calculated sensitivity, specificity, PPV and NPV were as follows 94.4%, 94.4%, 94.4% and 94.4% respectively with diagnostic accuracy 94.4%. So, through comparing both cutoff values, we concluded that the cutoff value 2 is better with greater specificity, PPV and NPV in relation to the final diagnosis.ConclusionsCombination of both conventional transthoracic ultrasound and SWE quantitative and qualitative abilities in assessment of both pleural and parenchymal lesions can result in high diagnostic accuracy. Shear wave elastography alone is a sensitive, specific, useful, cost-effective, widely available and noninvasive tool for assessment of tissue stiffness and in matters of high sensitivity. 54.2 kPa can be used as the cutoff value to distinguish MPE from benign pleural disease.

Artificial Intelligence in Dermoscopy: Enhancing Diagnosis to Distinguish Benign and Malignant Skin Lesions.

This study presents an innovative application of artificial intelligence (AI) in distinguishing dermoscopy images depicting individuals with benign and malignant skin lesions. Leveraging the collaborative capabilities of Google's platform, the developed model exhibits remarkable efficiency in achieving accurate diagnoses. The model underwent training for a mere one hour and 33 minutes, utilizing Google's servers to render the process both cost-free and carbon-neutral. Utilizing a dataset representative of both benign and malignant cases, the AI model demonstrated commendable performance metrics. Notably, the model achieved an overall accuracy, precision, recall (sensitivity), specificity, and F1 score of 92%. These metrics underscore the model's proficiency in distinguishing between benign and malignant skin lesions. The use of Google's Collaboration platform not only expedited the training process but also exemplified a cost-effective and environmentally sustainable approach. While these findings highlight the potential of AI in dermatopathology, it is crucial to recognize the inherent limitations, including dataset representativity and variations in real-world clinical scenarios. This study contributes to the evolving landscape of AI applications in dermatologic diagnostics, showcasing a promising tool for accurate lesion classification. Further research and validation studies are recommended to enhance the model's robustness and facilitate its integration into clinical practice.

Validity of ultrasound with color Doppler to differentiate between benign and malignant ovarian tumours.

To assess the utility of ultrasound and color Doppler and the Accuracy of International Ovarian Tumor Analysis (IOTA) group classification in the preoperative evaluation of ovarian neoplasms to assess benign or malignant histopathology in the diagnosis of ovarian tumors. This observational longitudinal prospective analysis of 60 patients was performed over a period of 2 years (2017- 2019). The mean age of the patients was 43.75 years. Ultrasonography of ovarian masses were evaluated, and cancer antigen-125 (CA-125) levels were evaluated. Based on the IOTA classification, the B and M features of adnexal masses were studied. Color Doppler imaging was performed to evaluate the patterns of vascularity and indices. Sixty patients with 35 benign, 23 malignant, and two borderline lesions were included in the study. In malignant lesions, 17 women (73.9%) were above the age of 45. The CA-125 cut off was ≥35 internatioal units/mL. Based on the IOTA classification, 27/35 (77.1%) benign cases, were correctly identified as benign, 6/35 (17.1%) benign cases were incorrectly identified as malignant, and two (5.7%) were found to be inconclusive. In the malignant group, 17 of the 23 patients were identified as having malignancy. Color Doppler showed three (18.8%) benign tumors had a pulsatality index (PI) of <0.8 and 21 malignant tumors had a PI of <0.8. Four benign tumors had an resistive index (RI) of <0.6 and 100% of malignant tumors had an RI <0.6. The IOTA classification is a reliable scoring system for adnexal masses, and color Doppler can help to minimize interobserver variation.

Eyelid Tumors at Razi and Farabi Hospitals, Tehran, Iran

Background: Eyelid tumors are common in the daily practice of skin tumors and are composed of benign and malignant lesions. Methods: This retrospective case series study collected histopathologic reports of eyelid tumors of patients treated between 2022 and 2023 in Razi and Farabi hospitals (Tehran, Iran). Patient data, including patient age, sex, location of the lesion, and recurrence, were collected. Descriptive and inferential statistics were used to characterize the subgroups. Results: The sample was composed of 154 eyelid tumor specimens, including 72 (47%) malignant cases, 80 (52%) benign cases, and 2 (1%) premalignant cases. Malignant tumors included 81.9% basal cell carcinomas (BCC), 15.3% basosquamous cell carcinomas (BSC), and 1.4% squamous cell carcinoma (SCC). The benign eyelid lesions were comprised of 20% intradermal melanocytic nevus, 11.3% epidermal cyst, 7.6% dermoid cyst, 10% seborrheic keratosis, 6.3% xanthelasma, 2.5% wart, 3.8% compound nevus, 5% fibroconnective tissue, 3.8% squamous papilloma, 3.8% neurofibroma, 2.5% comedone,2.5% apocrine hidrocystoma, 2.5% foreign body type granuloma, and 1.3% of others (arteriovenous hemangioma, cavernous hemangioma, cutaneous horn, etc.) The premalignant lesions were 2 cases of actinic keratosis. Benign lesions had an equal frequency of occurrence in the upper and lower lids. Malignant lesions were seen more in the lower lid. Premalignant lesions were seen in the lower lid. The mean age at diagnosis was 45.8 ± 23.06 years for patients with benign lesions and 63.5 ± 16.7 years for patients with malignant lesions. The mean age for patients with premalignant lesions was 81.5 ± 9.19 years (P &lt; 0.001). Conclusions: In our study, benign lesions were seen predominantly in young persons and malignant lesions were mostly seen in elderly persons. There is an equal occurrence of malignant lesions in males and females, and recurrence after excision was infrequent.

Detection of Brain Tumour Via Reversing Hexagonal Feature Pattern for Classifying Double-Modal Brain Images

The diagnosis of brain tumours (BT) is time-consuming and heavily dependent on the radiologists' abilities. Multiple algorithms have been developed for detecting and classifying BT that are both accurate and fast. Recent years have seen an increase in the popularity of deep learning, especially when it comes to developing automated systems that can diagnose and segment BT more accurately and with less time. In this paper, a novel Brain Hexagonal Pattern Network (BHPN) has been proposed to classify the MEG and PET images into normal, benign and malignant tumours. For pre-processing, a bilateral filter is employed to remove noise artifacts from the collected MEG and PET images. To remove the outer cortical and skull region, skull stripping is used, to be implemented to raise the volume of the training datasets. The pre-processed images are segmented using the Otsu threshold algorithm to segment the BT. These segmented tumours are taken as input to the Reversing Hexagonal algorithm to generate the hexagonal feature sets with and without a segmentation mask. In order to categorize tumours into normal, benign and malignant cases, a Spiking Dilated Convolutional Neural Network (SDCNN) classifier system is implemented. The classification accuracy of the Proposed BHPN approach is 99.54%. The Proposed BHPN approach improves the overall accuracy by 1.49%, 2.52%, and 3.93% better than hybrid deep autoencoder (DAE) and Bayesian Fuzzy Clustering (BFC), Deep CNN, and Neutrosophy and Convolutional Neural Network (NS-CNN) respectively.

Diagnostic value of colour Doppler ultrasound in differentiating malignant and benign nodules in thyroiditis background.

Differentiating malignant thyroid nodules from benign ones is challenging. Sonography is a non-invasive modality that can be helpful in this regard and is far better than invasive methods like fine needle aspiration (FNA). This study aimed to assess the diagnostic value of colour Doppler ultrasonography in distinguishing malignant and benign nodules of thyroid gland. The study involved patients with thyroiditis and thyroid nodules, who underwent sonography. Ultrasound findings were assessed. All the nodules were classified according to the FNA into malignant, follicular nodules and lymphatic. Then, sonography findings were compared between these three groups. There were 216 nodules, including 108 (50%) malignant nodules, 80 (37%) benign and 28 (13%) lymphatic follicles, were evaluated. Micro-calcification was present in 50 (46.3%) malignant cases, 11 (13.7%) benign cases and 2 (2.1%) lymphatic follicles. Decreased or mixed vascularity was reported in 43 (69%) malignant nodules, 4 (5%) benign cases and 7 (25%) lymphatic follicles. Also, 9.7% and 42% of malignant and benign nodules had peripheral circular vascularity, respectively; however, none of the lymphatic follicles had this finding. With 89% specificity, 49% sensitivity and 73.5% accuracy, calcification with or without decreased or mixed vascularity could differentiate benign and malignant nodules. Decreased or mixed vascularity with or without calcification shows high sensitivity in differentiating malignant and benign nodules.

Thyroid nodule diagnosis: A comparative analysis of ultrasonography and fine-needle aspiration cytology

Objectives: This paper aimed to investigate the association between Ultrasonography (USG) results and fine-needle aspiration cytology (FNAC) in the diagnosis of thyroid nodules (TNs) in private and public hospitals in Yemen. In addition, it aimed to determine the sensitivity, specificity of USG and FNAC in diagnosing thyroid nodules (TNs). Materials and Methods: The study utilized a retrospective comparative study design, analyzing medical records of patients diagnosed with TNs between June 01, 2022 and May 01, 2023, in four private and public hospitals in Yemen. USG and FNAC reports, along with demographic data were collected. The author categorized the USG findings based on the American Thyroid Association guidelines, while FNAC results were classified according to the Bethesda reporting system for thyroid cytopathology. Results: The study included 94 diverse participants with TNs. The average age was 39.96 years, with a majority of female participants (85.1%). The distribution of nodules revealed varying consistencies, sizes, and shapes. The association between USG and FNAC diagnoses showed a significant relationship (χ2 = 34.914, P &lt; 0.001), with a high proportion of benign cases in both USG and FNAC results. Validity analysis demonstrated a sensitivity of 88.68% and a specificity of 70.73% for USG in diagnosing thyroid carcinoma. The positive predictive value was 79.66%, and the negative predictive value was 82.86%. The overall accuracy of USG compared to FNAC was 80.85%. Conclusion: This study shows USG’s potential as a diagnostic tool for TNs in Yemen. Insights improve understanding of TN diagnosis in Yemen’s healthcare settings.

Ovarian Germ Cell Tumors in North-Western India: A Comprehensive 3-Year Retrospective Study of 145 Cases at a Tertiary Cancer Hospital.

Germ cell tumors encompass a broad spectrum of neoplasms arising from germ cell lineage, demonstrating varying histological profiles and clinical presentations. These tumors encompass a range of benign and malignant entities. While global trends provide insights into their prevalence, specific regional variations, such as those within North-Western India, remain less explored. This study seeks to bridge this knowledge gap by examining the prevalence and characteristics of germ cell tumors within a tertiary cancer hospital. In this retrospective analysis, all cases of germ cell tumors diagnosed over a 3-year period in the specified tertiary cancer hospital were included. Cases with incomplete records or inadequate pathological data were excluded. Data encompassing histological subtypes, patient age distribution, clinical presentations, and histopathological features were collected and analyzed. The study comprised 145 cases of germ cell tumors. Teratomas were the most prevalent subtype, with mature teratomas accounting for the majority. The highest incidence occurred within the 21-30-year age group with a mean age of 24.77years. Abdominal mass (56%) and abdominal pain (34%) were the prominent clinical presentations. Benign cases constituted the majority 85.5%. Solid tumors (p < 0.00001) and tumors more than 10cm (p .029028) were found to have a high propensity to be malignant, which was proven to be statistically significant. This study comprehensively explains germ cell tumors' prevalence, clinical features, and histopathological subtypes in a tertiary cancer hospital in North-Western India. The predominance of teratomas, particularly mature ones, aligns with global trends. The age distribution and clinical presentations reflect common patterns. The diverse histopathological appearances underscore the heterogeneous nature of germ cell tumors. This study offers valuable insights for clinical management and further regional research.

Skin in the game: The cost consequences of skin cancer diagnosis, treatment and care in Northern Ireland

BackgroundSkin cancer is a prevalent cancer in the UK. Its rising incidence and mortality rates are expected to result in substantial financial implications, particularly on diagnostic and treatment services for skin cancer management in Northern Ireland (NI). Such anticipated disease increases underscore the need for prevention and control measures that should help guide policymaking and planning efforts. MethodsWe conducted a cost of illness study to assess the economic impact of skin cancer in NI from the healthcare system's perspective, using a bottom-up method, employing NHS reference costs (UK£) for skin cancer diagnosis and treatment patient pathways in 2021/22. Sensitivity analyses varied diagnostic volumes by applying multipliers for benign cases, assuming a diagnostic conversion rate of 6.8%, and examined an alternative chemotherapy regimen compliance rate of 75%. Additionally, proportional cost increases were projected based on future estimated increases of 9% and 28% to malignant melanoma (MM) cases for diagnostic, treatment, and follow-up volumes. ResultsSignificant numbers of non-melanoma skin cancers (NMSC) and MM cases were recorded, 4289 NMSCs and 439 MM cases. The total cost for managing NMSC was £ 3,365,350. Total costs for MM skin cancer were £ 13,740,681, including £ 8,753,494 for procurement, administration, and chemotherapy drug use. Overall healthcare spending on skin cancer care totalled £ 21,167,651. Sensitivity analysis suggested diagnostic cost may increase significantly to £ 12,374,478 based on referral volume assumptions. If base case rates rise by 9 or 28% estimated total costs of treating skin cancer will increase to £ 22.3 million and £ 24.9 million, respectively. ConclusionsSkin cancer management costs in NI totalled ∼£ 21.1 million to £ 32.1 million, depending on diagnostic referral assumptions. Costs have risen ∼10-fold over the past decade for MM due largely to chemotherapy costs. A predicted 28% increase in MM cases by 2040 would lead to ∼£ 3.8 million of additional expenditures, providing a significant challenge for cancer health systems.

Correlation of serum thyroid stimulating hormone level to predict benign or malignant nature of thyroid swelling

Background: Thyroid enlargement is a common clinical problem encountered in ENT practice, thyroid cancer, by contrast is less common. Several imaging modalities, FNAB and biomarkers are available but a simple clinical or biochemical diagnostic criterion is still lacking. Serum TSH is a well- established growth factor for thyroid nodules and thus can be used as a simple and reliable test to predict the risk of having a thyroid malignancy in a patient with thyroid swelling. Objectives were to correlate serum TSH level with benign or malignant nature of thyroid swelling and to evaluate the use of TSH level in predicting thyroid malignancy. Methods: This was a prospective observational study conducted over a period of one year at department of otorhinolaryngology and head and neck surgery of a tertiary care center in Nepal involving a total of 61 patients with thyroid swelling who underwent thyroid surgery. Pre-operative serum TSH level was measured and correlated with final HPE diagnosis. Results: The study included 61 patients of which 30 (49.2%) were malignant on histopathology report. The mean TSH level for benign cases was 1.97 mIU/l±0.99 and that for malignant cases was 3.85 mIU/l±1.20 (p=0.000), thus showing higher level of mean serum TSH in malignant group and also more in differentiated thyroid cancer. Conclusions: Patients with higher range of TSH levels were more likely to have thyroid malignancy as compared to lower range even within normal value. Hence, serum TSH level can be a reliable marker to predict malignancy in thyroid swelling.

Large-Scale assessment of ChatGPT's performance in benign and malignant bone tumors imaging report diagnosis and its potential for clinical applications

ObjectiveThis study was designed to delve into the complexities involved in diagnosing of benign and malignant bone tumors and to assess the potential of AI technologies like ChatGPT in improving diagnostic accuracy and efficiency. The study also explores the few-shot learning as a method to optimize ChatGPT's performance in specialized medical domains such as benign and malignant bone tumors diagnosis. MethodsA total of 1366 benign and malignant bone tumors-related imaging reports were collected and diagnosed by 25 experienced physicians. The gold standard of diagnosis was established by combining clinical, imaging and pathological principles.These reports were then input into the ChatGPT model which underwent a few-shot learning method to generate diagnostic results. The diagnostic results of the physicians and the AI model were compared to evaluate the performance of ChatGPT. An experiment was conducted to assess the influence of different radiologist's reporting styles on the model's diagnostic performance. Furthermore, in-depth analysis of misdiagnosed cases was carried out, categorizing diagnostic errors and exploring possible causes. ResultsThe diagnostic results generated by ChatGPT showed an accuracy of 0.73, sensitivity of 0.95, and specificity of 0.58. After few-shot learning, ChatGPT demonstrated significant improvement, achieving an accuracy of 0.87, sensitivity of 0.99, and specificity of 0.73, bringing it much closer to the level of physician diagnostics. In an experiment analyzing the influence of the radiologist's reporting style, the model demonstrated higher sensitivity when interpreting reports written by high-level radiologists. In 56 benign cases, ChatGPT misdiagnosed them as malignant. Among these, 35 benign lesions- fibrous dysplasia and osteofibrous dysplasia- were incorrectly identified as metastatic tumors or osteosarcomas; 8 cases of myositis ossificans were wrongly diagnosed as extraosseous osteosarcoma. 7 cases of giant cell tumor of bone at the end of long bone were misdiagnosed as osteosarcoma by intermediate doctors. Chondroblastoma was misdiagnosed as malignant tumor in 6 cases −2 osteosarcoma and 4 chondrosarcoma-In this study, 23 osteosarcoma cases were misdiagnosed by ChatGPT as osteomyelitis; Chondrosarcoma was misdiagnosed as fibrous dysplasia or aneurysmal bone cyst in 8 cases. Four cases of spinal chordoma were misdiagnosed as spinal tuberculosis. ConclusionOur findings highlight the potential of ChatGPT in the diagnosis of benign and malignant bone tumors, offering advantages like enhanced efficiency and a reduction in missed diagnoses. However, the necessity of collaborative interactions between physicians and ChatGPT in practical settings was underscored. With an examination into AI's capacity in benign and malignant bone tumors diagnosis, this study lays the groundwork for future AI advancements in medicine. Additionally, the benefits of few-shot learning in fine-tuning ChatGPT applications in specialized fields were also demonstrated.

Diagnostic implication of thyroid spherules for cytological diagnosis of thyroid nodules.

Thyroid fine-needle aspiration (FNA) is a principal diagnostic procedure for thyroid nodules. A specific cytomorphological structure, known as the thyroid spherule, is often seen in FNA specimens. The clinical significance of these spherules in terms of diagnosis and prevalence remains largely unexplored. We performed a retrospective study on 310 thyroid FNA specimens and categorized them according to the Bethesda System for Reporting Thyroid Cytopathology. The presence, size and number of thyroid spherules in each specimen were examined and these data were subsequently correlated with the clinicopathological features. Thyroid spherules were almost exclusively detected in benign cases, comprising 7.6% of all benign diagnoses. The average diameter of spherules in benign cases was 84.9 μm. Benign cases and cases with atypia of undetermined significance cases primarily exhibited low cellularity, while follicular neoplasms and malignant cases typically showed moderate to high cellularity. In the subgroup of FNA cases with moderate to high cellularity, spherules were identified in 12 (20%) of 59 benign FNA cases. Within this group, the sensitivity and specificity of thyroid spherules for detecting benign FNA cases were 20% and 100%, respectively. Our results suggest that the presence of thyroid spherules in FNA specimens can serve as a highly specific marker for benign thyroid conditions. The prevalence of spherule detection is strongly influenced by the cellularity. In cases with moderate to high cellularity, the identification of spherules can assist the cytopathologists in diagnosing thyroid FNA cases as benign.

Characteristic hysteroscopy appearance considerations for detecting uterine endometrial malignancies.

The effectiveness of hysteroscopy in diagnosing endometrial lesions has been demonstrated, showing high diagnostic accuracy for malignant endometrial lesions. Although the characteristic appearances of atypical and malignant endometria have been reported, they are not definitive and sometimes complicated. This study aimed to identify a small number of characteristic features to detect endometrial abnormalities using a simple judgment system and analyze the diagnostic characteristics and their accuracy in endometrial malignancy diagnosis. We performed a retrospective analysis of hysteroscopy video data of 250 patients, of which we selected for analysis based on pathology examination 152 cases with benign changes, 16 with atypical endometrium, and 18 with carcinoma in situ or endometrial cancer. Endometrial characteristics assessed included protrusion, desquamation, extended vessel, atypical vessel, and white/yellow lesion. Multivariable analysis revealed that desquamation (p = 0.001, odds ratio [OR] 5.28), atypical vessels (p < 0.001, OR 8.50), and white/yellow lesions (p = 0.011, OR 1.37) were significant predictors for endometrial malignancy. From their contribution status, scoring points of 4, 6, and 1 were settled according to the odds ratio proportions. When scores ≥5 (at least both desquamation and white/yellow lesions or only atypical vessels) were used to define endometrial malignancy, sensitivity and specificity were 100% and 92%, respectively. When detecting cancer, atypical, and benign cases, sensitivity and specificity were 88% and 90%, respectively. Our characteristics hysteroscopic findings showed a higher predictive ability in detecting endometrial malignancies. However, further examination with more cases would be needed to accurately diagnose endometrial malignancy by hysteroscopy.

Association of thyroid cancer with human papillomavirus infections

While Human Papillomavirus (HPV) particles have been detected in a small proportion of benign thyroid nodules or thyroid cancer cases, a role of HPV in these thyroid conditions has not been established. This study aims to investigate the association of HPV infection with thyroid cancer (TC) using a nationwide population-based study. We retrieved data for this case–control study from Taiwan's Longitudinal Health Insurance Database 2010. The study sample included 3062 patients with TC and 9186 propensity-scored matched controls. We employed multivariate logistic regression models to quantitatively evaluate the association of TC with HPV infections after taking age, sex, monthly income, geographic location and urbanization level of the patient's residence, diabetes, hypertension, and hyperlipidemia into considerations. Chi-squared test revealed that there was a significant difference in the prevalence of prior HPV infections between patients with TC and controls (15.3% vs. 7.6%, p < 0.001). The adjusted odds ratio of prior HPV infections for patients with TC was 2.199 (95% CI = 1.939–2.492) relative to controls. The adjusted ORs of prior HPV infections for patients with TC was similar for males and females. Our research suggests a significant link between HPV infection and the development of TC.