Simulation training in mammography with AI-generated images: a multireader study.

OBJECTIVES: The interpretation of mammograms requires many years of training and experience. Currently, training in mammography, like the rest of diagnostic radiology, is through institutional libraries, books, and experience accumulated over time. We explore whether artificial Intelligence (AI)-generated images can help in simulation education and result in measurable improvement in performance of residents in training. METHODS: We developed a generative adversarial network (GAN) that was capable of generating mammography images with varying characteristics, such as size and density, and created a tool with which a user could control these characteristics. The tool allowed the user (a radiology resident) to realistically insert cancers within different regions of the mammogram. We then provided this tool to residents in training. Residents were randomized into a practice group and a non-practice group, and the difference in performance before and after practice with such a tool (in comparison to no intervention in the non-practice group) was assessed. RESULTS: Fifty residents participated in the study, 27 underwent simulation training, and 23 did not. There was a significant improvement in the sensitivity (7.43 percent, significant at p-value = 0.03), negative predictive value (5.05 percent, significant at p-value = 0.008) and accuracy (6.49 percent, significant at p-value = 0.01) among residents in the detection of cancer on mammograms after simulation training. CONCLUSION: Our study shows the value of simulation training in diagnostic radiology and explores the potential of generative AI to enable such simulation training. CLINICAL RELEVANCE STATEMENT: Using generative artificial intelligence, simulation training modules can be developed that can help residents in training by providing them with a visual impression of a variety of different cases. KEY POINTS: Generative networks can produce diagnostic imaging with specific characteristics, potentially useful for training residents. Training with generating images improved residents' mammographic diagnostic abilities. Development of a game-like interface that exploits these networks can result in improvement in performance over a short training period.

Comparison of conventional diffusion-weighted imaging, diffusion kurtosis imaging and intravoxel incoherent motion in characterization of sonographically indeterminate adnexal masses.

PURPOSE: To evaluate the role of conventional diffusion weighted imaging, diffusion kurtosis imaging (DKI), and intravoxel incoherent motion (IVIM) in distinguishing benign from malignant adnexal masses. METHODS: 38 patients with 45 adnexal masses were enrolled in this prospective study and assessed with multiparametric MRI, including the IVIM-DKI sequence, on a 3 T MRI system. The mean apparent diffusion coefficient (ADC) from conventional DWI, the apparent diffusion coefficient derived from DKI (Dapp), the apparent kurtosis coefficient (Kapp), true diffusion coefficient (Dt), perfusion fraction (f) and pseudo-diffusion coefficient (Dp) were measured. RESULTS: The mean ADC, Dapp, and Dt were significantly higher in benign adnexal masses than in malignant adnexal masses (p < 0.001). f and Dp were also significantly higher in benign adnexal masses, with p values of 0.026 and 0.002, respectively. Kapp was higher in malignant masses (p < 0.001). Among mean ADC, Dapp, and Dt, mean ADC had the highest area under the curve (AUC) of 0.885. However, no statistically significant differences were observed between the ROCs of various diffusion parameters. CONCLUSION: The mean ADC, Dapp, and Kapp are useful parameters in discriminating between benign and malignant adnexal masses. Dt derived from IVIM also helps in distinguishing benign and malignant adnexal masses; however, no incremental role of IVIM and DKI over ADC could be identified in our study.

Imaging spectrum in tropical breast infections.

While breast carcinoma is the most feared pathology in women with breast lumps, infections continue to be an important aetiology, especially in countries with low to middle socio-economic status. The breast infections or mastitis can present as acute painful breast or recurrent episodes of breast lumps with or without pain. The common causes include puerperal, non-puerperal, and idiopathic mastitis whereas uncommon causes like tuberculosis, filariasis, hydatid and other parasitic infections are still seen in developing countries. Imaging with digital mammography may be difficult due to pain or inadequate due to increased breast density. Ultrasound serves as the modality of choice for detailed assessment in these patients. Since the imaging features are often overlapping with malignancy, biopsy is almost always indicated. However, there are certain imaging findings that may point to the diagnosis of mastitis and can help in accurate radiologic-pathologic correlation. This article aims to illustrate the varied clinico-radiological features of patients with tropical breast infections.

Deep learning for detection of iso-dense, obscure masses in mammographically dense breasts.

OBJECTIVES: To analyze the performance of deep learning in isodense/obscure masses in dense breasts. To build and validate a deep learning (DL) model using core radiology principles and analyze its performance in isodense/obscure masses. To show performance on screening mammography as well as diagnostic mammography distribution. METHODS: This was a retrospective, single-institution, multi-centre study with external validation. For model building, we took a 3-pronged approach. First, we explicitly taught the network to learn features other than density differences: such as spiculations and architectural distortion. Second, we used the opposite breast to enable the detection of asymmetries. Third, we systematically enhanced each image by piece-wise-linear transformation. We tested the network on a diagnostic mammography dataset (2569 images with 243 cancers, January to June 2018) and a screening mammography dataset (2146 images with 59 cancers, patient recruitment from January to April 2021) from a different centre (external validation). RESULTS: When trained with our proposed technique (and compared with baseline network), sensitivity for malignancy increased from 82.7 to 84.7% at 0.2 False positives per image (FPI) in the diagnostic mammography dataset, 67.9 to 73.8% in the subset of patients with dense breasts, 74.6 to 85.3 in the subset of patients with isodense/obscure cancers and 84.9 to 88.7 in an external validation test set with a screening mammography distribution. We showed that our sensitivity exceeded currently reported values (0.90 at 0.2 FPI) on a public benchmark dataset (INBreast). CONCLUSION: Modelling traditional mammographic teaching into a DL framework can help improve cancer detection accuracy in dense breasts. CLINICAL RELEVANCE STATEMENT: Incorporating medical knowledge into neural network design can help us overcome some limitations associated with specific modalities. In this paper, we show how one such deep neural network can help improve performance on mammographically dense breasts. KEY POINTS: • Although state-of-the-art deep learning networks achieve good results in cancer detection in mammography in general, isodense, obscure masses and mammographically dense breasts posed a challenge to deep learning networks. • Collaborative network design and incorporation of traditional radiology teaching into the deep learning approach helped mitigate the problem. • The accuracy of deep learning networks may be translatable to different patient distributions. We showed the results of our network on screening as well as diagnostic mammography datasets.

Imaging features of breast cancer subtypes on contrast enhanced ultrasound: a feasibility study.

The objective of this research was to study the contrast enhancement patterns of the different molecular subtypes of breast cancer on contrast-enhanced ultrasound (CEUS) using both qualitative and quantitative parameters. This prospective study included females with a single breast mass which was histopathologically proven carcinoma. B mode ultrasound (USG) and CEUS were performed in all patients during baseline assessment. Qualitative CEUS assessment encompassed enhancement pattern, presence of fill-in and washout. Quantitative assessment included measurement of peak enhancement, time to peak; area under the curve and mean transit time. A p-value < 0.05 was considered statistically significant for differentiating the subtypes. The included thirty masses were categorised into two subtypes-triple negative breast cancer (TNBC) (36.7%) and non-TNBC (63.3%) subtypes. With B-mode USG, a statistically significant difference was observed between the two groups with respect to their shape and margins. TNBC lesions showed an oval shape, circumscribed margins and peripheral nodular enhancement on CEUS with the absence of fill-in even in the delayed phase (p-value - 0.04). The two subtypes did not significantly differ in terms of quantitative perfusion parameters. The various subtypes of breast cancer therefore possess distinct contrast enhancement patterns. CEUS potentially allows differentiation amongst these molecular subtypes that may aid in radiology-pathology (rad-path) correlation and follow up of the patients.

Role of Magnetic Resonance Imaging in evaluation of tuberculous tubo ovarian mass.

OBJECTIVE: Role of Magnetic Resonance Imaging (MRI) in diagnosis of tuberculous tubo-ovarian (TO) mass. METHODS: MRI was performed on 33 patients of tuberculous TO mass of female genital tuberculosis (FGTB). RESULTS: Mean age, BMI, and parity was 27.5 ± 4.2 years, 22.7 ± 3.6 kg/m2, and 0.27 ± 0.13. All patients (100%) had infertility; primary infertility (72.72%) and secondary infertility (27.23%) with mean 5.8 years. Abdominal/pelvic pain 33 (100%) cases, abdominal lump 4 (12.12%), adnexal mass 33 (100%). MRI findings showed pelvic masses 33 (100%), bilateral TO masses 11 (33.33%), cystic lesion 4 (12.12%), solid cystic lesion 3 (9.09%) with bilateral pyosalpinx 1 (3.3%), homogeneous content with ascites 1 (3.03%), rim enhancing lesion abutting pelvic wall in 1 (3.03%). Right adnexal mass 11 (33.33%), right adnexal cyst 2 (6.06%), right adnexal cystic mass in 1 (3.03%), right sided complex TO mass 1 (3.03%), right sided hydrosalpinx in 1 (3.03%) case, right sided TO mass in 4 (12.12%) cases and right sided para-ovarian cyst in 2 (6.06%). Left sided adnexal mass was seen in 11 (33.33%), cystic lesion in 1 (3.03%), ovarian cyst in 3 (9.09%) cases, left sided hydrosalpinx in 2 (6.06%), left ovarian cyst 2 (6.06%) cases, left sided ovarian cyst with encysted ascites 1 (3.03%) case and with left sided paraovarian cyst 2 (6.06%) case. Miscellaneous finding were generalised ascites (6.06%), encysted ascites (3.03%), pelvic (1; 3.03%) and mesenteric lymphadenopathy 1 (3.03%). Incidental finding were fibroid 3 (9.09%) and adenomyosis 1 (3.03%) case. CONCLUSION: MRI appears to be useful diagnostic modality for tuberculous TO masses where differential diagnosis is malignancy but molecular diagnosis remains the gold standard.

Ultra-high resolution, multi-scale, context-aware approach for detection of small cancers on mammography.

While detection of malignancies on mammography has received a boost with the use of Convolutional Neural Networks (CNN), detection of cancers of very small size remains challenging. This is however clinically significant as the purpose of mammography is early detection of cancer, making it imperative to pick them up when they are still very small. Mammography has the highest spatial resolution (image sizes as high as 3328 × 4096 pixels) out of all imaging modalities, a requirement that stems from the need to detect fine features of the smallest cancers on screening. However due to computational constraints, most state of the art CNNs work on reduced resolution images. Those that work on higher resolutions, compromise on global context and work at single scale. In this work, we show that resolution, scale and image-context are all important independent factors in detection of small masses. We thereby use a fully convolutional network, with the ability to take any input size. In addition, we incorporate a systematic multi-scale, multi-resolution approach, and encode image context, which we show are critical factors to detection of small masses. We show that this approach improves the detection of cancer, particularly for small masses in comparison to the baseline model. We perform a single institution multicentre study, and show the performance of the model on a diagnostic mammography dataset, a screening mammography dataset, as well as a curated dataset of small cancers < 1 cm in size. We show that our approach improves the sensitivity from 61.53 to 87.18% at 0.3 False Positives per Image (FPI) on this small cancer dataset. Model and code are available from  https://github.com/amangupt01/Small_Cancer_Detection.

Short-Term Effects of Cholecalciferol Supplementation on cFGF23 Levels in Children with Chronic Kidney Disease and Vitamin D Insufficiency.

Data on the effect of vitamin D supplementation on fibroblast growth factor 23 (FGF23), in chronic kidney disease (CKD) are scarce. In a prospective interventional study, the effect of vitamin D supplementation on cFGF23 (C-terminal FGF23) levels in children with CKD stages 2-4 was examined. Forty-one children with CKD and vitamin D insufficiency were administered 600,000 units of cholecalciferol over 3 d; 88% of patients achieved sufficiency at 8 wk. Significant increase in serum cFGF23 and phosphate levels was observed in CKD stage 2 after supplementation, but not in CKD stages 3 and 4. There was no correlation of the change in cFGF23 level with baseline or change in bone health parameters (calcium, phosphate, parathormone or alkaline phosphatase) or with change in flow-mediated dilatation (FMD) of the brachial artery. It is concluded that cholecalciferol supplementation increases serum calcium and reduces PTH, but does not adversely affect FGF23 levels in CKD.

iTRAQ proteomics of sentinel lymph nodes for identification of extracellular matrix proteins to flag metastasis in early breast cancer.

Patients with early breast cancer are affected by metastasis to axillary lymph nodes. Metastasis to these nodes is crucial for staging and quality of surgery. Sentinel Lymph Node Biopsy that is currently used to assess lymph node metastasis is not effective. This necessitates identification of biomarkers that can flag metastasis. Early stage breast cancer patients were recruited. Surgical resection of breast was followed by identification of sentinel lymph nodes. Fresh frozen section biopsy was used to assign metastatic and non-metastatic sentinel lymph nodes. Discovery phase included iTRAQ proteomics coupled with mass spectrometric analysis to identify differentially expressed proteins. Data is available via ProteomeXchange with identifier PXD027668. Validation was done by bioinformatic analysis and ELISA. There were 2398 unique protein groups and 109 differentially expressed proteins comparing metastatic and non-metastatic lymph nodes. Forty nine proteins were up-regulated, and sixty proteins that were down regulated in metastatic group. Bioinformatic analysis showed ECM-receptor interaction pathways to be implicated in lymph node metastasis. ELISA confirmed up-regulation of ECM proteins in metastatic lymph nodes. ECM proteins have requisite parameters to be developed as a diagnostic tool to assess status of sentinel lymph nodes to guide surgical intervention in early breast cancer.

Subclavian vein collapsibility as a predictor of fluid responsiveness in spontaneously breathing hypotensive patients.

INTRODUCTION: Volume replacement remains the cornerstone of resuscitation in critically ill patients. This study explored the ability of subclavian vein collapsibility index in predicting fluid responsiveness. MATERIAL AND METHODS: In this prospective observational study conducted in the Department of Medicine, All India Institute of Medical Sciences (AIIMS), New Delhi, hypotensive patients presenting to the emergency underwent sonographic evaluation of Inferior Vena Cava and right Subclavian vein at three time points. The study population was divided into two groups: Responders and non-responders, based on ≥ 15 % increase in stroke volume following fluid bolus. OBSERVATION AND RESULTS: Among 45 recruited patients, 33 patients were responders. The area under ROC curve for SCV CI at baseline to predict fluid responsiveness was 0.745 (95% confidence interval: 0.549 - 0.941; p = 0.014). An SCV-CI of 46 % predicts fluid responsiveness in a hypotensive patient in terms of change in stroke volume by 15% following fluid bolus with a sensitivity of 87.88 % (95 % confidence interval: 71.80% to 96.60%) and specificity of 66.67 % (95 % confidence interval: 34.89% to 90.08%). Spearman's correlation coefficient between IVC CI and SCV CI was 0.59 (p < 0.001, n = 135). CONCLUSION: The results of the study show that right subclavian vein respiratory variation has the ability to predict fluid responsiveness in a spontaneously breathing patient in circulatory shock and correlates with Inferior Vena Cava collapsibility index. Subclavian vein can be an alternative to Inferior Vena Cava in predicting fluid responsiveness in spontaneously breathing patients.

Role of shear wave elastography as an adjunct to axillary ultrasonography in predicting nodal metastasis in breast cancer patients with suspicious nodes.

OBJECTIVE: To evaluate the role of shear wave elastography (SWE) of suspicious axillary lymph nodes and its combination with B-mode USG in predicting nodal metastasis in breast cancer patients. METHODS: Prospective observational study was performed from June 2018 to August 2020 on breast cancer patients with suspicious axillary nodes on USG. B-mode features (cortical thickness, effacement of fatty hilum, non-hilar blood flow and round shape) and SWE parameters (Emax, Emin, Emean and ESD) of the node with the thickest cortex were evaluated. Diagnostic performances of USG, SWE and their combination were estimated using pathological status of the node on biopsy as the gold standard. RESULTS: Of the 54 patients evaluated, optimal elasticity maps were obtained in 49 nodes of 49 patients (mean age, 46.3 ± 12.1 years; 48/49 (98%) females). On biopsy, 38 nodes (77.6%) had metastasis, while 11 (22.4%) had reactive hyperplasia. Emax, Emin, Emean and ESD of both cortex and hilum were significantly higher in metastatic than reactive nodes. Emax (cortex) ≥14.9 kPa had the best diagnostic performance (sensitivity, 73.7%; specificity, 81.8%). Cortical thickness ≥6.7 mm had the best diagnostic performance among B-mode features (sensitivity, 89.5%; specificity, 72.7%). Combining cortical thickness with effacement of fatty hilum and/or non-hilar blood flow yielded sensitivity of 89.5% and specificity of 90.9%. Addition of Emax (cortex) to cortical thickness and combination of ≥2 B-mode features increased their specificities to 90.9 and 100%, respectively. CONCLUSIONS: Metastatic axillary nodes are stiffer than reactive nodes on SWE in breast cancer patients. Emax (cortex) has the best diagnostic performance in differentiating between reactive hyperplasia and nodal metastasis. Combination of Emax (cortex) and cortical thickness increases the specificity for diagnosing metastasis, especially in nodes showing only cortical thickening. ADVANCES IN KNOWLEDGE: Combination of SWE and B-mode USG is highly specific for differentiating metastasis from reactive hyperplasia in suspicious nodes of breast carcinoma patients, especially in nodes with only cortical thickening.

Computed tomographic findings in female genital tuberculosis tubo-ovarian masses.

Female genital tuberculosis (FGTB) is a common cause of infertility in developing countries. It can manifest as menstrual disturbances, infertility and pelvic masses. OBJECTIVE: To evaluate the role of computed tomography in diagnosis of female genital tuberculosis with tubo-ovarian (adnexal) masses. METHODS: It was a prospective study over a four year period (July 2015 to August 2019) in a tertiary referral centre over 33 patients presenting with tuberculosis and tubo ovarian masses only. 75 total cases of FGTB diagnosed on composite reference standard (evaluation of AFB bacilli in microscopy or culture or endometrial biopsy, gene expert, epitheloid granulomas on endometrial biopsy or definitive or possible findings of FGTB on laparoscopy). Detailed history taken, clinical examination, baseline investigations and endometrial biopsy were done in all cases. Computed tomography was performed in women presenting with infertility, tubo ovarian masses on clinical examination and laboratory investigations. A total of 33 cases were evaluated. RESULTS: Mean age, body mass index, parity and history of TB contact were 27.5 ± 4.2 year, 22.7 ± 3.6 kg/m2, 0.27 ± 0.13 and 44.4% respectively. Infertility was primary in 72.72% and secondary in 27.23%. Case wise mean duration being 5.8 years, menstrual dysfunction was seen in 45.45% cases. Abdominal discomfort with pain and lump were seen in all 33 (100%) cases. Abdominal lumps were felt in 4 (12.12%) cases while adnexal mass was seen in all 33 (100%) cases being unilateral in 18 (54.54%) and bilateral in 15 (45.45%). Mean ESR was 33.4mm in first hour while mean leucocyte count was 6128 ± 2854 per cubic mm. Infectious mantoux test (>10mm) was seen in 14 (42.82%) cases while abnormal X ray chest was seen in 9 (27.27%) cases. Diagnosis of FGTB was made by positive AFB n microscopy or culture of endometrial biopsy in 5 (15.15%) cases, positive gene expert in 6 (18.18%) cases, positive polymerase chain reaction in 32 (96.96%) cases, epitheloid granulomas on histopathology of endometrial biopsy in 7 (21.21%) cases, definitive findings of tuberculosis in 15 (45.45%) cases and a possible findings of tuberculosis inn 18 (54.54%) cases. Various CT findings were pelvic mass (100%), unilateral pelvic mass in 18 (54.54%), bilateral pelvic mass in 15 (45.45%), cystic mass (24.2%), solid mass (21.2%), mixed mass (54.54%), mass showing multilocular caseous necrotic enhancements (12.12%), ascites (42.4%), thickening and enhancement of peritoneum in 14 (42.42%), nodules in 24.2%, smooth in 18.8%, pelvic adhesion in 6 (18.18%), lymphadenopathy in 8 (24.3%) with calcifications (9.09%) and central necrosis (52.5%). Other CT findings were thickening and enhancement of bowel wall (12.12%), hepatic TB (3.03%), splenic TB (3.03%), omental thickening (9.09%) and omental calcification (3.03%) cases. CONCLUSION: Computed tomography appears to be a useful diagnostic modality in diagnosis of tuberculosis tubo ovarian masses and may help avoid unnecessary surgery.

Sentinel Node Mapping in Early Breast Cancer: A Randomized Comparison of Fluorescein Guided All India Institute of Medical Sciences, Anurag's Technique with Technetium-99 m Sulfur Colloid Plus Methylene Blue.

Purpose: Evaluation of fluorescein along with blue dye as an affordable tracer for sentinel node biopsy in comparison with technetium + methylene blue. A randomized trial was conducted with the following objectives: (1) to demonstrate that the identification of sentinel lymph node by fluorescein + methylene blue is not inferior to the identification by Tc-99 m sulfur colloid + methylene blue and (2) to evaluate the cost-effectiveness of sentinel node biopsy by above two tracers. Subjects and Methods: One-thirty patients above age 18 years presenting with early breast cancer T1, T2, N0 breast carcinoma were randomized to undergo sentinel node biopsy by either fluorescein + methylene blue or Tc-99 m sulfur colloid + methylene blue. Results: The sentinel lymph nodes were identified in 89% in Fluorescein + methylene blue group and 90.9% with Tc-99 m sulfur colloid + methylene blue group. The trial demonstrated noninferiority of fluorescein + methylene blue as compared to isotope + methylene blue with effect size = 1; 95% confidence interval- 9.54 to + 11.54. The fluorescein + methylene blue was more cost-effective than isotope guided sentinel node biopsy. Conclusion: Fluorescein-guided sentinel node biopsy is noninferior and more cost-effective than isotope-guided sentinel node biopsy.

Comparison of Wire-Guided Lumpectomy (WGL) Versus Hematoma-Directed Ultrasound-Guided Lumpectomy (HDUGL) in Management of Nonpalpable Breast Lesions in Achieving a Negative Resection Margin: a Randomized Trial with Superiority Hypothesis and Cost-effectiveness Analysis.

The advances in imaging techniques and growing awareness have increased the detection of nonpalpable breast lesions, which may be neoplastic or high-risk lesions. The standard technique of localizing these nonpalpable breast lesions is wire-guided biopsy/lumpectomy. However, wire-guided excision is fraught with the complications of migration, transection, patient discomfort, pneumothorax, vasovagal episodes, and injury to the radiologist, surgeon, and pathologist. We embarked upon a randomized controlled trial to compare the cost-effectiveness and patient-reported outcome (PRO) with hematoma-directed ultrasound-guided lumpectomy (HDUGL) versus conventional wire-guided lumpectomy (WGL) for nonpalpable breast lesions. This study was a parallel design, randomized controlled trial with a superiority hypothesis. Twenty-five patients could be randomized to wire-guided lumpectomy (WGL) group (n = 13) and hematoma-directed ultrasound-guided lumpectomy (HDUGL) group (n = 12). Post-excision specimen sonography and mammography for assessing adequacy of margin were done. A margin shave was performed in cases of close or suspicious margin on ultrasonography or mammogram. Both the groups were comparable in age, tumor size, histological subtypes, and location of lesions. The median resection volume in two groups was 34.5 (26.5) ml for HDUGL vs. 41 (15) ml for WGL. Intraoperative cavity shave was required only in the WGL group (n = 3.23%) and margin positivity was also more in the WGL group (n = 2,15.38%) as compared to the HDUGL group (n = 1,8.33%) but neither differences in cavity shave nor positive margins leading to re-operations were statistically significant. The difference in cost of surgery in two groups (INR 4680 ± 560.00 for HDUGL and INR 7486 ± 616.41 for WGL) was statistically significant (P = 0.00). Resultantly, HDUGL was more cost-effective (INR 5105.45) than WGL (INR 8847.09). Patients in the HDUGL group were more satisfied according to the Likert scale of 5 but this difference in two groups was not statistically significant (P = 0.07). The hematoma-directed ultrasound-guided lumpectomy (HDUGL) is better than wire-guided lumpectomy (WGL) for nonpalpable breast lesions in terms of cost-effectiveness. Trial details: CTRI No. CTRI/2019/05/019347. Registered on 24/05/2019, Registered prospectively.

Hysterosalpingography Observations in Female Genital Tuberculosis with Infertility.

Background: Hysterosalpingography (HSG) is radiographic evaluation of uterine cavity and tubal patency. Aims: The aim of this study was to evaluate the safety and utilisation of HSG in female genital tuberculosis (FGTB) with infertility. Settings and Design: The study was conducted in a tertiary referral centre of North India. Materials and Methods: It was a prospective study on 87 cases of FGTB with infertility. Diagnosis of FGTB was made by composite reference standard using the presence of acid-fast bacilli on microscopy/culture or positive GeneXpert, positive polymerase chain reaction or epithelioid granuloma on endometrial biopsy or definitive or probable findings on laparoscopy or hysteroscopy. Statistical Analysis Used: Suitable statistical methods were used with STATA software version 12.0. Results: HSG findings were normal in 49 (56.32%) cases. There were filling defects in 14 (16.09%), short and shrunken cavity in 4 (4.49%), intrauterine synechiae in 14 (16.09%), T-shaped cavity in 3 (3.44%) and deformed uterine cavity in 5 (5.74%) cases. Fallopian tube findings were hydrosalpinx in 12 (13.79%) and 11 (12.64%) cases, beading of tube in 4 (4.59%) and 2 (2.29%) cases, pipestem appearance in 2 (2.29%) cases each and Maltese cross appearance in 3 (3.44%) and 2 (2.29%) cases, respectively. Tubal blockage was seen in 69 (79.31%) and 67 (77.01%) cases being cornual block in 28 (32.18%) and 26 (29.88%) cases, mid-tubal block in 16 (18.39%) and 15 (17.24%) cases, multiple blocks in 10 (11.49%) and 12 (13.79%) cases and fimbrial block in 15 (17.24%) and 14 (16.09%) cases. None of the cases had flare-up of the disease after HSG in the current study. Conclusion: HSG is a useful modality in FGTB with infertility.

Transvaginal Shear Wave Elastography for Assessment of Endometrial and Subendometrial Pathologies: A Prospective Pilot Study.

OBJECTIVE: To assess the role of shear wave elastography (SWE) in characterizing different endometrial and subendometrial pathologies. METHODS: Seventy-three women with pathologically proven endometrial and subendometrial pathologies were enrolled in this prospective study and assessed with transvaginal SWE. The elasticity values (in kiloPascals), and the ratio of mean elasticity of the endometrial lesion to myometrial elasticity (E/M ratio) were compared in different pathologies. RESULTS: There was a statistically significant difference (P <.001) in the mean, minimum, and maximum elasticity of the pathologies as well as the E/M ratio (P <.00001). In the analysis of the subgroups, the mean elasticity of endometrial polyp was statistically significantly lower than other subgroups (P <.01), while submucosal leiomyoma and focal adenomyoma had significantly higher values than other subgroups (P <.01). No statistically significant difference was noted in the mean elasticity of carcinoma and hyperplasia (P-.19). CONCLUSION: SWE is a potential adjunct to ultrasound that provides an additional paradigm to characterize endometrial and subendometrial masses.

Clinicopathological and Radiological Features with Long Term Follow Up of Metaplastic Carcinoma Breast in India.

OBJECTIVE: Metaplastic breast carcinoma (MBC) is a heterogeneous group of invasive carcinomas with squamous and/or mesenchymal differentiation. Because of their rare occurrence, the information regarding the clinical behaviour of metaplastic carcinomas is limited. The purpose of our study was to delineate the clinicopathological and radiological features, treatment outcomes, prognostic factors, and survival of patients with MBC. METHODS: Ambispective observational study with prospective recruitment was done from 1st January 2019 to 31st August 2020. Retrospective data included between 1st January 2009 and 31st December 2018. In the retrospective group surgical database of our department was searched and those with MBC diagnosis on post-operative histopathology recruited. In prospective group patients with MBC on core biopsy were followed and those operated were included. The patients followed up at our breast cancer clinic (BCC) and their demographic, clinical, pathological radiological and treatment details noted. RESULTS: Forty patients formed the study population. The mean age of the patents was 42 years. Ipsilateral axillary lymph node metastasis was present in 22.5%. The pathological median tumor size was 5.4 (range 2.1 to 22 cm). The most common differentiation was cartilaginous (35%) followed by squamous (32.5%). The most common mammographic grading was BIRADS 4 (Breast Imaging Reporting and Data system). Magnetic resonance imaging was T2 hyperintense with peripheral rim enhancement and restriction on DWI. The median overall (OS) and disease-free survival (DFS) was 42 and 40 months, respectively. Fifteen patients (37.5%) had disease related mortality. A subgroup analysis revealed that, type of differentiation, histopathology and tumor size > 5cm affected both OS and DFS significantly. CONCLUSION: Metaplastic breast cancer in our setup presents in young patients with aggressive large tumors at a higher stage and diverse histopathology and with comparable overall and disease-free survival. The histological subtype, tumor differentiation and tumor size are prognostic factors.

Evaluation of Role of Transabdominal and Transvaginal Ultrasound in Diagnosis of Female Genital Tuberculosis.

BACKGROUND: Female genital tuberculosis (FGTB) is a common problem in developing countries causing significant morbidity, especially infertility. Radiological imaging, especially ultrasound, can help in diagnosis of FGTB with tubo-ovarian masses. AIMS: The present study was performed to evaluate the role of ultrasound in diagnosis of FGTB and to see various findings of FGTB on ultrasound. STUDY SETTING AND DESIGN: It was a prospective cross-sectional study over 4-year period between August 2015 and August 2019 in a tertiary referral center. SUBJECTS AND METHODS: One hundred and seventy-five patients of infertility diagnosed to have FGTB on composite reference standard (CRS) of positive acid-fast bacilli on microscopy or culture of endometrial biopsy, positive polymerase chain reaction, positive GeneXpert, epithelioid granuloma on histology of endometrial biopsy, or definite or probable finding of FGTB on laparoscopy were subjected to transvaginal ultrasound by an experienced sonographer for various findings of FGTB. STATISTICAL ANALYSIS: Data analysis was carried out using STATA software 12.0. Comparison of categorical values was tested using Chi-square Fisher's exact test, with P < 0.05 being taken as significant. RESULTS: Mean age, body mass index, parity, and duration of infertility were 28.9 years, 22.9 kg/m2, 0.26, and 6.06 years, respectively. Menstrual dysfunction was common (44%). Diagnosis of FGTB was made by CRS. Ultrasound was normal in 112 (64%) cases and was abnormal in 63 (36%) cases. Various ultrasound findings were ovarian cyst (23.42%), tubo-ovarian masses (15.42%), unilateral or bilateral hydrosalpinx (13.71%), pyosalpinx (0.57%), adhesion (1.14%), adnexal fixity (6.28%), thin endometrium (24.57%), endometrial fluid (12.57%), endometrial calcification (1.7%), endometrial synechiae (4.57%), cornual synechiae (2.28%), impaired endometrial vascularity (21.71%), ascites (6.85%), and peritoneal or omental thickening (1.75%). CONCLUSION: Carefully performed ultrasound is a useful modality in diagnosis of FGTB, especially in adnexal masses.

Image-Guided Breast Interventions: Biopsy and Beyond.

Breast interventions primarily comprise of biopsy of the suspicious breast lesions to obtain accurate pathological diagnosis. Generally, image-guided breast biopsy is required for nonpalpable lesions, however, even in palpable lesions, image-guided biopsy should be performed as it improves the accuracy of diagnosis. Image-guided breast interventions have progressed well beyond biopsy, making the radiologist an important part of the multidisciplinary management of breast cancer. Preoperative localization of nonpalpable abnormalities guides optimal surgical excision to obtain negative margins without sacrificing the normal tissue. Ablative procedures for breast cancer treatment such as radiofrequency ablation (RFA) and high-intensity focused ultrasound ablation can sometimes replace surgery in older patients with comorbidities. This article enumerates and describes the expanding spectrum of image-guided interventions performed by breast radiologist.