Due to protean presentations, poor sensitivity of radiographs and variable reliability of synovial fluid analysis, diagnosis of Calcium pyrophosphate deposition disease (CPPD) is a challenge. This study addressed the diagnostic performance of musculoskeletal ultrasound (MSK-USG) in identifying CPPD features in hyaline cartilage, fibrocartilage, tendon, and synovial fluid. We compared ultrasound findings in CPPD to those in osteoarthritis (OA) and gout and healthy control. In this retrospective exploratory study, MSK-USG performed between February 2022 and July 2023 were reviewed. Patients retrospectively fulfilled the ACR/ EULAR classification criteria 2023 (score ≥ 56) were included (n = 16). Clinical phenotypes included acute CPP arthritis (44
Artificial Intelligence (AI) is a prime instance of a technological breakthrough that has widespread medical applicability at present as well as future. This technology has multi-dimensional progression. Modern medical service became vibrant with the use of this technology. AI has its rich history of development which has been contributed by genius people around the globe. History of AI is important to realize its potentiality by analyzing its past, which helps in forecasting future. AI is becoming popular in different arena of medical science. It is now applied in cardiovascular diseases, Pulmonary Medicine, Endocrinology, Nephrology, Gastroenterology, Neurology, Dermatology, Ophthalmology, Pathology, Oncology, Radiology, Surgery and also in Telemedicine. Algorithms like Aidoc’s detect pulmonary embolism in chest CT scans with 85% sensitivity and 99% specificity. AI based (deep-learning model) mammography and skin cancer diagnosis performs at or above human specialist level. It is the need of time to train medical man power in this field. Enhancing the skill of medical professional in this regard will develop a new generation of doctors to fulfill the need of future. It should be noted that the ethical dilemmas, privacy, data protection, informed consent, social gaps, medical consultation, empathy, and sympathy are various challenges in using AI. We should be aware that its negative aspects might not outweigh its benefit. Introduction of AI and machine learning in medicine helped health professionals to improve the quality of care. It has the potential to improve even more in near future and beyond.
Abstract not available Pulse Vol.17, 2025 P: 3-5
Dose estimation and quality control in computed tomography (CT) scanners are useful in controlling the dose of radiation given to patients while tests are carried out. The study was performed in a 16-slice Computed Tomography (CT) system of LightSpeed RT16 Xtra CT scanner. Quality control was done using a vendor-provided QA Phantom, and the six aspects of image quality were measured. For CT dosimetry, Computed Tomography Dose index volume (CTDIvol) was performed using Computed Tomography Dose Index (CTDI) Phantom. CTDI Phantom consists of three parts: Pediatric Head, Adult Head, and Adult Body Phantom. A 10 cm long pencil ion chamber DCT-10 was used to measure the dose at different positions inside the CTDI Phantom. Data were collected using MagicMax Universal software. For dose estimation of the CTDIvol Report of AAPM Task Group, 96 and 111 formalisms were used. For Pediatric Head, Adult Head, and Adult Body Phantom the measured CIDIvol was 61.04 mGy, 48.11 mGy, and 18.08 mGy respectively. The study has shown deviations of 7%, 15%, and 19% between estimated and console-displayed doses for Pediatric Head, Adult Head, and Adult Body scan techniques respectively. The six aspects of image quality measured by QA Phantom were found to be compatible with the specifications of the machine and CTDIvol measured by CTDI Phantom were found within a tolerance limit of ±20%. Hence, the QC and dosimetry of the mentioned machine are within the limit.
This report describes two successful cases of lateral tongue squamous cell carcinoma (SCC) reconstructed using a submental island flap following surgical resection. Case 1: A 59-year-old woman, presented with a 3.1 × 5.4 cm lesion on the left lateral tongue. She underwent wide local excision with supraomohyoid neck dissection, followed by reconstruction using a 7 × 4 cm pedicled submental island flap comprising skin, subcutaneous tissue, platysma, anterior belly of the digastric, and part of the mylohyoid muscle. Postoperative recovery was uneventful. At six months, she had regained oral intake and speech. Two-year follow-up confirmed excellent functional and aesthetic outcomes with no donor-site morbidity. Case 2: A 45-year-old man with grade II squamous cell carcinoma of the left lateral tongue (1.5 × 1.8 cm, depth of invasion 10 mm), underwent wide local excision with supraomohyoid neck dissection. A submental island flap was used for reconstruction. Recovery was smooth, with restoration of oral function by the second postoperative week. Beard growth over the flap was managed successfully with laser depilation. At one-year follow-up, healing was complete with satisfactory functional outcome. These cases highlight the submental island flap as a reliable, well-vascularized, functionally effective, and cosmetically acceptable option for tongue reconstruction after oncologic resection. It offers a resource-efficient alternative to free microvascular flaps, avoiding the need for microsurgical anastomosis and minimizing donor site morbidity. Pulse Vol.17, 2025 P: 48-52
