Objective: Determining the prevalence of Tarlov cysts in low back pain patients. Methods and materials: The picture archiving & communication system (PACS) & hospital information system (HIS) of a corporate hospital were retrospectively analyzed to determine the percentage of Tarlov cysts among patients undergoing spinal MRI for back pain over 3 years (January 2017 to December 2019). Results: 384 patients had undergone spinal MRI for back pain over the study period, and 25 of them (6.51%) had Tarlov cysts. Vast majority (15 cases) showed cysts located at S2/S3 level, and few were found at S1/S2 and other levels. Single cysts were found in most (=18) of the cases, while 7 cases of multiple / bilateral cysts were found. Cyst dimensions were higher in craniocaudal than anteroposterior or transverse directions. In case of multiple cysts, one or two cysts were noted as dominant, having higher dimensions than the others. The study data revealed no gender or age predilection. Conclusions: We conclude that including the entire sacrum with a T2 sagittal sequence in all MRI for low back pain can increase detection of Tarlov cysts, and thereby provide more data for further analysis. Advances in knowledge: We propose the concept of one “dominant” cyst when there are multiple Tarlov cysts. We recommend that diameter or size of Tarlov cysts be specified to their craniocaudal dimension. We also suggest reporting points for contextual structured reporting, viz. presence or absence of bony scalloping, neural foraminal narrowing, nerve root compression or extraforaminal extension.

We have to classify and analyze digital images for different study and purposes. Digital images are obtained from sources like camera, satellites, aircraft etc. Data obtained from satellites or aircraft i.e, the space based and remote sensing data needs to be corrected as they are usually geometrically distorted due to their acquisition system and the movements of the platform of aircraft. Processing and pre-processing are necessary for such correction prior to image classification. Image Processing is a technique which is used to enhance raw images received from cameras, satellites, space probes, aircrafts etc. and Digital image processing is the technique of processing images in the form of discrete digital brightness using digital circuits or digital computers. Image analysis and classification starts when processing and pre-processing ends.

We describe the clinical presentation and CT findings of a 10 years old female patient about half an hour prior to cardiorespiratory arrest & subsequent death, resulting from brainstem compression & herniation caused by hydrocephalus & intracranial hypertension, produced by a previously undetected colloid cyst occluding foramina of Monro on both sides. While third ventricular colloid cysts are rare lesions, sudden unpredicted deaths have been attributed to undetected colloid cysts in many case reports, with some authors even considering that 10% of colloid cyst patients suffer such ends. However, there is still no conclusive or comprehensive guideline regarding how to prevent such situations. We make a short literature review and put forward a few recommendations / learning points to that end.

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The aim of this report is to present various clinical and radiological features of a young female patient with tuberous sclerosis who exhibited multiple hamartomas of various organ system. Tuberous sclerosis is a rare neurocuteneous syndrome exhibiting multiple hamartomatous proliferations that may involve multiple organ system such as brain, kidney, heart, lungs, eyes and skin. An 18 year old female patient presented with abdominal pain and swelling. Clinical examination of the patient revealed presence of facial angiofibromas and huge left flank mass. She also gave history of twin pregnancy with IUD. USG of abdomen showed bilateral gross angiomyolipoma with necrosis and haemorrhage in left kidney. CT and MRI of brain showed presence of multiple cortical tubers and calcified subependymal nodules. This case report is a good example of complex nature of tuberous sclerosis. The diagnosis and management of these patients depend on the presentation of the disease.