The authors present a case of radiation-induced pacemaker failure. After 2,000 rad (20 Gy) of photon irradiation for metastatic bronchogenic carcinoma, the pulse generator circuitry failed, producing a "runaway" rhythm. This suggests that present pacemaker circuitry may be more susceptible to irradiation than previously believed, and that even modest radiation doses can induce life-threatening arrhythmias.

HemorrhoidsStapled hemorrhoidopexy a b s t r a c t Background: Stapled hemorrhoidopexy is gaining popularity as a relatively painless alternative to conventional excisional hemorrhoidectomy. The initial experience from a service hospital is presented along with review of literature.Methods: 40 cases were managed by stapled hemorrhoidopexy (SH) over a period of two and half years. The primary outcome measures assessed were the analgesic requirement in the post-operative period and the time taken to resume Activities of Daily Living (ADL).Additional outcome measures studied were; presence of bleeding per rectum, prolapse of mass per rectum, incontinence to flatus/stool, post-operative urinary retention, requirement of a repeat procedure, presence of post-operative anal stenosis, and residual external haemorrhoids at 1 week, 1, 3 and 6 months and 1 year after surgery.

Aims: This study aims to derive simple yet robust formula(s) for the calculation of cranial tumor volume using linear tumor dimensions in anterioposterior (AP), mediolateral (ML) and craniocaudal (CC) directions and also propose a reproducible methodology for tumor dimension measurements. Materials and Methods: Magnetic resonance images (MRI) of 337 patients planned for Gammaknife Stereotactic Radiosurgery for different types of brain tumors were analyzed using Leksell Gamma Plan (LGP) software. Tumor volume in three dimensional was outlined and maximum tumor diameters were measured in three orthogonal directions AP, ML, and CC on the MRI. Formulas were derived to calculate tumor volume from AP, ML, and CC diameters using linear regression technique. An agreement between the calculated volume and standard volume observed from LGP software was determined using Bland Altman (B-A) plot. A comparison was made between the volume calculated using traditionally used formula of ellipsoid, standard volume obtained from LGP software and volume calculated from formulas derived in the present study. Results: The tumors were divided into two categories based on their size for better volume prediction. The tumors having product of their diameters in the range 0–2.5cc were called “small tumors” and the formula proposed for their volume estimation ( V = 1.513) × (AP × ML × CC) + 0.047 ) was found to predict the tumor volume with an average bias of 0.0005cc. For “large tumors,” having product of diameters in the range 2.5–36cc, the proposed formula ( V = 0.444 × (AP × ML × CC) + 0.339 ) predicted the tumor volume with an average bias of 0.007cc. Conclusions: The two formulas proposed in the study are more accurate as compared to the commonly used formula that considers the tumors as ellipsoids. The methodology proposed in the study for measurement of linear tumor dimensions is simple and reproducible.

Today, Sports is not what it used to be a decade ago. Technologies like Machine Learning and Artificial Intelligence have dominated it. Now there are sensors in all types of sports equipment like cricket bats, stumps, flannels, etc., which analyse the data and provide analytics, which may or may not be helpful, but we, as spectators, thoroughly enjoy the game. The terms such as Cric-Science (Cricket + Data Science) and Cricket Analytics are the fruit of ML/AI. In the last decade alone, cricket has witnessed many changes, such as the addition of a new format like T10, which is yet to be recognised by ICC, along with the introduction of many other international leagues such as IPL, BBL, PSL, CPL, apart from the widely recognised formats like Test Match, One day International and T20. With so much cricket played, the data generated is also massive. But even with these technological advancements, run rate is conventionally used to predict a team’s score in the upcoming overs. So, in this research paper, we aim to predict a team’s score using Neural Network by using the data from past balls.

Pituitary adenomas are very common lesions, constituting between 10 and 20% of all primary brain tumors(1,2). Epidemiological studies have demonstrated that nearly 20% of the general population has a pituitary adenoma(2). Pituitary adenomas are broadly classified into two groups. The first category consists of tumors that secrete excess amounts of normal pituitary hormones, The second category of pituitary adenomas is composed of tumors that do not secrete any known biologically active pituitary hormones For both types of pituitary adenomas, a recurrence resulting from tumor invasion into surrounding structures or in complete tumor resection is quite common. Longterm tumor control rates after microsurgery alone vary from 50 to 80%(3-5). Radiation therapy or radiosurgery can be administered postoperatively as adjuvant therapy to inhibit recurrent growth or later when clinical symptoms or neuroimaging findings indicate a recurrence. These therapies may also be used postoperatively to treat known residual tumor following incomplete resection.