Churchill as Chancellor of the Exchequer (1924–9) and the return to the gold standard

The general election of 29 October 1924 saw Winston Churchill return to Parliament as Constitutionalist MP for Epping after two years in the political wilderness. It also saw Stanley Baldwin swept back to Number 10 on a Conservative landslide. Speculation about whether Baldwin would cement Churchill’s drift from the Liberal fold by offering him office surfaced during the election campaign. Churchill nevertheless thought ‘it very unlikely that I shall be invited to join the Government, as owing to the size of the majority it will probably be composed only of impeccable Conservatives’. [ 1 ] Because of his anti-socialist credentials, his ability to reassure wavering Liberals through his opposition to protectionism – dropped by Baldwin after its rejection in the 1923 general election – and concern he could prove a rallying point for backbench malcontents, there was however much to commend giving Churchill a post. To his surprise, Baldwin offered Churchill the long-coveted office of Chancellor of the Exchequer, briefly held by his father before his ill-conceived resignation in 1887. Having arranged a meeting with his Labour predecessor, Philip Snowden, about outstanding business the new Chancellor set to work. Marking his political transition, a few days later Churchill resigned from the National Liberal Club.

Winston Churchill as Chancellor of the Exchequer (1924-9) and the Return to the Gold Standard

This revisits Churchill's decision, as Chancellor of the Exchequer 1924-29, to restore the Gold Standard in 1925. This is considered within the wider context of the overall aims of Churchill's policies, including his efforts to: tackle Anglo-American economic and financial relations in the aftermath of the Great War; address budgetary pressures; widen the tax base through innovations such as the Betting Duty; spread the social burden of taxes; and revive the economy, not least through his de-rating scheme.

Validation of the needle targeting accuracy of a MRI/TRUS- image-guided system for transperineal prostate cancer biopsy

Multi-parametric magnetic resonance imaging (mp-MRI) has become an increasingly important method for detecting and treating prostate cancer. Transrectal ultrasound (TRUS) is the most commonly used method for guiding prostate needle biopsy and remains the gold standard for diagnosis of prostate cancer. MRI-to-TRUS image reg- istration is an important technology for enabling computer-assisted targeting of the majority of prostate lesions that are visible in MRI but not independently distinguishable in TRUS images. The aim of this study was to estimate the needle placement accuracy of an image guidance system (SmartTargetÒ), developed by our research group, using a surgical training phantom.

Validation of a fast method for quantification of intra-abdominal and subcutaneous adipose tissue for large-scale human studies

Central obesity is the hallmark of a number of non-inheritable disorders. The advent of imaging techniques such asMRI has allowed for a fast and accurate assessment of body fat content and distribution. However, image analysis continues to be one of the major obstacles to the use of MRI in large-scale studies. In this study we assess the validity of the recently proposed fat–muscle quantitation system (AMRATM Profiler) for the quantification of intra-abdominal adipose tissue (IAAT) and abdominal subcutaneous adipose tissue (ASAT) from abdominal MR images. Abdominal MR images were acquired from 23 volunteers with a broad range of BMIs and analysed using sliceOmatic, the current gold-standard, and the AMRATM Profiler based on a non-rigid image registration of a library of segmented atlases. The results show that there was a highly significant correlation between the fat volumes generated by the two analysis methods, (Pearson correlation r = 0.97, p < 0.001), with the AMRATM Profiler analysis being significantly faster (~3 min) than the conventional sliceOmatic approach (~40 min). There was also excellent agreement between the methods for the quantification of IAAT (AMRA 4.73 ± 1.99 versus sliceOmatic 4.73 ± 1.75 l, p = 0.97). For the AMRATM Profiler analysis, the intra-observer coefficient of variation was 1.6% for IAAT and 1.1% for ASAT, the inter-observer coefficient of variationwas 1.4%for IAAT and 1.2%for ASAT, the intra-observer correlationwas 0.998 for IAAT and 0.999 for ASAT, and the inter-observer correlation was 0.999 for both IAAT and ASAT. These results indicate that precise and accurate measures of body fat content and distribution can be obtained in a fast and reliable form by the AMRATM Profiler, opening up the possibility of large-scale human phenotypic studies.