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Institution

Tata Memorial Hospital

HealthcareMumbai, India
About: Tata Memorial Hospital is a healthcare organization based out in Mumbai, India. It is known for research contribution in the topics: Cancer & Breast cancer. The organization has 3187 authors who have published 4636 publications receiving 109143 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors identify patient and treatment-related risk factors for fistula, bleeding, cystitis, pain and difficulty in voiding in locally advanced cervical cancer patients treated with radio(chemo)therapy and image-guided adaptive brachytherapy (IGABT).

25 citations

Journal ArticleDOI
TL;DR: The data from studies to determine whether obtaining a complete resection by extending the limits of conventional resection in patients with advanced disease will yield the results seen with PD alone in early disease are revisited.
Abstract: Surgery remains the mainstay of treatment for pancreatic ductal adenocarcinoma and complete removal of the cancer confers a definite survival advantage, especially in early disease. However, the majority of patients do not present with early disease, thus precluding the chance of a cure by standard pancreatoduodenectomy (PD), distal pancreatectomy or total pancreatectomy. For this reason, pancreatic surgeons have attempted to push the limits of resection over the last three decades. The aim of these resections has been to determine whether obtaining a complete resection by extending the limits of conventional resection in patients with advanced disease will yield the results seen with PD alone in early disease. This article revisits the data from such studies in an attempt to determine if the available literature supports the performance of extended resections for pancreatic cancer in terms of improvement of survival.

25 citations

Journal ArticleDOI
TL;DR: USG is a useful addition to the armamentarium of anaesthesiologist for the confirmation of LDLT position and improved sensitivity, specificity, positive predictive value, negative predictive value and accuracy of each method.
Abstract: Background and Aims: Traditional clinical methods like auscultation or inspection have been found to be inaccurate in confirmation of double-lumen tube (DLT) position. Lung ultrasonography (USG) reliably identifies the tidal movement (lung sliding) and the collapse of the lung (lung pulse). We intended to check whether the accuracy of clinical methods can be improved by the addition of USG in confirmation of left DLT (LDLT) position. Methods: A single centred, prospective, comparative study was conducted involving 70 patients undergoing thoracic surgeries requiring the use of LDLT. The patients were assigned to Group A - where LDLT position was assessed by using clinical methods alone, and Group B - where LDLT position was assessed by USG and clinical methods. The correct position was predicted when USG demonstrated the absence of lung sliding and the presence of lung pulse on the operative side, the presence of lung sliding on non-operative side, along with normal airway pressures and oxygenation. The final verification of LDLT position was done by direct observation of lung isolation by one surgeon who was blinded to the method of confirmation. Contingency tables were drawn to calculate sensitivity, specificity, positive predictive value, negative predictive value and accuracy of each method. Results: Compared to clinical methods alone, addition of lung USG improved sensitivity (75% vs. 88%), specificity (18% vs. 75%) and accuracy (57% vs. 85%) for correct prediction of LDLT position. Conclusion: USG is a useful addition to the armamentarium of anaesthesiologist for the confirmation of LDLT position.

25 citations

Journal ArticleDOI
TL;DR: Computed tomography and magnetic resonance imaging aided in correctly establishing the diagnosis and optimizing the management of this patient, and optimally depicted the ruptured fibroid and excluded other causes of acute abdomen.

25 citations


Authors

Showing all 3213 results

NameH-indexPapersCitations
Al B. Benson11357848364
Keitaro Matsuo9781837349
Ashish K. Jha8750330020
Noopur Raje8250627878
Muthupandian Ashokkumar7651120771
Snehal G. Patel7336716905
Rainu Kaushal5823216794
Ajit S. Puri543699948
Jasbir S. Arora5135115696
Sudeep Sarkar4827310087
Ian T. Magrath471078084
Pankaj Chaturvedi4532515871
Pradeep Kumar Gupta444167181
Shiv K. Gupta431508911
Kikkeri N. Naresh432456264
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
202232
2021223
2020244
2019206
2018239