Faculty profile

Sonal Gandhi

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Associate ProfessorDepartment of MedicineUniversity of Toronto

Sonal Gandhi

Associate Professor

Department of Medicine

Temerty Faculty of Medicine

University of Toronto

Toronto, Ontario, Canada

Supervision signals

Professors usually supervise graduate students in their department's programs.
19 publications in the last five years, latest in 2026.
Senior (last) author on 2 recent papers, a sign of leading a research group.

These signals come from public records, including federal and provincial funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

Publications

980

Citations

237

Collaborators

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

Profiles and links

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Signals and details

Research

Read how they describe their research on their University of Toronto profile.

Latest papers

Quantitative Ultrasound Texture Analysis of Breast Tumor Responses to Chemotherapy: Comparison of a Cart-Based and a Wireless Ultrasound Scanner.
Journal of imaging · 2026
Early tumour size changes from neoadjuvant chemotherapy as a predictor of pathologic response in breast cancer.
PloS one · 2026
Validation of a Quantitative Ultrasound Texture Analysis Model for Early Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: A Prospective Serial Imaging Study
Cancers · 2025

All 40 publications

40 publications.

Quantitative Ultrasound Texture Analysis of Breast Tumor Responses to Chemotherapy: Comparison of a Cart-Based and a Wireless Ultrasound Scanner.

Alberico D, Pena MLA, Osapoetra LO, Sannachi L, Yip J, Gandhi S, Wright F, Oelze M, Czarnota GJ

Journal of imaging2026

DOI: 10.3390/jimaging12030129 PMID: 41892931

Early tumour size changes from neoadjuvant chemotherapy as a predictor of pathologic response in breast cancer.

Chung EZ, Alberico D, Sannachi L, Dasgupta A, Yip J, Pena MLA, Gandhi S, Curpen B, Czarnota GJ

PloS one2026

DOI: 10.1371/journal.pone.0346704 PMID: 42201919

Validation of a Quantitative Ultrasound Texture Analysis Model for Early Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: A Prospective Serial Imaging Study

Moore-Palhares D, Sannachi L, Chan AW, Dasgupta A, DiCenzo D, Gandhi S, Pezo R, Eisen A, Warner E, Wright F

Cancers20255 citationsOpen Access

DOI: 10.3390/cancers17152594

Prediction of Chemotherapy Response in Locally Advanced Breast Cancer Patients at Pre-Treatment Using CT Textural Features and Machine Learning: Comparison of Feature Selection Methods

Moslemi A, Osapoetra LO, Dasgupta A, Halstead S, Alberico D, Trudeau M, Gandhi S, Eisen A, Wright F, Look-Hong N

Tomography20255 citationsOpen Access

DOI: 10.3390/tomography11030033

Risk Factors for Treatment Toxicity and High Side Effect Burden Among Breast Cancer Survivors: A Retrospective Chart Review

Alkhaifi M, Zhang E, Peera M, Jerzak K, Czarnota G, Eisen A, Roberts A, Carmona-Gonzalez CA, Pezo R, Gandhi S

Cancers20255 citationsSenior authorOpen Access

DOI: 10.3390/cancers17020328

Quantitative Ultrasound Texture Analysis of Breast Tumors: A Comparison of a Cart-Based and a Wireless Ultrasound Scanner.

Alberico D, Sannachi L, Anzola Pena ML, Yip J, Osapoetra LO, Halstead S, DiCenzo D, Gandhi S, Wright F, Oelze M, Czarnota GJ

Journal of imaging20252 citationsOpen Access

DOI: 10.3390/jimaging11050146 PMID: 40423003

Validation of Quantitative Ultrasound and Texture Derivative Analyses-Based Model for Upfront Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer

Chan AW, Sannachi L, Moore-Palhares D, Dasgupta A, Gandhi S, Pezo R, Eisen A, Warner E, Wright FC, Hong NL

Journal of Imaging20252 citationsOpen Access

DOI: 10.3390/jimaging11040109

Quantitative ultrasound imaging for predicting response and guiding personalized neoadjuvant chemotherapy in breast cancer: randomized phase 2 clinical trial results

Moore-Palhares D, Alberico D, Chan AW, DiCenzo D, Sannachi L, Dasgupta A, Yip J, Pena MLA, Gandhi S, Pezo R

npj Precision Oncology20252 citationsOpen Access

DOI: 10.1038/s41698-025-01134-x

Radiation enhancement using focussed ultrasound-stimulated microbubbles for breast cancer: A Phase 1 clinical trial

Moore-Palhares D, Dasgupta A, Saifuddin M, Pena MLA, Prasla S, Ho L, Lu L, Kung J, McNabb E, Sannachi L

PLoS Medicine202434 citationsOpen Access

DOI: 10.1371/journal.pmed.1004408

Apriori prediction of chemotherapy response in locally advanced breast cancer patients using CT imaging and deep learning: transformer versus transfer learning

Moslemi A, Osapoetra LO, Dasgupta A, Alberico D, Trudeau M, Gandhi S, Eisen A, Wright F, Look-Hong N, Curpen B

Frontiers in Oncology202411 citationsOpen Access

DOI: 10.3389/fonc.2024.1359148

Profile data last refreshed on September 29, 2026 from the university directory, publication records and public research funding records.

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Sonal Gandhi

Research

Latest papers

Quantitative Ultrasound Texture Analysis of Breast Tumor Responses to Chemotherapy: Comparison of a Cart-Based and a Wireless Ultrasound Scanner.

Early tumour size changes from neoadjuvant chemotherapy as a predictor of pathologic response in breast cancer.

Validation of a Quantitative Ultrasound Texture Analysis Model for Early Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: A Prospective Serial Imaging Study

Prediction of Chemotherapy Response in Locally Advanced Breast Cancer Patients at Pre-Treatment Using CT Textural Features and Machine Learning: Comparison of Feature Selection Methods

Risk Factors for Treatment Toxicity and High Side Effect Burden Among Breast Cancer Survivors: A Retrospective Chart Review

Quantitative Ultrasound Texture Analysis of Breast Tumors: A Comparison of a Cart-Based and a Wireless Ultrasound Scanner.

Validation of Quantitative Ultrasound and Texture Derivative Analyses-Based Model for Upfront Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer

Quantitative ultrasound imaging for predicting response and guiding personalized neoadjuvant chemotherapy in breast cancer: randomized phase 2 clinical trial results

Radiation enhancement using focussed ultrasound-stimulated microbubbles for breast cancer: A Phase 1 clinical trial

Apriori prediction of chemotherapy response in locally advanced breast cancer patients using CT imaging and deep learning: transformer versus transfer learning

Frequent collaborators

Frances Wright

Maureen Trudeau

Gregory Czarnota

Ali Sadeghi-Naini

Belinda Curpen

Andrea Eisen

Nicole Look Hong

Michael Kolios

William Tran

Greg Stanisz

Mia Skarpathiotakis

Arjun Sahgal

Daniel Moore Freitas Palhares

Carrie Betel

Amanda Roberts

Nicole Hong

Rossanna Pezo

Ellen Warner

Muriel Brackstone

Edward Chow

Irene Karam

Hany Soliman

Danny Vesprini

Eileen Rakovitch

Ivy Cheng

Monika Krzyzanowska

Martin Yaffe

Elan Panov

Louis Liu

Negar Ahmadi

Mantaj Brar

Peter Stotland

Laura Snell

Sayf Gazala

Brittany Greene

Chaya Shwaartz

Carmine Simone

Adena Scheer

Rahima Nenshi

Paul Engels